Featured Publications
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 discriminationKidneyAUC
2024
Urinary Plasminogen as a Marker of Disease Progression in Human Glomerular Disease
de Cos M, Mosoyan G, Chauhan K, Troost J, Wong J, Lefferts S, Morgan P, Meliambro K, Egerman M, Ray J, Parker T, Levine D, Seshan S, Bardash Y, Horowitz B, Kent C, Shaw M, Perlman A, Moledina D, Coca S, Campbell K. Urinary Plasminogen as a Marker of Disease Progression in Human Glomerular Disease. American Journal Of Kidney Diseases 2024, 84: 205-214.e1. PMID: 38452919, PMCID: PMC11260534, DOI: 10.1053/j.ajkd.2024.01.520.Peer-Reviewed Original ResearchAssociated with end-stage kidney diseaseEnd-stage kidney diseaseUrinary plasmin(ogenGlomerular diseaseGlomerular disordersBiopsy-proven glomerular diseaseVariable clinical courseDevelopment of novel therapiesCohort of patientsRestricted to patientsElectro-chemiluminescence immunoassayHuman glomerular diseasesClinical courseUrinary markersUrine creatinineAbstractText Label="RATIONALENovel therapiesPrognostic decision makingCox regressionWhite patientsDisease progressionKidney diseasePatientsPodocyte injuryCohort
2022
Urine testing to differentiate glomerular from tubulointerstitial diseases on kidney biopsy
Tran AC, Melchinger H, Weinstein J, Shaw M, Kent C, Perazella MA, Wilson FP, Parikh CR, Moledina DG. Urine testing to differentiate glomerular from tubulointerstitial diseases on kidney biopsy. Practical Laboratory Medicine 2022, 30: e00271. PMID: 35465621, PMCID: PMC9018443, DOI: 10.1016/j.plabm.2022.e00271.Peer-Reviewed Original ResearchTubulointerstitial diseaseKidney biopsyGlomerular diseaseUrine albuminHistological diagnosisUrine uromodulinUrine testsHigher urine albuminUrine sediment microscopyCohort of participantsDipstick hematuriaTubular injuryAppropriate patientsUrine testingMultivariable modelHigher oddsBiopsyClinical decisionSediment microscopyDiseasePatientsHealth biomarkersUrine samplesDiagnosisCohort
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