Hospital do Coracao (HCor)-Research Institute, São Paulo, Brazil.
Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Ann Am Thorac Soc. 2023 Jun;20(6):872-879. doi: 10.1513/AnnalsATS.202211-946OC.
Optimal infusion rate for fluid challenges in critically ill patients is unknown. A large clinical trial comparing two different infusion rates yielded neutral results. Conditional average treatment effect (CATE) assessment may aid in tailoring therapy. To estimate CATE in patients enrolled in the BaSICS trial and to assess the effects of receiving CATE model-recommended treatment in terms of hospital mortality. analysis of the BaSICS trial assessing the effect of two infusion rates for the fluid challenge (fast, 999 ml/h, control group; vs. slow, 333 ml/h, intervention group) on hospital mortality. CATE was estimated as the difference in outcome for treatment arms in counterfactuals obtained from a Bayesian model trained in the first half of the trial adjusted for predictors hypothesized to interact with the intervention. The model recommended slow or fast infusion or made no recommendation in the second half. A threshold greater than 0.90 probability of benefit was considered. A total of 10,465 patients were analyzed. The model was trained in 5,230 patients and tested in 5,235 patients. A recommendation could be made in the test set in 19% of patients (14% were recommended the control group and 5% the treatment group); for 81% of patients, no recommendation could be made. Slow infusion was more frequently recommended in cases of planned admissions in younger patients; fast infusion was recommended for older patients with sepsis. Slow infusion rate in the subgroup of patients in the test set in which slow infusion was recommended by the model was associated with an odds ratio of 0.58 (95% credible interval of 0.32-0.90; 0.99 posterior probability of benefit) for hospital mortality. Fast infusion in the subgroup in which the model recommended fast infusion was associated with an odds ratio of 0.72 (credible intervals from 0.54 to 0.91; probability of benefit >0.99). Estimation of CATEs from counterfactual probabilities in data from BaSICS provided additional information on trial data. Agreement between treatment recommendation and actual treatment was associated with lower hospital mortality. Clinical trial registered with clinicaltrials.gov (NCT02875873).
在危重病患者中,进行液体冲击治疗的最佳输液速度尚不清楚。一项比较两种不同输液速度的大型临床试验得出了中性结果。条件平均治疗效果(CATE)评估可能有助于定制治疗方案。 本研究旨在估算 BaSICS 试验中入组患者的 CATE,并评估根据 CATE 模型推荐的治疗方案对住院死亡率的影响。 对评估两种液体冲击输注速度(快速,999 ml/h,对照组;与慢速,333 ml/h,干预组)对住院死亡率影响的 BaSICS 试验进行分析。CATE 是通过从试验前半部分训练的贝叶斯模型中获得的反事实结果计算得到的,该模型根据假设与干预相互作用的预测因子进行了调整。模型建议慢速或快速输注,或者在试验后半部分不建议任何输注速度。大于 0.90 的获益概率被认为是有益的。 共分析了 10465 例患者。该模型在 5230 例患者中进行了训练,并在 5235 例患者中进行了测试。在测试集中,19%的患者可以做出推荐(14%的患者建议使用对照组,5%的患者建议使用治疗组);对于 81%的患者,无法做出推荐。在计划收治的年轻患者中,更频繁地建议使用慢速输注;对于感染性休克的老年患者,建议使用快速输注。在模型建议使用慢速输注的测试集患者亚组中,慢速输注率与住院死亡率的优势比为 0.58(95%可信区间为 0.32-0.90;99%的后验获益概率)相关。在模型建议快速输注的亚组中,快速输注与优势比为 0.72(可信区间为 0.54-0.91;获益概率>0.99)相关。 从 BaSICS 数据中的反事实概率估算 CATE 提供了试验数据的附加信息。治疗建议与实际治疗之间的一致性与较低的住院死亡率相关。该临床试验已在 clinicaltrials.gov 注册(NCT02875873)。