We have located links that may give you full text access.
Season, weather and predictors of healthcare-associated Gram-negative bloodstream infections: a case-only study.
Journal of Hospital Infection 2018 June 23
BACKGROUND: Recent studies reported seasonality in healthcare-associated infections (HCAI). The association of this phenomenon with other risk factors for HCAI is not clear.
AIM: To analyse the interplay of season, weather and usual predictors of healthcare-associated bloodstream infections caused by Gram-negative bacilli (GNB-BSI).
METHODS: A case-only study was conducted in a teaching hospital in Brazil. The study enrolled 446 subjects with GNB-BSI diagnosed from July 2012 to June 2016. Demographic data, comorbidities, invasive procedures and use of antimicrobials were reviewed in medical charts. The season in which GNB-BSI occurred, and weather parameters on the day of diagnosis were recorded. Factors associated with occurrence of GNB-BSI in different seasons (reference category: winter) and caused by different GNB (reference category: Escherichia coli) were analysed. Uni- and multi-variable models of multi-nomial logistic regression were used for analysis.
FINDINGS: GNB-BSI diagnosed in summer was more likely to be caused by Klebsiella spp. [odds ratio (OR) 5.33; 95% confidence interval (CI) 2.04-13.96] or Acinetobacter baumannii (OR 2.69; 95% CI 1.04-6.96), and there was an association between Klebsiella spp. and spring (OR 2.86; 95% CI 1.14-7.18). Average temperature on the day of diagnosis was associated with Klebsiella spp. (OR 1.19; 95% CI 1.07-1.33) and A. baumannii (OR 1.20; 95% CI 1.07-1.34).
CONCLUSION: Warm seasons and daily temperature impact on the aetiology of GNB-BSI, even in models adjusted for usual risk factors. One possible explanation for these findings is that seasonality of healthcare-associated pathogens is intrinsic to micro-organisms, and not associated with comorbidities, procedures or use of antimicrobials.
AIM: To analyse the interplay of season, weather and usual predictors of healthcare-associated bloodstream infections caused by Gram-negative bacilli (GNB-BSI).
METHODS: A case-only study was conducted in a teaching hospital in Brazil. The study enrolled 446 subjects with GNB-BSI diagnosed from July 2012 to June 2016. Demographic data, comorbidities, invasive procedures and use of antimicrobials were reviewed in medical charts. The season in which GNB-BSI occurred, and weather parameters on the day of diagnosis were recorded. Factors associated with occurrence of GNB-BSI in different seasons (reference category: winter) and caused by different GNB (reference category: Escherichia coli) were analysed. Uni- and multi-variable models of multi-nomial logistic regression were used for analysis.
FINDINGS: GNB-BSI diagnosed in summer was more likely to be caused by Klebsiella spp. [odds ratio (OR) 5.33; 95% confidence interval (CI) 2.04-13.96] or Acinetobacter baumannii (OR 2.69; 95% CI 1.04-6.96), and there was an association between Klebsiella spp. and spring (OR 2.86; 95% CI 1.14-7.18). Average temperature on the day of diagnosis was associated with Klebsiella spp. (OR 1.19; 95% CI 1.07-1.33) and A. baumannii (OR 1.20; 95% CI 1.07-1.34).
CONCLUSION: Warm seasons and daily temperature impact on the aetiology of GNB-BSI, even in models adjusted for usual risk factors. One possible explanation for these findings is that seasonality of healthcare-associated pathogens is intrinsic to micro-organisms, and not associated with comorbidities, procedures or use of antimicrobials.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app