Literature DB >> 28669822

Blood count parameters as a marker for metabolic syndrome in older adults.

Carolina Cunha De Oliveira1, Anna Karla Carneiro Roriz2, Lílian Barbosa Ramos2, Mansueto Gomes Neto3.   

Abstract

BACKGROUND AND AIM: Blood count parameters are associated with the metabolic syndrome (MS). However, few studies have evaluated the precision of blood count components to identify MS in older adults. We evaluated the accuracy of blood count components as a screening method and a marker of MS in older adults. METHODS AND
RESULTS: A cross-sectional study with 203 older adults of both sexes was conducted. The following variables were used: MS as defined by harmonized criteria, hemoglobin, hematocrit, leukocytes and platelets. Area under the receiver operating characteristic (ROC) curve, sensitivity (sens), specificity (spec) and logistic regression were adjusted for age and sex. Leukocyte count showed the highest Youden's index value for MS screening, with an optimal cut-off point of 7.514103/mm3 (sens: 66.7%; spec: 72.0%) for men and 5.626103/mm3 (sens: 73.1%; spec: 42.4%) for women. Older adults with leukocyte count higher than these cut-off points presented a 2.4 times greater chance of developing MS.
CONCLUSION: Leukocyte count can be used as a screening indicator to identify individuals with a higher risk of developing MS. Older adults with high leukocyte count and no associated chronic diseases should receive attention, as they are individuals with a potential risk for MS.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Blood count; Leukocytes; Metabolic syndrome; Older adults; Platelets; Prediction

Mesh:

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Year:  2017        PMID: 28669822     DOI: 10.1016/j.exger.2017.06.018

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  1 in total

1.  Distribution of complete blood count constituents in gestational diabetes mellitus.

Authors:  Yonggang Zhang; Yipeng Zhang; Limin Zhao; Yanyan Shang; Dabao He; Jiying Chen
Journal:  Medicine (Baltimore)       Date:  2021-06-11       Impact factor: 1.889

  1 in total

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