Urinary microalbumin to creatinine ratio and α1-microglobulin to creatinine ratio and their influencing factors in people aged ≥40 years old in 10 counties of Shanxi province
10.3760/cma.j.cn441217-20230221-00221
- VernacularTitle:山西省10个县区≥40岁人群尿微量白蛋白/肌酐比值和尿α1微球蛋白/肌酐比值水平及其影响因素分析
- Author:
Wenzhu SONG
1
;
Yan ZHAO
;
Lixia QIU
;
Chao ZHANG
;
Yue ZHANG
;
Huimin HAN
;
Aizhong LI
;
Xiaoshuang ZHOU
;
Yafeng LI
;
Rongshan LI
Author Information
1. 山西医科大学公共卫生学院，太原 030000
- Keywords:
Proteinuria;
Epidemiological studies;
Risk factors;
Kidney injury
- From:
Chinese Journal of Nephrology
2023;39(11):822-830
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate urinary microalbumin to creatinine ratio (ACR) and α1-microglobulin to creatinine ratio (MCR) of people aged 40 years old and above in Shanxi province, and analyze the influencing factors of abnormal ACR and MCR, and to provide evidence for the prevention and control of chronic kidney diseases.Methods:It was a cross-sectional study. The data came from a screening study of chronic kidney diseases conducted by Shanxi Provincial People's Hospital from April to November 2019, involving aged 40 years old and above from 10 counties (Ningwu county, Yu county, Yangqu county, Lin county, Shouyang county, Zezhou county, Huozhou city, Hejin city, Linyi county and Ruicheng county) in Shanxi province. The related data were collected through questionnaire surveys, physical examinations, and blood and urine sample collection. Urinary α1-microglobulin, creatinine, and microalbuminuria were measured. Urinary ACR and MCR were calculated using urinary creatinine correction. ACR abnormality was defined as ≥30 mg/g, and MCR abnormality was defined as >23 mg/g. Covariate analysis was used to control confounding factors, and adjusted urinary ACR and MCR of 10 counties were calculated. Spearman correlation analysis and chi-square test were performed to analyze the factors associated with abnormal urinary ACR and MCR. Logistic regression analysis model was used to identify the influencing factors of abnormal urinary ACR and MCR.Results:A total of 12 285 residents were enrolled in the study, including 5 206 males (42.4%) and 7 079 females (57.6%). The median age was 58.0 (51.0, 66.0) years old. The median urinary ACR was 7.5 (4.5, 15.7) mg/g, and the median urinary MCR was 10.2 (6.4, 16.2) mg/g. A total of 1 572 individuals (12.80%) had urinary ACR abnormality and 1 450 individuals (11.80%) had urinary MCR abnormality. Yangqu county, Yuxian county, and Ningwu county had higher urinary ACR with (35.58±3.04) mg/g, (34.08±4.50) mg/g and (32.09±3.19) mg/g, respectively. The urinary MCR was generally similar among the 10 counties and Yangqu county had higher urinary MCR with (13.86±0.41) mg/g. In addition to Yu county, female individuals had higher urinary ACR compared to males in other counties, whereas female individuals had lower urinary MCR compared to males in 10 counties. Multivariate logistic regression analysis results showed that elevated triglyceride, fasting blood glucose, glycated hemoglobin, systolic blood pressure, diastolic blood pressure, age, body mass index and gender were independent influencing factors of abnormal urinary ACR and MCR (all P<0.05). Elevated blood homocysteine and low educational level were independent influencing factors of urinary MCR abnormality (both P<0.05). Conclusions:There are differences of gender and region in urinary ACR and MCR among individuals aged 40 years old and above in the 10 counties of Shanxi province. Triglyceride, fasting blood glucose, glycated hemoglobin, systolic blood pressure, diastolic blood pressure, age, gender, and body mass index are independent related factors of abnormal urinary ACR and MCR. Blood homocysteine and education level are independent related factors of abnormal urinary MCR.
