Magor Diana, Berkov Evgeny, Siomin Dmitry, Karniel Eli, Lasman Nir, Waldman Liat Radinsky, Gringauz Irina, Stern Shai, Kassif Reut Lerner, Barkai Galia, Lewy Hadas, Segal Gad
HIT-Holon Institute of Technology, Holon 5810201, Israel.
Internal Medicine Department C, Rabin Medical Center, Sharon Campus, Petah Tikva 494149, Israel.
Diagnostics (Basel). 2023 Oct 9;13(19):3153. doi: 10.3390/diagnostics13193153.
Technological advancement may bridge gaps between long-practiced medical competencies and modern technologies. Such a domain is the application of digital stethoscopes used for physical examination in telemedicine. This study aimed to validate the level of consensus among physicians regarding the interpretation of remote, digital auscultation of heart and lung sounds.
Seven specialist physicians considered both the technical quality and clinical interpretation of auscultation findings of pre-recorded heart and lung sounds of patients hospitalized in their homes. TytoCare system was used as a remote, digital stethoscope.
In total, 140 sounds (70 heart and 70 lungs) were presented to seven specialists. The level of agreement was measured using Fleiss' Kappa (FK) variable. Agreement relating to heart sounds reached low-to-moderate consensus: the overall technical quality (FK = 0.199), rhythm regularity (FK = 0.328), presence of murmurs (FK = 0.469), appreciation of sounds as remote (FK = 0.011), and an overall diagnosis as normal or pathologic (FK = 0.304). The interpretation of some of the lung sounds reached a higher consensus: the overall technical quality (FK = 0.169), crepitus (FK = 0.514), wheezing (FK = 0.704), bronchial sounds (FK = 0.034), and an overall diagnosis as normal or pathological (FK = 0.386). Most Fleiss' Kappa values were in the range of "fare consensus", while in the domains of diagnosing lung crepitus and wheezing, the values increased to the "substantial" level.
Bio signals, as recorded auscultations of the heart and lung sounds serving the process of clinical assessment of remotely situated patients, do not achieve a high enough level of agreement between specialized physicians. These findings should serve as a catalyzer for improving the process of telemedicine-attained bio-signals and their clinical interpretation.
技术进步可能弥合长期实践的医学能力与现代技术之间的差距。数字听诊器在远程医疗体格检查中的应用就是这样一个领域。本研究旨在验证医生在对心肺音远程数字听诊结果的解读上的共识程度。
七位专科医生评估了居家住院患者预先录制的心肺音听诊结果的技术质量和临床解读。TytoCare系统用作远程数字听诊器。
总共向七位专科医生展示了140个声音(70个心脏声音和70个肺部声音)。使用Fleiss' Kappa(FK)变量测量一致程度。关于心音的一致性达到低到中等共识:总体技术质量(FK = 0.199)、节律规律性(FK = 0.328)、杂音的存在(FK = 0.469)、对远程声音的感知(FK = 0.011)以及总体诊断为正常或病理(FK = 0.304)。一些肺部声音的解读达成了更高的共识:总体技术质量(FK = 0.169)、湿啰音(FK = 0.514)、哮鸣音(FK = 0.704)、支气管呼吸音(FK = 0.034)以及总体诊断为正常或病理(FK = 0.386)。大多数Fleiss' Kappa值处于“勉强共识”范围内,而在诊断肺部湿啰音和哮鸣音的领域,值提高到了“实质性”水平。
作为对远程患者进行临床评估过程中的心音和肺音听诊记录的生物信号,在专科医生之间未达成足够高的一致程度。这些发现应成为改进远程医疗获得的生物信号及其临床解读过程的催化剂。