Complexo do Hospital de Clínicas, Faculdade de Medicina, Universidade Federal do Paraná - Curitiba (PR), Brazil.
Crit Care Sci. 2023 Mar 1;35(1):66-72. doi: 10.5935/2965-2774.20230312-en.
To evaluate whether a model of a daily fitness checklist for spontaneous breathing tests is able to identify predictive variables of extubation failure in pediatric patients admitted to a Brazilian intensive care unit.
This was a single-center, cross-sectional study with prospective data collection. The checklist model comprised 20 items and was applied to assess the ability to perform spontaneous breathing tests.
The sample consisted of 126 pediatric patients (85 males (67.5%)) on invasive mechanical ventilation, for whom 1,217 daily assessments were applied at the bedside. The weighted total score of the prediction model showed the highest discriminatory power for the spontaneous breathing test, with sensitivity and specificity indices for fitness failure of 89.7% or success of 84.6%. The cutoff point suggested by the checklist was 8, with a probability of extubation failure less than 5%. Failure increased progressively with increasing score, with a maximum probability of predicting extubation failure of 85%.
The extubation failure rate with the use of this model was within what is acceptable in the literature. The daily checklist model for the spontaneous breathing test was able to identify predictive variables of failure in the extubation process in pediatric patients.
评估日常体能检查表模型是否能够识别巴西重症监护病房收治的儿科患者拔管失败的预测变量。
这是一项单中心、前瞻性数据收集的横断面研究。检查表模型包括 20 个项目,用于评估进行自主呼吸试验的能力。
该样本包括 126 名接受有创机械通气的儿科患者(男性 85 名(67.5%)),对他们进行了 1,217 次日常床边评估。预测模型的加权总分对自主呼吸试验具有最高的判别能力,对体能衰竭的敏感性和特异性指数分别为 89.7%和 84.6%。检查表建议的截止值为 8,拔管失败的概率小于 5%。随着评分的增加,失败率逐渐增加,预测拔管失败的最大概率为 85%。
该模型的拔管失败率在文献中是可以接受的。自主呼吸试验的日常检查表模型能够识别儿科患者拔管过程中失败的预测变量。