Prediction of weaning outcomes from mechanical ventilation in critically ill patients based on the combination of ultrasound parameters of the heart, lung, and diaphragm: a prospective observational cohort study.

IF 2.3 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Quantitative Imaging in Medicine and Surgery Pub Date : 2025-09-01 Epub Date: 2025-08-18 DOI:10.21037/qims-2025-167
Qian Zhou, Ying Xu, Jun Chen, Qin Gu, Wentao Kong
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Abstract

Background: Postextubation distress in critically ill patients with successful spontaneous breathing trials (SBTs) is unfavorable for prognosis. This study aimed to determine whether the combined application of multimodal ultrasound parameters of the heart, lung, and diaphragm can predict the mechanical ventilation weaning outcome among critically ill patients.

Methods: From December 2022 to December 2023, a total of 74 patients (aged over 18 years old) mechanically ventilated for more than 48 hours and prepared for an SBT were selected from the Department of Critical Care Unit, Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School. Patients who met the criteria for weaning were prepared to undergo a 30-minute SBT, during which the heart, lungs, and diaphragm of the patients were examined via ultrasound. According to the weaning outcomes, patients were divided into a success group and a failure group. Ultrasound parameters with statistical significance in univariate analysis were incorporated into a binary logistic regression model to identify the independent influencing factors of weaning outcomes. The receiver operating characteristic (ROC) curve was plotted, and the area under the curve (AUC) was calculated for statistical analysis.

Results: Out of the 74 included patients, 23 failed weaning. There were significant differences in diaphragm excursion (DE), diaphragm thickening fraction (DTF), bilateral lung ultrasound score (LUS), total LUS, and left ventricular ejection fraction (LVEF) between the success and failure groups (P<0.05). The predictive performance of individual ultrasound parameters was as follows: LVEF achieved an AUC of 0.742 [95% confidence interval (CI): 0.642-0.842; P<0.001], with optimal thresholds of 58.05% (sensitivity: 76.5%; specificity: 69.6%); LUS achieved an AUC of 0.837 (95% CI: 0.738-0.936; P<0.001), with an 80.4% sensitivity and 82.6% specificity at a cutoff value of 17.50. DE yielded an AUC of 0.895 (95% CI: 0.821-0.969; P<0.001), with an 82.4% sensitivity and a 95.7% specificity at a cutoff value of 1.205 cm; DTF reached an AUC of 0.896 (95% CI: 0.827-0.965; P<0.001), with a 68.6% sensitivity and a 100% specificity at a cutoff value of 22.75%. A composite model integrating LVEF, LUS, DE, and DTF achieved an AUC of 0.951 (95% CI: 0.907-0.996; P<0.001), with an 88.2% sensitivity and a 95.7% specificity.

Conclusions: Ultrasound parameters of the heart, lungs, and diaphragm provide critical information on cardiopulmonary and diaphragmatic function during SBT. Weaning failure is more common when LUS is increased and LVEF, DE, and DTF are decreased. The combination of these three aspects can improve the accuracy of predicting weaning outcomes.

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基于心、肺、膈超声参数组合预测危重患者机械通气脱机结果:一项前瞻性观察队列研究
背景:成功进行自主呼吸试验(sbt)的危重患者拔管后窘迫不利于预后。本研究旨在探讨心、肺、膈多模态超声参数的联合应用能否预测危重患者机械通气脱机结局。方法:选择南京大学医学院附属鼓楼医院重症监护部于2022年12月至2023年12月机械通气48小时以上并准备SBT的患者74例(年龄18岁以上)。符合断奶标准的患者准备进行30分钟的SBT,在此期间,通过超声检查患者的心脏,肺和隔膜。根据脱机结果将患者分为成功组和失败组。将单因素分析中具有统计学意义的超声参数纳入二元logistic回归模型,以确定断奶结局的独立影响因素。绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC)进行统计分析。结果:74例患者中,23例脱机失败。成功组和失败组在膈肌偏移(DE)、膈肌增厚分数(DTF)、双侧肺超声评分(LUS)、总LUS和左心室射血分数(LVEF)方面存在显著差异(p)。结论:心脏、肺和膈的超声参数提供了SBT期间心肺和膈功能的重要信息。当LUS增加,LVEF、DE和DTF降低时,断奶失败更为常见。这三方面的结合可以提高断奶结局预测的准确性。
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来源期刊
Quantitative Imaging in Medicine and Surgery
Quantitative Imaging in Medicine and Surgery Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.20
自引率
17.90%
发文量
252
期刊介绍: Information not localized
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