Relationship between red cell distribution width, mean corpuscular hemoglobin level, and the treatment of renal anemia in hemodialysis patients

Iron deficiency anemia is common problem during pregnancy. Red cell size variation (anisocytosis) is the earliest morphologic changes in iron deficiency anemia. Red cell distribution width is a quantitative measure of red cell size variation and it can give the idea of early iron deficiency before other test to become positive.190 pregnant women were included in this study. Red cell distribution width was compared between iron deficient & non-iron deficient pregnant women. Red cell distribution width also compared with Hb level, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration and peripheral blood film in prelatent iron deficiency, latent iron deficiency, mild and moderate iron deficiency anemia. Red cell distribution width had sensitivity 82.3% and specificity 97.4%. Whereas Hb level, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration and peripheral blood film all had 56.6%, 29.2%, 68.1%, 15% and 38.9% sensitivity but specificity was 90.9%, 98.7%, 83.1%, 96.1% and 98.7% in the detection of iron deficiency. Red cell distribution width appears to be a reliable and useful parameter for detection of iron deficiency during pregnancy. DOI: http://dx.doi.org/10.3329/bmrcb.v37i3.9122 BMRCB 2011; 37(3): 102-105

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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

10.21203/rs.3.rs-504669/v1 ◽

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.

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Association of Increased Red Cell Distribution Width with Malignant Transformation of Oral Submucous Fibrosis

Dental Journal of Advance Studies ◽

10.1055/s-0040-1701146 ◽

2019 ◽

Vol 07 (03) ◽

pp. 123-127

Author(s):

Jaya Joshi ◽

Kundendu Arya Bishen ◽

Sonam Gehi ◽

Pratiksha Kumar ◽

Anand Krishna Singh ◽

...

Keyword(s):

Malignant Transformation ◽

Oral Submucous Fibrosis ◽

Red Cell Distribution Width ◽

Mean Corpuscular Hemoglobin ◽

Red Cell ◽

Cell Distribution ◽

Corpuscular Hemoglobin ◽

Distribution Width ◽

Submucous Fibrosis ◽

Malignant Changes

Abstract Introduction Oral submucous fibrosis (OSMF) is associated with nutritional deficiencies—primarily of iron and vitamins and usually seem to be associated with anemia. Red cell distribution width (RDW) is one of the routinely assessed parameters in complete blood picture analysis of any patient. It measures range of variation in erythrocyte size. A high RDW value has been associated to adverse outcomes in several diseases and risk of death. However, the relationship of RDW and OSMF is yet to be established. Aim To analyze the association of RDW levels and other erythrocytic indices with clinical staging and prognosis of OSMF patients. Materials and Methods Analysis of clinical stage and hematologic status of 86 patients comprising the study group (OSMF cases and OSMF with malignant changes) and control group was performed. It was done using Kruskal–Wallis analysis of variance test. Results The values of mean corpuscular volume, mean corpuscular hemoglobin, and mean corpuscular hemoglobin concentration were below normal from the onset of oral submucous fibrosis and they continued to decrease as the disease progressed. On other hand, RDW values were found to be in normal range in initial stages of disease and they became high in stage IV OSMF and increased further in OSMF patients with malignant changes. Conclusion We observed that higher values of RDW are strongly and independently associated with OSMF and OSCC, suggesting that RDW may contribute as most economic novel biochemical marker for progression and malignant transformation of OSMF.

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Preoperative Mean Corpuscular Hemoglobin Concentration, Red Cell Distribution Width As Predictive Markers For Pancreatic Cancer Patients Who Underwent Radical Pancreatomy

10.21203/rs.3.rs-37763/v1 ◽

2020 ◽

Author(s):

Dan Wang ◽

Xiaona Fan ◽

Lin Fang ◽

Tianshuo Zhou ◽

Qingwei Li ◽

...

Keyword(s):

Pancreatic Cancer ◽

Hemoglobin Concentration ◽

Red Cell Distribution Width ◽

Mean Corpuscular Hemoglobin ◽

Red Cell ◽

Cell Distribution ◽

Mean Corpuscular Hemoglobin Concentration ◽

Corpuscular Hemoglobin ◽

Distribution Width ◽

Corpuscular Hemoglobin Concentration

Abstract Objective: To explore the value of mean corpuscular hemoglobin concentration (MCHC) and red cell distribution width (RDW) for overall survival (OS) and progression-free survival (PFS) in patients with pancreatic cancer (PC) who underwent radical pancreatomy.Background: Inflammatory factors are important factors in promoting the occurrence and metastasis of malignant tumors. RDW and MCHC are suggested to be relevant to the prognosis of several malignancies. Such as gastric cancer, colon cancer. However, there are few studies to explore the correlation between them and PC.Methods: This study included 532 patients with PC who underwent radical resection between March 2011 and May 2019. Kaplan-Meier curve method and Cox proportional hazard regression model were applied to analyze prognosis. Correlations between categorical variables were analyzed using Chi squared tests.Results: Survival curve showed that OS and PFS were significantly favorable for resectable PC patients with high preoperative MCHC (P=0.02) (P=0.005), RDW in the normal range (P<0.001) (P<0.001). Multivariate analysis suggested that MCHC (HR: 0.612, 95%CI: 0.426-0.879, P=0.008), and RDW (HR: 3.969, 95%CI: 2.952-5.338, P<0.001) were independent prognostic factors for resectable PC patients. MCHC (HR: 0.657, 95%CI: 0.458-0.943, P=0.023), RDW (HR: 3.915, 95%CI: 2.923-5.243, P < 0.001) were also independent recurrent factors for resectable PC patients. Correlation analysis showed that MCHC was related to tumor size, nerve invasion, and anemia-related indicators, meanwhile RDW was connected with carcinoma-embryonic antigen (CEA) and carbohydrate antigen199 (CA19-9).Conclusion: The preoperative MCHC and RDW were simple and convenient predictive factors for prognosis and progression of patients with PC.

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Association of body mass index with hemoglobin level, erythrocyte indices and red cell distribution width.

The Professional Medical Journal ◽

10.29309/tpmj/2021.28.03.5334 ◽

2021 ◽

Vol 28 (03) ◽

pp. 311-317

Author(s):

Saleemullah Abro ◽

Qurratulain Saleem ◽

Syeda Asiya Parveen ◽

Ali Ahmed ◽

Syed Hafeezul Hussan ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Hemoglobin Level ◽

Red Cell Distribution Width ◽

Deficiency Anemia ◽

Red Cell ◽

Cell Distribution ◽

Distribution Width ◽

Erythrocyte Indices ◽

Study Participants

Objectives: Objective of this study is to evaluate the association of body mass index with hemoglobin Level, erythrocyte Indices and red cell distribution width in medical students of Baqai Medical University Karachi. Study Design: Descriptive cross - sectional study. Setting: Physiology Department of Baqai Medical University Karachi. Period: 15 February 2017 to 15 August 2017. Material & Methods: A total of 500 students were enrolled in this study. The anthropometric measurement [height (m2) and weight (kg)] was recorded for calculation of the Body Mass Index and Complete blood count i-e Hemoglobin%, erythrocyte indices {Mean corpuscular volume(MCV), Mean corpuscular hemoglobin(MCH), Mean corpuscular hemoglobin concentration (MCHC), Red cell distribution width (RDW) were done and Mentzer’s Index was calculated. Statistical Package for the Social Sciences (SPSS) version 22.0 was used to analyze the collected data. Results: It was observed in 500 medical students that 36% of the students were having low hemoglobin % level, while low values of erythrocyte indices (MCH: 38.0%, MCV 36.6% and MCHC 39.0% respectively) and 93.8% of participants had a higher values of RDW in study participants. Iron deficiency anemia (87.2%) and thalassemia (carrier or minor: 12.8%) were determined by using Menterzer Index. Mean body mass index of study participants were 23.04±3.68 and it was observed in study participants that only RDW was significantly associated with obese students (X²=9.878, p=0.02). Conclusion: With regard to our study results, higher percentage (87.2%) of Iron deficiency anemia were observed and having association between red cell distribution width to obesity.

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Markers of Anemia in Children with Type 1 Diabetes

Journal of Diabetes Research ◽

10.1155/2018/5184354 ◽

2018 ◽

Vol 2018 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Ewa Rusak ◽

Anna Rotarska-Mizera ◽

Piotr Adamczyk ◽

Bogdan Mazur ◽

Joanna Polanska ◽

...

Keyword(s):

Type 1 Diabetes ◽

Vitamin B12 ◽

Hemoglobin Concentration ◽

Control Group ◽

Mean Corpuscular Hemoglobin ◽

Red Cell ◽

Cell Distribution ◽

Corpuscular Hemoglobin ◽

Distribution Width

Aim. The aim of the study was to assess markers of anemia in type 1 diabetes (T1D) children, compare them to results obtained in the control group, and estimate their relation to BMI SDS. Methods. 94 (59% ♀) T1D children without other autoimmune disorders, aged 12.5 ± 4.1 years, T1D duration: 4.2 ± 3.6 years, HbA1c 7.3 ± 1.5% (57 ± 12.6 mmol/mol). Sex- and age-matched controls (43 children). In all children, anthropometric measurements, the blood count, iron turnover parameters, and vitamin B12 concentration were taken. Results. T1DM children had significantly higher red cell distribution width (RDW) (13.6 versus 12.6%; p<0.001), hepcidin (0.25 versus 0.12 ng/ml; p<0.001), and vitamin B12 concentrations (459 versus 397 pg/ml; p<0.01) and lower TIBC (59.09 versus 68.15 μmol/l; p<0.001) than in the control group. Logistic regression revealed that RDW, TIBC (both p<0.001), and hepcidin (p<0.05) significantly differentiated both groups. In T1DM children, BMI SDS negatively correlated with vitamin B12 (p<0.01) concentration and mean corpuscular hemoglobin concentration (p<0.05) and positively with TIBC (p<0.01) and HbA1c (p<0.001). Conclusions. Patients and controls differed especially in terms of RDW and TIBC. In studied T1DM children, BMI SDS was associated to iron metabolism parameters and vitamin B12 concentration.

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The Relationship between Red Cell Distribution Width with Erythropoietin Resistance in Iron Replete Hemodialysis Patients

European Journal of Internal Medicine ◽

10.1016/j.ejim.2012.11.017 ◽

2013 ◽

Vol 24 (3) ◽

pp. e25-e29 ◽

Cited By ~ 16

Author(s):

Baris Afsar ◽

Mustafa Saglam ◽

Cetin Yuceturk ◽

Erhan Agca

Keyword(s):

Hemodialysis Patients ◽

Red Cell Distribution Width ◽

Red Cell ◽

Cell Distribution ◽

Distribution Width ◽

Erythropoietin Resistance ◽

The Relationship

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Food intake and serum levels of iron in children and adolescents with attention-deficit/hyperactivity disorder

Brazilian Journal of Psychiatry ◽

10.1590/s1516-44462009005000008 ◽

2009 ◽

Vol 32 (2) ◽

pp. 132-138 ◽

Cited By ~ 33

Author(s):

Márcia Menegassi ◽

Elza Daniel de Mello ◽

Lísia Rejane Guimarães ◽

Breno Córdova Matte ◽

Fernanda Driemeier ◽

...

Keyword(s):

Attention Deficit Hyperactivity Disorder ◽

Food Intake ◽

Children And Adolescents ◽

Attention Deficit ◽

Red Cell Distribution Width ◽

Mean Corpuscular Hemoglobin ◽

Red Cell ◽

Cell Distribution ◽

Distribution Width ◽

Hyperactivity Disorder

Objective: To investigate hematologic variables related to iron deficiency and food intake in attention-deficit/hyperactivity disorder. Method: The sample comprised 62 children and adolescents (6-15 years old) divided into three groups: Group 1: 19 (30.6%) patients with attention-deficit/hyperactivity disorder using methylphenidate for 3 months; Group 2: 22 (35.5%) patients with attention-deficit/hyperactivity disorder who were methylphenidate naïve and Group 3: 21 (33.9%) patients without attention-deficit/hyperactivity disorder. Serum iron, ferritin, transferrin, hemoglobin, mean corpuscular volume, red cell distribution width, mean corpuscular hemoglobin concentration, nutritional diagnostic parameters - Body Mass Index Coefficient, food surveys were evaluated among the groups. Results: The attention-deficit/hyperactivity disorder group drug naïve for methylphenidate presented the highest red cell distribution width among the three groups (p = 0.03). For all other hematologic and food survey variables, no significant differences were found among the groups. No significant correlation between dimensional measures of attention-deficit/hyperactivity disorder symptoms and ferritin levels was found in any of the three groups. Conclusion: Peripheral markers of iron status and food intake of iron do not seem to be modified in children with attention-deficit/hyperactivity disorder, but further studies assessing brain iron levels are needed to fully understand the role of iron in attention-deficit/hyperactivity disorder pathophysiology.

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Hematological changes and resistance of erythrocytes of crimean horses in response to 32 km races

Agricultural science and practice ◽

10.15407/agrisp3.01.066 ◽

2016 ◽

Vol 3 (1) ◽

pp. 66-72

Author(s):

A. Andriichuk ◽

H. Tkachenko ◽

I. Tkachova

Keyword(s):

Red Blood Cells ◽

Blood Cells ◽

Haemoglobin Concentration ◽

Hemoglobin Concentration ◽

Mean Corpuscular Hemoglobin ◽

Red Cell ◽

Cell Distribution ◽

Mean Corpuscular Hemoglobin Concentration ◽

Corpuscular Hemoglobin ◽

Distribution Width

Aim. The aim of the present study was to investigate the alterations of some hematological parameters (hae- matocrit (HCT), haemoglobin concentration (HGB), the count of red blood cells (RBC), mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), red cell distribution width (RDW), as well as resistance of erythrocytes to urea and hydrogen peroxide in horses after 32 km endurance race. Methods. Seven horses from Crimea region (Bilohirsk, Crimean region) were involved in this study. Haematological parameters (haematocrit (HCT), haemoglobin concentration (HGB), the count of red blood cells (RBC), mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), red cell distribution width (RDW)) were determined with use of hematological and biochemical methods. Blood samples have been investigated by centrifugation at 3,000 g for 15 min. The peroxide and osmotic resistance of erythrocytes were determined spectrophoto- metrically at 540 nm by monitoring the rate of erythrocytes disintegration by hydrogen peroxide. Endurance h orses used in this study are trained and conditioned to perform over long distances at moderate speeds. The prolonged exercises were used in endurance race. The walk about 3 km/h for 20 min, the trot about 7 km/h for 15 min, and the canter about 5 km/h for 15 min) and the walk about 1 km were repeated for 1 h (phase I); rest in an outdoor paddock without access to water for 30 min. And phase II: the walk about 3 km/h for 20 min, the trot about 7 km/h for 15 min, and the canter about 5 km/h for 15 min) and the walk about 1 km was repeated for 1 h. Results. The results of the present study showed that adequate endurance race of low intensity could im- prove oxygen-dependent respiratory function in horses from Crimean region. Furthermore, the non-signifi cant increase of red blood cells indices in endurance horses indicate about good athletic level after 32 km endur- ance ride. Statistically signifi cant differences in the percentage of hemolyzed erythrocytes between pre- and post-ride period were observed and thereby signifying an oxidative stress-dependent impairment of erythrocyte stability. Conclusions. The haematological changes caused by various physical efforts refl ect changes in the functions of different systems and can be used for health control and diagnosis of diseases. It also allow the evaluating the level of sport performance, the accuracy of training, and physiological condition of horses.

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