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机械通气患者拔管结局预测:拔管预测评分(ExPreS)的建立和验证。

Prediction of extubation outcome in mechanically ventilated patients: Development and validation of the Extubation Predictive Score (ExPreS).

机构信息

Universidade do Oeste de Santa Catarina (UNOESC), Joaçaba, Santa Catarina, Brazil.

Programa de Pós-Graduação em Biociências e Saúde, Universidade do Oeste de Santa Catarina, Joaçaba, Santa Catarina, Brazil.

出版信息

PLoS One. 2021 Mar 18;16(3):e0248868. doi: 10.1371/journal.pone.0248868. eCollection 2021.

Abstract

Despite the best efforts of intensive care units (ICUs) professionals, the extubation failure rates in mechanically ventilated patients remain in the range of 5%-30%. Extubation failure is associated with increased risk of death and longer ICU stay. This study aimed to identify respiratory and non-respiratory parameters predictive of extubation outcome, and to use these predictors to develop and validate an "Extubation Predictive Score (ExPreS)" that could be used to predict likelihood of extubation success in patients receiving invasive mechanical ventilation (IMV). Derivation cohort was composed by patients aged ≥18 years admitted to the ICU and receiving IMV through an endotracheal tube for >24 hours. The weaning process followed the established ICU protocol. Clinical signs and ventilator parameters of patients were recorded during IMV, in the end phase of weaning in pressure support ventilation (PSV) mode, with inspiratory pressure of 7 cm H2O over the PEEP (positive end expiratory pressure). Patients who tolerated this ventilation were submitted to spontaneous breathing trial (SBT) with T-tube for 30 minutes. Those who passed the SBT and a subsequent cuff-leak test were extubated. The primary outcome of this study was extubation success at 48 hours. Parameters that showed statistically significant association with extubation outcome were further investigated using the receiver operating characteristics (ROC) analysis to assess their predictive value. The area under the curve (AUC) values were used to select parameters for inclusion in the ExPreS. Univariable logistic regression analysis and ROC analysis were performed to evaluate the performance of ExPreS. Patients' inclusion and statistical analyses for the prospective validation cohort followed the same criteria used for the derivation cohort and the decision to extubate was based on the ExPreS result. In the derivation cohort, a total of 110 patients were extubated: extubation succeeded in 101 (91.8%) patients and failed in 9 (8.2%) patients. Rapid shallow-breathing index (RSBI) in SBT, dynamic lung compliance, duration of IMV, muscle strength, estimated GCS, hematocrit, and serum creatinine were significantly associated with extubation outcome. These parameters, along with another parameter-presence of neurologic comorbidity-were used to create the ExPreS. The AUC value for the ExPreS was 0.875, which was higher than the AUCs of the individual parameters. The total ExPreS can range from 0 to 100. ExPreS ≥59 points indicated high probability of success (OR = 23.07), while ExPreS ≤44 points indicated low probability of success (OR = 0.82). In the prospective validation cohort, 83 patients were extubated: extubation succeeded in 81 (97.6%) patients and failed in 2 (2.4%) patients. The AUC value for the ExPreS in this cohort was 0.971. The multiparameter score that we propose, ExPreS, shows good accuracy to predict extubation outcome in patients receiving IMV in the ICU. In the prospective validation, the use of ExPreS decreased the extubation failure rate from 8.2% to 2.4%, even in a cohort of more severe patients.

摘要

尽管重症监护病房(ICU)的专业人员已经尽力了,但在接受机械通气的患者中,拔管失败的比率仍在 5%-30%之间。拔管失败与死亡风险增加和 ICU 住院时间延长有关。本研究旨在确定与拔管结果相关的呼吸和非呼吸参数,并利用这些预测因子开发和验证一种“拔管预测评分(ExPreS)”,以预测接受有创机械通气(IMV)的患者拔管成功的可能性。推导队列由年龄≥18 岁的患者组成,这些患者因接受 IMV 而在 ICU 住院,并通过气管内管接受>24 小时的 IMV。撤机过程遵循既定的 ICU 方案。在压力支持通气(PSV)模式下,当吸气压力超过呼气末正压(PEEP)7cmH2O 时,记录患者的临床体征和呼吸机参数。能够耐受这种通气的患者接受 T 管自主呼吸试验(SBT)30 分钟。通过 SBT 并随后进行套囊漏试验的患者被拔管。本研究的主要结局是 48 小时时的拔管成功。与拔管结果有统计学显著关联的参数使用受试者工作特征(ROC)分析进一步研究,以评估其预测价值。曲线下面积(AUC)值用于选择纳入 ExPreS 的参数。单变量逻辑回归分析和 ROC 分析用于评估 ExPreS 的性能。前瞻性验证队列的患者纳入和统计分析遵循与推导队列相同的标准,拔管决策基于 ExPreS 结果。在推导队列中,共有 110 例患者拔管:101 例(91.8%)患者拔管成功,9 例(8.2%)患者拔管失败。SBT 中的快速浅呼吸指数(RSBI)、动态肺顺应性、IMV 持续时间、肌肉力量、估计的 GCS、红细胞压积和血清肌酐与拔管结果显著相关。这些参数与另一个参数-神经系统合并症的存在-被用于创建 ExPreS。ExPreS 的 AUC 值为 0.875,高于单个参数的 AUC 值。总 ExPreS 可在 0 到 100 之间。ExPreS≥59 分表示成功概率高(OR=23.07),而 ExPreS≤44 分表示成功概率低(OR=0.82)。在前瞻性验证队列中,有 83 例患者拔管:81 例(97.6%)患者拔管成功,2 例(2.4%)患者拔管失败。该队列中 ExPreS 的 AUC 值为 0.971。我们提出的多参数评分 ExPreS 能够很好地预测 ICU 接受 IMV 治疗的患者的拔管结果。在前瞻性验证中,即使在患者病情更严重的队列中,使用 ExPreS 也将拔管失败率从 8.2%降低至 2.4%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/91bb/7971695/d1214b0be52a/pone.0248868.g001.jpg

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