2019
The Association of Angiogenesis Markers With Acute Kidney Injury and Mortality After Cardiac Surgery
Mansour SG, Zhang WR, Moledina D, Coca SG, Jia Y, Thiessen-Philbrook H, McArthur E, Inoue K, Koyner JL, Shlipak MG, Wilson FP, Garg AX, Ishibe S, Parikh CR, Consortium T. The Association of Angiogenesis Markers With Acute Kidney Injury and Mortality After Cardiac Surgery. American Journal Of Kidney Diseases 2019, 74: 36-46. PMID: 30955944, PMCID: PMC6591032, DOI: 10.1053/j.ajkd.2019.01.028.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedBiomarkersCardiac Surgical ProceduresCreatinineEndpoint DeterminationFemaleHumansKidneyMaleMiddle AgedNeovascularization, PhysiologicOutcome Assessment, Health CarePostoperative ComplicationsProspective StudiesReceptors, Vascular Endothelial Growth FactorRisk AssessmentUnited StatesVascular Endothelial Growth Factor AConceptsAcute kidney injuryCardiac surgeryAKI durationKidney injuryProangiogenic markersAngiogenesis markersOutcomes of AKILong-term outcomesPlasma VEGF concentrationsTRIBE-AKI cohortAntiangiogenic markersCause mortalityPreoperative concentrationsHospital dischargeProcess of angiogenesisMarker levelsVEGFR1 levelsPGF concentrationsHigher oddsMortality riskHigh riskLower oddsVEGF concentrationsAngiogenic markersSurgeryInsulin 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
2018
Outcomes Associated With a Strategy of Adjuvant Metolazone or High‐Dose Loop Diuretics in Acute Decompensated Heart Failure: A Propensity Analysis
Brisco‐Bacik M, Maaten J, Houser SR, Vedage NA, Rao V, Ahmad T, Wilson FP, Testani JM. Outcomes Associated With a Strategy of Adjuvant Metolazone or High‐Dose Loop Diuretics in Acute Decompensated Heart Failure: A Propensity Analysis. Journal Of The American Heart Association 2018, 7: e009149. PMID: 30371181, PMCID: PMC6222930, DOI: 10.1161/jaha.118.009149.Peer-Reviewed Original ResearchMeSH KeywordsAcute DiseaseAgedCause of DeathDose-Response Relationship, DrugFemaleFollow-Up StudiesGuideline AdherenceHeart FailureHumansInjections, IntravenousMaleMetolazonePropensity ScoreRetrospective StudiesSodium Chloride Symporter InhibitorsSodium Potassium Chloride Symporter InhibitorsStroke VolumeSurvival RateTreatment OutcomeUnited StatesConceptsHigh-dose loop diureticsAcute decompensated heart failureDecompensated heart failureLoop diureticsRenal functionPropensity adjustmentHeart failureCommon electronic medical recordIntravenous loop diureticsLoop diuretic dosePropensity-adjusted analysisThiazide-type diureticsControl trial dataElectronic medical recordsDiuretic doseDiuretic strategyCause mortalityAdverse eventsBaseline characteristicsSecondary outcomesThiazide diureticsResults PatientsDischarge diagnosisMedical recordsDiuretics
2016
Clinical 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 outcomes
2014
Dialysis 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