2024
Hypertension Control During the Coronavirus Disease 2019 Pandemic
Korves C, Peixoto A, Lucas B, Davies L, Weinberger D, Rentsch C, Vashi A, Young-Xu Y, King J, Asch S, Justice A. Hypertension Control During the Coronavirus Disease 2019 Pandemic. Medical Care 2024, 62: 196-204. PMID: 38284412, PMCID: PMC10922611, DOI: 10.1097/mlr.0000000000001971.Peer-Reviewed Original ResearchConceptsHypertension controlFollow-up intervalPrimary care clinic visitsFollow-up lengthVeterans Health AdministrationControlled hypertensionUncontrolled hypertensionGeneralized estimating equationsCohort of individualsStudy inclusion criteriaHealth careHealth AdministrationLonger follow-up intervalsBlood pressure measurementsAssessed associationsClinic visitsInclusion criteriaDecreased likelihoodEstimating equationsPrepandemic periodLow likelihoodCoronavirus diseaseFollow-upHypertensionIndividuals
2023
Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV
Torgersen J, Akers S, Huo Y, Terry J, Carr J, Ruutiainen A, Skanderson M, Levin W, Lim J, Taddei T, So‐Armah K, Bhattacharya D, Rentsch C, Shen L, Carr R, Shinohara R, McClain M, Freiberg M, Justice A, Re V. Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV. Pharmacoepidemiology And Drug Safety 2023, 32: 1121-1130. PMID: 37276449, PMCID: PMC10527049, DOI: 10.1002/pds.5648.Peer-Reviewed Original ResearchConceptsSevere hepatic steatosisHepatic steatosisHIV statusLiver attenuationHounsfield unitsPredictive valueRadiologist assessmentUS Veterans Health AdministrationNoncontrast abdominal CTVeterans Health AdministrationCross-sectional studySample of patientsNegative predictive valueReal-world studyPositive predictive valueAbdominal CTLiver fatTomography scanSteatosisCT imagesHealth AdministrationPharmacoepidemiologic studiesRadiologist reviewHIVPercent agreement
2022
Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV
Dickerman BA, Dahabreh IJ, Cantos KV, Logan RW, Lodi S, Rentsch CT, Justice AC, Hernán MA. Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV. European Journal Of Epidemiology 2022, 37: 367-376. PMID: 35190946, PMCID: PMC9189026, DOI: 10.1007/s10654-022-00855-8.Peer-Reviewed Original Research