High Red Blood Cell Distribution Width Group Research Articles

Association between red blood cell distribution width and all-cause mortality of patients after intra-aortic balloon pump in the intensive care unit

ObjectivesThis study aimed to explore the relationship between red blood cell distribution width (RDW) and all-cause mortality in critically ill patients undergoing intra-aortic balloon pumping (IABP) in the intensive care unit (ICU). MethodsThis study retrospectively analyzed data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The primary endpoint was the 30-day mortality rate, while the secondary endpoint was the in-hospital mortality rate. Restricted cubic splines were used to assess the dose–response relationship. The receiver operating characteristic (ROC) curve and Kaplan-Meier curve analysis were carried out to evaluate the predictive performance of RDW. Moreover, multiple logistic regression analyses and subgroup analyses were conducted to investigate the relationship between RDW and 30-day mortality. Finally, propensity score matching (PSM) was performed to adjust for the imbalance of covariates. ResultsIn total, 732 patients were finally identified from the MIMIC-IV database in this study. The RDW of patients in the non-survivor group was significantly higher compared with those in the survivor group (P < 0.01). Multiple logistic regression analyses corroborated RDW was an independent predictor of all-cause 30-day mortality in critically ill patients post-IABP. Meanwhile, ROC analysis identified an RDW cutoff of 14.2%. High RDW patients exhibited a 131% (OR = 2.31, 95% CI: 1.49–3.61) elevated risk of 30-day mortality after adjusting for confounders in multivariable logistic regression. After PSM, 412 patients were included in the matched cohort. In the original and matched cohorts, the high RDW group had higher 30-day and in-hospital mortality rates, as well as longer ICU stays. Lastly, the area under the ROC curve for 30-day mortality was 0.686, with an optimal cutoff point of 14.2 for RDW (sensitivity: 69.09 % and specificity: 63.32%). ConclusionRDW could be a simple and valuable prognostic tool to predict mortality in critically ill patients after IABP.

Red blood cell distribution width is associated with sarcopenia risk in early-stage non-small cell lung cancer

BackgroundSarcopenia has received increasing attention in non-small cell lung cancer (NSCLC). Red blood cell distribution width (RDW) is a significant component of the complete blood count and indicates the heterogeneity of erythrocyte volume. Little information is known about RDW in relation to sarcopenia in early-stage (IA-IIIA) NSCLC. The purpose of the present study was to investigate the association between RDW and sarcopenia risk in early-stage NSCLC patients.MethodsThis study included 378 patients with pathologically confirmed stage IA-IIIA NSCLC. Sarcopenia was defined by measuring the skeletal muscle index (SMI) at the eleventh thoracic vertebra level. The maximum Youden index on the receiver operating characteristic (ROC) curve was used to estimate the cutoff value for RDW to predict sarcopenia. Logistic regression analyses were carried out to assess the independent risk factors for sarcopenia in NSCLC.ResultsThe ROC curve indicated that the best cutoff point for RDW to predict sarcopenia was 12.9 (sensitivity of 43.80% and specificity of 76.76%, respectively). Moreover, there were significant differences in hemoglobin (p < 0.001), comorbidities (p = 0.001), histological type (p = 0.002), and cancer stage (p = 0.032) between the high RDW and low RDW groups. Logistic regression analyses revealed that high RDW is an independent risk factor for sarcopenia in early-stage NSCLC.ConclusionRDW is associated with sarcopenia risk in early-stage NSCLC.

Red blood cell distribution width has a prognostic value for gastric cancer patients after gastrectomy: A pooling-up analysis.

Our study aims to investigate whether preoperative red blood cell distribution width (RDW) has a prognostic value for patients after gastric cancer (GC) surgery. We searched articles in 3 databases including PubMed, Embase, and the Cochrane Library on May 16th, 2022. The prognostic indicators included overall survival (OS) and disease-free survival (DFS). RevMan 5.3 (The Cochrane Collaboration, London, United Kingdom) and Stata V16.0 were used for statistical analysis. The Risk Of Bias In Non-randomized Studies-of Interventions tool was used to assess risk of bias of the included studies. Ten articles involving 2740 patients were included. RDW was a prognostic factor for OS (hazard ratio = 1.81, 95% confidence interval [CI] = 1.38-2.37, P < .01) and DFS (hazard ratio = 1.99, I2 = 26%, 95% CI = 1.53-2.58, P < .01) for GC patients. Meanwhile, there were some differences between the high RDW group and the low RDW group. We found more patients older than 60 years old (OR = 2.58, 95% CI = 1.08-6.13, P = .03), larger tumor diameter (OR = 1.95, 95% CI = 1.33-2.85, P < .01) and later T stage (OR = 1.91, 95% CI = 1.07-3.42, P = .03) in the high RDW group than the low RDW group. No statistic difference was found in gender, N stage, tumor node metastasis stage, vascular invasion, differentiation, and adjuvant therapy between the 2 groups (P > .05). RDW was an independent prognostic factor for both OS and DFS of GC patients. High RDW level were strongly associated with poor survival.

Is red cell distribution width a prognostic factor in patients with breast cancer? A meta-analysis.

The current study aimed to investigate whether red blood cell distribution width (RDW) can predict the prognosis of patients with breast cancer (BC). We searched four databases, including PubMed, Embase, Cochrane Library databases, and CNKI, from inception to Jun 13, 2022. The primary outcome was overall survival (OS), and the secondary outcome was disease-free survival (DFS). A subgroup analysis was conducted based on different treatments. This meta-analysis was performed with RevMan 5.3 (The Cochrane Collaboration, London, United Kingdom). A total of seven studies including 4,884 BC patients were identified. The high RDW group had a larger tumor size (OR = 2.12, 95% CI = 1.67 to 2.68, P < 0.01), higher proportions of advanced stage tumors (OR = 1.77, 95% CI = 1.38 to 2.27, P < 0.01), more lymph node metastases (OR = 2.00, 95% CI = 1.58 to 2.51, P < 0.01) and lower HER-2 expression (OR = 0.76, 95% CI = 0.61 to 0.95, P = 0.02). For prognosis, after pooling all the data, we found that the high RDW group was associated with worse OS (HR = 2.12, 95% CI = 1.47 to 3.08, P < 0.01) and DFS (HR = 1.77, 95% CI = 1.32 to 2.37, P < 0.01). The subgroup analysis found that RDW had prognostic significance but only for surgery-only patients (HR = 2.41, 95% CI = 1.67 to 3.49, P < 0.01). High RDW was associated with worse OS and DFS. Therefore, RDW was a simple predictive factor for the prognosis of BC patients.

RDW as A Predictor for No-Reflow Phenomenon in DM Patients with ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention.

No-reflow phenomenon (NRP) in ST-segment elevation myocardial infarction (STEMI) patients is not infrequent. The predictive value of red blood-cell distribution width (RDW) on NRP has not been explored. STEMI patients undergoing primary percutaneous coronary intervention (pPCI) were enrolled. Plasma samples were obtained at admission. Participants were divided into two groups according to RDW. Logistic regression and receiver operating characteristic (ROC) curve were performed to evaluate the relationship between RDW and NRP. Subgroup analysis was made between the diabetes mellitus (DM) group and the No-DM group. The high RDW group had a higher NRP compared to the low group. In multivariate logistic regression analysis, DM (adjusted odds ratio [AOR]:1.847; 95% confidence interval [CI]: 1.209-2.822; p = 0.005) and hemoglobin (AOR: 0.986; 95% CI: 0.973-0.999; p < 0.05), other than RDW, were independent predictors of NRP. RDW (AOR: 2.679; 95% CI: 1.542-4.655; p < 0.001) was an independent predictor of NRP in the DM group, but not in the No-DM group. In the DM group, area under the ROC curve value for RDW predicting NRP was 0.707 (77.3% sensitivity, 56.3% specificity (p < 0.001)). RDW is a predictor of NRP in DM patients with STEMI, which provides further assistance in clinicians' decision making.

Influence of Red Blood Cell Distribution Width on All-Cause Death in Critical Diabetic Patients with Acute Kidney Injury.

ObjectiveTo explore the relationship between red blood cell distribution width (RDW) and all-cause death in critical diabetic patients with acute kidney injury (AKI).MethodsThe clinical data of critical diabetic patients with AKI in MIMIC-III database were analyzed retrospectively. According to the survival status of 28-day after AKI and levels of RDW, patients were divided into survival and death groups, high RDW (RDW > 15.3%) and low RDW groups (RDW ≤ 15.3%). Kaplan–Meier curves were used to compare the survival rates of diabetic patients with AKI in different RDW and AKI stages, and Cox regression analysis was used to evaluate the risk factors of 28-day all-cause death in critical diabetic patients with AKI.ResultsA total of 5200 patients with critical diabetic patients with AKI were included in this study with the male to female ratio of 1.53:1. The mean follow-up time was 24.97 ± 7.14 days, and the 28-day all-cause mortality was 17.9% (931/5200). Age, RDW, blood urea nitrogen, serum creatinine, lactic acid, proportion of AKI stage, sepsis and respiratory failure in the death group were higher than those in the survival group, while mean arterial pressure (MAP) and red blood cell count were lower than those in the survival group. Kaplan–Meier analysis showed that the 28-day survival rate of the high RDW group was significantly lower than that of the low RDW group (log-rank χ2 = 9.970, P = 0.002). Multivariate Cox regression analysis showed that advanced age (HR = 1.042, 95% CI = 1.021–1.063), decreased MAP (HR = 0.984, 95% CI = 0.969–0.998), stage 3 AKI (HR = 3.318, 95% CI = 1.598–6.890) and increased RDW (HR = 1.255, 95% CI = 1.123–1.403) were independent risk factors of 28-day all-cause death in critical diabetic patients with AKI (P < 0.05).ConclusionHigh level of RDW is an important risk factor of all-cause death in critical diabetic patients with AKI, and it may be used as a valuable index to classify the mortality.

Prognostic significance of pretreatment red blood cell distribution width in primary diffuse large B-cell lymphoma of the central nervous system for 3P medical approaches in multiple cohorts.

Predicting the clinical outcomes of primary diffuse large B-cell lymphoma of the central nervous system (PCNS-DLBCL) to methotrexate-based combination immunochemotherapy treatment in advance and therefore administering the tailored treatment to the individual is consistent with the principle of predictive, preventive, and personalized medicine (PPPM/3PM). The red blood cell distribution width (RDW) has been reported to be associated with the clinical outcomes of multiple cancer. However, its prognostic role in PCNS-DLBCL is yet to be evaluated. Therefore, we aimed to effectively stratify PCNS-DLBCL patients with different prognosis in advance and early identify the patients who were appropriate to methotrexate-based combination immunochemotherapy based on the pretreatment level of RDW and a clinical prognostic model. A prospective-retrospective, multi-cohort study was conducted from 2010 to 2020. We evaluated RDW in 179 patients (retrospective discovery cohorts of Huashan Center and Renji Center and prospective validation cohort of Cancer Center) with PCNS-DLBCL treated with methotrexate-based combination immunochemotherapy. A generalized additive model with locally estimated scatterplot smoothing was used to identify the relationship between pretreatment RDW levels and clinical outcomes. The high vs low risk of RDW combined with MSKCC score was determined by a minimal P-value approach. The clinical outcomes in different groups were then investigated. The pretreatment RDW showed a U-shaped relationship with the risk of overall survival (OS, P = 0.047). The low RDW (< 12.6) and high RDW (> 13.4) groups showed significantly worse OS (P < 0.05) and progression-free survival (PFS; P < 0.05) than the median group (13.4 > RDW > 12.6) in the discovery and validation cohort, respectively. RDW could predict the clinical outcomes successfully. In the discovery cohort, RDW achieved the area under the receiver operating characteristic curve (AUC) of 0.9206 in predicting the clinical outcomes, and the predictive value (AUC = 0.7177) of RDW was verified in the validation cohort. In addition, RDW combined with MSKCC predictive model can distinguish clinical outcomes with the AUC of 0.8348 for OS and 0.8125 for PFS. Compared with the RDW and MSKCC prognosis variables, the RDW combined with MSKCC scores better identified a subgroup of patients with favorable long-term survival in the validation cohort (P < 0.001). RDW combined MSKCC score remained to be independently associated with clinical outcomes by multivariable analysis. Based on the pretreatment RDW and MSKCC scores, a novel predictive tool was established to stratify PCNS-DLBCL patients with different prognosis effectively. The predictive model developed accordingly is promising to judge the response of PCNS-DLBCL to methotrexate-based combination immunochemotherapy treatment. Thus, hematologists and oncologists could tailor and adjust therapeutic modalities by monitoring RDW in a prospective rather than the reactive manner, which could save medical expenditures and is a key concept in 3PM. In brief, RDW combined with MSKCC model could serve as an important tool for predicting the response to different treatment and the clinical outcomes for PCNS-DLBCL, which could conform with the principles of predictive, preventive, and personalized medicine. The online version contains supplementary material available at 10.1007/s13167-022-00290-5.

Red Blood Cell Distribution Width Is Associated With Adverse Kidney Outcomes in Patients With Chronic Kidney Disease.

BackgroundChronic kidney disease (CKD) is a global public health issue. Red blood cell distribution width (RDW) is a recently recognized potential inflammatory marker, which mirrors the variability in erythrocyte volume. Studies indicate that elevated RDW is associated with increased risk of mortality in CKD patients, while evidence regarding the impact of RDW on kidney outcome is limited.MethodsAltogether 523 patients with CKD stage 1–4 from a single center were enrolled. We identified the cutoff point for RDW level using maximally selected log-rank statistics. The time-averaged estimated glomerular filtration rate (eGFR) slope was determined using linear mixed effects models. Rapid CKD progression was defined by an eGFR decline >5 ml/min/1.73 m2/year. The composite endpoints were defined as doubling of serum creatinine, a 30% decline in initial eGFR or incidence of eGFR < 15 ml/min/1.73 m2, whichever occurred first. Multivariable logistic regression or Cox proportional hazards regression was performed, as appropriate.ResultsDuring a median follow-up of 26 [interquartile range (IQR): 12, 36] months, 65 (12.43%) patients suffered a rapid CKD progression and 172 (32.89%) composite kidney events occurred at a rate of 32.3/100 patient-years in the high RDW group, compared with 14.7/100 patient-years of the remainder. The annual eGFR change was clearly steeper in high RDW group {−3.48 [95% confidence interval (CI): −4.84, −2.12] ml/min/1.73 m2/year vs. −1.86 [95% CI: −2.27, −1.45] ml/min/1.73 m2/year among those with RDW of >14.5% and ≤14.5%, respectively, P for between-group difference <0.05}. So was the risk of rapid renal function loss (odds ratio = 6.79, 95% CI: 3.08–14.97) and composite kidney outcomes (hazards ratio = 1.51, 95% CI: 1.02–2.23). The significant association remained consistent in the sensitivity analysis.ConclusionIncreased RDW value is independently associated with accelerated CKD deterioration. Findings of this study suggest RDW be a potential indicator for risk of CKD progression.

The combined clinical impact of red blood cell distribution width and vascular calcification on cardiovascular events and mortality in patients with endstage kidney disease

BackgroundLittle is known about how the interaction between red blood cell distribution width (RDW) and vascular calcification (VC) affects cardiovascular (CV) events and mortality in end-stage kidney disease (ESKD) patients. This study investigated the combined prognostic effect of RDW and VC in ESKD patients starting dialysis.MethodsA retrospective single-center study of 582 ESKD patients was conducted. VC was assessed by calculating the aortic calcification index (ACI) using computed tomography. Patients were divided into low ACI-low RDW, low ACI-high RDW, high ACI-low RDW, and high ACI-high RDW groups based on median ACI (17.12) and RDW (14.3) values. The association between RDW and VC and the composite endpoint of CV events and death was analyzed.ResultsDuring a median follow-up of 3.1 years (range, 1.5–5.5 years), 165 CV events (28.4%) and 124 deaths (21.4%) occurred. Cox regression showed that the low ACI-high RDW (adjusted hazard ratio [HR], 1.66; 95% confidence interval [CI], 1.04–2.66; p = 0.03) and high ACI-low RDW (adjusted HR, 1.95; 95% CI, 1.21–3.14; p = 0.006) groups had a greater risk of CV events and death than the low ACI-low RDW group. The high ACI-high RDW group had the greatest risk (adjusted HR, 2.23; 95% CI, 1.42–3.52; p = 0.001). The effect of the interaction between ACI and RDW on CV events and mortality was statistically significant (p = 0.005).ConclusionHigh RDW and VC interact to increase the risk of CV events and death in ESKD patients.

Determination of Red Blood Cell Distribution Width in Patients with Primary Cutaneous Vasculitis Compared to Systemic Vasculitis

Introduction: Red blood cell distribution width (RDW) has been considered as an inflammatory marker in various disorders. Evaluation of RDW value can also be used as a novel and additional marker for differentiating systemic vasculitis from primary cutaneous vasculitis. Objective: To compare RDW value between patients with cutaneous vasculitis with systemic vasculitis, thereafter to find out it's role as an effective indicator to distinguish both forms of vasculitis. Materials and Methods: This cross sectional observational study was conduct between from July 2016 to December 2017. Total of 48 patients were divided into primary cutaneous vasculitis and systemic vasculitis. Blood was collected in EDTA tube to measure RDW value. Patient’s disease activity also scored and plotted according to Birmingham vasculitis activity score. Statistical analysis was performed by using SPSS. Results: Significantly high mean RDW were found in patients with systemic vasculitis compared to primary cutaneous vasculitis (15.09±0.92 vs. 13.48±1.1, p = 0.000). BVAS was significantly greater (13.93±5.10 vs. 4.87±2.69, p = &lt; 0.001) in systemic vasculitis as well as in patients with high RDW group (11.73±5.71 vs. 5.37±3.96, p = &lt; 0.001). Optimal RDW cut off point for differentiating systemic vasculitis from cutaneous vasculitis was 14.2 with 81.3% sensitivity and 81.2% specificity. Conclusion: Present study revealed importance of RDW monitoring along with disease activity in patients with any form of vasculitis. Systemic vasculitis had higher level of RDW. So RDW can be considered as a marker to discriminate systemic vasculitis from primary cutaneous vasculitis. Medicine Today 2021 Vol.33(2): 84-89

Is red blood cell distribution width an indicator of prognosis and mortality in respiratory intensive care unit?

Objectives: The range of variation of erythrocytes measured as Red blood cell distribution width (RDW). Mortality indicators in patients in intensive care depend on variation of physiological variables. High RDW rates have been commonly associated with heart disease, pulmonary embolism and pulmonary hypertension, peripheral artery disease, heart failure, liver disease and infectious diseases. We aimed in this study to determine the effect of RDW on prognosis and mortality in Chronic Obstructive Pulmonary Disease (COPD) patients in intensive care unit (ICU). Methods: The cases who are treated for COPD in ICU between January 1, 2018 and December 31, 2019 reviewed. Demographic data, Charlson Comorbidite Index (CCI), Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA) scores, procalcitonin, white blood cell, RDW, C-reactive protein, duration of mechanical ventilation, inotrope requirement, length of stay ICU, and 30-day mortality reviewed. Results: Total number of 369 cases are included into the study and divided in two groups according to their RDW values (High RDW and normal RDW group). High RDW group had longer length of stay in ICU and hospital, mechanical ventilation duration, higher APACHE II, CCI, SOFA, white blood cell and procalcitonin values and lower C-reactive protein compared to normal RDW group. First outcome was hospital 30-day mortality in ICU. The age, RDW, inotrope use, MV duration, LOS H, APACHE II, CCI, SOFA, procalcitonin, CRP, HGB and HCT levels were found to be higher in patients with mortality compared those without. With the sensitivity value of 70.9% and the specificity of 47.7%, RDW the cut off value was found to be 16.5. Conclusions: The risk of 30-day mortality, length of stay ICU and hospital and mechanical ventilation duration was higher in COPD patients with high RDW levels.

Red blood cell distribution width predicts residual renal function decline in patients undergoing continuous ambulatory peritoneal dialysis.

To investigate the relationship between red blood cell distribution width (RDW) and residual renal function (RRF) in patients undergoing continuous ambulatory peritoneal dialysis (CAPD). Seventy-seven CAPD patients were enrolled in this study. According to receiver operator characteristic (ROC) curve analysis, patients were divided into high RDW (RDW > 14.95%) and low RDW (RDW ≤ 14.95%) groups. The data of baseline clinical, biochemical parameters, comorbidities, medication status, peritoneal function, and dialysis adequacy were compared. Survival curves were calculated using Kaplan-Meier method. Cox regression model was employed to analyze risk factors of decline in RRF. The overall median survival time was 24 months, the median survival time of high RDW group (46 patients) and low RDW group (31 patients) were 24 and 12 months, respectively. Compared with the low RDW group, patients in the high RDW group were older, higher rate of decline RRF and white blood cells count as well as lower total Kt/V (all p < 0.05). Kaplan-Meier survival curves showed that the low RDW group had higher survival of RRF compared with the high RDW group (p < 0.001). Multivariate Cox regression analysis showed that high RDW was independent risk factor for decline of RRF(hazard ratio=1.441, 95% confidence interval: 1.089-1.905, p=0.01). Increased baseline RDW is associated with decline of RRF in CAPD patients and RDW can be stratified as a valuable indicator for the risk of RRF decline.

Predictive value of red blood cell distribution width in critically ill patients with atrial fibrillation: a retrospective cohort study.

Atrial fibrillation (AF) is a leading cause of morbidity and mortality among elderly patients especially for patients in ICU. Previous studies revealed the impact of red blood cell distribution width (RDW) on predicting onset of AF. However, the prognostic value of RDW in critically ill patients with AF remains largely unknown. Thus, this study aims to explore the potential value on predicting in- and out-of-hospital mortality in critically ill patients with AF. Data were extracted from the Medical Information Mart for Intensive Care (MIMIC) III database and 7,867 critically ill patients with AF were enrolled. The association between RDW and inhospital mortality was evaluated using the multiple logistic regression analysis as a design variable. Shortand long-term outcomes were compared between the low RDW and high RDW groups in critically ill patients balanced by the propensity score matching (PSM) algorithm. Analysis of the 7,867 patients revealed a linear relationship between RDW and in-hospital mortality. For critically ill patients with AF, the elevated level of RDW was associated with increased inhospital mortality, with the OR increasing from level 2 (OR: 1.75, 95% CI: 1.25 to 2.44) to level 5 (OR: 3.89, 95% CI: 2.55 to 5.93) with level 1 (RDW ≤13) as the reference group. 3841 enrolled patients with records in the CareVue systems were selected by PSM algorithm. The baseline characters were well balanced in 1,054 pairs of enrolled patients. A significant lower survival rate was observed in the high RDW group (P<0.001). High levels of RDW are associated with increased in- and out-of-hospital mortality in critically ill patients with AF.

Red Blood Cell Distribution Width Is a Predictive Factor of Anthracycline-Induced Cardiotoxicity.

Background: Red blood cell distribution width (RDW) is associated with prognosis in widespread cardiovascular fields, but little is known about relationship with the onset of cancer therapeutics-related cardiac dysfunction (CTRCD).Objectives: The purpose of this study was to assess whether RDW could predict the onset of CTRCD by anthracycline.Methods: Consequential 202 cancer patients planed for anthracycline treatment were enrolled and followed up for 12 months. The patients were divided into 2 groups based on the median value of baseline RDW before chemotherapy [low RDW group, n = 98, 13.0 [12.6–13.2]; high RDW group, n = 104, 14.9 [13.9–17.0]]. Cardiac function was assessed serially by echocardiography at baseline (before chemotherapy), as well as at 3, 6, and 12 months after chemotherapy with anthracycline.Results: Baseline left ventricular end systolic volume index and ejection fraction (EF) were similar between two groups. After chemotherapy, EF decreased at 3- and 6-month in the high RDW group [baseline, 64.5% [61.9–68.9%]; 3-month, 62.6% [60.4–66.9%]; 6-month, 63.9% [60.0–67.9%]; 12-month, 64.7% [60.8–67.0%], P = 0.04], but no change was observed in low RDW group. The occurrence of CTRCD was higher in high RDW group than in low RDW group (11.5 vs. 2.0%, P = 0.008). When we set the cut-off value of RDW at 13.8, sensitivity and specificity to predict CTRCD were 84.6 and 62.0%, respectively. Multivariable logistic regression analysis revealed that baseline RDW value was an independent predictor of the development of CTRCD [odds ratio 1.390, 95% CI [1.09–1.78], P = 0.008]. The value of net reclassification index (NRI) and integrated discrimination improvement (IDI) for detecting CTRCD reached statistical significance when baseline RDW value was added to the regression model including known risk factors such as cumulative anthracycline dose, EF, albumin, and the presence of hypertension; 0.9252 (95%CI 0.4103–1.4402, P < 0.001) for NRI and 0.1125 (95%CI 0.0078–0.2171, P = 0.035) for IDI.Conclusions: Baseline RDW is a novel parameter to predict anthracycline-induced CTRCD.

The predictive value of RDW in AKI and mortality in patients with traumatic brain injury.

BackgroundRed blood cell distribution width (RDW) has been validated valuable in predicting outcome and acute kidney injury (AKI) in several clinical settings. The aim of this study was to explore whether RDW is associated with outcome and AKI in patients with traumatic brain injury (TBI).MethodsPatients admitted to our hospital for TBI from January 2015 to August 2018 were included in this study. Multivariate logistic regression analysis was performed to identify risk factors of AKI and outcome in patients with TBI. The value of RDW in predicting AKI and outcome was evaluated by receiver operating characteristic (ROC) curve.ResultsThree hundred and eighteen patients were included in this study. The median of RDW was 14.25%. We divided subjects into two groups based on the median and compared difference of variables between two groups. The incidence of AKI and mortality was higher in high RDW (RDW > 14.25) group (31.45% vs 9.43%, P < .001; 69.81% vs 29.56%, P < .001). Spearman's method showed RDW was moderately associated with 90‐day Glasgow Outcome Scale (GOS) (P < .001). In multivariate logistic regression analysis, RDW, lymphocyte, chlorine, and serum creatinine were risk factors of AKI. And Glasgow Coma Scale (GCS), glucose, chlorine, AKI, and RDW were risk factors of mortality. The area under the ROC curve (AUC) of RDW for predicting AKI and mortality was 0.724 (0.662‐0.786) and 0.754 (0.701‐0.807), respectively. Patients with higher RDW were likely to have shorter median survival time (58 vs 70, P < .001).ConclusionsRed blood cell distribution width is an independent risk factor of AKI and mortality in patients with TBI.

Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study

Acute kidney injury (AKI) is a serious complication in the intensive care unit (ICU), which may increase the mortality of critically ill patients. The red blood cell distribution width (RDW) has proved useful as a predictor of short-term prognosis in critically ill patients with AKI. However, it remains unknown whether RDW has a prognostic value of long-term all-cause mortality in these patients. The data of 18279 critically ill patients with AKI at first-time hospital admission were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The tertiles of the RDW values were used to divide subjects into three groups, namely RDW < 13.6% for the low RDW group, 13.6% ≤ RDW < 15.2% for the middle RDW group and RDW ≥ 15.2% for the high RDW group. Demographic data, mortality, 4-year survival time and severity scale scores were compared among groups. The Kaplan-Meier analysis and the Cox regression analysis were performed to assess the impact of RDW on all-cause mortality in AKI patients. The receiver operating characteristic (ROC) curve analysis was done to evaluate the prognostic value of RDW on the long-term outcome of critically ill patients with AKI. The median age of the enrolled subjects was 65.6 years. AKI patients with a higher RDW value had significantly shorter survival time and higher death rate. By the Kaplan-Meier analysis, patients in the higher RDW group presented significantly shorter survival time and higher death rate. The Cox regression model indicated RDW as an independent risk factor of all-cause mortality of AKI patients (HR 1.219, 95% CI, 1.211 to 1.228). By the ROC analysis, RDW appeared more efficient in predicting long-term prognosis as compared with conventional severity scales. The AUC of RDW (95% CI, 0.712 to 0.725) was significantly higher than other severity scale scores. In conclusion, RDW is positively correlated to survival time of 4-year follow-up in critically ill patients with AKI, and RDW is an independent prognostic factor of long-term outcomes of these patients.

Value of Red Blood Cell Distribution Width and Fibrinogen Level for Evaluation of the Therapeutic Efficacy and Prognosis in Patients with Diffuse Large B-Cell Lymphoma

To investigate the value of red blood cell distribution width (RDW) and fibrinogen (Fib) level for the evaluation of therapeutic efficacy and prognosis in patients with diffuse large B-cell lymphoma (DLBCL).The relationship between RDW/Fib at initial diagnosis and efficacy and the clinical outcome was retro-spectively analyzed based on the study of 105 patients with DLBCL. The patients were divided into two groups: low RDW group (≤15%) and high RDW group (>15%), low Fib group (Fib≤4 g/L) and high Fib group (Fib>4 g/L) according to the normal values of RDW and Fib. Therapeutic efficacy, overall survival (OS) time and progression free survival (PFS) time were compared between two groups. The correlation between each factors and efficacy, prognosis was analyzed by univariate and multivariate regression.The therapeutic efficacy (P<0.001), OS time(P=0.004), and PFS time(P=0.007) were poorer in the high RDW group as compared with the low RDW group. The efficacy (P=0.015) and PFS time(P=0.04) were poorer in the high Fib group as compared with the low Fib group. Multivariate analysis showed that high RDW was the independent risk factor for efficacy of DLBCL patients (OR=3.394, 95% CI 1.093-10.539, P=0.035).High RDW and high Fib associate with poor efficacy in DLBCL patients.红细胞分布宽度和纤维蛋白原水平对判断弥漫大B细胞淋巴瘤患者疗效及预后的价值.探讨红细胞分布宽度（Red cell distribution width, RDW）和纤维蛋白原（Fibrinogen, Fib）在弥漫大B细胞淋巴瘤（DLBCL）患者疗效及预后中的价值.回顾性分析105例DLBCL患者初诊时的RDW、Fib与临床特征及转归的关系，根据RDW、Fib正常值将患者分为低RDW组（≤15％）和高RDW组（＞15％）、低Fib组（Fib≤4 g/L）和高Fib组（Fib ＞4 g/L），比较2组患者疗效、总生存期（overall survival, OS）及疾病无进展生存期（progression free survival, PFS），单因素和多因素回归分析各指标与疗效及预后的关系.高RDW与低RDW组相比，高RDW组疗效（P＜0.001）、OS（P=0.004）和PFS（P=0.007）均较差；高Fib组与低Fib组相比，高Fib组疗效（P=0.015）和PFS（P=0.04）较差；多因素分析显示，高RDW是影响DLBCL患者疗效的独立危险因素(OR=3394,95%CI 1.093-10.539,P=0.035).高RDW、高Fib与DLBCL患者较差的疗效及不良预后相关.

High red blood cell distribution width is closely associated with in-stent restenosis in patients with unstable angina pectoris

BackgroundIn-stent restenosis remains an unresolved issue. Inflammation plays a pivotal role in the process of in-stent restenosis. Significant and positive associations were found between red blood cell distribution width (RDW) and inflammation. But whether there is a close relationship between higher RDW and in-stent restenosis is still not clarified.MethodsThis retrospective observational study investigated 214 consecutive patients with unstable angina pectoris who underwent successful percutaneous coronary interventions with drug-eluting stents. Patients were divided into three groups according to baseline RDW before percutaneous coronary interventions (low RDW group:≤12.5%; intermediate RDW group:> 12.5% and ≤ 13.5%; high RDW group:> 13.5%). The follow-up angiographies were routinely performed 9–12 months after the initial percutaneous coronary interventions. The multivariate logistic regression analysis was employed to determine the independent predictors of in-stent restenosis.ResultsThe in-stent restenosis rate was significantly higher in group with higher baseline RDW value (12.3, 19.7, 47.7% in low, intermediate, and high RDW groups respectively, P < 0.001). The baseline RDWs were significantly higher in patients with in-stent restenosis compared with those in patients without in-stent restenosis (13.7 ± 0.8% vs. 13.0 ± 0.8%, P < 0.001). For prediction of in-stent restenosis, the ROC (receiver operating characteristic) curve analysis demonstrated the optimal RDW cutoff value was 13.37 (sensitivity: 65.5%, specificity: 73.6%); the diagnosis cutoff value was 13.89 (sensitivity: 40.0%, specificity: 91.8%); the screening cutoff value was 12.99 (sensitivity: 83.6%, specificity: 49.1%). By multivariate logistic analysis, higher baseline RDW (odds ratio [OR], 5.179; 95% confidence interval [CI], 2.568 to 10.446; P<0.001) together with lower baseline indirect bilirubin (OR, 0.413; 95% CI, 0.305 to 0.559; P<0.001) and diabetes (OR, 4.077; 95% CI, 1.654 to 10.054; P = 0.002) were closely associated with in-stent restenosis at followup (11.1 ± 5.8 months).ConclusionsThe baseline RDW was closely associated with in-stent restenosis at follow-up. The patients with higher baseline RDW might have more chances to develop in-stent restenosis at followup.

Relationship between red cell distribution width and prognosis in patients with breast cancer after operation: a retrospective cohort study.

We retrospectively enrolled 825 breast cancer patients, who was primarily diagnosed in our hospital between January 2009 and December 2014 and explored the relationship between red blood cell distribution width (RDW) and long-term prognosis in patients with breast cancer. There were 412 patients with high RDW (RDW > 13.82) and 413 patients with low RDW (RDW ≤ 13.82). Compared with low RDW group, the high w group has large tumor size (the rate of tumor size >2 cm: 60.7 vs 44.8%, P=0.013). The rate of lymph node metastases was higher in the high RDW group thaten that in the low RDW group (62.1 vs 45.8%, P=0.000). RDW was positively associated with tumor stage. The high RDW tended to be advanced stage (P=0.000). Compared with low RDW group, the high RDW group tended to be higher lymphocyte count (P=0.004), elevated fibrinogen (P=0.043), and elevated high-sensitivity C-reactive protein (P=0.000). The Kaplan–Meier analysis indicated elevated RDW was positively associated with disease-free survival (DFS) (P=0.004) and overall survival (OS) (P=0.011). The multivariate Cox regression analysis indicated that the high RDW group had poorer OS (Hazard risk [HR] = 2.43; 95% CI: 1.62–3.21; P=0.024) and DFS (HR = 1.89; 95% CI: 1.28–3.62; P=0.000) compared with low RDW group. The present study found that high pretreatment RDW levels in breast cancer patients were associated with poor OS and DFS. RDW could be a potential predictive factor in differential diagnosis of poor prognosis from all patients.

Red blood cell distribution width as long-term prognostic markers in patients with coronary artery disease undergoing percutaneous coronary intervention

BackgroundThe aim of this study was to assess the prognostic value of red blood cell distribution width (RDW) in patients with coronary artery disease undergoing percutaneous coronary intervention (PCI).MethodsA retrospective cohort study (CORFCHD-PCI, [Identifier: ChiCTR-INR-16010153]) of 6050 patients who were hospitalized with a diagnosis of coronary artery disease (CAD) and treated with PCI from January 2008 to December 2016 were enrolled in the study. The primary outcome was long-term mortality after PCI. Clinical follow-up data of participating patients were obtained during an outpatient examination 35.9 ± 22.6 months after PCI. Demographic and clinical data and admission laboratory parameters were recorded, and patients were categorized into two groups according to RDW level (high group ≥13.1%; low group < 13.1%).ResultsMultivariate Cox regression analysis revealed RDW as an independent prognosis factor for cardiac death. The incidence of cardiac death increased 1.33 times in patients in the high RDW group (HR, 1.331; 95% CI, 1.009–1.755, P = 0.043). Kaplan–Meier survival analysis suggested that patients with high RDW tended to have an increased accumulated risk of cardiac death. However, we did not found significant differences in the incidence of long-term mortality (adjusted HR = 1.203[0.941–1.537], P = 0.140), MACCE (adjusted HR = 1.128[0.979–1.301], P = 0.096), MACE (adjusted HR = 1.155[0.994–1.341], P = 0.059), stroke, bleeding events or readmission between the two groups.ConclusionThe baseline level of RDW is an independent predictor for cardiac death in post-PCI CAD patients.