Featured Publications
Assessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19
Nugent J, Aklilu A, Yamamoto Y, Simonov M, Li F, Biswas A, Ghazi L, Greenberg J, Mansour S, Moledina D, Wilson FP. Assessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19. JAMA Network Open 2021, 4: e211095. PMID: 33688965, PMCID: PMC7948062, DOI: 10.1001/jamanetworkopen.2021.1095.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedAged, 80 and overBlack or African AmericanCohort StudiesComorbidityCOVID-19CreatinineFemaleFollow-Up StudiesGlomerular Filtration RateHispanic or LatinoHumansHypertensionKidney Function TestsLongitudinal StudiesMaleMiddle AgedPatient DischargeProportional Hazards ModelsRenal Insufficiency, ChronicRetrospective StudiesSARS-CoV-2United StatesConceptsCOVID-19-associated acute kidney injuryAcute kidney injuryHospital acute kidney injurySubgroup of patientsKidney functionKidney injuryCohort studyHospital dischargeAKI recoveryKidney diseaseCOVID-19Peak creatinine levelsRetrospective cohort studyChronic kidney diseaseDays of dischargeHalf of patientsGlomerular filtration rateCoronavirus disease 2019AKI severityBaseline comorbiditiesEGFR decreaseDialysis requirementEGFR slopeKidney recoveryCreatinine levelsThe Association of COVID-19 With Acute Kidney Injury Independent of Severity of Illness: A Multicenter Cohort Study
Moledina DG, Simonov M, Yamamoto Y, Alausa J, Arora T, Biswas A, Cantley LG, Ghazi L, Greenberg JH, Hinchcliff M, Huang C, Mansour SG, Martin M, Peixoto A, Schulz W, Subair L, Testani JM, Ugwuowo U, Young P, Wilson FP. The Association of COVID-19 With Acute Kidney Injury Independent of Severity of Illness: A Multicenter Cohort Study. American Journal Of Kidney Diseases 2021, 77: 490-499.e1. PMID: 33422598, PMCID: PMC7791318, DOI: 10.1053/j.ajkd.2020.12.007.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedCohort StudiesCOVID-19C-Reactive ProteinCreatinineDiureticsFemaleHospital MortalityHumansIntensive Care UnitsLength of StayMaleMiddle AgedProportional Hazards ModelsRenal DialysisRenal Insufficiency, ChronicRespiration, ArtificialRisk FactorsSARS-CoV-2Severity of Illness IndexUnited StatesVasoconstrictor AgentsConceptsAcute kidney injurySARS-CoV-2Cohort studyRisk factorsCOVID-19Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testingTime-updated Cox proportional hazards modelsDialysis-requiring acute kidney injuryYale New Haven Health SystemHigher inflammatory marker levelsMore acute kidney injuryCox proportional hazards modelMulticenter cohort studyHigh rateInflammatory marker levelsTraditional risk factorsProportional hazards modelCoronavirus disease 2019KDIGO criteriaNephrotoxin exposureKidney injuryInjury independentUnivariable analysisNasopharyngeal samplesMarker levels
2019
Natriuretic Response Is Highly Variable and Associated With 6-Month Survival Insights From the ROSE-AHF Trial
Hodson DZ, Griffin M, Mahoney D, Raghavendra P, Ahmad T, Turner J, Wilson FP, Tang WHW, Rao VS, Collins SP, Mullens W, Testani JM. Natriuretic Response Is Highly Variable and Associated With 6-Month Survival Insights From the ROSE-AHF Trial. JACC Heart Failure 2019, 7: 383-391. PMID: 31047017, PMCID: PMC6501816, DOI: 10.1016/j.jchf.2019.01.007.Peer-Reviewed Original ResearchConceptsAcute decompensated heart failureROSE-AHF trialsSodium excretionNet fluid balanceWorse prognosisFluid balanceHigh-dose loop diuretic therapyNegative net fluid balanceGreater sodium excretionLoop diuretic agentsLoop diuretic therapyDecompensated heart failureDietary sodium intakeDiuretic therapyUrinary sodiumNatriuretic responseHeart failureSodium intakeUrine outputSodium retentionVolume overloadFluid retentionSodium balanceDiuretic agentsPrognostic ability
2017
Association of Alternative Approaches to Normalizing Peritoneal Dialysis Clearance with Mortality and Technique Failure: A Retrospective Analysis Using the United States Renal Data System-Dialysis Morbidity and Mortality Study, Wave 2
Boyle SM, Li Y, Wilson FP, Glickman JD, Feldman HI. Association of Alternative Approaches to Normalizing Peritoneal Dialysis Clearance with Mortality and Technique Failure: A Retrospective Analysis Using the United States Renal Data System-Dialysis Morbidity and Mortality Study, Wave 2. Advances In Peritoneal Dialysis 2017, 37: 85-93. PMID: 27680757, PMCID: PMC5448711, DOI: 10.3747/pdi.2015.00227.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBlood Urea NitrogenCause of DeathCohort StudiesCreatinineDialysis SolutionsFemaleHumansKaplan-Meier EstimateKidney Failure, ChronicKidney Function TestsMaleMiddle AgedPeritoneal Dialysis, Continuous AmbulatoryProportional Hazards ModelsRegistriesRenal DialysisRetrospective StudiesRisk AssessmentSurvival AnalysisUnited StatesUreaConceptsKt/body surface areaKt/VBody surface areaTechnique failureHarrell's C-statisticPeritoneal urea clearanceC-statisticHazard ratioUrea clearanceUrine volumeUnited States Renal Data System Dialysis MorbidityBody mass index strataMortality Study Wave 2Peritoneal Kt/VUnited States Renal Data SystemIncident peritoneal dialysis patientsIdeal weightSignificant differencesCox proportional hazards modelPeritoneal dialysis clearanceMedian patient ageRetrospective cohort studyPeritoneal dialysis patientsGlomerular filtration rateOutcomes of mortality
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-1Clinical Implications of Cluster Analysis-Based Classification of Acute Decompensated Heart Failure and Correlation with Bedside Hemodynamic Profiles
Ahmad T, Desai N, Wilson F, Schulte P, Dunning A, Jacoby D, Allen L, Fiuzat M, Rogers J, Felker GM, O’Connor C, Patel CB. Clinical Implications of Cluster Analysis-Based Classification of Acute Decompensated Heart Failure and Correlation with Bedside Hemodynamic Profiles. PLOS ONE 2016, 11: e0145881. PMID: 26840410, PMCID: PMC4739604, DOI: 10.1371/journal.pone.0145881.Peer-Reviewed Original ResearchConceptsAcute decompensated heart failureDecompensated heart failureHemodynamic profileNon-ischemic cardiomyopathyClinical outcomesADHF patientsHeart failureLower B-type natriuretic peptide levelsB-type natriuretic peptide levelsCox proportional hazards modelConcomitant renal insufficiencyHigher BNP levelsNatriuretic peptide levelsAdverse clinical outcomesBaseline clinical variablesProportional hazards modelBNP levelsAdvanced diseaseCause mortalityMultiple comorbiditiesRenal insufficiencyComorbid conditionsHemodynamic classificationPrognostic valueAdverse outcomesHypochloraemia is strongly and independently associated with mortality in patients with chronic heart failure
Testani JM, Hanberg JS, Arroyo JP, Brisco MA, Ter Maaten JM, Wilson FP, Bellumkonda L, Jacoby D, Tang WH, Parikh CR. Hypochloraemia is strongly and independently associated with mortality in patients with chronic heart failure. European Journal Of Heart Failure 2016, 18: 660-668. PMID: 26763893, PMCID: PMC5471359, DOI: 10.1002/ejhf.477.Peer-Reviewed Original ResearchConceptsChronic heart failureHeart failureSerum chlorideSerum sodiumLow serum sodiumHeart failure pathophysiologyGreater disease severityBEST trialDiuretic dosesSerum chloride valuesRenal functionWorsened survivalPrognostic importanceAdverse outcomesUnivariate analysisHyponatraemiaHypochloraemiaPatientsDisease severityMortalityAdditional researchFailureChloride valuesCritical roleSodium
2014
Urinary Creatinine Excretion, Bioelectrical Impedance Analysis, and Clinical Outcomes in Patients with CKD: The CRIC Study
Wilson FP, Xie D, Anderson AH, Leonard MB, Reese PP, Delafontaine P, Horwitz E, Kallem R, Navaneethan S, Ojo A, Porter AC, Sondheimer JH, Sweeney HL, Townsend RR, Feldman HI, Investigators T. Urinary Creatinine Excretion, Bioelectrical Impedance Analysis, and Clinical Outcomes in Patients with CKD: The CRIC Study. Clinical Journal Of The American Society Of Nephrology 2014, 9: 2095-2103. PMID: 25381342, PMCID: PMC4255402, DOI: 10.2215/cjn.03790414.Peer-Reviewed Original ResearchConceptsLow urinary creatinine excretionUrinary creatinine excretionFat-free massChronic Renal Insufficiency CohortBioelectrical impedance analysisAppendicular lean massClinical outcomesCreatinine excretionLean massSerum cystatin C levelsCox proportional hazards modelLow muscle massChronic disease statesCystatin C levelsDual-energy X-ray absorptiometry assessmentDual-energy X-ray absorptiometry measurementsProportional hazards modelOutcomes of interestCohort of individualsUrinary urea nitrogenCRIC participantsCRIC StudyBlack raceESRDHazards modelDialysis versus Nondialysis in Patients with AKI: A Propensity-Matched Cohort Study
Wilson FP, Yang W, Machado CA, Mariani LH, Borovskiy Y, Berns JS, Feldman HI. Dialysis versus Nondialysis in Patients with AKI: A Propensity-Matched Cohort Study. Clinical Journal Of The American Society Of Nephrology 2014, 9: 673-681. PMID: 24651073, PMCID: PMC3974360, DOI: 10.2215/cjn.07630713.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAdultAgedBiomarkersCreatinineFemaleHospitalizationHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioPatient SelectionPennsylvaniaPropensity ScoreProportional Hazards ModelsRenal DialysisRisk AssessmentRisk FactorsSeverity of Illness IndexTime FactorsTreatment OutcomeConceptsInitiation of dialysisSerum creatinine concentrationCreatinine concentrationDialysis initiationDialyzed patientsSevere AKICohort studyPropensity-matched cohort studyPropensity scoreElevated creatinine levelOverall hazard ratioGreater survival benefitProportional hazards analysisAcute care hospitalsTime-varying propensity scoresPennsylvania Health SystemCause mortalityCreatinine levelsHazard ratioSurvival benefitCare hospitalDL increaseNondialyzed patientsPatient factorsLaboratory variables
2012
Predictors of Death and Dialysis in Severe AKI: The UPHS-AKI Cohort
Wilson FP, Yang W, Feldman HI. Predictors of Death and Dialysis in Severe AKI: The UPHS-AKI Cohort. Clinical Journal Of The American Society Of Nephrology 2012, 8: 527-537. PMID: 23258795, PMCID: PMC3613955, DOI: 10.2215/cjn.06450612.Peer-Reviewed Original ResearchConceptsSevere AKIC-indexIntensive care unit locationPredictors of deathEffective risk stratificationEndpoint of deathMore effective therapeutic interventionsHigh-risk subgroupsHarrell's C-indexLower overall mortalityProportional hazards modelEffective therapeutic interventionsPennsylvania Health SystemBaseline creatinineHospital AKIPressor medicationsSerum creatinineClinical factorsDerivation cohortHigher creatinineHospital admissionOverall mortalityLiver diseaseRisk stratificationValidation cohort