Janet Raboud 1 , 2 , Altynay Shigayeva 3 , Allison McGeer 2 , 3 , 4 , * , Erika Bontovics 5 , Martin Chapman 6 , 7 , Denise Gravel 8 , Bonnie Henry 9 , Stephen Lapinsky 3 , 10 , Mark Loeb 11 , L. Clifford McDonald 12 , Marianna Ofner 2 , 8 , Shirley Paton 8 , Donna Reynolds 13 , Damon Scales 7 , 10 , Sandy Shen 1 , Andrew Simor 4 , 7 , Thomas Stewart 3 , 10 , Mary Vearncombe 4 , 7 , Dick Zoutman 14 , Karen Green 3
19 May 2010
In the 2003 Toronto SARS outbreak, SARS-CoV was transmitted in hospitals despite adherence to infection control procedures. Considerable controversy resulted regarding which procedures and behaviours were associated with the greatest risk of SARS-CoV transmission.
A retrospective cohort study was conducted to identify risk factors for transmission of SARS-CoV during intubation from laboratory confirmed SARS patients to HCWs involved in their care. All SARS patients requiring intubation during the Toronto outbreak were identified. All HCWs who provided care to intubated SARS patients during treatment or transportation and who entered a patient room or had direct patient contact from 24 hours before to 4 hours after intubation were eligible for this study. Data was collected on patients by chart review and on HCWs by interviewer-administered questionnaire. Generalized estimating equation (GEE) logistic regression models and classification and regression trees (CART) were used to identify risk factors for SARS transmission.
45 laboratory-confirmed intubated SARS patients were identified. Of the 697 HCWs involved in their care, 624 (90%) participated in the study. SARS-CoV was transmitted to 26 HCWs from 7 patients; 21 HCWs were infected by 3 patients. In multivariate GEE logistic regression models, presence in the room during fiberoptic intubation (OR = 2.79, p = .004) or ECG (OR = 3.52, p = .002), unprotected eye contact with secretions (OR = 7.34, p = .001), patient APACHE II score ≥20 (OR = 17.05, p = .009) and patient Pa0 2/Fi0 2 ratio ≤59 (OR = 8.65, p = .001) were associated with increased risk of transmission of SARS-CoV. In CART analyses, the four covariates which explained the greatest amount of variation in SARS-CoV transmission were covariates representing individual patients.