2020
COVID-19 infections and outcomes in a live registry of heart failure patients across an integrated health care system
Caraballo C, McCullough M, Fuery MA, Chouairi F, Keating C, Ravindra NG, Miller PE, Malinis M, Kashyap N, Hsiao A, Wilson FP, Curtis JP, Grant M, Velazquez EJ, Desai NR, Ahmad T. COVID-19 infections and outcomes in a live registry of heart failure patients across an integrated health care system. PLOS ONE 2020, 15: e0238829. PMID: 32997657, PMCID: PMC7526909, DOI: 10.1371/journal.pone.0238829.Peer-Reviewed Original ResearchConceptsHeart failure patientsIntegrated health care systemHeart Failure RegistryHealth care systemFailure patientsCOVID-19 infectionCare systemCOVID-19SARS-CoV-2 infectionReal-time registryRenin-angiotensin blockersRetrospective chart reviewCoronary artery diseaseRisk of deathCOVID-19 testingAngiotensin blockersMultiple comorbiditiesRespiratory failureChart reviewSymptomatic patientsArtery diseaseHeart failureComorbid conditionsPatient mortalityClinical management
2018
Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
Huang C, Murugiah K, Mahajan S, Li SX, Dhruva SS, Haimovich JS, Wang Y, Schulz WL, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study. PLOS Medicine 2018, 15: e1002703. PMID: 30481186, PMCID: PMC6258473, DOI: 10.1371/journal.pmed.1002703.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedClinical Decision-MakingData MiningDecision Support TechniquesFemaleHumansMachine LearningMaleMiddle AgedPercutaneous Coronary InterventionProtective FactorsRegistriesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeConceptsPercutaneous coronary interventionNational Cardiovascular Data RegistryRisk prediction modelAKI eventsAKI riskCoronary interventionAKI modelMean ageCardiology-National Cardiovascular Data RegistryAcute kidney injury riskAKI risk predictionRetrospective cohort studyIdentification of patientsCandidate variablesAvailable candidate variablesCohort studyPCI proceduresPoint of careBrier scoreAmerican CollegeData registryPatientsCalibration slopeInjury riskSame cohort
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
Reduced Cardiac Index Is Not the Dominant Driver of Renal Dysfunction in Heart Failure
Hanberg JS, Sury K, Wilson FP, Brisco MA, Ahmad T, Maaten J, Broughton JS, Assefa M, Tang WH, Parikh CR, Testani JM. Reduced Cardiac Index Is Not the Dominant Driver of Renal Dysfunction in Heart Failure. Journal Of The American College Of Cardiology 2016, 67: 2199-2208. PMID: 27173030, PMCID: PMC4867078, DOI: 10.1016/j.jacc.2016.02.058.Peer-Reviewed Original ResearchConceptsPulmonary artery catheterizationBlood urea nitrogenCardiac indexRenal functionHeart failureRenal dysfunctionGood renal functionReduced cardiac indexHigher cardiac indexGlomerular filtration rateSignificant inverse correlationMultiple subgroupsMulticenter populationWorse eGFRHF patientsCreatinine ratioArtery catheterizationPatient subgroupsFiltration rateSerial assessmentLinear mixed modelingESCAPE trialPatientsUrea nitrogenDysfunction