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Higher blood hematocrit predicts hyperuricemia: a prospective study of 62,897 person-years of follow-up
- Source :
- Scientific Reports
- Publication Year :
- 2015
-
Abstract
- This prospective study aimed to investigate the relationship between higher hematocrit (Hct) level and hyperuricemia (HU) incidence. A total of 27540 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 62897 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.
- Subjects :
- Adult
Male
medicine.medical_specialty
China
Hyperuricemia
Hematocrit
Sensitivity and Specificity
Article
Age Distribution
Risk Factors
Internal medicine
hemic and lymphatic diseases
medicine
Humans
Prospective Studies
Sex Distribution
Prospective cohort study
Proportional Hazards Models
Multidisciplinary
medicine.diagnostic_test
business.industry
Proportional hazards model
Incidence (epidemiology)
Incidence
Confounding
Hazard ratio
Reproducibility of Results
Prognosis
Confidence interval
Surgery
Quartile
Female
business
Biomarkers
Follow-Up Studies
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Scientific reports
- Accession number :
- edsair.doi.dedup.....b27d7de2f7fde03b7b817c0f4d6acebe