Prevalence of hyperkalemia and influencing factors in a rural population in Pinggu district of Beijing city
10.3760/cma.j.cn441217-20210630-00042
- VernacularTitle:北京市平谷区普通人群高钾血症患病率及影响因素
- Author:
Xiaohong FAN
1
;
Wenling YE
;
Jie MA
;
Ying SUN
;
Rui CUI
;
Wei ZHANG
;
Baobao WANG
;
Xuemei LI
Author Information
1. 中国医学科学院 北京协和医院肾内科，北京 100730
- Keywords:
Hyperkalemia;
Prevalence;
Risk factors;
Epidemiologic method
- From:
Chinese Journal of Nephrology
2022;38(4):289-295
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To determine the epidemiology of hyperkalemia and influencing factors in a general population in Pinggu district of Beijing city.Methods:This study was a cross-sectional survey. The subjects were from the epidemiological survey population of chronic diseases in Pinggu district of Beijing city from March to May 2014. All participants completed a questionnaire, anthropological measurement, and venous blood samples collection to detect serum creatinine and potassium and so on. First void morning urine was collected to detect the albumin-creatinine ratio. Hyperkalemia and hypokalemia were defined as serum potassium level>5.0 mmol/L and≤3.5 mmol/L, respectively. Logistic regression analysis method was used to analyze the influencing factors of hyperkalemia.Results:Of the 10 252 people in this study, the prevalence of hyperkalemia was 6.17%(95% CI 5.70%-6.67%), the prevalence of hypokalemia was 0.61%(95% CI 0.47%-0.79%), and the prevalence of participants with serum potassium>5.5 mmol/L was 0.53%(95% CI 0.40%-0.69%). Multivariate logistic regression analysis results showed that males ( OR=1.269, 95% CI 1.074-1.498, P=0.005), diabetes ( OR=1.226, 95% CI 1.008-1.490, P=0.041), increased total cholesterol ( OR=1.219, 95% CI 1.119-1.329, P<0.001), and decreased estimated glomerular filtration rate ( OR=0.971, 95% CI 0.965-0.977, P<0.001) were significantly correlated with the increased risk of hyperkalemia. Usage of renin-angiotensin-aldosterone system inhibitors and diuretics were not found to be significantly associated with the risk of hyperkalemia ( OR=1.018, 95% CI 0.751-1.380, P=0.908; OR=0.638, 95% CI 0.229-1.781, P=0.391). Conclusions:The prevalence of HK in the general population is 6.17%. The male, decreased estimated glomerular filtration rate, diabetes, and increased total cholesterol are influencing factors of hyperkalemia.
