Hospital Acquired Infections in Surgical Patients: Impact of COVID-19-Related Infection Prevention Measures
Autor: | Nicole Tham, Timothy Fazio, Douglas Johnson, Anita Skandarajah, Ian P. Hayes |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | World Journal of Surgery. 46:1249-1258 |
ISSN: | 1432-2323 0364-2313 |
DOI: | 10.1007/s00268-022-06539-4 |
Popis: | Background Hospital acquired infections are common, costly, and potentially preventable adverse events. This study aimed to determine the effect of the COVID-19 pandemic-related escalation in infection prevention and control measures on the incidence of hospital acquired infection in surgical patients in a low COVID-19 environment in Australia. Method This was a retrospective cohort study in a tertiary institution. All patients undergoing a surgical procedure from 1 April 2020 to 30 June 2020 (COVID-19 pandemic period) were compared to patients pre-pandemic (1 April 2019–30 June 2019). The primary outcome investigated was odds of overall hospital acquired infection. The secondary outcome was patterns of involved microorganisms. Univariable and multivariable logistic regression analysis was performed to assess odds of hospital acquired infection. Results There were 5945 admission episodes included in this study, 224 (6.6%) episodes had hospital acquired infections in 2019 and 179 (7.1%) in 2020. Univariable logistic regression analysis demonstrated no evidence of change in odds of having a hospital acquired infection between cohorts (OR 1.08, 95% CI 0.88–1.33, P = 0.434). The multivariable regression analysis adjusting for potentially confounding co-variables also demonstrated no evidence of change in odds of hospital acquired infection (OR 0.93, 95% CI 0.74–1.16, P = 0.530). Conclusion Increased infection prevention and control measures did not affect the incidence of hospital acquired infection in surgical patients in our institution, suggesting that there may be a plateau effect with these measures in a system with a pre-existing high baseline of practice. |
Databáze: | OpenAIRE |
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