Hematological indices and their correlation with fasting blood glucose level and anthropometric measurements in type 2 diabetes mellitus patients in Gondar, Northwest Ethiopia

Biadgo, Belete; Melku, Mulugeta; Abebe, Solomon Mekonnen; Abebe, Molla

doi:10.2147/dmso.s97563

Cited by 86 publications

(104 citation statements)

References 49 publications

(60 reference statements)

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“…Ethiopia is among the countries in the sub-Saharan region that is facing an increasing burden related to non-communicable diseases. For instance, in previous Ethiopian studies, the prevalence of metabolic syndrome (Mets) and diabetes among the working population was reported as 14% and 6.5% respectively, while the prevalence of high blood pressure among these population ranges from 19.6%-30.3% (11)(12)(13). The international diabetic federation (IDF) in its 2014 report estimated the number of people living with diabetes to be 4.9 million and about 2.9 million people living with impaired blood glucose in Ethiopia.…”

mentioning

confidence: 99%

Central obesity, not BMI explains cardio-metabolic risks among university employees, Ethiopia – a cross-sectional study

Janakiraman

Abebe

Chala

et al. 2019

Preprint

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Background: Evidence suggests that the middle and low-income countries such as Ethiopia are facing the growing epidemic of both communicable and non-communicable diseases creating burden on the healthcare system. The increasing prevalence is attributed to sedentarism, lifestyle changes and the presence of other cardio-metabolic risk factors. Therefore this study was designed to assess the prevalence and association of overweight, obesity, and cardio metabolic risks and to explore if there was any agreement among the anthropometric measurements among the academic employees of the University of Gondar, Ethiopia. Methods: An institutional based cross-sectional study was conducted using the WHO stepwise approach and recommendations on 381 academic staff of the university. In addition, physical measurements such as weight, height, waist and hip circumferences, and biochemical measures such as blood pressure and fasting blood glucose level (peripheral blood samples by finger puncture) were measured using standardized tools. Result: The mean age of the participants was 33.5 years. The prevalence of obesity among the study participants defined by body mass index, waist circumference, waist height ratio and waist hip ratio was 13.1%, 33.6%, 51.9% and 58.5% respectively. The prevalence of diabetes was 4.7% among which 1.3% was not diagnosed prior to this study. About 53 (13.9%) of the study sample were found to be hypertensive (6.3% known versus 29 7.6% newly diagnosed). Among the participants 39.4% and 23.4% were found to be pre hypertensive and pre diabetic respectively. WC was significantly associated with HTN (AOR = 5.14; 2.50, 9.72), pre-DM (AOR = 4.03; 2.974, 5.96), DM (AOR = 3.29; 1.09, 6.01). In addition, WHtR was significantly associated with Pre-HTN (AOR = 2.69; 1.49, 4.58), HTN (AOR = 2.06; 1.01, 6.31), and DM (AOR = 1.85; .76, 4.32). Conclusion: This study results revealed the variable prevalence between general obesity and the anthropometric indices (IDF cutoff) defining central obesity; WC, WHtR, and WHR among the participants. The result of this study suggests that the constructs of central obesity, not BMI has to be used to screen risks of cardio-metabolic risks among Ethiopians. Keywords: Diabetes mellitus, Hypertension, pre-hypertension, pre-diabetes, Ethiopia

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confidence: 99%

Central obesity, not BMI explains cardio-metabolic risks among university employees, Ethiopia – a cross-sectional study

Janakiraman

Abebe

Chala

et al. 2019

Preprint

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“…Moreover, the duration of illness in T2DM patients achieved a significant positive correlation with platelet count and volume (Biadgo et al 2016). Collagen-induced platelet aggregation and granule release are markedly impaired in the absence of SLP-76,.…”

Section: Discussionmentioning

confidence: 87%

Serum Cytokine Dependent Hematopoietic Cell Linker (CLNK) as a Predictor for the Duration of Illness in Type 2 Diabetes Mellitus

Al-Fadhel

Al-Ghuraibawi

Ali

et al. 2020

Preprint

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Type 2 diabetes mellitus (T2DM) is an endocrine illness associate with various changes in the immune system and adaptor protein levels. Cytokine dependent hematopoietic cell linker (CLNK) is an adapter protein that regulates immune receptor signaling and acts as a regulator of the receptor signaling of T-cells and natural killer T-cell. The role of CLNK in T2DM is not studied previously. In the present study, serum CLNK level was measured and correlated with some sociodemographic and insulin resistance (IR) parameters. This is achieved by performing measurement of CLNK and insulin parameters (glucose, insulin, and HbA1c in addition to the calculation of the functions of IR (HOMA2IR), insulin sensitivity (HOMA%S), and beta-cell function (HOMA%B)) in 60 T2DM patients and 30 controls. The results indicated a significant increase (p=0.025) in serum CLNK in patients group in comparison with the controls. Multivariate generalized linear model (GLM) analysis revealed no significant effect of age, BMI, and sex on the CLNK level. The results of tests for between-subjects showed that the CLNK affects diagnosis significantly (F=7.445, p=0.008, partial η2 =0.081) and its effect is approximately the same as the effect of insulin (F=8.107, p=0.006, partial η2 =0.087). The correlation study showed a highly significant positive correlation between CLNK and the duration of disease (rho=0.420, p<0.001). It can be concluded that the increase CLNK in T2DM revealing the role of the adaptor proteins level in the nature of disease. Elevation of CLNK level may be used as a predictor for diabetes complications, which needs more investigations.

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“…Several haematological changes affecting the RBCs, WBCs and the coagulation factors are shown to be directly associated with DM. 11,12 Haematological abnormalities reported in DM patients include RBCs, WBCs and platelet dysfunction. 13,14 Anaemia can be defined as a haemoglobin level <13.5 g/dL in men and 12.0 g/dL in women.…”

Section: Markers Of Anaemiamentioning

confidence: 99%

“…12,34 Abnormalities of lipid metabolism, particularly hypertriglyceridemia and low levels of HDL, are almost invariably found in patients with impaired glucose homeostasis (hyperglycaemia). Hypertriglyceridemia can lead to triglyceride-rich VLDL that potentiates platelet activity, an effect that is mediated partly through apolipoprotein E and an interaction with the platelet-LDL receptor.…”

Section: Markers Of Dyslipidaemiamentioning

confidence: 99%

Diabetes mellitus: A review of some of the prognostic markers of response to treatment and management

Agu

2018

JMH

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Background: The WHO defined ‘diabetes mellitus’ (DM) as a metabolic disorder characterised by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from the defect in insulin secretion, or inaction, or both. When not identified early and controlled, acute and chronic life-threatening consequences may result. Identifying DM early for treatment and management, as well as clinically monitoring recovery and improvement during treatment, involves the assessments of biomarkers. The types, choice, sensitivity and descriptive information trends of these biomarkers are very important. Aim: Some prognostic biomarkers and parameters that this review identified include glycated haemoglobin, white blood cells, mean neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, total leukocytes and neutrophils, plasma low-density lipoprotein, high-density lipoprotein and very low-density lipoprotein, platelet, fibrinogen, D-dimer and C-reactive proteins. Results: These parameters display increases in DM, while red blood cell, haemoglobin concentration, activated partial thromboplastin time, prothrombin time and partial thromboplastin time are decreased. Conclusion: With sound knowledge of the variations of these markers and parameters, observed reversal during treatment and management of DM and its complications can be better monitored, and guided decisions can be made.

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Hematological indices and their correlation with fasting blood glucose level and anthropometric measurements in type 2 diabetes mellitus patients in Gondar, Northwest Ethiopia

Cited by 86 publications

References 49 publications

Central obesity, not BMI explains cardio-metabolic risks among university employees, Ethiopia – a cross-sectional study

Central obesity, not BMI explains cardio-metabolic risks among university employees, Ethiopia – a cross-sectional study

Serum Cytokine Dependent Hematopoietic Cell Linker (CLNK) as a Predictor for the Duration of Illness in Type 2 Diabetes Mellitus

Diabetes mellitus: A review of some of the prognostic markers of response to treatment and management

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