Featured Publications
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
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 teamAlerting Clinicians to 1-Year Mortality Risk in Patients Hospitalized With Heart Failure
Ahmad T, Desai NR, Yamamoto Y, Biswas A, Ghazi L, Martin M, Simonov M, Dhar R, Hsiao A, Kashyap N, Allen L, Velazquez EJ, Wilson FP. Alerting Clinicians to 1-Year Mortality Risk in Patients Hospitalized With Heart Failure. JAMA Cardiology 2022, 7: 905-912. PMID: 35947362, PMCID: PMC9366654, DOI: 10.1001/jamacardio.2022.2496.Peer-Reviewed Original ResearchConceptsUsual care groupElectronic health recordsHeart failureAlert groupMedian agePrimary outcomeFemale patientsTerminal pro-brain natriuretic peptide levelsYale New Haven Health SystemPro-brain natriuretic peptide levelsMedian NT-proBNP levelLeft ventricular ejection fractionLarge tertiary care centerHeart failure hospitalizationHeart failure medicationsNatriuretic peptide levelsNT-proBNP levelsHealth recordsHours of admissionTertiary care centerVentricular ejection fractionRate of hospitalizationIntensive care unitEthnicity groupsSmall community hospital
2021
A neutrophil activation signature predicts critical illness and mortality in COVID-19
Meizlish ML, Pine AB, Bishai JD, Goshua G, Nadelmann ER, Simonov M, Chang CH, Zhang H, Shallow M, Bahel P, Owusu K, Yamamoto Y, Arora T, Atri DS, Patel A, Gbyli R, Kwan J, Won CH, Dela Cruz C, Price C, Koff J, King BA, Rinder HM, Wilson FP, Hwa J, Halene S, Damsky W, van Dijk D, Lee AI, Chun HJ. A neutrophil activation signature predicts critical illness and mortality in COVID-19. Blood Advances 2021, 5: 1164-1177. PMID: 33635335, PMCID: PMC7908851, DOI: 10.1182/bloodadvances.2020003568.Peer-Reviewed Original ResearchConceptsCritical illnessHealth system databaseNeutrophil activationCOVID-19Neutrophil activation signatureSevere COVID-19Intensive care unitGranulocyte colony-stimulating factorHigh mortality rateColony-stimulating factorSystem databaseHepatocyte growth factorClinical decompensationNeutrophil countImmune hyperactivationCare unitEarly elevationLipocalin-2Interleukin-8Longitudinal cohortClinical dataMortality ratePatientsIllnessActivation signature
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
2019
Electronic Alerts for Acute Kidney Injury Amelioration (ELAIA-1): a completely electronic, multicentre, randomised controlled trial: design and rationale
Mutter M, Martin M, Yamamoto Y, Biswas A, Etropolski B, Feldman H, Garg A, Gourlie N, Latham S, Lin H, Palevsky PM, Parikh C, Moreira E, Ugwuowo U, Wilson FP. Electronic Alerts for Acute Kidney Injury Amelioration (ELAIA-1): a completely electronic, multicentre, randomised controlled trial: design and rationale. BMJ Open 2019, 9: e025117. PMID: 31154298, PMCID: PMC6549649, DOI: 10.1136/bmjopen-2018-025117.Peer-Reviewed Original ResearchConceptsAcute kidney injuryElectronic alertsMedical intensive care unitYale-New Haven HospitalDays of randomisationIntensive care unitElectronic alert systemNew Haven HospitalAppropriate ethics committeeElectronic medical record systemAKI alertsAKI progressionAlert specificityInpatient dialysisKidney injuryHospitalised patientsPeer-reviewed journalsUsual careInpatient deathMedical record systemPrimary outcomeCare unitExclusion criteriaOrder setsInformed consent
2015
Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial
Wilson FP, Shashaty M, Testani J, Aqeel I, Borovskiy Y, Ellenberg SS, Feldman HI, Fernandez H, Gitelman Y, Lin J, Negoianu D, Parikh CR, Reese PP, Urbani R, Fuchs B. Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial. The Lancet 2015, 385: 1966-1974. PMID: 25726515, PMCID: PMC4475457, DOI: 10.1016/s0140-6736(15)60266-5.Peer-Reviewed Original ResearchConceptsAcute kidney injuryUsual care groupKidney injuryCare groupAlert groupClinical outcomesElectronic alertsEligible participantsKidney Disease Improving Global OutcomesEnd-stage renal diseaseAcute kidney injury alertsEffective treatment optionIntensive care unitElectronic alert systemComputer-generated sequenceRandomisation strataSurgical admissionsUsual carePrimary outcomeRenal diseaseCare unitTreatment optionsCreatinine valuesCreatinine concentrationSuch injuries