Predicting metabolic syndrome by using hematogram models in elderly women

Haixia Liu, Chun Hsien Hsu, Jiunn Diann Lin, Chang Hsun Hsieh, Wei Cheng Lian, Chung Ze Wu, Dee Pei, Yen Lin Chen

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Background: Low-grade inflammatory status was thought to be a major underlying mechanism in MetS. White blood cell (WBC) count was one of the inflammatory markers identified to be associated with MetS. Moreover, not only WBC but also hemoglobin (Hb) and platelet (PLT) were all associated with MetS. Objective: In this study, we tried to build models by the hematogram components. In this way, we can not only predict the occurrence of MetS with a relatively low-cost and routine lab test, but also can understand more about the relationships between low grade inflammation and MetS. Methods: We randomly collected subjects over 65 years old from MJ Health Screening Center's database between 1999 and 2008. After excluding subjects with medications for hypertension, hyperlipidemia and/or diabetes, 13132 female were eligible for analysis. Results: All the MetS components, hematogram parameters and age were higher in group with MetS. In the correlation matrix, all these three hematogram parameters (WBC, Hb and PLT) were correlated with MetS components except for the correlation between Hb and HDL-C. The ROC curves showed that the model 3 (PLT+Hb+WBC) had greatest area under the curve of 0.631 with the sensitivity of 58.1% and specificity of 61.4%. Conclusions: Our findings have shown that all the three hematogram parameters are related to MetS. The results not only shed light on the complex relationships, but also demonstrate a common and easy model to aid clinicians to be more aware of the occurrence of MetS.

Original languageEnglish
Pages (from-to)97-101
Number of pages5
JournalPlatelets
Volume25
Issue number2
DOIs
Publication statusPublished - 2014

Fingerprint

Hemoglobins
Leukocytes
Blood Platelets
Hemoglobin C
Hyperlipidemias
Leukocyte Count
ROC Curve
Area Under Curve
Databases
Hypertension
Inflammation
Costs and Cost Analysis
Sensitivity and Specificity
Health

Keywords

  • Hematogram
  • Hemoglobin
  • Metabolic syndrome
  • Platelet
  • White blood cell

ASJC Scopus subject areas

  • Hematology

Cite this

Predicting metabolic syndrome by using hematogram models in elderly women. / Liu, Haixia; Hsu, Chun Hsien; Lin, Jiunn Diann; Hsieh, Chang Hsun; Lian, Wei Cheng; Wu, Chung Ze; Pei, Dee; Chen, Yen Lin.

In: Platelets, Vol. 25, No. 2, 2014, p. 97-101.

Research output: Contribution to journalArticle

Liu, H, Hsu, CH, Lin, JD, Hsieh, CH, Lian, WC, Wu, CZ, Pei, D & Chen, YL 2014, 'Predicting metabolic syndrome by using hematogram models in elderly women', Platelets, vol. 25, no. 2, pp. 97-101. https://doi.org/10.3109/09537104.2013.780017
Liu, Haixia ; Hsu, Chun Hsien ; Lin, Jiunn Diann ; Hsieh, Chang Hsun ; Lian, Wei Cheng ; Wu, Chung Ze ; Pei, Dee ; Chen, Yen Lin. / Predicting metabolic syndrome by using hematogram models in elderly women. In: Platelets. 2014 ; Vol. 25, No. 2. pp. 97-101.
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