Chest imaging classification in Mycoplasma pneumoniae pneumonia is associated with its clinical features and outcomes

医学 肺不张 肺炎支原体 肺炎 毛细支气管炎 支原体肺炎 内科学 胸腔积液 儿科 重症监护医学 呼吸系统
作者
Xia Huang,Haiyan Gu,Ruxi Wu,Lei Chen,Tian Lv,Xinyi Jiang,Huili Li,Bin Guo,Jie Liu,Dan Li,Deyu Zhao,Feng Liu
出处
期刊:Respiratory Medicine [Elsevier]
卷期号:221: 107480-107480 被引量:1
标识
DOI:10.1016/j.rmed.2023.107480
摘要

BackgroundThe imaging findings of Mycoplasma pneumoniae pneumonia (MPP) vary; however, few studies have focused on the relationship of imaging classification with clinical manifestations and outcomes.ObjectiveTo prospectively investigate whether chest imaging classification in Mycoplasma pneumoniae pneumonia (MPP) is associated with its clinical features and outcomes.MethodsA total of 1,401 hospitalized children with MPP were enrolled from January 2019 to December 2021. Imaging findings were categorized as bronchopneumonia and consolidation/atelectasis according to X-ray, and bronchopneumonia, consolidation/atelectasis, bronchiolitis, and mosaic pattern according to computed tomography (CT). Clinical characteristics and outcomes of patients with different imaging classifications were prospectively analyzed based on electronic medical records.ResultsBronchopneumonia was the most common finding (59.6%), while consolidation/atelectasis was the most severe group. Clinical manifestations and laboratory indicators for the consolidation/atelectasis group included serious abnormalities. Further, outcomes of the patients were worse, including having longer total durations of fever and hospitalization, greater hospitalization expenses, and a higher likelihood of developing refractory MPP, necrotizing pneumonia, and bronchiolitis obliterans (BO) in this group. The incidence of bronchiolitis, a disease characterized by a high prevalence of fever, moist rales, and an atopic constitution, tended to increase after the coronavirus disease pandemic and predisposed patients to BO. A mosaic pattern occurred in allergic and young individuals, with wheezing as the main manifestation, with patients having relatively mild symptoms and good outcomes.ConclusionDifferent imaging classifications have different clinical features and clinical outcomes; thus, formulating an imaging-based classification system is of great clinical value.
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