2023
Computational phenotypes for patients with opioid-related disorders presenting to the emergency department
Taylor R, Gilson A, Schulz W, Lopez K, Young P, Pandya S, Coppi A, Chartash D, Fiellin D, D’Onofrio G. Computational phenotypes for patients with opioid-related disorders presenting to the emergency department. PLOS ONE 2023, 18: e0291572. PMID: 37713393, PMCID: PMC10503758, DOI: 10.1371/journal.pone.0291572.Peer-Reviewed Original ResearchConceptsSubstance use disordersUse disordersED visitsPatient presentationCarlson comorbidity indexOpioid-related diagnosesOpioid-related disordersOne-year survivalRate of medicationOpioid use disorderElectronic health record dataPatient-oriented outcomesYears of ageHealth record dataChronic substance use disordersED returnComorbidity indexAcute overdoseMedical managementClinical entityRetrospective studyEmergency departmentChronic conditionsInclusion criteriaUnique cohort
2022
Outcomes of Patients with Opioid-Related Diagnoses in Acute Coronary Syndrome: a National Inpatient Sample-Based Analysis
Kim Y, Pacor J, Do A, Brennan J, Fiellin D, Edelman E. Outcomes of Patients with Opioid-Related Diagnoses in Acute Coronary Syndrome: a National Inpatient Sample-Based Analysis. Journal Of General Internal Medicine 2022, 38: 563-570. PMID: 36376632, PMCID: PMC9971420, DOI: 10.1007/s11606-022-07399-3.Peer-Reviewed Original ResearchConceptsOpioid-related diagnosesPercutaneous coronary interventionCardiac arrestHospital mortalityCoronary syndromeNational Inpatient Sample databaseManagement of ACSRisk of ACSCardiovascular risk factorsOutcomes of patientsAcute coronary syndromeProportion of patientsMultivariable logistic regressionNational Inpatient SampleHospital cardiac arrestRisk of mortalityBackgroundAcute coronary syndromeOutcomes of interestT-testStudent's t-testPrimary independent variableHospital outcomesACS managementCoronary interventionOpioid use