Service d'Anesthésie-Réanimation, Hospices Civils de Lyon, Hôpital Louis Pradel, Lyon, F-69500, France.
Laboratoire CarMeN, Inserm U1060, Lyon, France.
J Clin Monit Comput. 2023 Oct;37(5):1409-1412. doi: 10.1007/s10877-023-01027-z. Epub 2023 May 18.
Capillary refill time (CRT) is an important indicator of peripheral perfusion with a strong prognostic value, but it is sensitive to environmental factors and numerous measurement methods are reported in the litterature. DiCARTECH has developed a device that assesses CRT. We sought to investigate the robustness of the device and the reproducibility of the algorithm in a bench and in-silico study. We used the video acquired from a previous clinical study on healthy volunteers. For the bench study, the measurement process was performed by a robotic system piloted by a computer that analyzed 250 times nine previously acquired videos. For the in-silico study, we used 222 videos to test the algorithm's robustness. We created 30 videos from each video with a large blind spot and used the "color jitter" function to create a hundred videos from each video. In the bench study, the coefficient of variation was 11% (95%CI: 9-13). The correlation with human-measured CRT was good (R = 0.91, P < 0.001). In the in-silico study, for the blind spotted video, the coefficient of variation was 13% (95%CI: 10-17). For the color-jitter modified video the coefficient of variation was 62% (95%CI: 55-70). We confirmed the ability of the DiCART™ II device to perform multiple measurements without mechanical or electronic dysfunction. The precision and reproducibility of the algorithm are compatible with the assessment of clinical small changes in CRT.
毛细血管再充盈时间(CRT)是外周灌注的重要指标,具有很强的预后价值,但它对外界环境因素敏感,文献中报道了许多测量方法。DiCARTECH 开发了一种评估 CRT 的设备。我们旨在研究该设备在 bench 和模拟研究中的稳健性和算法的可重复性。我们使用了先前在健康志愿者临床研究中获取的视频。对于 bench 研究,测量过程由计算机控制的机器人系统执行,该系统分析了 250 次之前获取的 9 个视频。对于模拟研究,我们使用了 222 个视频来测试算法的稳健性。我们从每个视频中创建了 30 个具有较大盲点的视频,并使用“颜色抖动”功能从每个视频创建了 100 个视频。在 bench 研究中,变异系数为 11%(95%CI:9-13)。与人工测量 CRT 的相关性良好(R=0.91,P<0.001)。在模拟研究中,对于有盲点的视频,变异系数为 13%(95%CI:10-17)。对于颜色抖动修改后的视频,变异系数为 62%(95%CI:55-70)。我们证实了 DiCART™ II 设备能够进行多次测量,而不会出现机械或电子故障。算法的精度和可重复性与 CRT 临床微小变化的评估相兼容。