Featured Publications
Assessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19
Nugent J, Aklilu A, Yamamoto Y, Simonov M, Li F, Biswas A, Ghazi L, Greenberg J, Mansour S, Moledina D, Wilson FP. Assessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19. JAMA Network Open 2021, 4: e211095. PMID: 33688965, PMCID: PMC7948062, DOI: 10.1001/jamanetworkopen.2021.1095.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedAged, 80 and overBlack or African AmericanCohort StudiesComorbidityCOVID-19CreatinineFemaleFollow-Up StudiesGlomerular Filtration RateHispanic or LatinoHumansHypertensionKidney Function TestsLongitudinal StudiesMaleMiddle AgedPatient DischargeProportional Hazards ModelsRenal Insufficiency, ChronicRetrospective StudiesSARS-CoV-2United StatesConceptsCOVID-19-associated acute kidney injuryAcute kidney injuryHospital acute kidney injurySubgroup of patientsKidney functionKidney injuryCohort studyHospital dischargeAKI recoveryKidney diseaseCOVID-19Peak creatinine levelsRetrospective cohort studyChronic kidney diseaseDays of dischargeHalf of patientsGlomerular filtration rateCoronavirus disease 2019AKI severityBaseline comorbiditiesEGFR decreaseDialysis requirementEGFR slopeKidney recoveryCreatinine levels
2021
Subtyping CKD Patients by Consensus Clustering: The Chronic Renal Insufficiency Cohort (CRIC) Study
Zheng Z, Waikar SS, Schmidt IM, Landis JR, Hsu CY, Shafi T, Feldman HI, Anderson AH, Wilson FP, Chen J, Rincon-Choles H, Ricardo AC, Saab G, Isakova T, Kallem R, Fink JC, Rao PS, Xie D, Yang W, Investigators C. Subtyping CKD Patients by Consensus Clustering: The Chronic Renal Insufficiency Cohort (CRIC) Study. Journal Of The American Society Of Nephrology 2021, 32: 639-653. PMID: 33462081, PMCID: PMC7920178, DOI: 10.1681/asn.2020030239.Peer-Reviewed Original ResearchConceptsChronic Renal Insufficiency Cohort (CRIC) StudyClinical end pointsKidney function markersCKD subgroupsBaseline characteristicsCohort studyFunction markersCardiovascular diseaseProspective Chronic Renal Insufficiency Cohort StudyEnd pointBaseline kidney functionPatient baseline characteristicsImportant clinical outcomesBone mineral densityPrecision medicineMultiple underlying causesDifferent risksDifferent risk profilesCKD patientsCKD progressionMore medicationsComposite outcomeClinical outcomesKidney functionAdverse outcomes
2020
Characteristics 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
2017
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
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
2016
Relevance of Changes in Serum Creatinine During a Heart Failure Trial of Decongestive Strategies: Insights From the DOSE Trial
Brisco MA, Zile MR, Hanberg JS, Wilson FP, Parikh CR, Coca SG, Tang WH, Testani JM. Relevance of Changes in Serum Creatinine During a Heart Failure Trial of Decongestive Strategies: Insights From the DOSE Trial. Journal Of Cardiac Failure 2016, 22: 753-760. PMID: 27374839, PMCID: PMC5435117, DOI: 10.1016/j.cardfail.2016.06.423.Peer-Reviewed Original ResearchMeSH KeywordsAgedBiomarkersCause of DeathCreatinineDisease ProgressionDisease-Free SurvivalDiureticsDose-Response Relationship, DrugDouble-Blind MethodDrug Administration ScheduleFemaleFurosemideGlomerular Filtration RateHeart FailureHumansInfusions, IntravenousKidney Function TestsMaleMiddle AgedPrognosisSurvival RateTreatment OutcomeConceptsStable renal functionRenal functionComposite endpointDecongestive strategiesSerum creatinineDose trialAdverse outcomesClinical trialsSurrogate endpointsDiuretic Optimization Strategies Evaluation (DOSE) trialHeart failure clinical trialsHeart Failure TrialPoor prognostic signCoprimary endpointsComposite outcomeDecongestive therapyFailure TrialPrognostic signEmergency roomImproved outcomesLower riskCreatinineEndpointTrialsAbsence of risk