Association of mean platelet volume with incident type 2 diabetes mellitus risk: the Dongfeng–Tongji cohort study

Li, Zhaoyang; Wang, Jing; Yuan, Jing; Guo, Huan; Zhang, Xiaomin; Zheng, Dan; Tang, Yuhan; Yang, Handong; He, Meian

doi:10.1186/s13098-018-0333-6

Cited by 9 publications

(8 citation statements)

References 42 publications

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“…MPV can differentiate DM patients from HC at a cutoff value of 9.65fl with a sensitivity of 69.6%, specificity of 67.9%, and with an AUC of 0.747, which was significant. Our finding was in line with studies reported from Turkey [ 35 , 52 , 53 ], India [ 34 , 35 , 54 ], and China [ 55 ]. Several studies suggest that platelet sensitivity in DM patients increases due to the action of the various platelet aggregation inductors including ADP, thrombin, and collagen as well as metabolic abnormalities associated with insulin resistance that affect the functional activity of platelet [ 30 , 42 , 56 ], which could likely result in an alteration of platelet indices in patients with DM.…”

Section: Discussionsupporting

confidence: 93%

Role of platelet indices as diagnostic and predictive biomarkers for comorbidity of diabetes and metabolic syndrome in southern Ethiopia: A comparative cross-sectional study

et al. 2022

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Background Metabolic syndromes (MetS) and diabetes mellitus (DM) comorbidity is a growing major global public health problem with huge morbidity and mortality. It is a pro-inflammatory and prothrombotic disorder characterized by alteration of platelet indices and increased platelet activation, however, the tendency to use them in diagnosis is not yet fully evaluated in our context and there is limited evidence on the role of platelet indices in predicting and differentiating DM+MetS comorbidity in Ethiopia. Thus, this study aimed to evaluate platelet indices in HC, DM, and DM+MetS, and to determine their role in the prediction of DM+MetS comorbidity risk and the distinction between DM+MetS and DM or healthy persons in southwest Ethiopia. Method and materials A comparative cross-sectional study was conducted in Wolkite University specialized hospital from March to August 2021. A total of 336 study participants (112 healthy controls (HC), 112 DM, 112 DM+MetS) was included in this study. Anthropmetric data were measured and the venous blood sample was collected to determine platelet indices, lipid profiles, and blood glucose levels. The SPSS version 21 statistical software was used to perform receiver operating curve (ROC), one-way ANOVA, and independent T-test analysis. The p-value for statistical significance was set at <0.05. Result In the present study, we found a significant difference in the mean value of PLT, MPV, and PDW between DM+MetS, DM, and HC. A statistically significant difference in the mean value of MPV and PDW was observed between HC and DM+MetS as well as DM and DM+MetS (p-value<0.001). At the cutoff value of 9.65fl with a sensitivity of 81.3% and a specificity of 67.9%, MPV differentiates DM+MetS from HC with an AUC of 0.859. MPV can differentiate DM+MetS from DM at a cutoff value of 10.05fl with sensitivity, specificity, and an AUC of 67.9%, 65.2%, and 0.675, respectively. At the cutoff value of 9.65fl with a sensitivity of 69.6% and a specificity of 67.9%, MPV differentiates DM from HC with an AUC of 0.747. The best platelet parameter identified in this study for predicting the presence of DM+MetS comorbidity was MPV (AUC=0.859; 95%CI=0.81-0.90). Conclusion In this study, a significant difference in the mean value of PLT, MPV, and PDW was found between DM+MetS, DM, and HC. The mean value of platelet indices showed significant increases in DM+MetS patients in comparison to HC and DM. MPV has been identified as a good potential marker to predict DM+MetS comorbidity and to differentiate DM+MetS comorbidity from the HC or DM. Our results show that MPV could be a good hematological marker to differentiate DM+MetS comorbidity from the HC or DM, and may offer supportive information for early diagnosis, prevention, and control. Thus, the findings of this study should be taken into account for the prevention and control of DM+MetS comorbidity.

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Section: Discussionsupporting

confidence: 93%

Role of platelet indices as diagnostic and predictive biomarkers for comorbidity of diabetes and metabolic syndrome in southern Ethiopia: A comparative cross-sectional study

et al. 2022

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“…Hypertension, diabetes mellitus, dyslipidemia, coronary artery disease, and smoking habits are among the most important medical pre-conditions and stroke-related comorbidities. Several lines of evidence from the literature suggest that a direct correlation exists between MPV and these traditional cerebrovascular risk factors [55][56][57][58][59][60]. MPV was significantly higher (0.65 fL) in individuals with coronary artery disease and patients with high MPV had 17% higher chance of having cardiovascular events compared to patients with low MPV [61].…”

Section: Discussionmentioning

confidence: 99%

Platelet count and mean volume in acute stroke: a systematic review and meta-analysis

Sadeghi

Sándor

Zsóri³

et al. 2019

Platelets

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Changes of mean platelet volume (MPV) and platelet count (PC) could be a marker or a predictor of acute stroke (AS). We conducted a systematic review and meta-analysis of the published literature on the reporting of MPV and PC in AS. Studies were included in accordance with Patient Population or Problem, Intervention, Comparison, Outcomes, and Setting framework. The PRISMA strategy was used to report findings. Risk of bias was assessed with the Newcastle-Ottawa Scale. We included 34 eligible articles retrieved from the literature. PC was significantly lower in AS patients [standardized mean difference (SMD) = − 0.30, (95% CI: − 0.49 to − 0.11), N = 2492, P = .002] compared with controls (N = 3615). The MPV was significantly higher [SMD = 0.52 (95% CI: 0.28-0.76), N = 2739, P < .001] compared with controls (N = 3810). Subgroup analyses showed significantly lower PC in both ischemic stroke (Difference SMD = −0.18, 95% CI: −0.35-0.01) and hemorrhagic stroke (−0.94, −1.62 to −0.25), but only samples by citrate anticoagulant showed significantly lower result for patients compared to controls (−0.36, −0.68 to −0.04). Ischemic stroke patients had higher MPV (0.57, 0.31-0.83), and samples by Ethylenediaminetetraacetic acid (EDTA) anticoagulant showed significantly higher result for patients compared to controls (0.86, 0.55--1.17). PC and MPV appeared to be significantly different between patients with AS and control populations. MPV was significantly higher in ischemic stroke and PC was significantly lower in both ischemic and hemorrhagic strokes. These characteristics might be related to AS and associated with it. It is advisable to pay attention to elapsed time between phlebotomy and hematology analysis, anticoagulant and hemocytometer types in AS. Systematic review registration: This meta-analysis is registered on the International Prospective Register of Systematic Reviews (PROSPERO) under registration number CRD42017067864 (https:// www.crd.york.ac.uk/prospero/display_record.php?RecordID=67864).

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“…An increase in MPV, PDW, and P-LCR is a potential biomarker of an increase in platelet size and reactivity. 5 , 21 , 26 , 27 In hyperglycemic condition, the higher blood glucose level increases the production of glycoproteins and causes non-enzymatic glycation of these proteins on the surface of the platelets, which decrease platelets membrane fluidity and causing hyperactive platelets. 28 , 29 Plasma glucose concentration also directly enhances the activation of the arachidonic acid pathway leads to increased thromboxane A 2 formation which is one of the potent platelet activators and contributes to hyperactivity of platelets in diabetic patients.…”

Section: Discussionmentioning

confidence: 99%

Platelet Indices and Its Association with Microvascular Complications Among Type 2 Diabetes Mellitus Patients in Northeast Ethiopia: A Cross-Sectional Study

Taderegew¹,

Woldeamanuel²,

Emeria³

et al. 2021

DMSO

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Purpose Platelet indices have been shown to be associated with complications of diabetes mellitus (DM). However, the clinical relevance of platelet indices for assessing the risk of being microvascular complications among patients with DM is largely overlooked. Hence this study aimed to determine the association of platelet indices with microvascular complications among type 2 DM patients. Patients and Methods A hospital-based cross-sectional study was conducted among 352 type 2 DM patients from April 1 to May 30/2019 at Debre Berhan Referral Hospital. Data were collected by interview, physical measurements, document review, and laboratory tests. Then the data were entered into Epi-data manager-4.4.1.0 and exported into SPSS-25 for analysis. Platelet indices were compared between participants with and without microvascular complications using an independent t -test. A logistic regression model was used to assess the association between microvascular complications and platelet indices. All inferences were considered statistically significant at P<0.05. Results One hundred seventeen (33.2%) of participants were suffering from at least one microvascular complications. The mean platelet volume (MPV), platelet distribution width (PDW), and platelet-large cell ratio (P-LCR) were significantly increased in DM patients with complications as compared to without complications (13.57±2.17fl vs. 11.76±1.93fl), (16.57±2.49fl vs. 14.97±2.41fl) and (28.09±7.58% vs. 24.19±6.46%), respectively (all are P˂0.001). In multivariate logistic regression analysis, MPV (AOR=1.68, 95% CI: 1.37–2.05), PDW (AOR=1.37, 95% CI: 1.15–1.63), P-LCR (AOR=1.07, 95% CI: 1.01–1.14), age (AOR=1.07, 95% CI: 1.01–1.12), and duration of DM (AOR=1.31, 95% CI: 1.18–1.46) were significantly associated with the presence of microvascular complications. Conclusion MPV, PDW, and P-LCR were significantly higher among type 2 DM patients with microvascular complications. This indicates that platelet indices can be used as prognostic markers of vascular complications and can be used as simple and cost-effective parameters to predict microvascular complications particularly in patients with old age and long duration of DM.

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Association of mean platelet volume with incident type 2 diabetes mellitus risk: the Dongfeng–Tongji cohort study

Cited by 9 publications

References 42 publications

Role of platelet indices as diagnostic and predictive biomarkers for comorbidity of diabetes and metabolic syndrome in southern Ethiopia: A comparative cross-sectional study

Role of platelet indices as diagnostic and predictive biomarkers for comorbidity of diabetes and metabolic syndrome in southern Ethiopia: A comparative cross-sectional study

Platelet count and mean volume in acute stroke: a systematic review and meta-analysis

Platelet Indices and Its Association with Microvascular Complications Among Type 2 Diabetes Mellitus Patients in Northeast Ethiopia: A Cross-Sectional Study

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