Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes
Vasquez-Rios G, Oh W, Lee S, Bhatraju P, Mansour S, Moledina D, Gulamali F, Siew E, Garg A, Sarder P, Chinchilli V, Kaufman J, Hsu C, Liu K, Kimmel P, Go A, Wurfel M, Himmelfarb J, Parikh C, Coca S, Nadkarni G. Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes. Clinical Journal Of The American Society Of Nephrology 2023, 18: 716-726. PMID: 36975209, PMCID: PMC10278836, DOI: 10.2215/cjn.0000000000000156.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryBiomarkersDisease ProgressionFemaleHumansInflammationLipocalin-2MaleMiddle AgedConceptsSubphenotype 2Pro-brain natriuretic peptideNeutrophil gelatinase-associated lipocalinCox proportional hazards modelAKI stage 1AKI stage 2AKI stage 3Three-fold riskAcute kidney injuryTroponin T levelsGelatinase-associated lipocalinBiomarkers of inflammationKidney injury moleculeLongitudinal clinical outcomesTumor necrosis factor receptor 1Proportional hazards modelNecrosis factor receptor 1Factor receptor 1AKI subphenotypesCardiorenal eventsSepsis-AKISubphenotype 1Cardiovascular eventsKidney injuryHazard ratio