Relationships Between Glycemic Control and Platelet Indices, Atherogenic Index of Plasma and Vitamin D in Patients with Type 2 Diabetes

Çakırca, Gökhan; Çelik, Mine

doi:10.32596/ejcm.galenos.2019.08.047

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…The increased production of oxidative stress caused by the excessive release of ROS may cause tissue damage and hematological alterations such as RBC dysfunction, platelet hyper activation, and endothelial dysfunction. Furthermore, insulin resistance is also associated with endothelial dysfunction, increased plasma level of inflammatory markers, increased WBC count, and platelet hyper activation that may trigger and accelerate vascular complications in T2DM patients [ 13 , 14 ].…”

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confidence: 99%

Comparison of hematological parameters between type 2 diabetes mellitus patients and healthy controls at Dessie comprehensive specialized hospital, Northeast Ethiopia: Comparative cross-sectional study

Ebrahim

Fiseha

Ebrahim³

et al. 2022

PLoS ONE

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Background Diabetes 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. Methods A 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. Results The 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. Conclusions Patients 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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Section: Introductionmentioning

confidence: 99%

Comparison of hematological parameters between type 2 diabetes mellitus patients and healthy controls at Dessie comprehensive specialized hospital, Northeast Ethiopia: Comparative cross-sectional study

Ebrahim

Fiseha

Ebrahim³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

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Assessment of the differences of hematological variables and their correlation with glycemic control among type 2 diabetes mellitus patients in Iraq: Comparative cross-sectional study

Ahmed

2024

Int. J. Sec. Metabolite

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This research aimed to assess the hematological traits of male adults diagnosed with diabetes and investigate the relationship between blood sugar levels with hematological factors among patients. A cross-sectional comparison study was conducted at Fallujah Teaching Hospital from April 1 to July 30, 2023. The research comprised 185 volunteers, including 125 individuals with type 2 diabetes mellitus (65 with well blood sugar levels and 60 with poorly-regulated blood sugar levels) and 60 healthy individuals serving as controls. The evaluation of hematological parameters was conducted using Swelab-Alfa. An independent T-test was used for assessment. The patients exhibited substantially decreased mean absolute lymphocyte count, Hct, MCHC, and PLT values compared to the control group. The diabetic group had significantly higher mean values for total neutrophil count, absolute basophil counts, RDWSD, RDWCV, PDW, PLCR, and MPV than the control group. Patients with poor glycemic control had substantially elevated levels of Mon, Eos, Bas, MCHC, PLT, MPV, PLCR, and PCT. In contrast, individuals with poor glycemic control had substantially lower levels of Neu, RBC count, and PDW. The findings demonstrated a statistically significant positive connection between neutrophil count, MCV, MCH, MCHC, PDW, MPV, PLCR, and PCT with FBG. Lym, RBC count, and Hct exhibited a statistically significant inverse connection with FBG in individuals with type 2 diabetes mellitus (T2DM). This research demonstrated a notable impact of diabetes mellitus, poor glycemic control, and fasting blood glucose levels on some hematological markers.

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The Association between the Atherogenic Index of Plasma and Cardiometabolic Risk Factors: A Review

2023

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Background: Metabolic syndrome (MetS) is a condition caused by a combination of cardiometabolic risk factors (CMR). MetS leads to type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD), both of which place a burden on not only the patients but also the healthcare system. Diagnostic criteria for MetS vary, and there is no universal tool to detect it. Recently, many studies have found positive associations between the atherogenic index of plasma (AIP) and some CMR factors. Therefore, a comprehensive review was needed to recapitulate these studies and qualitatively estimate the likelihood of AIP being associated with CMR. We aimed to review and summarise observational data on AIP and CMR factors and verify their association. Materials and Methods: A review of observational studies was conducted by searching “atherogenic index of plasma” in PubMed, One Search, and the Cochrane library. A total of 2068 articles were screened, and 32 were included after excluding paediatric, non-human and interventional studies, and those carried out on cohorts with conditions unrelated to MetS or on lipid-lowering medication. The Newcastle-Ottawa scale was used to assess their quality. Results: Most studies that reported high waist circumference (WC), triglycerides (TG), insulin resistance (IR) and low high-density lipoprotein cholesterol (HDL-C) concentration, also reported high AIP. Few studies investigated blood pressure (BP) and some discrepancies existed between their results. Conclusion: AIP may be associated with WC, TG, IR, and HDL-C. It is unclear if AIP is associated with BP. The current study’s results should be used to inform futureward a meta-analysis to be seen quantitatively. It is also recommended that more cohort studies stratified by gender and ethnicity be performed to ascertain if AIP can predict MetS before it manifests.

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Relationships Between Glycemic Control and Platelet Indices, Atherogenic Index of Plasma and Vitamin D in Patients with Type 2 Diabetes

Cited by 3 publications

References 34 publications

Comparison of hematological parameters between type 2 diabetes mellitus patients and healthy controls at Dessie comprehensive specialized hospital, Northeast Ethiopia: Comparative cross-sectional study

Comparison of hematological parameters between type 2 diabetes mellitus patients and healthy controls at Dessie comprehensive specialized hospital, Northeast Ethiopia: Comparative cross-sectional study

Assessment of the differences of hematological variables and their correlation with glycemic control among type 2 diabetes mellitus patients in Iraq: Comparative cross-sectional study

The Association between the Atherogenic Index of Plasma and Cardiometabolic Risk Factors: A Review

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