Exhaled air profile in the early diagnosis of ventilator-associated pneumonia.

Critical care science Pub Date : 2024-10-14 eCollection Date: 2024-01-01 DOI:10.62675/2965-2774.20240194-en
Rodrigo Cruvinel Figueiredo, Jackelyne Lopes Silva, Igor Bianchini, Luana Bezerra Gonçalves Rocha, Renata Casagrande Goncalves, Cristiane Ritter, Felipe Dal-Pizzol
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引用次数: 0

Abstract

Objective: To predict exhaled air in patients undergoing mechanical ventilation during bedside diagnosis of ventilator-associated pneumonia.

Methods: Air samples were collected through the expiratory branch of the mechanical ventilation circuit during the hospitalization of patients at the intensive care unit of Hospital São José in Criciúma (SC), Brazil. In this study, 83 participants were divided into two groups, namely, the group with and the group without ventilator-associated pneumonia.

Results: The analysis of three air patterns revealed a predictive value for the diagnosis of ventilator-associated pneumonia. The analyses of samples from the first 12 hours of invasive mechanical ventilation were able to predict ventilator-associated pneumonia (p = 0.018). However, none of the other air samples collected during hospitalization were useful in identifying the severity or predicting early or late ventilator-associated pneumonia.

Conclusion: The use of a gas analyzer may be helpful for the early identification of patients admitted to intensive care who will develop ventilator-associated pneumonia.

呼吸机相关肺炎早期诊断中的呼出气体分布图。
目的在床旁诊断呼吸机相关肺炎时预测接受机械通气患者的呼出气体:在巴西克里丘马(Criciúma,SC)圣若泽医院重症监护室的患者住院期间,通过机械通气回路的呼气支路采集空气样本。这项研究将 83 名参与者分为两组,即患呼吸机相关性肺炎组和未患呼吸机相关性肺炎组:结果:对三种空气模式的分析显示了对呼吸机相关肺炎诊断的预测价值。对有创机械通气最初 12 小时内的样本进行分析,能够预测呼吸机相关性肺炎(p = 0.018)。然而,在住院期间采集的其他空气样本均无法确定呼吸机相关肺炎的严重程度或预测早期或晚期呼吸机相关肺炎:结论:使用气体分析仪可能有助于早期识别入住重症监护室的患者是否会患上呼吸机相关性肺炎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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