Personalizing the empiric treatment of gonorrhea using machine learning models
Murray-Watson R, Grad Y, St. Cyr S, Yaesoubi R. Personalizing the empiric treatment of gonorrhea using machine learning models. PLOS Digital Health 2024, 3: e0000549. PMID: 39141668, PMCID: PMC11324139, DOI: 10.1371/journal.pdig.0000549.Peer-Reviewed Original ResearchGonococcal Isolate Surveillance ProjectTreatment of gonorrheaEmpirical treatmentAntimicrobial-resistantNational surveillance systemEffects of first-line therapyEmpirical treatment of gonorrhoeaPrevalence of antimicrobial-resistantPrevalence of resistant strainsStandard guidelinesFirst-line therapyResistant to ciprofloxacinFirst-line antibioticsRecommended first-line antibioticsEmergence of antimicrobial-resistantPatients' basic characteristicsStrains of Neisseria gonorrhoeaeSurveillance projectPrescribing effective treatmentCeftriaxoneGonorrheaRecommended treatmentEffective treatmentPersonalized treatmentCefiximeAssessing thresholds of resistance prevalence at which empiric treatment of gonorrhea should change among men who have sex with men in the US: A cost-effectiveness analysis
Yin X, Li Y, Rönn M, Li S, Yuan Y, Gift T, Hsu K, Salomon J, Grad Y, Yaesoubi R. Assessing thresholds of resistance prevalence at which empiric treatment of gonorrhea should change among men who have sex with men in the US: A cost-effectiveness analysis. PLOS Medicine 2024, 21: e1004424. PMID: 38976754, PMCID: PMC11262662, DOI: 10.1371/journal.pmed.1004424.Peer-Reviewed Original ResearchDrug susceptibility testingQuality-adjusted life yearsFirst-line therapyFirst-line antibioticsNet health benefitFirst-lineRetreatment regimensResistance prevalenceRapid drug susceptibility testingRate of treatment failureTreatment of gonorrheaIncidence of gonorrheaAssociated with gonorrheaEmpirical therapyTreatment failureEmpirical treatmentGonococcal infectionSusceptibility testingGonorrhea casesMSM populationGonorrheaCost-effectiveness analysisDiagnostic testsResistant strainsTherapy