2023
COVID-19 Infections and Predictors of Sickness Related Absences Among Healthcare Workers
Sakr C, Fakih L, Melhem N, Fakhreddine M, Musharrafieh U, Banna H, Doudakian R, Zahreddine N, Tannous J, Kanj S, Slade M, Redlich C, Rahme D. COVID-19 Infections and Predictors of Sickness Related Absences Among Healthcare Workers. Journal Of Occupational And Environmental Medicine 2023, 65: 590-594. PMID: 37015731, PMCID: PMC10332510, DOI: 10.1097/jom.0000000000002857.Peer-Reviewed Original ResearchConceptsCOVID-19 infectionHealthcare workersSick leave daysLeave daysSick leaveCross-sectional study designMonths of infectionLonger sick leaveCOVID-19Public health interventionsRegression analysisLinear regression analysisHealth interventionsStudy designInfectionSick leavesRelated absencesFuture pandemicsCOVID-19 pandemicPredictorsPandemicDaysLeaveNursesMonths
2012
The Ability of Virulence Factor Expression by Pseudomonas aeruginosa to Predict Clinical Disease in Hospitalized Patients
Ledizet M, Murray TS, Puttagunta S, Slade MD, Quagliarello VJ, Kazmierczak BI. The Ability of Virulence Factor Expression by Pseudomonas aeruginosa to Predict Clinical Disease in Hospitalized Patients. PLOS ONE 2012, 7: e49578. PMID: 23152923, PMCID: PMC3495863, DOI: 10.1371/journal.pone.0049578.Peer-Reviewed Original ResearchConceptsP. aeruginosa infectionAeruginosa infectionBacterial factorsHospitalized patientsUrinary tractPositive P. aeruginosa culturesP. aeruginosaUrinary tract cathetersP. aeruginosa isolatesLogistic regression modelsPseudomonas aeruginosaProspective cohortDiabetes mellitusSubgroup analysisClinical dataTreatment decisionsClinical diseaseAeruginosa isolatesAnimal modelsPatientsClinical sitesFactor expressionInfectionHost factorsP. aeruginosa cultures