2024
Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning
Cogill S, Nallamshetty S, Fullenkamp N, Heberer K, Lynch J, Lee K, Aslan M, Shih M, Lee J. Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning. PLOS ONE 2024, 19: e0290221. PMID: 38662748, PMCID: PMC11045098, DOI: 10.1371/journal.pone.0290221.Peer-Reviewed Original ResearchConceptsHigh-risk groupSARS-CoV-2 infectionAnticoagulant useAdverse outcomesPredictor of adverse outcomesHigher risk of adverse outcomesLower body mass indexRisk of adverse outcomesVaccination of high-risk groupsOral anticoagulant useOutcome of SARS-CoV-2 infectionRetrospective longitudinal observational studySARS-CoV-2U.S. Veterans Health AdministrationClinical outcomes of SARS-CoV-2 infectionIdentification of patientsBody mass indexVeterans Health AdministrationPredictors of hospitalizationEscalation of careLongitudinal observational studyClinical outcomesOmicron SARS-CoV-2 variantSARS-CoV-2 variantsUnvaccinated patients
2004
Childhood maltreatment as a risk factor for adult cardiovascular disease and depression.
Batten SV, Aslan M, Maciejewski PK, Mazure CM. Childhood maltreatment as a risk factor for adult cardiovascular disease and depression. The Journal Of Clinical Psychiatry 2004, 65: 249-54. PMID: 15003081, DOI: 10.4088/jcp.v65n0217.Peer-Reviewed Original ResearchConceptsCardiovascular diseaseRisk factorsChildhood maltreatmentAdult depressionMultiple logistic regression modelAdult cardiovascular diseasePotent risk factorEffective clinical assessmentNational Comorbidity SurveySignificant increaseU.S. National Comorbidity SurveyLogistic regression modelsSex differencesCardiovascular eventsRepresentative sampleClinical assessmentLifetime depressionDiseaseAdult HealthPhysical outcomesWomenDepressionChildhood abuseMenDemographic factors