摘要
目的研究临床生理指标与特发性肺纤维化(IPF)严重度和预后的相关性,并分析CAD系统的定量分析法对IPF预后的指导价值。方法回顾性收集医院收治的IPF患者126例,根据随访过程中是否死亡分为生存组与非生存组。分析各自的基线临床特征及CAD系统测量参数,比较两组疾病进展情况,并用Cox回归法分析临床特征及CAD系统测量参数与全因死亡的相关性。结果生存组肺功能相关指标FVC、DLCO和TLC高于非生存组,且差异有统计学意义(P<0.05);生存组CAD系统测量参数网格状病变容积、蜂窝病变容积及总体ILD病变容积均低于非生存组,差异有统计学意义(P<0.05)。多元Cox回归模型结果显示,FVC、TLC、DLCO、网格状病变容积、蜂窝病变容积、总体ILD病变容积和6月内病情加重可增加死亡风险。结论基线值的肺功能参数可作为预后的重要临床预测指标,CAD系统定量分析是一种准确、灵敏、客观、可重复评价IPF疾病程度的技术。
Objective To investigate the correlation between clinical physiological with the severity as well as the prognosis of idiopathic pulmonary fibrosis, and to analyze the value of quantitative analysis of CAD system for the prognosis of IPF. Methods 126 IPF patients were divided into survival group and non-survival group retrospectively according to their outcome during the follow-up. Data of clinical features and quantitative analysis parameters of imaging measured by CAD system were recorded and analyzed simultaneously. Disease progress was compared between the two groups and Cox regression models were used to identify the association between clinical features, quantitative analysis parameters of CAD system and all-cause mortality. Results Indicators of lung function including FVC, DLCO and TLC significantly increased in survival group compared with non-survival group(P<0.05). Imaging changes analyzed with CAD system in the patients with IPF showed that volume ratio of reticulation honeycombing and total ILD lesions were significantly higher than the patients in survival group(P<0.05). The multivariate Cox regression model showed that FVC,TLC,DLCO,volume ratio of reticulation, volume ratio of HC, volume ratio of total ILD lesion and deterioration within 6 months could elevate mortality risk of the patients with IPF. Conclusion Baseline pulmonary function parameters can predict mortality risk. The quantitative analysis of CAD system is an accurate, sensitive, objective and repeatable evaluation for the degree of IPF disease.
作者
郭璐
钟振东
蒋才玉
杨阳
杨雁
张静
蒲红
李为民
Guo Lu;Zhong Zhendong;Jiang Caiyu(Dept of Pulmonary and Critical Care Medicine,Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital,The Affiliated Hospital of University of Electronic Science and Technology of China,Chengdu 610072;Institute for Laboratory Animal,Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital,The Affiliated Hospital of University of Electronic Science and Technology of China,Chengdu 610072)
出处
《安徽医科大学学报》
CAS
北大核心
2021年第1期161-165,共5页
Acta Universitatis Medicinalis Anhui
基金
四川省卫生和计划生育委员会项目基金(编号:17PJ029)。
