scholarly journals Red cell distribution width is a potential predictor of early relapse in polymyalgia rheumatica

Reumatismo ◽  
2021 ◽  
Vol 73 (2) ◽  
pp. 117-121
Author(s):  
D. Soddu ◽  
D. Sola ◽  
M. Bellan ◽  
E. Boin ◽  
M.G. Cittone ◽  
...  
Keyword(s):  
Polymyalgia Rheumatica ◽  
Inflammatory Diseases ◽  
Laboratory Data ◽  
Predictive Marker ◽  
Stepwise Logistic Regression ◽  
Cell Distribution ◽  
Distribution Width ◽  
Early Relapse ◽  
Clinical Records ◽  
Risk Of Relapse

Red blood cell distribution width (RDW) has been studied as a prognostic biomarker for different chronic inflammatory diseases. In this paper we aim to evaluate its potential role in the prediction of early relapse in patients affected by polymyalgia rheumatica (PMR). We revised retrospectively clinical records of patients who received a diagnosis of PMR, according to 2012 ACR/EULAR classification criteria, for whom baseline clinical and laboratory data were available. The baseline RDW variation coefficient was correlated to the risk of relapse, in the first 6 months of the disease. We identified 44 patients [females 15 (34.0%)/males 29 (66.0%); median age 80 (72-83)], 9 of whom had an early relapse. These patients showed a larger median RDW than patients who did not relapse [13.7 (13.5-14.9)% vs 13.5 (12.7-14.2)%; p=0.04). The two groups were comparable for all the other clinical and laboratory parameters considered. Interestingly, patients in the higher half of the RDW distribution showed a shorter relapse-free survival (p<0.03). In a stepwise logistic regression, RDW (p=0.01) predicted the risk of relapse at 6 months, while age, gender, CRP, ESR, Hb, MCV and prednisone dose did not fit the model. Our results show that RDW is an independent biomarker of early relapse, making this parameter a potentially promising predictive marker in PMR.

Red cell distribution width as predictive marker in CHF: Testing of model performance by reclassification methods

2014 ◽  
Vol 174 (3) ◽  
pp. 783-785 ◽  
Author(s):  
Zsigmond M. Jenei ◽  
Zsolt Förhécz ◽  
Tímea Gombos ◽  
Zoltán Pozsonyi ◽  
Lívia Jánoskuti ◽  
...  
Keyword(s):  
Model Performance ◽  
Predictive Marker ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

scholarly journals Red Blood Cell Distribution Width: A Novel Predictive Indicator for Cardiovascular and Cerebrovascular Diseases

2017 ◽  
Vol 2017 ◽  
pp. 1-23 ◽  
Author(s):  
Ning Li ◽  
Heng Zhou ◽  
Qizhu Tang
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Complete Blood Count ◽  
Predictive Marker ◽  
Biochemical Parameter ◽  
Cerebrovascular Diseases ◽  
Deficiency Anemia ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

The red blood cell distribution width (RDW) obtained from a standard complete blood count (CBC) is a convenient and inexpensive biochemical parameter representing the variability in size of circulating erythrocytes. Over the past few decades, RDW with mean corpuscular volume (MCV) has been used to identify quite a few hematological system diseases including iron-deficiency anemia and bone marrow dysfunction. In recent years, many clinical studies have proved that the alterations of RDW levels may be associated with the incidence and prognosis in many cardiovascular and cerebrovascular diseases (CVDs). Therefore, early detection and intervention in time of these vascular diseases is critical for delaying their progression. RDW as a new predictive marker and an independent risk factor plays a significant role in assessing the severity and progression of CVDs. However, the mechanisms of the association between RDW and the prognosis of CVDs remain unclear. In this review, we will provide an overview of the representative literatures concerning hypothetical and potential epidemiological associations between RDW and CVDs and discuss the underlying mechanisms.

scholarly journals Monocyte to Lymphocyte Ratio, Neutrophil to Lymphocyte Ratio, and Red Cell Distribution Width are the Associates with Gouty Arthritis

2019 ◽  
Vol 62 (3) ◽  
pp. 99-104 ◽  
Author(s):  
Cengiz Kadiyoran ◽  
Orhan Zengin ◽  
Hilal Akay Cizmecioglu ◽  
Abdurrahman Tufan ◽  
Orhan Kucuksahin ◽  
...  
Keyword(s):  
Gouty Arthritis ◽  
Predictive Marker ◽  
Strong Relationship ◽  
Neutrophil To Lymphocyte Ratio ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Lymphocyte Ratio ◽  
Monocytes And Macrophages

Background: Neutrophils, monocytes, and macrophages activations are associated with a gout attack. Monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), red cell distribution width (RDW), and mean platelet volume (MPV) are well-known inflammation markers. In this study, we aimed to investigate whether they could be a predictive marker to the gout attack. Material and Methods: A hundred and ten gout patients (male/female, 86/24) and 90 (male/female, 64/26) age-, gender-, and body mass index-matched volunteer controls were included in the study. Blood samples were obtained in the intercritical and attack period of the patients. Hemogram, serum uric acid (SUA), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) values were studied. Results: In the attack period NLR (p < 0.001), PLR (p < 0.05), MLR (p < 0.001), RDW (p < 0.05), MPV (p < 0.05), ESR (p < 0.001), CRP (p < 0.001) and SUA (p < 0.001) values were significantly higher than intercritical period values. According to the results of regression analysis; There was an independent strong relationship between the gout attack and SUA, (Beta [β] = 0.352, p < 0.001), ESR (β = 0.329, p < 0.001), CRP (β = 0.286, p < 0.001), MLR (β = 0.126, p < 0.001), RDW (β = 0.100, p = 0.003) and NLR (β = 0.082, p = 0.014). Conclusions: MLR, RDW, and NLR may be a strong predictive marker for a gout attack. MPV and PLR values in the gout attack may be associated with systemic inflammation.

scholarly journals MO450ANEMIC PATIENTS WITH ELEVATED RED CELL DISTRIBUTION WIDTH (RDW) ARE LIKELY TO HAVE FASTER FUTURE CKD PROGRESSION

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Hiroshi Tanaka
Keyword(s):  
Blood Cells ◽  
Laboratory Data ◽  
Red Cell Distribution Width ◽  
First Year ◽  
Red Cell ◽  
Cell Distribution ◽  
Ckd Progression ◽  
Distribution Width ◽  
Annual Decline ◽  
Egfr Decline

Abstract Background and Aims Elevation in red cell distribution width (RDW), a marker of size variance in red blood cells, recently has been reported to predict future cardiovascular event. RDW elevation has also been reported to be associated with faster CKD progression. It is not known whether the elevation of RDW is merely a sequela of, or truly a predictor of, the decline in kidney function. Method A hospital-wide study with all the laboratory data for a period of 4 years and 2 months was conducted. All the adult patients in whom an eGFR slope was obtained over 731 days or more with haemoglobin (Hb) measurements of at least twice over 731 days or more were included. Hb and RDW values were classified according to the timing of measurement: first-year measurements during the period vs last-year values. The effects of Hb and RDW on the annual decline in eGFR (mL/min/1.73m2/year) were analyzed. Statistical analysis was performed with R 3.6.0 on Ubuntu. Results A total of 4,611 patients (M:F = 2124:2487, age 18-105 (median 68) years) were included. The first-month Hb and RDW were 7.5 − 20.2 (median 13.6) g/dL and 10.5 − 34.6 (median 12.6). eGFR was 3.4 − 195 (median 69.3) mL/min/1.73m2. Patients with the highest tertile in the first-year RDW had significantly faster decline in eGFR than the rest (-1.74 vs -1.51, P=0.04), while patients with the highest tertile in the last-year RDW had virtually identical eGFR decline compared with the rest. Patients with higher RDW (&gt;=median) and lower Hb (&lt; median) had significantly faster decline in eGFR than the rest (-1.84±4.11 vs -1.47±2.95, P =0.002). Conclusion Anemic patients with elevated RDW are likely to have faster CKD progression in the future.

scholarly journals Red Blood Cell Distribution Width as a Predictive Marker for Coronary Artery Lesions in Patients with Kawasaki Disease

2021 ◽  
Author(s):  
Li Ming ◽  
Hui-ling Cao ◽  
Qiushu Li ◽  
Gengsheng Yu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Area Under The Curve ◽  
Predictive Marker ◽  
Cell Distribution ◽  
Multivariate Logistic Regression ◽  
Distribution Width ◽  
Independent Marker

AbstractThis study aimed to investigate the association between red blood cell distribution width (RDW) and the risk of coronary artery lesions (CALs) in patients with Kawasaki disease (KD). A total of 1355 patients who met the diagnostic criteria for KD were reviewed between January 2018 and December 2019, including 636 patients with CALs and 719 patients without CALs. Blood samples for RDW were obtained at admission (before intravenous immunoglobulin treatment). A logistic regression analysis was performed, and a receiver operating characteristic curve was constructed to determine the prognostic value of RDW standard deviation (RDW-SD) and RDW coefficient of variation (RDW-CV). The study was registered at www.chictr.org.cn, No.: ChiCTR 2000040980. The results showed that RDW-SD increased in patients with complete KD and CALs compared with patients with complete KD without CALs (39 fL vs. 38 fL, respectively; p = 0.000). RDW-CV in patients with complete KD and CALs was significantly higher compared with patients with completed KD without CALs (p = 0.000). Further multivariate logistic regression analysis revealed that RDW-SD was an independent marker of CALs in patients with complete KD (p = 0.001), but no association was found between RDW-CV and CALs. The area under the curve of RDW-SD for predicting CALs in patients with complete KD was 0.606 (95% confidence interval 0.572–0.640; p = 0.000) with a sensitivity and specificity of 61% and 55%, respectively, when the optimal cut-off value of RDW-SD was 38.5 fL. RDW-CV increased in patients with incomplete KD and CALs compared with patients without CALs (13.55% vs 13.3%, respectively; p = 0.004), and multivariate logistic regression analysis revealed that RDW-CV was an independent marker of CALs in patients with incomplete KD (p = 0.021). The area under the curve of RDW-CV for predicting CALs in patients with incomplete KD was 0.597 (95% confidence interval 0.532–0.661; p = 0.004) with a sensitivity and specificity of 40% and 77%, respectively, when the optimal cut-off value of RDW-SD was 13.85%. Conclusion: RDW can be used as an independent predictive marker of CALs in patients with KD, but the type of KD should be considered. RDW-SD was an independent marker of CALs in patients with complete KD, while RDW-CV was a predictor of incomplete KD.

scholarly journals A CLINICAL STUDY TO FIND OUT THE RED CELL DISTRIBUTION WIDTH (RDW) CORRELATION WITH NEONATAL SEPSIS MORTALITY

2020 ◽  
Vol 8 (11) ◽  
pp. 175-178
Author(s):  
Sana Ibad Khan ◽  
◽  
Hiru Navaney ◽  
Keyword(s):  
Neonatal Sepsis ◽  
Predictive Marker ◽  
Red Cell Distribution Width ◽  
P Value ◽  
Red Cell ◽  
Cell Distribution ◽  
Medical Sciences ◽  
Distribution Width ◽  
Critical Patients ◽  
And Oxidative Stress

Introduction: In developing countries like India neonatal sepsis is a major cause of mortality . Red cell distribution width (RDW) reflect the degree of inflammation and oxidative stress .As RDW is a readily available pramater and recent studies found that it can taken as a marker of mortality in critical patients 1,2,.However, its role in neonates remains unexplored. Hence, the objective of the present study was to evaluate the association of RDW with neonatal sepsis and its role as a predictive marker for outcome in neonatal sepsis.3, 5 Aims And Objectives: To find out the predictive value of RDW in relation to neonatal sepsis. Materials And Method: Prospective observational study was carried out in a NICU of Saraswathi Institute Of Medical Sciences for a period of 1 year. RDW values of septic neonates are compared with controls .A total of 50 septic neonates and 50 controls were enrolled of same gestational age and weight.RDW values are arranged as above 50th percentile and below 50th percentile. The outcomes of two groups are assessed in relation with RDW. Result And Conclusion: RDW levels were higher among septic neonates as compared to controls with p value of <.001.High RDW is associated with neonatal sepsis and it can take as a marker for mortality associated with neonatal sepsis.

scholarly journals The Utility of Red Cell Distribution Width as a Parameter for Calculating Indices of Allostatic Load

2016 ◽  
Author(s):  
Ghalib A Bello ◽  
Gerard G Dumancas
Keyword(s):  
Health Status ◽  
Allostatic Load ◽  
Goodness Of Fit ◽  
Clinical Laboratory ◽  
Laboratory Data ◽  
Cell Distribution ◽  
Strong Correlations ◽  
Distribution Width ◽  
Clinical Biomarkers ◽  
Current Formulation

AbstractBackgroundAllostatic Load is a construct used to quantify the cumulative burden of exposure to stressors that, over the course of an individual’s life, exert a toll on the body’s physiological functions, increasing risks of various chronic ailments and conditions. Studies attempting to quantify allostatic load have used a variety of clinical biomarkers representing primary and secondary mediators. In this study, we demonstrate the value of including red blood cell distribution width (RDW) among the panel of clinical parameters used to calculate allostatic load.MethodsWe develop a novel formulation of allostatic load using RDW and other standard biomarkers. This index is computed using clinical laboratory data from the NHANES study. The predictive validity of the new index for tertiary outcomes (all-cause mortality and physician-assessed health status) is compared to that of the current formulation using Harrell’s C index, ROC analysis and regression-based goodness-of-fit measures.ResultsInclusion of RDW as an allostatic load biomarker yields a significantly improved index. It demonstrates a superior ability to predict mortality, health status and biological age than the standard formulation currently in use.ConclusionRDW has shown strong correlations with mortality and a broad spectrum of diseases. A review of the existing literature on allostatic load reveals its underutilization in this area, despite being a standard component of blood count panels. This study is the first to demonstrate its usefulness as a potential allostatic load biomarker.

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