Document Detail

A simple prediction score for kidney disease in the Korean population.
MedLine Citation:
PMID:  22171932     Owner:  NLM     Status:  Publisher    
Aim:  Screening algorithms for chronic kidney disease have been developed and validated in American populations. Given the world-wide burden of kidney disease, developing algorithms for populations outside of the United States is needed. Methods:  Using simple, non-invasive questions, we developed a prediction model for chronic kidney disease from national population samples in Korea. The Korea National Health and Nutrition Examination Survey (n = 6565) was used for model development while validation was performed in two independent population samples, an internal (n = 2921) and external datasets (n = 8166). Chronic kidney disease was defined as glomerular filtration rate < 60 ml/min/1.73 m(2) . Results:  Seven factors -age, female gender, anemia, hypertension, diabetes mellitus, cardiovascular disease, and proteinuria- were significantly associated with prevalent chronic kidney disease. Integer scores were assigned to variables based on the magnitude of associations: 2 for age 50-59 years, 3 for age 60-69 and 4 for age 70 or older, and 1 for female gender, anemia, hypertension, diabetes, proteinuria, and cardiovascular disease. Based on the Youden index, a value of 4 or greater defined a high risk population with Sensitivity 89%, Specificity 71%, and Positive Predictive Value 19%, and Negative Predictive Value 99%. The Area Under the Curve was 0.83 for the development set, and 0.87 and 0.78 in the two validation datasets. Conclusion:  This prediction algorithm, weighted towards common noninvasive variables, had good performance characteristics in an Asian population, and provides new evidence of the similarity of the algorithms for Western and Eastern populations.
Keun-Sang Kwon; Heejung Bang; Andrew S Bomback; Dai-Ha Koh; Jung-Ho Yum; Ju-Hyung Lee; Sik Lee; Sung K Park; Keun-Young Yoo; Sue K Park; Soung-Hoon Chang; Hyun-Sul Lim; Joong Myung Choi; Abhijit V Kshirsagar
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-12-15
Journal Detail:
Title:  Nephrology (Carlton, Vic.)     Volume:  -     ISSN:  1440-1797     ISO Abbreviation:  -     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-12-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9615568     Medline TA:  Nephrology (Carlton)     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2011 The Authors. Nephrology © 2011 Asian Pacific Society of Nephrology.
Department of Preventive Medicine, Chonbuk National University Medical School, Jeonju, Korea Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA. Division of Nephrology, Columbia University, New York, NY Division of Nephrology, Department of Internal Medicine, Chonbuk National University Medical School, Jeonju, Korea Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea Department of Preventive Medicine, Konkuk University School of Medicine, Chungju, Korea Department of Preventive Medicine, Dongguk University College of Medicine, Gyeongju, Korea Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea University of North Carolina Kidney Center, Division of Nephrology and Hypertension, School of Medicine, University of North Carolina, Chapel Hill, NC.
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