ArticlePloS one2022
Comparison of hematological parameters between type 2 diabetes mellitus patients and healthy controls at Dessie comprehensive specialized hospital, Northeast Ethiopia: Comparative cross-sectional study.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
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29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Key biomarkers in type 2 diabetes patients: A systematic review.Diabetes, obesity & metabolism · 2025Pooled it
- Changes in selected hematological parameters in patients with type 1 and type 2 diabetes: a systematic review and meta-analysis.Frontiers in medicine · 2024Pooled it
- Prevalence and associated factors of overweight and obesity among persons with type 2 diabetes in Africa: a systematic review and meta-analysis.Annals of medicine · 2023Pooled it
- Trial
- A machine learning-based framework for predicting type 2 diabetes mellitus using hematological indices.American heart journal plus : cardiology research and practice · 2026Article
- Prevalence and Determinants of Anemia and Iron Deficiency Anemia Among Patients With Diabetes Mellitus in Cameroon: An Analytical Cross-Sectional Study.Health science reports · 2026Article
- Article
- In newly diagnosed diabetes, hyperglycemia is associated with increased brain iron deposition, measured by MRI-based Quantitative Susceptibility Mapping (QSM).Journal of advanced research · 2026Article
- Red Blood Cells in Normal and Pathological States: Redox Reactions of Hemoglobin.Molecules (Basel, Switzerland) · 2026Review
- Article
- Evaluation of Hematological Changes in Type 2 Diabetes Mellitus and Their Correlation with Glycemic Control.Journal of pharmacy & bioallied sciences · 2025Article
- Article
- Evaluation of Complete Blood Count Parameters in Patients With Diabetes Mellitus: A Systematic Review.Health science reports · 2025Review
- The Association Between HbA1c Levels And Hematological Biomarkers in Adults with Type 2 Diabetes Mellitus: A Retrospective Study.International journal of general medicine · 2025Article
- Evaluation of Hematological Parameters in Diabetic Patients.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2025Article
- Hematological parameters of newborns from diabetic mothers in Gandhi memorial hospital, Addis Ababa, Ethiopia.PloS one · 2025Article
- Hematological Parameters Among Adult Patients Diagnosed With Type 2 Diabetes Mellitus at Jimma University Medical Center, Jimma, Southwest, Ethiopia.Advances in hematology · 2025Article
- A Review on Risk Factors, Traditional Diagnostic Techniques, and Biomarkers for Pneumonia Prognostication and Management in Diabetic Patients.Diseases (Basel, Switzerland) · 2024Review
- Haemoglobin types and variant interference with HbA1c and its association with uncontrolled HbA1c in type 2 diabetes mellitus.BMC research notes · 2024Article
- Association between hematological indices and blood glucose level among patients with type 2 diabetes.Irish journal of medical science · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
backgroundDiabetes mellitus (DM) is a chronic condition associated with raised levels of blood glucose due to the body cannot produce any or enough insulin hormone or cannot be effectively utilized the produced insulin by the body. Patients with poorly controlled diabetes show a significant alteration in various parameters including metabolic, cellular, immunological, and hematological disturbances that leads to vascular complications. Thus, the main aim of this study is to compare hematological parameters between type 2 diabetes mellitus (T2DM) patients and healthy controls.
methodsA comparative cross-sectional study was conducted in Dessie comprehensive specialized hospital from January to June 2021. A total of 240 study participants consisting of 120 T2DM patients and 120 healthy controls were recruited using a systematic random sampling technique. Hematological parameters were determined using the DIRUI BF6500 automated hematology analyzer. Independent T-test was used to compare the mean of hematological parameters between T2DM patients and healthy controls. Pearson correlation test was used to determine the correlation between FBG, BMI, SBP, DBP, and hematological parameters in T2DM patients. Multivariate logistic regression was used to assess the association between socio-demographic and clinical variables with anemia. The result was expressed in mean and standard deviation and presented in texts and tables. P-value < 0.05 was considered to be statistically significant.
resultsThe mean and standard deviation of monocyte count, basophil count, monocyte %, basophil %, RBC count, hematocrit, MCV, MCH, RDW-SD, MPV, PDW, PLC-R, and plateletcrit showed a significant difference between T2DM patients and healthy control group. Pearson correlation coefficient showed that the total WBC count, neutrophil count, monocyte count, basophil count, RDW-CV, PDW, MPV, PLC-R, and plateletcrit were statistically positively correlated with FBG whereas RBC count, Hgb, hematocrit, MCV, MCH, and RDW-SD were statistically negatively correlated with FBG in T2DM patients. Moreover, total WBC count, neutrophil count, monocyte count, basophil count, Hgb, and plateletcrit were statistically positively correlated with BMI while RBC count, Hgb, hematocrit, MCV, MCH, and RDW-SD were statistically negatively correlated with BMI in T2DM patients. On the other hand, DBP was significantly positively correlated with platelet count and RDW-CV whereas SBP also significantly positively correlated with total WBC count, neutrophil count, basophil count, and PDW. Besides, DBP and SBP showed statistically significant negative correlations with RBC count, Hgb level, and Hct value in T2DM patients. The overall prevalence of anemia was 25.8% in T2DM patients with a higher prevalence of anemia (16.7%) in female patients. Multivariate logistic regression revealed that being non-employee worker (AOR: 3.6, 95% CI, 1.4-46.0, P = 0.002), presence of neuropathy (AOR: 13.40, 95% CI, 6.83-26.28, P = 0.00), and duration of the disease ≥ 5 years (AOR = 3.2, 95% CI, 1.2-15.3, P = 0.03) have had statistically significant association with anemia inT2DM patients.
conclusionsPatients with T2DM may have significant alterations in various hematological parameters. Hematological parameters should be regularly tested for early diagnosis and proper management of diabetes-related complications.
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