Development and Validation of Prediction Models of Adverse Kidney Outcomes in the Population With and Without Diabetes

To predict adverse kidney outcomes for use in optimizing medical management and clinical trial design. In this meta-analysis of individual participant data, 43 cohorts (N = 1,621,817) from research studies, electronic medical records, and clinical trials with global representation were separated int...

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Veröffentlicht in:	Diabetes care 2022-09, Vol.45 (9), p.2055-2063
Hauptverfasser:	Grams, Morgan E, Brunskill, Nigel J, Ballew, Shoshana H, Sang, Yingying, Coresh, Josef, Matsushita, Kunihiro, Surapaneni, Aditya, Bell, Samira, Carrero, Juan J, Chodick, Gabriel, Evans, Marie, Heerspink, Hiddo J L, Inker, Lesley A, Iseki, Kunitoshi, Kalra, Philip A, Kirchner, H Lester, Lee, Brian J, Levin, Adeera, Major, Rupert W, Medcalf, James, Nadkarni, Girish N, Naimark, David M J, Ricardo, Ana C, Sawhney, Simon, Sood, Manish M, Staplin, Natalie, Stempniewicz, Nikita, Stengel, Benedicte, Sumida, Keiichi, Traynor, Jamie P, van den Brand, Jan, Wen, Chi-Pang, Woodward, Mark, Yang, Jae Won, Wang, Angela Yee-Moon, Tangri, Navdeep
Format:	Artikel
Sprache:	eng
Schlagworte:	Albuminuria Antihypertensives Blood pressure Cardiovascular disease Cardiovascular diseases Clinical trials Congestive heart failure Coronary artery disease Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Electronic health records Electronic medical records Epidemiology/Health Services Research Epidermal growth factor receptors Fibrillation Glomerular Filtration Rate Health risk assessment Health risks Heart diseases Hemoglobin Humans Insulin Kidney Kidney diseases Kidneys Medical research Medicin och hälsovetenskap Prediction models Renal failure Renal Insufficiency Renal Insufficiency, Chronic - epidemiology Research design
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Beschreibung
Zusammenfassung:	To predict adverse kidney outcomes for use in optimizing medical management and clinical trial design. In this meta-analysis of individual participant data, 43 cohorts (N = 1,621,817) from research studies, electronic medical records, and clinical trials with global representation were separated into development and validation cohorts. Models were developed and validated within strata of diabetes mellitus (presence or absence) and estimated glomerular filtration rate (eGFR; ≥60 or
ISSN:	0149-5992 1935-5548 1935-5548
DOI:	10.2337/dc22-0698