2024
External Validation of an Electronic Health Record-Based Diagnostic Model for Histological Acute Tubulointerstitial Nephritis.
Moledina D, Shelton K, Menez S, Aklilu A, Yamamoto Y, Kadhim B, Shaw M, Kent C, Makhijani A, Hu D, Simonov M, O'Connor K, Bitzel J, Thiessen-Philbrook H, Wilson F, Parikh C. External Validation of an Electronic Health Record-Based Diagnostic Model for Histological Acute Tubulointerstitial Nephritis. Journal Of The American Society Of Nephrology 2024 PMID: 39500309, DOI: 10.1681/asn.0000000556.Peer-Reviewed Original ResearchJohns Hopkins HospitalAcute tubulointerstitial nephritisValidation cohortKidney biopsyTubulointerstitial nephritisDiagnosis of acute tubulointerstitial nephritisProportion of biopsiesElectronic health recordsAnalyzed patientsDevelopment cohortBaseline prevalenceAccurate diagnosisBiopsyCohortHealth recordsClinician's abilityDiagnostic modelPotential predictorsNephritisAssess discriminationKidneyAUCEarly, 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
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