物联网便携式肺功能仪用于厦门市居民肺功能筛查的效果分析  

Analysis of the effect ofinternet-of-things based portable spirometer used for pulmonary function screening in Xiamen residents

作　　者：王广东 马爱平[1] 陈玲玲 刘群[1] 鄢锟 翁朝航 许圣威 何明军 张惠荣 姜燕 WANG Guang-dong;MA Ai-ping;CHEN Ling-ling;LIU Qun;YAN Kun;WENG Chao-hang;XU Sheng-wei;HE Ming-jun;ZHNAG Hui-rong;JIANG Yan(Department of Respiratory and Critical Care Medicine,The First Affiliated Hospital of Xiamen University,Xiamen,Fujian 361003,China;Department of Respiratory Medicine,Xiamen Haicang Hospital,Xiamen,Fujian 361026,China;Xeek(Xiamen)Medical Equipment Co.Ltd,Xiamen,Fujian 361026,China)

机构地区：[1]厦门大学附属第一医院呼吸与危重症医学科,福建厦门361003 [2]厦门市海沧医院呼吸与危重症医学科,福建厦门361026 [3]赛客(厦门)医疗器械有限公司,福建厦门361026

出　　处：《临床肺科杂志》2022年第11期1653-1658,共6页Journal of Clinical Pulmonary Medicine

基　　金：厦门市科技计划医疗卫生项目(No.3502Z20184047)。

摘　　要：目的利用物联网便携式肺功能仪,对厦门市居民肺功能筛查,评估居民肺通气功能状况,探讨肺通气功能障碍的危险因素。方法利用物联网信息技术建立的呼吸云管理平台及赛客便携式肺功能检测仪,收集2018-2021年厦门市六个行政区各社区居民的基本信息并进行肺功能测定,评估居民肺通气功能状况,探讨肺通气功能障碍的危险因素。结果基本资料完整且肺功能数据合格的居民共61624人,有效率为69.94%。男女性别比为1:1.13,平均年龄50.25±14.53岁。肺通气指标第1秒呼气容积(FEV_(1))、用力肺活量(FVC)、FEV_(1)/FVC、最大呼气中期流速(MMEF)、呼气峰流速(PEF)平均值分别为(2.47±0.62)L/S、(3.20±0.76)L、(0.78±0.09)、(2.39±1.02)L/S、(5.25±1.57)L/S。FEV_(1)、FVC、MMEF、PEF男性高于女性,FEV_(1)/FVC男性低于女性。阻塞性通气功能障碍、限制性通气功能障碍、混合性通气功能障碍、小气道功能障碍检出率分别为13.84%、8.09%、1.54%、33.96%。男性、年龄是肺通气功能障碍的危险因素,BMI对不同类型的肺通气功能障碍影响不同。结论厦门市居民肺通气功能障碍比例较高,老年人尤为严峻,肺通气功能障碍与性别、年龄、BMI有关。基于物联网技术的大规模肺功能筛查有助于肺部通气功能障碍疾病的早期发现和预防。Objective To evaluate the pulmonary ventilation function of residents and explore the risk factors of pulmonary ventilation dysfunction by using internet-of-things based portable spirometerto screen the lung function of Xiamen residents.Methods The respiratory cloud management platform established by the internet-of-things and Xeekportable spirometer was used to collect the pulmonary ventilation function data and basic information of the residents of each community in the six administrative districts of Xiamen from 2018 to 2021,and to evaluate the pulmonary ventilation function of residentsand explore the risk factors of pulmonary ventilation dysfunction.Results A total of 61,624 residents had completed basic data and qualified pulmonary function data;with an effective rate of 69.94%.The sex ratio of male to female was 1∶1.13,and the average age was 50.25±14.53 years old.The pulmonary ventilation indicators including FEV_(1),FVC,FEV_(1)/FVC,MMEF,and PEF were(2.47±0.62)L/S,(3.20±0.76)L,(0.78±0.09),(2.39±1.02)L/S,(5.25±1.57)L/S,respectively.The FEV _(1),FVC,MMEF,and PEF of males were higher than those of females,and the FEV_(1)/FVC of males was lower than that of females.The detection rates of obstructive pulmonary ventilation dysfunction,restrictive ventilation dysfunction,mixed ventilation dysfunction,and small airway dysfunction were 13.84%,8.09%,1.54%,and 33.96%,respectively.Male and age are risk factors for pulmonary ventilation dysfunction,and BMI has different effects on different types of pulmonary ventilation dysfunction.Conclusion The proportion of pulmonary ventilation dysfunction in Xiamen residents is relatively high,especially in the elderly.Pulmonary ventilation dysfunction is related to gender,age,and BMI.Large-scale lung function screening based on IoT technology is helpful for the early detection and prevention of pulmonary ventilation dysfunction diseases.

关 键 词：物联网 便携式肺功能仪 厦门市 肺通气功能 危险因素 

分 类 号：R563[医药卫生—呼吸系统]