Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression
Hsu CY, Xie D, Waikar SS, Bonventre JV, Zhang X, Sabbisetti V, Mifflin TE, Coresh J, Diamantidis CJ, He J, Lora CM, Miller ER, Nelson RG, Ojo AO, Rahman M, Schelling JR, Wilson FP, Kimmel PL, Feldman HI, Vasan RS, Liu KD, Investigators C, Appel L, Feldman H, Go A, He J, Kusek J, Lash J, Ojo A, Rahman M, Townsend R, Consortium C. Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression. Kidney International 2016, 91: 196-203. PMID: 28029431, PMCID: PMC5362331, DOI: 10.1016/j.kint.2016.09.003.Peer-Reviewed Original ResearchMeSH KeywordsAcetylglucosaminidaseAgedAlbuminuriaBiomarkersCreatinineDisease ProgressionFatty Acid-Binding ProteinsFemaleFollow-Up StudiesGlomerular Filtration RateHepatitis A Virus Cellular Receptor 1HumansKidney Failure, ChronicKidney TubulesLipocalin-2MaleMiddle AgedProportional Hazards ModelsProspective StudiesRenal Insufficiency, ChronicRisk AssessmentRisk FactorsConceptsGlomerular filtration rateUrinary albumin/creatinine ratioAlbumin/creatinine ratioKidney disease progressionTubular injury biomarkersCKD progressionInjury biomarkersFiltration rateClinical modelSerum creatinineCreatinine ratioDisease progressionProspective Chronic Renal Insufficiency Cohort StudyChronic Renal Insufficiency Cohort (CRIC) StudyIncident end-stage renal diseaseUnadjusted Cox proportional hazards modelUrinary kidney injury molecule-1Renal tubular injury biomarkersChronic kidney disease progressionKidney injury molecule-1End-stage renal diseaseNeutrophil gelatinase-associated lipocalinCox proportional hazards modelBase clinical modelInjury molecule-1