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重症监护患者通气中断的多参数评分:一项观察性研究方案

MUltiparametric Score for Ventilation Discontinuation in Intensive Care Patients: A Protocol for an Observational Study.

作者信息

Cappellini Iacopo, Cardoni Andrea, Campagnola Lorenzo, Consales Guglielmo

机构信息

Department of Critical Care, Section of Anesthesiology and Critical Care, Azienda USL Toscana Centro, Ospedale Santo Stefano, 59100 Prato, Italy.

Department of Anesthesia and Critical Care, Azienda Ospedaliero Universitaria Careggi, 50134 Florence, Italy.

出版信息

Methods Protoc. 2024 May 20;7(3):45. doi: 10.3390/mps7030045.

DOI:10.3390/mps7030045
PMID:38804339
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11130949/
Abstract

BACKGROUND

Mechanical ventilation significantly improves patient survival but is associated with complications, increasing healthcare costs and morbidity. Identifying optimal weaning times is paramount to minimize these risks, yet current methods rely heavily on clinical judgment, lacking specificity.

METHODS

This study introduces a novel multiparametric predictive score, the MUSVIP (MUltiparametric Score for Ventilation discontinuation in Intensive care Patients), aimed at accurately predicting successful extubation. Conducted at Santo Stefano Hospital's ICU, this single-center, observational, prospective cohort study will span over 12 months, enrolling adult patients undergoing invasive mechanical ventilation. The MUSVIP integrates variables measured before and during a spontaneous breathing trial (SBT) to formulate a predictive score.

RESULTS

Preliminary analyses suggest an Area Under the Curve (AUC) of 0.815 for the MUSVIP, indicating high predictive capacity. By systematically applying this score, we anticipate identifying patients likely to succeed in weaning earlier, potentially reducing ICU length of stay and associated healthcare costs.

CONCLUSION

This study's findings could significantly influence clinical practices, offering a robust, easy-to-use tool for optimizing weaning processes in ICUs.

摘要

背景

机械通气显著提高了患者的生存率,但会引发并发症,增加医疗成本和发病率。确定最佳撤机时间对于将这些风险降至最低至关重要,然而目前的方法严重依赖临床判断,缺乏特异性。

方法

本研究引入了一种新型多参数预测评分系统,即MUSVIP(重症监护患者通气中断多参数评分),旨在准确预测成功拔管情况。这项单中心、观察性、前瞻性队列研究在圣斯特凡诺医院重症监护室进行,为期12个月,纳入接受有创机械通气的成年患者。MUSVIP整合了自主呼吸试验(SBT)前及试验期间测得的变量,以制定预测评分。

结果

初步分析表明,MUSVIP的曲线下面积(AUC)为0.815,显示出较高的预测能力。通过系统应用该评分,我们预计能够更早地识别出可能成功撤机的患者,从而有可能缩短重症监护室住院时间及相关医疗成本。

结论

本研究结果可能会对临床实践产生重大影响,为优化重症监护室的撤机流程提供一个强大且易于使用的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/930f/11130949/344ed543c743/mps-07-00045-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/930f/11130949/344ed543c743/mps-07-00045-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/930f/11130949/344ed543c743/mps-07-00045-g001.jpg

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Combined cardiac, lung, and diaphragm ultrasound for predicting weaning failure during spontaneous breathing trial.心脏、肺部和膈肌联合超声检查用于预测自主呼吸试验期间的撤机失败
Ann Intensive Care. 2024 Apr 20;14(1):60. doi: 10.1186/s13613-024-01294-2.
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The weaning from mechanical ventilation: a comprehensive ultrasound approach.
机械通气撤离:全面的超声方法。
Curr Opin Crit Care. 2022 Jun 1;28(3):322-330. doi: 10.1097/MCC.0000000000000941.
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Ventilator Weaning and Discontinuation Practices for Critically Ill Patients.机械通气患者的撤机和拔管实践。
JAMA. 2021 Mar 23;325(12):1173-1184. doi: 10.1001/jama.2021.2384.
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Weaning the patient: between protocols and physiology.患者脱机:在方案和生理之间。
Curr Opin Crit Care. 2021 Feb 1;27(1):29-36. doi: 10.1097/MCC.0000000000000790.
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Association of weaning failure from mechanical ventilation with transthoracic echocardiography parameters: a systematic review and meta-analysis.从机械通气中撤机失败与经胸超声心动图参数的关系:系统评价和荟萃分析。
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