BACKGROUND: In 2007, the International Society of Nephrology funded the Kidney Disease Data Center database to house data from sponsored programs aimed at preventing chronic kidney disease and its complications in developing nations. This study compares baseline characteristics and burden of illness among participants from centers in China, Mongolia, and Nepal. An important secondary objective is to show the feasibility of screening for chronic kidney disease and its major risk factors in a diverse group of lower income settings. STUDY DESIGN: Cross-sectional screening study. SETTING & PARTICIPANTS: Participants from Nepal (n = 8,398), China (n = 1,999), and Mongolia (n = 997). Screening was open to the public for participants in China and Nepal; referral from a general practitioner was required for participants in Mongolia. OUTCOMES: Estimated glomerular filtration rate (eGFR), proteinuria, hypertension, diabetes, obesity, cardiovascular risk. MEASUREMENT: Demographic and clinical data were collected prospectively using a standard format. Blood and urine specimens were provided according to local protocol. RESULTS: Of 11,394 participants, decreased eGFR (<60 mL/min/1.73 m(2)) was present in 7.3%-14% of participants across centers; proteinuria (≥1+) on dipstick (2.4%-10%), hypertension (26%-36%), diabetes (3%-8%), and obesity (body mass index ≥30 kg/m(2); 2%-20%) were all common. Predicted 5-year cardiovascular risk ≥10% ranged from 20%-89%. Numbers needed to screen to detect a new case of eGFR <60 mL/min/1.73 m(2), hypertension, or diabetes were 2.6 (95% CI, 2.5-2.7), 3.4 (95% CI, 3.1-3.7), and 4.7 (95% CI, 3.3-8.0) for Nepal, China, and Mongolia, respectively. LIMITATIONS: May not be representative of the general population. CONCLUSIONS: The acceptable diagnostic yield of abnormalities across these 3 diverse settings suggests that trials of targeted screening and intervention are feasible and warranted in such countries.
BACKGROUND: In 2007, the International Society of Nephrology funded the Kidney Disease Data Center database to house data from sponsored programs aimed at preventing chronic kidney disease and its complications in developing nations. This study compares baseline characteristics and burden of illness among participants from centers in China, Mongolia, and Nepal. An important secondary objective is to show the feasibility of screening for chronic kidney disease and its major risk factors in a diverse group of lower income settings. STUDY DESIGN: Cross-sectional screening study. SETTING & PARTICIPANTS: Participants from Nepal (n = 8,398), China (n = 1,999), and Mongolia (n = 997). Screening was open to the public for participants in China and Nepal; referral from a general practitioner was required for participants in Mongolia. OUTCOMES: Estimated glomerular filtration rate (eGFR), proteinuria, hypertension, diabetes, obesity, cardiovascular risk. MEASUREMENT: Demographic and clinical data were collected prospectively using a standard format. Blood and urine specimens were provided according to local protocol. RESULTS: Of 11,394 participants, decreased eGFR (<60 mL/min/1.73 m(2)) was present in 7.3%-14% of participants across centers; proteinuria (≥1+) on dipstick (2.4%-10%), hypertension (26%-36%), diabetes (3%-8%), and obesity (body mass index ≥30 kg/m(2); 2%-20%) were all common. Predicted 5-year cardiovascular risk ≥10% ranged from 20%-89%. Numbers needed to screen to detect a new case of eGFR <60 mL/min/1.73 m(2), hypertension, or diabetes were 2.6 (95% CI, 2.5-2.7), 3.4 (95% CI, 3.1-3.7), and 4.7 (95% CI, 3.3-8.0) for Nepal, China, and Mongolia, respectively. LIMITATIONS: May not be representative of the general population. CONCLUSIONS: The acceptable diagnostic yield of abnormalities across these 3 diverse settings suggests that trials of targeted screening and intervention are feasible and warranted in such countries.
Authors: Matheus Correa-Costa; Vinicius Andrade-Oliveira; Tarcio T Braga; Angela Castoldi; Cristhiane F Aguiar; Clarice S T Origassa; Andrea C D Rodas; Meire I Hiyane; Denise M A C Malheiros; Francisco J O Rios; Sonia Jancar; Niels O S Câmara Journal: Lab Invest Date: 2014-02-03 Impact factor: 5.662