使用边缘结构模型重新评估危重患者呼吸机相关事件与死亡率之间的关系:多中心观察性研究

IF 21.2 1区 医学 Q1 CRITICAL CARE MEDICINE
Susumu Nakahashi, Kei Suzuki, Takaya Nakashima, Yoshiro Hayashi, Yuko Tanabe, Aiko Tanaka, Shinsuke Hashiuchi, Chizuru Yamashita, Yusuke Ito, Takeshi Wada, Ayahiro Yamashita, Masanori Shima, Tetsuya Hoshino, Kiyoshi Moriyama, Satoshi Kazuma, Hyun Ah Lee, Yoshikazu Yamaguchi, Yukari Nakamura, Yu Kawanobe, Toshiki Sofue, Yuki Nishimura, Tomohiro Shinozaki, Tadahiro Goto, Satoru Hashimoto, Yuji Fujino, Nobuaki Shime
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引用次数: 0

摘要

目的由美国疾病控制与预防中心(CDC)开发的呼吸机相关事件(VAEs)被认为是与不良预后相关的新的医疗质量指标。然而,先前的研究未能调整患者严重程度的变化,这使得VAEs只是严重程度的替代品的可能性成为可能。本研究旨在重新评估VAEs与死亡率之间的关系,并根据严重程度随时间的变化进行调整。方法本多中心观察研究于2020年5月至2022年12月在日本的18个icu中进行。年龄≥12岁且连续≥3天接受机械通气的患者入选。根据CDC的定义诊断VAE。主要结局是30天住院死亡率,其与VAE的关系通过逆概率加权比例风险模型估计,患者严重程度的时间变化被视为时间依赖的混杂因素。结果在1094名受试者中,发现106例VAEs(9.7%),发生率为10.0 / 1000通气日。VAEs与30天住院和ICU死亡率增加(HR 2.00; 95% CI 1.23-3.26; HR 1.92; 95% CI 1.03-3.57)、住院和ICU住院时间延长(HR 0.72, 95% CI 0.54-0.97; HR 0.47; 95% CI 0.23-0.96)显著相关。住院死亡和ICU死亡的人群归因风险分数分别为8.8%和8.2%。结论:在调整严重程度后,svae与死亡风险增加相关,这是一个时间依赖的混杂因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A reappraisal of association between ventilator-associated events and mortality among critically ill patients using marginal structural model: multicenter observational study

Purpose

Ventilator-associated events (VAEs), developed by the US Centers for Disease Control and Prevention (CDC), are considered a new medical quality indicator associated with poor outcomes. However, previous studies failed to adjust for changes in patient severity, leaving open the possibility that VAEs are just a surrogate for severity. This study aimed to reevaluate the association between VAEs and mortality, adjusting for changes in severity over time.

Methods

This multicenter observational study was conducted in 18 ICUs in Japan between May 2020 and December 2022. Patients aged ≥ 12 years who received mechanical ventilation for ≥ 3 consecutive days were eligible. VAE was diagnosed according to the CDC definition. The primary outcome was 30-day in-hospital mortality, whose association with VAE was estimated by the inverse probability weighted proportional hazards model, with temporal changes in patient severity treated as time-dependent confounders.

Results

Among 1,094 subjects, 106 VAEs (9.7%) were identified, giving an incidence rate of 10.0 per 1,000 ventilation days. VAEs were significantly associated with increased 30-day hospital and ICU mortality (HR 2.00; 95% CI 1.23–3.26 and HR 1.92; 95% CI 1.03–3.57), and longer hospital and ICU length of stay (HR 0.72 95% CI 0.54–0.97 and HR 0.47; 95% CI 0.23–0.96). The population attributable risk fraction of VAE-related mortality was 8.8% for in-hospital deaths and 8.2% for ICU deaths.

Conclusions

VAEs were associated with an increased risk of mortality after adjustment for severity, as a time-dependent confounder.

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来源期刊
Intensive Care Medicine
Intensive Care Medicine 医学-危重病医学
CiteScore
51.50
自引率
2.80%
发文量
326
审稿时长
1 months
期刊介绍: Intensive Care Medicine is the premier publication platform fostering the communication and exchange of cutting-edge research and ideas within the field of intensive care medicine on a comprehensive scale. Catering to professionals involved in intensive medical care, including intensivists, medical specialists, nurses, and other healthcare professionals, ICM stands as the official journal of The European Society of Intensive Care Medicine. ICM is dedicated to advancing the understanding and practice of intensive care medicine among professionals in Europe and beyond. The journal provides a robust platform for disseminating current research findings and innovative ideas in intensive care medicine. Content published in Intensive Care Medicine encompasses a wide range, including review articles, original research papers, letters, reviews, debates, and more.
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