2024
Early antiviral use and supplemental oxygen decrease the risk of secondary bacterial infections: a multi-centre, nested, case–control study
Zhu Y, Hu H, Guo X, Zhang H, Li D, Dela Cruz C, Xie W, Xie L, Sharma L, Chang D. Early antiviral use and supplemental oxygen decrease the risk of secondary bacterial infections: a multi-centre, nested, case–control study. Journal Of Hospital Infection 2024, 156: 87-95. PMID: 39701496, DOI: 10.1016/j.jhin.2024.12.005.Peer-Reviewed Original ResearchConceptsRisk of secondary bacterial infectionIncidence of secondary bacterial infectionSecondary bacterial infectionAge-adjusted Charlson Comorbidity IndexCase-control studyPropensity-score matchingBacterial infectionsCOVID-19 patientsParenteral nutritionSupplemental oxygenTreatment strategiesAssociated with significant protectionAssociated with decreased incidenceAssociated with increased incidenceConditional logistic regression analysisSusceptibility to secondary bacterial infectionsAssociated with protectionCharlson Comorbidity IndexLogistic regression analysisAssociated with significant increasesAntiviral useGastric tubeAntibacterial therapyComorbidity indexIntravenous injection
2023
Association Between COVID-19 Infection and Pulmonary Fibrosis: A Nested Case-Control Study
Najjar-Debbiny R, Barnett-Griness O, Khoury J, Gronich N, Weber G, Adir Y, Shteinberg M, Shneir S, Sharma L, Saliba W. Association Between COVID-19 Infection and Pulmonary Fibrosis: A Nested Case-Control Study. The American Journal Of Medicine 2023, 136: 1087-1093.e2. PMID: 37598922, DOI: 10.1016/j.amjmed.2023.07.020.Peer-Reviewed Original ResearchPulmonary fibrosisCase-control studyCOVID-19 severityCOVID-19Multivariable conditional logistic regression modelsNested Case-Control StudyConditional logistic regression modelsSevere COVID-19Prior COVID-19COVID-19 infectionLogistic regression modelsLargest healthcare providerUnderlying cohortCohort entrySignificant morbiditySurveillance biasOdds ratioSevere diseaseFibrosisHealthcare providersCoronavirus diseaseCalendar timePatientsCohortLag time
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