Clinical features and prognostic predictors of C. Psittaci Pneumonia: a systematic review and individual patient meta-analysis

鹦鹉热衣原体肺炎的临床特征和预后预测因素:系统评价和个体患者荟萃分析

阅读:1

Abstract

BACKGROUND: The clinical presentations and prognostic indicators of C. psittaci pneumonia are inadequately investigated currently. The objective of the study was to assess the clinical presentation of C. psittaci pneumonia and the risk factors for severe pneumonia, within a systematic review and individual patient meta-analysis. METHODS: We searched PubMed, CNKI, and Wanfang databases for case reports/series of proven/probable psittacosis published between 1st January 2000 and 28th February 2023, including all hospitalized individuals aged ≥ 18 years. Patient demographics, manifestations, diagnostic methods, and outcomes were summarized descriptively. Patients were divided into severe or non-severe pneumonia groups mainly according to the ATS/IDSA 2007 criteria. Prognostic predictors for severe C. psittaci pneumonia were identified using multivariate logistic regression. RESULTS: 3062 articles of 196 (566 individual patient cases) were included in the final analysis. Patients with chronic cardiovascular disease face a significantly elevated risk of developing severe C. psittaci pneumonia (adjusted odds ratio (aOR) 2.63; 95% confidence interval (CI) 1.05-6.59; P = 0.039). Symptoms including dyspnea (aOR 4.88; 95% CI 3.19-7.46; P < 0.001), neuropsychiatric symptoms (aOR 3.58; 95% CI 2.05-6.28; P < 0.001), gastrointestinal symptoms (aOR 1.76; 95% CI 1.10-2.80; P = 0.018), or the presence of multilobar infiltrates on imaging (aOR 3.27; 95% CI 2.11-5.06; P < 0.001) upon admission frequently serve as indicators of severe pneumonia. CONCLUSIONS: Chronic cardiovascular disease increases susceptibility to severe C. psittaci pneumonia. The presence of dyspnea, neuropsychiatric symptoms, gastrointestinal symptoms, and multilobar infiltrates upon admission merits clinicians' attention, advocating for timely sample submission for metagenomic next-generation sequencing (mNGS) to ascertain the etiology.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。