Red cell distribution width in coronary heart disease: prediction of restenosis and its relationship with inflammatory markers and lipids

2018 ◽  
Vol 94 (1115) ◽  
pp. 489-494 ◽  
Author(s):  
Hang Qian ◽  
Zhihuan Luo ◽  
Chunmei Xiao ◽  
Jishun Chen ◽  
Dongfeng Li ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Heart Disease ◽  
Cell Count ◽  
White Cell Count ◽  
Density Lipoprotein ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

BackgroundRed cell distribution width (RDW) is associated with a poor prognosis and adverse events in cardiovascular diseases. The aims of this study were to investigate the relationship between serum RDW levels and outcomes after percutaneous coronary intervention and to identify potential novel laboratory markers for evaluating the risk of in-stent restenosis (ISR) with stable angina pectoris.MethodsA total of 261 patients with coronary heart disease from Dongfeng General Hospital implanted with a coronary drug-eluting stent (DES) were enrolled in the study. We retrospectively analysed the role and prognosis values of serum parameters that were measured before angiography at the first admission. According to the results of the second angiogram, the patients were divided into two groups as follows: the non-ISR group (n=143) and the ISR group (n=118). The clinical characteristics and all laboratory data were considered for univariate and multivariate logistic regression analyses.ResultsThe white cell count, RDW, neutrophil count, C-reactive protein (CRP), total cholesterol, low-density lipoprotein cholesterol (LDL-C), blood urea nitrogen and uric acid levels were higher in the ISR group than in the non-ISR group. There were no differences in the rates of hypertension, fasting plasma glucose, red cell count, neutrophil to lymphocyte ratio, platelet count, triglyceride, high-density lipoprotein cholesterol and creatinine levels. In the univariate regression analysis, age, diabetes, white cell count, neutrophil count, RDW, CRP, total cholesterol, LDL-C, blood urea nitrogen, Gensini score and number of stents were predictors of ISR. According to the multiple logistic regression analysis, age, RDW and number of stents were independent predictors of ISR.ConclusionsPreprocedural blood parameters can independently predict ISR. Our study results demonstrated that a high preprocedural RDW is an independent predictor of DES restenosis.

scholarly journals Correlation Analysis of Hemoglobin-to-Red Blood Cell Distribution Width Ratio and Frailty in Elderly Patients With Coronary Heart Disease

2021 ◽  
Vol 8 ◽  
Author(s):  
Jiling Qu ◽  
Ting Zhou ◽  
Mengxin Xue ◽  
Huiping Sun ◽  
Yijing Shen ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Heart Disease ◽  
Elderly Patients ◽  
Density Lipoprotein ◽  
Width Ratio ◽  
Cell Distribution ◽  
Distribution Width ◽  
Ordered Logistic Regression ◽  
Red Blood Cell Distribution

Background: Coronary heart disease (CHD) is a common chronic disease in the elderly. Frailty can accelerate the development of CHD and lead to adverse health outcomes. Risk prediction and decision-making for frailty are crucial. The peripheral hemoglobin-to-red blood cell distribution width ratio (HRR) is a novel biomarker of inflammation. Our purpose was to explore the correlation between HRR and frailty in elderly patients with CHD.Methods: This cross-sectional study evaluated 245 Chinese hospitalized patients with CHD. Blood parameters measured upon admission were obtained via the hospital electronic information medical record system. The Fried Frailty Phenotype Scale was used to evaluate the frailty status of the participants. The Receiver operating characteristic curve was used to determine the optimal cut-off values of HRR. We used univariate analysis to examine the potential factors affecting frailty. Kendall's tau-b grade correlation was used to analyze the correlation between HRR and frailty. The ordered logistic regression model was used to analyze the relationship between HRR and frailty.Results: A total of 233 elderly patients with CHD were included in our study. Among the patients, 33.48% (78) were in a state of frailty. The optimal cut-off values of HRR was 9.76. The area under the curve (AUC) for HRR in the frailty patients was 0.652, exceed Hb (AUC = 0.618) and RDW (AUC = 0.650). Kendall's tau-b grade correlation analysis showed that HRR (K = −0.296, P < 0.001) was negatively correlated with frailty. The ordered logistic regression analysis determined that lower HRR was associated with frailty (P < 0.05) after adjusted for age, body mass index, number of drugs, comorbidity index, heart failure, red blood cells, albumin, total cholesterol, triglyceride, high density lipoprotein cholesterol, and low density lipoprotein cholesterol.Conclusion: Lower HRR is an independent risk factor for frailty in elderly hospitalized patients with CHD. HRR was a more powerful prognostic indicator for frailty than either Hb or RDW alone. Clinicians should focus on timely identification of the risk of frailty in order to improve patient quality of life and to reduce the risk of complications.

Hematologic Remission of Chronic Myelogenous Leukemia after Treatment with Imatinib Includes Normalization of the Red Cell Distribution Width.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 4882-4882
Author(s):  
Joel David Bessman ◽  
Maria Montoya
Keyword(s):  
Platelet Count ◽  
Cell Count ◽  
Chronic Myelogenous Leukemia ◽  
White Cell Count ◽  
White Cell ◽  
Myelogenous Leukemia ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

Abstract After treatment with imatinib, the majority of patients with chronic myelogenous leukemia (CML) achieve hematologic remission. This includes normalization of blood counts (red cells, white cells, and platelets) normalization of the white cell differential, and disappearance of abnormal immature cells from the peripheral blood. However, abnormal erythropoiesis may be more subtle than abnormal red cell counts. We reviewed two other indices of erythropoiesis, the mean cell volume (MCV) and the red cell distribution width (RDW). We studied 15 patients with a diagnosis of CML confirmed by BCR-ABL, in whom the first-line therapy was imatinib. Treatment dosage varied from 400 – 800 mg/day. Pre-treatment, all patients had an elevated white cell count, 14 of 15 had a low hemoglobin, and 11 of 15 had an abnormal high platelet count. None had an abnormal MCV (mean, 91.3, range 82 – 97), and 13 of 15 had an abnormal RDW (mean 16.2, range 14.1 – 19.2). After treatment was started, all 15 achieved a normal white cell count, hemoglobin, and platelet count within 3 months. All continued to have a normal MCV, with no apparent change (mean 92.1, range 82 – 98). However, after treatment 14 of 15 developed a normal RDW (mean 13.7, range 12.0 – 15.2). The RDW progressively declined during the first 3 months after treatment and reached an asymptote at that time. We conclude that hematopoiesis normalizes qualitatively as well as quantitatively after successful imatinib therapy of CML. Future study will determine whether an isolated elevated RDW will predict relapse or briefer duration of remission.

Red Cell Distribution Width and Risk of Coronary Heart Disease Events

2010 ◽  
Vol 106 (7) ◽  
pp. 988-993 ◽  
Author(s):  
Sandip K. Zalawadiya ◽  
Vikas Veeranna ◽  
Ashutosh Niraj ◽  
Jyotiranjan Pradhan ◽  
Luis Afonso
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

scholarly journals Smoking Is a Risk Factor of Coronary Heart Disease through HDL-C in Chinese T2DM Patients: A Mediation Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Ru Tang ◽  
Shanshan Yang ◽  
Weiguo Liu ◽  
Bo Yang ◽  
Shuang Wang ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Heart Disease ◽  
Logistic Regression Analysis ◽  
Mediation Analysis ◽  
Smoking Status ◽  
Density Lipoprotein ◽  
Cross Sectional

Objective. To investigate associations between smoking and cardiovascular and cerebrovascular complications in type 2 diabetes mellitus (T2DM) patients. Methods. This is a cross-sectional study. Of 971 T2DM patients aged 14–93 years old in this study, 182 had ever smoked and 789 never smoked. Propensity score matching (PSM) reduced the confounding bias between groups. Logistic regression analysis was performed on matched data to evaluate coronary heart disease (CHD) and stroke risk. In addition, the mediation analysis was conducted among smoking exposure, HDL-C, and CHD. Results. A total of 139 pairs of patients who had never and ever smoked were matched. Logistic regression analysis showed that compared with patients who never smoked, those who smoked > 20 cigarettes per day (CPD) had a higher risk of CHD (odds ratio [OR]: 3.09, 95% confidence interval [CI]: 1.21–7.89). Additionally, after adjusting for age, sex, origin, occupation, smoking status, body mass index, waist circumference, and diabetes duration, the OR for CHD with >20 years of cumulative smoking (pack-years) was 2.21 (95% CI: 1.05–4.65). Furthermore, we observed a significant dose-response relationship between CPD and lower high-density lipoprotein cholesterol (HDL-C) (P<0.001). Moreover, the mediation analysis showed that the indirect effect mediated by HDL-C accounted for 86% (effect = 0.0187, 95% CI: 0.0100–0.0316). Conclusions. Smoking may be a risk factor for CHD in T2DM patients. T2DM patients should stop smoking or reduce the CPD to prevent the onset of CHD. Moreover, to prevent CHD complications, monitoring HDL-C levels in T2DM patients who smoke may be necessary.

scholarly journals Can red cell distribution width be a new parameter for predicting higher CD34+ cell count in the harvest?

2018 ◽  
Vol 51 (1) ◽  
pp. 47-52
Author(s):  
Eren Gündüz ◽  
Tuba Bulduk ◽  
Hava Üsküdar Teke ◽  
Ahmet Musmul ◽  
Neslihan Andıç
Keyword(s):  
Cell Count ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

Admission Red Cell Distribution Width: A Novel Predictor of Massive Transfusion after Injury

2014 ◽  
Vol 80 (7) ◽  
pp. 685-689 ◽  
Author(s):  
Elena M. Paulus ◽  
Jordan A. Weinberg ◽  
Louis J. Magnotti ◽  
John P. Sharpe ◽  
Thomas J. Schroeppel ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Health Status ◽  
Massive Transfusion ◽  
Red Cell Distribution Width ◽  
Trauma Patients ◽  
Red Cell ◽  
Cell Distribution ◽  
Major Hemorrhage ◽  
Distribution Width ◽  
Chronic Health Status

Admission red cell distribution width (aRDW) has been shown to predict mortality in trauma patients by an unclear mechanism. It has been speculated that aRDW is a marker of chronic health status, but elevated RDW may also reflect recent hemorrhage. We hypothesized that aRDW is a predictor of major hemorrhage in trauma patients. Shock trauma patients at a Level I trauma center over 6.5 years were evaluated. Patients were stratified by aRDW quintile (Q1: less than 13%, Q2: 13.1 to 13.5%, Q3: 13.6 to 14.0%, Q4: 14.1 to 14.9%, Q5: 15.0% or greater). Massive transfusion (MT) was defined as 10 or more packed red blood cells in the first 24 hours. From multiple logistic regression, odds ratios with 95 per cent confidence intervals (CIs) were determined to evaluate the association between aRDW quintile and MT. Three thousand nine hundred ninety-four met study criteria. Overall MT incidence was 10 per cent and in-hospital mortality was 17 per cent. MT and mortality increased in a stepwise fashion by aRDW quintile ( P < 0.0001). From logistic regression, a threefold increased odds of MT was associated with aRDW Q4 (CI, 1.81 to 4.92), and a 3.5-fold increased odds of MT was associated with aRDW Q5 (CI, 2.70 to 5.83). aRDW independently predicted MT, suggesting that elevated aRDW is an indicator of major hemorrhage in trauma patients. The association between aRDW and mortality in trauma patients may be explained by acute hemorrhage rather than chronic health status.

Effect of purified eicosapentaenoic acid on red cell distribution width in patients with ischemic heart disease

2014 ◽  
Vol 30 (5) ◽  
pp. 587-594 ◽  
Author(s):  
Masao Takahashi ◽  
Masahiro Myojo ◽  
Aya Watanabe ◽  
Arihiro Kiyosue ◽  
Koichi Kimura ◽  
...  
Keyword(s):  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Eicosapentaenoic Acid ◽  
Ischemic Heart ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

scholarly journals Red Cell Distribution Width as a Novel Marker for Different Types of Atrial Fibrillation in Low and High Altitude

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Kaiyue Han ◽  
Xiaoling Su ◽  
Jiang Liu ◽  
Fengcai Yao ◽  
FeiYan Lu
Keyword(s):  
Atrial Fibrillation ◽  
Regression Analysis ◽  
High Altitude ◽  
Multivariate Logistic Regression Analysis ◽  
Red Cell ◽  
Cell Distribution ◽  
Multivariate Logistic Regression ◽  
Distribution Width ◽  
Different Types ◽  
Low Altitude

Background. Increased red cell distribution width (RDW) can predict the incidence and mortality of cardiovascular diseases. However, there are limited data on the relationship between RDW and altitude and the subtype of atrial fibrillation (AF). We investigated the effects of altitude on RDW in patients with different types of AF. Methods. A total of 303 patients with nonvalvular AF were included. Of these, 156 lived in low altitude (77 paroxysmal AF, PAF; 79 persistent AF, PeAF) and 147 in high altitude (77 paroxysmal AF, PAF; 70 persistent AF, PeAF). In these groups, baseline characteristics, complete blood counts, serum biochemistry, and echocardiography were evaluated. Multivariate logistic regression analysis was conducted to determine the independent predictors of AF at the different altitudes. Results. In both low and high altitudes, RDW and left atrial diameter (LAD) were higher in AF than control subjects (P<0.05) and higher in persistent AF than paroxysmal AF (P<0.05). Compared with any groups (PAF group, PeAF group, or control group) of low-altitude, RDW and LAD were found higher in high-altitude corresponding groups. Multivariate logistic regression analysis demonstrated that RDW, mean corpuscular volume (MCV), and LAD levels independently associated with AF patients in low altitude (RDW, OR 1.687, 95% CI 1.021–2.789; P<0.05), while in high altitude, RDW, MCV, creatinine (Cr), and LAD were independent predictors for AF patients (RDW, OR 1.755, 95% CI 1.179–2.613; P<0.05). Conclusion. Elevated RDW levels may be an independent risk marker for nonvalvular AF, affected by type of AF and altitude.

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