肺活量保持不变的烟草暴露者的表型和轨迹:肺活量的启示

Mehrdad Arjomandi, Siyang Zeng, Igor Barjaktarevic, Eugene R Bleecker, Russell P Bowler, Gerard J Criner, Alejandro P Comellas, David J Couper, Jeffrey L Curtis, Mark T Dransfield, M Bradley Drummond, Spyridon Fortis, MeiLan K Han, Nadia N Hansel, Eric A Hoffman, Robert J Kaner, Richard E Kanner, Jerry A Krishnan, Wassim Labaki, Victor E Ortega, Stephen P Peters, Stephen I Rennard, Christopher B Cooper, Donald P Tashkin, Robert Paine, Prescott G Woodruff
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引用次数: 0

摘要

背景-在慢性阻塞性肺疾病基因队列中,我们曾证实在肺活量保留的烟草暴露者(TEPS)中,不同的肺活量指数,特别是升高的总肺活量(TLC)与升高的功能残余肺活量与肺活量之比(FRC/TLC),可识别不同的肺部疾病特征。目的-确定 SPIROMICS 队列中 TEPS 的不同疾病特征以及与肺活量指数相关的轨迹。方法--我们根据基线 CT 图像得出的 TLC 或残余容积-TLC(RV/TLC)的三等分(低、中、高)对 TEPS(n=814)进行分类,然后在 TLC 高而 RV/TLC 不高([TLC]高)和 RV/TLC 高而 TLC 不高([RV/TLC]高)这两个互斥类别中检查临床和肺活量测定的疾病轨迹。我们采用回归模型研究了两类患者在基线时和随访 8.5 年期间在 CT 测量的肺气肿(HU≤-950;PRMEMPH)、气道潴留(HU≤-856;PRMfSAD;DPMGasTrap)、气道几何形状(Pi10)、呼吸系统症状(mMRC;CAT;SGRQ;SF12)和预后(年化恶化率)方面的差异。采用回归模型对年龄、性别、身高、体重、吸烟状况(目前吸烟与曾经吸烟)和吸烟负担(包年)进行了调整。结果 在 TEPS 参与者中,[TLC]高和[RV/TLC]高的肺活量疾病进展模式不同:[TLC]高的 FVC 增加,FEV1 稳定;而[RV/TLC]高的 FVC 不变,但 FEV1 名义上下降。与[TLC]高的 TEPS 相比,[RV/TLC]高的 TEPS 肺气肿较少(根据 HU≤-950),但气道疾病较多(根据 HU≤-856;PRMfSAD;DPMGasTrap 和 Pi10),呼吸道症状较多(根据 mMRC;CAT;SGRQ;SF12),基线时病情加重较严重。在平均 4.1±2.4 年(范围:0.5 至 8.5 年)的随访时间内,[RV/TLC]高的 TEPS 也更有可能出现更严重的肺活量疾病(PRISm 或 GOLD-2)和呼吸道症状恶化(通过 CAT 和 SGRQ)。虽然在随访期间,两类患者的呼吸道症状加重、住院和死亡率没有差异,但[RV/TLC]高的 TEPS 更有可能在最后一次随访时使用呼吸道吸入器。结论-在 SPIROMICS 队列的这些 TEPS 中,按 TLC 与 RV/TLC 进行肺容积分层可识别出两种具有不同呼吸道症状、影像学特征和临床轨迹的慢性阻塞性肺病前期表型。这些慢性阻塞性肺病前期表型的特征与之前 COPDGene 队列中使用 TLC 与 FRC/TLC 分层法所描述的特征一致。
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Phenotypes and Trajectories of Tobacco-exposed Persons with Preserved Spirometry: Insights from Lung Volumes.

Background-Among tobacco-exposed persons with preserved spirometry (TEPS), we previously demonstrated that different lung volume indices, specifically elevated total lung capacity (TLC) versus elevated ratio of functional residual capacity-to-TLC (FRC/TLC), identify different lung disease characteristics in the COPDGene cohort. Objective-Determine differential disease characteristics and trajectories associated with the lung volume indices among TEPS in the SPIROMICS cohort. Methods-We categorized TEPS (n=814) by tertiles (low, intermediate, high) of TLC or residual volume-to-TLC (RV/TLC) derived from baseline CT images, and then examined clinical and spirometric disease trajectories in mutually exclusive categories of participants with high TLC without high RV/TLC ([TLC]high) versus high RV/TLC without high TLC ([RV/TLC]high). We examined differences in CT-measured emphysema (HU≤-950; PRMEMPH), airway trapping (HU≤-856; PRMfSAD; DPMGasTrap), and airway geometry (Pi10), respiratory symptoms (mMRC; CAT; SGRQ; SF12), and outcomes (annualized exacerbation rate) between the two categories at baseline and over follow-up time up to 8.5 years, using regression modeling adjusted for age, sex, height, weight, and smoking status (current versus former) and burden (pack-years). Results-In TEPS participants, the pattern of spirometric disease progression differed between [TLC]high and [RV/TLC]high: increased FVC with stable FEV1 in [TLC]high versus unchanged FVC but nominally decreased FEV1 in [RV/TLC]high. Compared to [TLC]high, TEPS with [RV/TLC]high had less emphysema (by HU≤-950) but more airway disease (by HU≤-856; PRMfSAD; DPMGasTrap, and Pi10), more respiratory symptoms (by mMRC; CAT; SGRQ; SF12), and more severe exacerbations at baseline. Over an average follow-up time of 4.1±2.4 years (range: 0.5 to 8.5 years), [RV/TLC]high TEPS also had higher likelihood of developing more severe spirometric disease (PRISm or GOLD-2) and worsening of their respiratory symptoms (by CAT and SGRQ). Although the incidence rates of respiratory exacerbations, hospitalizations, and mortality were not different between the two categories over the follow-up time, [RV/TLC]high TEPS were more likely to have been placed on a respiratory inhaler at their last follow-up visit. Conclusions-In these TEPS from SPIROMICS cohort, lung volume stratification by TLC versus RV/TLC identifies two pre-COPD phenotypes with distinct respiratory symptoms, radiographic features, and clinical trajectories. The characteristics of these pre-COPD phenotypes match those previously described from COPDGene cohort using TLC versus FRC/TLC stratification.

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