2017
A risk prediction score for acute kidney injury in the intensive care unit
Malhotra R, Kashani K, Macedo E, Kim J, Bouchard J, Wynn S, Li G, Ohno-Machado L, Mehta R. A risk prediction score for acute kidney injury in the intensive care unit. Nephrology Dialysis Transplantation 2017, 32: 814-822. PMID: 28402551, DOI: 10.1093/ndt/gfx026.Peer-Reviewed Original ResearchConceptsAcute kidney injuryIntensive care unitAcute risk factorsRisk score modelICU admissionKidney injuryCare unitValidation cohortKidney diseaseRisk factorsTest cohortTreatment of AKIAtherosclerotic coronary vascular diseaseMulticenter prospective cohort studyGlobal Outcomes criteriaChronic kidney diseaseHigh-risk patientsProspective cohort studyChronic liver diseaseCongestive heart failureTime of screeningCoronary vascular diseaseRisk prediction scoreEarly therapeutic interventionExternal validation cohort
2014
pSCANNER: patient-centered Scalable National Network for Effectiveness Research
Ohno-Machado L, Agha Z, Bell D, Dahm L, Day M, Doctor J, Gabriel D, Kahlon M, Kim K, Hogarth M, Matheny M, Meeker D, Nebeker J, team T, Resnic F, Khodyakov D, Armstead L, Nagler T, Morley S, Anderson N, Cooper D, Phillips D, Heber D, Li Z, Ong M, Patel A, Zachariah M, Burns J, Daniels L, Doan S, Farcas C, Germann-Kurtz R, Jiang X, Kim H, Paul P, Taras H, Tremoulet A, Wang S, Zhu W, Berman D, Rizk-Jackson A, D’Arcy M, Kesselman C, Knight T, Pearlman L, Heidenreich P, Rifkin D, Stepnowsky C, Zamora T, DuVall S, Frey L, Scehnet J, Sauer B, Facelli J, Gouripeddi R, Denton J, FitzHenry F, Fly J, Messina V, Minter F, Nookala L, Sullivan H, Speroff T, Westerman D. pSCANNER: patient-centered Scalable National Network for Effectiveness Research. Journal Of The American Medical Informatics Association 2014, 21: 621-626. PMID: 24780722, PMCID: PMC4078293, DOI: 10.1136/amiajnl-2014-002751.Peer-Reviewed Original ResearchConceptsInitial use caseCommon data modelPatient Centered Outcomes Research InstituteHealth information exchange dataComputing infrastructuresFederated networkUse casesDistributed systemData modelComputation modelExchange dataPatient-powered research networksCommunity-based outpatient clinicsNetworkCongestive heart failureOutcomes Research InstituteEffectiveness researchAsynchronous modeHealth services researchersKawasaki diseaseHeart failureOutpatient clinicVA InformaticsAmbulatory careNational network
2000
Major complications after angioplasty in patients with chronic renal failure: a comparison of predictive models.
Lacson R, Ohno-Machado L. Major complications after angioplasty in patients with chronic renal failure: a comparison of predictive models. AMIA Annual Symposium Proceedings 2000, 457-61. PMID: 11079925, PMCID: PMC2243840.Peer-Reviewed Original ResearchConceptsPercutaneous transluminal coronary angioplastyEnd-stage renal diseaseChronic renal failureMajor complicationsRenal failureCongestive heart failurePatient risk factorsTransluminal coronary angioplastyLogistic regression modelsCoronary angioplastyHeart failureRenal diseasePoor outcomeMyocardial infarctionRisk factorsPrior historyPresence of shockComplicationsLogistic regressionPatientsDiscriminatory abilityDemographic characteristicsAngioplastyRegression modelsStandard logistic regression model