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Platelet parameters in Chinese older adults with metabolic syndrome

Xuejiao Yang, Le-Yang Zhang, Qinghua Ma, Hongpeng Sun, Yong Xu, Xing Chen, Chen‐Wei Pan

2020Endocrine Connections17 citationsDOIOpen Access PDF

Abstract

PURPOSE: We aimed to examine the associations of platelet parameters with the presence of metabolic syndrome in community-dwelling older Chinese adults. METHODS: Study sample was from the Weitang Geriatric Diseases Study, which included 4338 individuals aged 60 years or above. The mean age of the participants was 68 years. Metabolic syndrome was defined based on the Adult Treatment Panel III criteria. Platelet parameters were assessed using an automated hematology analyzer. Multiple logistic regression models were fitted to examine relationships between the platelet parameters and the presence of metabolic syndrome after adjusting for potential confounders. RESULTS: The adjusted odds ratio (95% CI) of metabolic syndrome for the highest quartile of platelet parameters (platelet count, mean platelet volume, plateletcrit, platelet distribution width, platelet larger cell ratio) when compared to the lowest quartile were 1.32 (1.06, 1.64), 1.00 (0.81, 1.24), 1.37 (1.10, 1.71), 1.45 (1.14, 1.83), 1.11 (0.89, 1.39), respectively. Hypertension and diabetes modified the relationship between platelet distribution width and metabolic syndrome with the associations being significant in hypertensive and non-diabetic groups. The levels of platelet distribution width increased with the risk of metabolic syndrome in men but not in women. CONCLUSION: The levels of platelet count, plateletcrit and platelet distribution width increased in older adults with metabolic syndrome, suggesting that these parameters may be useful biomarkers for further risk appraisal of metabolic syndrome in aged population.

Topics & Concepts

MedicineMean platelet volumeMetabolic syndromeQuartileInternal medicinePlateletDiabetes mellitusLogistic regressionOdds ratioConfoundingRed blood cell distribution widthEndocrinologyConfidence intervalInflammatory Biomarkers in Disease PrognosisPlatelet Disorders and TreatmentsAntiplatelet Therapy and Cardiovascular Diseases