Higher blood hematocrit predicts hyperuricemia: a prospective study of 62,897 person-years of follow-up.
This prospective study aimed to investigate the relationship between higher hematocrit (Hct) level and hyperuricemia (HU) incidence. A total of 27,540 subjects were included. Baseline Hct was classified into four categories based on the quartile distribution of the study population. A cox proportional hazards regression was used to evaluate the risk of HU incidence across the Hct quartiles after adjusting a number of potential confounding factors. Out of the 62,897 person-years of follow-up, 2745 new cases of HU were developed. In models adjusted for known risk factors of HU, higher Hct was used to predict HU incidence independently in a graded manner (p = 0.02): compared with subjects in the lowest quartile, subjects in the highest quartile of Hct (hazard ratio = 1.20; 95% confidence interval: 1.03-1.41) were n20% more likely to develop HU. Sensitivity analysis indicated that the hazard ratios increased with the extension of the minimum follow-up interval. When the minimum follow-up interval was restricted to 4 years, subjects in the highest quartile of Hct were 70% more likely to develop HU, compared with the lowest quartile. Higher Hct, a routinely measured inexpensive biomarker was independently associated with the incidence of HU even within the normal range.
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Chao
C
Zeng
Department of Epidemiology and Health Statistics, School of Public Health, Central South University, Changsha, Hunan Province, China, 410008.
Jie
J
Wei
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Tuo
T
Yang
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Hui
H
Li
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Wen-Feng
WF
Xiao
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Wei
W
Luo
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Shu-Guang
SG
Gao
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Yu-Sheng
YS
Li
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Yi-Lin
YL
Xiong
Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China, 410008.
Guang-Hua
GH
Lei
D000328:Adult; D017677:Age Distribution; D015415:Biomarkers / Q000097:blood; D002681:China / Q000453:epidemiology; D005260:Female; D005500:Follow-Up Studies; D006400:Hematocrit / Q000379:methods* / Q000706:statistics & numerical data*; D006801:Humans; D033461:Hyperuricemia / Q000097:blood* / Q000175:diagnosis / Q000453:epidemiology*; D015994:Incidence; D008297:Male; D011379:Prognosis; D016016:Proportional Hazards Models; D011446:Prospective Studies; D015203:Reproducibility of Results; D012307:Risk Factors; D012680:Sensitivity and Specificity; D017678:Sex Distribution
D015415:Biomarkers