Impact of Ventilator-Associated Events on Clinical Outcomes in Mechanically Ventilated Patients: A Retrospective Cohort Study from a Brazilian ICU.

IF 2.4 3区 医学 Q2 INFECTIOUS DISEASES
Milena Siciliano Nascimento, Amanda Gomes Rabelo, Cesar Augusto Madid Truyts, Adriano José Pereira, Raquel Afonso Caserta, Simone Brandi, Alexandra do Rosário Toniolo, Graziela Geanfrancisco, Paula Tuma
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引用次数: 0

Abstract

Background: Mechanical ventilation is a widely used intervention for critically ill patients in intensive care units. However, it is associated with various complications. The most up-to-date method for monitoring ventilation-related complications is through Ventilator-Associated Events.

Objective: To evaluate the incidence of Ventilator-Associated Events and their impact on major clinical outcomes in patients admitted to the intensive care units.

Methods: This was a single-center retrospective cohort study which all the adult patients who underwent invasive mechanical ventilation were included. The Ventilator-Associated Events identification was performed using an automated algorithm based on criteria established by the Centers for Disease Control and Prevention. Clinical, demographic, and outcome data were extracted from electronic medical records.

Results: A total of 709 patients were analyzed, of whom 39(5.6%) developed Ventilator-Associated Events, resulting in a rate of 5.99 per 1,000 ventilator-days. Patients with Ventilator-Associated Events had significantly longer durations of mechanical ventilation (19.7±27.4 vs. 4.7±7.9 days; p=0.002), intensive care units stay (25.1±24.7 vs. 8.7±11.1 days; p<0.001), and hospital stay (72.7±73.5 vs. 46±98 days;p<0.001).

Conclusion: The occurrence of Ventilator-Associated Events was associated with significantly worse clinical outcomes. The adoption of algorithm-based automated surveillance may enhance early Ventilator-Associated Events detection, representing the first step toward implementing targeted prevention strategies.

呼吸机相关事件对机械通气患者临床结果的影响:来自巴西ICU的回顾性队列研究。
背景:机械通气是重症监护病房重症患者广泛使用的干预手段。然而,它与各种并发症有关。最新的监测通气相关并发症的方法是通过呼吸机相关事件。目的:评价重症监护病房患者呼吸机相关事件的发生率及其对主要临床结局的影响。方法:本研究为单中心回顾性队列研究,纳入所有接受有创机械通气的成年患者。使用基于疾病控制和预防中心制定的标准的自动算法进行呼吸机相关事件识别。从电子病历中提取临床、人口统计学和结局数据。结果:共分析709例患者,其中39例(5.6%)发生呼吸机相关事件,发生率为5.99 / 1000呼吸机日。发生呼吸机相关事件的患者机械通气持续时间(19.7±27.4天比4.7±7.9天;p=0.002)和重症监护病房住院时间(25.1±24.7天比8.7±11.1天)显著延长。结论:呼吸机相关事件的发生与临床预后显著差相关。采用基于算法的自动监测可加强呼吸机相关事件的早期检测,这是实施有针对性预防策略的第一步。
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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来源期刊
CiteScore
7.40
自引率
4.10%
发文量
479
审稿时长
24 days
期刊介绍: AJIC covers key topics and issues in infection control and epidemiology. Infection control professionals, including physicians, nurses, and epidemiologists, rely on AJIC for peer-reviewed articles covering clinical topics as well as original research. As the official publication of the Association for Professionals in Infection Control and Epidemiology (APIC)
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