Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology
Studies often ignore time-varying confounding or may use inappropriate methodology to adjust for time-varying confounding.To estimate the effect of intensive care unit (ICU)-acquired bacteraemia on ICU mortality and discharge using appropriate methodology.Marginal structural models with inverse prob...
Main Authors: | , , , , , |
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Format: | Journal article |
Language: | English |
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Elsevier
2017
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author | Pouwels, K Vansteelandt, S Batra, R Edgeworth, J Smieszek, T Robotham, J |
author_facet | Pouwels, K Vansteelandt, S Batra, R Edgeworth, J Smieszek, T Robotham, J |
author_sort | Pouwels, K |
collection | OXFORD |
description | Studies often ignore time-varying confounding or may use inappropriate methodology to adjust for time-varying confounding.To estimate the effect of intensive care unit (ICU)-acquired bacteraemia on ICU mortality and discharge using appropriate methodology.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.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)].In this study, even after adjusting for the timing of acquiring bacteraemia and time-varying confounding using inverse probability weighting for marginal structural models, ICU-acquired bacteraemia was associated with a decreased daily ICU discharge risk and an increased risk of ICU mortality. |
first_indexed | 2024-03-07T02:24:09Z |
format | Journal article |
id | oxford-uuid:a5020f46-7d30-4282-8967-fd2546b4fc79 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T02:24:09Z |
publishDate | 2017 |
publisher | Elsevier |
record_format | dspace |
spelling | oxford-uuid:a5020f46-7d30-4282-8967-fd2546b4fc792022-03-27T02:37:29ZIntensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodologyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a5020f46-7d30-4282-8967-fd2546b4fc79EnglishSymplectic Elements at OxfordElsevier2017Pouwels, KVansteelandt, SBatra, REdgeworth, JSmieszek, TRobotham, JStudies often ignore time-varying confounding or may use inappropriate methodology to adjust for time-varying confounding.To estimate the effect of intensive care unit (ICU)-acquired bacteraemia on ICU mortality and discharge using appropriate methodology.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.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)].In this study, even after adjusting for the timing of acquiring bacteraemia and time-varying confounding using inverse probability weighting for marginal structural models, ICU-acquired bacteraemia was associated with a decreased daily ICU discharge risk and an increased risk of ICU mortality. |
spellingShingle | 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 |
title | Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology |
title_full | Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology |
title_fullStr | Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology |
title_full_unstemmed | Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology |
title_short | Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology |
title_sort | intensive care unit icu acquired bacteraemia and icu mortality and discharge addressing time varying confounding using appropriate methodology |
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