Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge : addressing time-varying confounding using appropriate methodology
- Author
- KB Pouwels, Stijn Vansteelandt (UGent) , R Batra, JD Edgeworth, T Smieszek and JV Robotham
- Organization
- Abstract
- Background: Studies often ignore time-varying confounding or may use inappropriate methodology to adjust for time-varying confounding. Aim: To estimate the effect of intensive care unit (ICU)-acquired bacteraemia on ICU mortality and discharge using appropriate methodology. Methods: Marginal structural models with inverse probability weighting were used to estimate the ICU mortality and discharge associated with ICU-acquired bacteraemia among patients who stayed more than two days at the general ICU of a London teaching hospital and remained bacteraemia-free during those first two days. For comparison, the same associations were evaluated with (i) a conventional Cox model, adjusting only for baseline confounders and (ii) a Cox model adjusting for baseline and time-varying confounders. Findings: Using the marginal structural model with inverse probability weighting, bacteraemia was associated with an increase in ICU mortality (cause-specific hazard ratio (CSHR): 1.29; 95% confidence interval (CI): 1.02-1.63)and a decrease in discharge (CSHR: 0.52; 95% CI: 0.45-0.60). By 60 days, among patients still in the ICU after two days and without prior bacteraemia, 8.0% of ICU deaths could be prevented by preventing all ICU-acquired bacteraemia cases. The conventional Cox model adjusting for time-varying confounders gave substantially different results [for ICU mortality, CSHR: 1.08 (95% CI: 0.88-1.32); for discharge, CSHR: 0.68 (95% CI: 0.60-0.77)]. Conclusion: In this study, even after adjusting for the timing of acquiring bacteraemia and time-varying confounding using inverse probability weighting for marginal structural
- Keywords
- Burden, Intensive care units, Bacteraemia, Inverse probability weighting, Bias, BLOOD-STREAM INFECTIONS, MARGINAL STRUCTURAL MODELS, ATTRIBUTABLE MORTALITY, NOSOCOMIAL INFECTIONS, MULTISTATE MODELS, RISK-FACTORS, EPIDEMIOLOGY, POPULATION
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Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8559877
- MLA
- Pouwels, KB, et al. “Intensive Care Unit (ICU)-Acquired Bacteraemia and ICU Mortality and Discharge : Addressing Time-Varying Confounding Using Appropriate Methodology.” JOURNAL OF HOSPITAL INFECTION, vol. 99, no. 1, 2018, pp. 42–47, doi:10.1016/j.jhin.2017.11.011.
- APA
- Pouwels, K., Vansteelandt, S., Batra, R., Edgeworth, J., Smieszek, T., & Robotham, J. (2018). Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge : addressing time-varying confounding using appropriate methodology. JOURNAL OF HOSPITAL INFECTION, 99(1), 42–47. https://doi.org/10.1016/j.jhin.2017.11.011
- Chicago author-date
- Pouwels, KB, Stijn Vansteelandt, R Batra, JD Edgeworth, T Smieszek, and JV Robotham. 2018. “Intensive Care Unit (ICU)-Acquired Bacteraemia and ICU Mortality and Discharge : Addressing Time-Varying Confounding Using Appropriate Methodology.” JOURNAL OF HOSPITAL INFECTION 99 (1): 42–47. https://doi.org/10.1016/j.jhin.2017.11.011.
- Chicago author-date (all authors)
- Pouwels, KB, Stijn Vansteelandt, R Batra, JD Edgeworth, T Smieszek, and JV Robotham. 2018. “Intensive Care Unit (ICU)-Acquired Bacteraemia and ICU Mortality and Discharge : Addressing Time-Varying Confounding Using Appropriate Methodology.” JOURNAL OF HOSPITAL INFECTION 99 (1): 42–47. doi:10.1016/j.jhin.2017.11.011.
- Vancouver
- 1.Pouwels K, Vansteelandt S, Batra R, Edgeworth J, Smieszek T, Robotham J. Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge : addressing time-varying confounding using appropriate methodology. JOURNAL OF HOSPITAL INFECTION. 2018;99(1):42–7.
- IEEE
- [1]K. Pouwels, S. Vansteelandt, R. Batra, J. Edgeworth, T. Smieszek, and J. Robotham, “Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge : addressing time-varying confounding using appropriate methodology,” JOURNAL OF HOSPITAL INFECTION, vol. 99, no. 1, pp. 42–47, 2018.
@article{8559877, abstract = {{Background: Studies often ignore time-varying confounding or may use inappropriate methodology to adjust for time-varying confounding. Aim: To estimate the effect of intensive care unit (ICU)-acquired bacteraemia on ICU mortality and discharge using appropriate methodology. Methods: Marginal structural models with inverse probability weighting were used to estimate the ICU mortality and discharge associated with ICU-acquired bacteraemia among patients who stayed more than two days at the general ICU of a London teaching hospital and remained bacteraemia-free during those first two days. For comparison, the same associations were evaluated with (i) a conventional Cox model, adjusting only for baseline confounders and (ii) a Cox model adjusting for baseline and time-varying confounders. Findings: Using the marginal structural model with inverse probability weighting, bacteraemia was associated with an increase in ICU mortality (cause-specific hazard ratio (CSHR): 1.29; 95% confidence interval (CI): 1.02-1.63)and a decrease in discharge (CSHR: 0.52; 95% CI: 0.45-0.60). By 60 days, among patients still in the ICU after two days and without prior bacteraemia, 8.0% of ICU deaths could be prevented by preventing all ICU-acquired bacteraemia cases. The conventional Cox model adjusting for time-varying confounders gave substantially different results [for ICU mortality, CSHR: 1.08 (95% CI: 0.88-1.32); for discharge, CSHR: 0.68 (95% CI: 0.60-0.77)]. Conclusion: In this study, even after adjusting for the timing of acquiring bacteraemia and time-varying confounding using inverse probability weighting for marginal structural}}, author = {{Pouwels, KB and Vansteelandt, Stijn and Batra, R and Edgeworth, JD and Smieszek, T and Robotham, JV}}, issn = {{0195-6701}}, journal = {{JOURNAL OF HOSPITAL INFECTION}}, keywords = {{Burden,Intensive care units,Bacteraemia,Inverse probability weighting,Bias,BLOOD-STREAM INFECTIONS,MARGINAL STRUCTURAL MODELS,ATTRIBUTABLE MORTALITY,NOSOCOMIAL INFECTIONS,MULTISTATE MODELS,RISK-FACTORS,EPIDEMIOLOGY,POPULATION}}, language = {{eng}}, number = {{1}}, pages = {{42--47}}, title = {{Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge : addressing time-varying confounding using appropriate methodology}}, url = {{http://doi.org/10.1016/j.jhin.2017.11.011}}, volume = {{99}}, year = {{2018}}, }
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