Princisval Leticia, Boccardo Antonio, Pravettoni Davide, Ferraro Salvatore, Valarcher Jean-François, Gomes Viviani, Fecteau Gilles, Buczinski Sébastien
Département Des Sciences Cliniques, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada.
Faculdade de Medicina Veterinaria, Fluminense Federal University, Niterói, Brazil.
J Vet Intern Med. 2025 Sep-Oct;39(5):e70203. doi: 10.1111/jvim.70203.
Lung auscultation is a common method for the routine diagnosis of calf bronchopneumonia. However, its repeatability among operators has been criticized.
Determine agreement among veterinarians for specific lung sounds after a short tutorial to standardize the definition of lung sounds.
Forty lung sounds from a larger dataset collected at 4 veal calf farms that housed 495-815 animals were submitted online to 10 different veterinarians.
After a short tutorial on lung sound auscultation, the raters were asked to detect the presence of any abnormal sounds and to differentiate among wheezes, crackles, and bronchial sounds. Raw percentage of agreement (PA), Gwet's agreement coefficient type 1 (AC1), Krippendorff's alpha (K), and Fleiss kappa (K) were chosen as agreement indicators in the absence of a gold standard indicator to assess agreement. The different indicators were interpreted based on a priori reported benchmarks.
The agreements were fair to good for almost all lung sound indicators. For the presence of any abnormal lung sound, the reported agreements (95% confidence intervals [CI]) were 0.781 (0.716-0.845), 0.646 (0.514-0.777), 0.403 (0.351-0.455), and 0.293 (0.137-0.493) for PA, AC1, K, and K, respectively. The same indicators were 0.769 (0.694-0.845), 0.615 (0.446-0.784), 0.426 (0.378-0.475), and 0.425 (0.293-0.563) for wheezes, 0.754 (0.685-0.823), 0.643 (0.503-0.782), 0.21 (0.146-0.275), and 0.208 (0.097-0.327) for crackles, and 0.636 (0.571-0.701), 0.345 (0.179-0.512), 0.182 (0.131-0.232), and 0.18 (0.081-0.279) for bronchial sound detections, respectively.
Agreement among raters auscultating calf respiratory sounds was higher than previously reported. However, improvement is still possible to increase auscultation agreement.
肺部听诊是犊牛支气管肺炎常规诊断的常用方法。然而,其在操作者之间的可重复性受到了批评。
在进行简短教程以标准化肺部声音定义后,确定兽医之间对特定肺部声音的一致性。
从4个饲养495 - 815头犊牛的小牛肉犊牛场收集的较大数据集中选取40个肺部声音,在线提交给10位不同的兽医。
在进行关于肺部声音听诊的简短教程后,要求评分者检测是否存在任何异常声音,并区分哮鸣音、湿啰音和支气管呼吸音。在没有金标准指标来评估一致性的情况下,选择原始一致性百分比(PA)、Gwet一致性系数1型(AC1)、Krippendorff's α(K)和Fleiss κ(K)作为一致性指标。根据先前报告的基准对不同指标进行解释。
几乎所有肺部声音指标的一致性为中等至良好。对于任何异常肺部声音的存在,PA、AC1、K和K报告的一致性(95%置信区间[CI])分别为0.781(0.716 - 0.845)、0.646(0.514 - 0.777)、0.403(0.351 - 0.455)和0.293(0.137 - 0.493)。哮鸣音的相同指标分别为0.769(0.694 - 0.845)、0.615(0.446 - 0.784)、0.426(0.378 - 0.475)和0.425(0.293 - 0.563),湿啰音为0.754(0.685 - 0.823)、0.643(0.503 - 0.782)、0.21(0.146 - 0.275)和0.2(0.097 - 0.327),支气管呼吸音检测为0.636(0.571 - 0.701)、0.345(0.179 - 0.512)、0.182(0.131 - 0.232)和0.18(0.081 - 0.279)。
听诊犊牛呼吸音的评分者之间的一致性高于先前报道。然而,仍有可能进一步提高以增加听诊的一致性。