Development and validation of a race-agnostic computable phenotype for kidney health in adult hospitalized patients

• Published in: PloS one Vol. 19; no. 4; p. e0299332
• Main Authors: Ozrazgat-Baslanti, Tezcan, Ren, Yuanfang, Adiyeke, Esra, Islam, Rubab, Hashemighouchani, Haleh, Ruppert, Matthew, Miao, Shunshun, Loftus, Tyler, Johnson-Mann, Crystal, Madushani, R. W. M. A., Shenkman, Elizabeth A., Hogan, William, Segal, Mark S., Lipori, Gloria, Bihorac, Azra, Hobson, Charles
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 23.04.2024; Public Library of Science (PLoS)
• Subjects: Acute Kidney Injury - diagnosis; Acute Kidney Injury - epidemiology; Adult; African Americans; Aged; Algorithms; Biology and Life Sciences; Black or African American; Chronic kidney failure; Comparative analysis; Computer and Information Sciences; Creatinine - blood; Decision-making; Diagnosis; Evaluation; Female; Genetic aspects; Glomerular Filtration Rate; Health aspects; Hospital patients; Hospitalization; Humans; Kidney - physiopathology; Kidney diseases; Male; Medical research; Medicine and Health Sciences; Medicine, Experimental; Middle Aged; People and places; Phenotype; Physical Sciences; Renal Insufficiency, Chronic - diagnosis; Renal Insufficiency, Chronic - epidemiology; Renal Insufficiency, Chronic - physiopathology; Research and Analysis Methods; Social aspects; United States
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0299332

Standard race adjustments for estimating glomerular filtration rate (GFR) and reference creatinine can yield a lower acute kidney injury (AKI) and chronic kidney disease (CKD) prevalence among African American patients than non–race adjusted estimates. We developed two race-agnostic computable pheno...