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重症监护病房(ICU)获得性菌血症和 ICU 死亡率和出院:使用适当的方法解决时变混杂。

Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology.

机构信息

Modelling and Economics Unit, National Infection Service, Public Health England, London, UK; Unit of PharmacoTherapy, -Epidemiology and -Economics, Department of Pharmacy, University of Groningen, Groningen, The Netherlands; MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College School of Public Health, London, UK.

Department of Applied Mathematics, Computer Science and Statistics, Faculty of Sciences, Ghent University, Ghent, Belgium.

出版信息

J Hosp Infect. 2018 May;99(1):42-47. doi: 10.1016/j.jhin.2017.11.011. Epub 2017 Nov 23.

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 models, ICU-acquired bacteraemia was associated with a decreased daily ICU discharge risk and an increased risk of ICU mortality.

摘要

背景

研究经常忽略随时间变化的混杂因素,或者可能使用不适当的方法来调整随时间变化的混杂因素。

目的

使用适当的方法来估计重症监护病房(ICU)获得性菌血症对 ICU 死亡率和出院的影响。

方法

使用逆概率加权的边缘结构模型来估计在伦敦一所教学医院的普通 ICU 住院超过两天且前两天没有菌血症的患者中,ICU 获得性菌血症与 ICU 死亡率和出院相关的情况。为了进行比较,还使用了(i)仅调整基线混杂因素的传统 Cox 模型和(ii)调整基线和随时间变化的混杂因素的 Cox 模型来评估相同的关联。

发现

使用逆概率加权的边缘结构模型,菌血症与 ICU 死亡率增加相关(特定原因风险比(CSHR):1.29;95%置信区间(CI):1.02-1.63)和出院率降低相关(CSHR:0.52;95% CI:0.45-0.60)。在两天后仍在 ICU 且没有先前菌血症的患者中,到 60 天时,通过预防所有 ICU 获得性菌血症病例,可以预防 8.0%的 ICU 死亡。使用调整随时间变化的混杂因素的传统 Cox 模型得出了截然不同的结果[对于 ICU 死亡率,CSHR:1.08(95%CI:0.88-1.32);对于出院率,CSHR:0.68(95%CI:0.60-0.77)]。

结论

在这项研究中,即使使用逆概率加权对边缘结构模型进行调整,以调整菌血症发生的时间和随时间变化的混杂因素,ICU 获得性菌血症仍与每日 ICU 出院风险降低和 ICU 死亡率增加相关。

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