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开发和验证一种用于儿童肺功能质量分级的算法:一项质量改进计划。

Development and Validation of an Algorithm for Quality Grading of Pediatric Spirometry: A Quality Improvement Initiative.

机构信息

Division of Respiratory Medicine and.

Translational Medicine Program, SickKids Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada.

出版信息

Ann Am Thorac Soc. 2022 Jan;19(1):74-81. doi: 10.1513/AnnalsATS.202103-382QI.

Abstract

Current spirometry quality grading for individuals 7 years and older include within-test repeatability thresholds up to 250 ml, which may be inappropriately wide for children. ) To develop, internally validate, and implement a quality grading algorithm for forced expiratory volume in 1 second (FEV) and forced vital capacity (FVC) for school-aged children and ) to compare the algorithm with the one proposed by the American Thoracic Society (ATS). We conducted a review of existing algorithms and obtained expert input. A pediatric quality grading algorithm was drafted and modified in an iterative process until consensus was achieved, with the main difference from current criteria being tighter volume repeatability for the pediatric quality grading. Four pulmonary function technicians evaluated the interrater agreement of the algorithm in a blinded fashion on an unselected consecutive sample of 87 prebronchodilator spirometry tests, and the grades were compared with those from the ATS algorithm in the same sample of spirometry tests. The algorithm was then implemented into the workflow of the pulmonary function laboratory. For FEV and FVC, the interrater agreement values for the pediatric algorithm were 92% and 83%, respectively. When the ATS algorithm was used, 75.9% ( = 66) and 63.2% ( = 55) of subjects achieved a grade of A for FEV and FVC; when the pediatric algorithm was used, 69.0% ( = 60) and 58.6% ( = 51) met grade A criteria. There was a more uniform distribution of tests for the pediatric algorithm across grades B through F for FEV and FVC, and no grade C tests were observed for the ATS grading algorithm. A total of 2,464 tests graded prospectively by using the pediatric algorithm showed a median (interquartile range) FEV and FVC repeatability within 29 ml (13-57 ml) and 34 ml (15-66 ml), respectively. Most subjects received a grade of A for FEV (81.1%) and FVC (71.6%), performing a repeatable spirometry test to within 100 ml. A quality grading algorithm that uses smaller ranges of expired volumes to define repeatability is feasible and may be more appropriate in a pediatric pulmonary function laboratory.

摘要

目前,7 岁及以上个体的肺量计质量分级包括测试内重复性阈值高达 250ml,这对于儿童来说可能过于宽泛。本研究旨在开发、内部验证和实施一种适用于学龄儿童的 1 秒用力呼气量(FEV)和用力肺活量(FVC)的质量分级算法,并与美国胸科学会(ATS)提出的算法进行比较。我们对现有的算法进行了回顾,并获得了专家的意见。制定了一个儿科质量分级算法,并在迭代过程中进行了修改,直到达成共识,主要区别在于儿科质量分级的容量重复性更严格。四名肺功能技师以盲法方式对 87 例未经支气管扩张剂治疗的肺量计测试的无选择连续样本进行了算法的组内一致性评估,并将分级与同一批肺量计测试中的 ATS 算法进行了比较。然后,该算法被纳入肺功能实验室的工作流程。对于 FEV 和 FVC,儿科算法的组内一致性值分别为 92%和 83%。当使用 ATS 算法时,75.9%(=66)和 63.2%(=55)的受试者达到 FEV 和 FVC 的 A 级;当使用儿科算法时,69.0%(=60)和 58.6%(=51)达到 A 级标准。FEV 和 FVC 的儿科算法在 B 至 F 级之间的测试分布更加均匀,而 ATS 分级算法则没有 C 级测试。使用儿科算法前瞻性分级的 2464 次测试显示,FEV 和 FVC 的重复性中位数(四分位距)分别为 29ml(13-57ml)和 34ml(15-66ml)。大多数受试者的 FEV(81.1%)和 FVC(71.6%)获得 A 级,FEV 和 FVC 的重复测试精度均在 100ml 以内。使用更小的呼气量范围来定义重复性的质量分级算法是可行的,在儿科肺功能实验室中可能更合适。

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