摘要
目的探讨经导管支气管动脉栓塞(BAE)治疗肺结核大咯血术后短期复发的危险因素。方法回顾性研究237例肺结核伴大咯血行BAE术后6个月内复发患者的临床资料。先经单因素分析,筛选出差异有统计学意义的危险因素,再经多元Logistic回归分析,推测可能导致咯血复发的危险因素。结果 237例大咯血患者中24例BAE术后短期复发;复发率为10.1%(24/237)。Logistic多元回归分析发现共有6个危险因素进入回归模型,按其作用强弱依次为:术后病灶进展、供血动脉数量、合并支气管扩张、伴有空洞、动-静脉分流、病灶肺叶分布,OR值分别为4.429、2.592、2.324、1.933、1.596、1.056。结论术后病灶进展、供血动脉数量较多、合并支气管扩张、伴有空洞、存在动-静脉分流、病灶分布广泛是术后复发的独立危险因素。
Objective To explore the risk factors on short term recurrence after Bronchial Artery Embolization (BAE) in hemoptysis of pulmonary tuberculosis. Methods Clinical data of 237 cases with pulmonary tuberculosis with massive hemoptysis were retrospectively analyzed. The univariate analysis was performed firstly, and the risk factors with significant statistical difference were screened, and then a multivariate Logistic regression analysis was used to determine the independ- ent risk factors for recurrent massive hemoptysis. Single and multiple factor non conditional Logistic regression analysis was used to analyze the data. Results There were 24 recurrent cases in total 237 cases during three months period. Among them, the incidence of recurrent hemoptysis was 10.1% (24/237), multiple Logistic regression analysis revealed total 6 clinical variabilities. According to the strength, the disease progression after surgery, the number of feeding arteries, associated with bronchiectasis, associated with cavitary lesions, arteriovenous shunt and lesion distribution were closely correlated with recurrence,and the OR values were 4. 429,2.592,2. 324,1. 933,1. 596 and 1. 056, respectively. Conclusion The disease progression after surgery, abundance of feeding arteries, associated with bronchiectasis, associated with cavitary lesions, arteriovenous shunt, wide lesion distribution are important independent risk factors for recurrent massive hemoptysis in patients of pulmonary tuberculosis.
出处
《临床放射学杂志》
CSCD
北大核心
2012年第9期1316-1319,共4页
Journal of Clinical Radiology
关键词
肺结核
大咯血
支气管动脉栓塞
复发
危险因素
多元分析
Pulmonary tuberculosis
Massive hemoptysis
Embolization therapeutic
Recurrence
Risk factors
Multivariate analysis