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 levelsThe 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
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 ResearchMeSH KeywordsAcute Kidney InjuryAgedAngiopoietinsFemaleHeart FailureHumansMalePrognosisProspective StudiesRenal Insufficiency, ChronicRisk FactorsConceptsCKD 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
Rationale and design of the Kidney Precision Medicine Project
de Boer IH, Alpers CE, Azeloglu EU, Balis UGJ, Barasch JM, Barisoni L, Blank KN, Bomback AS, Brown K, Dagher PC, Dighe AL, Eadon MT, El-Achkar TM, Gaut JP, Hacohen N, He Y, Hodgin JB, Jain S, Kellum JA, Kiryluk K, Knight R, Laszik ZG, Lienczewski C, Mariani LH, McClelland RL, Menez S, Moledina DG, Mooney SD, O’Toole J, Palevsky PM, Parikh CR, Poggio ED, Rosas SE, Rosengart MR, Sarwal MM, Schaub JA, Sedor JR, Sharma K, Steck B, Toto RD, Troyanskaya OG, Tuttle KR, Vazquez MA, Waikar SS, Williams K, Wilson FP, Zhang K, Iyengar R, Kretzler M, Himmelfarb J, Project K, Knight R, Lecker S, Stillman I, Waikar S, Mcmahon G, Weins A, Short S, Hacohen N, Hoover P, Aulisio M, Cooperman L, Herlitz L, O’Toole J, Poggio E, Sedor J, Jolly S, Appelbaum P, Balderes O, Barasch J, Bomback A, Canetta P, d’Agati V, Kiryluk K, Kudose S, Mehl K, Radhakrishnan J, Weng C, Barisoni L, Alexandrov T, Ashkar T, Barwinska D, Dagher P, Dunn K, Eadon M, Ferkowicz M, Kelly K, Sutton T, Winfree S, Menez S, Parikh C, Rosenberg A, Villalobos P, Malik R, Fine D, Atta M, Trujillo J, Slack A, Rosas S, Williams M, Azeloglu E, He C, Iyengar R, Hansen J, Parikh S, Rovin B, Anderton C, Pasa-Tolic L, Velickovic D, Lukowski J, Oliver G, Ardayfio J, Bebiak J, Brown K, Campbell T, Campbell C, Hayashi L, Jefferson N, Koewler R, Roberts G, Saul J, Shpigel A, Stutzke E, Wright L, Miegs L, Pinkeney R, Sealfon R, Troyanskaya O, Tuttle K, Dobi D, Goltsev Y, Lake B, Zhang K, Joanes M, Laszik Z, Schroeder A, Sarwal M, Sigdel T, Balis U, Blanc V, He O, Hodgin J, Kretzler M, Mariani L, Menon R, Otto E, Schaub J, Steck B, Lienczewski C, Eddy S, Elder M, Hall D, Kellum J, Kruth M, Murugan R, Palevsky P, Randhawa P, Rosengart M, Sims-Lucas S, Stefanick M, Stull S, Tublin M, Alpers C, de Boer I, Dighe A, Himmelfarb J, Mcclelland R, Mooney S, Shankland S, Williams K, Blank K, Carson J, Dowd F, Drager Z, Park C, Sharma K, Zhang G, Bansal S, Venkatachalam M, Kermani A, Lee S, Lu C, Miller T, Moe O, Park H, Sambandam K, Sanchez F, Torrealba J, Robert T, Vazquez M, Wang N, Gaut J, Jain S, Vijayan A, Luciano R, Moledina D, Ugochukwu U, Wilson F, Alfano S. Rationale and design of the Kidney Precision Medicine Project. Kidney International 2021, 99: 498-510. PMID: 33637194, PMCID: PMC8330551, DOI: 10.1016/j.kint.2020.08.039.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAdultHumansKidneyPrecision MedicineProspective StudiesProteomicsRenal Insufficiency, ChronicConceptsAcute kidney injuryChronic kidney diseaseKidney Precision Medicine ProjectKidney biopsyKidney diseasePrecision Medicine ProjectKidney tissueMulticenter prospective cohort studyProtocol kidney biopsiesProspective cohort studyDeep clinical phenotypingPrecision medicine approachMedicine ProjectKidney injuryClinical characteristicsCohort studyClinical outcomesSubgroup analysisMorbid diseaseNovel therapiesPreventive strategiesClinical phenotypingDisease subgroupsToxic injuryPatientsSubtyping 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 mortalityNovel Risk Factors for Progression of Diabetic and Nondiabetic CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study
Anderson AH, Xie D, Wang X, Baudier RL, Orlandi P, Appel LJ, Dember LM, He J, Kusek JW, Lash JP, Navaneethan SD, Ojo A, Rahman M, Roy J, Scialla JJ, Sondheimer JH, Steigerwalt SP, Wilson FP, Wolf M, Feldman HI, Investigators C, Go A, Townsend R. Novel Risk Factors for Progression of Diabetic and Nondiabetic CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study. American Journal Of Kidney Diseases 2020, 77: 56-73.e1. PMID: 32866540, PMCID: PMC7752839, DOI: 10.1053/j.ajkd.2020.07.011.Peer-Reviewed Original ResearchConceptsChronic Renal Insufficiency Cohort (CRIC) StudyIndependent risk factorCKD progressionNovel risk factorsRisk factorsCohort studyComposite outcomeN-terminal pro-B-type natriuretic peptidePro-B-type natriuretic peptideChronic kidney disease progressionGlomerular filtration rate (eGFR) slopeHigh-sensitivity troponin TCox proportional hazards modelStudy designProgression of diabeticsUrinary neutrophil gelatinaseUrinary NGAL levelsUS clinical centersKidney disease progressionLow serum bicarbonateProspective cohort studyKidney replacement therapyHigh-risk subgroupsProportional hazards modelNumerous risk factorsCystatin C and Muscle Mass in Patients With Heart Failure
Ivey-Miranda JB, Inker LA, Griffin M, Rao V, Maulion C, Turner JM, Wilson FP, Tang WHW, Levey AS, Testani JM. Cystatin C and Muscle Mass in Patients With Heart Failure. Journal Of Cardiac Failure 2020, 27: 48-56. PMID: 32750487, PMCID: PMC8672303, DOI: 10.1016/j.cardfail.2020.07.013.Peer-Reviewed Original ResearchMeSH KeywordsCreatinineCystatin CGlomerular Filtration RateHeart FailureHumansMusclesRenal Insufficiency, ChronicConceptsHeart failureCreatinine clearanceMuscle massCystatin CHigher muscle massAssociation of eGFRcysGlomerular filtration rateLow muscle massCystatin C levelsAccurate GFR estimationMultivariable analysisFiltration rateEGFRcysEGFRcrBody compositionGFR estimationPatientsCreatinineC levelsClearanceMortalityAssociationResults 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 ResearchMeSH KeywordsAcute Kidney InjuryAdultBiomarkersCanadaCardiac Surgical ProceduresDisease ProgressionGlomerular Filtration RateHumansProspective StudiesRenal Insufficiency, ChronicRisk FactorsUnited StatesConceptsEstimated 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 studies
2019
Patient-Reported Outcome Measures for Adults With Kidney Disease: Current Measures, Ongoing Initiatives, and Future Opportunities for Incorporation Into Patient-Centered Kidney Care
Nair D, Wilson FP. Patient-Reported Outcome Measures for Adults With Kidney Disease: Current Measures, Ongoing Initiatives, and Future Opportunities for Incorporation Into Patient-Centered Kidney Care. American Journal Of Kidney Diseases 2019, 74: 791-802. PMID: 31492487, PMCID: PMC6875620, DOI: 10.1053/j.ajkd.2019.05.025.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAdultFemaleHumansKidney Failure, ChronicMaleMiddle AgedPatient Reported Outcome MeasuresPatient-Centered CareProgram EvaluationQuality of LifeRenal Insufficiency, ChronicTreatment OutcomeConceptsPatient-reported outcome measuresHealth care policyKidney diseaseClinical trialsOutcome measuresClinical careCare policyPerception of diseaseLaboratory markersPatient's symptomsKidney carePatient experienceNephrology communityPatient voiceNarrative overviewDiseaseCareSymptomsTrialsAdultsOngoing initiativesNephrologistsPatientsCliniciansInsulin 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
Utility of Electronic Medical Record Alerts to Prevent Drug Nephrotoxicity
Martin M, Wilson FP. Utility of Electronic Medical Record Alerts to Prevent Drug Nephrotoxicity. Clinical Journal Of The American Society Of Nephrology 2018, 14: 115-123. PMID: 29622668, PMCID: PMC6364537, DOI: 10.2215/cjn.13841217.Commentaries, Editorials and LettersMeSH KeywordsAcute Kidney InjuryAlert Fatigue, Health PersonnelDecision Support Systems, ClinicalElectronic Health RecordsHumansLaboratory Critical ValuesMedication ErrorsRenal Insufficiency, ChronicConceptsElectronic medical record alertsAppropriate drug dosingRisk of AKIAKI alertsDrug nephrotoxicityInappropriate prescribingPrompt recognitionClinical outcomesIatrogenic formDrug dosingPatient benefitAKIPrescribers' actionsOff-target effectsPatientsSuch alertsMethods of evaluationNephrotoxicityPrescribingDosingNephrotoxins
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-1Proton 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 ResearchMeSH KeywordsAdultAgedCohort StudiesFemaleHistamine H2 AntagonistsHumansIncidenceMaleMiddle AgedProton Pump InhibitorsRenal Insufficiency, ChronicRisk FactorsUnited StatesConceptsIncident 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 use
2014
Urinary Creatinine Excretion, Bioelectrical Impedance Analysis, and Clinical Outcomes in Patients with CKD: The CRIC Study
Wilson FP, Xie D, Anderson AH, Leonard MB, Reese PP, Delafontaine P, Horwitz E, Kallem R, Navaneethan S, Ojo A, Porter AC, Sondheimer JH, Sweeney HL, Townsend RR, Feldman HI, Investigators T. Urinary Creatinine Excretion, Bioelectrical Impedance Analysis, and Clinical Outcomes in Patients with CKD: The CRIC Study. Clinical Journal Of The American Society Of Nephrology 2014, 9: 2095-2103. PMID: 25381342, PMCID: PMC4255402, DOI: 10.2215/cjn.03790414.Peer-Reviewed Original ResearchConceptsLow urinary creatinine excretionUrinary creatinine excretionFat-free massChronic Renal Insufficiency CohortBioelectrical impedance analysisAppendicular lean massClinical outcomesCreatinine excretionLean massSerum cystatin C levelsCox proportional hazards modelLow muscle massChronic disease statesCystatin C levelsDual-energy X-ray absorptiometry assessmentDual-energy X-ray absorptiometry measurementsProportional hazards modelOutcomes of interestCohort of individualsUrinary urea nitrogenCRIC participantsCRIC StudyBlack raceESRDHazards model