scholarly journals Combined Inositol Hexakisphosphate and Inositol Supplement Consumption Improves Serum Alpha-Amylase Activity and Hematological Parameters in Streptozotocin-Induced Type 2 Diabetic Rats

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Shadae R. Foster ◽  
Lowell L. Dilworth ◽  
Jean Sparks ◽  
Ruby L. Alexander-Lindo ◽  
Felix O. Omoruyi
Keyword(s):  
Blood Count ◽  
Complete Blood Count ◽  
Amylase Activity ◽  
Diabetic Rats ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Type 2 Diabetic

This study evaluated the effect of combined inositol hexakisphosphate (IP6) and inositol supplement on organ weight, intestinal ATPase activities, complete blood count, and serum analytes in streptozotocin (STZ)-induced type 2 diabetic rats. High-fat diet and a single intraperitoneal injection of streptozotocin (35 mg/kg body weight) were used to induce type 2 diabetes mellitus in Sprague–Dawley rats. The diabetic groups were then treated with either combined IP6 and inositol supplement or glibenclamide for four weeks. Organ weights, intestinal ATPase activities, complete blood count, serum α-amylase, total protein, albumin, and globulin content were determined. Pancreatic weight was significantly reduced while relative kidney and liver weights were elevated in the group treated with combined IP6 and inositol supplement compared to the nondiabetic control. Serum α-amylase activity for the glibenclamide and combination treated groups was significantly improved compared to that of the untreated diabetic group. Red cell distribution width percentage was significantly lower in the combination treated group compared to that in the untreated diabetic group, while intestinal ATPase activities were unaffected by the treatment regime. Combined IP6 and inositol supplement consumption may protect people with diabetes from increased risk of cardiovascular diseases due to the supplement's ability to maintain red cell distribution width percentage towards the normal control group.

scholarly journals Red cell distribution width: a new tool for the severity prediction of sleep apnoea syndrome in children

2020 ◽  
Vol 6 (4) ◽  
pp. 00278-2019
Author(s):  
Daniel Morell-Garcia ◽  
Núria Toledo-Pons ◽  
Pilar Sanchis ◽  
Josep Miquel Bauça ◽  
José María Sánchez ◽  
...  
Keyword(s):  
Blood Count ◽  
Complete Blood Count ◽  
Sleep Apnoea ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
C Reactive Protein ◽  
Distribution Width ◽  
Reactive Protein ◽  
Severity Prediction

IntroductionRed cell distribution width (RDW) is a parameter included in the complete blood count which informs about the size of the circulating red blood cell population and its distribution. In adults, an increase in RDW was shown to be associated both with obstructive sleep apnoea (OSA) and with an increase in cardiovascular mortality. The aim of this study was to determine whether RDW is a potential biomarker for screening children with moderate–severe OSA.MethodsAn observational study in snoring patients was performed. All patients underwent a sleep study and were classified either as simple snorers (apnoea–hypopnoea index (AHI) <1 event·h−1) or as patients with OSA (mild AHI ≥1 to <5 events·h−1; moderate–severe AHI ≥5 events·h−1). Blood analyses (complete blood count and C-reactive protein) were performed for every individual.ResultsA total of 175 individuals were recruited. The mean age was 8.3±3.6 years. Correlation studies between RDW and several sleep-related parameters showed negative significant associations with minimum oxygen saturation, and positive significant associations with oxygen desaturation index (≥3% and ≥4%), AHI and the arousal index. A predictive model for paediatric severe OSA (AHI ≥5 events·h−1) was found based on mean corpuscular haemoglobin concentration (MCHC) <34.9 g·dL−1 and RDW >13.1% values, adjusting for body mass index z-score and age (area under the curve 0.657; p=0.004). In addition, differences were found in eosinophil count and C-reactive protein concentrations among the three subgroups.ConclusionsIn children, RDW stands out as a biomarker associated with the severity of OSA. The use of RDW and MCHC could be a simple but useful tool for the severity prediction of paediatric OSA in snoring patients.

scholarly journals Red cell distribution width and erythrocyte osmotic stability in type 2 diabetes mellitus

2021 ◽  
Vol 25 (5) ◽  
pp. 2505-2516
Author(s):  
Maria Aparecida Knychala ◽  
Mario da Silva Garrote‐Filho ◽  
Breno Batista da Silva ◽  
Samantha Neves de Oliveira ◽  
Sarah Yasminy Luz ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Osmotic Stability

scholarly journals Red cell distribution width and mortality in pediatric sepsis

2017 ◽  
Vol 56 (6) ◽  
pp. 320 ◽  
Author(s):  
Trina Devina ◽  
Munar Lubis ◽  
Erna Mutiara ◽  
Gema Nazri Yanni ◽  
Rina Amalia C. Saragih ◽  
...  
Keyword(s):  
Complete Blood Count ◽  
Cross Sectional Study ◽  
Red Cell Distribution Width ◽  
Hematological Parameter ◽  
Red Cell ◽  
Cell Distribution ◽  
Chi Square ◽  
Cross Sectional ◽  
Distribution Width ◽  
Pediatric Sepsis

Background Red cell distribution width (RDW) is a hematological parameter routinely obtained as part of the complete blood count. Recently, RDW has emerged as a potential independent predictor of clinical outcomes in adults with sepsis. However, RDW as a mortality predictor in pediatric populations has not been well established.Objective To determine the relationship between RDW value and mortality outcomes in pediatric sepsis patients.Methods We performed a cross-sectional study of 40 consecutive pediatric patients with sepsis admitted to the PICU from December 2013 to March 2014. All patients’ RDW were collected within 24 hours of sepsis diagnosis. We determined the association between RDW and hemoglobin (Hb) using Spearman’s correlation. The RDW values of 11.5-14.5% were considered to be normal while those > 14.5% were considered to be elevated. We compared mortality and PICU length of stay (LoS) between the normal and elevated RDW groups using Chi-square and Mann-Whitney tests.Results The median age of patients was 34 months (range 2 months to 17 years). There were 28 (70%) male subjects. Subjects’ median RDW was 14.8% (range 11.2-27.8%) and was not correlated with Hb (r=0.056; P=0.73). Mortality rates in the normal and elevated RDW groups were 40% and 45%, respectively. There were no significant associations between RDW group and mortality (P=0.749) or PICU LoS (P=0.350).Conclusion Unlike in adults, RDW values are not correlated with mortality in pediatric sepsis patients. 

scholarly journals Red Cell Distribution Width Has a Negative Prognostic Role in Dogs with Myxomatous Mitral Valve Disease

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 778
Author(s):  
Carlo Guglielmini ◽  
Chiara Martina Valentini ◽  
Barbara Contiero ◽  
Carlotta Valente ◽  
Helen Poser
Keyword(s):  
Mitral Valve ◽  
Mitral Valve Disease ◽  
Complete Blood Count ◽  
Cox Proportional Hazards ◽  
Valve Disease ◽  
Red Cell Distribution Width ◽  
Hematological Parameter ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

Red cell distribution width (RDW) is a quantitative measurement of anisocytosis. This hematological parameter is an important prognostic biomarker for different cardiovascular disorders in humans but its influence on survival has been poorly investigated in dogs with cardiovascular disease. The RDW and various clinical, complete blood count, serum biochemical and echocardiographic variables were retrospectively investigated in 146 client-owned dogs with myxomatous mitral valve disease (MMVD) at various disease stages, with or without concurrent diseases and treatment. Laboratory variables, including RDW, urea, and white blood cell (WBC), in addition to the echocardiographic variable left atrium to aorta ratio were found to be independent predictors of all-cause mortality at six months in a multivariable Cox proportional hazards regression model. In particular, the hazard ratio of RDW was 1.203 (95% confidence interval = 1.045–1.384; p = 0.010). The negative effect of increased RDW on outcome was confirmed using Kaplan–Meier curve analysis. The results of this study indicate that RDW acted as an independent predictor of negative outcome in dogs with MMVD.

scholarly journals Correlation of Red Blood Cell Distribution Width (RDW) and Hemoglobin A1C (HbA1c) Levels, In Patients with Type 2 Diabetes Mellitus

2020 ◽  
Vol 11 (1) ◽  
pp. 1160-1164
Author(s):  
Adithya Biswas ◽  
Chitra Srinivasan
Keyword(s):  
Diabetes Mellitus ◽  
Glycemic Control ◽  
Blood Count ◽  
Complete Blood Count ◽  
Age Group ◽  
Cell Distribution ◽  
Distribution Width ◽  
Positive Correlation ◽  
Hba1c Levels

The incidence of Diabetes Mellitus is increasing worldwide, with almost 1/3 of adults being affected. It is the major contributor to the morbidity of a man with its multi-organ system complications. Control of blood glucose levels is vital to decrease organ damage and complications. Routine diagnostic tests conducted are blood glucose, lipid profile, renal function tests, HbA1c, and insulin assays with a baseline CBC (Complete Blood Count). HbA1c values continue to be the gold standard for the assessment of glycemic control. The RDW (Red Cell Distribution Width) is a parameter of Complete Blood Count. Several studies have shown elevated RDW values in patients with poor glycemic control and as an early marker for Diabetic nephropathy and cardiovascular complications. 610 patients with type 2 Diabetes Mellitus attending the Diabetic Clinic in Saveetha Medical College were included in a cross-sectional study to compare  HbA1c values with RDW values with age and gender. The ratio of patients with poor HbA1c levels: acceptable HbA1c levels of glycemic control was1:4 in the age group 25 years and below. The ratio rose to 1:1 in the 36-45 years age group with a reversal of ratio to 4:1 in patients >65years of age. There was a significant correlation between the values of HbA1c with age - with the number of patients increasing with age and showing elevated HbA1c levels. There was no significant correlation between the values of RDW and age. There was a significant positive correlation between HbA1c and RDW- (p = 0.003, < 0.05 standard). For patients with HbA1c values between 6.2- 6-8 %, there was a particularly strong positive correlation with RDW values. In conclusion, there was a significant positive correlation between values of RDW and HbA1c, which emphasis that RDW is a good predictive factor for glycemic control.

Abstract 14819: The Red Cell Distribution Width Predicts Mortality among Patients Free from Systemic Inflammation

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Benjamin D Horne ◽  
Joseph B Muhlestein ◽  
Sterling T Bennett ◽  
Jeffrey L Anderson
Keyword(s):  
Complete Blood Count ◽  
Collaborative Study ◽  
High Sensitivity ◽  
Red Cell Distribution Width ◽  
Causal Mechanism ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Mortality And Morbidity ◽  
Markers Of Inflammation

Background: The causal mechanism is unknown for why the red cell distribution width (RDW) predicts mortality and morbidity outcomes. One explanation is an inflammatory process: statistically significant, weak magnitude correlations (r<0.30) have been found between RDW and markers of inflammation. This study evaluated the association of RDW with mortality in patients with normal levels of inflammation, as indicated by normal high-sensitivity C-reactive protein (hsCRP) and white blood cell count (WBC). Methods: Intermountain Heart Collaborative Study patients undergoing coronary angiography (N=650) from 1994-2000 were evaluated if they never smoked, were free of acute myocardial infarction (MI), and had baseline hsCRP≤3 mg/L, WBC>4 K/μL, and WBC≤10.6 K/μL. RDW and WBC were tested clinically at index hospitalization via the complete blood count; hsCRP testing used stored research samples. Subjects were followed until December, 2013, and all-cause mortality was determined from hospital records, Utah death certificates, and US Social Security data. Results: Age averaged 66.7±11.6 years, 31.1% were female, and 62.9% died during a mean follow-up of 15.2±1.6 years (range:12.6-19.6 years). Continuous RDW predicted mortality after adjustment for demographics, risk factors, comorbidities, and baseline treatments (hazard ratio [HR]=1.15 per +1%, 95% CI=1.06, 1.26; p=0.002). In quartiles, this was significant for Q4 vs. Q1 (survival 23.6% vs. 43.4%, HR=1.56, CI=1.17, 2.08; p=0.003), but not Q2 (HR=1.18, p=0.29) or Q3 (HR=1.08, p=0.60) vs.Q1. In subjects with hsCRP<1 mg/L (n=259), RDW (adj. HR=1.13 per +1%, CI=0.99, 1.29, p=0.08) and RDW quartiles [Q2: adj. HR=1.70 (p=0.036), Q3: HR=1.88 (p=0.020), Q4: HR=1.97 (p=0.013) vs. Q1] predicted mortality. Among subjects free from heart failure (LVEF≥40%), diabetes, prior or current coronary disease, prior MI, stroke, renal failure, COPD, and depression (n=66), RDW had adjusted HR=1.70 per +1% (CI=1.06, 2.75; p=0.029). Conclusions: RDW predicted mortality in patients with normal hsCRP and WBC. This suggests that RDW marks the risk of a breadth of health concerns, likely including but not limited to inflammation. Further investigation is required to explain the causes of RDW elevation.

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