A cohort study on the correlation between serum uric acid trajectory and the progression of renal function in patients with Type 2 diabetes mellitus.
10.11817/j.issn.1672-7347.2023.220539
- Author:
Jinting PAN
1
,
2
;
Qi YANG
1
,
3
;
Juan PENG
1
,
3
;
Aimei LI
1
,
3
;
Yan LIU
1
,
3
;
Bin YI
1
,
4
Author Information
1. Department of Nephrology, Third Xiangya Hospital, Central South University
2. Critical Kidney Disease Research Center of Central South University, Changsha 410013, China. pjt0401@163.com.
3. Critical Kidney Disease Research Center of Central South University, Changsha 410013, China.
4. Critical Kidney Disease Research Center of Central South University, Changsha 410013, China. yibin_yb@163.com.
- Publication Type:Journal Article
- Keywords:
Type 2 diabetes mellitus;
cohort study;
progression of renal function;
serum uric acid trajectory
- MeSH:
Humans;
Male;
Female;
Aged;
Diabetes Mellitus, Type 2/complications*;
Cohort Studies;
Uric Acid;
Glycated Hemoglobin;
Renal Insufficiency, Chronic;
Kidney Failure, Chronic/complications*;
Glomerular Filtration Rate;
Kidney/physiology*;
Risk Factors
- From:
Journal of Central South University(Medical Sciences)
2023;48(5):725-732
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:Diabetic kidney disease is one of the most serious complications of diabetes mellitus (DM), and it is a main cause for chronic kidney disease and end-stage kidney disease (ESRD). It is important to find out the factors that cause the progression of renal function. The study aims to explore the relationship between serum uric acid (SUA) trajectory and the progression of renal function in patients with Type 2 diabetes mellitus (T2DM).
METHODS:A total of 846 patients with T2DM, who were admitted to the Department of Nephrology and Endocrinology, the Third Xiangya Hospital of Central South University, from January 2009 to December 2021 and met the criteria of baseline estimated glomerular filtration rate (eGFR)≥60 mL/(min·1.73 m2), were selected as the research subjects. The SUA data of multiple measurements were collected and identified as different SUA trajectories by group-based trajectory modeling (GBTM). According to the SUA trajectories, the patients were divided into a low trajectory group (105 cases), a middle trajectory group (396 cases), a middle high trajectory group (278 cases), and a high trajectory group (67 cases). Cox regression analysis was used to examine the effect of SUA trajectory on the progression of renal function in patients with T2DM. Subgroup analysis was performed by sex, age, course of disease, body mass index (BMI) and hemoglobin A1c (HbA1c).
RESULTS:The median follow-up was 4.8 years. At the end of follow-up, 158 patients had different degrees of decline in renal function. After adjusting for multiple confounding factors by Cox regression analysis, the risks of eGFR<60 mL/(min·1.73 m2), eGFR reduction rate≥50%, serum creatinine (Scr) doubling and composite endpoint (eGFR reduction rate≥50%, Scr doubling or ESRD) in the high trajectory group were significantly higher than those in the low trajectory group, with HR of 3.84 (95% CI 1.83 to 8.05), 6.90 (95% CI 2.27 to 20.96), 6.29 (95% CI 2.03 to 19.52), and 8.04 (95% CI 2.68 to 24.18), respectively. There was no significant difference in the risk of ESRD among the above 4 groups (all P>0.05). Subgroup analysis showed that: compared with the low trajectory group, the risks of eGFR<60 mL/(min·1.73 m2) in patients with high trajectory in the subgroup of male, female, age<65 years, course of disease<10 years, BMI≥24 kg/m2 and HbA1c≥7% were increased (all P<0.05). The SUA trajectory had no interaction with sex, age, course of disease, BMI and HbA1c (all interactive P>0.05).
CONCLUSIONS:The high SUA trajectory increases the risk for progression of renal function in patients with T2DM. Long-term longitudinal changes of SUA should be paid attention to.
