Featured Publications
The 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 levels
2023
Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020
Dhingra L, Aminorroaya A, Oikonomou E, Nargesi A, Wilson F, Krumholz H, Khera R. Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020. JAMA Network Open 2023, 6: e2316634. PMID: 37285157, PMCID: PMC10248745, DOI: 10.1001/jamanetworkopen.2023.16634.Peer-Reviewed Original ResearchMeSH KeywordsAdultCardiovascular DiseasesCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedObesityRisk FactorsConceptsHealth Information National Trends SurveyUS adultsExacerbate disparitiesWearable device usersCardiovascular diseaseCardiovascular healthPopulation-based cross-sectional studySelf-reported cardiovascular diseaseCardiovascular disease risk factorsNational Trends SurveyOverall US adult populationCardiovascular risk factor profileSelf-reported accessAssociated with lower useUse of wearable devicesImprove cardiovascular healthLower household incomeLower educational attainmentUS adult populationRisk factor profileNationally representative sampleCross-sectional studyProportion of adultsTrends SurveyWearable device dataEvaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19
Menez S, Coca S, Moledina D, Wen Y, Chan L, Thiessen-Philbrook H, Obeid W, Garibaldi B, Azeloglu E, Ugwuowo U, Sperati C, Arend L, Rosenberg A, Kaushal M, Jain S, Wilson F, Parikh C, Consortium T, Deng J, Atta M, Bagnasco S, Ko A, Iwasaki A, Farhadian S, Nelson A, Casanovas-Massana A, White E, Schulz W, Coppi A, Young P, Nunez A, Shepard D, Matos I, Strong Y, Anastasio K, Brower K, Kuang M, Chiorazzi M, Bermejo S, Vijayakumar P, Geng B, Fournier J, Minasyan M, Muenker M, Moore A, Nadkarni G. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19. American Journal Of Kidney Diseases 2023, 82: 322-332.e1. PMID: 37263570, PMCID: PMC10229201, DOI: 10.1053/j.ajkd.2023.03.010.Peer-Reviewed Original ResearchConceptsSoluble tumor necrosis factor receptor 1Major adverse kidney eventsAdverse kidney eventsAdverse kidney outcomesAcute kidney injuryKidney eventsTumor necrosis factor receptor 1Necrosis factor receptor 1Plasma biomarkersKidney outcomesC-indexFactor receptor 1Hospitalized patientsCOVID-19KDIGO stage 3 acute kidney injuryDialysis-requiring acute kidney injuryStage 3 acute kidney injuryLong-term adverse health outcomesReceptor 1Long-term kidney dysfunctionAvailable blood samplesIdentification of patientsProportional hazards regressionAdverse health outcomesCOVID-19 hospitalization
2022
Angiopoietins as Prognostic Markers for Future Kidney Disease and Heart Failure Events after Acute Kidney Injury
Mansour SG, Bhatraju PK, Coca SG, Obeid W, Wilson FP, Stanaway IB, Jia Y, Thiessen-Philbrook H, Go AS, Ikizler TA, Siew ED, Chinchilli VM, Hsu CY, Garg AX, Reeves WB, Liu KD, Kimmel PL, Kaufman JS, Wurfel MM, Himmelfarb J, Parikh SM, Parikh CR. Angiopoietins as Prognostic Markers for Future Kidney Disease and Heart Failure Events after Acute Kidney Injury. Journal Of The American Society Of Nephrology 2022, 33: 613-627. PMID: 35017169, PMCID: PMC8975075, DOI: 10.1681/asn.2021060757.Peer-Reviewed Original ResearchConceptsCKD progressionHeart failureLower riskAngpt-1Highest quartileFuture kidney diseaseSetting of AKIAcute kidney injuryHeart failure admissionsHeart failure eventsProspective cohort studyMortality 3 monthsPlasma angiopoietinsKidney injuryCohort studySecondary outcomesEndothelial injuryMedian agePrimary outcomeKidney diseasePrognostic markerAngiopoietin-2AKIAngiopoietin-1Vessel destabilization
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 mortalityResults from the TRIBE-AKI Study found associations between post-operative blood biomarkers and risk of chronic kidney disease after cardiac surgery
Menez S, Moledina DG, Garg AX, Thiessen-Philbrook H, McArthur E, Jia Y, Liu C, Obeid W, Mansour SG, Koyner JL, Shlipak MG, Wilson FP, Coca SG, Parikh CR. Results from the TRIBE-AKI Study found associations between post-operative blood biomarkers and risk of chronic kidney disease after cardiac surgery. Kidney International 2020, 99: 716-724. PMID: 32721447, PMCID: PMC8077034, DOI: 10.1016/j.kint.2020.06.037.Peer-Reviewed Original ResearchConceptsEstimated glomerular filtration rateChronic kidney diseaseBaseline estimated glomerular filtration rateCardiac surgeryCKD incidenceKidney diseaseBlood biomarkersN-terminal pro-B-type natriuretic peptideDevelopment of CKDPro-B-type natriuretic peptideReplication cohortAcute kidney injury groupLong-term kidney outcomesKidney injury molecule-1Acute kidney injuryPrimary composite outcomeInjury molecule-1Post-operative levelsGlomerular filtration rateTumor necrosis factor receptor 1Necrosis factor receptor 1Basic fibroblast growth factorFactor receptor 1Fibroblast growth factorAKI studiesUse of Proton Pump Inhibitors Increases Risk of Incident Kidney Stones
Simonov M, Abel EA, Skanderson M, Masoud A, Hauser RG, Brandt CA, Wilson FP, Laine L. Use of Proton Pump Inhibitors Increases Risk of Incident Kidney Stones. Clinical Gastroenterology And Hepatology 2020, 19: 72-79.e21. PMID: 32147588, PMCID: PMC7483196, DOI: 10.1016/j.cgh.2020.02.053.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesFemaleHumansKidney CalculiMaleProton Pump InhibitorsRetrospective StudiesRisk FactorsConceptsProton pump inhibitorsPPI useKidney stonesCohort studyLevothyroxine useTime-varying Cox proportional hazardsHistamine-2 receptor antagonistsPropensity score-matched subsetIncident kidney stonesUrinary ion concentrationsLarge cohort studyCox proportional hazardsPropensity matching analysisDose-dependent increaseNegative control exposureH2RA usePPI usersMost patientsPPI usageAcid suppressionAdjusted analysisMedication usageRetrospective studyPump inhibitorsUnadjusted analyses
2019
Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention
Huang C, Li SX, Mahajan S, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention. JAMA Network Open 2019, 2: e1916021. PMID: 31755952, PMCID: PMC6902830, DOI: 10.1001/jamanetworkopen.2019.16021.Peer-Reviewed Original ResearchConceptsCreatinine level increaseAcute kidney injuryPercutaneous coronary interventionContrast volumeAKI riskKidney injuryCoronary interventionBaseline riskCardiology National Cardiovascular Data Registry's CathPCI RegistryNational Cardiovascular Data Registry CathPCI RegistryRisk of AKIAcute Kidney Injury AssociatedDifferent baseline risksPCI safetyCathPCI RegistryInjury AssociatedMean ageDerivation setPreprocedural riskMAIN OUTCOMEAmerican CollegePrognostic studiesUS hospitalsCalibration slopeValidation setA 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 hospitalQuality Improvement Goals for Acute Kidney Injury
Kashani K, Rosner MH, Haase M, Lewington AJP, O'Donoghue DJ, Wilson FP, Nadim MK, Silver SA, Zarbock A, Ostermann M, Mehta RL, Kane-Gill SL, Ding X, Pickkers P, Bihorac A, Siew ED, Barreto EF, Macedo E, Kellum JA, Palevsky PM, Tolwani AJ, Ronco C, Juncos LA, Rewa OG, Bagshaw SM, Mottes TA, Koyner JL, Liu KD, Forni LG, Heung M, Wu VC. Quality Improvement Goals for Acute Kidney Injury. Clinical Journal Of The American Society Of Nephrology 2019, 14: 941-953. PMID: 31101671, PMCID: PMC6556737, DOI: 10.2215/cjn.01250119.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsFuture quality improvement projectsManagement of AKIRisk of AKIAcute kidney injuryLong-term outcomesAcute care settingCost of careHealth care providersQuality improvement projectSignificant clinical consequencesQuality of careHealth care costsQuality Improvement ProgramQuality care deliveryHigh-quality careKidney injuryEmergency departmentInpatient careCare settingsNurse practitionersClinical consequencesHospital settingCare providersHigh incidencePatientsInsulin resistance and chronic kidney disease progression, cardiovascular events, and death: findings from the chronic renal insufficiency cohort study
Schrauben SJ, Jepson C, Hsu JY, Wilson FP, Zhang X, Lash JP, Robinson BM, Townsend RR, Chen J, Fogelfeld L, Kao P, Landis JR, Rader DJ, Hamm LL, Anderson AH, Feldman HI. Insulin resistance and chronic kidney disease progression, cardiovascular events, and death: findings from the chronic renal insufficiency cohort study. BMC Nephrology 2019, 20: 60. PMID: 30786864, PMCID: PMC6383235, DOI: 10.1186/s12882-019-1220-6.Peer-Reviewed Original ResearchConceptsChronic kidney disease progressionKidney disease progressionCardiovascular eventsHOMA-IRInsulin resistanceCKD progressionCause mortalityDisease progressionChronic Renal Insufficiency Cohort study participantsChronic Renal Insufficiency Cohort (CRIC) StudyCox proportional hazards modelAbsence of diabetesCohort Study participantsHomeostasis model assessmentProportional hazards modelPositive associationBackgroundInsulin resistanceCKD complicationsCardiovascular endpointsCohort studyHemoglobin A1cMetabolic syndromeKidney diseaseC-peptideHazards model
2018
Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
Huang C, Murugiah K, Mahajan S, Li SX, Dhruva SS, Haimovich JS, Wang Y, Schulz WL, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study. PLOS Medicine 2018, 15: e1002703. PMID: 30481186, PMCID: PMC6258473, DOI: 10.1371/journal.pmed.1002703.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedClinical Decision-MakingData MiningDecision Support TechniquesFemaleHumansMachine LearningMaleMiddle AgedPercutaneous Coronary InterventionProtective FactorsRegistriesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeConceptsPercutaneous coronary interventionNational Cardiovascular Data RegistryRisk prediction modelAKI eventsAKI riskCoronary interventionAKI modelMean ageCardiology-National Cardiovascular Data RegistryAcute kidney injury riskAKI risk predictionRetrospective cohort studyIdentification of patientsCandidate variablesAvailable candidate variablesCohort studyPCI proceduresPoint of careBrier scoreAmerican CollegeData registryPatientsCalibration slopeInjury riskSame cohortAttributable Risk and Time Course of Colistin-Associated Acute Kidney Injury
Miano TA, Lautenbach E, Wilson FP, Guo W, Borovskiy Y, Hennessy S. Attributable Risk and Time Course of Colistin-Associated Acute Kidney Injury. Clinical Journal Of The American Society Of Nephrology 2018, 13: 542-550. PMID: 29545383, PMCID: PMC5969457, DOI: 10.2215/cjn.06980717.Peer-Reviewed Original ResearchConceptsBaseline hemoglobin concentrationAKI riskAttributable riskHours of exposureHemoglobin concentrationEquation Poisson regression modelsGlobal Outcomes creatinine criteriaIncidence of AKIAcute kidney injuryRetrospective cohort studyPropensity-matched pairsSimilar baseline characteristicsEarly treatment decisionsIncidence rate ratiosBroad-spectrum antibioticsHours of treatmentPoisson regression modelsColistin groupColistin toxicityHospital mortalityCreatinine criteriaKidney injuryBaseline characteristicsCohort studyKidney function
2016
Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression
Hsu CY, Xie D, Waikar SS, Bonventre JV, Zhang X, Sabbisetti V, Mifflin TE, Coresh J, Diamantidis CJ, He J, Lora CM, Miller ER, Nelson RG, Ojo AO, Rahman M, Schelling JR, Wilson FP, Kimmel PL, Feldman HI, Vasan RS, Liu KD, Investigators C, Appel L, Feldman H, Go A, He J, Kusek J, Lash J, Ojo A, Rahman M, Townsend R, Consortium C. Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression. Kidney International 2016, 91: 196-203. PMID: 28029431, PMCID: PMC5362331, DOI: 10.1016/j.kint.2016.09.003.Peer-Reviewed Original ResearchMeSH KeywordsAcetylglucosaminidaseAgedAlbuminuriaBiomarkersCreatinineDisease ProgressionFatty Acid-Binding ProteinsFemaleFollow-Up StudiesGlomerular Filtration RateHepatitis A Virus Cellular Receptor 1HumansKidney Failure, ChronicKidney TubulesLipocalin-2MaleMiddle AgedProportional Hazards ModelsProspective StudiesRenal Insufficiency, ChronicRisk AssessmentRisk FactorsConceptsGlomerular filtration rateUrinary albumin/creatinine ratioAlbumin/creatinine ratioKidney disease progressionTubular injury biomarkersCKD progressionInjury biomarkersFiltration rateClinical modelSerum creatinineCreatinine ratioDisease progressionProspective Chronic Renal Insufficiency Cohort StudyChronic Renal Insufficiency Cohort (CRIC) StudyIncident end-stage renal diseaseUnadjusted Cox proportional hazards modelUrinary kidney injury molecule-1Renal tubular injury biomarkersChronic kidney disease progressionKidney injury molecule-1End-stage renal diseaseNeutrophil gelatinase-associated lipocalinCox proportional hazards modelBase clinical modelInjury molecule-1Hypochloremia and Diuretic Resistance in Heart Failure
Hanberg JS, Rao V, Maaten J, Laur O, Brisco MA, Wilson F, Grodin JL, Assefa M, Broughton J, Planavsky NJ, Ahmad T, Bellumkonda L, Tang WH, Parikh CR, Testani JM. Hypochloremia and Diuretic Resistance in Heart Failure. Circulation Heart Failure 2016, 9: e003180. PMID: 27507113, PMCID: PMC4988527, DOI: 10.1161/circheartfailure.116.003180.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBiomarkersChloridesConnecticutCross-Sectional StudiesDown-RegulationDrug ResistanceFemaleFurosemideHeart FailureHumansKidneyMaleMiddle AgedOdds RatioPilot ProjectsProspective StudiesReninRisk FactorsSodiumSodium Potassium Chloride Symporter InhibitorsTime FactorsTreatment OutcomeConceptsDiuretic resistanceHeart failureCare centerSerum chloridePro-B-type natriuretic peptideChloride supplementationRenal free water excretionB-type natriuretic peptidePoor diuretic responsePlasma renin activityPlasma renin concentrationHeart failure cohortFree water excretionRecent epidemiological studiesBasic science evidenceBlood urea nitrogenSerum chloride levelsFurosemide equivalentsNeurohormonal activationRenin activityRenin concentrationCreatinine ratioLoop diureticsDiuretic responseSerum sodiumThe risk of death associated with proteinuria in heart failure is restricted to patients with an elevated blood urea nitrogen to creatinine ratio
Brisco MA, Zile MR, Maaten J, Hanberg JS, Wilson FP, Parikh C, Testani JM. The risk of death associated with proteinuria in heart failure is restricted to patients with an elevated blood urea nitrogen to creatinine ratio. International Journal Of Cardiology 2016, 215: 521-526. PMID: 27153048, PMCID: PMC4986924, DOI: 10.1016/j.ijcard.2016.04.100.Peer-Reviewed Original ResearchConceptsElevated blood urea nitrogenBUN/CrRenal dysfunctionBlood urea nitrogenCreatinine ratioUrea nitrogenLeft Ventricular Dysfunction (SOLVD) trialVentricular Dysfunction trialsGlomerular filtration rateRisk of deathBaseline characteristicsWorsened survivalAdverse eventsHeart failureTop tertileFiltration rateBottom tertileProteinuriaSurvival disadvantagePatientsMortalityTertileDysfunctionSurvivalSurvival modelsProton Pump Inhibitor Use and the Risk of Chronic Kidney Disease
Lazarus B, Chen Y, Wilson FP, Sang Y, Chang AR, Coresh J, Grams ME. Proton Pump Inhibitor Use and the Risk of Chronic Kidney Disease. JAMA Internal Medicine 2016, 176: 238-246. PMID: 26752337, PMCID: PMC4772730, DOI: 10.1001/jamainternmed.2015.7193.Peer-Reviewed Original ResearchConceptsIncident chronic kidney diseaseChronic kidney diseaseGlomerular filtration rateProton pump inhibitorsPPI useAtherosclerosis RiskInhibitor useFiltration rateReplication cohortPPI usersKidney diseaseCommunity studyHigh riskIncidence of CKDPropensity score-matched nonusersProton pump inhibitor useAcute interstitial nephritisReceptor antagonist usersReceptor antagonist usePopulation-based cohortNew-user designGeisinger Health SystemAntihypertensive medicationsPPI dosingAntagonist useHypochloraemia is strongly and independently associated with mortality in patients with chronic heart failure
Testani JM, Hanberg JS, Arroyo JP, Brisco MA, Ter Maaten JM, Wilson FP, Bellumkonda L, Jacoby D, Tang WH, Parikh CR. Hypochloraemia is strongly and independently associated with mortality in patients with chronic heart failure. European Journal Of Heart Failure 2016, 18: 660-668. PMID: 26763893, PMCID: PMC5471359, DOI: 10.1002/ejhf.477.Peer-Reviewed Original ResearchConceptsChronic heart failureHeart failureSerum chlorideSerum sodiumLow serum sodiumHeart failure pathophysiologyGreater disease severityBEST trialDiuretic dosesSerum chloride valuesRenal functionWorsened survivalPrognostic importanceAdverse outcomesUnivariate analysisHyponatraemiaHypochloraemiaPatientsDisease severityMortalityAdditional researchFailureChloride valuesCritical roleSodium
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 variables