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肺 MAC 病影像学恶化的预测因素。

Predictors of radiological aggravations of pulmonary MAC disease.

机构信息

Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan.

出版信息

PLoS One. 2020 Aug 6;15(8):e0237071. doi: 10.1371/journal.pone.0237071. eCollection 2020.

Abstract

BACKGROUND AND OBJECTIVES

The number of patients with pulmonary Mycobacterium avium complex (MAC) disease is increasing worldwide, especially among middle-aged women and never-smokers. However, little is known about the factors causing exacerbations of pulmonary MAC disease in untreated patients. The aim of the present study was to identify the predictors of radiological aggravations of pulmonary MAC disease.

METHODS

From April 2011 to December 2018, 238 MAC patients at our institute were newly diagnosed with pulmonary MAC disease according to the 2007 American Thoracic Society/Infectious Disease Society guideline. Their medical records were examined retrospectively for their clinical findings. The radiological findings at the time of the diagnosis and 1 year later were evaluated. To identify the predictors of radiological aggravation, multivariable analysis was performed with the data of 167 treatment-naïve patients.

RESULTS

Female, never-smoker, and nodular/bronchiectatic (NB) type were predominant in patients with pulmonary MAC disease. Univariate analysis of data from treatment-naïve subjects showed that no lung diseases other than MAC, extensive radiological findings, and a positive acid-fast bacilli (AFB) smear were significantly associated with radiological aggravations. On multivariate analysis, the radiological factor (larger affected area) and absence of other lung disease were significantly associated with radiological aggravations. In particular, the presence of abnormal shadows in more than 3 lobes was significantly associated with radiological aggravations.

CONCLUSIONS

In this study, the presence of extensive radiological findings and the absence of lung diseases other than MAC were predictors of radiological aggravations of treatment-naïve pulmonary MAC disease. In particular, the presence of abnormal shadows in more than 3 lobes was significantly associated with radiological aggravations.

摘要

背景与目的

全球范围内患肺鸟分枝杆菌复合群(MAC)病的患者数量正在增加,尤其是在中年女性和从不吸烟者中。然而,对于未治疗患者中导致 MAC 肺病恶化的因素知之甚少。本研究旨在确定 MAC 肺病恶化的预测因素。

方法

2011 年 4 月至 2018 年 12 月,我院根据 2007 年美国胸科学会/传染病学会指南新诊断出 238 例 MAC 肺病患者。回顾性检查了他们的临床资料。评估了诊断时和 1 年后的影像学表现。为了确定影像学恶化的预测因素,对 167 例未经治疗的患者数据进行了多变量分析。

结果

女性、从不吸烟者和结节/支气管扩张(NB)型是 MAC 肺病患者的主要类型。对未经治疗患者的数据进行单变量分析表明,除 MAC 外无其他肺部疾病、广泛的影像学表现和抗酸杆菌(AFB)涂片阳性与影像学恶化显著相关。多变量分析显示,影像学因素(更大的受累面积)和无其他肺部疾病与影像学恶化显著相关。特别是,3 个以上肺叶存在异常阴影与影像学恶化显著相关。

结论

在这项研究中,广泛的影像学表现和除 MAC 以外的肺部疾病的缺失是未经治疗的肺 MAC 病影像学恶化的预测因素。特别是,3 个以上肺叶存在异常阴影与影像学恶化显著相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/462a/7410298/9923d3436fb9/pone.0237071.g002.jpg

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