To assess whether sex and comorbidity are associated with the risk of 90-day readmission and associated mortality after nonelective primary total hip arthroplasty (THA) for hip fracture in the United States.

We used the 2016-2019 US Nationwide Readmissions Database, a nationally representative dataset of readmissions, to examine 90-day readmission outcomes after primary nonelective THA with a primary diagnosis of hip fracture. Sex and medical comorbidity (Deyo-Charlson Comorbidity Index) were variables of interest. We adjusted for demographics (age), social determinants of health (income, region, insurance payer), and hospital characteristics (control, location/teaching status, bed size). We calculated adjusted odds ratio (aOR) and 95% confidence intervals (CIs) in multivariable-adjusted logistic regression analyses.

Of the 346,030 nonelective primary THAs for hip fracture performed in the United States, 61,443 (17.8%) had a 90-day readmission. For readmitted patients, the mean age was 80.2 years (SD, 9.6), 62.0% were women, and 90.6% had Medicare payer. In multivariable-adjusted analysis, compared with men, women had a lower aOR of 0.75 (95% CI, 0.73-0.77; p < 0.001) for 90-day readmission and lower aOR of 0.76 (95% CI, 0.69-0.84; p < 0.001) of in-hospital mortality during readmission, after nonelective primary THA for hip fracture. Deyo-Charlson index scores of 1 and ≥2 were associated with higher aOR of 90-day readmission at 1.53 (95% CI, 1.47-1.59; p < 0.001) and 2.20 (95% CI, 2.13-2.28; p < 0.001) and higher in-hospital mortality during readmission, 1.20 (95% CI, 1.01-1.42; p = 0.04) and 1.69 (95% CI, 1.40-1.97; p < 0.001), respectively.

In contemporary U.S. national data from 2016 to 2019, medical comorbidity and male sex were each associated with a higher risk of 90-day readmission and in-hospital mortality following primary nonelective THA for hip fracture. Further investigation into mechanisms and pathways of increased risk in men and those with higher medical comorbidity undergoing primary THA for hip fracture is needed, which can lead to the development of pathways for risk reduction and improved outcomes.

Shoulder arthroplasty (SA) is an effective surgical procedure to treat advanced degenerative conditions of the shoulder as well as tumors or fractures of the proximal humerus. Utilization of SA is increasing in the United States as indications have expanded, however, health care disparities around utilization and clinical outcomes following SA also exist. This review examines current literature on patient related health care disparities in SA.

Within SA, patient related health care disparities are highly influenced by race, ethnicity, socioeconomic status, geography, and patient sex. Short term clinical outcomes show that Non-White patients experience lower utilization of SA, longer hospital stays, higher complications, and increased readmissions. Sex related disparities demonstrate that female patients have a longer interval between initial consultation and surgery. Additionally, females experience lower functional scores and higher rates of perioperative fractures than males. In the current era of value-based care, wide disparities in early postoperative outcomes increase the cost of healthcare to both patients and health systems. Disparities in SA remain underexplored compared to other health topics. Existing literature highlights suboptimal outcomes in racially, ethnically, or socially disadvantaged groups. Active awareness and recognition of healthcare disparities are required to renew and strengthen initiatives to deliver more equitable care after SA.

Obstructive sleep apnea (OSA) is a frequent comorbidity. The current study evaluated whether there is a difference in the perioperative outcome after total hip arthroplasty (THA) in patients who had a low to moderate risk for OSA and high risk for OSA, respectively.

After excluding patients who had concomitant lung disease (chronic obstructive pulmonary disease, asthma, or lung fibrosis) and those missing a STOP-Bang Score, 1,141 THA patients who had OSA were included in this retrospective study. Patients at low to moderate risk for OSA (STOP-Bang Score 0 to 4) and patients at high risk for OSA (STOP-Bang Score 5 to 8) were compared, and SpO2 (oxygen saturation) drops < 90% as well as readmission rates were compared between patients who did and did not use continuous positive airway pressure (CPAP).

There was no difference in the risk of SpO2 drop below 90% (1 versus 0%, P = 0.398) and readmission rate (2 versus 2%, P = 0.662) between patients who had low to moderate OSA risk (327 THA) and high OSA risk (814 THAs). There was no difference in SpO2 (P > 0.999) and a decrease in oxygen flow rate from the postanesthesia care unit to the morning of the first postoperative day. A CPAP device was used by 41% (467 of 1,141) of patients. There were no differences in SpO2 drop < 90% (0 versus 0%, P = 0.731) and readmission rate (2 versus 2%, P = 0.612) between patients who did and did not use a CPAP machine.

The current study showed no difference in perioperative outcomes between OSA patients undergoing THA who had a low STOP-Bang Score and patients who had a high STOP-Bang Score, regardless of the use of a CPAP machine. These data suggest that an elevated Stop-Bang Score does not indicate an increased perioperative risk for OSA patients when deciding on outpatient discharge.

The primary aim of this study was to assess 30-day and 1-year rates for unplanned readmission due to implant-associated complications following total hip (THA) or total knee arthroplasty (TKA) in Austria. Secondary endpoints were reasons for readmission and differences in revision risk depending on demographics and hospital size.

Data on patients receiving THA (n = 18,508) or TKA (n = 15,884) in orthopaedic and trauma units across Austria within a 1-year period (January 2021 to December 2021) were retrieved from a government-maintained database. The absolute and relative frequencies of unplanned readmissions were calculated. Risk factors for 30-day and 1-year readmission following THA or TKA due to implant-associated complications were investigated.

The 30-day and 1-year readmission rates for any implant-associated complication were 1.0% (339 of 34,392) and 3.0% (1,024 of 34,392), respectively. Relative to the overall readmission rate for any complication at 30 days (n = 1,952) and 1 year (n = 12,109), readmission rates for implant-associated complications were 17.4 and 8.5%, respectively. The 30-day readmission rates were higher in THA (1.2%) than TKA patients (0.8%; P = 0.001), while it was the opposite at 1 year (THA, 2.7%; TKA, 3.3%; P < 0.001). Mechanical complications (554 of 1,024) were the most common reason for 1-year readmission. Prolonged length of in-hospital stay independently associated with increased 1-year readmission risk in THA and TKA patients. Treatment at large-sized hospitals was associated with a higher 1-year readmission risk in TKA patients.

The 30-day and 1-year readmission rates for implant-associated complications following THA or TKA in Austria are lower than reported in other countries, with similar risk factors and reasons for readmission. Considering that almost 20% of unplanned hospital readmissions following total joint arthroplasty are attributable to implant-associated complications, optimization of in-hospital and postdischarge medical care for these patients is warranted.

Morbid obesity negatively affects outcomes after total hip arthroplasty (THA). The optimal strategy for weight loss before THA has not been identified. Recently, glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become increasingly popular as an effective pharmacologic weight loss agent. The goal of this study was to evaluate the effect of perioperative GLP-1 RA use in patients who have morbid obesity undergoing primary THA on postoperative outcomes.

Using an administrative claims database, patients who had morbid obesity (body mass index [BMI] ≥ 40.0) undergoing primary THA were identified. Patients who had morbid obesity and GLP-1 RA use for three months before and after surgery (treatment) were matched to patients who had morbid obesity without GLP-1 RA use (control) and to a comparison group of patients who had severe obesity (BMI = 35.0 to 39.9) in a 1:4:4 ratio, resulting in 771, 3,084, and 3,084 patients in the treatment, control, and severe obesity comparison group, respectively. Overall group differences in 90-day and 2-year postoperative outcomes were compared using univariable tests, followed by post hoc pairwise testing and P-value adjustment.

Patients who had morbid obesity on GLP-1 RA had a significantly lower rate of 90-day periprosthetic joint infection (1.6 versus 3.2%; P = 0.03), readmission (6.9 versus 9.7%; P = 0.04), any medical complication (10.5 versus 14.1%; P = 0.03), and postoperative hematoma formation (0 versus 1.3%, P < 0.01) than controls. Patients who had morbid obesity on GLP-1 RA demonstrated lower rates of hematoma formation (0 versus 1.0%; P < 0.01) than patients who had severe obesity (BMI = 35.0 to 39.9). There were no differences in 2-year surgical complications.

Perioperative use of GLP-1 RA in patients who had morbid obesity is associated with reduced risk of acute periprosthetic joint infection and 90-day hospital readmission. The risk is reduced to a level comparable to obese patients who have a BMI < 40.0. Randomized controlled trials are necessary to determine the true effect and mechanism of action.

The pre-existing co-morbidities have a major impact on the outcomes of Orthopaedic procedures as shown by the several studied in various contexts. However, the specific influence of these co-morbidities on first metatarsophalangeal joint fusion remains relatively underexplored. This study aims to address this gap by examining the association between co-morbidities such as obesity, smoking, diabetes, advancing age, and rheumatoid arthritis, and the outcomes of first metatarsophalangeal joint fusion.

A comprehensive search was conducted across multiple databases, including MEDLINE, EMBASE, and CINAHL. Relevant articles were identified and processed using Covidence, with independent assessment conducted to ensure inclusion criteria were met. The focus of the review was on analysing the effects of specific co-morbidities on fusion outcomes.

Seven qualifying studies were identified for full-text extraction, revealing significant heterogeneity across the literature, which hindered direct statistical comparisons. The findings presented inconclusive effects of obesity on fusion outcomes, with ambiguous impacts observed for diabetes mellitus and smoking. Additionally, no discernible variance was observed in functional outcomes across different age groups. Furthermore, steroid usage in rheumatoid arthritis cases demonstrated delayed fusion in revision procedures, while primary outcomes remained uncertain.

This systematic review highlights the need for further research with standardised methodologies to better understand the correlation between pre-existing co-morbidities and outcomes in first metatarsophalangeal joint fusion. By elucidating these relationships, clinicians can better tailor treatment approaches and optimise patient care in this specific Orthopaedic context.

Level III.

To investigate the incidence, primary causes, and risk factors for unplanned readmissions within one year after the first primary total hip arthroplasty (THA) for osteonecrosis of the femoral head (ONFH).

Data were retrospectively collected from patients who had undergone the first primary THA for ONFH at two tertiary hospitals between January 2021 and December 2022, with complete 1-year follow-up assessments. Patients who experienced an unplanned readmission within 1 year were classified as the readmission group, while the others as the non-readmission group. The incidence rate and primary causes of unplanned readmission were determined, and the risk factors were identified through univariate and multivariate analyses.

A total of 594 eligible patients were included, with 363 being men (61.1%) and an average age of 59.2 years at the time of surgery. Forty-seven patients were readmitted within one year, representing an accumulated rate of 7.9%. Among these, 18 (38.3%) readmissions occurred within 30 days and 27 (57.4%) within 90 days. The primary reasons for readmissions included hip dislocation (35.3%), followed by periprosthetic fracture, deep vein thrombosis, delayed incision healing, surgical site infection and others. The multivariate regression model revealed that age (every 10-year increment, OR, 1.39; 95% CI, 1.12-1.88), ARCO stage IV vs. Ⅲ (OR, 3.72; 95% CI, 1.96-7.22), CCI ≥4 vs. <4 (OR = 5.49; 95% CI, 2.16-13.77), admission anemia (OR, 2.72; 95% CI, 1.37-6.83) and surgeon inexperience (OR, 2.74; 95% CI, 1.29-6.73) were significantly associated with unplanned readmission.

These findings provide valuable clinical insights into unplanned readmission after THA for ONFH and may aid in preoperative counselling for patients and enhance perioperative care.

Numerous studies demonstrate that modifiable lifestyle risk factors can influence patient outcomes including survivability, quality of life, and postoperative complications following orthopaedic surgery. The purpose of this study was to determine the impact of modifiable lifestyle risk factors on postoperative medical and surgical complications following a total joint arthroplasty (TJA) in a large national healthcare system.

A retrospective chart review of a large national health system database was performed to identify patients who underwent TJA between 2017 and 2021. TJA included total knee arthroplasty, total hip arthroplasty, and total shoulder arthroplasty. Modifiable lifestyle risk factors were defined as tobacco use, narcotic drug abuse, hypertension, and diabetes mellitus. Postoperative medical complications and postoperative surgical complications were collected. Logistic regression and odds ratio point estimate analysis were conducted to assess for associations between postoperative complications and modifiable lifestyle risk factors.

Of the 16,940 patients identified, the mean age was 71 years, mean BMI was 29.7 kg/m2, and 62% were women. We found that 3.5% had used narcotics, 8.7% were past or current smokers, 24% had diabetes, and 61% had hypertension; in addition, 5.4% experienced postoperative medical complications and 6.4% experienced postoperative surgical complications. Patients who used narcotics were 90% more likely to have postoperative complications (p < 0.0001) and 105% more likely to experience prosthetic complications (p < 0.0001). Similarly, patients with tobacco use were 65% more likely to have postoperative complications (p < 0.0001) and 27% more likely to experience prosthetic complications.

Our results demonstrate critical rates of increased postoperative medical and surgical complications after TJA for patients with narcotic abuse, tobacco use, or diabetes mellitus. Furthermore, adopting preoperative interventions and optimization programs informed by our findings on specific modifiable risk factors could aid orthopaedic surgeons in optimizing patient health.

III; Retrospective study.

This study aimed to determine the prevalence of polypharmacy, comorbidities and to investigate factors associated with polypharmacy among adult patients with Chronic Obstructive Pulmonary Disease (COPD).

This was a retrospective single-centre cross-sectional study. Patients with a confirmed diagnosis of COPD according to the GOLD guidelines between 28 February 2020 and 1 March 2023 were included in this study. Patients were excluded if a pre-emptive diagnosis of COPD was made clinically without spirometry evidence of fixed airflow limitation. Population characteristics were presented as frequency for categorical variable. Logistic regression analysis was used to identify predictors of polypharmacy.

The study sample included a total of 705 patients with COPD. Most of the study sample were males (60%). The mean age of the study population was 65 years old. The majority of the study population had comorbid diseases (68%), hypertension and diabetes were the most common co-existent diseases. Around 55% of the study sample had polypharmacy. Females were significantly less likely to be on polypharmacy compared to males (OR = 0.68, 95% CI = [0.50-0.92], P-value = 0.012)). On the other hand, older patients aged 65.4 or more (OR = 2.31, 95% CI = [1.71-3.14], P-value ≤ 0.001), those with high BMI (≥ 29.2) (OR = 1.42, 95% CI = [1.05-1.92], P-value = 0.024), current smokers (OR = 1.9, 95% CI = [1.39-2.62], P-value ≤ 0.001), those who are receiving home care (OR = 5.29, 95% CI = [2.46-11.37], P-value ≤ 0.001), those who have comorbidities (OR = 19.74, 95% CI = [12.70-30.68], P-value ≤ 0.001) were significantly more likely to be on polypharmacy (p ≤ 0.05).

Polypharmacy is common among patients with COPD. Patients with high BMI, previous ICU hospitalization and older age are more likely to have polypharmacy. Future analytical studies are warranted to investigate outcomes in patients with COPD and polypharmacy.

Readmission rate after surgery is an important outcome measure in revealing disparities. This study aimed to examine how 30-day readmission rates and causes of readmission differ by race and specific injury areas within orthopaedic surgery.

The American College of Surgeon-National Surgical Quality Improvement Program database was queried for orthopaedic procedures from 2015 to 2019. Patients were stratified by self-reported race. Procedures were stratified using current procedural terminology codes corresponding to given injury areas. Multiple logistic regression was done to evaluate associations between race and all-cause readmission risk, and risk of readmission due to specific causes.

Of 780,043 orthopaedic patients, the overall 30-day readmission rate was 4.18%. Black and Asian patients were at greater (OR = 1.18, P < 0.01) and lesser (OR = 0.76, P < 0.01) risk for readmission than White patients, respectively. Black patients were more likely to be readmitted for deep surgical site infection (OR = 1.25, P = 0.03), PE (OR = 1.64, P < 0.01), or wound disruption (OR = 1.45, P < 0.01). For all races, all-cause readmission was highest after spine procedures and lowest after hand/wrist procedures.

Black patients were at greater risk for overall, spine, shoulder/elbow, hand/wrist, and hip/knee all-cause readmission. Asian patients were at lower risk for overall, spine, hand/wrist, and hip/knee surgery all-cause readmission. Our findings can identify complications that should be more carefully monitored in certain patient populations.

Identification of knee osteoarthritis (OA) pain phenotypes, their transition patterns, and risk factors for worse phenotypes, may guide prognosis and targeted treatment; however, few studies have described them. We aimed to investigate different pain phenotypes, their transition patterns, and potential risk factors for worse pain phenotypes.

Utilizing data from the Osteoarthritis Initiative (OAI), pain severity was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale. We identified the activity-related pain phenotypes and estimated the transition probabilities of pain phenotypes from baseline to the 24-month using latent transition analysis. We examined the risk factors at baseline with the 24-month pain phenotypes and the transition of pain phenotypes.

In 4796 participants, we identified four distinct knee pain phenotypes at both baseline and 24-month follow-up: no pain, mild pain during activity (Mild P-A), mild pain during both rest and activity (Mild P-R-A), and moderate pain during both rest and activity (Mod P-R-A). 82.9% knees with no pain at baseline stayed the same at 24-month follow-up, 17.1% progressed to worse pain phenotypes. Among "Mild P-A" at baseline, 32.0% converted to no-pain, 12.8% progressed to "Mild P-R-A", and 53.2% remained. Approximately 46.1% of "Mild P-R-A" and 54.5% of "Mod P-R-A" at baseline experienced remission by 24-month. Female, non-whites, participants with higher depression score, higher body mass index (BMI), higher Kellgren and Lawrence (KL) grade, and knee injury history were more likely to be in the worse pain phenotypes, while participants aged 65 years or older and with higher education were less likely to be in worse pain phenotypes at 24-month follow-up visit. Risk factors for greater transition probability to worse pain phenotypes at 24-month included being female, non-whites, participants with higher depression score, higher BMI, and higher KL grade.

We identified four distinct knee pain phenotypes. While the pain phenotypes remained stable in the majority of knees over 24 months period, substantial proportion of knees switched to different pain phenotypes. Several socio-demographics as well as radiographic lesions at baseline are associated with worse pain phenotypes at 24-month follow-up visit and transition of pain phenotypes.

The risk factors influencing the readmission within 90 days following total joint replacement (TJR) are complex and heterogeneous, and few systematic reviews to date have focused on this issue.

Web of Science, Embase, PubMed, and Chinese National Knowledge Infrastructure databases were searched from the inception dates to December 2022. Relevant, published studies were identified using the following keywords: risk factors, rehospitalization, total hip replacement, total knee replacement, total shoulder replacement, and total joint replacement. All relevant data were collected from the studies that meet the inclusion criteria. The methodological quality of the studies was assessed using the Newcastle-Ottawa Scale (NOS).

Of 68,336 patients who underwent TJR, 1,269,415 (5.4%) were readmitted within 90 days. High American Society of Anesthesiologists (ASA) class (OR, 1.502; 95%CI:1.405-1.605; P < .001), heart failure (OR,1.494; 95%CI: 1.235-1.754; P < .001), diabetes (OR, 1.246; 95%CI:1.128-1.377; P < .001), liver disease (OR, 1.339; 95%CI:1.237-1.450; P < .001), drinking (OR, 1.114; 95%CI:1.041-1.192; P = .002), depression (OR, 1.294; 95%CI:1.223-1.396; P < .001), urinary tract infection (OR, 5.879; 95%CI: 5.119-6.753; P < .001), and deep vein thrombosis (OR, 10.007; 95%CI: 8.787-11.396; P < .001) showed statistically positive correlation with increased 90-day readmissions after TJR, but high blood pressure, smoking, and pneumonia had no significant association with readmission risk.

The findings of this review and meta-analysis will aid clinicians as they seek to understand the risk factors for 90-day readmission following TJR. Clinicians should consider the identified key risk factors associated with unplanned readmissions and develop strategies to risk-stratify patients and provide dedicated interventions to reduce the rates of readmission and enhance the recovery process.

The primary objectives of this study were to focus on one - year unplanned readmissions after THA in ONFH patients and to investigate rates, causes, and independent risk factors.

Between October 2014 and April 2019, eligible patients undergoing THA were enrolled and divided into unplanned readmission within one year and no readmission in this study. All unplanned readmissions within 1 year of discharge were reviewed for causes and the rate of unplanned readmissions was calculated. Demographic information, ONFH characteristics, and treatment-related variables of both groups were compared and analysed.

Finally, 41 out of 876 patients experienced unplanned readmission. The readmission rate was 1.83% in 30 days 2.63% in 90 days, and 4.68% in 1 year. Prosthesis dislocation was always the most common cause at all time points studied within a year. The final logistic regression model revealed that higher risks of unplanned readmission were associated with age > 60 years (P = 0.001), urban residence (P = 0.001), ARCO stage IV (P = 0.025), and smoking (P = 0.033).

We recommend the introduction of a strict smoking cessation program prior to surgery and the development of comprehensive management strategies, especially for the elderly and end-stage ONFH patients, and pay more attention to preventing prosthesis dislocation in the early days after surgery.

The purpose of this study was to identify modifiable medical comorbidities, laboratory markers and flaws in perioperative management that increase the risk of acute dislocation in total hip arthroplasty (THA) patients.

All THA with primary indications of osteoarthritis from 2007 to 2020 were queried from the National Surgical Quality Improvement Program (NSQIP) database. Demographic data, preoperative laboratory values, recorded past medical history, operative details as well as outcome and complication information were collected. The study population was divided into two cohorts: non-dislocation and dislocation patients. Statistics were performed to compare the characteristics of both cohorts and to identify risk factors for prosthetic dislocation (α < 0.05).

275,107 patients underwent primary THA in 2007 to 2020, of which 1,258 (0.5%) patients experienced a prosthetic hip dislocation. Demographics between non-dislocation and dislocation cohorts varied significantly in that dislocation patients were more likely to be female, older, with lower body mass index and a more extensive past medical history (all p < 0.05). Moreover, hypoalbuminemia and moderate/severe anemia were associated with increased risk of dislocation in a multivariate model (all p < 0.05). Finally, use of general anesthesia, longer operative time, and longer length of hospital stay correlated with greater risk of prosthetic dislocation (all p < 0.05).

Elderly female patients and patients with certain abnormal preoperative laboratory values are at risk for sustaining acute dislocations after index THA. Careful interdisciplinary planning and medical optimization should be considered in high-risk patients as dislocations significantly increase the risk of sepsis, cerebral vascular accident, and blood transfusions on readmission.

Cementless fixation during total hip arthroplasty (THA) is the predominant mode of fixation utilized for both acetabular and femoral components during elective primary THAs performed in the United States. This study aims to compare early complication and readmission rates between primary THA patients receiving cemented versus cementless femoral fixation. The 2016-2017 National Readmissions Database was queried to identify patients undergoing elective primary THA. Postoperative complication and readmission rates at 30, 90, and 180 days were compared between cemented and cementless cohorts. Univariate analysis was conducted to compare differences between cohorts. Multivariate analysis was performed to account for confounding variables. Of 447,902 patients, 35,226 (7.9%) received cemented femoral fixation, while 412,676 (92.1%) did not. The cemented group was older (70.0 vs. 64.8, p < 0.001), more female (65.0% vs. 54.3%, p < 0.001), and more comorbid (CCI 3.65 vs. 3.22, p < 0.001) compared to the cementless group. On univariate analysis, the cemented cohort had decreased odds of periprosthetic fracture at 30 days postoperatively (OR: 0.556, 95%-CI 0.424-0.729, p < 0.0001), but higher odds of hip dislocation, periprosthetic joint infection, aseptic loosening, wound dehiscence, readmission, medical complications, and death at all timepoints. On multivariate analysis, the cemented fixation cohort demonstrated reduced odds of periprosthetic fracture at all postoperative timepoints: 30 (OR: 0.350, 95%-CI 0.233-0.506, p < 0.0001), 90 (OR: 0.544, 95%-CI 0.400-0.725, p < 0.0001), and 180 days (OR: 0.573, 95%-CI 0.396-0.803, p = 0.002). Cemented femoral fixation was associated with significantly fewer short-term periprosthetic fractures, but more unplanned readmissions, deaths, and postoperative complications compared to cementless femoral fixation in patients undergoing elective THA.

Background Total joint arthroplasty (TJA) has moved to a value-based care model that emphasizes increased quality and decreased costs. Preoperative patient selection and optimization significantly improve postoperative outcomes, improve quality, and decrease systemic costs. We introduced a readmission risk assessment tool (RRAT) previously verified in the literature at a large, private practice, multispecialty hospital to determine if implementation could improve outcomes and decrease our readmission rates. Methods All patients were administered the RRAT scoring tool prior to surgery. All staff was trained prior by a team consisting of multiple orthopedic surgeons, internal medicine and cardiac specialists, and anesthesiologists. If the score received by the patient was greater or equal to 4, a letter was sent immediately to the operative physician to work on optimization and a list of options for optimization was provided. No patients were expressly denied surgery. Results All 4912 patients from September 2017 to March 2020 were screened using the RRAT tool. A total of 228 patients had an RRAT score greater than 4 and required notification of the index surgeon. The overall readmission rate was 2.61% for all patients. We noted a readmission rate of 2.35% for those with a score of <4, 4.27% for those between 4-6, and 13.64% for those with a readmission rate >6. The odds ratio of those readmitted with an RRAT score >6 was 6.5488 (1.9080-22.4775, 95% CI). The American Society of Anesthesiologists (ASA) score and RRAT score were significantly correlated (Spearman Rho =0.324, P<0.001). Thirty-day readmission rates across the system decreased from 3.7% to 2.61% (p<0.05) when compared to the readmission rate in the year prior to the application of RRAT (September 2016 - August 2017). Conclusion The preoperative RRAT score is significantly correlated with 30-day readmission rates. Notification of the surgeon preoperatively of risk factors with modification options significantly lowered readmission rates in our study. Preoperative optimization leads to a decreased readmission rate and surgeon involvement is paramount to adherence.

Non-White patients have higher rates of discharge to an extended care facility, hospital readmission, and emergency department use after primary THA and TKA. The reasons for this are unknown. Place of residence, which can vary by race, has been linked to poorer healthcare outcomes for people with many health conditions. However, the potential relationship between place of residence and disparities in these joint arthroplasty outcomes is unclear.

(1) Are neighborhood-level characteristics, including racial composition, marital proportions, residential vacancy, educational attainment, employment proportions, overall deprivation, access to medical care, and rurality associated with an increased risk of discharge to a facility, readmission, and emergency department use after elective THA and TKA? (2) Are the associations between neighborhood-level characteristics and discharge to a facility, readmission, and emergency department use the same among White and Black patients undergoing elective THA and TKA?

Between 2007 and 2018, 34,008 records of elective primary THA or TKA for osteoarthritis, rheumatoid arthritis, or avascular necrosis in a regional healthcare system were identified. After exclusions for unicompartmental arthroplasty, bilateral surgery, concomitant procedures, inability to geocode a residential address, duplicate records, and deaths, 21,689 patients remained. Ninety-seven percent of patients in this cohort self-identified as either White or Black, so the remaining 659 patients were excluded due to small sample size. This left 21,030 total patients for analysis. Discharge destination, readmissions within 90 days of surgery, and emergency department visits within 90 days were identified. Each patient's street address was linked to neighborhood characteristics from the American Community Survey and Area Deprivation Index. A multilevel, multivariable logistic regression analysis was used to model each outcome of interest, controlling for clinical and individual sociodemographic factors and allowing for clustering at the neighborhood level. The models were then duplicated with the addition of neighborhood characteristics to determine the association between neighborhood-level factors and each outcome. The linear predictors from each of these models were used to determine the predicted risk of each outcome, with and without neighborhood characteristics, and divided into tenths. The change in predicted risk tenths based on the model containing neighborhood characteristics was compared to that without neighborhood characteristics.The change in predicted risk tenth for each outcome was stratified by race.

After controlling for age, sex, insurance type, surgery type, and comorbidities, we found that an increase of one SD of neighborhood unemployment (odds ratio 1.26 [95% confidence interval 1.17 to 1.36]; p < 0.001) was associated with an increased likelihood of discharge to a facility, whereas an increase of one SD in proportions of residents receiving public assistance (OR 0.92 [95% CI 0.86 to 0.98]; p = 0.008), living below the poverty level (OR 0.82 [95% CI 0.74 to 0.91]; p < 0.001), and being married (OR 0.80 [95% CI 0.71 to 0.89]; p < 0.001) was associated with a decreased likelihood of discharge to a facility. Residence in areas one SD above mean neighborhood unemployment (OR 1.12 [95% CI [1.04 to 1.21]; p = 0.002) was associated with increased rates of readmission. An increase of one SD in residents receiving food stamps (OR 0.83 [95% CI 0.75 to 093]; p = 0.001), being married (OR 0.89 [95% CI 0.80 to 0.99]; p = 0.03), and being older than 65 years (OR 0.93 [95% CI 0.88 to 0.98]; p = 0.01) was associated with a decreased likelihood of readmission. A one SD increase in the percentage of Black residents (OR 1.11 [95% CI 1.00 to 1.22]; p = 0.04) and unemployed residents (OR 1.15 [95% CI 1.05 to 1.26]; p = 0.003) was associated with a higher likelihood of emergency department use. Living in a medically underserved area (OR 0.82 [95% CI 0.68 to 0.97]; p = 0.02), a neighborhood one SD above the mean of individuals using food stamps (OR 0.81 [95% CI 0.70 to 0.93]; p = 0.004), and a neighborhood with an increasing percentage of individuals older than 65 years (OR 0.90 [95% CI 0.83 to 0.96]; p = 0.002) were associated with a lower likelihood of emergency department use. With the addition of neighborhood characteristics, the risk prediction tenths of the overall cohort remained the same in more than 50% of patients for all three outcomes of interest. When stratified by race, neighborhood characteristics increased the predicted risk for 55% of Black patients for readmission compared with 17% of White patients (p < 0.001). The predicted risk tenth increased for 60% of Black patients for emergency department use compared with 21% for White patients (p < 0.001).

These results can be used to identify high-risk patients who might benefit from preemptive interventions to avoid these particular outcomes and to create more realistic, comprehensive risk adjustment models for value-based care programs. Additionally, this study demonstrates that neighborhood characteristics are associated with greater risk for these outcomes among Black patients compared with White patients. Further studies should consider that race/ethnicity and neighborhood characteristics may not function independently from each other. Understanding this link between race and place of residence is essential for future racial disparities research.

Level III, therapeutic study.

Joint arthroplasty has become increasingly more common in the United States, and it is important to examine the patient-based risk factors and surgical variables associated with hospital readmissions. The purpose of this study was to identify stratified rates and risk factors for readmission after upper extremity (shoulder, elbow, and wrist) and lower extremity (hip, knee, and ankle) arthroplasty.

All patients undergoing upper and lower extremity arthroplasty from 2008-2018 were identified using the National Surgical Quality Improvement Program dataset. Patient demographics, medical comorbidities and surgical characteristics were examined utilizing uni- and multi-variate analysis for significant predictors of 30-days hospital readmission.

A total of 523,523 lower and 25,215 upper extremity arthroplasty patients were included in this study. A number of 22,183 (4.2%) lower and 1072 (4.4%) upper extremity arthroplasty patients were readmitted within 30 days of discharge. Significant risk factors for 30-days readmission after lower extremity arthroplasty included age, Body Mass Index (BMI), operative time, dependent functional status, American Society of Anesthesiologists (ASA) score ≥3, increased length of stay, and various medical comorbidities such as diabetes, tobacco dependency, and chronic obstructive pulmonary disease (COPD). An overweight BMI was associated with a lower odds of 30-days readmission when compared to a normal BMI for lower extremity arthroplasty. Analysis for upper extremity arthroplasty revealed similar findings of significant risk factors for 30-days hospital readmission, although diabetes mellitus was not found to be a significant risk factor.

Nearly one in 25 patients undergoing upper and lower extremity arthroplasty experiences hospital readmission within 30-days of index surgery. There are several modifiable risk factors for 30-days hospital readmission shared by both lower and upper extremity arthroplasty, including tobacco smoking, COPD, and hypertension. Optimization of these medical comorbidities may mitigate the risk short-term readmission following joint arthroplasty procedures and improve overall cost effectiveness of perioperative surgical care.

The accuracy of preoperative patient-reported weight was never evaluated in patients undergoing lower extremity procedures. The purpose of this study was to: (1) compare the disparity between patient-reported and measured weights in patients undergoing lower extremity total joint arthroplasty (LE-TJA) and arthroscopy; and (2) investigate the association between patient-specific factors (patient age, BMI, zip code, and psychiatric comorbidities) and the accuracy of patient-reported weight.

Preoperative self-reported weights were retrospectively compared to measured weights in 400 LE-TJA and 85 control arthroscopy patients. The difference between reported and measured weights was calculated. Additionally, the percent of accurate reporting within 0.5, 1, and 5 kg ranges of the measured weight was calculated. Outcomes were compared between surgical modalities as well as between patient-specific factors.

There was low disparity (p = 0.838) between patient-reported and measured weights among LE-TJA (mean difference 0.18 ± 3.63 kg; p = 0.446) and that of arthroscopy (0.27 ± 4.08 kg; p = 0.129) patients. Additionally, LE-TJA patients were equally likely to report weights accurately within 0.5 kg of the measured weight (74% vs. 71.76%; p = 0.908). LE-TJA and arthroscopy patients had similar reporting accuracy within 1 and 5 kg of the measured weights (p > 0.05).

Preoperative patient-reported weights demonstrated acceptable accuracy in both LE-TJA and lower extremity arthroscopic orthopaedic patient populations making it a potentially reliable parameter of preoperative assessment.

The aim of the present study was to investigate the potential associations between specific knowledge, resilience and patient-reported outcome measures (PROMS) following primary total hip arthroplasty (THA).

In a cross-sectional prospective study, consecutive patients following primary THA were included at a rehabilitation center. A novel knowledge score and the validated Connor Davidson Resilience Scale (CD-RISC) were utilized to assess patients' specific knowledge and resilience, respectively. Additionally, patients completed a qualitative questionnaire regarding the information they had received. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), as well as the University of California and Los Angeles Score (UCLA) served as primary outcome measures. Stepwise multiple regression analysis was performed to identify potential predictors of outcome.

A total of 103 patients at a mean age of 67.5 years (SD 10.5, 38-88) were included in the analysis at a median of 55.5 days (IQR 43-81) following primary THA. The mean knowledge and resilience scores were 3.8 (SD 1.6, 0-7) and 69.5 (SD 18.5, 0-100), respectively. Forty-seven percent of patients were afraid of harming their prosthesis and these patients had up to 59% worse WOMAC scores (p < 0.001). WOMAC scores on admission to rehabilitation were predicted by resilience and knowledge scores (R2 = 0.106, p = 0.036). UCLA scores at the time of admission were predicted by knowledge scores (R2 = 0.078, p = 0.007).

The present study demonstrated that patients with a feeling of uncertainty had an inferior short-term functional outcome following primary THA. Moreover, it could be shown that higher specific knowledge and resilience are associated with a better functional outcome according to validated PROMS. While these findings need to be prospectively validated in future studies, specific patient knowledge and resilience may have a direct impact on the outcome of primary THA.

Obesity is associated with higher rates of adverse outcomes following primary total hip arthroplasty (THA). The purpose of this study is to utilize 3 national databases to develop projections of obesity within the general population and primary THA patients in the United States through 2029.

Data from the National Surgical Quality Improvement Program (NSQIP), the Behavior Risk Factor Surveillance System (BRFSS), and the National Health and Nutrition Examination Survey were queried for years 1999-2019. Current Procedural Terminology code 27130 was used to identify primary THA patients in NSQIP. Individuals were categorized according to body mass index (kg/m²) by year: normal weight (≤24.9); overweight (25.0-29.9); obese (30.0-39.9); and morbidly obese (≥40). Multinomial logistic regression was used to project categorical body mass index data for years 2020-2029.

A total of 8,222,013 individuals were included (7,986,414 BRFSS, 235,599 NSQIP THA). From 2011 to 2019, the prevalence of normal weight and overweight individuals declined in the general population (BRFSS) and in primary THA. Prevalence of obese/morbidly obese individuals increased in the general population from 31% to 36% and in primary THA from 42% to 49%. Projection models estimate that by 2029, 46% of the general population will be obese/morbidly obese and 55% of primary THA will be obese/morbidly obese.

By 2029, we estimate ≥55% of primary THA to be obese/morbidly obese. Increased resources dedicated to care pathways and research focused on improving outcomes in obese arthroplasty patients will be necessary as this population continues to grow.

Level III, Retrospective Cohort Study.

The primary aim of this study was to review trends in the same-day discharge (SDD) rate after minimally invasive sacrocolpopexy (MISCP). The secondary aim was to compare the composite 30-day postoperative complication rates between propensity score-matched SDD and admitted cohorts.

This was a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program database from 2015 to 2019. Patients who underwent MISCP were identified by Current Procedural Terminology codes. Concurrent hysterectomy, anterior or posterior repairs, rectopexy, and midurethral sling were also identified. Multivariable logistic regression and propensity score matching were performed.

A total of 12,762 MISCP patients were captured: 3,968 underwent MISCP only, 4,065 underwent MISCP with total laparoscopic hysterectomy, 734 underwent MISCP with laparoscopically assisted vaginal hysterectomy, and 3,995 underwent MISCP with laparoscopic supracervical hysterectomy. Overall, the SDD rate was 16.3%, with an increase from 12.3% in 2015 to 23.1% in 2019. Multivariable logistic regression showed that admitted patients were more likely to be older, to be of Black race, have an American Society of Anesthesiologists classification of 3 or 4, have hypertension requiring medication, have longer operative time, and have undergone concurrent anterior or posterior repair, rectopexy, or sling. After propensity score matching, the composite postoperative complication rates were similar between the 2 cohorts (5.7% vs 6.4%, P = 0.818). However, superficial surgical site infection was more likely in the SDD cohort (adjusted odds ratio, 2.3; P < 0.001) and blood transfusion in the admitted cohort (adjusted odds ratio, 11.9; P = 0.0.34).

The rate of SDD after MISCP seems to be increasing. Composite postoperative complication rates are similar between SDD and admitted cohorts.

Baseline health conditions can negatively impact cost of care and risk of complications after joint replacement, necessitating additional care and incurring higher costs. Bundled payments have been used for hip and knee replacement and the Centers for Medicare & Medicaid Services (CMS) is testing bundled payments for upper extremity arthroplasty. The purpose of this study was to determine the impact of predefined modifiable risk factors (MRFs) on total encounter charges, hospital length of stay (LOS), related emergency department (ED) visits and charges, and related hospital readmissions within 90 days after shoulder arthroplasty.

We queried the electronic medical record (EPIC) for all shoulder arthroplasty cases under DRG 483 within a regional 7-hospital system between October 2015 and December 2019. Data was used to calculate mean LOS, total 90-day charges, related emergency department (ED) visits and charges, and related hospital readmissions after shoulder arthroplasty. Data for patients who had 1 or more MRFs, defined as anemia (hemoglobin < 10 g/dL), malnutrition (albumin < 3.4 g/dL), obesity (BMI > 40), uncontrolled diabetes (random glucose > 180 mg/dL or glycated hemoglobin > 8.0%), tobacco use (International Classification of Diseases, Tenth Revision, code indicating patient is a smoker), and opioid use (opioid prescription within 90 days of surgery), were evaluated as potential covariates to assess the relationship between MRFs and total encounter charges, LOS, ED visits, ED charges, and hospital readmissions.

A total of 1317 shoulder arthroplasty patients were identified. Multivariable analysis demonstrated that anemia (+$19,847, confidence interval [CI] $15,743, $23,951; P < .001), malnutrition (+$5850, CI $3712, $7988; P < .001), and obesity (+$2762, CI $766, $4758, P = .007) independently contributed to higher charges after shoulder arthroplasty. Mean LOS was higher in patients with anemia (5.0 ± 4.0 days vs. 2.2 ± 1.6 days, P < .001), malnutrition (3.7 ± 2.8 days vs. 2.2 ± 1.5 days, P < .001), and uncontrolled diabetes (2.8 ± 2.8 days vs. 2.3 ± 1.7 days, P = .019). Univariate risk factors associated with a significant increase in total 90-day encounter charges included anemia (+$19,345, n = 37, P < .001), malnutrition (+$6971, n = 116, P < .001), obesity (+$2615, n = 184, P = .011), and uncontrolled diabetes (+$4377, n = 66, P = .011). Univariate risk for readmission within 90 days was higher in patients with malnutrition (odds ratio 3.0, CI 1.8, 4.9; P < .001).

Malnutrition, obesity, and anemia contribute to significantly higher costs after shoulder arthroplasty. Medical strategies to optimize patients before shoulder arthroplasty are warranted to reduce total 90-day encounter charges, length of stay, and risk of readmission within 90 days of surgery. Optimizing patient health before shoulder surgery will positively impact outcomes and cost containment for patients, institutions, and payors after shoulder arthroplasty.

Risk factors associated with primary THA readmissions have not yet been thoroughly analyzed when stratified by underlying indication. Given that a majority of THAs are done electively in the context of osteoarthritis (OA), it remains to be explored whether or not THAs performed non-electively in the trauma setting have different readmission patterns. Therefore, the aims of this study were to identify: 1) causes of readmissions; 2) patient-related risk-factors for readmissions; and 3) costs associated with the reasons for readmissions.

Patients who sustained a femoral neck fracture and underwent primary THA from 2005 to 2014 were identified. Those subsequently readmitted within 90-days following the procedure comprised the study cohort whereas those not readmitted served as the comparison cohort. Primary outcomes included identifying causes of readmissions, identifying patient-related risk-factors associated with readmissions and determining healthcare expenditures associated with the different readmission etiologies. A regression analysis was used to calculate the odds (OR) for readmissions. A p-value less than 0.01 was considered to be statistically significant.

The regression model demonstrated the greatest patient-related risk factors included: electrolyte and fluid disorders (OR: 1.80, p < 0.0001), morbid obesity (OR: 1.60, p < 0.0001), pathologic weight loss (OR: 1.58, p < 0.0001), congestive heart failure (OR: 1.41, p < 0.0001), were the leading risk factors for readmissions. Pulmonary-related causes ($42,357.71) of readmission were the leading driver of costs of care.

Orthopaedic surgeons should identify and optimize pre-operative management of patient-related risk factors that increase readmissions following primary THA for femoral neck fractures. Additionally, pulmonary-related causes of readmission lead to the highest costs of care.

III.

Unplanned hospital readmissions have a high prevalence and substantial healthcare costs. Preventive intervention during hospitalization holds the potential for reducing readmission risk. However, it is challenging to develop individualized interventions during hospitalization because the causes of readmissions have not been clearly known and because patients are heterogeneous. This work aimed to identify potentially modifiable risk factors of readmission to help clinicians better plan and prioritize interventions for different patient subgroups during hospitalization. We performed the analysis of associations between the changes of potentially modifiable risk factors and the change of readmission status with association rule mining and statistical methods. Twenty-nine risk factors were identified from the association rules, and twenty-five of them were potentially modifiable. The association rules with potentially modifiable risk factors can be recommended to different patient subgroups to support the development of customized readmission preventive interventions.

As the prevalence of peripheral vascular disease (PVD) continues to increase nationwide, studies demonstrating its effects following primary total knee arthroplasty (TKA) are limited. Therefore, the purpose of this study was to evaluate whether patients with PVD have higher rates of: 1) in-hospital lengths of stay (LOS); 2) readmissions; 3) medical complications; 4) implant-related complications; and 5) costs of care.

Using a nationwide database, patients with PVD undergoing primary TKA were identified and matched to controls in a 1:5 ratio by age, sex, and medical comorbidities. The query yielded 1,547,092 between the cohorts. Outcomes analyzed included: in-hospital LOS, readmission rates, complications, and costs of care. A p-value less than 0.004 was considered statistically significant.

PVD patients had significantly longer in-hospital LOS (4-days vs. 3-days, p < 0.0001). Additionally, the study cohort had a higher incidence and odds (OR) of readmissions (20.5 vs. 15.2%; OR: 1.43, 95% CI: 1.42-1.45, p < 0.0001), medical complications (2.46 vs. 1.32%; OR: 1.88, CI: 1.83-1.94, p < 0.0001), and implant-related complications (3.82 vs. 2.18%; OR: 1.78, CI: 1.26-1.58, p < 0.0001). Additionally, the study found patients with PVD had higher day of surgery (p < 0.0001) and 90-day costs of care (p < 0.0001).

After adjusting for confounding variables the results of the study show patients with PVD undergoing primary TKA have longer in-hospital LOS; in addition to higher rates of complications, readmissions, and costs of care. The study can be utilized by orthopaedists to adequately counsel patients of the potential complications following their procedure.

Although frailty has been shown to be associated with adverse outcomes in patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA), prior studies have not examined how race/ethnicity might moderate these associations. We aimed to assess race/ethnicity as a potential moderator of the associations of frailty and functional status with arthroplasty outcomes.

The National Surgical Quality Improvement Program was queried for patients who underwent THA or TKA from 2011 to 2017. Frailty was assessed using the modified frailty index. Regression analyses were conducted to examine associations connecting frailty/functional status with 30-day readmission, adverse discharge, and length of stay (LOS). Further analyses were conducted to investigate race/ethnicity as a potential moderator of these relationships.

We identified 219,143 TKA and 130,022 THA patients. Frailty and nonindependent functional status were positively associated with all outcomes (P < .001). Compared to White non-Hispanic patients, Black non-Hispanic patients had higher odds for all outcomes after TKA (P < .001) and for adverse discharge/longer LOS after THA (P < .001). Similar associations were observed for Hispanics for the adverse discharge/LOS outcomes. Race/ethnicity moderated the effects of frailty in TKA for all outcomes and in THA for adverse discharge/LOS. Race/ethnicity moderated the effects of nonindependent function in TKA for adverse discharge/LOS and on LOS alone for THA.

Disparities for Black non-Hispanic and Hispanic patients persist for readmission, adverse discharge, and LOS. However, the effects of increasing frailty and nonindependent functional status on these outcomes were the most pronounced among White non-Hispanic patients.

There is an increased incidence of complex patients undergoing total hip arthroplasty (THA), which demands a rigorous preoperative, intraoperative, and postoperative assessment. It is important how increases in patient complexity impact a variety of patient outcomes. Therefore, the purpose of our study is to determine if a higher Elixhauser Comorbidity Index (ECI), a measure of patient complexity, is correlated with: 1) longer hospital length of stay; 2) increased 90-day medical complications; 3) higher 90-day readmissions; and 4) greater two-year implant-related complications following primary THA.

Patients undergoing primary THA from January 1, 2004 to December 31, 2015 were queried from the Medicare Standard Analytical Files using the International Classification of Disease, ninth revision (ICD-9) procedure code 81.51. The queried patients (387,831) were filtered by ECI scores of 1 to 5. Patients who have ECI scores of 2 to 5 represented the study cohorts and were matched according to age and sex to patients who have the lowest ECI score (ECI of 1). All cohorts were longitudinally followed to assess and compare hospital length of stay, 90-day medical complications, 90-day readmissions, and two-year implant-related complications. We compared odds-ratios (OR), 95% confidence intervals (95% CI), and p-values using logistic regression analyses and Welch's t-tests.

Patients who have ECI scores greater than 1 had higher hospital length of stay (p<0.001), 90-day medical complications (p<0.001), 90-day readmissions (p<0.001), and two-year implant-related complications (p<0.001). Patients who have an ECI score of 2 (1.26, 95% CI: 1.20-1.32), ECI of 3 (1.61, 95% CI: 1.53-1.69), ECI of 4 (2.05, 95% CI: 1.95-2.14), and ECI of 5 (2.32, 95% CI: 2.21-2.43) had an increasing trend for readmissions, with higher ECI scores correlating with greater odds of readmission following primary THA. Two-year implant-related complications also showed a similar increasing trend with greater patient complexity. Patients who had an ECI score of 5 (2.54, 95% CI: 2.39-2.69) had more implant-related complications compared to patients who had an ECI score of 2 (1.39, 95% CI:1.31-1.48).

The results of this study illustrate that a higher Elixhauser-Comorbidity Index is an independent risk factor for longer hospital length of stay, higher 90-day medical complications, greater 90-day readmissions, and increased two-year implant-related complications following primary THA. This study is important as it further defines and heightens awareness of adverse events for complex patients undergoing this procedure. Future studies can examine if these events can potentially be mitigated through reductions in ECI scores prior to surgery and increased incentives for the healthcare team.

Reliable strategies for reducing postoperative readmissions remain elusive. As the emergency department (ED) is a frequent source of post-operative admissions, we investigated whether hospitals with high readmission rates also have high rates of post-discharge ED visits and high rates of readmission once an ED visit occurs.

We conducted a retrospective analysis of 1,947,621 Medicare beneficiaries undergoing 1 of 5 common procedures in 2,894 hospitals between 2008 and 2011. We stratified hospitals into quintiles based on risk-standardized, 30-day post-discharge readmission rates (RSRR) and then compared rates of post-discharge ED visits, proportion readmitted from the ED, and readmissions within 7 days of ED discharge across these quintiles.

RSRR varied widely across extremes of hospital quintiles (3.9% to 17.5%). Hospitals with either very low or very high RSRR had modest differences in rates of ED visits (12.4% versus 14.6%). In contrast, the proportion readmitted from the ED was nearly 3 times greater in Hospitals with very high RSRR compared with those with very low RSRR (12% versus 32.2%). These findings were consistent across all procedures. Importantly, hospitals with a low proportion readmitted from the ED did not exhibit an increased rate of readmission within 7 days of ED discharge.

Although hospitals experience similar rates of ED visits following major surgery, some EDs and their affiliated surgeons and health system may deliver care preventing readmissions without an increased short-term risk of readmission following ED discharge. Reducing 30-day readmissions requires greater attention to the coordination of care delivered in the ED.

Establishing clear risk factors for complications such as urinary tract infection (UTI) after arthroplasty procedures helps guide clinical practice and provides more information to both surgeons and patients. This study aims to assess selected preoperative patient characteristics as risk factors for postoperative UTI after primary total hip and knee arthroplasties (THA and TKA).

This was a retrospective analysis using current procedural terminology codes to investigate the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database for patients who underwent THA or TKA from 2010 to 2017. Patients were classified for UTI by NSQIP guidelines. Patient samples with all possible covariates were included for multivariate logistic regression analysis and assessed for independent associations.

In a cohort of 983 identified patients (983 of 119,096; 0.83%): ages 57+ years, preoperative red blood cell (RBC) transfusion, perioperative RBC transfusion, bleeding disorders, operative time 110+ minutes, preoperative steroid use, diabetes, pulmonary comorbidities, body mass index 30+ kg/m² were independent risk factors for postoperative UTI after THA. In a cohort of 1503 identified patients (1503 of 189,327; 0.8%): ages 60+ years, preoperative RBC transfusion, perioperative RBC transfusion, anemia, platelets less than 150k, preoperative steroid use, diabetes, and body mass index 30+ kg/m² were independent risk factors for postoperative UTI after TKA. Male sex was associated with a decreased risk of UTI in both THA and TKA.

This study provides novel evidence on risk factors associated with the development of UTI after THA or TKA. Clinicians should be aware of risk factors in the manifestation of postoperative UTI after primary THA or TKA procedures.

It is not clear if there is a risk of 30-day readmissions following total hip and knee arthroplasty in patients reporting high levels of pain at hospital discharge. We examined the relationship between post-surgical pain on the day of discharge and 30-day readmission in patients who received total knee and hip arthroplasty.

Retrospective cohort study was conducted of patients who received total knee (n = 155,284) or hip arthroplasty (n = 89,283) from 2011 to 2018 using electronic health records from the Optum database. Four categories of pain at discharge were created, from none to severe. Multivariate logistic regression models to predict 30-day all-cause readmission were adjusted for patient and clinical characteristics and built separately for knee and hip arthroplasty patients.

Mean ages for hip and knee patients were 64.4 (standard deviation 11.3) and 65.7 (standard deviation 9.7) years, respectively. The majority of patients were female (hip: 54.4%; knee: 61.5%). The unadjusted rate of 30-day readmission was 3.54% for hip replacement and 3.66% for knee replacement. In models adjusted for patient and clinical characteristics, for patients with total hip replacement, the odds of 30-day readmission for those with severe pain score at discharge vs those with no pain at discharge were 1.60 (95% confidence interval 1.33-1.92). Similarly, readmission likelihood increased as pain at discharge increased (severe pain vs no pain) for patients with total knee arthroplasty (odds ratio 1.38, 95% confidence interval 1.19-1.59).

Our findings demonstrated that the pain scores on the day of discharge are associated with 30-day hospital readmission.

Currently, the largest available series of hip disarticulation (HD) procedures performed for periprosthetic joint infection (PJI) includes only 6 patients. Given the lack of data on this dreadful outcome, we sought to determine the frequency of and risk factors for HD performed for a primary diagnosis of PJI.

The National Inpatient Sample from 1998 to 2016 was used to estimate the annual incidences of HD associated with PJI, elective primary total joint arthroplasty (control group 1), and other surgical procedures associated with PJI (control group 2) using National Inpatient Sample trend weights.

One-hundred forty-eight HDs for PJI, 2,378,313 primary total joint arthroplasty controls, and 51,580 PJI controls were identified. Median length-of-stay (11 days), proportion of patients with ≥5 comorbidities (22.8%), and median hospital costs ($25,895.60) were all greater for patients with HD compared with both control groups. The weighted frequency of HD hospitalizations increased by 366%, whereas the frequency of cases in control groups 1 and 2 increased by 93% and 310%, respectively, during the same timeframe. Upon multivariable logistic regression, age <65 years without private insurance (reference group: age ≥65 years without private insurance, odds ratio [OR]: 1.55; 95% confidence interval [CI]: 1.08-2.24), diabetes with chronic complications (OR: 1.91; 95% CI: 1.12-3.26), and peripheral vascular disease (OR: 2.59; 95% CI: 1.49-4.48) were significantly associated with increased risk of HD among all patients with PJI.

While the overall frequency of lower extremity amputations may be decreasing, our study documents an alarming increase in the frequency of HD for PJI during the study period. Patients under age 65 years without private insurance were at significantly higher risk of HD among patients with PJI.

The Centers for Medicare & Medicaid Services (CMS)'s Bundled Payments for Care Improvement (BPCI) program provides a set payment for the provision of primary total joint arthroplasty (TJA) care regardless of age and risk factors. Published literature indicates that the cost of care per episode of TJA increases with age. We examined the implication of this relationship and the effect of projected changes of age demographics on our center's BPCI experience.

A retrospective review of prospectively collected data on 1,662 Medicare BPCI patients undergoing primary total knee arthroplasty (TKA) and total hip arthroplasty (THA) from 2013 to 2016 at a single orthopaedic institution was performed. The relationship between age and cost of care was first determined in our analysis of our BPCI experience. We then performed a cost analysis by age group with respect to our institution's profit or loss per episode of care. A forecast for shifting age demographics in our region, modeled by the U.S. Census Bureau's Federal-State Cooperative for Population Estimates (FSCPE) and Projections (FSCPP), was used to evaluate the financial implications for our BPCI program.

Our institution sustains a significant loss of $1,934 (p < 0.001) per case for patients 85 to 99 years of age, which is offset by profits associated with treating patients in younger age groups. This age group (85 to 99 years of age) will double by the year 2040 in our region, whereas the youngest age group (65 to 69 years of age) is projected to marginally increase by 12%. The average cost of care per primary TJA will rise because of the predicted shifting age demographics, compounded by an estimated 3% inflation rate. Utilizing the current BPCI reimbursement rate, we project an inflection point of declining profits after the year 2030 with the given projections for our regional population.

The regional population served by our institution is aging. This shift will lead to an increased cost of care and diminishing profits for TJA after 2030. The CMS's BPCI initiative and novel alternative payment models (APMs) should consider age as a modifier for reimbursement to incentivize care for the vulnerable and older age groups.

The findings of the present study are clinically relevant for decision-making regarding the allocation of resources in the setting of an aging population.

Psychiatric comorbidity is known to impact upon use of nonpsychiatric health services. The aim of this systematic review and meta-analysis was to assess the specific impact of severe mental illness (SMI) on the use of inpatient, emergency, and primary care services for nonpsychiatric medical disorders.

PubMed, Web of Science, PsychINFO, EMBASE, and The Cochrane Library were searched for relevant studies up to October 2018. An updated search was carried out up to the end of February 2020. Studies were included if they assessed the impact of SMI on nonpsychiatric inpatient, emergency, and primary care service use in adults. Study designs eligible for review included observational cohort and case-control studies and randomised controlled trials. Random-effects meta-analyses of the effect of SMI on inpatient admissions, length of hospital stay, 30-day hospital readmission rates, and emergency department use were performed. This review protocol is registered in PROSPERO (CRD42019119516). Seventy-four studies were eligible for review. All were observational cohort or case-control studies carried out in high-income countries. Sample sizes ranged from 27 to 10,777,210. Study quality was assessed using the Newcastle-Ottawa Scale for observational studies. The majority of studies (n = 45) were deemed to be of good quality. Narrative analysis showed that SMI led to increases in use of inpatient, emergency, and primary care services. Meta-analyses revealed that patients with SMI were more likely to be admitted as nonpsychiatric inpatients (pooled odds ratio [OR] = 1.84, 95% confidence interval [CI] 1.21-2.80, p = 0.005, I2 = 100%), had hospital stays that were increased by 0.59 days (pooled standardised mean difference = 0.59 days, 95% CI 0.36-0.83, p < 0.001, I2 = 100%), were more likely to be readmitted to hospital within 30 days (pooled OR = 1.37, 95% CI 1.28-1.47, p < 0.001, I2 = 83%), and were more likely to attend the emergency department (pooled OR = 1.97, 95% CI 1.41-2.76, p < 0.001, I2 = 99%) compared to patients without SMI. Study limitations include considerable heterogeneity across studies, meaning that results of meta-analyses should be interpreted with caution, and the fact that it was not always possible to determine whether service use outcomes definitively excluded mental health treatment.

In this study, we found that SMI impacts significantly upon the use of nonpsychiatric health services. Illustrating and quantifying this helps to build a case for and guide the delivery of system-wide integration of mental and physical health services.

It is generally accepted that only selected patients are suitable for outpatient joint arthroplasty (OJA); however, no consensus exists on the optimal selection criteria. We believe patients undergoing OJA should undergo risk stratification and mitigation in an attempt to optimize quality and minimize costs.

Patient factors of 525 patients who were selected to have primary elective unicompartmental knee arthroplasty (N = 158), total knee arthroplasty (N = 277), or total hip arthroplasty (N = 90) in an outpatient setting were retrospectively reviewed. A complete case multivariable logistic regression analysis of 440 patients was conducted to identify factors that were independently associated with (un)successful same-day discharge (SDD).

One hundred ten patients (21%) were not able to be discharged on the day of surgery. Charnley class B2 was associated with a higher chance of successful SDD (odds ratio [OR], 0.29; 95% confidence interval [CI], 0.12-0.72), whereas female gender (OR, 1.7; 95% CI, 1.0-2.8), total knee arthroplasty (OR, 1.9; 95% CI, 1.1-3.4), and a higher American Society of Anesthesiologists (ASA) physical function score (ASA II: OR, 1.9; 95% CI, 1.1-3.3; ASA III: OR, 3.9; 95% CI, 1.1-13) were associated with a higher risk of unsuccessful SDD.

These results in a preselected population suggest the need for further specifying and improving selection criteria for patients undergoing OJA and emphasize the importance of an in-hospital backup plan for patients at risk of unsuccessful SDD. Previous contralateral joint arthroplasty is a protective factor for successful SDD.

Early findings of superior total knee arthroplasty (TKA) outcomes at high volume centers have been thought to have led to distinct referral patterns. However, the effect of these selective referral processes has not been well assessed. Therefore, this study compared the characteristics of primary TKA patients at high, intermediate, and low volume hospitals.

A total of 12,541 primary TKA patients were stratified into risk groups based on age (>65 years), body mass index (>40), and Charlson Comorbidity Index (≥4). Hospitals were classified as low, intermediate, or high volume based on mean annual TKA volumes (<250, 250-499, and >500). Multivariate logistic regression models evaluated the relationship between baseline patient characteristics and hospital volume.

There was a greater percentage of high risk patients at high volume (19%, n = 853) compared to those at intermediate (16%, n = 899) or low volume (17%, n = 444) hospitals (P < .001). Patients with a body mass index >40 were more likely to be treated at high compared to intermediate (odds ratio [OR] 1.4, 95% confidence interval [CI] 1.2-1.6, P < .001) and low volume centers (OR 1.4, 95% CI 1.2-1.7, P < .001). Patients with Charlson Comorbidity Index scores ≥4 were also more likely be treated at high compared to intermediate (OR 1.5, 95% CI 1.3-1.6, P < .001) or low (OR 1.2, 95% CI 1.0-1.4, P = .002) volume centers.

This study found that TKA patients at high volume centers have significantly different baseline characteristics compared to those at lower volume centers. This study highlights the importance of considering hospital volume status and the associated disparity in the preoperative risk of patients when comparing primary TKA outcomes between centers.

Although disparities in the use of healthcare services in the United States have been well-documented, information examining sociodemographic disparities in the use of healthcare services (for example, office-based and emergency department [ED] care) for nonemergent musculoskeletal conditions is limited.

This study was designed to answer two important questions: (1) Are there identifiable nationwide sociodemographic disparities in the use of either office-based orthopaedic care or ED care for common, nonemergent musculoskeletal conditions? (2) Is there a meaningful difference in expenditures associated with these same conditions when care is provided in the office rather than the ED?

This study analyzed data from the 2007 to 2015 Medical Expenditure Panel Survey (MEPS). The MEPS is a nationally representative database administered by the Agency for Healthcare Research and Quality that tracks patient interactions with the healthcare system and expenditures associated with each visit, making it an ideal data source for our study. Differences in the use of office-based and ED care were assessed across different socioeconomic and demographic groups. Healthcare expenditures associated with office-based and ED care were tabulated for each of the musculoskeletal conditions included in this study. The MEPS database defines expenditures as direct payments, including out-of-pocket payments and payments from insurances. In all, 63,514 participants were included in our study. Fifty-one percent (32,177 of 63,514) of patients were aged 35 to 64 years and 29% were older than 65 years (18,445 of 63,514). Women comprised 58% (37,031 of 63,514) of our population, while men comprised 42% (26,483 of 63,514). Our study was limited to the following eight categories of common, nonemergent musculoskeletal conditions: osteoarthritis (40%, 25,200 of 63,514), joint derangement (0.5%, 285 of 63,514), other joint conditions (43%, 27,499 of 63,514), muscle or ligament conditions (6%, 3726 of 63,514), bone or cartilage conditions (8%, 5035 of 63,514), foot conditions (1%, 585 of 63,514), fractures (7%, 4189 of 63,514), and sprains or strains (18%, 11,387 of 63,514). Multivariable logistic regression was used to ascertain which demographic, socioeconomic, and health-related factors were independently associated with differences in the use of office-based orthopaedic services and ED care for musculoskeletal conditions. Furthermore, expenditures over the course of our study period for each of our musculoskeletal categories were calculated per visit in both the outpatient and the ED settings, and adjusted for inflation.

After controlling for covariates like age, gender, region, insurance status, income, education level, and self-reported health status, we found substantially lower use of outpatient musculoskeletal care among patients who were Hispanic (odds ratio 0.79 [95% confidence interval 0.72 to 0.86]; p < 0.001), non-Hispanic black (OR 0.77 [95% CI 0.70 to 0.84]; p < 0.001), lesser-educated (OR 0.72 [95% CI 0.65 to 0.81]; p < 0.001), lower-income (OR 0.80 [95% CI 0.73 to 0.88]; p < 0.001), and nonprivately-insured (OR 0.85 [95% CI 0.79 to 0.91]; p < 0.001). Public insurance status (OR 1.30 [95% CI 1.17 to 1.44]; p < 0.001), lower income (OR 1.53 [95% CI 1.28 to 1.82]; p < 0.001), and lesser education status (OR 1.35 [95% CI 1.14 to 1.60]; p = 0.001) were also associated with greater use of musculoskeletal care in the ED. Healthcare expenditures associated with care for musculoskeletal conditions was substantially greater in the ED than in the office-based orthopaedic setting.

There are substantial sociodemographic disparities in the use of office-based orthopaedic care and ED care for common, nonemergent musculoskeletal conditions. Because of the lower expenditures associated with office-based orthopaedic care, orthopaedic surgeons should make a concerted effort to improve access to outpatient care for these populations. This may be achieved through collaboration with policymakers, greater initiatives to provide care specific to minority populations, and targeted efforts to improve healthcare literacy.

Level III, therapeutic study.

Several reports have shown that enhanced recovery or fast-track (FT) regime introduction in patients undergoing total knee replacement (TKR) and total hip replacement (THR) results in significant reduction in length of stay (LOS) with no associated increase of complications or readmission rate. Despite that, FT programs for arthroplasty have has not been uniformly recognized or accepted by many orthopaedic surgeons and there is still no consensus on the best implementation process. The aim of this study was to report the results of a stepwise implementation of a FT regime in TKR and THR patients in a general orthopaedic department.

This was a retrospective study of prospectively collected data (from 2014 to 2017) concerning all consecutive unselected patients who underwent TKR or THR on Monday morning. At stage 1 the rehabilitation and physiotherapy component was changed, at stage 2 and 3 a patient's blood management program and a pain management program were prospectively recorded (i.e. respectively Patients' demographics, ASA classification, Charlson index, LOS, blood loss, transfusion rate, complications and 30 - day readmissions).

Four hundred and thirty four patients underwent either TKR (n: 302) or THR (n:132) and were included in this study. A gradual reduction of mean LOS was found in THR patients from 5.7 days to 3.0 days and in TKR patients from 5.6 days to 3.4 days. Furthermore, no significant difference was found in complications or regarding the 30-day readmission rate at the different stages of implementation of the different FT components (i.e. at the final stage 96.7% of THR and 86.7% of TKR patients were discharged to home by the fourth post-operative day).

The stepwise implementation of a FT program in an unelected population of THR and TKR patients was effective and safe, reducing the post-surgical recovery time and patients' LOS with no major complications and no increase of 30-day re-admissions.

The aim of the study was to investigate the causes and rates of readmissions within 90 days after primary and revision knee and hip arthroplasties.

A total of 1,516 patients (290 males, 1,226 females; mean age 64.7±10.5 years; range, 21 to 91 years) who underwent primary total hip arthroplasty (THA), primary total knee arthroplasty (TKA), revision THA, and revision TKA between January 2013 and December 2014 were retrospectively analyzed. All readmissions within 90 days as of discharge dates of patients were analyzed and were categorized as planned readmissions related to the index admission, unplanned readmissions related to the index admission, planned readmissions unrelated to the index admission and unplanned readmissions unrelated to the index admission.

Readmission rate in the overall of study group was found to be 5.61%. This rate varied depending on the procedure applied, ranging between 2.35 and 6.74%. Unplanned readmissions related to the index admission within 90 days consisted of 60.0% of total readmissions. A total of 82.0% of readmissions within 90 days was due to surgical reasons. Planned readmissions unrelated to the index admission within 90 days were also frequently seen (31.76%). Totally 48.23% of total readmissions within 90 days occurred within the first 30 days. A total of 48.23% of the total readmissions and 58.82% of the readmissions which were unplanned and related to the index admission occurred within the first 30 days.

After knee and hip arthroplasties, readmissions occur due to various reasons. Therefore, it is of utmost importance to identify the readmission type in the evaluation of readmissions which may increase the effectiveness of precautions to be taken.

Length of stay (LOS) following total joint arthroplasty (TJA) continues to decrease. The effects of this trend on readmission risk and total cost are unclear. We hypothesize that optimal LOS following TJA minimizes index hospitalization, early readmission risk, and total cost.

Retrospective data from the South Carolina Department of Revenue and Fiscal Affairs was reviewed for patients who underwent primary TJA in South Carolina from 2000 to 2015 (n = 172,760). Data for readmissions within 90 days were included. Severity of illness was estimated by Elixhauser score (EH). Index LOS is defined as the surgery and the subsequent hospital stay.

Patients with more significant medical comorbidities (EH ≥ 4) had significantly longer LOS than healthier patients (4.0 vs 3.4 days, P < .001). Independent of EH, readmitted patients had a significantly longer index LOS than those never readmitted (4.3 vs 3.6 days, P < .001). For healthier patients (EH ≤ 3), each additional inpatient day increased readmission risk, while among sicker patients, staying 2 days vs 1 day was protective against readmission risk. Since 2000, the total index cost of TJA has doubled and average cost per inpatient day has tripled, but readmission rates remain essentially unchanged (7.4% to 7.0%).

Increased LOS was associated with increased readmission risk. Patients with greater medical comorbidities stay longer to protect against readmission. Optimal LOS after TJA is highly influenced by the patient's overall health. Despite a 300% increase in TJA daily cost, readmission rate has changed minimally over the last 15 years.

In patients with independent mobility, full hip range of motion and sufficient muscle strength for daily life without cognitive impairment, treatment of a femoral neck fracture with total hip arthroplasty (THA) may be a better option compared to bipolar hip hemiarthroplasty. Here, functional outcomes and complications in patients who underwent THA for femoral neck fracture based on their comorbidity status were analyzed.

Between January 2013 and December 2018, 110 patients were treated with THA for femoral neck fractures at our institution. These patients were retrospectively analyzed for clinical outcomes at final follow-up (mean=24.4 months, range: 6-81 months) using the Harris hip score (HHS) and the presence or absence of two potential comorbidities: i) diabetes mellitus (DM; 35 with and 75 without) and ii) hypertension (HTN; 50 with and 60 without).

The incidence of superficial infections at the surgical site in patients with DM was significantly higher compared with patients without DM (P=0.024). There were no significant differences in other potential complications based on DM status. HHS at final follow-up between patients with and without DM and with and without HTN were not significantly different (83.3 vs. 81.0, P=0.39 and 81.6 vs. 82.4, P=0.75, respectively).

Superficial infections occurred more frequently in patients with DM compared with patients without DM. DM and HTN status are not correlated with HHS.

Selective serotonin reuptake inhibitors (SSRIs) have been shown in both orthopedic and general surgery literature to be associated with an increased risk of blood loss, and this is thought to occur via diminished platelet serotonin reuptake and subsequent decline in platelet aggregation potential. In this study, we aim at quantifying the effect of treatment with SSRIs on blood loss and transfusion rates following total hip (THA) or total knee arthroplasty (TKA).

THA (4485) and TKA (5584) cases from January 2013 to December 2017 at the investigating institution were queried and analyzed separately from an institutional database. Patients were stratified by utilization of an SSRI at the time of surgery. Patient demographics, baseline coagulopathy, preoperative and postoperative hemoglobin, transfusion, and length of stay were obtained to compare the 2 cohorts.

The transfusion rate for SSRI users was 3.9% in the TKA group and 8.5% in the THA group. After controlling for age, gender, body mass index, presence of coagulopathy, procedure (THA vs TKA), and SSRI status, SSRI utilization was significantly associated with increased blood loss (P < .004), and logistic regression controlling for the same variables showed SSRI utilization to be predictive of transfusion (odds ratio, 1.476; P < .001).

SSRI utilization was associated with increased perioperative blood loss and predictive of transfusion risk, particularly with THA. This represents an important factor that may be modified in the setting of total joint arthroplasty but further work will be necessary to study potential alternative medications for depression in the perioperative phase.

Racial and ethnic disparities in hospital readmissions following total joint arthroplasty present opportunities for reducing cost and improving health equity. Despite efforts to reduce readmissions following total joint arthroplasty in the general population, no studies have documented the impact of these efforts on racial and ethnic disparities in total joint arthroplasty readmissions. The purpose of this study was to determine whether comprehensive efforts to reduce hospital readmissions following total joint arthroplasty have impacted racial and ethnic disparities in readmission rates during the period from 2005 to 2015.

We conducted a retrospective analysis comparing patients readmitted and not readmitted to the hospital within 30 days of a total joint arthroplasty by estimating logistic regression models for clustered data using generalized estimating equations (GEEs) in R. Connecticut hospital discharge data for patients admitted for International Classification of Diseases, Ninth Revision (ICD-9) procedure codes 81.51 and 81.54 (Current Procedural Terminology [CPT] codes 27130 and 27447) during the 2005 to 2015 U.S. Centers for Medicare & Medicaid Services (CMS) fiscal years were analyzed. Models included quadratic terms to capture nonlinear time trends in readmissions, as well as terms for the statistical interaction between race or ethnicity and both the linear and quadratic time trends in predicting the odds of readmission.

There were 102,510 total admissions to Connecticut hospitals for total joint arthroplasty from 2005 to 2015. The 30-day (all-cause) readmission rate declined from 5.1% in 2005 to 3.6% in 2015, with a steeper downward trend observed from 2009 to 2015. The results from logistic models indicated that black patients (odds ratio [OR], 1.68; p < 0.0001) and Hispanic patients (OR, 1.48; p < 0.0001) were significantly more likely to be readmitted within 30 days of discharge following a total joint arthroplasty than white patients over the study period. The significant interaction of black race and the quadratic time trend in models capturing nonlinear trends in readmission over time indicated that the readmission rates for black patients increased compared with those for white patients from 2005 through 2008 and decreased relative to those for white patients from 2009 to 2015 (OR, 0.24; p = 0.030).

Data from Connecticut hospitals show that 30-day readmissions following a total joint arthroplasty declined by 1.5 percentage points from 2005 to 2015, and that this decline was much more pronounced among black patients, resulting in the narrowing of racial disparities in readmission following a surgical procedure.

Racial and ethnic minorities have historically been at increased risk for complications and readmission following hospital-based surgical care. This analysis of readmission following total joint arthroplasty reveals that such disparities are remediable and should foster further research on the primary drivers of and remedies for readmission disparities.

Obesity is associated with wound complications after lower extremity surgery. Excision of soft-tissue sarcomas is urgent, and unlike the elective surgery, obesity cannot be modified preoperatively. The purpose of this study was to evaluate the effect of obesity on treatment outcome.

Six hundred fifty-three patients (343 men; mean age, 56 ± 18 years) with a lower extremity soft-tissue sarcoma were reviewed. The mean body mass index (BMI) was 27.1 ± 5.7 kg/m, with 189 obese patients (29%) having a BMI of ≥30 kg/m and 27 morbidly obese patients (4%) having a BMI of ≥40 kg/m. Complications and functional and oncologic outcomes were compared between groups.

Two hundred eighty-five patients (40%) sustained a postoperative complication, most commonly a dehiscence (n = 175; 24%) and infection (n = 147; 21%). On multivariate analysis, morbid obesity was associated with wound complications (P = 0.002) and infection (P = 0.01). Morbid obesity was not associated with local tumor recurrence (P = 0.56). No difference was found in the mean Toronto Extremity Salvage Score (P = 0.11) or Musculoskeletal Tumor Society (P = 0.41) scores between the groups.

Morbid obesity was associated with postoperative wound complications and infection. However, after surgery, obese patients can expect no difference in oncologic outcome, with an excellent functional result.