Using hematogram model to predict future metabolic syndrome in elderly: a 4-year longitudinal study.
OBJECTIVE
The metabolic syndrome (MetS) is proposed to predict future occurrence of cardiovascular diseases and diabetes. There are some other "non-traditional" risk factors such as hematogram components that are also related to the same endpoints as MetS. In this four-year longitudinal study, we used hematogram components to build models for predicting future occurrence of MetS in older men and women separately.


METHODS
Subjects above 65 years without MetS and related diseases were enrolled. All subjects were followed up until they developed MetS or until up to four years from the day of entry, whichever was earlier.


RESULTS
Among the 4539 study participants, 1327 developed MetS. Models were built for men and women separately and the areas under the receiver operation curves were significant. The Kaplan-Meier plot showed that the models could predict future MetS. Finally, Cox regression analysis showed that the hematogram model was correlated to future MetS with hazard ratios of 1.567 and 1.738 in men and women, respectively.


CONCLUSIONS
Our hematogram models could significantly predict future MetS in elderly and might be more practical and convenient for daily clinical practice.
Department of Internal Medicine .
Yu-Hsiang
YH
Fu
Chun-Hsien
CH
Hsu
Jiunn-Diann
JD
Lin
Chang-Hsun
CH
Hsieh
Chung-Ze
CZ
Wu
Ting-Ting
TT
Chao
Dee
D
Pei
Yao-Jen
YJ
Liang
Kun
K
Wang
Yen-Lin
YL
Chen
D000368:Aged; D000369:Aged, 80 and over; D001772:Blood Cell Count / Q000379:methods*; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000453:epidemiology*; D012737:Sex Factors
Hematogram; hemoglobin; metabolic syndrome; platelets; white blood cell count