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不明原因的脓毒性休克试验死亡率差异:人群特征和对照组死亡率的系统分析。

Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates.

机构信息

Department of Intensive Care, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.

Department of Anesthesiology, VU University Medical Center, Amsterdam, The Netherlands.

出版信息

Intensive Care Med. 2018 Mar;44(3):311-322. doi: 10.1007/s00134-018-5134-8. Epub 2018 Mar 15.

Abstract

PURPOSE

Although the definition of septic shock has been standardized, some variation in mortality rates among clinical trials is expected. Insights into the sources of heterogeneity may influence the design and interpretation of septic shock studies. We set out to identify inclusion criteria and baseline characteristics associated with between-trial differences in control group mortality rates.

METHODS

We conducted a systematic review of RCTs published between 2006 and 2018 that included patients with septic shock. The percentage of variance in control-group mortality attributable to study heterogeneity rather than chance was measured by I. The association between control-group mortality and population characteristics was estimated using linear mixed models and a recursive partitioning algorithm.

RESULTS

Sixty-five septic shock RCTs were included. Overall control-group mortality was 38.6%, with significant heterogeneity (I = 93%, P < 0.0001) and a 95% prediction interval of 13.5-71.7%. The mean mortality rate did not differ between trials with different definitions of hypotension, infection or vasopressor or mechanical ventilation inclusion criteria. Population characteristics univariately associated with mortality rates were mean Sequential Organ Failure Assessment score (standardized regression coefficient (β) = 0.57, P = 0.007), mean serum creatinine (β = 0.48, P = 0.007), the proportion of patients on mechanical ventilation (β = 0.61, P < 0.001), and the proportion with vasopressors (β = 0.57, P = 0.002). Combinations of population characteristics selected with a linear model and recursive partitioning explained 41 and 42%, respectively, of the heterogeneity in mortality rates.

CONCLUSIONS

Among 65 septic shock trials, there was a clinically relevant amount of heterogeneity in control group mortality rates which was explained only partly by differences in inclusion criteria and reported baseline characteristics.

摘要

目的

尽管已对感染性休克的定义进行了标准化,但临床试验中死亡率的差异仍在所难免。对异质性来源的深入了解可能会影响感染性休克研究的设计和解释。我们旨在确定与对照组死亡率差异相关的纳入标准和基线特征。

方法

我们对 2006 年至 2018 年间发表的感染性休克随机对照试验进行了系统回顾。采用 I 指数衡量研究异质性而非偶然性导致对照组死亡率差异的百分比。采用线性混合模型和递归分区算法估计对照组死亡率与人群特征之间的关系。

结果

共纳入 65 项感染性休克随机对照试验。总体对照组死亡率为 38.6%,存在显著异质性(I=93%,P<0.0001),95%预测区间为 13.5-71.7%。不同低血压、感染或血管加压素或机械通气纳入标准定义的试验中,对照组死亡率无差异。与死亡率相关的人群特征包括序贯器官衰竭评估评分的平均值(标准化回归系数(β)=0.57,P=0.007)、血清肌酐的平均值(β=0.48,P=0.007)、机械通气患者的比例(β=0.61,P<0.001)和血管加压素的比例(β=0.57,P=0.002)。线性模型和递归分区选择的人群特征组合分别解释了死亡率差异的 41%和 42%。

结论

在 65 项感染性休克试验中,对照组死亡率存在显著的临床相关差异,仅部分归因于纳入标准和报告的基线特征的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcea/5861172/5b1442575e63/134_2018_5134_Fig1_HTML.jpg

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