稳定性囊性纤维化患者家庭肺活量测定法与常规肺活量测定法测定肺功能参数的比较

A. Nesmith, T. Hudali, L. Edwards, G. Solomon
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引用次数: 1

摘要

理由:肺功能恶化是囊性纤维化(CF)患者发病和死亡的主要原因。肺活量测定法是监测肺功能衰退和早期发现急性加重的重要工具。最近,电信服务的使用有所增加,并在COVID-19大流行期间为弱势群体获得医疗服务发挥了关键作用。CF患者使用家庭肺活量测定法的准确性和可靠性尚不清楚。我们假设在稳定的CF患者中,使用家庭肺活量测定法测量的肺功能与临床肺活量测定法测量的基线肺功能相关。方法:我们前瞻性地招募了在2020年5月至12月期间接受手持式ZEPHYRx®家用肺活量计治疗的稳定型CF患者。我们分析了符合ATS标准的家庭肺活量测定方法。从电子健康记录中回顾性地收集基线特征,包括基线肺功能——在可用的情况下,计算为最佳的两种临床肺活量测定方法的平均值。仅包括稳定治疗患者的家庭肺活量测定(elexacaftor/tezacaftor/ivacaftor)。使用Pearson相关系数来评估基线肺功能与平均家庭肺活量测量之间的关系。我们测量了家庭肺活量测定的点估计值和平均值。结果:我们分析了77例患者,其中40例(51.9%)为女性,76例(98.7%)为非西班牙裔白人。患者平均年龄34.3岁(SD 10.9)。临床预测FEV1(FEV1(c))的平均基线百分比为68.7 (SD为23.2),家庭肺活量测定法预测FEV1(h)的平均百分比为66.6 (SD为20.9)。临床预测FVC的平均基线百分比(FVC(c))为73.5 (SD 21.7),而家庭肺活量测定法(FVC(h))的平均FVC为83.5 (SD 18.5)。一组患者(n= 48)在临床基线时(PEF(c))测得的平均峰值呼气流量(PEFR)为7.2 l/min (SD 19.1),使用家庭肺活量测定法测得的平均峰值呼气流量(PEF(h))为7.0 l/min (SD 1.8)。FEV1(c)与FEV1(h)之间存在很强的相关性(r = 0.95, P<0.001)。而FVC(c)和FVC(h)与PEF(c)和PEF(h)之间存在强相关性(r= 0.713, P<0.001), PEF(r= 0.895, P<0.001)。结论:在稳定期CF患者队列中,使用家用肺活量计测量的肺活量(FEV1、FVC和PEF)与相应的基线肺功能具有更强或更好的相关性。家庭肺活量计是监测CF患者的可靠设备。进一步的研究正在探索家庭肺活量测定的可变性和可重复性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison Between Lung Function Parameters Measured Using Home Spirometry and Routine Office Spirometry in Stable Cystic Fibrosis Patients
Rationale: Lung function deterioration is a major cause of morbidity and mortality in patients with cystic fibrosis (CF). Spirometry is an important tool for monitoring lung function decline and early detection of exacerbations. The use of tele-services has increased recently and played a pivotal role in healthcare access to the vulnerable populations during the COVID-19 pandemic. The accuracy and reliability of using home spirometry for CF patients remain unclear. We hypothesized that in stable CF patients, lung function measured using home spirometry would correlate with baseline lung function measured by clinic spirometry. Methods: We prospectively enrolled patients with stable CF who received handheld ZEPHYRx® home spirometers from May-December 2020. We analyzed home spirometry efforts that met ATS Standards. Baseline characteristics were retrospectively collected from the electronic health records including baseline lung function-calculated as the average of the best two clinic spirometry efforts, when available. Only home spirometry measurements of patients on stable therapy were included (elexacaftor/tezacaftor/ivacaftor). Pearson's correlation coefficients were performed to evaluate the relationship between baseline lung function and mean home spirometry measures. We measured both point estimates and mean values for home spirometry. Results: We analyzed a cohort of 77 patients, which consisted of 40 (51.9%) females and 76 (98.7%) Non-Hispanic Caucasian. The mean age of patients was 34.3 years (SD 10.9). The average baseline percent predicted FEV1 measured in clinic (FEV1(c)) was 68.7 (SD 23.2) and the average percent predicted FEV1 measured using home spirometry (FEV1(h)) was 66.6 (SD 20.9). The mean baseline percent predicted FVC in clinic (FVC(c)) was 73.5 (SD 21.7) whereas the mean FVC measured using home spirometry (FVC(h)) was 83.5 (SD 18.5). Mean peak expiratory flow rates (PEFR) measured in a subset of patients (n= 48) at baseline in clinic (PEF(c)) was 7.2 l/min (SD 19.1), and mean PEFR measured using home spirometry (PEF(h)) was 7.0 l/min (SD 1.8). A very strong correlation was found between FEV1(c) and FEV1(h) (r = 0.95, P< 0.001). Whereas strong correlations were found between FVC(c) and FVC(h) (r = 0.713, P<0.001) and PEF(c) and PEF(h) (r= 0.895, P<0.001). Conclusion: In a cohort of stable CF patients, the spirometric measures (FEV1, FVC and PEF) using a home spirometry device have stronger or better correlations with the corresponding baseline lung function. Home spirometry is a reliable device in monitoring CF patients. Further studies are ongoing exploring the variability and repeatability of home spirometry measures.
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