Suppr超能文献

单口气同时测量 DL 和 DL 对 COPD 肺气肿成分的预测作用:一项回顾性观察研究。

Single-Breath Simultaneous Measurement of DL and DL as Predictor of the Emphysema Component in COPD - A Retrospective Observational Study.

机构信息

National Centre for Respiratory Pharmacoeconomics and Pharmacoepidemiology - CESFAR, Verona, Italy.

AdRes Health Economics and Outcomes Research, Turin, Italy.

出版信息

Int J Chron Obstruct Pulmon Dis. 2024 Sep 25;19:2123-2133. doi: 10.2147/COPD.S467138. eCollection 2024.

Abstract

BACKGROUND

Chronic Obstructive Pulmonary Disease (COPD) is a respiratory condition characterized by heterogeneous abnormalities of the airways and lung parenchyma that cause different clinical presentations. The assessment of the prevailing pathogenetic components underlying COPD is not usually pursued in daily practice, also due to technological limitations and cost.

AIM

To assess non-invasively the lung emphysema component of COPD by the simultaneous measurement of DL and DL via a single-breath (sDL and sDL).

METHODS

COPD patients aged ≥40 years of both genders were recruited consecutively and labelled by computed tomography as "with significant" emphysema (>10% of CT lung volume) or "with negligible" emphysema otherwise. Current lung function tests such as sDL, sDL and Vc (the lung capillary blood volume) were measured. All possible subsets of independent spirometric and diffusive parameters were tested as predictors of emphysema, and their predicted power compared to each parameter alone by ROC analysis and area under the curve (AUC).

RESULTS

Thirty-one patients with "significant emphysema" were compared to thirty-one with "negligible emphysema". FEV and FEV1/FVC seemed to be the best spirometric predictors (AUC 0.80 and 0.81, respectively), while sDL and Vc had the highest predicted power among diffusive parameters (AUC 0.92 and 0.94, respectively). sDL and Vc values were the parameters most correlated to the extent of CT emphysema. Six subsets of independent predictors were identified and included at least one spirometric and one diffusive parameter. According to goodness-to-fit scores (AIC, BIC, log-likelihood and pseudo R), RV coupled with sDL or Vc proved the best predictors of emphysema.

CONCLUSION

When investigating the parenchymal destructive component due to emphysema occurring in COPD, sDL, sDL and Vc do enhance the predictive power of current spirometric measures substantially. sDL, sDL and Vc contribute to phenotype of the main pathogenetic components of COPD easily and with high sensitivity. Organizational problems, radiation exposure, time and costs could be reduced, while personalized and precision medicine could be noticeably implemented.

摘要

背景

慢性阻塞性肺疾病(COPD)是一种以气道和肺实质的异质性异常为特征的呼吸系统疾病,导致不同的临床表现。在日常实践中,通常不会评估 COPD 潜在的发病机制成分,这也是由于技术限制和成本原因。

目的

通过单次呼吸同时测量 DL 和 DL(sDL 和 sDL)来无创评估 COPD 的肺气肿成分。

方法

连续招募年龄≥40 岁的 COPD 患者,根据计算机断层扫描(CT)结果将其标记为“有显著”肺气肿(>10%的 CT 肺容积)或“无显著”肺气肿。测量 sDL、sDL 和 Vc(肺毛细血管血容量)等当前的肺功能测试。测试了所有可能的独立肺功能和弥散参数子集作为肺气肿的预测因子,并通过 ROC 分析和曲线下面积(AUC)比较它们单独预测的能力。

结果

将 31 名“有显著肺气肿”的患者与 31 名“无显著肺气肿”的患者进行比较。FEV 和 FEV1/FVC 似乎是最好的肺功能预测因子(AUC 分别为 0.80 和 0.81),而 sDL 和 Vc 是弥散参数中预测能力最高的(AUC 分别为 0.92 和 0.94)。sDL 和 Vc 值与 CT 肺气肿程度最相关。确定了六个独立预测因子子集,其中至少包含一个肺功能和一个弥散参数。根据拟合优度评分(AIC、BIC、对数似然和伪 R),RV 与 sDL 或 Vc 相结合是肺气肿的最佳预测因子。

结论

在研究 COPD 中发生的肺气肿引起的实质破坏成分时,sDL、sDL 和 Vc 确实大大提高了当前肺功能测量的预测能力。sDL、sDL 和 Vc 有助于轻松、高灵敏度地检测 COPD 主要发病机制成分的表型。可以减少组织问题、辐射暴露、时间和成本,同时明显实施个性化和精准医学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b5d/11439895/a8d18f6c81b0/COPD-19-2123-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验