解放军医学院学报2024，Vol.45Issue(1)：59-66,8.DOI:10.12435/j.issn.2095-5227.2023.117
基于可穿戴系统的体位/体动信息量化及其与心力衰竭患者NYHA分级关联分析
Quantitative analysis of body position/physical activity information and its correlation with NYHA class in patients with heart failure based on wearable system
摘要
Abstract
Background Heart failure patients typically exhibit decreased daily activity and limited motor function,body position/physical activity information is closely related to disease severity and prognosis of patients with heart failure.Quantifying body position/physical activity information through wearable physiological monitoring systems can be used as a potential quantitative evaluation method for the severity of heart failure,and its relationship with New York Heart Association(NYHA)heart function class requires further research.Objective To investigate the correlation between body position/physical activity information and NYHA class in patients with heart failure.Methods This study included heart failure patients hospitalized in the Department of Cardiology,West China Hospital of Sichuan University from May 2021 to November 2022.The 24-hour continuous physiological monitoring data were collected by the wearable physiological monitoring system on the day of admission and one day before discharge,and clinical data were also collected simultaneously.Four body position/physical activity indicators were calculated by processing and analyzing the information of the three-axis acceleration sensor in the wearable physiological monitoring system,including bed rest time,activity time,step number,and the number of toss-and-turn events.Patients were grouped based on the NYHA class at admission,admission and discharge,and whether the NYHA class improved at discharge.Subsequently,the correlation between body position/physical activity indicators and NYHA class was analyzed.Results A total of 69 patients with heart failure were involved,including 40 males,with an average age of(60.90±14.24)years old and there were 9 patients in the NYHA classⅡgroup,24 patients in classⅢ,and 36 patients in classⅣ.With the increase of NYHA class,the proportion of bed rest time throughout the day gradually increased,while the proportion of activity time and the average number of steps per hour gradually decreased,the above three indicators showed significant differences between NYHA Ⅱ,Ⅲ,and Ⅳclass(P<0.05).The proportion of bed rest time(rs=0.319,P=0.008)was positively correlated with NYHA class,while the proportion of activity time(rs=-0.312,P=0.009)and the average number of steps per hour(rs=-0.309,P=0.010)were negatively correlated with NYHA class.The proportion of bed rest time at discharge was significantly lower than that at admission(96.25%vs 97.63%,P=0.026),while the proportion of activity time at discharge was significantly higher than that at admission(3.32%vs 1.78%,P<0.001),the average number of steps per hour at discharge was significantly higher than at admission(97.17 steps/h vs 35.58 steps/h,P<0.001).The trend of changes in body position/physical activity indicators in the improved group was the same as above.In patients with no improvement,only the average number of steps per hour at discharge was significantly higher than that at admission,but the enlargement was greater in the NYHA-improved group(71.21 steps/h vs 21.31 steps/h,P=0.003).Conclusion The wearable physiological monitoring system can objectively monitor the body position/physical activity information of patients with heart failure for a long time.The bed rest time is positively correlated with NYHA class,while activity time and step number are negatively correlated with NYHA class.These body position/physical activity indicators may be used as useful indicators for disease severity classification and state monitoring evaluation of patients with heart failure,which can be further extended to home and long-term monitoring of patients in the future.关键词
心力衰竭/体位/体动/NYHA分级/可穿戴系统/生理监测系统Key words
heart failure/body position/physical activity/NYHA class/wearable system/physiological monitoring system分类
医药卫生引用本文复制引用
寇宇晴,张庆,张政波,王文青,李梦伟,亢玉,张秀,喻鹏铭,颜伟,曹德森,晏沐阳..基于可穿戴系统的体位/体动信息量化及其与心力衰竭患者NYHA分级关联分析[J].解放军医学院学报,2024,45(1):59-66,8.基金项目
国家自然科学基金面上项目(62171471) （62171471）
保健专项科研课题面上项目(22BJZ42) （22BJZ42）
