Childhood obesity is a significant public health concern, particularly amongst children with chronic kidney disease requiring kidney transplant (KT). Obesity, defined as a body mass index (BMI) of 30 kg/m² or greater, is prevalent in this population and is associated with disease progression. While BMI influences adult KT eligibility, its impact on pediatric transplant outcomes remains unclear. This study investigates the effect of BMI on graft survival and patient outcomes, addressing gaps in the literature and examining disparities across BMI classifications.

To assess the impact of BMI classifications on graft and patient survival following KT.

A retrospective cohort study analyzed 23081 pediatric transplant recipients from the Standard Transplant Analysis and Research database (1987-2022). Patients were grouped into six BMI categories: Underweight, healthy weight, overweight, and Class 1, 2, and 3 obesity. Data were analyzed using one-way way analysis of variance, Kruskal-Wallis tests, Chi-squared tests, Kaplan-Meier survival analysis with log-rank tests, and Cox proportional hazard regressions. Statistical significance was set at P < 0.05.

Class 3 obese recipients had lower 1-year graft survival (88.7%) compared to healthy-weight recipients (93.1%, P = 0.012). Underweight recipients had lower 10-year patient survival (81.3%, P < 0.05) than healthy-weight recipients. Class 2 and 3 obese recipients had the lowest 5-year graft survival (67.8% and 68.3%, P = 0.013) and Class 2 obesity had the lowest 10-year graft survival (40.7%). Cox regression identified increases in BMI category as an independent predictor of graft failure [hazard ratio (HR) = 1.091, P < 0.001] and mortality (HR = 1.079, P = 0.008). Obese patients experienced longer cold ischemia times (11.6 and 13.1 hours vs 10.2 hours, P < 0.001). Class 3 obesity had the highest proportion of Black recipients (26.2% vs 17.9%, P < 0.001).

Severe obesity and underweight status are associated with poorer long-term outcomes in pediatric KT recipients, emphasizing the need for nuanced transplant eligibility criteria addressing obesity-related risks and socioeconomic disparities.

• Kidney
• Transplantation
• Graft failure
• Pediatric
• Obesity
• Underweight

• bone metabolism disorder
• hemodialysis
• osteocalcin
• peripheral artery disease

• Beijing JST Research Funding

• Nepal
• antimicrobial resistance
• chronic kidney disease
• urinary tract infection

• Aspartate aminotransferase-to-platelet ratio index (APRI)
• Chronic hepatitis B (CHB)
• Cirrhosis
• Fibrosis score based on four factors (FIB-4)
• Red cell volume distribution width (RDW)

• COVID-19
• blood platelets
• erythrocytes

• Zhejiang Provincial Medical and Health Science and Technology Program

• advanced-age patients
• myocardial injury after noncardiac surgery
• red blood cell distribution width

• gcs score
• hemodialysis
• prognosis
• red blood cell distribution width
• spontaneous intracerebral hemorrhage

• Humans
• Glasgow Coma Scale
• Hospital Mortality
• Erythrocyte Indices
• Retrospective Studies
• ROC Curve
• Prognosis
• Cerebral Hemorrhage/diagnosis
• Renal Dialysis
• Hemoglobins

• advanced age
• colorectal surgery
• postoperative pulmonary complications
• retrospective analysis
• risk factors

RDW is critical to the clinical diagnosis and progression of ESRD. There is currently little data on the relationship between RDW and ESRD in sub-Saharan Africa. Because of this, the present study evaluates RDW in patients with ESRD and associated factors in Addis Ababa, Ethiopia.

The hospital-based cross-sectional study design was conducted on a total of 83 patients. RDW, MCV, SCR, BUN, GFR, FBS and serum albumin were determined. Blood pressure (mmHg), weight (kg), height (m), MUAC (cm) and BMI (kg/m2) were also measured. Data entry was via Epi-data version 3.4 and analyzed with SPSS version 26.0. A multivariate logistic regression analysis with a p-value < 0.05 at a 95% confidence interval was used to identify the associated factors of RDW.

A total of 83 ESRD patients participated, with a response rate of 95.4%. RDW ranged from 15.5% to 23.6% with a mean of 17.40% + 1.46%. Anisocytosis was present in 98.8% of patients. Of 83 patients, 66.3% were hypertensive, 20.5% had diabetes, and the remaining 13.3% had other conditions (glomerulonephritis and peripheral vascular disease). The mean GFR value was 5.20 mL/min/1.73 + 1.58. RDW showed a significant association with GFR (AOR: 4.6, 95% CI [1.27, 20.74], P = 0.047), alcohol consumption (AOR: 13.4, P = 0.012, 95% CI [1.97, 22.62]), recurrent kidney disease (AOR=25.6, P=0.016, 95% CI [1.85, 53.71]) and use of medication (AOR=00.2, P=0.044), 95% CI [0.03, 0.95]).

RDW showed a significant association with GFR, recurrent kidney disease, alcohol consumption, and medication use in hemodialysis-dependent ESRD patients. The mechanisms of RDW disruption in ESRD patients need further investigation.

In clinical practice, distinguishing disease activity in patients with rheumatological illnesses is challenging.

We aimed to investigate clinical associations of hemogram-derived indices, namely: red cell distribution width (RDW), mean platelet volume (MPV), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII) with disease activity in patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and ankylosing spondylitis (AS).

In 250 patients with rheumatological disease and 100 healthy age-matched controls, we investigated disease activity scores and indicators and evaluated their association with hemogram-derived indices values.

Compared with the control group, RDW, MPV, and PLR significantly increased (P < .001) in the three studied disorders (RA, SLE, and AS), but LMR dramatically decreased. SII was considerably higher in RA and AS patients compared with controls but not in SLE patients. On the other hand, NLR rose dramatically in SLE patients compared with controls (P = .043), but did not change much in RA and AS patients (P > .05). RDW and MPV showed significant changes (P < .001) in the three studied diseases (RA, SLE, and AS) according to disease activity. They significantly increased across worsening activity scores. Only in the SLE group, PLR was significantly increased with disease activity (P < .001), while LMR showed a significant decrease (P = .016).

Clinicians must pay close attention to complete blood count (CBC) analysis and its various derived ratios to better characterize the activity of rheumatological disorders and anticipate the disease course and prognosis.

• Ankylosing spondylitis
• complete blood count
• hemogram-derived ratios
• rheumatoid arthritis
• systemic lupus erythematosus

Red blood cell distribution width (RDW) has emerged as a prognostic marker of atrial fibrillation (AF) in various clinical settings. However, the relationship by which RDW was linked to AF in hemodialysis (HD) patients was not clear. We sought to reveal the relationship between RDW and AF occurrence in HD patients.

We enrolled 170 consecutive maintenance HD patients, including 86 AF patients and 84 non-AF patients. All participants’ medical history and detailed clinical workup were recorded before the first dialysis session of the week. Electrocardiography, laboratory and transthoracic echocardiography examination indices were compared between the AF group and non-AF group. Multivariable logistic regression analysis was performed to identify the independent predictors of AF occurrence in HD patients.

There were all paroxysmal AF patients in AF group. Compared to the non-AF group, patients with AF group had a significantly older age (61.0 ± 1.48 vs. 49.71 ± 1.79, p < 0.001), lower BMI (24.3 ± 4.11 vs. 25.8 ± 3.87, p < 0.05), higher RDW (15.10 ± 0.96 vs. 14.26 ± 0.82, p < 0.001) and larger LAD (39.87 ± 3.66 vs. 37.68 ± 5.08, p < 0.05). Multivariable logistic regression analyses demonstrated that values of age (OR: 1.030, 95%CI: 1.004-1.057, per one- year increase), BMI (OR: 0.863, 95%CI: 0.782–0.952, per 1 kg/m² increase), RDW (OR: 2.917, 95%CI: 1.805–4.715, per 1% increase) and LAD (OR: 1.097, 95%CI: 1.004–1.199, per 1 mm increase) were independently associated with AF occurrence (p < 0.05, respectively). The best cutoff value of RDW to predict AF occurrence was 14.65% with a sensitivity of 68.6% and a specificity of 72.6%.

The increased RDW was significantly associated with the paroxysmal AF occurrence in HD patients.

• CBC
• canine
• hematological biomarker
• illness severity

• correlation
• diabetic chronic kidney disease
• inflammation
• red cell distribution width

• Cross-Sectional Studies
• Erythrocyte Indices
• Erythrocytes
• Female
• Humans
• Male
• Pulmonary Disease, Chronic Obstructive
• Retrospective Studies

Sepsis‐associated thrombocytopenia (SAT) is common in critical patients and results in the elevation of mortality. Red cell distribution width (RDW) can reflect body response to inflammation and oxidative stress. We try to investigate the relationship between the RDW and the prognosis of patients with SAT through machine learning.

809 patients were retrospectively analyzed from the Medical Information Mart for Intensive Care III (MIMIC‐III) database. The eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP) were used to analyze the impact of each feature. Logistic regression analysis, propensity score matching (PSM), receiver‐operating characteristics (ROC) curve analysis, and the Kaplan‐Meier method were used for data processing.

The patients with thrombocytopenia had higher 28‐day mortality (48.2%). Machine learning indicated that RDW was the second most important in predicting 28‐day mortality. The RDW was significantly increased in non‐survivors by logistic regression and PSM. ROC curve shows that RDW has moderate predictive power for 28‐day mortality. The patients with RDW>16.05 exhibited higher mortality through Kaplan‐Meier analysis.

Interpretable machine learning can be applied in clinical research. Elevated RDW is not only common in patients with SAT but is also associated with a poor prognosis.

• inflammation
• machine learning
• red cell distribution width
• septic shock
• thrombocytopenia

• anxiety
• chronic kidney disease
• depression
• end-stage renal disease
• osteoarthrosis
• pain
• quality of life
• sleep disorders
• sleep-wake disorders

We used a retrospective study design to evaluated the predictive value of red cell distribution width (RDW) for drug-induced liver injury (DILI) severity in Chinese patients with liver biopsy to assist with early DILI management. We included 164 DILI patients with complete laboratory information and medical history. We compared outcomes of 36 patients with severe DILI with outcomes of a control group of 128 patients with mild-to-moderate DILI. Multivariate analyses of risk factors for severe liver injury in Chinese patients with DILI revealed an estimated adjusted odds ratio (AOR) (95% CI) of 4.938 (1.088–22.412) in patients with drinking. Risk for serious liver injury was also increased significantly in patients with dyslipidemia [AOR (95% CI) 3.926 (1.282–12.026)], higher serum total bile acid (TBA) levels [AOR (95% CI) 1.014 (1.009–1.020)] and higher RDW [AOR (95% CI) 1.582 (1.261–1.986)]. The result for area under the curve of 0.905 for TBA levels indicated this variable had high diagnostic performance for predicting DILI severity. Based on an area under the curve value of 0.855, RDW also had superior diagnostic performance in prediction of DILI severity. This performance was not significantly different compared with TBA and was superior compared with other variables, which had area under values ranging from poor to failure (0.527–0.714).The risk for severe DILI was associated with drinking, dyslipidemia, higher TBA levels and RDW values. This study found that RDW and TBA levels were predictors of DILI severity in Chinese patients.

This retrospective study at a single center aimed to evaluate the role of the red blood cell distribution width (RDW)-to-platelet ratio and other laboratory indices associated with the severity of histological hepatic fibrosis on liver biopsy in patients with autoimmune hepatitis (AIH).

We retrospectively reviewed records from 2097 adult patients who had liver biopsies. Of these patients, data from 72 with AIH and 164 with drug-induced liver injury (DILI) with complete laboratory information and medical histories were included in the analysis.

We found that compared with patients with DILI, patients with AIH had higher alkaline phosphatase, globulin, and total bile acid levels. Multivariate analyses of risk factors for AIH-associated advanced liver fibrosis in Chinese patients revealed an estimated adjusted odds ratio (AOR) (95% CI) of 1.609 (1.028–2.517) in patients with higher immunoglobulin A (IgA) levels. Patients with higher gamma-glutamyl transpeptidase (GGT)-to-platelet ratio (GPR) values had a significantly higher risk of serious liver fibrosis than patients with lower GPR values. Advanced fibrosis risk was higher in patients with higher RPR values than in patients with lower RPR values [AOR (95% CI): 25.507 (2.934–221.784)]. The result for area under the curve (0.821) analysis for lnRPR levels indicated this variable had high diagnostic performance for predicting advanced AIH-related fibrosis.

The degree of histological liver fibrosis in patients with AIH was significantly associated with an increased red blood cell distribution width-to-platelet ratio, GPR, and increased serum levels of IgA.

This study aimed to estimate the importance of complete blood count parameters for predicting the timing of birth in threatened preterm labour cases.

We performed a retrospective study of 92 patients who were diagnosed with threatened preterm labour (24–34 gestational weeks). The patients were divided into two groups according to the time of birth (group 1: delivered within the first week after diagnosis; group 2: delivered later than 1 week). We compared characteristics and complete blood count parameters between these two groups.

There were no significant differences in maternal age, body mass index, gravida, parity, haemoglobin levels, and gestational weeks between the two groups. The mean cervical length was 24.24 ± 3.60 mm in group 1 and 30.70 ± 5.32 mm in group 2. There were significant differences in the neutrophil to lymphocyte ratio, white blood cell count, red cell distribution width (RDW), absolute lymphocyte cell count, and absolute neutrophil cell count between the two groups.

Maternal serum RDW, the neutrophil to lymphocyte ratio, white blood cell count, absolute lymphocyte cell count, and the absolute neutrophil cell count profile could guide clinicians in predicting the time of birth in threatened preterm labour cases.

• Red cell distribution width (RDW)
• cervical length
• delivery
• mean platelet volume (MPV)
• neutrophil to lymphocyte ratio (NLR)
• preterm birth
• white blood cells

• Blood Cell Count/methods
• Female
• Humans
• Lymphocyte Count
• Lymphocytes
• Mean Platelet Volume
• Neutrophils
• Obstetric Labor, Premature/blood
• Obstetric Labor, Premature/prevention & control
• Pregnancy
• Premature Birth/blood
• Premature Birth/physiopathology
• Premature Birth/prevention & control
• Retrospective Studies
• Turkey/epidemiology

• inflammation
• mortality
• noncardiac surgery
• perioperative outcome
• propensity score matching
• red cell distribution width

• hospitalization
• mortality
• peritoneal dialysis
• red blood cell distribution width

• Albumin
• End-stage renal disease
• Hematogenous infection
• Hemodialysis
• Infectious spondylitis
• Malnutrition
• Propensity score-matched case-control study
• Recent access operation
• Red blood cell volume distribution width
• Vertebral osteomyelitis

• Adult
• Alkaline Phosphatase/blood
• Bacterial Infections/diagnosis
• Biomarkers/blood
• C-Reactive Protein/analysis
• Case-Control Studies
• Erythrocyte Volume
• Female
• Hemoglobin A/analysis
• Humans
• Kidney Failure, Chronic/therapy
• Male
• Middle Aged
• Propensity Score
• ROC Curve
• Rare Diseases/diagnosis
• Rare Diseases/etiology
• Renal Dialysis/adverse effects
• Renal Dialysis/instrumentation
• Retrospective Studies
• Sensitivity and Specificity
• Spondylitis/diagnosis
• Spondylitis/etiology

• Chang Gung Memorial Hospital, Linkou

• Hepatitis B virus
• Liver diseases
• Meta-analysis
• Red blood cell distribution width (RDW)

• Acute-On-Chronic Liver Failure/blood
• Acute-On-Chronic Liver Failure/virology
• Case-Control Studies
• Erythrocyte Indices
• Hepatitis B virus/pathogenicity
• Humans
• Liver Cirrhosis/blood
• Liver Cirrhosis/virology
• Liver Diseases/blood
• Liver Diseases/virology

Recently, accumulating evidence has demonstrated that RDW independently predicts clinically important outcomes in many populations. However, the role of RDW has not been elucidated in chronic kidney disease (CKD) patients. We conducted the present study with the aim to evaluate the predictive value of RDW in CKD patients.

A retrospective observational cohort study of 1075 stage 3–5 CKD patients was conducted in a medical center. The patients’ baseline information included demographic data, laboratory values, medications, and comorbid conditions. The upper limit of normal RDW value (14.9%) was used to divide the whole population. Multivariate Cox regression analysis was used to determine the independent predictors of mortality.

Of the 1075 participants, 158 patients (14.7%) died over a mean follow-up of approximately 2.35 years. The crude mortality rate was significantly higher in the high RDW group (high RDW group, 22.4%; low RDW group 11%, p <0.001). From the adjusted model, the high RDW group was correlated with a hazard ratio of 2.19 for overall mortality as compared with the low RDW group (95% CI = 1.53–3.09, p<0.001). In addition, the high RDW group was also associated with an increased risk for cardiovascular disease (HR = 2.28, 95% CI = 1.14–4.25, p = 0.019) and infection (HR = 1.9, 95% CI = 1.15–3.14, p = 0.012)) related mortality in comparison with the low RDW group.

In stage 3–5 CKD patients, RDW was associated with patient mortality of all-cause, cardiovascular disease and infection. RDW should be considered as a clinical predictor for mortality when providing healthcare to CKD patients.

• Aged
• Cardiovascular Diseases/blood
• Cardiovascular Diseases/mortality
• Cardiovascular Diseases/pathology
• Erythrocyte Indices
• Erythrocytes/pathology
• Female
• Follow-Up Studies
• Humans
• Infections/blood
• Infections/mortality
• Infections/pathology
• Kaplan-Meier Estimate
• Male
• Middle Aged
• Prognosis
• Proportional Hazards Models
• Renal Insufficiency, Chronic/blood
• Renal Insufficiency, Chronic/mortality
• Renal Insufficiency, Chronic/pathology
• Risk Factors

To determine the prognostic value of baseline red blood cell distribution width (RDW) in diffuse large B cell lymphoma (DLBCL) patients.

Data from 81 DLBCL patients diagnosed from 2006 to 2013 at the University Hospital Center Osijek, Osijek, Croatia, were reviewed. We evaluated disease outcome, overall survival (OS) and event-free survival (EFS), and demographic, clinical and laboratory factors affecting outcome. Univariate analysis and Cox regression analysis were used.

Median age of patients was 64 years, 29 were men (35.8%). Higher RDW levels (%) were found in patients with advanced Ann Arbor clinical stage (14.94 ± 1.82 vs 13.55 ± 1.54, P = 0.001) and in those with poor response to therapy (14.94 ± 1.82 vs 13.55 ± 1.54, P = 0.001). Patients with RDW>15% (cut-off was calculated by receiver operating characteristics) had significantly worse OS (median [range], 33 months [20-46] vs 74 months [65-82], P < 0.001) and EFS (27 months [15-40] vs 68 months [59-77], P < 0.001). Cox regression analysis showed that RDW>15% was an independent prognostic factor for OS (HR 3.654, 95% CI 1.128-11.836) and EFS (HR 2.611, 95% CI 1.012-6-739).

High baseline RDW is an independent prognostic marker of poor outcome in patients with DLBCL. RDW could be an easily available and inexpensive marker for the risk stratification in patients with DLBCL.

• Red cell distribution width (RDW)
• end-stage renal disease (ESRD)
• hemodialysis (HD)
• mortality
• red blood cell heterogeneity
• renal function

• Hematology
• RDW
• mortality
• red blood cell distribution width
• risk factor