医学
呼出气一氧化氮
内科学
队列
接收机工作特性
肺功能测试
呼吸系统
呼吸道疾病
心脏病学
前瞻性队列研究
并发症
一氧化氮
扩散能力
肺
肺功能
作者
K.P. Tiev,T. Hua-Huy,A. Kettaneh,Yannick Allanore,Nhat‐Nam Le‐Dong,Sy Duong‐Quy,J. Cabané,Anh Tuan Dinh‐Xuan
出处
期刊:Thorax
[BMJ]
日期:2011-10-24
卷期号:67 (2): 157-163
被引量:48
标识
DOI:10.1136/thoraxjnl-2011-200499
摘要
Background
Respiratory failure is a life-threatening and unpredictable complication of systemic sclerosis (SSc). A study was undertaken to assess the value of alveolar nitric oxide (NO) in predicting the risk of lung function deterioration leading to respiratory failure or death in patients with SSc. Methods
105 patients with SSc were enrolled in this prospective cohort and were followed longitudinally over a 3-year period during which the risk of occurrence of deleterious events was analysed according to alveolar concentration (CAno), conducting airway output (J′awno) and fractional concentration (FEno0.05) of exhaled NO measured at inclusion. Comparison was made between each NO parameter to predict the occurrence of deleterious events, defined as a 10% decrease in total lung capacity or forced vital capacity from baseline, or death. Results
The area under the receiver operating characteristic curve of CAno to predict the occurrence of the combined events was 0.84 (95% CI 0.76 to 0.92; p<0.001), which was significantly higher than those of J′awno and FEno0.05 (p<0.001). A cut-off of CAno of 5.3 ppb had a sensitivity of 88% and a specificity of 62% for the prediction of the occurrence of combined events during follow-up, and was validated in an independent cohort of patients with SSc. Combined events occurred more frequently in patients whose CAno was >5.3 ppb. The adjusted HR for patients with CAno >5.3 ppb was 6.06 (95% CI 2.36 to 15.53; p<0.001). CAno accurately predicted the occurrence of combined events irrespective of forced vital capacity values or the presence of interstitial lung disease at baseline. Conclusions
Increased CAno accurately identifies patients with SSc with a high risk of developing lung function deterioration and may help to initiate early appropriate treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI