在CT检测结果上开发一个简单的评分系统,用于预测Mycobacterium avium复杂肺部疾病的治疗失败:BCD (支气管和腔腔分布) 评分
Makoto Hayashi1,2, Hiroyasu Takishima1, Hidekazu Cho2
1Department of Respiratory Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama-shi, Kanagawa-ken, Japan.
Open forum infectious diseases
|September 29, 2025
概括
使用CT扫描的新评分系统可以预测Mycobacterium avium复杂肺部疾病的治疗失败. 这有助于指导MAC-PD患者的治疗决策.
科学领域:
- 肺部医学 肺部医学
- 放射学 放射学是一门学科.
- 传染性疾病 传染性疾病
背景情况:
- 在Mycobacterium avium复杂肺病 (MAC-PD) 开始治疗的最佳时间尚未确定.
- 在MAC-PD中预测治疗反应是具有挑战性的,因为缺乏确定的指导方针.
研究的目的:
- 开发一个预测模型来预测MAC-PD患者治疗失败的情况.
- 识别计算机断层扫描 (CT) 发现,可以预测治疗结果.
主要方法:
- 一项回顾性观察性研究包括135名患有MAC-PD的患者,这些患者接受了宏化物和乙胺醇治疗方案.
- 治疗前的CT扫描被分析为腔腔和支气管切除,按直径和严重程度分类.
- 一个预测模型 - - 支气管和腔分布得分 (Bronchiectasis and Cavity Distribution score) 被开发并使用k倍交叉验证进行验证.
主要成果:
- 31.9%的患者经历了治疗失败,定义为1年后没有培养转换.
- 支气管和腔腔分布得分,基于腔腔 (>2厘米) 的叶片参与或支气管 (静脉/囊) 的支气管,平均AUC为0.798.8.
- 患者被分为低风险 (0-1分),中等风险 (2-3分) 和高风险 (4-6分) 组,失败率分别为8.0%,35.6%和69.2%.
结论:
- 支气管切除和腔分布得分有效地预测使用简单的CT评估在MAC-PD中治疗失败.
- 这一分数可能有助于指导MAC-PD的治疗策略,等待进一步的验证研究.
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