2024
Early, Individualized Recommendations for Hospitalized Patients With Acute Kidney Injury
Aklilu A, Menez S, Baker M, Brown D, Dircksen K, Dunkley K, Gaviria S, Farrokh S, Faulkner S, Jones C, Kadhim B, Le D, Li F, Makhijani A, Martin M, Moledina D, Coronel-Moreno C, O’Connor K, Shelton K, Shvets K, Srialluri N, Tan J, Testani J, Corona-Villalobos C, Yamamoto Y, Parikh C, Wilson F, Sundararajan A, Wang A, Schretlen C, Singel D, Moss E, Aune F, Iantosca G, Zou G, Chernova I, Bitzel J, Hernandez J, Lindsley J, Dane K, Orias M, Mehta P, Zassman-Isner S, Wen Y, Freeman N. Early, Individualized Recommendations for Hospitalized Patients With Acute Kidney Injury. JAMA 2024, 332 PMID: 39454050, DOI: 10.1001/jama.2024.22718.Peer-Reviewed Original ResearchElectronic health recordsUsual careHealth recordsAction teamsClinicians of patientsHospitalized patientsFinal follow-upIntervention groupHealth systemStudy pharmacistsStudy physiciansMain OutcomesAssociated with adverse outcomesAcute kidney injuryRandomized clinical trialsPrimary outcomeIndividualized recommendationsNew HavenAdverse outcomesAKI detectionCareRhode IslandComposite outcomeFollow-upIntervention
2021
Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial
Wilson FP, Martin M, Yamamoto Y, Partridge C, Moreira E, Arora T, Biswas A, Feldman H, Garg AX, Greenberg JH, Hinchcliff M, Latham S, Li F, Lin H, Mansour SG, Moledina DG, Palevsky PM, Parikh CR, Simonov M, Testani J, Ugwuowo U. Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial. The BMJ 2021, 372: m4786. PMID: 33461986, PMCID: PMC8034420, DOI: 10.1136/bmj.m4786.Peer-Reviewed Original ResearchConceptsAcute kidney injuryElectronic health record alertsKidney injuryPrimary outcomeMedical recordsYale New Haven Health SystemCare practicesGlobal Outcomes creatinine criteriaLarge tertiary care centerComposite of progressionDays of randomizationReceipt of dialysisPrespecified secondary outcomesTertiary care centerPatients' medical recordsSmall community hospitalNon-teaching hospitalsElectronic health recordsCreatinine criteriaUsual careSecondary outcomesAdult inpatientsKidney diseaseClinical centersWorse outcomes
2020
Real-Time Prediction of Acute Kidney Injury in Hospitalized Adults: Implementation and Proof of Concept
Ugwuowo U, Yamamoto Y, Arora T, Saran I, Partridge C, Biswas A, Martin M, Moledina DG, Greenberg JH, Simonov M, Mansour SG, Vela R, Testani JM, Rao V, Rentfro K, Obeid W, Parikh CR, Wilson FP. Real-Time Prediction of Acute Kidney Injury in Hospitalized Adults: Implementation and Proof of Concept. American Journal Of Kidney Diseases 2020, 76: 806-814.e1. PMID: 32505812, PMCID: PMC8667815, DOI: 10.1053/j.ajkd.2020.05.003.Peer-Reviewed Original ResearchConceptsAKI alertsHospitalized adultsKidney injuryUrban tertiary care hospitalAcute kidney injurySerum creatinine levelsObservational cohort studyTertiary care hospitalSerum creatinine concentrationBeats/minElectronic health recordsAKI diagnosisCohort studyCreatinine levelsInpatient mortalitySystolic bloodFractional excretionCenter studyBlood biomarkersUnivariable associationsUrine microscopyCreatinine concentrationClinical careElevated riskUrea nitrogenA 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
2019
A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study
Simonov M, Ugwuowo U, Moreira E, Yamamoto Y, Biswas A, Martin M, Testani J, Wilson FP. A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study. PLOS Medicine 2019, 16: e1002861. PMID: 31306408, PMCID: PMC6629054, DOI: 10.1371/journal.pmed.1002861.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedAged, 80 and overConnecticutDecision Support TechniquesElectronic Health RecordsFemaleHospital MortalityHumansInpatientsMaleMiddle AgedPatient AdmissionPredictive Value of TestsPrognosisRenal DialysisRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexTime FactorsConceptsAcute kidney injuryImminent acute kidney injuryElectronic health recordsKidney injuryHospital 1Prediction of AKIRenal replacement therapyOptimal treatment strategyLaboratory dataReceiver operator characteristic curveInternal validation setAKI occurrenceAKI severityHospitalized adultsMedical comorbiditiesOverall cohortAdverse eventsHospitalized patientsSurgical wardsSignificant morbidityReplacement therapyExternal validation data setsHospital 2Hospital 3Study hospital