基于可穿戴六分钟步行系统预测心脏瓣膜手术术后肺部并发症的探索性研究  

A wearable six-minute walk-based system to predict postoperative pulmonary complications after cardiac valve surgery:an exploratory study

作　　者：王渝强 王佳晨 张健[3] 罗泽汝心 郭应强[1] 张政波[5] 喻鹏铭[4] WANG Yuqiang;WANG Jiachen;ZHANG Jian;LUO Zeruxin;GUO Yingqiang;ZHANG Zhengbo;YU Pengming(Department of Cardiovascular Surgery,West China Hospital,Sichuan University,Chengdu 610041,P.R.China;General Hospital of Tibet Military Region,Lhasa 850007,P.R.China;Medical School of Chinese PLA,Beijing 100853,P.R.China;Rehabilitation Medical Center,West China Hospital,Sichuan University,Chengdu 610041,P.R.China;Center for Artificial Intelligence in Medicine,Chinese PLA General Hospital,Beijing 100853,P.R.China)

机构地区：[1]四川大学华西医院心脏大血管外科,成都610041 [2]西藏军区总医院,拉萨850007 [3]中国人民解放军医学院,北京100853 [4]四川大学华西医院康复医学中心,成都610041 [5]中国人民解放军总医院医学人工智能研究中心,北京100853

出　　处：《生物医学工程学杂志》2023年第6期1117-1125,共9页Journal of Biomedical Engineering

基　　金：四川省科技厅重大项目基金(2022YFS0112)。

摘　　要：近年来,可穿戴设备迎来了蓬勃发展,将可穿戴设备与临床结合是其重要的发展方向。本研究的目的是通过可穿戴设备连续监测心脏瓣膜手术患者在术前六分钟步行试验(6MWT)过程中的呼吸生理参数,建立术后肺部并发症(PPCs)预测模型。纳入四川大学华西医院心脏大血管外科53名心脏瓣膜疾病患者,以术后是否出现PPCs作为分组依据,分析SensEcho可穿戴设备采集的6MWT连续呼吸生理参数,计算呼吸参数和血氧饱和度参数的组间差异,并构建预测模型。结果显示使用可穿戴设备连续性监测6MWT中呼吸生理参数对心脏瓣膜手术患者PPCs具有较好的预测趋势。本研究为可穿戴设备与临床结合提供了一种新型参考模式。In recent years,wearable devices have seen a booming development,and the integration of wearable devices with clinical settings is an important direction in the development of wearable devices.The purpose of this study is to establish a prediction model for postoperative pulmonary complications(PPCs)by continuously monitoring respiratory physiological parameters of cardiac valve surgery patients during the preoperative 6-Minute Walk Test(6MWT)with a wearable device.By enrolling 53 patients with cardiac valve diseases in the Department of Cardiovascular Surgery,West China Hospital,Sichuan University,the grouping was based on the presence or absence of PPCs in the postoperative period.The 6MWT continuous respiratory physiological parameters collected by the SensEcho wearable device were analyzed,and the group differences in respiratory parameters and oxygen saturation parameters were calculated,and a prediction model was constructed.The results showed that continuous monitoring of respiratory physiological parameters in 6MWT using a wearable device had a better predictive trend for PPCs in cardiac valve surgery patients,providing a novel reference model for integrating wearable devices with the clinic.

关 键 词：六分钟步行试验 连续性监测 心脏瓣膜手术 术后肺部并发症 预测模型 

分 类 号：R654.2[医药卫生—外科学]