2022
Inclusion of social determinants of health improves sepsis readmission prediction models
Amrollahi F, Shashikumar S, Meier A, Ohno-Machado L, Nemati S, Wardi G. Inclusion of social determinants of health improves sepsis readmission prediction models. Journal Of The American Medical Informatics Association 2022, 29: 1263-1270. PMID: 35511233, PMCID: PMC9196687, DOI: 10.1093/jamia/ocac060.Peer-Reviewed Original ResearchMeSH KeywordsHumansLogistic ModelsPatient ReadmissionRetrospective StudiesRisk FactorsSepsisSocial Determinants of HealthConceptsUnplanned readmissionSepsis patientsReadmission modelsClinical/laboratory featuresSocial determinantsUnplanned hospital readmissionHigh-risk patientsObjective clinical dataLow predictive valueReadmission prediction modelsSepsis readmissionsLaboratory featuresSepsis casesHospital readmissionPredictive factorsClinical dataReadmissionHigh riskPredictive valueSDH factorsMedical carePatientsDemographic featuresLarger studyProgram cohort
2020
Burden and Outcomes of Fragmentation of Care in Hospitalized Patients With Inflammatory Bowel Diseases: A Nationally Representative Cohort
Nguyen N, Luo J, Ohno-Machado L, Sandborn W, Singh S. Burden and Outcomes of Fragmentation of Care in Hospitalized Patients With Inflammatory Bowel Diseases: A Nationally Representative Cohort. Inflammatory Bowel Diseases 2020, 27: 1026-1034. PMID: 32944753, PMCID: PMC8205632, DOI: 10.1093/ibd/izaa238.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseFragmentation of careHigh riskCohort studyBowel diseaseNationwide Readmissions Database 2013Nationally Representative CohortUS cohort studyRisk of surgeryNumber of patientsRepresentative cohort studyHealth care qualityHospital mortalityHospitalized patientsCohort 2Outpatient careChronic diseasesCohort 1Representative cohortPatientsSingle episodeReadmissionHospitalizationCare qualityCareFrailty Is Independently Associated with Mortality and Readmission in Hospitalized Patients with Inflammatory Bowel Diseases
Qian A, Nguyen N, Elia J, Ohno-Machado L, Sandborn W, Singh S. Frailty Is Independently Associated with Mortality and Readmission in Hospitalized Patients with Inflammatory Bowel Diseases. Clinical Gastroenterology And Hepatology 2020, 19: 2054-2063.e14. PMID: 32801013, PMCID: PMC7930013, DOI: 10.1016/j.cgh.2020.08.010.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesFrailtyHospitalizationHumansInflammatory Bowel DiseasesPatient ReadmissionConceptsInflammatory bowel diseaseCause of hospitalizationHigh riskFrail patientsBowel diseaseSevere inflammatory bowel diseaseNationwide Readmissions DatabaseRisk of readmissionBurden of hospitalizationRisk of complicationsCost of hospitalizationBenefits of treatmentIndependent effectsRepresentative cohort studyIndex admissionMedian followCause readmissionComorbidity indexIndex hospitalizationCohort studyInpatient mortalityOlder patientsFrailty riskHospitalized patientsLongitudinal burden
2000
Risk stratification in heart failure using artificial neural networks.
Atienza F, Martinez-Alzamora N, De Velasco J, Dreiseitl S, Ohno-Machado L. Risk stratification in heart failure using artificial neural networks. AMIA Annual Symposium Proceedings 2000, 32-6. PMID: 11079839, PMCID: PMC2243942.Peer-Reviewed Original ResearchMeSH KeywordsDisease-Free SurvivalHeart FailureHumansNeural Networks, ComputerPatient ReadmissionPrognosisRisk AssessmentSensitivity and SpecificityConceptsNeural network modelNeural networkNetwork modelMedical classification problemsArtificial neural networkSimple neural networkHeart failureAutomatic relevance determination (ARD) methodClassification problemRisk stratificationOne-year event-free survivalOne-year prognosisEvent-free survivalAccurate risk stratificationHeart failure patientsComplex multisystem diseaseNetworkFailure patientsMultisystem diseaseResampling methodPatientsPrognosisOutcomesPredictorsFailure