Red Blood Cell Distribution Width Values Research Articles

Mortality predictors on the day of healthcare-associated Acinetobacter baumanni bacteremia in intensive care unit.

Mortality of healthcare-associated Acinetobacter baumannii bacteremia can be 50-60% in intensive care units (ICUs). We aimed to determine the risk factors for 28-day mortality in patients with sepsis due to A. baumannii bacteremia during their ICU follow-up. Demographic characteristics, disease severity scores on admission and bacteremia day (BD), resistance status, invasive interventions, and laboratory values showing the infection and severity of the BD, were compared between groups with and without mortality as a retrospective cohort study in the ICU of a tertiary hospital. Of a total of 2411 patients, there were 192 cases of bacteremia. After applying the exclusion criteria, 39 patients were recruited for the study, 25 of whom died (mortality rate 64.1%). Higher age, Simplified Acute Physiology Score II (SAPS II) on admission and high Sequential Organ Failure Assessment Score (SOFA), Red Blood Cell Distribution Width (RDW) (p < 0.001), and C-Reactive Protein (CRP) (p = 0.002) on the BD and invasive intervention in follow-up were associated with mortality. When CRP and RDW were both positive, sensitivity was 72%, specificity was 100%, negative predictive value was 33%, and positive predictive value was 100% for the 28-day mortality after BD. Based on multivariate analysis, CRP and RDW values on the BD were independent risk factors for mortality. It is critical to monitor SOFA, RDW, and CRP values in older ICU patients with SAPS II scores and who undergo invasive intervention in follow-up. Increases in these parameters may indicate bacteremia with high mortality due to A. baumannii.

Risk factors for postoperative pulmonary complications in elderly patients receiving elective colorectal surgery: A retrospective study.

Study objectivePostoperative pulmonary complications (PPCs) are common and associated with adverse outcomes impairing long-term survival and quality of recovery. This single-centered retrospective study aimed to examine factors associated with PPCs in patients receiving elective colorectal surgery aged ≥60 years.MethodsBetween January 2019 and December 2019, 638 patients at the Shanghai Changhai Hospital who had received elective surgery for colorectal cancer were enrolled in this study. Patients were divided into the PPC group (n=38) and non-PPC group (n=600). Neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), red blood cell distribution width (RDW), and systemic inflammatory index (SII) were selected and caculated to indicate preoperative and postoperative inflammatory status. Receiver operating characteristic curve and bivariate correlation analyses were performed to evaluate the identified risk factors.Main resultsThe overall incidence of PPCs was approximately 5.96%. Multivariate regression analysis identified age (OR = 1.094, 95%CI 1.038–1.153, P = 0.001), preoperative RDW (OR = 1.159, 95%CI 1.025–1.309, P = 0.018), and preoperative SII (OR = 1.001, 95%CI 1.000–1.003, P = 0.035) as independent risk factors for PPCs. The cut-off values of age, preoperative RDW, and preoperative SII for predicting PPCs were 69.5 (sensitivity 0.658, specificity 0.653), 13.2 (sensitivity 0.789, specificity 0.552) and 556.1 (sensitivity 0.579, specificity 0.672), respectively.ConclusionsAge, preoperative RDW, and preoperative SII were identified as independent risk factors for PPC occurrence in elderly patients receiving elective colorectal surgery. Further studies are warranted to evaluate whether normalization of preoperative RDW and SII, as modifiable risk factors, are associated with improved surgical outcomes.

Elevated red cell distribution width predicts residual dizziness in patients with benign paroxysmal positional vertigo.

ObjectiveThe present study aimed to determine whether residual dizziness (RD) after successful repositioning treatment in benign paroxysmal positional vertigo (BPPV) patients could be predicted by red blood cell distribution width (RDW).Materials and methodsIn this study, a total of 303 BBPV patients hospitalized at the neurology department were investigated. The enrolled patients were divided into two groups after successful repositioning treatment: non-RD group included patients who were completely cured, and RD group included patients with RD. We collected data on all subjects, including general information, blood routine examination, blood biochemical examination, and magnetic resonance imaging tests.ResultsThe mean RDW values of patients in the RD group were significantly higher than that in the non-RD group (13.63 ± 1.8 vs. 12.5 ± 0.8; p < 0.001). In subsequent multivariate analysis, elevated RDW levels were a statistically significant risk factor associated with the occurrence of RD [odds ratio = 2.62, 95% confidence interval (CI) 1.88–3.64, p < 0.001]. The area under the ROC curve was 0.723 in terms of its predictive ability to distinguish patients with RD. A cut-off point of 12.95% of RDW predicted RD with a sensitivity of 75.6% and a specificity of 69.5%. Moreover, the AUC for the ability of the RDW to predict recurrence were 0.692 (95% CI = 0.561–0.831; p < 0.014).ConclusionsElevated RDW level was related to increased risk of RD among BPPV patients, requiring further efforts to clarify the actual underlying pathophysiology.

Red blood cell distribution width and Charlson comorbidity index help to identify frail polytraumatized patients : Experiences from alevelI trauma center.

Little is known about the potential impact of the red blood cell distribution width (RDW) and pre-existing comorbidities on the late-phase survival of polytraumatized patients. A total of 173 polytraumatized patients were included retrospectively in this cohort study in alevelI trauma center from January 2012 to December 2015. The Charlson comorbidity index (CCI) scores and RDW values were evaluated. Out of all polytraumatized patients (n = 173), 72.8% (n = 126) were male, the mean ISS was 31.7points (range 17-75) and the mean age was 45.1years (range 18-93years). Significantly higher RDW values (13.90vs. 13.37; p = 0.006) and higher CCI scores (3.38 vs. 0.49; p < 0.001) were seen in elderly polytraumatized patients (age > 55years). RDW values > 13.75% (p = 0.033) and CCI scores > 2points (p = 0.001) were found to have asignificant influence on the late-phase survival of polytraumatized patients. Age > 55years (p = 0.009, HR 0.312; 95% confidence interval (CI) 0.130-0.749) and the presence of severe traumatic brain injury (TBI) (p = 0.007; HR 0.185; 95% CI 0.054-0.635) remained as independent prognostic factors on the late-phase survival after multivariate analysis. Even younger elderly polytraumatized patients (> 55years of age) showed significant higher RDW values and higher CCI scores. In addition to the presence of severe TBI and age > 55years, RDW value > 13.75% on admission and CCI score > 2 might help to identify the "younger" frail polytraumatized patient at risk.

Red Blood Cell Distribution Width and Pediatric Community-Acquired Pneumonia Disease Severity.

No standardized risk assessment tool exists for community-acquired pneumonia (CAP) in children. This study aims to investigate the association between red blood cell distribution width (RDW) and pediatric CAP. Data prospectively collected by the Etiology of Pneumonia in the Community study (2010-2012) was used. Study population was pediatric patients admitted to tertiary care hospitals in Nashville and Memphis, Tennessee with clinically and radiographically confirmed CAP. The earliest measured RDW value on admission was used, in quintiles and also as a continuous variable. Outcomes analyzed were: severe CAP (requiring ICU, mechanical ventilation, vasopressor support, or death) or moderate CAP (hospital admission only). Analysis used multivariable logistic regression and restricted cubic splines modeling. In 1459 eligible children, the median age was 29 months (interquartile range: 12-73), median RDW was 13.3% (interquartile range: 12.5-14.3), and 289 patients (19.8%) developed severe disease. In comparison with the lowest RDW quintile (Q1), the adjusted odds ratio (95% CI) for severe CAP in subsequent quintiles were, Q2: 1.20 (0.72-1.99); Q3: 1.28 (0.76-2.14); Q4: 1.69 (1.01-2.82); Q5: 1.25 (0.73-2.13). Consistently, RDW restricted cubic splines demonstrated an independent, nonlinear, positive association with CAP severity (P = .027), with rapid increases in the risk of severe CAP with RDW values up to 15%. Higher presenting RDW was associated with an increased risk of severe CAP in hospitalized children. Widely available and inexpensive, RDW can serve as an objective data point to help with clinical assessments.

Red blood cell distribution width as a marker of hyperinflammation and mortality in COVID-19.

Red blood cell distribution width (RDW) could reflect interleukin-6 (IL-6) systemic activity since anisocytosis represents the inhibition of erythropoiesis, leaded by the hyperinflammatory background. Our objective was to analyze RDW performance to predict outcome in coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS). Retrospective observational study including 173 patients with COVID-19-associated ARDS. Data was analyzed at hospital admission, inclusion in the TOCICOV Study (day 0), days 1, 3, 7 and 15 post-inclusion. Overall, 57% patients received tocilizumab. Overall mortality was 20.8%. RDW was higher in non-survivors compared to survivors at admission (13.53% vs. 14.35, P=0.0016), day 0 (13.60% vs. 14.42, P=0.026), day 3 (13.43% vs. 14.36, P<0.001) and day 7 (13.41% vs. 14.31, P=0.046), presenting better discrimination ability for mortality than other prognostic markers [area under the curve-receiver operating characteristic (AUC-ROC) =0.668 for admission RDW, 0.680 for day 0 RDW, 0.695 for day 3 RDW and 0.666 for day 7 RDW]. RDW values did not vary significantly according to tocilizumab treatment. When adjusted by hemoglobin and tocilizumab treatment, only RDW at admission, day 0, day 3 and C reactive protein (CRP) at day 0 and day 1 were associated with mortality (P<0.05). Only in non-tocilizumab treated patients, IL-6 levels at day 0 were correlated with day 3 RDW (r=0.733, P=0.004) and with day 3 CRP (r=0.727, P=0.022). Both parameters showed significant statistical correlation (r=0.255 for day 1 RDW and CRP in the overall cohort and r=0.358 for day 3 RDW and CRP in patients not treated with tocilizumab, P<0.015). RDW predicts COVID-19-associated ARDS mortality and reflects the hyperinflammatory background and the effects of cytokines such as IL-6, irrespective of tocilizumab treatment.

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.

Preoperative red blood cell distribution width as an independent prognostic factor in metastatic renal cell carcinoma

ObjectiveThis study aimed to explore the prognostic value of preoperative red blood cell distribution width (RDW) in patients with metastatic renal cell carcinoma (mRCC). MethodsClinicopathological data of 230 patients with mRCC treated at the First Affiliated Hospital of Chongqing Medical University and the Chinese PLA General Hospital from January 2008 to December 2018 were retrospectively analyzed. Patients were stratified according to the optimal cut-off value of RDW calculated using X-tile software. The prognostic value of RDW was analyzed using the Kaplan-Meier curve with log-rank test and univariate and multivariate Cox proportional hazards models. ResultsA total of 230 patients were included. The optimal cut-off value of RDW obtained using X-tile software was 13.1%. The median Progression-free survival (PFS) and Overall survival (OS) of all populations were 12.06 months (IQR: 4.73–36.9) and 32.20 months (IQR: 13.73–69.46), respectively. Kaplan–Meier curves showed that patients with high RDW had worse PFS and OS than those with low RDW (median PFS of 9.7 months vs. 17.9 months, P = 0.002, and median OS of 27.8 months vs. 45.1 months, P = 0.012, respectively). Multivariate analysis showed that RDW was an independent risk factor for PFS (HR: 1.505; 95% CI: 1.111–2.037; P = 0.008) and OS (HR: 1.626; 95% CI: 1.164–2.272; P = 0.004) in mRCC after cytoreductive nephrectomy. ConclusionPreoperative RDW was independently associated with PFS and OS in patients with mRCC and may be a potential predictor of survival outcomes in mRCC.

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.

Prognostic value of RDW alone and in combination with NT-proBNP in patients with heart failure.

BackgroundRed blood cell distribution width (RDW) and N‐terminal pro brain natriuretic peptide (NT‐proBNP) may predict the prognosis of heart failure (HF). However, the impact of combined RDW and NT‐proBNP levels as a prognostic marker of HF remains unclear and the significance of this combination at various time‐points has not been sufficiently studied.HypothesisRDW can predict prognosis in HF at various time‐points and combination with NT‐proBNP improves the prognostic value.MethodsPatients admitted to HF care unit of Fuwai Hospital CAMS&PUMC (Beijing, China) with a diagnosis of HF from November 2008 to November 2018 were analyzed retrospectively.ResultsIn total, 3231 patients with available RDW data at admission were evaluated (median age 58 years, 71.9% males, 39.7% coronary heart disease, 68.6% New York Heart Association [NYHA] III or IV). Median RDW and NT‐proBNP at admission were 13.4% (interquartile range [IQR]: 12.7%–14.5%), and 1723.00 pg/ml (IQR: 754.00–4006.25 pg/ml), respectively. During 2.9‐year median follow‐up, all‐cause death occurred in 1075 (33.27%) patients. Kaplan–Meier survival curve and Cox proportional‐hazard models, showed patients in the top quarter RDW had a 32.0% increased mortality compared to the bottom quarter (hazard ratio: 4.39, 95% confidence interval: 3.59–5.38; p <.001). The top quarter RDW retained independent prognostic value across HF with reduced ejection fraction [HFrEF], HF with mid‐range ejection fraction [HFmrEF], and HF with preserved ejection fraction [HFpEF] subgroups. Patients were subsequently divided into four groups by median RDW and NT‐proBNP. Comparison of Kaplan–Meier survival curves for various groups showed good risk stratification (p < .001).ConclusionsRDW is an independent predictor of mortality among patients with HF in the short‐, medium‐, and long‐term. Combination of RDW and NT‐proBNP improves the prognostic value. This is true across all clinical subtypes of heart failure (HFrEF, HFmrEF, HFpEF), and among most subgroups of patients with various comorbidities (infection, diabetes, hypertension).

Red blood cell distribution width as a novel marker for predicting bleeding after endoscopic resection for early gastric cancer.

ObjectivesEndoscopic resection (ER) is a minimally invasive treatment for early gastric cancer (EGC); however, there is a high occurrence of bleeding. This study aimed to clarify the significance of red blood cell distribution width (RDW) as a predictive risk factor for bleeding after ER for EGC.MethodsWe conducted a retrospective study based on data for patients who underwent ER for EGC from 2019 to 2021. This study included 79 lesions in 54 patients who underwent ER for EGC. The primary outcome was the association between RDW before ER and bleeding within 28 days of treatment. Receiver operating characteristic (ROC) curves were constructed, wherein areas under the curve (AUCs) and 95% confidence intervals were calculated to compare the discriminatory power of RDW for predicting bleeding.ResultsEndoscopic submucosal dissection was used as the resection method for 73 lesions, whereas endoscopic mucosal resection was used for six lesions. En bloc resection was performed in all cases. There were no cases of perforation; however, bleeding after ER occurred in five cases (9.3%). ROC curve analysis of bleeding after ER showed that the AUC was 0.843 with a good diagnostic performance. When the cut‐off value of RDW was set at 14.4%, sensitivity and specificity were 80% and 85.7%, respectively. There was a bleeding rate of 36.4% (4/11) at an RDW of ≥14.4%, which was significantly higher than that of 2.3% (1/43) at an RDW of <14.4%.ConclusionRDW can be a predictor of bleeding risk after ER for EGC.

Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack

Objective Predicting the prognosis of transient ischaemic attack (TIA) is difficult for many frontline clinicians. The purpose of this study was to determine whether subsequent stroke in TIA patients can be predicted via red blood cell distribution width (RDW). Material and methods A total of 360 consecutive patients with new-onset TIA in our stroke centre, were enrolled over the period studied. The patients were divided into three groups: 103 TIA patients, 206 ischaemic stroke (IS) patients and 51 patients with haemorrhagic stroke (HS) within 7 days after TIA. Complete blood count, biochemical parameters and brain imaging were performed on all patients. Results The mean RDW values of patients with IS and HS after TIA were significantly higher than patients with TIA (13.35 ± 1.59 vs 12.84 ± 1.19, 13.32 ± 1.08 vs 12.84 ± 1.19, respectively, all p ≤ .001). In a multivariate model, RDW was independently associated with stroke after TIA (IS: odds ratio (OR) = 2.52, 95% confidence interval (CI) = 1.46–3.35, p = .002; HS: OR = 1.511, 95% CI = 1.101–2.074, p = .011). Compared to ABCD2 scores, the diagnostic power of RDW in the differentiation of patients with IS after TIA was better (area under curve (AUC): 0.731 vs 0.613, p = .015). When an RDW cut-off value of 13.95% was accepted for differentiating patients with IS from TIA, the sensitivity and specificity were 73.7% and 74.3%, respectively. However, the AUC for the ability of the RDW to predict HS was 0.653 (95% CI = 0.589–0.716; p < .001). Conclusions The early determination of RDW is a promising, rapid, easy and inexpensive biomarker to predict the subsequent stroke in TIA patients, especially for IS. KEY MESSAGES The most important result of our study is to show that (1) the higher RDW, the earlier the stroke onset and (2) RDW ≥13.95% has a 2.52-fold risk of ischaemic stroke in TIA patients, and RDW ≥12.85% has a 1.51-fold risk of haemorrhagic stroke. As an economic and accessible hematological marker, baseline RDW may serve as a useful biomarker for risk stratification in TIA patients.

Platelet Parameters, Neutrophil–Lymphocyte Ratio, Platelet Lymphocyte Ratio, Red Cell Distribution Width

Background: Psoriasis has a multifactorial pathogenesis encompassing genetic, environmental, and immunological factors. There is a dire need for specific, cost effective, reliable, and universally accepted laboratory marker as indicator of severity of psoriasis. MATERIALS AND METHODS: A cross-sectional study was conducted on 50 psoriasis patients and 50 healthy controls. Hematological parameters including platelet indices (platelet count [PC], plateletcrit, mean platelet volume [MPV], platelet large cell ratio, platelet distribution width [PDW]), neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), and red blood cell distribution width (RDW) were evaluated and correlation of these indices among themselves and with Psoriasis Area and Severity Index (PASI) analyzed. Statistical analyses were performed using SPSS version 19.0 (SPSS Inc., Chicago, IL, USA). RESULTS: A statistically significant difference in RDW, PC, MPV, PDW, NLR, and PLR was observed between psoriasis versus controls and mild versus moderate to severe psoriasis. There was a significant positive correlation between PASI and RDW, MPV, platelets, PLR while erythrocyte sedimentation rate showed a significant correlation with MPV. MPV and RDW, RDW and NLR, and RDW and PLR were also found to be correlated. MPV showed highest sensitivity and specificity both. MPV (area under the curve: 0.970, P &lt; 0.001) demonstrated better predictive power as per area under curve of receiver-operator curve as compared to other parameters for psoriasis. CONCLUSION: The present study assessed the role of simple and low-cost parameters easily computed from routine tests like complete blood count as biomarkers for severity of psoriasis. Mean values of MPV, RDW, NLR, and PLR were found to be higher in psoriasis patients compared to controls. Moreover, a significant correlation was observed between PASI and these novel markers. However, additional large-scale, multicenter studies need to be conducted before application of these parameters in clinical practice.

Red Blood Cell Distribution Width in Heart Failure: Pathophysiology, Prognostic Role, Controversies and Dilemmas

Red blood cell distribution width (RDW), an integral parameter of the complete blood count (CBC), has been traditionally used for the classification of several types of anemia. However, over the last decade RDW has been associated with outcome in patients with several cardiovascular diseases including heart failure. The role of RDW in acute, chronic and advanced heart failure is the focus of the present work. Several pathophysiological mechanisms of RDW’s increase in heart failure have been proposed (i.e., inflammation, oxidative stress, adrenergic stimulation, undernutrition, ineffective erythropoiesis, reduced iron mobilization, etc.); however, the exact mechanism remains unknown. Although high RDW values at admission and discharge have been associated with adverse prognosis in hospitalized heart failure patients, the prognostic role of in-hospital RDW changes (ΔRDW) remains debatable. RDW has been incorporated in recent heart failure prognostic models. Utilizing RDW as a treatment target in heart failure may be a promising area of research.

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.

Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders

ObjectivePlatelets are increasingly considered to play an important role in inflammation and are being regarded as a putative bridge linking mental diseases and inflammatory response. Platelet-associated haematological parameters including mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), systemic immune-inflammation index (SII), platelet to lymphocyte ratio (PLR), platelet to albumin ratio (PAR) and red blood cell distribution width (RDW) to platelet ratio (RPR), have been recently investigated as simple, easily available, and inexpensive inflammatory markers. In this study, we aimed is to use large-scale clinical data to study platelet parameters in patients with affective disorders, to further investigate the predictive power of platelet parameters for major depressive disorder (MDD) and bipolar disorder (BD).MethodsThe retrospective, naturalistic, cross-sectional study analysed the data of 14,007 Chinese affective disorder patients, including 4,801 patients with first-episode MDD, 4,098 patients with recurrent MDD, 3,444 patients with BD manic episodes and 1,664 patients with BD depressive episodes. Meanwhile, 6,847 healthy subjects were served as the control group. The differences in the MPV, PDW, PCT, SII, PLR, PAR, RPR and albumin among different groups were compared, and the contributing factors for the occurrence of MDD or BD were analysed.ResultsThere were significant differences in MPV, PDW, PCT, SII, PLR, RPR and albumin values among the study groups. In the subjects, patients experiencing BD manic episodes had the highest mean values of MPV and SII, patients experiencing BD depressive episodes had the lowest mean values of platelet counts and PAR, and patients with MDD had the highest mean values of PLR and RDW. The levels of MPV, PDW and albumin were independently correlated with MDD and BD, and they are important predictors for differentiating patients with MDD or BD from healthy controls.ConclusionsOur study demonstrated that different affective disorders have unique platelet parameter variation patterns, highlighting the role of platelet parameters and systemic inflammation in the pathophysiology of MDD and BD.

Comparison of mean platelet volume (MPV) and red blood cell distribution width (RDW) between psoriasis patients and controls: A systematic review and meta-analysis.

The predictive role of hematological indexes of mean platelet volume (MPV) and red cell distribution width (RDW) has been demonstrated in cardiovascular disease concomitant with psoriasis. This meta-analysis is intended to assess whether MPV and RDW can also serve as biomarkers for the early diagnosis and disease severity assessment of psoriasis. 13 studies which enrolled 1331 psoriasis patients and 919 healthy volunteers were included after screening the search results from PubMed, Embase and the Cochrane Library since inception to Mar 14, 2020. MPV of psoriasis participants and their counterparts was assessed in 10 studies, and RDW was evaluated in 4 studies, while the disease severity was measured by the Psoriasis Area and Severity Index (PASI) in 11 studies. Random-effect model analysis was applied to calculate pooled standard mean difference (SMD) with 95% confidence interval (95% CI). Associations of MPV and RDW with the presence of psoriasis were demonstrated (MPV: SMD = 0.503, 95% CI: 0.242-0.765; RDW: SMD = 0.522, 95% CI: 0.228-0.817), but no statistically significant correlation of MPV and disease severity of psoriasis was found in meta-regression analysis (p = 0.208). Subgroup analysis revealed that the diagnosis value of MPV and RDW was consistent regardless of PASI and study type. Heterogeneity analysis between studies was implemented by chi-squared test and I2 statistics. Begg's and Egger's test were utilized for the evaluation of publication bias. The sensitivity analysis revealed no significant alteration no matter which study was excluded. MPV and RDW could serve as promising predictive diagnostic biomarkers of psoriasis.

Association Between Red Blood Cell Distribution Width and COVID-19 Severity in Delta Variant SARS-CoV-2 Infection.

Studies have discovered that wild-type SARS-CoV-2 infections are commonly linked to abnormalities in the hematological profiles of COVID-19 patients, one such abnormality being characterized by elevations in red blood cell distribution width (RDW). Whether this linkage reoccurs in delta variant SARS-CoV-2 infection remains unexamined. Here we compared baseline blood parameters in COVID-19 patients infected by wild type and its delta variant, respectively. Our results here point to that although the delta variant has shown increased virulence, transmissibility, and vaccine escape, it has a minimally negative impact on RDW values that were previously found prognostic for COVID-19 severity.

Association of red blood cell distribution width with post-operative new-onset atrial fibrillation following cardiac valve replacement surgery: a retrospective study

Purpose The aim of this study was to evaluate the impact of preoperative red blood cell distribution width (RDW) values on the risk of post-operative new-onset atrial fibrillation (PNAF) during hospitalization following cardiac valve replacement surgery. Materials and methods The clinical data of 148 patients with preoperative sinus rhythm who underwent cardiac valve replacement surgery at The First Affiliated Hospital of Anhui Medical University from September 2017 to June 2018 were retrospectively analysed. Univariate and multivariate logistic regression analyses were used to determine the relationship between preoperative RDW values and the development of PNAF. Results Forty-nine of the 148 patients (33.1%) developed PNAF. The median preoperative RDW was 13.1 (12.6–17.2), while the median RDW value was significantly higher in patients with PNAF than in those without PNAF [14.1 (13.2–15.0) vs. 12.9 (12.4–13.5), p < 0.001]. Multivariate logistic regression analysis showed that preoperative RDW values were significantly correlated with the occurrence of PNAF (odds ratio: 1.940, 95% confidence interval: 1.377–2.731, p < 0.001). Conclusions Preoperative RDW is an independent risk factor for PNAF during hospitalization following cardiac valve replacement surgery. This finding suggests that preoperative RDW measurement may be used to stratify the risk for PNAF development in patients undergoing cardiac surgery.

Association between red blood cell distribution width and non-valvular atrial fibrillation in hemodialysis patients: a single-center Chinese population study

Background 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. Methods 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. Results 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%. Conclusions The increased RDW was significantly associated with the paroxysmal AF occurrence in HD patients.