2020
A Time-Updated, Parsimonious Model to Predict AKI in Hospitalized Children
Sandokji I, Yamamoto Y, Biswas A, Arora T, Ugwuowo U, Simonov M, Saran I, Martin M, Testani JM, Mansour S, Moledina DG, Greenberg JH, Wilson FP. A Time-Updated, Parsimonious Model to Predict AKI in Hospitalized Children. Journal Of The American Society Of Nephrology 2020, 31: 1348-1357. PMID: 32381598, PMCID: PMC7269342, DOI: 10.1681/asn.2019070745.Peer-Reviewed Original ResearchConceptsExternal validation cohortValidation cohortElectronic health recordsSevere AKIClinical risk stratification toolDevelopment of AKIHealth recordsRisk stratification toolInternal validation cohortLength of stayCharacteristic curveElectronic medical recordsNeonatal AKIInpatient mortalitySecondary outcomesHospital admissionPrimary outcomeHospitalized childrenCreatinine valuesMedical recordsStudy populationAKICohortChildrenPredictive variables
2015
False-Positive Rate of AKI Using Consensus Creatinine–Based Criteria
Lin J, Fernandez H, Shashaty MG, Negoianu D, Testani JM, Berns JS, Parikh CR, Wilson FP. False-Positive Rate of AKI Using Consensus Creatinine–Based Criteria. Clinical Journal Of The American Society Of Nephrology 2015, 10: 1723-1731. PMID: 26336912, PMCID: PMC4594067, DOI: 10.2215/cjn.02430315.Peer-Reviewed Original ResearchConceptsSerum creatinine valuesGlobal Outcomes creatinine criteriaSerum creatinineCreatinine valuesCreatinine criteriaClinical cohortBiologic variabilityProportion of patientsSerum creatinine changesHigher baseline valuesFalse positive rateAKI diagnosisAKI studiesAdult patientsCreatinine changesBlood drawReference cohortOverall false-positive rateBaseline valuesCreatinine measurementsPatientsCreatinineHypothetical patientsDiagnosis rateSimulation cohortAutomated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial
Wilson FP, Shashaty M, Testani J, Aqeel I, Borovskiy Y, Ellenberg SS, Feldman HI, Fernandez H, Gitelman Y, Lin J, Negoianu D, Parikh CR, Reese PP, Urbani R, Fuchs B. Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial. The Lancet 2015, 385: 1966-1974. PMID: 25726515, PMCID: PMC4475457, DOI: 10.1016/s0140-6736(15)60266-5.Peer-Reviewed Original ResearchConceptsAcute kidney injuryUsual care groupKidney injuryCare groupAlert groupClinical outcomesElectronic alertsEligible participantsKidney Disease Improving Global OutcomesEnd-stage renal diseaseAcute kidney injury alertsEffective treatment optionIntensive care unitElectronic alert systemComputer-generated sequenceRandomisation strataSurgical admissionsUsual carePrimary outcomeRenal diseaseCare unitTreatment optionsCreatinine valuesCreatinine concentrationSuch injuries
2010
Characteristics of Patients With Improvement or Worsening in Renal Function During Treatment of Acute Decompensated Heart Failure
Testani JM, McCauley BD, Kimmel SE, Shannon RP. Characteristics of Patients With Improvement or Worsening in Renal Function During Treatment of Acute Decompensated Heart Failure. The American Journal Of Cardiology 2010, 106: 1763-1769. PMID: 21055713, PMCID: PMC2997119, DOI: 10.1016/j.amjcard.2010.07.050.Peer-Reviewed Original ResearchMeSH KeywordsAcute DiseaseCardiotonic AgentsCatheterization, Swan-GanzCreatinineDisease ProgressionFemaleFollow-Up StudiesGlomerular Filtration RateHeart FailureHumansInfusions, IntravenousMaleMiddle AgedPrognosisPulmonary Wedge PressureRecovery of FunctionRenal InsufficiencyRetrospective StudiesStroke VolumeVasodilator AgentsConceptsDecompensated heart failureRenal functionStable renal functionCardiac indexHeart failureVasodilator usePulmonary Artery Catheterization Effectiveness trialAcute decompensated heart failureSimilar hemodynamic parametersCharacteristics of patientsCongestive heart failureComparison of patientsAdvanced disease stateCardiorenal interactionsIntravenous inotropesCause mortalityWorse survivalHemodynamic variablesPoor prognosisCreatinine valuesEffectiveness trialHemodynamic parametersHemodynamic differencesPatientsDisease states