Featured Publications
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 outcomesThe Association of COVID-19 With Acute Kidney Injury Independent of Severity of Illness: A Multicenter Cohort Study
Moledina DG, Simonov M, Yamamoto Y, Alausa J, Arora T, Biswas A, Cantley LG, Ghazi L, Greenberg JH, Hinchcliff M, Huang C, Mansour SG, Martin M, Peixoto A, Schulz W, Subair L, Testani JM, Ugwuowo U, Young P, Wilson FP. The Association of COVID-19 With Acute Kidney Injury Independent of Severity of Illness: A Multicenter Cohort Study. American Journal Of Kidney Diseases 2021, 77: 490-499.e1. PMID: 33422598, PMCID: PMC7791318, DOI: 10.1053/j.ajkd.2020.12.007.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedCohort StudiesCOVID-19C-Reactive ProteinCreatinineDiureticsFemaleHospital MortalityHumansIntensive Care UnitsLength of StayMaleMiddle AgedProportional Hazards ModelsRenal DialysisRenal Insufficiency, ChronicRespiration, ArtificialRisk FactorsSARS-CoV-2Severity of Illness IndexUnited StatesVasoconstrictor AgentsConceptsAcute kidney injurySARS-CoV-2Cohort studyRisk factorsCOVID-19Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testingTime-updated Cox proportional hazards modelsDialysis-requiring acute kidney injuryYale New Haven Health SystemHigher inflammatory marker levelsMore acute kidney injuryCox proportional hazards modelMulticenter cohort studyHigh rateInflammatory marker levelsTraditional risk factorsProportional hazards modelCoronavirus disease 2019KDIGO criteriaNephrotoxin exposureKidney injuryInjury independentUnivariable analysisNasopharyngeal samplesMarker levelsA randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes
Wilson F, Yamamoto Y, Martin M, Coronel-Moreno C, Li F, Cheng C, Aklilu A, Ghazi L, Greenberg J, Latham S, Melchinger H, Mansour S, Moledina D, Parikh C, Partridge C, Testani J, Ugwuowo U. A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes. Nature Communications 2023, 14: 2826. PMID: 37198160, PMCID: PMC10192367, DOI: 10.1038/s41467-023-38532-3.Peer-Reviewed Original ResearchConceptsAcute kidney injuryUsual care groupKidney injuryCare groupAcute Kidney Injury OutcomesAlert groupNon-steroidal anti-inflammatory drugsComposite of progressionHours of randomizationMedications of interestAldosterone system inhibitorsClasses of medicationsProton pump inhibitorsRandomized clinical trialsAnti-inflammatory drugsClinical decision support systemNephrotoxic medicationsHospitalized adultsDiscontinuation ratesCertain medicationsPrimary outcomeSubstantial morbiditySystem inhibitorsPump inhibitorsParallel groupPersonalised recommendations for hospitalised patients with Acute Kidney Injury using a Kidney Action Team (KAT-AKI): protocol and early data of a randomised controlled trial
Aklilu A, O’Connor K, Martin M, Yamamoto Y, Coronel-Moreno C, Shvets K, Jones C, Kadhim B, Corona-Villalobos C, Baker M, Tan J, Freeman N, Groener M, Menez S, Brown D, Culli S, Lindsley J, Orias M, Parikh C, Smith A, Sundararajan A, Wilson F. Personalised recommendations for hospitalised patients with Acute Kidney Injury using a Kidney Action Team (KAT-AKI): protocol and early data of a randomised controlled trial. BMJ Open 2023, 13: e071968. PMID: 37068906, PMCID: PMC10111926, DOI: 10.1136/bmjopen-2023-071968.Peer-Reviewed Original ResearchConceptsPrimary teamAcute Kidney Injury OutcomesAKI alert systemInvestigator-blinded trialUsual care armKey secondary outcomesClinical decision support toolIntensive care unitUS hospital systemAKI alertsAKI detectionAKI progressionCare armSecondary outcomesPrimary outcomeCare unitMedian timeMedical floorPercentage of recommendationsDiagnostic interventionsInjury outcomesRandomisationHospital systemEthics CommitteeDedicated team
2022
Association of vancomycin plus piperacillin–tazobactam with early changes in creatinine versus cystatin C in critically ill adults: a prospective cohort study
Miano TA, Hennessy S, Yang W, Dunn TG, Weisman AR, Oniyide O, Agyekum RS, Turner AP, Ittner CAG, Anderson BJ, Wilson FP, Townsend R, Reilly JP, Giannini HM, Cosgriff CV, Jones TK, Meyer NJ, Shashaty MGS. Association of vancomycin plus piperacillin–tazobactam with early changes in creatinine versus cystatin C in critically ill adults: a prospective cohort study. Intensive Care Medicine 2022, 48: 1144-1155. PMID: 35833959, PMCID: PMC9463324, DOI: 10.1007/s00134-022-06811-0.Peer-Reviewed Original ResearchConceptsPiperacillin-tazobactamKidney biomarkersCystatin CAcute kidney injury riskProspective cohort studyCystatin C concentrationCystatin C measurementKidney function biomarkersCreatinine secretionAntibiotic initiationCohort studyProspective cohortIll adultsClinical outcomesAssociation of vancomycinAntibiotic treatmentTubular secretionCreatinine concentrationTreatment weightingResultsThe studyTrue injuryHigh incidenceCreatinineDay 14Early changes
2020
Prediction of outcomes after acute kidney injury in hospitalised patients: protocol for a systematic review
Arora T, Martin M, Grimshaw A, Mansour S, Wilson FP. Prediction of outcomes after acute kidney injury in hospitalised patients: protocol for a systematic review. BMJ Open 2020, 10: e042035. PMID: 33371041, PMCID: PMC7757434, DOI: 10.1136/bmjopen-2020-042035.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAdultArtificial IntelligenceHumansMeta-Analysis as TopicRenal DialysisSystematic Reviews as TopicConceptsAcute kidney injuryPrediction of outcomeSystematic reviewKidney injuryOutcomes of AKIResolution of AKIProgression of AKILong-term outcomesBias assessment toolRisk of biasMultivariable predictive modelMeta-Analyses (PRISMA) guidelinesPreferred Reporting ItemsFull-text reviewPrediction model RiskAKI careCohort studyNegative long-term outcomesThird reviewerReporting ItemsAbstract screeningComprehensive searchPatientsCommon diseaseData extractionCharacteristics and Outcomes of Individuals With Pre-existing Kidney Disease and COVID-19 Admitted to Intensive Care Units in the United States
Flythe JE, Assimon MM, Tugman MJ, Chang EH, Gupta S, Shah J, Sosa MA, Renaghan AD, Melamed ML, Wilson FP, Neyra JA, Rashidi A, Boyle SM, Anand S, Christov M, Thomas LF, Edmonston D, Leaf DE, Walther C, Anumudu S, Arunthamakun J, Kopecky K, Milligan G, McCullough P, Nguyen T, Shaefi S, Krajewski M, Shankar S, Pannu A, Valencia J, Waikar S, Kibbelaar Z, Athavale A, Hart P, Upadhyay S, Vohra I, Green A, Rachoin J, Schorr C, Shea L, Edmonston D, Mosher C, Shehata A, Cohen Z, Allusson V, Bambrick-Santoyo G, Bhatti N, Mehta B, Williams A, Brenner S, Walters P, Go R, Rose K, Chan L, Mathews K, Coca S, Altman D, Saha A, Soh H, Wen H, Bose S, Leven E, Wang J, Mosoyan G, Nadkarni G, Pattharanitima P, Gallagher E, Friedman A, Guirguis J, Kapoor R, Meshberger C, Kelly K, Parikh C, Garibaldi B, Corona-Villalobos C, Wen Y, Menez S, Malik R, Cervantes C, Gautam S, Mallappallil M, Ouyang J, John S, Yap E, Melaku Y, Mohamed I, Bajracharya S, Puri I, Thaxton M, Bhattacharya J, Wagner J, Boudourakis L, Nguyen H, Ahoubim A, Kashani K, Tehranian S, Thomas L, Sirganagari D, Guru P, Zhou Y, Bergl P, Rodriguez J, Shah J, Gupta M, Kumar P, Lazarous D, Kassaye S, Melamed M, Johns T, Mocerino R, Prudhvi K, Zhu D, Levy R, Azzi Y, Fisher M, Yunes M, Sedaliu K, Golestaneh L, Brogan M, Kumar N, Chang M, Thakkar J, Raichoudhury R, Athreya A, Farag M, Schenck E, Cho S, Plataki M, Alvarez-Mulett S, Gomez-Escobar L, Pan D, Lee S, Krishnan J, Whalen W, Charytan D, Macina A, Chaudhry S, Wu B, Modersitzki F, Srivastava A, Leidner A, Martinez C, Kruser J, Wunderink R, Hodakowski A, Velez J, Price-Haywood E, Matute-Trochez L, Hasty A, Mohamed M, Avasare R, Zonies D, Leaf D, Gupta S, Sise M, Newman E, Abu Omar S, Pokharel K, Sharma S, Singh H, Correa S, Shaukat T, Kamal O, Wang W, Yang H, Boateng J, Lee M, Strohbehn I, Li J, Mueller A, Redfern R, Cairl N, Naimy G, Abu-Saif A, Hall D, Bickley L, Rowan C, Madhani-Lovely F, Peev V, Reiser J, Byun J, Vissing A, Kapania E, Post Z, Patel N, Hermes J, Sutherland A, Patrawalla A, Finkel D, Danek B, Arikapudi S, Paer J, Cangialosi P, Liotta M, Radbel J, Puri S, Sunderram J, Scharf M, Ahmed A, Berim I, Vatson J, Anand S, Levitt J, Garcia P, Boyle S, Song R, Zhang J, Woo S, Deng X, Katz-Greenberg G, Senter K, Sharshir M, Rusnak V, Ali M, Bansal A, Podoll A, Chonchol M, Sharma S, Burnham E, Rashidi A, Hejal R, Judd E, Latta L, Tolwani A, Albertson T, Adams J, Reagan R, Chang S, Beutler R, Monica S, Schulze C, Macedo E, Rhee H, Liu K, Jotwani V, Koyner J, Kunczt A, Shah C, Jaikaransingh V, Toth-Manikowski S, Joo M, Lash J, Neyra J, Chaaban N, Dy R, Iardino A, Au E, Sharma J, Sosa M, Taldone S, Contreras G, De La Zerda D, Gershengorn H, Hayek S, Blakely P, Berlin H, Azam T, Shadid H, Pan M, Hayer P, Meloche C, Feroze R, Kaakati R, Perry D, Bitar A, Anderson E, Padalia K, Donnelly J, Admon A, Flythe J, Tugman M, Chang E, Brown B, Leonberg-Yoo A, Spiardi R, Miano T, Roche M, Vasquez C, Bansal A, Ernecoff N, Kapoor S, Verma S, Chen H, Kovesdy C, Molnar M, Azhar A, Hedayati S, Nadamuni M, Shastri S, Willett D, Short S, Renaghan A, Enfield K, Bhatraju P, Malik A, Semler M, Vijayan A, Joy C, Li T, Goldberg S, Kao P, Schumaker G, Goyal N, Faugno A, Schumaker G, Hsu C, Tariq A, Meyer L, Kshirsagar R, Weiner D, Jose A, Christov M, Griffiths J, Gupta S, Kapoor A, Wilson P, Arora T, Ugwuowo U. Characteristics and Outcomes of Individuals With Pre-existing Kidney Disease and COVID-19 Admitted to Intensive Care Units in the United States. American Journal Of Kidney Diseases 2020, 77: 190-203.e1. PMID: 32961244, PMCID: PMC7501875, DOI: 10.1053/j.ajkd.2020.09.003.Peer-Reviewed Original ResearchConceptsPre-existing CKDChronic kidney diseaseIntensive care unitPre-existing kidney diseaseDependent chronic kidney diseaseKidney diseaseICU admissionDialysis patientsCare unitPre-existing chronic kidney diseaseSevere coronavirus disease 2019 (COVID-19) illnessCoronavirus disease 2019 illnessEffective COVID-19 therapiesIll COVID-19 patientsCOVID-19Dependent CKD patientsGray survival modelsMore dialysis patientsSevere COVID-19Acute liver injuryCOVID-19 patientsCOVID-19 therapyOutcomes of individualsCKD patientsHospital mortality
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
2017
Approaches to Predicting Outcomes in Patients with Acute Kidney Injury
Saly D, Yang A, Triebwasser C, Oh J, Sun Q, Testani J, Parikh CR, Bia J, Biswas A, Stetson C, Chaisanguanthum K, Wilson FP. Approaches to Predicting Outcomes in Patients with Acute Kidney Injury. PLOS ONE 2017, 12: e0169305. PMID: 28122032, PMCID: PMC5266278, DOI: 10.1371/journal.pone.0169305.Peer-Reviewed Original ResearchConceptsAcute kidney injuryLength of stayKidney injuryReceiver operator characteristic curveOutcomes of interestOperator characteristic curveValidation cohortClinical eventsAccurate prognosticationOutcome eventsPredicting OutcomePrognostic modelDeath predictionLab valuesCharacteristic curveGood discrimination abilityPatientsStayInjuryDialysisModel discriminationOutcomesDaysMedicationsMorbidityAssociation 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
2015
Drugs, Dialysis, Decisions, and Data: A Walk through the Minefield of Nephropharmacology
Wilson F, Nolin T, Berns J. Drugs, Dialysis, Decisions, and Data: A Walk through the Minefield of Nephropharmacology. Seminars In Dialysis 2015, 28: 323-324. PMID: 25929704, DOI: 10.1111/sdi.12390.Commentaries, Editorials and LettersPharmacologic Treatment of Common Symptoms in Dialysis Patients: A Narrative Review
Moledina DG, Perry Wilson F. Pharmacologic Treatment of Common Symptoms in Dialysis Patients: A Narrative Review. Seminars In Dialysis 2015, 28: 377-383. PMID: 25913502, DOI: 10.1111/sdi.12378.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsTreatment of fatigueCommon symptomsEnd-stage renal disease patientsRenal disease patientsAnabolic steroid nandroloneDisease-related symptomsEvidence-based guidelinesEfficacy of drugsPharmacologic treatmentDialysis patientsCreatine supplementationDisease patientsTreatment decisionsHemodialysis experienceReduced qualityPatientsNarrative reviewSomatic symptomsSymptomsCrampsESRDTreatmentInsomniaTherapyHeavy burden
2014
Dialysis versus Nondialysis in Patients with AKI: A Propensity-Matched Cohort Study
Wilson FP, Yang W, Machado CA, Mariani LH, Borovskiy Y, Berns JS, Feldman HI. Dialysis versus Nondialysis in Patients with AKI: A Propensity-Matched Cohort Study. Clinical Journal Of The American Society Of Nephrology 2014, 9: 673-681. PMID: 24651073, PMCID: PMC3974360, DOI: 10.2215/cjn.07630713.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAdultAgedBiomarkersCreatinineFemaleHospitalizationHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioPatient SelectionPennsylvaniaPropensity ScoreProportional Hazards ModelsRenal DialysisRisk AssessmentRisk FactorsSeverity of Illness IndexTime FactorsTreatment OutcomeConceptsInitiation of dialysisSerum creatinine concentrationCreatinine concentrationDialysis initiationDialyzed patientsSevere AKICohort studyPropensity-matched cohort studyPropensity scoreElevated creatinine levelOverall hazard ratioGreater survival benefitProportional hazards analysisAcute care hospitalsTime-varying propensity scoresPennsylvania Health SystemCause mortalityCreatinine levelsHazard ratioSurvival benefitCare hospitalDL increaseNondialyzed patientsPatient factorsLaboratory variablesTumor Lysis Syndrome: New Challenges and Recent Advances
Wilson FP, Berns JS. Tumor Lysis Syndrome: New Challenges and Recent Advances. Advances In Kidney Disease And Health 2014, 21: 18-26. PMID: 24359983, PMCID: PMC4017246, DOI: 10.1053/j.ackd.2013.07.001.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsTumor lysis syndromeKidney failurePrevention of TLSTreatment of TLSUric acidClearance of potassiumLysis syndromeOncologic emergencyKidney manifestationsHematologic malignanciesRisk individualsMalignant cellsCancer typesPreventative effortsSecondary hypocalcemiaTreatmentHypocalcemiaHyperkalemiaHyperphosphatemiaFailureMalignancyPathophysiologyPathogenesisSyndromeEpidemiology
2013
Sundays and Mortality in Patients with AKI
Wilson FP, Yang W, Schrauben S, Machado C, Lin JJ, Feldman HI. Sundays and Mortality in Patients with AKI. Clinical Journal Of The American Society Of Nephrology 2013, 8: 1863-1869. PMID: 23970128, PMCID: PMC3817908, DOI: 10.2215/cjn.03540413.Peer-Reviewed Original Research
2012
Predictors of Death and Dialysis in Severe AKI: The UPHS-AKI Cohort
Wilson FP, Yang W, Feldman HI. Predictors of Death and Dialysis in Severe AKI: The UPHS-AKI Cohort. Clinical Journal Of The American Society Of Nephrology 2012, 8: 527-537. PMID: 23258795, PMCID: PMC3613955, DOI: 10.2215/cjn.06450612.Peer-Reviewed Original ResearchConceptsSevere AKIC-indexIntensive care unit locationPredictors of deathEffective risk stratificationEndpoint of deathMore effective therapeutic interventionsHigh-risk subgroupsHarrell's C-indexLower overall mortalityProportional hazards modelEffective therapeutic interventionsPennsylvania Health SystemBaseline creatinineHospital AKIPressor medicationsSerum creatinineClinical factorsDerivation cohortHigher creatinineHospital admissionOverall mortalityLiver diseaseRisk stratificationValidation cohortCreatinine generation is reduced in patients requiring continuous venovenous hemodialysis and independently predicts mortality
Wilson FP, Sheehan JM, Mariani LH, Berns JS. Creatinine generation is reduced in patients requiring continuous venovenous hemodialysis and independently predicts mortality. Nephrology Dialysis Transplantation 2012, 27: 4088-4094. PMID: 22273668, PMCID: PMC3529547, DOI: 10.1093/ndt/gfr809.Peer-Reviewed Original ResearchConceptsAcute kidney injuryCreatinine generation rateContinuous venovenous hemodialysisSeverity of AKISerum creatinine concentrationCreatinine concentrationHospital mortalityTertiary care hospital settingSerum creatinine increaseGlomerular filtration rateLength of hospitalizationMeasures of severityAKI severityCreatinine increaseKidney injuryHospital dischargeMultivariable adjustmentSerum creatinineCohort studyMultivariable analysisPatient populationUnadjusted analysesCreatinine generationFiltration rateOncologic diagnosis
2011
Vancomycin levels are frequently subtherapeutic during continuous venovenous hemodialysis (CVVHD)
Wilson FP, Berns JS. Vancomycin levels are frequently subtherapeutic during continuous venovenous hemodialysis (CVVHD). Clinical Nephrology 2011, 77: 329-331. PMID: 22445477, PMCID: PMC3359699, DOI: 10.5414/cn106993.Peer-Reviewed Original ResearchConceptsContinuous renal replacement therapyContinuous venovenous hemodialysisAcute kidney injuryRenal replacement therapyPopulation of patientsDialysis flow rateKidney injuryVancomycin levelsIntensive careReplacement therapyIntermittent dialysisSubtherapeutic levelsLow bloodNephrology traineesAntibioticsHemodialysisPatientsInjuryTherapyPopulationVancomycinBloodDialysisCare