scholarly journals Red Cell Distribution Width and Other Red Blood Cell Parameters in Patients with Cancer: Association with Risk of Venous Thromboembolism and Mortality

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e111440 ◽  
Author(s):  
Julia Riedl ◽  
Florian Posch ◽  
Oliver Königsbrügge ◽  
Felix Lötsch ◽  
Eva-Maria Reitter ◽  
...  
Keyword(s):  
Venous Thromboembolism ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Cell Parameters ◽  
Patients With Cancer

scholarly journals Evaluation of Red Blood Cell Parameters as a Biomarker for Long-Term Glycemic Control Monitoring Among Type 2 Diabetic Patients in Southwest Ethiopia: A Cross-Sectional Study

2021 ◽  
Author(s):  
Misganaw Asmamaw ◽  
Tariku Sime ◽  
Kumsa Kene ◽  
Minale Fekadie ◽  
Muluken Teshome ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Red Cell Distribution Width ◽  
Mean Corpuscular Hemoglobin ◽  
Red Cell ◽  
Cell Distribution ◽  
Corpuscular Hemoglobin ◽  
Distribution Width ◽  
Cell Parameters

Abstract Background: Type 2 Diabetes Mellitus (T2 DM) is a common type of DM characterized by hyperglycemia. Glycation of hemoglobin and related proteins in DM can affect the physiological and structural properties of red blood cells. Although glycated hemoglobin (HbA1c) test continues to be the gold standard for the assessment of long-term glycemic control accessibility and affordability of the test in routine diagnosing service are still limited in developing countries. Hence, this study was aimed to assess red blood cell parameters as a biomarker for long-term glycemic monitoring among T2 DM patients.Methods: Facility-based cross-sectional study through a consecutive sampling technique was conducted among 124 T2 DM patients at the chronic illness follow-up clinic of Jimma Medical Center (JMC) from July 27 to August 31, 2020. A structured questionnaire was used to collect socio-demographic and clinical-related data. Five milliliters of the blood specimen was collected from each eligible T2 DM patient. HbA1c and red blood cell parameters were determined by Cobas 6000 and DxH 800 fully automated analyzers respectively. Data were entered into Epi-data software version 3.1 and exported to SPSS 25 version for analysis. Independent t-test and Pearson’s correlation coefficient were used to address the research questions. A P-value < 0.05 was considered statistically significant. Results: The mean age of study participants was 51.84± 11.6 years. 60.5% of T2 DM patients were in poor glycemic control. There was a significant mean difference between good and poor glycemic controlled T2 DM patients in red blood cell count (4.79±0.5 vs 4.38±0.8), hemoglobin (14.13±1.4 vs 13.60±1.6), mean corpuscular volume (89.52±4.7 vs 92.62±7.5), mean corpuscular hemoglobin (29.63±1.6 vs 30.77±2.9), and red cell distribution width (13.68±1.1 vs 14.63±1.2) respectively. Red blood cell count was inversely correlated (r=-0.280, p=0.002) with HbA1c while mean corpuscular volume (r=0.267, p=0.003), mean corpuscular hemoglobin (r=0.231, p=0.010), and red cell distribution width (r= 0.496, p=0.000) were positively correlated with level of HbA1c. Conclusion: Red cell count, mean corpuscular volume, mean corpuscular hemoglobin, and red cell distribution width could be useful indicators to monitor the glycemic status of T2 DM patients instead of HbA1c, though large prospective studies should be considered.

scholarly journals Correlation between Red Cell Distribution Width (RDW) with Kidney Function and Hematologic Parameters in Patients undergo Regular Hemodialysis

2020 ◽  
Vol 2 (4) ◽  
pp. 171-176
Author(s):  
Soraya Mourina Hutasuhut ◽  
Alwi Thamrin Nasution ◽  
M. Feldy Gazaly Nasution
Keyword(s):  
Blood Cell ◽  
Red Blood Cells ◽  
Red Blood Cell ◽  
Blood Cells ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Hematological Analysis ◽  
Regular Hemodialysis

Background. Red cell distribution width (RDW) is a coefficient of variation in red blood cells that can decrease erythropoesis or increase the destructiveness of red blood cells. The objectives of research  to determine the relationship of RDW as an inflammatory marker with renal function and hematological parameters in patients undergoing regular hemodialysis Method; Cross sectional research on 20 patients undergoing regular hemodialysis > 3 months in RSUP H Adam Malik Medan. Vital sign, antropometry and venous blood retrieval are performed  shortly  before hemodialysis. RDW measurement comes from the red blood cell distribution curve in hematological analysis and is an indicator of variation in red blood cell size. Result: out  of 20 subjek studies,  there were 13 men (65.0%) and 7 (35.0%) women The majority of subjects had comorbid  diabetes mellitus  14 (70.0%), hypertension 4 (20.0%). The average length of time patients underwent  hemodialysis was 24.45 ± 20.98 months. There is a significant correlation between RBW and creatinine, Hb, and neutropil (r: 0.519, p:0,019*; r:  0.497,  p: 0.026*;r: 0.464,  p: 0.039*, respectively) Conclusion: There is a significant relationship between RBW and creatinine, Hb and neutropphils in patients undergoing regular hemodialysis > 3 months.

scholarly journals Hematological parameters in apparently Healthy Eritrean blood donors at the National Blood Transfusion Center, Asmara, Eritrea.

2020 ◽  
Author(s):  
Faris Abdon ◽  
Elias Adgoy ◽  
Nahom Berhane ◽  
Senet Ibrahim ◽  
Adil Khalil ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Blood Donors ◽  
Hemoglobin Level ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Mean Cell Hemoglobin ◽  
Apparently Healthy

Introduction: This study was done to measure the Hemoglobin levels, Red Blood Cells count, and Red Blood cell parameters: MCV, MCH, MCHC, RDW, and Hematocrit of the apparently healthy blood donors attending the National Blood Bank of Eritrea. Methods: Blood samples were collected from the peripheral veins into the (EDTA)-tube and examined for Red Blood Cell count (RBC), hemoglobin (Hb), Hematocrit (%), mean cell volume (MCV), mean cell hemoglobin (MCH), mean cell hemoglobin concentration (MCHC), and red cell distribution width (RDW), analyzed and measured by automated blood analyzer. Results: The mean Hemoglobin level was 14.428±1.485 g/dl, RBCs count was 4.744±0.482×1012/L, HCT was 41.929 ±3.75%, Red cell distribution width (RDW) mean was 13.571±0.744%, MCV was 88.582± 4.0558 Fimtoliter, MCH was 30.470±2.188 picogram, and MCHC was a mean of 34.393±1.347g/dl. The difference between males and females in MCV and MCHC was significant in favor of female donors. And a weak positive correlation had been found between the weight and age of donors and the Hemoglobin level. All the measured values were found to be within the global referenced ranges. Conclusion: Hemoglobin, RBCs count and RBCs indices of apparently healthy Eritrean blood donors were measured for reference, and all values were found within normal reference ranges.

scholarly journals DIAGNOSTIC EFFICACY OF RED BLOOD CELL INDICES IN DIAGNOSIS OF BETA THALASSEMIA TRAIT TAKING HAEMOGLOBIN ELECTROPHORESIS AS GOLD STANDARD

2021 ◽  
Vol 71 (3) ◽  
pp. 1006-10
Author(s):  
Sahar Rabbani ◽  
Muhammad Farooq ◽  
Samina Naeem ◽  
Nasir Uddin ◽  
Muhammad Abdul Naeem ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Red Cell Distribution Width ◽  
Beta Thalassemia ◽  
Red Cell ◽  
Cell Distribution ◽  
Diagnostic Efficacy ◽  
Mean Cell Volume ◽  
Distribution Width ◽  
Thalassemia Trait

Objective: To determine the diagnostic efficacy of haematological indices for the diagnosis of beta thalassemia trait taking haemoglobin electrophoresis as a gold standard. Study Design: Cross sectional study. Place and Duration of Study: Department of Haematology Combined Military Hospital Lahore, from Aug to Dec 2019. Methodology: Two hundred and six anaemic patients 20-70 years of age of both genders were included in the study. Blood was collected from all the patients and complete blood count were generated through automated haematology analyser Sysmex KX-21. Based on the complete blood count parameters like mean cell volume, red blood cell count, red cell distribution width and mean cell haemoglobinthe haematological indices such as Mentzer, Ricerca, mean density of Hb/litre of blood, mean cell Hb density and red cell distributon width indices were calculated. The haemoglobin A2 band of >3.5% on haemoglobin electrophoresis was taken as cut off for Beta thalassemia trait. Results: Out of the 206 blood samples analysed, 120 (58%) were labelled as Beta thalassemia trait after Hb electrophoresis and 86 cases had anemia due to other causes. Mentzer index established the highest sensitivity of 92.5% whereas RICERCA index established the highest specificity of 94.1%. Mentzer and red cell distribution width indexhad highest diagnostic efficacy value up to 90.3%. Conclusion: We conclude that Mentzer and red cell distribution width index showed the highest diagnostic significance. The Mentzer index has the highest sensitivity whereas Ricerca index has the highest specificity. The red blood cell count, haemoglobin and mean cell volume.............

scholarly journals Red Cell Distribution Width and Other Red Blood Cell Parameters in Patients with Cancer: Association with Risk of Venous Thromboembolism and Mortality

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2859-2859 ◽  
Author(s):  
Julia Riedl ◽  
Florian Posch ◽  
Eva-Maria Reitter ◽  
Ernst Eigenbauer ◽  
Christine Marosi ◽  
...  
Keyword(s):  
Venous Thromboembolism ◽  
Cancer Patients ◽  
Red Cell Distribution Width ◽  
Study Cohort ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Cumulative Survival ◽  
Patients With Cancer ◽  
One Year

Abstract Background: Cancer patients are at high risk of developing venous thromboembolism (VTE). However, the actual risk of VTE varies widely between individual patients and therefore in the past years several studies have focused on the identification of risk factors for cancer-associated VTE. Red cell distribution width (RDW) has been reported to be associated with arterial and venous thrombosis in non-cancer patients and with mortality in several diseases. RDW is a parameter of the complete blood count that describes the size variation of red blood cells (RBC). Here, we analyzed the association between RDW and other RBC parameters with risk of VTE and mortality in patients with cancer. Methods: RBC parameters (RDW, hematocrit, hemoglobin concentration, mean corpuscular volume, mean corpuscular hemoglobin and mean corpuscular hemoglobin concentration) were measured in 1840 patients with cancers of the lung (=309), breast (n=273), brain (n=245), colon/rectum (n=182), prostate (n=157), pancreas (n=130), stomach (=63), kidney (n=42); lymphoma (n=260), multiple myeloma (n=49) and other tumor sites (n=130) that were included in the Vienna Cancer and Thrombosis Study (CATS). CATS is an ongoing prospective, observational cohort study of patients with newly diagnosed or progressive cancer after remission. Primary study outcome is occurrence of symptomatic VTE and secondary outcome is death during a maximum follow-up period of 2 years. Results: During a median follow-up of 706 days, 131 (7.1%) patients developed VTE and 702 (38.2%) died. High RDW (>16%) was not associated with a higher risk of VTE in the total study cohort; in competing risk analysis accounting for death as competing variable the univariable subhazard ratio (SHR) was 1.34 (95% confidence interval [CI]: 0.80-2.23, p=0.269). In patients with high RDW (>16%), the cumulative probability of VTE was 7.5% after 6 months, 8.7% after one year and 9.3% after two years in comparison to a probability of 5.0% after 6 months, 6.2% after one year and 7.2% after two years in those patients who had a lower RDW (Gray's test p=0.267; Figure 1). There was also no significant association between other RBC parameters and risk of VTE. In subgroup analysis of patients with solid tumors only, high RDW (>16%) was associated with an 80% increase in risk of VTE compared to lower RDW (SHR [95% CI]: 1.80 [0.99-3.26], p=0.053). However, in multivariable analyses adjusting for age, sex, hemoglobin, leukocyte and platelet count we did not observe a significant association between RDW and risk of VTE (SHR [95% CI]: 1.57 [0.81-3.04], p=0.182). High RDW was associated with an increased risk of mortality in the total study population (hazard ratio [HR, 95% CI]: 1.72 [1.39-2.12], p<0.001), and this association prevailed after adjustment for age, sex, hemoglobin, leukocyte and platelet count (HR [95% CI]: 1.34 [1.06-1.70], p=0.016). The cumulative probability of survival in patients with high RDW (>16%) was 78.5% after 6 months, 66.2% after one year and 41.3% after two years. In comparison, patients with non-elevated RDW levels had a cumulative survival probability of 88.7% after 6 months, 75.1% after one year and 66.2% after two years (Log-rank p<0.001; Figure 2). Conclusions: RDW and other RBC parameters were not independently associated with risk of VTE in patients with cancer and might therefore not be of added value for estimating risk of VTE in patients with cancer. We could confirm that high RDW is an independent predictor of poor overall survival in cancer. Figure 1. Cumulative incidence of venous thromboembolism (VTE), accounting for competing risk (death of any cause) in the total study cohort, grouped into patients with red cell distribution width (RDW) >16% and below, respectively. Figure 1. Cumulative incidence of venous thromboembolism (VTE), accounting for competing risk (death of any cause) in the total study cohort, grouped into patients with red cell distribution width (RDW) >16% and below, respectively. Figure 2. Kaplan-Meier estimates for cumulative survival probability of cancer patients (total study cohort) with red blood cell distribution width (RDW) >16% and below, respectively. Figure 2. Kaplan-Meier estimates for cumulative survival probability of cancer patients (total study cohort) with red blood cell distribution width (RDW) >16% and below, respectively. Disclosures No relevant conflicts of interest to declare.

Association between red cell distribution width and risk of venous thromboembolism

2015 ◽  
Vol 136 (3) ◽  
pp. 590-594 ◽  
Author(s):  
Paolo Bucciarelli ◽  
Alberto Maino ◽  
Irene Felicetta ◽  
Maria Abbattista ◽  
Serena M. Passamonti ◽  
...  
Keyword(s):  
Venous Thromboembolism ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

Correlation of Red Blood Cells and Platelets Parameters.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3764-3764
Author(s):  
Zoi Saouli ◽  
Georgia Kaiafa ◽  
Fotios Girtovitis ◽  
Zisis Kontoninas ◽  
George Ntaios ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Red Blood Cell ◽  
Blood Cells ◽  
Red Cell ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Mean Values ◽  
Cell Parameters ◽  
The Mean

Abstract INTRODUCTION: Platelet along with red blood cell count is a part of complete blood cell count, one of the most frequent laboratory tests in medicine. Platelet distribution width, plateletcrit and mean platelet volume are three indices provided by hematological analyzers. There are few reports in literature regarding the correlation of these three parameters with red blood cell parameters. AIM: Aim of this study is to investigate the correlation between these platelets parameters and red cell parameters: hematocrit, mean corpuscular volume and red blood cell distribution width. METHODS: Three hundred and three healthy blood donor volunteers (176 men and 127 women, mean age 37,3 years) were included. None of them had any known hematological disease in the past. The parameters mentioned above were measured by the automated hematological analyzer Coulter®LH780. RESULTS: The mean values for platelets were: PCT: 0,25±0,11%, MPV: 8,11±1,94 fL and PDW: 15,89±2,74%. The mean values for their parallel red blood cell parameters were: HCT: 40,55±2,63%), MCV: 91±4,17 fL, RDW: 13,3±1,35% Statistical and regression analysis including the correlation coefficient between platelet and red cell parameters as well as Student’s t-test was carried out. CONCLUSIONS: There seems to be no significant correlation between HCT and PCT. MCV and MPV were not correlated significantly as well, indicating that red blood cell and platelet sizes are independent. But there is a statistically significant correlation between RDW and PDW (r: 0,68, p<0,01) demostrating that anisocytosis of red blood cells and platelets might occur simultaneously. Based on these observations, further more studies should be carried out for the correlation between platelets and red blood cell indices in certain disorders.

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