Clinical characteristics and risk factors associated with severe community-acquired pneumonia infected by Chlamydia psittaci.

IF 3.8 2区 生物学 Q2 MICROBIOLOGY
Tingting Xu, Qi Yuan, Jiayue Wang, Zhenzhen Wu, Zhongqi Chen, Zhengxia Wang, Wenkui Sun, Mingshun Zhang, Ningfei Ji, Mao Huang
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引用次数: 0

Abstract

The study aimed to describe the clinical features of psittacosis pneumonia and identify risk factors associated with severe psittacosis pneumonia. We retrospectively collected data from patients with psittacosis pneumonia, confirmed by metagenomic next-generation sequencing (mNGS) from January 2022 to June 2024 and analyzed differences between severe and non-severe groups. A total of 24 patients (eight severe/16 non-severe) were diagnosed with psittacosis, and 33.3% had severe psittacosis pneumonia. The levels of white blood cells (WBCs), neutrophils, neutrophil-to-lymphocyte ratio (NLR), hypersensitive C-reactive protein (hs-CRP), and procalcitonin (PCT) and the detection rate of fungi by mNGS were significantly higher in the severe group than in the non-severe group. The length of stay and omadacycline use were longer in patients of the severe group when compared to the non-severe group. Receiver operating characteristic (ROC) curves indicated that NLR had a better predictive value of severe conditions than PCT and hs-CRP. Patients with psittacosis pneumonia have a high rate of severe disease, and NLR may be a useful tool to promptly ascertain the severity of the disease and optimal therapies for better outcomes.

Importance: This study explores the clinical features of psittacosis pneumonia and identifies key factors that may predict the severity of the disease. By analyzing data from 24 patients diagnosed using metagenomic next-generation sequencing (mNGS), the research uncovers important differences between severe and non-severe cases. The study finds that patients with severe psittacosis pneumonia have elevated levels of white blood cells (WBCs), neutrophils, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein (hs-CRP), and procalcitonin (PCT), as well as a higher detection rate of fungi. Notably, the NLR emerges as a strong predictor of severe disease, suggesting its potential as an early diagnostic tool. These findings provide valuable insights that can help healthcare providers identify high-risk patients more quickly, allowing for timely interventions and improved management of the disease. Ultimately, this research could lead to better outcomes by guiding treatment decisions and enhancing our understanding of psittacosis pneumonia.

鹦鹉热衣原体感染重症社区获得性肺炎的临床特征及相关危险因素
本研究旨在描述鹦鹉热肺炎的临床特征,并确定与严重鹦鹉热肺炎相关的危险因素。我们回顾性收集了2022年1月至2024年6月期间通过新一代宏基因组测序(mNGS)确诊的鹦鹉热肺炎患者的数据,并分析了严重组和非严重组之间的差异。24例(重度8例/非重度16例)诊断为鹦鹉热,其中33.3%为重度鹦鹉热肺炎。重症组患者白细胞(wbc)、中性粒细胞、中性粒细胞与淋巴细胞比值(NLR)、超敏c反应蛋白(hs-CRP)、降钙素原(PCT)水平及真菌的mNGS检出率均显著高于非重症组。与非严重组相比,重症组患者的住院时间和奥马达环素使用时间更长。受试者工作特征(ROC)曲线显示NLR对重症的预测价值优于PCT和hs-CRP。鹦鹉热肺炎患者的严重疾病发生率很高,NLR可能是一种有用的工具,可以及时确定疾病的严重程度和最佳治疗方法,以获得更好的结果。重要性:本研究探讨了鹦鹉热肺炎的临床特征,并确定了可能预测疾病严重程度的关键因素。通过分析24名使用新一代宏基因组测序(mNGS)诊断的患者的数据,该研究揭示了严重病例和非严重病例之间的重要差异。研究发现,严重鹦鹉热肺炎患者白细胞(wbc)、中性粒细胞、中性粒细胞与淋巴细胞比值(NLR)、c反应蛋白(hs-CRP)、降钙素原(PCT)水平升高,真菌检出率较高。值得注意的是,NLR作为严重疾病的强有力的预测指标,表明其作为早期诊断工具的潜力。这些发现提供了有价值的见解,可以帮助医疗保健提供者更快地识别高风险患者,允许及时干预和改善疾病管理。最终,这项研究可以通过指导治疗决策和增强我们对鹦鹉热肺炎的理解来获得更好的结果。
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
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
期刊介绍: Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.
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