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Clinical Roles of Lung Volumes Detected by Body Plethysmography and Helium Dilution in Asthmatic Patients: A Correlation and Diagnosis Analysis

机译:哮喘患者身体体积描记法检测的肺积量的临床作用:相关与诊断分析

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Roles of lung volumes in asthma remain controversial. We aimed to evaluate the efficacy of lung volumes in differentiating asthma severity levels. Consecutive outpatients with chronic persistent asthma were enrolled, and body plethysmography (BP) and helium dilution (HD) were performed simultaneously to extract RV%pred, TLC%pred, and RV/TLC. Significant negative correlations were found between FEV1%pred and RV%pred (r?=??0.557, P??0.001), TLC%pred (r?=??0.387, P??0.001), and RV/TLC (r?=??0.485, P??0.001) measured by BP, as well as difference in volumes between these two techniques (ΔRV%pred, ΔTLC%pred and ΔRV/TLC). In mild and moderate asthma, AUC of RV%pred detected by BP and ΔTLC%pred was 0.723 (95%CI 0.571–0.874, P?=?0.005) and 0.739 (95%CI 0.607–0.872, P?=?0.002) with sensitivity and specificity being 79.41% and 88.24%, and 65.22% and 56.52% at cut-off of 145.40% and 14.23%, respectively. In moderate and severe asthma, AUC of RV%pred detected by BP and ΔTLC%pred was 0.782 (95%CI 0.671–0.893, P??0.001) and 0.788 (95%CI 0.681–0.894, P??0.002) with sensitivity and specificity being 77.78% and 97.22%, and 73.53% and 52.94% at cut-off of 179.85% and 20.22%, respectively. In conclusion, lung volumes are reliable complement of FEV1 in identifying asthma severity levels.
机译:肺部体积在哮喘中的角色仍然存在争议。我们旨在评估肺体积在区分哮喘严重程度的疗效。纳入慢性持续性哮喘的连续门诊患者,并同时进行体内体积描记法(BP)和氦稀释(HD)以提取RV%PRED,TLC%PREA和RV / TLC。 FEV1%pred和RV%pred(r?= 0.557,p≤0.001),tlc%pred(r?= 0.387,p≤0.001)和rv / tlc之间的显着的负相关性(r?= ?? 0.485,p?<0.001)通过BP测量,以及这两种技术(ΔRV%pred,ΔTlc%pred和Δrv/ tlc)之间的体积差异。在温和和中度哮喘中,由BP和ΔTLC%pred检测的RV%pred的AUC为0.723(95%CI 0.571-0.874,P?= 0.005)和0.739(95%CI 0.607-0.872,P?= 0.002)敏感性和特异性分别为79.41%和88.24%,分别为145.40%和14.23%的截止值为79.41%和88.24%,65.22%和56.52%。在适度和严重的哮喘中,BP和ΔTLC%PEAT检测的RV%PEAT的AUC为0.782(95%CI 0.671-0.893,P?<0.001)和0.788(95%CI 0.681-0.894,P?<0.002)敏感性和特异性分别为77.78%和97.22%,分别为179.85%和20.22%的截止值73.53%和52.94%。总之,肺量可靠地补充FEV1,识别哮喘严重程度。

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