2022
Angiopoietins as Prognostic Markers for Future Kidney Disease and Heart Failure Events after Acute Kidney Injury
Mansour SG, Bhatraju PK, Coca SG, Obeid W, Wilson FP, Stanaway IB, Jia Y, Thiessen-Philbrook H, Go AS, Ikizler TA, Siew ED, Chinchilli VM, Hsu CY, Garg AX, Reeves WB, Liu KD, Kimmel PL, Kaufman JS, Wurfel MM, Himmelfarb J, Parikh SM, Parikh CR. Angiopoietins as Prognostic Markers for Future Kidney Disease and Heart Failure Events after Acute Kidney Injury. Journal Of The American Society Of Nephrology 2022, 33: 613-627. PMID: 35017169, PMCID: PMC8975075, DOI: 10.1681/asn.2021060757.Peer-Reviewed Original ResearchConceptsCKD progressionHeart failureLower riskAngpt-1Highest quartileFuture kidney diseaseSetting of AKIAcute kidney injuryHeart failure admissionsHeart failure eventsProspective cohort studyMortality 3 monthsPlasma angiopoietinsKidney injuryCohort studySecondary outcomesEndothelial injuryMedian agePrimary outcomeKidney diseasePrognostic markerAngiopoietin-2AKIAngiopoietin-1Vessel destabilization
2021
Subtyping CKD Patients by Consensus Clustering: The Chronic Renal Insufficiency Cohort (CRIC) Study
Zheng Z, Waikar SS, Schmidt IM, Landis JR, Hsu CY, Shafi T, Feldman HI, Anderson AH, Wilson FP, Chen J, Rincon-Choles H, Ricardo AC, Saab G, Isakova T, Kallem R, Fink JC, Rao PS, Xie D, Yang W, Investigators C. Subtyping CKD Patients by Consensus Clustering: The Chronic Renal Insufficiency Cohort (CRIC) Study. Journal Of The American Society Of Nephrology 2021, 32: 639-653. PMID: 33462081, PMCID: PMC7920178, DOI: 10.1681/asn.2020030239.Peer-Reviewed Original ResearchConceptsChronic Renal Insufficiency Cohort (CRIC) StudyClinical end pointsKidney function markersCKD subgroupsBaseline characteristicsCohort studyFunction markersCardiovascular diseaseProspective Chronic Renal Insufficiency Cohort StudyEnd pointBaseline kidney functionPatient baseline characteristicsImportant clinical outcomesBone mineral densityPrecision medicineMultiple underlying causesDifferent risksDifferent risk profilesCKD patientsCKD progressionMore medicationsComposite outcomeClinical outcomesKidney functionAdverse outcomes
2020
Novel Risk Factors for Progression of Diabetic and Nondiabetic CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study
Anderson AH, Xie D, Wang X, Baudier RL, Orlandi P, Appel LJ, Dember LM, He J, Kusek JW, Lash JP, Navaneethan SD, Ojo A, Rahman M, Roy J, Scialla JJ, Sondheimer JH, Steigerwalt SP, Wilson FP, Wolf M, Feldman HI, Investigators C, Go A, Townsend R. Novel Risk Factors for Progression of Diabetic and Nondiabetic CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study. American Journal Of Kidney Diseases 2020, 77: 56-73.e1. PMID: 32866540, PMCID: PMC7752839, DOI: 10.1053/j.ajkd.2020.07.011.Peer-Reviewed Original ResearchConceptsChronic Renal Insufficiency Cohort (CRIC) StudyIndependent risk factorCKD progressionNovel risk factorsRisk factorsCohort studyComposite outcomeN-terminal pro-B-type natriuretic peptidePro-B-type natriuretic peptideChronic kidney disease progressionGlomerular filtration rate (eGFR) slopeHigh-sensitivity troponin TCox proportional hazards modelStudy designProgression of diabeticsUrinary neutrophil gelatinaseUrinary NGAL levelsUS clinical centersKidney disease progressionLow serum bicarbonateProspective cohort studyKidney replacement therapyHigh-risk subgroupsProportional hazards modelNumerous risk factors
2019
Insulin resistance and chronic kidney disease progression, cardiovascular events, and death: findings from the chronic renal insufficiency cohort study
Schrauben SJ, Jepson C, Hsu JY, Wilson FP, Zhang X, Lash JP, Robinson BM, Townsend RR, Chen J, Fogelfeld L, Kao P, Landis JR, Rader DJ, Hamm LL, Anderson AH, Feldman HI. Insulin resistance and chronic kidney disease progression, cardiovascular events, and death: findings from the chronic renal insufficiency cohort study. BMC Nephrology 2019, 20: 60. PMID: 30786864, PMCID: PMC6383235, DOI: 10.1186/s12882-019-1220-6.Peer-Reviewed Original ResearchConceptsChronic kidney disease progressionKidney disease progressionCardiovascular eventsHOMA-IRInsulin resistanceCKD progressionCause mortalityDisease progressionChronic Renal Insufficiency Cohort study participantsChronic Renal Insufficiency Cohort (CRIC) StudyCox proportional hazards modelAbsence of diabetesCohort Study participantsHomeostasis model assessmentProportional hazards modelPositive associationBackgroundInsulin resistanceCKD complicationsCardiovascular endpointsCohort studyHemoglobin A1cMetabolic syndromeKidney diseaseC-peptideHazards model
2016
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
2015
Relation of atherogenic lipoproteins with estimated glomerular filtration rate decline: a longitudinal study
Lin J, Khetarpal SA, Terembula K, Reilly MP, Wilson FP. Relation of atherogenic lipoproteins with estimated glomerular filtration rate decline: a longitudinal study. BMC Nephrology 2015, 16: 130. PMID: 26238454, PMCID: PMC4545861, DOI: 10.1186/s12882-015-0122-5.Peer-Reviewed Original ResearchConceptsMin/yearPenn Diabetes Heart StudyApoC-III levelsBaseline plasmaApoC-IIIGlomerular filtration rate declineSingle-center observational cohortBackgroundChronic kidney diseaseClinical CV diseaseLipid medication usePre-existing CKDCardiovascular risk factorsBaseline plasma levelsGlomerular filtration rateSlope of eGFRAtherogenic lipid fractionsCausal cardiovascular risk factorDiabetes Heart StudyCKD progressionEGFR declineCV diseaseObservational cohortBaseline triglyceridesMedication useMultivariable analysis