Estimated glomerular filtration rate trajectories in south Asians: Findings from the cardiometabolic risk reduction in south Asia study

被引:3
|
作者
Jagannathan, Ram [1 ,10 ]
Anand, Shuchi [2 ,3 ,11 ]
Hogan, Julien [4 ]
Mandal, Siddhartha [2 ,5 ]
Kondal, Dimple [2 ]
Gupta, Ruby [2 ]
Patel, Shivani A. [6 ]
Anjana, Ranjit Mohan [7 ]
Deepa, Mohan [7 ]
Ali, Mohammed K. [6 ,8 ]
Mohan, Viswanathan [7 ]
Tandon, Nikhil [9 ]
Narayan, K. M. Venkat [6 ]
Prabhakaran, Dorairaj [2 ,5 ]
机构
[1] Emory Univ, Sch Med, Div Hosp Med, Atlanta, GA USA
[2] Ctr Chron Dis Control, Gurgaon, India
[3] Stanford Univ, Sch Med, Div Nephrol, Stanford, CA USA
[4] Emory Univ, Sch Med, Dept Surg, Emory Transplant Ctr, Atlanta, GA 30322 USA
[5] Publ Hlth Fdn India, New Delhi, India
[6] Emory Univ, Rollins Sch Publ Hlth, Hubert Dept Global Hlth, Atlanta, GA USA
[7] Emory Univ, Sch Med, Dept Family & Prevent Med, Atlanta, GA USA
[8] Madras Diabet Res Fdn, Chennai, India
[9] All India Inst Med Sci, Dept Endocrinol & Metab, Delhi, India
[10] Emory Univ, Sch Med, Div Hosp Med, Dept Med, Atlanta, GA 30322 USA
[11] Stanford Univ, Sch Med, Div Nephrol, Med, 3180 Porter Dr, Palo Alto, CA 94304 USA
来源
LANCET REGIONAL HEALTH - SOUTHEAST ASIA | 2022年 / 6卷
关键词
eGFR trajectories; Latent class trajectory modeling; Personalized medicine; South Asians; Albuminuria; CHRONIC KIDNEY-DISEASE; FUNCTION DECLINE; UNKNOWN ETIOLOGY; RENAL-FUNCTION; MORTALITY; PREVALENCE; CITIES; BURDEN; GFR;
D O I
10.1016/j.lansea.2022.100062
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Few longitudinal data characterize kidney function decline among South Asians, one of the world's largest population groups. We aimed to identify estimated glomerular filtration rate (eGFR) trajectories in a population-based cohort from India and assess predictors of rapid kidney function decline.Methods: We used 6-year longitudinal data from participants of a population-representative study from Delhi and Chennai, India who had at least two serum creatinine measures and baseline CKD-EPI eGFR> 60 ml/min/1.73m(2) (n=7779). We used latent class trajectory modeling to identify patterns of kidney function trajectory (CKD-EPI eGFR) over time. In models accounting for age, sex, education, and city, we tested the association between 15 hypothesized risk factors and rapid kidney function decline.Findings: Baseline mean eGFR was 108 (SD 16); median eGFR was 110 [IQR: 99-119] ml/min/1.73m(2). Latent class trajectory modeling and functional characterization identified three distinct patterns of eGFR: class-1 (no decline; 58%) annual eGFR change 0.2 [0.1, 0.3]; class-2 (slow decline; 40%) annual eGFR change -0.2 [-0.4, -0.1], and class-3 (rapid decline; 2%) annual eGFR change -2.7 [-3.4, -2.0] ml/min/1.73m(2). Albuminuria (>30 mg/g) was associated with rapid eGFR decline (OR for class-3 vs class-1: 5.1 [95% CI: 3.2; 7.9]; class-3 vs. class-2: 4.3 [95% CI:2.7; 6.6]). Other risk factors including self-reported diabetes, cardiovascular disease, peripheral arterial disease, and metabolic biomarkers such as HbA1c and systolic blood pressure were associated with rapid eGFR decline phenotype but potential 'non-traditional' risk factors such as manual labor or household water sources were not.Interpretation: Although mean and median eGFRs in our population-based cohort were higher than those reported in European cohorts, we found that a sizeable number of adults residing in urban India are experiencing rapid kidney function decline. Early and aggressive risk modification among persons with albuminuria could improve kidney health among South Asians.
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页数:12
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