2022
Development and Validation of a Model for Prediction of End-Stage Liver Disease in People With HIV
Kim HN, Nance RM, Re V, Silverberg MJ, Franco R, Sterling TR, Cachay ER, Horberg MA, Althoff KN, Justice AC, Moore RD, Klein M, Crane HM, Delaney JA, Kitahata MM. Development and Validation of a Model for Prediction of End-Stage Liver Disease in People With HIV. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2022, 89: 396-404. PMID: 35202048, PMCID: PMC8887786, DOI: 10.1097/qai.0000000000002886.Peer-Reviewed Original ResearchConceptsEnd-stage liver diseaseLiver diseaseNorth American AIDS Cohort CollaborationStandardized medical record reviewAccessible clinical parametersHIV-specific factorsChronic hepatitis BFibrosis-4 indexMedical record reviewSpontaneous bacterial peritonitisHarrell's C-statisticHepatitis B virusHepatitis C virusAlcohol use disorderRisk prediction modelRace/ethnicityCohort CollaborationESLD riskHepatic impairmentVariceal bleedHepatitis BBacterial peritonitisHepatic encephalopathyRecord reviewClinical parameters
2020
Brief Report: Accuracy of FIB-4 for Cirrhosis in People Living With HIV and Hepatocellular Carcinoma.
Torgersen J, Kallan MJ, Carbonari DM, Park LS, Mehta RL, D'Addeo K, Tate JP, Lim JK, Goetz MB, Rodriguez-Barradas MC, Bräu N, Brown ST, Taddei TH, Justice AC, Lo Re V. Brief Report: Accuracy of FIB-4 for Cirrhosis in People Living With HIV and Hepatocellular Carcinoma. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2020, 85: 530-534. PMID: 33185999, PMCID: PMC8353543, DOI: 10.1097/qai.0000000000002510.Peer-Reviewed Original ResearchConceptsSetting of HCCFIB-4Receiver-operating characteristic curveHepatocellular carcinomaHCC diagnosisPredictive valueVeterans Aging Cohort StudyEvidence of cirrhosisSetting of HIVAbsence of cirrhosisFIB-4 scoreFibrosis-4 indexIncident hepatocellular carcinomaMedical record reviewPrevalence of cirrhosisAging Cohort StudyCross-sectional studyCharacteristic curveNegative predictive valuePositive predictive valueCirrhosis statusCohort studyMechanisms of carcinogenesisRecord reviewPlatelet count
2013
Validation of an algorithm to identify antiretroviral‐naïve status at time of entry into a large, observational cohort of HIV‐infected patients
Gandhi NR, Tate JP, Rodriguez‐Barradas M, Rimland D, Goetz MB, Gibert C, Brown ST, Mattocks K, Justice AC. Validation of an algorithm to identify antiretroviral‐naïve status at time of entry into a large, observational cohort of HIV‐infected patients. Pharmacoepidemiology And Drug Safety 2013, 22: 1019-1025. PMID: 23836591, PMCID: PMC3831617, DOI: 10.1002/pds.3476.Peer-Reviewed Original ResearchConceptsART-naïve patientsViral load thresholdMedical record reviewAntiretroviral treatmentMedical recordsHIV cohortObservational cohortRecord reviewVeterans Aging Cohort Study Virtual CohortVirtual cohortPrevious antiretroviral treatmentLaboratory dataPatients' medical recordsPositive predictive value 87Cohort entryAdverse eventsHIV outcomesRandomized trialsRetrospective studyAdverse reactionsTime of entryCopies/ART treatmentTreatment statusTreatment history