医学
肺炎
社区获得性肺炎
重症监护室
混淆
回顾性队列研究
内科学
队列研究
队列
重症监护医学
作者
Luisa Fernanda Riaño-Sánchez,Carlos Álvarez,Marcela Godoy,Claudia Rocío Sierra,Mario Saul Lira Castañeda,Jorge Alberto Cortés
出处
期刊:Antibiotics
[Multidisciplinary Digital Publishing Institute]
日期:2025-02-28
卷期号:14 (3): 245-245
标识
DOI:10.3390/antibiotics14030245
摘要
In critically ill patients, identification of the pathogen may allow for the timely adjustment of antibiotics and improved outcomes. Background/Objectives: The aim of the study was to assess whether performing a multiplex PCR pneumonia panel (PN-panel) in patients with pneumonia in the intensive care unit (ICU) had any effect on mortality or other important clinical outcomes. Methods: A retrospective cohort study was conducted on adult patients with pneumonia who required ICU admission in four institutions in Bogotá between November 2019 and June 2023. Mortality at 30 days, the length of the hospital and ICU stay, the duration of antibiotics, and their association with the PN-panel performance were evaluated using an inverse probability of the treatment weighting to adjust for covariates and potential confounders. Results: A total of 304 patients were included, including 150 with PN-panel, with a mean age of 65.0 years (SD 14.6). SARS-CoV-2 was the primary etiologic agent in 186 (61.2%) patients, and 256 (84.2%) patients had community-acquired pneumonia. No association was found between 30-day mortality and the PN-panel, with a HR of 1.14 (CI 95% 0.76–1.70), although the assessment by an infectious disease specialist was associated with a lower mortality HR of 0.29 (CI 95% 0.19–0.45). There was no association between the PN-panel and antimicrobial therapy duration or other clinical outcomes. Conclusions: The use of the PN-panel was not associated with changes in mortality, the duration of antibiotics, or hospital and ICU stays. To acquire greater rational decision-making, microbiological data produced by this test should be interpreted with aid of an antimicrobial stewardship program oriented by an infectious disease team that could take the clinical data and integrate the information provided.
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