高频振荡通气治疗急性呼吸窘迫综合征的异质性治疗效果:急性呼吸窘迫综合征振荡早期治疗(OSCILLATE)试验的事后分析》。

Q4 Medicine
Critical care explorations Pub Date : 2024-11-07 eCollection Date: 2024-11-01 DOI:10.1097/CCE.0000000000001178
Hirotada Kobayashi, Federico Angriman, Niall D Ferguson, Neill K J Adhikari
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引用次数: 0

摘要

研究目的我们试图评估急性呼吸窘迫综合征(ARDS)成人患者的不同亚群是否对高频振荡通气(HFOV)有不同的反应:高频振荡通气与传统通气的随机对照试验发现,高频振荡通气会增加院内死亡风险(主要结果)。在一项事后分析中,我们采用了三种不同的方法来评估院内死亡率治疗效果的异质性:1)基于基线 Pao2:Fio2 比率和氧合指数 (OI) 的亚组分析;2)使用多变量结果预测模型的基于风险的方法;3)通过多变量潜类分析的聚类方法。我们使用多变量逻辑回归模型来评估交互作用:五个国家的 39 个重症监护病房:干预措施:干预措施:HFOV与传统的低潮气量、高呼气末正压机械通气:HFOV对院内死亡率的影响在Pao2:Fio2比率的不同类别中是一致的(Pao2:Fio2高于或等于80的组别与Pao2:Fio2低于80的组别的调整赔率比[aOR]分别为2.04;95% CI,1.32-3.17和aOR,1.16;95% CI,0.49-2.75;交互作用P=0.05)。分别为 1.78;95% CI,0.67-4.70;aOR,3.19;95% CI,1.44-7.09;aOR,1.73;95% CI,0.82-3.65;基线 OI 四分位数分别为 aOR,1.33;95% CI,0.61-2.90;交互作用 p = 0.44)。不同风险类别的 HFOV 效果点估计值一致(最低、中度和最高风险类别分别为 aOR,2.44;95% CI,0.40-14.83;aOR,1.69;95% CI,0.75-3.85;aOR,2.10;95% CI,0.59-7.54;交互作用 p = 0.32)。采用聚类方法,HFOV 的点估计值也是一致的(聚类 1:aOR,1.85;95% CI,1.15-3.00;聚类 2:aOR,1.75;95% CI,0.91-3.38;交互作用 p = 0.75):我们没有发现 HFOV 对不同亚组 ARDS 患者的影响存在异质性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous Treatment Effects of High-Frequency Oscillatory Ventilation for Acute Respiratory Distress Syndrome: A Post Hoc Analysis of the Oscillation for Acute Respiratory Distress Syndrome Treated Early (OSCILLATE) Trial.

Objectives: We sought to evaluate whether different subgroups of adults with acute respiratory distress syndrome (ARDS) respond differently to high-frequency oscillatory ventilation (HFOV).

Design: The Oscillation for ARDS Treated Early (OSCILLATE) trial was a randomized controlled trial of HFOV vs. conventional ventilation that found an increased risk of in-hospital mortality (primary outcome) with HFOV. In a post hoc analysis, we applied three different approaches to evaluate heterogeneity of treatment effect for in-hospital mortality: 1) subgroup analyses based on baseline Pao2:Fio2 ratio and oxygenation index (OI); 2) a risk-based approach using a multivariable outcome prediction model; and 3) a clustering approach via multivariable latent class analysis. We used multivariable logistic regression models to assess for interaction.

Setting: Thirty-nine ICUs, five countries.

Subjects: Five hundred forty-eight adults with moderate to severe ARDS.

Interventions: HFOV vs. conventional mechanical ventilation with low tidal volume and higher positive end-expiratory pressure.

Measurements and main results: The effect of HFOV on in-hospital mortality was consistent across categories of Pao2:Fio2 ratio (adjusted odds ratio [aOR], 2.04; 95% CI, 1.32-3.17 and aOR, 1.16; 95% CI, 0.49-2.75 for groups with Pao2:Fio2 above or equal to 80, vs. below 80, respectively; interaction p = 0.23) and OI (aOR, 1.78; 95% CI, 0.67-4.70; aOR, 3.19; 95% CI, 1.44-7.09; aOR, 1.73; 95% CI, 0.82-3.65; and aOR, 1.33; 95% CI, 0.61-2.90 for quartiles of baseline OI, respectively; interaction p = 0.44). Point estimates for the effect of HFOV were consistent across risk categories (aOR, 2.44; 95% CI, 0.40-14.83; aOR, 1.69; 95% CI, 0.75-3.85; and aOR, 2.10; 95% CI, 0.59-7.54 for the lowest, moderate, and highest risk categories, respectively; interaction p = 0.32). Using a clustering approach, point estimates for HFOV were also consistent (cluster 1: aOR, 1.85; 95% CI, 1.15-3.00 and cluster 2: aOR, 1.75; 95% CI, 0.91-3.38; interaction p = 0.75).

Conclusions: We did not identify heterogeneity in the effect of HFOV across different subgroups of patients with ARDS.

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CiteScore
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