With the global population aging, the care of elderly cancer patients has become increasingly complex and significant. Comprehensive geriatric assessment (CGA), a multidimensional evaluation tool, has been widely implemented in oncology nursing to enhance the precision of treatment decisions and improve patient outcomes. This review examines the application of CGA in oncology nursing, drawing on literature published between 2010 and 2024 in major databases using keywords such as "Comprehensive Geriatric Assessment" and "Oncology Nursing". It highlights how CGA contributes to optimizing treatment selection, monitoring the treatment process, and improving patients' quality of life and long-term outcomes. CGA provides a comprehensive evaluation of elderly cancer patients, including physical, psychological, and social aspects, enabling the identification of high-risk patients and reducing treatment-related side effects and complications. It also offers a critical foundation for developing personalized care plans. The article discusses various practical examples of CGA implementation across different countries and regions, including multidisciplinary collaborative models in France, the United States, and Australia, demonstrating CGA's flexible application in diverse healthcare settings. Although significant progress has been made in applying CGA in oncology nursing, numerous challenges remain in its implementation, such as resource limitations and insufficient personnel training. Future research will focus on integrating CGA with emerging technologies, such as artificial intelligence and precision medicine, to further improve the quality of care and treatment outcomes for elderly cancer patients. By summarizing the current status and challenges of CGA in oncology nursing, this review provides guidance for future research and clinical practice, emphasizing the importance of advancing CGA application to meet the growing demands of elderly oncology care.

Older adults represent a majority of gastrointestinal (GI) cancer cases. Social determinants of health, such as neighborhood-level social vulnerability index (SVI), are associated with frailty, a predictor of mortality. The association between social vulnerability and survival is understudied.

We evaluated 876 adults ≥60y with GI cancer enrolled in the Cancer & Aging Resilience Evaluation (CARE) Registry prior to chemotherapy. Exposure was the Center for Disease Control and Prevention's SVI in tertiles. SVI ranks census tracts between 0th and 100th percentile for lowest and highest vulnerability, respectively. Outcome was survival (enrollment to end of follow-up). Associations between SVI and survival were estimated using Cox proportional hazards models.

Median age of patients was 69y, 58 % were male, 22 % were non-Hispanic Black, 30 % had colorectal, 29 % had pancreatic cancer, and 70 % had stage III/IV disease. About 44 % of participants died in median 17 months follow-up. Frailty status differed by SVI tertile (tertile 1: 26.8 %; tertile 2: 34.3 %; tertile 3: 43.4 %, p-value: <0.001). Adjusting for age, sex, and cancer type/stage, those living in neighborhoods in the highest SVI tertile had 6 % higher hazard of death (95 % confidence interval [CI]: 0.8, 1.4) and in the second-highest tertile had 8 % higher hazard of death (95 % CI: 0.9, 1.4) compared to those in the lowest tertile. This association may be driven by the SVI housing characteristics theme [tertile 2: hazard ratio (HR) 1.40 (95 % CI: 1.09, 1.79); tertile 3: HR 1.20 (95 % CI: 0.93, 1.55)].

We did not find a statistically significant association between SVI and survival among older adults with GI cancers. Prior evidence of associations between SVI and overall area-level mortality may not reflect individual-level mortality specific to older adults. Prior evidence of associations between SVI and individual-level frailty among older adults with GI cancers suggests SVI may confer greater risk on development of frailty, which could indirectly impact survival. SVI of at-risk areas may need consideration when designing solutions to improve frailty among older adults with GI cancers, which could have a subsequent positive impact on mortality.

Acute myeloid leukaemia (AML) is a disease of the older person. Due to the demands of intensive chemotherapy, there is a significant risk of over or undertreatment, leading to either iatrogenic harm or missed windows of opportunity for remission or cure. Better tools to aid clinical decision making and risk stratify patients are needed. We aimed to investigate the association between frailty and the treatment and disease-related outcomes of adults receiving systemic therapy for AML.

A systematic search of PubMed, EMBASE, CINAHL, and Web of Science databases was undertaken for studies assessing frailty (defined as multi-dimensional assessment evaluating two or more geriatric relevant domains or usage of a validated geriatric assessment screening tool) in the setting of adults undergoing systemic therapy for AML.

We identified 6,644 publications, 16 of which met inclusion criteria for extraction. The most commonly described outcomes were overall survival (OS) (n = 12), mortality (n = 8), response rate (n = 6), and high grade toxicity (n = 5). Eleven studies correlated frailty with treatment outcomes: frailty was predictive of lower OS (n = 5), higher mortality (n = 3), and more high grade toxicity (n = 1). OS in particular retained this relationship when controlling for variables such as molecular markers and performance status. Significant heterogeneity in outcome reporting and frailty assessment precluded meta-analysis. Included studies were generally of moderate quality.

Frailty was predictive of poorer outcomes in patients with AML distinct from and complimentary to traditional disease prognostic schema. Routine implementation of frailty assessment could represent an important tool to risk stratify patients and improve clinical decision making.

Treatment of pancreatic cancer often entails multiple modalities (e.g., chemotherapy, surgery, radiation) that vary in intensity, timing, and toxicity profiles. Some treatment options are only recommended for medically 'fit' patients regardless of age, yet formal fitness measures (such as the geriatric assessment [GA]) and patient preferences are seldom utilized during treatment decision-making.

The INtegrating Systematic PatIent-Reported Evaluations into Multi-Disciplinary Tumor Board (INSPIRE-MDTB) intervention involves the presentation of GA and treatment preferences data during tumor board discussions of older patients with stage I-IV pancreatic adenocarcinoma. This qualitative study recorded, transcribed, and inductively analyzed historical (November 2021-February 2022) and intervention (September 2022-June 2023) MDTBs using NVivo software. A constant comparative method was used to establish a grounded scheme representative of clinicians' characterization of patients' fitness and preferences during decision-making.

Recordings of the primary MDTB presentation of 31 historical and 49 intervention patients with similar sex (52 %; 53 % female), age (m = 68.1; 72.3), race (65 %; 59 % White), and cancer stage (26 %; 22 % stage IV) were included. Although GA was captured for all included patients, it was not discussed in any historical cases, but was in 94 % of intervention cases. When compared to historical controls, INSPIRE patients had more frequent discussions of (1) cancer-related factors (e.g., size, location, rate of progression; 35 % vs. 43 %), (2) individual risk factors (e.g., age, comorbidities, tolerance; 90 % vs 98 %), and (3) psychosocial factors (e.g., health literacy, social support, substance use; 19 % vs 33 %). Identified preference domains were discussed in 39 % of historical and 80 % of intervention patients, with notably higher rates of discussion of patients' concerns regarding physical (0 %; 35 %) and mental/emotional (0 %; 20 %) side effects, ability to work (0 %; 10 %), and the logistics and convenience of treatment (6 %; 14 %).

The INSPIRE intervention enhanced MDTB discussion of patient fitness and preferences and represents a promising approach for fostering consistent and systematic presentation and discussion of patient-reported data, such as the GA and treatment preferences. This adds to our previous findings that INSPIRE was feasible, acceptable, appropriate, and time-effective according to patients and provider participants.

Frailty assessed at a single time point is associated with mortality in older women with breast cancer. Little is known about how changes in frailty following cancer treatment initiation affect mortality.

To evaluate the association between claims-based frailty trajectories following adjuvant chemotherapy initiation and 5-year mortality in older women with stage I to III breast cancer.

This longitudinal cohort study used the Surveillance, Epidemiology, and End Results cancer registries linked to Medicare claims data (claims from 2003-2019). Women aged 65 years or older with stage I to III breast cancer diagnosed from 2004 to 2017 were included. Eligible women underwent breast surgery followed by adjuvant chemotherapy as initial treatment. A landmark design was used to identify frailty trajectories during the year following chemotherapy initiation. Continuous enrollment in Medicare fee-for-service from 180 days before cancer diagnosis through 360 days following chemotherapy initiation (landmark) was required. Women who died or disenrolled before the landmark were excluded. Analyses were conducted between September 2022 and March 2024.

Claims-based frailty trajectories during the 360 days following chemotherapy initiation were identified using the Faurot frailty index, a validated claims-based proxy for frailty based on demographics and diagnosis, procedure, and durable medical equipment claims. The Faurot frailty index was calculated every 30 days from chemotherapy initiation through the landmark (360 days after chemotherapy initiation). Claims-based frailty trajectory clusters were identified using longitudinal K-means clustering.

Associations between the claims-based frailty trajectory clusters and 5-year mortality from the landmark were estimated using Kaplan-Meier analysis.

In total, 20 292 women with breast cancer (median [IQR] age, 70 [67-74] years) were identified. The K-means analysis resulted in 6 trajectory clusters: 3 robust (16 120 women [79.4%]) or resilient (3259 [16.1%]) trajectories and 3 nonresilient trajectories (913 women [4.5%]). Five-year mortality was higher in women belonging to the 3 nonresilient trajectories compared with those belonging to the 3 resilient trajectories (52.1% vs 20.3%; difference, 31.8%; 95% CI, 29.0%-36.2%).

In this cohort study of women with stage I to III breast cancer, frailty changes following chemotherapy initiation were associated with long-term survival. Future research should assess the association of frailty interventions following cancer treatment initiation with survival and patient-centered outcomes in this population.

Women with breast cancer are known to suffer from disease and treatment, and the generic measurement tools may underestimate their frailty. A specific instrument comprehensively measuring frailty among women with breast cancer has not yet been developed. This study aims to develop and validate the tool of breast cancer comprehensive frailty scale (BCCFS).

A descriptive and explorative study design was used. We collected the data through systematic literature and modified Delphi method. After an initial search and screening process, a total of 33 articles were included for review and consideration in the item design. Ten experts were invited to generate and validate initial items. The validity was assessed using a sample of 205 women with breast cancer in Taiwan. Its validity was then tested using item analysis, exploratory factor analysis, confirmatory factor analysis, criterion-related validity and areas under the receiver-operating characteristic, while its reliability was evaluated through internal consistencies and test-retest analyses.

A three-factor solution with 16 items was chosen and accounted for approximately 58.57% of the total variance by exploratory factor analysis (KMO = 0.85; Bartlett's Test of Sphericity: χ2 = 2881.34, p < 0.001). The factors were interpreted as (1) deterioration of body and mobility, (2) negative emotions, and (3) cognitive impairment. The goodness of fit indices of the confirmatory factor analysis were as follows: chi-square = 234.498 (p < 0.01), normed chi-square = 2.322, SRMR = 0.055, RMSEA = 0.08, CFI = 0.930, and LI = 0.917. The Cronbach's alpha calculated for the BCCFS (16 items) was 0.91 (95% confidence interval: 0.89 to 0.93), and the test-retest reliability coefficient was 0.60. Using the G8 screening tool as a standard indicator of frailty, analysis of receiver operating characteristic curve showed that 31.5 was the best cut point (area under curve = 0. 816, 95% confidence interval: 0.757 to 0.874) with a sensitivity of 63.5% and specificity of 84.4%.

The instrument exhibited acceptable psychometric properties, proving it to be a valuable tool for evaluating frailty in women with breast cancer. Further assessments of its reliability, validity, and generality from health providers' views in different contexts and cultures are recommended.

There is limited evidence concerning the predictive value of health-related quality of life (HRQoL) on the presence of frailty in the context of cirrhosis. We aimed to elucidate the relationship between HRQoL and multidimensional frailty and to determine which HRQoL dimension independently impacted frail phenotype in our established cohort.

This was a prospective observational study by consecutively enrolling 355 patients with cirrhotic with decompensated signs in China. The HRQoL and frail phenotype were evaluated by the EuroQol-5D (EQ-5D) Questionnaire and Frailty Index, respectively. The relationship between EQ-5D utility index, as well as respective EQ-5D dimension, and Frailty Index was analysed according to the multiple linear regression analyses.

More than half of the patients (56.3%) reported problems in any dimension of the EQ-5D, suggestive of impaired HRQoL. Moreover, the proportion of patients experiencing some/extreme problems significantly increased across all five dimensions (all p<0.001) in correspondence to transition from the robust to frail phenotype. Multiple linear regression analyses demonstrated that age, ascites and hepatic encephalopathy were positively associated with Frailty Index, while EQ-5D utility index (standardised β coefficient= -0.442, p<0.001) negatively associated with Frailty Index. Notably, usual activities, self-care and mobility were the most influencing predictors associated with frailty.

Our results support a rapid HRQoL assessment via EQ-5D may assist in predicting multidimensional frailty, and usual activities, self-care and mobility tend to be remediable targets while taking their effect on frail phenotype into consideration among patients with cirrhosis.

The present study aimed to investigate the association between physical activity before the incidence of cardiovascular disease (CVD) and clinical outcomes in cancer survivors.

We analyzed 904 cancer survivors (median age [interquartile range] 75 [68-80] years; 297 [32.9%] patients were female) who required hospitalization for treatment of CVD. The amount of physical activity 1 month before the admission was assessed using the 3-question (3Q) assessment tool, and categorized as minimal, low, adequate, and high according to physical activity level. The primary outcome was the composite events of all-cause death and/or rehospitalization for CVD up to 1 year after discharge. The total amount of physical activity was identified in 544 (60.2%) patients in the minimal group, 95 (10.5%) in the low group, 253 (28.0%) in the adequate group, and 12 (1.3%) in the high group. A total of 686 (75.9%) patients completed follow up, with 252 (27.9%) composite events occurring. Even after adjustment for various confounders, higher physical activity was significantly associated with a lower composite event rate (adjusted hazard ratio [95% confidence interval] 0.859 [0.833-0.900]).

High physical activity in cancer survivors was associated with a lower composite event rate after treatment for CVD. Assessment of prehospital physical activity using the 3Q score may be useful in their risk stratification.

Frailty and myosteatosis are each prognostic of all-cause mortality (ACM) in patients with cancer. However, it is unclear whether myosteatosis adds value to frailty for predicting ACM. We assessed whether myosteatosis improves the predictive ability of frailty for ACM in older adults undergoing chemotherapy. This was a retrospective study of older adults (≥65 years) initiating chemotherapy between June 2015 and June 2022. Frailty was assessed using a 24-item frailty index (FI). Myosteatosis was evaluated via computed tomography scans at the third lumbar vertebra (L3).. Multivariable Cox regression and Uno's c-statistic determined the predictive performance of the FI and myosteatosis. In total, 115 participants (mean age: 77.1 years) were included. Frailty alone (adjusted hazards ratio (aHR) = 1.68, 95% confidence intervals (CIs) = 1.03-2.72, p = 0.037) and myosteatosis alone (aHR = 2.14, 95%CI = 1.07-4.30, p = 0.032) exhibited similar performance (c-statistic = 0.66) in predicting ACM in multivariable analyses adjusted for age, sex, body mass index, and treatment intent. However, the highest predictive performance for ACM was observed after inclusion of both myosteatosis and frailty in the multivariable model (c-statistic = 0.70). Myosteatosis improves the performance of frailty for predicting ACM in older adults with cancer. Prospective studies to assess the effect of exercise on myosteatosis in older patients are warranted.

Older adults with lung cancer experience inferior clinical outcomes compared to their younger counterparts. This review provides the scaffolding to address these disparities by delineating (1) the distinct and varied care needs of older adults with lung malignancies, (2) evidence-based measures for identifying subgroups within this population meriting tailored approaches to care, (3) age-specific considerations for the selection of cancer-directed therapy, and (4) opportunities for future work to enhance clinical outcomes and care delivery.

Several frailty assessment tools exist for classifying older adults with multiple myeloma (MM) by their frailty status, such as the International Myeloma Working Group (IMWG) frailty score and the simplified frailty scale. The level of agreement between the IMWG frailty score and the simplified frailty scale remains unknown.

In a cross-sectional analysis of a prospective cohort study, we identified adults ≥50y initiating a new treatment regimen for MM who underwent a baseline geriatric assessment (GA). Using data from the GA and electronic health records, we measured IMWG frailty score and the simplified frailty scale, and classified patients by frailty status. We merged the fit and intermediate-fit categories of IMWG frailty score to create a binary category (frail, non-frail) for comparison with simplified frailty scale and measured their agreement using Cohen's Kappa statistic. We tested the diagnostic utility of simplified frailty scale as a screening tool using IMWG frailty score as the gold standard, using sensitivity, specificity, and decision curve analysis (DCA).

Three hundred older adults were included with a median age at diagnosis of 64y; 56 % were male and 63 % were non-Hispanic White. By IMWG frailty score, 41 % were fit, 38 % intermediate-fit, and 21 % frail, while simplified frailty scale indicated 22 % frail and 78 % non-frail patients. The agreement between IMWG frailty score and simplified frailty scale was moderate (κ = 0.43); 19 % of the patients were misclassified. Despite discordance, when testing simplified frailty scale as a screening tool, we found a sensitivity of 56 % and specificity of 87 % to diagnose frailty. Substituting patient-reported performance status (PS) instead of physician reported ECOG PS led to a sensitivity of 91 % and specificity of 61 %. DCA showed that using simplified frailty scale (with patient reported PS) as a screening tool led to a 43-44 % reduction in the number of unnecessary GAs across reasonable threshold probabilities.

IMWG frailty score and simplified frailty scale have limited agreement with each other. This creates a possibility of misclassification bias and poses difficulty in comparing existing literature on frail patients with MM. Despite discordance, simplified frailty scale may have a potential role as a screening tool, when using patient-reported PS.

To clarify the effect of the period between initiation of oral intake (IOI) and establishment of oral intake (EOI) on length of hospital stay.

This retrospective study included postoperative oral cancer patients. The number of days from surgery to IOI and EOI and between IOI and EOI were recorded. We performed intergroup comparisons and Cox regression analysis using the number of days until discharge, representing hospital stay length as the dependent variable.

The median number of days between IOI and EOI was 3 days for eligible patients and 4.5 and 1.5 for older and younger patients, respectively. The median number of days from surgery to IOI was 15 days. There was a significant correlation between the period between IOI and EOI and the length of hospital stay (r = 0.40, p < 0.01). The period between IOI and EOI was a significant independent variable for the length of hospital stay (HR [95% confidence interval] = 0.45 [0.28-0.72]).

Shortening the IOI to EOI intervals was identified as an independently associated factor for shortening hospital stay, even in older postoperative patients with dysphagia who struggled with early oral intake initiation. Professional, step-by-step dysphagia rehabilitation tailored to the patient's condition yields beneficial outcomes.

We sought to develop and validate a machine learning (ML) model for predicting multidimensional frailty based on clinical and laboratory data. Moreover, an explainable ML model utilizing SHapley Additive exPlanations (SHAP) was constructed. This study enrolled 622 patients hospitalized due to decompensating episodes at a tertiary hospital. The cohort data were randomly divided into training and test sets. External validation was carried out using 131 patients from other tertiary hospitals. The frail phenotype was defined according to a self-reported questionnaire (Frailty Index). The area under the receiver operating characteristics curve was adopted to compare the performance of five ML models. The importance of the features and interpretation of the ML models were determined using the SHAP method. The proportions of cirrhotic patients with nonfrail and frail phenotypes in combined training and test sets were 87.8% and 12.2%, respectively, while they were 88.5% and 11.5% in the external validation dataset. Five ML algorithms were used, and the random forest (RF) model exhibited substantially predictive performance. Regarding the external validation, the RF algorithm outperformed other ML models. Moreover, the SHAP method demonstrated that neutrophil-to-lymphocyte ratio, age, lymphocyte-to-monocyte ratio, ascites, and albumin served as the most important predictors for frailty. At the patient level, the SHAP force plot and decision plot exhibited a clinically meaningful explanation of the RF algorithm. We constructed an ML model (RF) providing accurate prediction of frail phenotype in decompensated cirrhosis. The explainability and generalizability may foster clinicians to understand contributors to this physiologically vulnerable situation and tailor interventions.

Older adults undergoing cancer treatment often experience more treatment-related toxicities and increased risk of mortality compared to younger patients. The role of frailty among older individuals as a predictor of outcomes has gained growing significance. We evaluated the association between frailty and overall survival (OS) in patients with hepatocellular carcinoma (HCC) ≥60 years.

Older adults ≥60 years with HCC enrolled in a prospective single-institution registry underwent a patient-reported geriatric assessment (GA) covering multiple health domains related to prior to their initial medical oncology appointment. Frailty was measured using a 44-item deficit accumulation frailty index. We categorized patients as robust, pre-frail, and frail using standard cutpoints. The primary outcome was overall survival (OS). Univariable and multivariable models were built to evaluate the association between frailty and OS after adjusting for potential confounders.

Total of 116 older adults with HCC with a median age of 67 years were enrolled; 82% male, 27% Black, and 78% with stage III/IV disease. Overall, 19 (16.3%) were robust, 39 (33.6%) pre-frail, and 58 (50.1%) frail. There were 76 patients receiving liver directed therapy. Of these, 13 (17%) were robust, 26 (34%) were pre-frail, and 37 (49%) were frail. Over a median follow up of 0.9 years, 53 patients died. After adjusting for age, stage, etiology, and Child-Pugh class, being frail (vs. robust) was associated with worse OS (hazard ratio (HR) 2.6 [95% CI 1.03-6.56]; p = 0.04).

Half of the participants in this study were frail, which was independently associated with worse survival in adults ≥60 years of age with HCC. Identification of pre-treatment frailty may allow opportunities to guide treatment decisions and prognostication.

This study aimed to assess the effectiveness of Comprehensive Geriatric Assessment (CGA) in customizing care for elderly cancer patients, specifically focusing on colorectal cancer. The research compared treatment strategies and outcomes in older adults considered for surgery before and after the initiation of a Geriatric Oncology Service (GOS).

Conducting a comparative study, two cohorts of consecutive colorectal cancer patients aged 75 or older were examined: the control group (n = 156) and the GOS group (n = 158). Upon the treating surgeon's GOS consultation request, a geriatrician and an oncologist performed CGA, guiding treatment decisions and perioperative interventions. Postoperative complications were compared using propensity score matching (PSM).

In the GOS group, 91% (n = 116) underwent CGA consultations, influencing decisions to forego surgery in 12 patients. After PSM for surgical cases (controls n = 146, GOS n = 146), each group comprised 128 patients. Perioperative physical therapy and pharmacist referrals were more frequent in the GOS group. The GOS group exhibited a significantly lower incidence of postoperative complications (22%) compared to the control group (33%) (p = 0.0496).

Patients undergoing colorectal surgery post-GOS implementation experienced a notable reduction in postoperative complications, highlighting the positive impact of personalized geriatric assessment on surgical outcomes in the elderly.

Skeletal muscle density (SMD) measurements from imaging scans identify myosteatosis and could screen patients for geriatric assessment. We assessed SMD performance as a screening tool to identify older adults with cancer likely to be frail and who could benefit from in-depth assessment; we compared performance by sex and diabetes status.

We analyzed patients in the Cancer & Aging Resilience Evaluation (CARE) Registry. Frailty and diabetes were captured using a patient-reported geriatric assessment (CARE tool). Frailty was defined using CARE frailty index (CARE-FI) based on principles of deficit accumulation. SMD was calculated from computed tomography scans (L3 vertebrae). Analyses were conducted by sex and diabetes status. Scatterplots and linear regression described crude associations between SMD and frailty score. Classification performance (frail vs. non-frail) was analyzed with (1) area under the receiver operating characteristic curves (AUC) and confidence intervals (CIs); and (2) sensitivity/specificity for sex-specific SMD quartile cut-offs (Q1, median, Q3). Performance was compared between patients with and without diabetes using differences and estimated CIs (2000 bootstrap replicates). We additionally calculated positive and negative likelihood ratios (LR+, LR-).

The analytic cohort included 872 patients (39% female, median age 68 years, 27% with diabetes) with predominately stage III/IV gastrointestinal cancer; >60% planning to initiate first-line chemotherapy. SMD was negatively associated with frailty score; models were best fit in male patients with diabetes. AUC estimates for female (range: 0.58-0.62) and male (0.58-0.68) patients were low. Q3 cut-offs had high sensitivity (range: 0.76-0.89), but poor specificity (0.25-0.34). Diabetes did not impact estimates for female patients. Male patients with diabetes had greater sensitivity estimates compared to those without (sensitivity differences: 0.23 [0.07, 0.38], 0.08 [-0.07, 0.24], and 0.11 [0.00, 0.22] for Q1, median, Q3, respectively). LR estimates were most notable for male patients with diabetes (LR+ = 2.92, Q1 cut-off; LR- = 0.46, Q3 cut-off).

Using SMD alone to screen older patients for geriatric assessment requires improvement. High-sensitivity cut-off points could miss 11-24% of patients with frailty, and many non-frail patients may be flagged. Screening with SMD is practical but work is needed to understand clinical andresource impacts of different cut-off points. Future research should evaluate performance with additional clinical data and in subgroups.

Frailty, a state of increased vulnerability to stressors due to aging or treatment-related accelerated aging, is associated with declines in physical, cognitive and/or social functioning, and quality of life for cancer survivors. For survivors aged <65 years, little is known about frailty status and associated impairments to inform intervention. We aimed to evaluate the prevalence of frailty and contributing geriatric assessment (GA)-identified impairments in adults aged <65 versus ≥65 years with cancer.

This study is a secondary analysis of clinical trial data (NCT04852575). Participants were starting a new line of systemic therapy at a community-based oncology private practice. Before starting treatment, participants completed an online patient-reported GA and the Physical Activity (PA) Vital Sign questionnaire. Frailty score and category were derived from GA using a validated deficit accumulation model: frail (>0.35), pre-frail (0.2-0.35), or robust (0-0.2). PA mins/week were calculated, and participants were coded as either meeting/not-meeting guidelines (≥90 min/week). We used Spearman (ρ) correlation to examine the association between age and frailty score and chi-squared/Fisher's-exact or ANOVA/Kruskal-Wallis statistic to compare frailty and PA outcomes between age groups.

Participants (n = 96) were predominantly female (62%), Caucasian (68%), beginning first-line systemic therapy (69%), and 1.75 months post-diagnosis (median). Most had stage III to IV disease (66%). Common cancer types included breast (34%), gastrointestinal (23%), and hematologic (15%). Among participants <65, 46.8% were frail or pre-frail compared to 38.7% of those ≥65. There was no association between age and frailty score (ρ = 0.01, p = 0.91). Between age groups, there was no significant difference in frailty score (p = 0.95), the prevalence of frailty (p = 0.68), number of GA impairments (p = 0.33), or the proportion meeting PA guidelines (p = 0.72). However, older adults had more comorbid conditions (p = 0.03) and younger adults had non-significant but clinically relevant differences in functional ability, falls, and PA level.

In our cohort, the prevalence of frailty was similar among adults with cancer <65 when compared to those older than 65, however, types of GA impairments differed. These results suggest GA and the associated frailty index could be useful to identify needs for intervention and inform clinical decisions during cancer treatment regardless of age. Additional research is needed to confirm our findings.

When a person's workload of healthcare exceeds their resources, they experience treatment burden. At the intersection of cancer and aging, little is known about treatment burden. We evaluated the association between a geriatric assessment-derived Deficit Accumulation Index (DAI) and patient-reported treatment burden in older adults with early-stage, non-muscle-invasive bladder cancer (NMIBC).

We conducted a cross-sectional survey of older adults with NMIBC (≥65 years). We calculated DAI using the Cancer and Aging Research Group's geriatric assessment and measured urinary symptoms using the Urogenital Distress Inventory-6 (UDI-6). The primary outcome was Treatment Burden Questionnaire (TBQ) score. A negative binomial regression with LASSO penalty was used to model TBQ. We further conducted qualitative thematic content analysis of responses to an open-ended survey question ("What has been your Greatest Challenge in managing medical care for your bladder cancer") and created a joint display with illustrative quotes by DAI category.

Among 119 patients, mean age was 78.9 years (SD 7) of whom 56.3% were robust, 30.3% pre-frail, and 13.4% frail. In the multivariable model, DAI and UDI-6 were significantly associated with TBQ. Individuals with DAI above the median (>0.18) had TBQ scores 1.94 times greater than those below (adjusted IRR 1.94, 95% CI 1.33-2.82). Individuals with UDI-6 greater than the median (25) had TBQ scores 1.7 times greater than those below (adjusted IRR 1.70, 95% CI 1.16-2.49). The top 5 themes in the Greatest Challenge question responses were cancer treatments (22.2%), cancer worry (19.2%), urination bother (18.2%), self-management (18.2%), and appointment time (11.1%).

DAI and worsening urinary symptoms were associated with higher treatment burden in older adults with NMIBC. These data highlight the need for a holistic approach that reconciles the burden from aging-related conditions with that resulting from cancer treatment.

People living with frailty are vulnerable to poor outcomes and incur higher health care costs after coronary artery bypass graft (CABG) surgery. Frailty-defining instruments for population-level research in the CABG setting have not been established. The objectives of the study were to develop a preoperative frailty index for CABG (pFI-C) surgery using Ontario administrative data; assess pFI-C suitability in predicting clinical and economic outcomes; and compare pFI-C predictive capabilities with other indices.

A retrospective cohort study was conducted using health administrative data of 50,682 CABG patients. The pFI-C comprised 27 frailty-related health deficits. Associations between index scores and mortality, resource use and health care costs (2022 Canadian dollars [CAD]) were assessed using multivariable regression models. Capabilities of the pFI-C in predicting mortality were evaluated using concordance statistics; goodness of fit of the models was assessed using Akakie Information Criterion.

As assessed by the pFI-C, 22% of the cohort lived with frailty. The pFI-C score was strongly associated with mortality per 10% increase (odds ratio [OR], 3.04; 95% confidence interval [CI], [2.83,3.27]), and was significantly associated with resource utilization and costs. The predictive performances of the pFI-C, Charlson, and Elixhauser indices and Johns Hopkins Aggregated Diagnostic Groups were similar, and mortality models containing the pFI-C had a concordance (C)-statistic of 0.784. Cost models containing the pFI-C showed the best fit.

The pFI-C is predictive of mortality and associated with resource utilization and costs during the year following CABG. This index could aid in identifying a subgroup of high-risk CABG patients who could benefit from targeted perioperative health care interventions.

Cancer survivors are vulnerable to frailty. While few studies have focused on the association of frailty with mortality risk among cancer survivors, the current study aimed to reveal this association. In this cohort study, 4723 cancer survivors were enrolled from the National Health and Nutrition Examination Surveys (NHANES, 1999-2018). Frailty status was quantified using the 53-item frailty index. Death outcomes were linked to National Death Index mortality data (as of December 31, 2019). Cox proportional hazard models were used to estimate HRs (95% CIs). The median (IQR) frailty score was 0.190 (0.132, 0.277). During the median follow-up of 6.7 years, 1775 all-cause deaths (including 581 cancer deaths and 385 cardiac deaths) were documented. Compared to the lowest tertile of frailty scores, the adjusted HRs (95% CIs) for the highest tertile were 2.698 (2.224, 3.272) for all-cause mortality (P trend < 0.001), 2.145 (1.547, 2.973) for cancer mortality (P trend < 0.001), and 3.735 (2.231, 6.251) for cardiac mortality (P trend < 0.001). Moreover, a positive dose‒response association between the frailty score and mortality risk was determined. Each per-unit increase in the frailty score (natural logarithm transformed) was found to increase all-cause mortality by 159% (P < 0.001), cancer mortality by 103% (P < 0.001), and cardiac mortality by 256% (P < 0.001). A consistent result was shown when stratifying by age, sex, race, body mass index, and type of cancer. This study suggested that the frailty index was positively associated with all-cause mortality and cause-specific mortality (including cancer and cardiac deaths) among cancer survivors.

Research studies have demonstrated that comprehensive geriatric assessment (CGA) improves outcomes in older adults with cancer treated with chemotherapy. We compared survival outcomes on older adults with advanced cancer before and after the initiation of a geriatric oncology service (GOS) in a single Japanese cancer center.

This was a comparative study of two groups of consecutive patients 70 years and older with advanced cancer who were referred to medical oncology for first-line chemotherapy before (controls; n = 151, September 2015-August 2018) and after (GOS; n = 191, September 2018-March 2021) implementation of the GOS. When the treating physician requested a consultation from the GOS, a geriatrician and an oncologist performed CGA and provided recommendations for cancer treatment and geriatric interventions. Time to treatment failure (TTF) and overall survival (OS) were compared between the two groups.

The median age for all patients was 75 (range, 70-95) years, and 85% had GI cancers. In the GOS group, 82 patients received the CGA before a treatment decision and oncologic treatment plans were changed in 49 patients (60%). The overall implementation rate of the CGA-based geriatric interventions was 45%. Two hundred and eighty-two patients received chemotherapy (controls; n = 128 and GOS; n = 154), and 60 patients were treated with best supportive care only (controls; n = 23 and GOS; n = 37). Among patients receiving chemotherapy, TTF event rates for the GOS group compared with the control group were 5.7% versus 14% at 30 days (P = .02) and 13% versus 29% at 60 days (P = .001). The GOS group had longer OS than the control group with a hazard ratio of 0.64 (95% CI, 0.44 to 0.93; P = .02).

In this study, older adults with advanced cancer managed after the implementation of a GOS had improved survival outcomes compared with a historical control of patients.

Colorectal cancer (CRC) preferentially affects older adults. Modifiable factors, such as anxiety, can be measured as part of cancer-specific geriatric assessments (GA) completed prior to the start of treatment. We hypothesized that anxiety is prevalent among older adults with CRC and is associated with increased depression, increased frailty, and impaired health-related quality of life (HRQOL).

Patients ≥60 years old with newly diagnosed CRC completed a cancer-specific GA called the Cancer and Aging Resilience Evaluation (CARE). Between September 2017 and February 2023, we analyzed patients with CRC who had not yet received any systemic treatment. Anxiety was assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) Anxiety 4-item short form and reported as t-scores. We used modified Poisson models with robust variance estimation to assess for differences in the prevalence of depression, frailty, and impaired HRQOL.

We analyzed 277 older adults with CRC. The median age of the study sample was 68 years. 57% were male, 72% were non-Hispanic White, and most had advanced CRC (35% stage III and 39% stage IV). Moderate/severe anxiety was present in 17% of older adults with newly diagnosed CRC. In adjusted models, as compared to patients without moderate/severe anxiety, patients with moderate/severe anxiety had significantly increased risk of depression (prevalence ratio [PR] 7.60, CI 4.90-11.78), frailty (PR 4.93, CI 3.01-8.07), impaired physical HRQOL (PR 3.57, CI 2.03-6.28), and impaired mental HRQOL (PR 3.82, CI 2.12-6.89).

Among older adults with CRC, anxiety is associated with increased depression and frailty as well as reduced HRQOL.

Older adults share a growing burden of cancer morbidity and mortality. This is present across the spectrum of oncologic diagnoses and is particularly true with colorectal cancer (CRC), where older adults continue to share the burden of diagnoses. However, optimal cancer treatment decision making in older adults remains a significant challenge, as the majority of previous clinical trials shaping the current treatment landscape have focused on younger patients, often with more robust performance status and fewer medical comorbid conditions. The heterogeneous aging process of older adults with CRC necessitates a personalized treatment approach, as approximately three-quarters of older adults with CRC also have a concominant geriatric syndrome and more than half of older adults with CRC are pre-frail or frail. Treatment decisions shoud be multifaceted, including consultation with the patient and their familes regarding their wishes, with consideration of the patient's quality of life, functional status, medical comorbid conditions, social support, and treatment toxicity risk. Geriatric assessment is a systematic and validated approach to assess an older adults's potential strengths and vulnerabilities, which can in turn be used to assist with comprehensive cancer care planning and support. In this review, we will summarize current treatment approaches for older adults with CRC, with a particular focus on the incorporation of the geriatric assessment.

Sarcopenia and frailty are associated with mortality in older patients with gastrointestinal cancer. However, it is unclear if there is an additional risk when both are present. This study aimed to investigate the independent and overlapping of sarcopenia and frailty with mortality in this population.

A prospective cohort study including older patients (≥ 60 years old) with gastrointestinal cancer. Sarcopenia was defined by the EWGSP2 criteria: (i) low muscle strength (handgrip test), (ii) low muscle mass (skeletal muscle index), and/or low muscle quality (skeletal muscle radiodensity) by computed tomography. Frailty was defined according to Fried phenotype (at least three of the five components): (i) low muscle strength (handgrip test), (ii) unintentional weight loss, (iii) self-reported exhaustion, (iv) low physical activity, and (v) low gait speed. Cox proportional hazards model was used to assess overall survival rates and risk of mortality.

We evaluated 179 patients with gastrointestinal cancer [68.0 (61.0-75.0) years old; 45% women]. The prevalence of sarcopenia, frailty, and sarcopenia-frailty was 32.9% (n = 59), 59.2% (n = 106), and 24.6% (n = 44), respectively. The incidence of mortality was 27.9% (n = 50) over a 23-month (IQR, 10, 28) period. There was an association of sarcopenia (HR = 1.78, 95% CI 1.03-3.06) with mortality, but no association was found of frailty and the outcome. Sarcopenia-frailty was associated with the highest risk of mortality (HR = 2.23, 95% CI 1.27-3.92).

Sarcopenic-frail older patients with gastrointestinal cancer have a higher risk of mortality than those with sarcopenia or frailty alone, which reinforces the importance of assessing both conditions in oncology clinical care.

Despite the known influences of both race- and aging-related factors in colorectal cancer outcomes and mortality, limited literature is available on the intersection between race and aging-related impairments.

To explore racial differences in frailty and geriatric deficit subdomains among patients with colorectal cancer.

Retrospective study using data from the Cancer and Aging Resilience Evaluation registry.

A comprehensive cancer center in the Deep South.

Older adults (aged ≥60 years) with colorectal cancer.

Measure of frailty and geriatric assessment subdomains of physical function, functional status, cognitive complaints, psychological function, and health-related quality of life.

Black patients lived in areas with a higher social vulnerability index compared to White patients (0.69 vs 0.49; p < 0.01) and had limited social support more often (54.5% vs 34.9%; p = 0.01). After adjustment for age, cancer stage, comorbidities, and social vulnerability index, Black patients were found to have a higher rate of frailty than White patients (adjusted OR 3.77; 95% CI, 1.76-8.18; p = 0.01). In addition, Black patients had more physical limitations (walking 1 block: adjusted OR 1.93; 95% CI, 1.02-3.69; p = 0.04), functional limitations (activities of daily living: adjusted OR 3.21; 95% CI, 1.42-7.24; p = 0.01), and deficits in health-related quality of life (poor global self-reported health: adjusted OR 2.45; 95% CI, 1.23-5.13; p = 0.01). Similar findings were shown after stratification by stage I to III vs IV.

Retrospective study at a single institution.

Among older patients with colorectal cancer, Black patients were more likely to be frail than White patients, with deficits observed specifically in physical function, functional status, and health-related quality of life. Geriatric assessment may provide an important tool in addressing racial inequities in colorectal cancer.

ANTECEDENTES: A pesar de las influencias conocidas de los factores relacionados con la raza y el envejecimiento en los resultados y la mortalidad del cáncer colorectal, hay muy poca literatura sobre la intersección entre los impedimentos relacionados con la raza y el envejecimiento.OBJETIVO: El objetivo era explorar las diferencias raciales en los subdominios de fragilidad y déficit geriátrico entre los pacientes con cáncer colorectal.DISEÑO: Estudio retrospectivo utilizando datos del registro Cancer and Aging Resilience Evaluation.AJUSTES: Un centro oncológico integral en el Sur Profundo.PACIENTES: Adultos mayores (≥60 años) con cáncer colorrectal de raza Negra o Blanca.PRINCIPALES MEDIDAS DE RESULTADO: Medida compuesta de fragilidad y subdominios de evaluación geriátrica de función física, estado funcional, quejas cognitivas, función psicológica y calidad de vida relacionada con la salud.RESULTADOS: De los 304 pacientes incluidos, el 21,7% (n = 66) eran negros y la edad media era de 69 años. Los pacientes negros vivían en áreas con un índice de vulnerabilidad social (SVI) más alto en comparación con los pacientes blancos (SVI 0,69 vs 0,49; p < 0,01) y con mayor frecuencia tenían apoyo social limitado (54,5% vs 34,9%; p = 0,01). Después de ajustar por edad, estadio del cáncer, comorbilidades y SVI, los pacientes de raza negra tenían una mayor tasa de fragilidad en comparación con los pacientes de raza blanca (ORa 3,77, IC del 95%: 1,76-8,18; p = 0,01). Además, los pacientes negros tenían más limitaciones físicas (caminar 1 cuadra: ORa 1,93, IC 95% 1,02-3,69; p = 0,04), limitaciones funcionales (actividades de la vida diaria: ORa 3,21, IC 95% 1,42-7,24; p = 0,01 ) y déficits en la calidad de vida relacionada con la salud (mala salud global autoinformada: ORa 2,45, IC 95% 1,23-5,13; p = 0,01). Las quejas cognitivas y las funciones psicológicas no difirieron según la raza (p > 0,05). Se mostraron hallazgos similares después de la estratificación por estadio I-III frente a IV.LIMITACIONES: Estudio retrospectivo en una sola institución.CONCLUSIONES: Entre los pacientes mayores con cáncer colorrectal, los pacientes negros tenían más probabilidades que los pacientes blancos de ser frágiles, observándose déficits específicamente en la función física, el estado funcional y la calidad de vida relacionada con la salud. La evaluación geriátrica puede proporcionar una herramienta importante para abordar las desigualdades raciales en el cáncer colorrectal.

Eastern Cooperative Oncology Group (ECOG) performance status is used in decision-making to identify fragile patients, despite the development of new and possibly more reliable measures. This study aimed to examine the impact of frailty on end-of-life healthcare utilization in deceased cancer patients.

Hospital Frailty Risk Scores (HFRS) were calculated based on 109 weighted International Classification of Diseases 10th revision (ICD-10) diagnoses, and HFRS was related to (a) receipt of specialized palliative care, (b) unplanned emergency room (ER) visits during the last month of life, and (c) acute hospital deaths.

A total of 20,431 deceased cancer patients in ordinary accommodations were studied (nursing home residents were excluded). Frailty, as defined by the HFRS, was more common in men than in women (42% vs. 38%, p < 0.001) and in people residing in less affluent residential areas (42% vs. 39%, p < 0.001). Patients with frailty were older (74.1 years vs. 70.4 years, p < 0.001). They received specialized palliative care (SPC) less often (76% vs. 81%, p < 0.001) but had more unplanned ER visits (50% vs. 35%, p < 0.001), and died more often in acute hospital settings (22% vs. 15%, p < 0.001). In multiple logistic regression models, the odds ratio (OR) was higher for frail people concerning ER visits (OR 1.81 (1.71-1.92), p < 0.001) and hospital deaths (OR 1.66 (1.51-1.81), p < 0.001), also in adjusted models, when controlled for age, sex, socioeconomic status at the area level, and for receipt of SPC.

Frailty, as measured by the HFRS, significantly affects end-of-life cancer patients and should be considered in oncologic decision-making.

Breast cancer (BC) is the most common cancer type in women. The purpose of this study was to assess the eligibility criteria in recent clinical trials in BC, especially those that can limit the enrollment of older patients as well as those with comorbidities and poor performance status.

Data on clinical trials in BC were extracted from ClinicalTrials.gov. Co-primary outcomes were proportions of trials with different types of the eligibility criteria. Associations between trial characteristics and the presence of certain types of these criteria (binary variable) were determined with univariate and multivariate logistic regression.

Our analysis included 522 trials of systemic anticancer treatments started between 2020 and 2022. Upper age limits, strict exclusion criteria pertaining to comorbidities, and those referring to inadequate performance status of the patient were used in 204 (39%), 404 (77%), and 360 (69%) trials, respectively. Overall, 493 trials (94%) had at least one of these criteria. The odds of the presence of each type of the exclusion criteria were significantly associated with investigational site location and trial phase. We also showed that the odds of the upper age limits and the exclusion criteria involving the performance status were significantly higher in the cohort of recent trials compared with cohort of 309 trials started between 2010 and 2012 (39% vs 19% and 69% vs 46%, respectively; p < 0.001 for univariate and multivariate analysis in both comparisons). The proportion of trials with strict exclusion criteria was comparable between the two cohorts (p > 0.05). Only three of recent trials (1%) enrolled solely patients aged 65 or 70 and older.

Many recent clinical trials in BC exclude large groups of patients, especially older adults, individuals with different comorbidities, and those with poor performance status. Careful modification of some of the eligibility criteria in these trials should be considered to allow investigators to assess the benefits and harms of investigational treatments in participants with characteristics typically encountered in clinical practice.

The frailty index (FI) is one way in which frailty can be quantified. While it is measured as a continuous variable, various cut-off points have been used to categorise older adults as frail or non-frail, and these have largely been validated in the acute care or community settings for older adults without cancer. This review aimed to explore which FI categories have been applied to older adults with cancer and to determine why these categories were selected by study authors.

This scoping review searched Medline, EMBASE, Cochrane, CINAHL, and Web of Science databases for studies which measured and categorised an FI in adults with cancer. Of the 1994 screened, 41 were eligible for inclusion. Data including oncological setting, FI categories, and the references or rationale for categorisation were extracted and analysed.

The FI score used to categorise participants as frail ranged from 0.06 to 0.35, with 0.35 being the most frequently used, followed by 0.25 and 0.20. The rationale for FI categories was provided in most studies but was not always relevant. Three of the included studies using an FI > 0.35 to define frailty were frequently referenced as the rationale for subsequent studies, however, the original rationale for this categorisation was unclear. Few studies sought to determine or validate optimum FI categorises in this population.

There is significant variability in how studies have categorised the FI in older adults with cancer. An FI ≥ 0.35 to categorise frailty was used most frequently, however an FI in this range has often represented at least moderate to severe frailty in other highly-cited studies. These findings contrast with a scoping review of highly-cited studies categorising FI in older adults without cancer, where an FI ≥ 0.25 was most common. Maintaining the FI as a continuous variable is likely to be beneficial until further validation studies determine optimum FI categories in this population. Differences in how the FI has been categorised, and indeed how older adults have been labelled as 'frail', limits our ability to synthesise results and to understand the impact of frailty in cancer care.

Basic resource needs related to transportation, housing, food, and medications are important social determinants of health and modifiable indicators of poverty, but their role in modifying the risk of frailty and health-related quality of life (HRQoL) remains unknown. The goal of our study was to examine the prevalence of unmet basic needs and their association with frailty and HRQoL in a cohort of older adults with cancer.

The CARE registry prospectively enrolls older adults (≥60 years) with cancer. Assessments of transportation, housing, and material hardship were added to the CARE tool in 8/2020. The 44-item CARE Frailty Index was used to define frailty, and subdomains of physical and mental HRQoL were assessed using the PROMIS® 10-global. Multivariable analysis examined the association between unmet needs with frailty and HRQoL subdomains, adjusting for covariates.

The cohort included 494 participants. Median age of 69 years, 63.6% were male and 20.2% were Non-Hispanic (NH) Black. Unmet basic needs were reported in 17.8% (transportation 11.5%, housing 2.8%, and material hardship 7.5%). Those with unmet needs were more often NH Black (33.0% vs. 17.8%, p = 0.006) and less educated (

CONCLUSIONS

Unmet basic needs represent a novel exposure that is independently associated with frailty and low HRQoL and warrants the development of targeted interventions.

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Discrimination can adversely affect health and accelerate aging, but little is known about these relationships in cancer survivors. This study examines associations of discrimination and aging among self-identified African American survivors.

A population-based sample of 2232 survivors 20-79 years old at diagnosis were enrolled within 5 years of breast (n = 787), colorectal (n = 227), lung (n = 223), or prostate (n = 995) cancer between 2017 and 2022. Surveys were completed post-active therapy. A deficit accumulation index measured aging-related disease and function (score range, 0-1, where <0.20 is robust, 0.20 to <0.35 is pre-frail, and 0.35+ is frail; 0.06 is a large clinically meaningful difference). The discrimination scale assessed ever experiencing major discrimination and seven types of events (score, 0-7). Linear regression tested the association of discrimination and deficit accumulation, controlling for age, time from diagnosis, cancer type, stage and therapy, and sociodemographic variables.

Survivors were an average of 62 years old (SD, 9.6), 63.2% reported ever experiencing major discrimination, with an average of 2.4 (SD, 1.7) types of discrimination events. Only 24.4% had deficit accumulation scores considered robust (mean score, 0.30 [SD, 0.13]). Among those who reported ever experiencing major discrimination, survivors with four to seven types of discrimination events (vs. 0-1) had a large, clinically meaningful increase in adjusted deficits (0.062, p < .001) and this pattern was consistent across cancer types.

African American cancer survivors have high deficit accumulated index scores, and experiences of major discrimination were positively associated with these deficits. Future studies are needed to understand the intersectionality between aging, discrimination, and cancer survivorship among diverse populations.

Chemotoxicity risk scores were developed to predict grade 3-5 chemotherapy toxicity in older women with early breast cancer. However, whether these toxicity risk scores are associated with clinically meaningful decline in patient health remains unknown.

In a prospective study of women aged 65 years and older with stage I-III breast cancer treated with chemotherapy, we assessed chemotoxicity risk using the Cancer and Aging Research Group-Breast Cancer (CARG-BC) score (categorized as low, intermediate, and high). We measured patient health status before (T1) and after (T2) chemotherapy using a clinical frailty index (Deficit Accumulation Index, categorized as robust, prefrail, and frail). The population of interest was robust women at T1. The primary outcome was decline in health status after chemotherapy, defined as a decline in Deficit Accumulation Index from robust at T1 to prefrail or frail at T2. Multivariable logistic regression was used to examine the association between T1 CARG-BC score and decline in health status, adjusted for sociodemographic and clinical characteristics.

Of the 348 robust women at T1, 83 (24%) experienced declining health status after chemotherapy, of whom 63% had intermediate or high CARG-BC scores. After adjusting for sociodemographic and clinical characteristics, women with intermediate (odds ratio = 3.14, 95% confidence interval = 1.60 to 6.14, P < .001) or high (odds ratio = 3.80, 95% confidence interval = 1.35 to 10.67, P = .01) CARG-BC scores had greater odds of decline in health status compared with women with low scores.

In this cohort of older women with early breast cancer, higher CARG-BC scores before chemotherapy were associated with decline in health status after chemotherapy independent of sociodemographic and clinical risk factors.

Rural-urban disparities persist in cancer mortality, despite improvement in cancer screening and treatment. Although older adults represent the majority of cancer cases and are over-represented in rural areas, few studies have explored rural-urban disparities in mortality and age-related impairments among older adults with cancer.

We included 962 newly-diagnosed older adults (≥60 years) with cancer who underwent geriatric assessment (GA) at their first pre-chemotherapy visit to an academic medical center in the Southeastern United States. We used Rural-Urban Commuting Area (RUCA) codes to classify residence at time of diagnosis into urban and rural areas. We used one-year survival and pre-treatment frailty as outcomes. We used Cox proportional hazards regression to evaluate the association between residence and one-year mortality, and logistic regression to evaluate the association between residence and pre-treatment frailty. All tests were two-sided.

Median age at GA was 68.0 (interquartile rage [IQR]: 64.0, 74.0) years; most had colorectal cancer (24.3%) with advanced stage (III/IV 73.2%) disease. Overall, 11.4% resided in rural and 88.6% in urban areas. Rural areas had a higher proportion of White and less educated participants. After adjustment for age, sex, race, education, employment status, and cancer type/stage, rural residence was associated with higher hazard of one-year mortality (hazard ratio [HR] = 1.78, 95% confidence interval [CI] = 1.23, 2.57) compared to urban residence. Frailty was an effect modifier of this association (HROverall = 1.83, 95% CI = 1.27, 2.57; HRFrail = 2.05, 95% CI = 1.23, 3.41; HRNot Frail = 1.55, 95% CI = 0.90, 2.68).

Among older adults with newly diagnosed cancer, rural residence was associated with reduced one-year survival, particularly among frail older adults. The rural-urban disparities observed in the current study may be due to frailty in conjunction with disparities in social determinants of health across rural and urban areas. Future studies should focus on understanding and intervening on underlying causes of these disparities.