步速和握力对住院老年患者全因死亡和跌倒的预测价值研究  

Predictive Value of Gait Speed and Grip Strength for All-cause Mortality and Falls in Geriatric Inpatients

作　　者：杨卉[1] 崔云婧 张少景 王丽军[1] 王青[1] YANG Hui;CUI Yunjing;ZHANG Shaojing;WANG Lijun;WANG Qing(Department of Geriatrics,Fuxing Hospital,Capital Medical University,Beijing 100038,China)

机构地区：[1]首都医科大学附属复兴医院老年科,北京市100038

出　　处：《中国全科医学》2022年第32期4010-4017,共8页Chinese General Practice

基　　金：国家重点研发计划项目(2018YFC2002101);北京市西城区卫生健康委员会科技新星项目(XWKX2020-23)。

摘　　要：背景步速和握力是反映身体机能的简单测量指标,均与老年人不良结局相关。目前将步速和握力联合预测住院老年患者不良结局的研究较少。目的探讨步速和握力与住院老年患者不良结局的关系。方法采用队列研究方法,选取2015年8月至2018年12月在首都医科大学附属复兴医院老年科住院的年龄≥65岁患者,采用6米步行试验计算步速,电子读表式握力计测量握力。依据步速三分位数将患者分为T1、T2、T3组,其中T1组步速≤0.6 m/s,T2组步速>0.6~0.8 m/s,T3组步速>0.8 m/s。依据握力三分位数将患者分为L1、L2、L3组,其中L1组握力:男性≤21.6 kg、女性≤14.6 kg,L2组握力:21.6 kg<男性≤28.2 kg、14.6 kg<女性≤19.4 kg,L3组:男性>28.2 kg、女性>19.4 kg。以电话方式进行随访,患者出院后每3个月开展1次,1年后每半年开展1次。随访截至2019-12-31。记录患者全因死亡及跌倒的发生情况。采用Kaplan-Meier法绘制生存曲线,Cox回归分析探究步速与握力对患者全因死亡及跌倒的影响,受试者工作特征(ROC)曲线比较步速和握力单独及联合对老年患者全因死亡及跌倒的预测效果。结果685例患者中失访29例(4.2%),最终收集完整资料共656例。随访期间共130例(19.8%)患者发生全因死亡,147例(22.4%)患者发生跌倒。T1、T2、T3组分别有222、225、209例患者,L1、L2、L3组分别有215、229、212例患者。Log-rank检验结果显示,T1、T2、T3组全因死亡、跌倒累积发生率的生存曲线比较,差异有统计学意义(P<0.01);L1、L2、L3组全因死亡、跌倒累积发生率的生存曲线比较,差异有统计学意义(P≤0.01)。多因素Cox回归分析结果显示,在调整混杂因素后,与T3组、L3组组合患者相比,T1组、L1组组合与T1组、L2组组合患者全因死亡发生风险增加〔HR=3.29,95%CI(1.13,9.55);HR=3.09,95%CI(1.08,8.85);P均<0.05〕,T1组、L1组组合患者跌倒发生风险增加〔HR=1.92,95%CI(1.13,4.27),P<0.05Background Gait speed and grip strength are simple markers of physical capability,which are associated with adverse outcomes in the elderly.However,there are few studies on the prediction of adverse outcomes in this population by the combination of the two markers.Objective To investigate the associations of gait speed and grip strength with adverse outcomes in geriatric inpatients.Methods A cohort design was used in this study.From August 2015 to December 2018,eligible geriatric inpatients aged≥65 years were recruited from Department of Geriatrics,Fuxing Hospital,Capital Medical University.We measured the gait speed and grip strength with 6-meter walking test and dynamometer,respectively.By the gait speed,the patients were divided into tertiles(T1 group:≤0.6 m/s,T2 group:>0.6-0.8 m/s,T3 group:>0.8 m/s).By the grip strength,they were divided into L1,L2 and L3 tertiles(L1 group:≤21.6 kg for males,≤14.6 kg for females;L2 group:>21.6 kg but≤28.2 kg for males,>14.6 kg but≤19.4 kg for females;L3 group:>28.2 kg for males,>19.4 kg for females).Follow-up was conducted by telephone once every three months within one year after discharge and once half a year after this until December 31,2019.All-cause mortality and falls were recorded.Survival curves were constructed by the Kaplan-Meier method.Cox regression analysis was used to investigate the association of gait speed,grip strength,or their combination with all-cause mortality and falls.ROC curves for comparing the ability of the two makers or their combination on predicting all-cause mortality and falls.Results Among the 685 patients,29(4.2%)were lost to follow-up,and the other 656 cases who finished the follow-up with complete data were included for analysis.During the follow-up period,130 patients(19.8%)died from all causes and 147 patients(22.4%)experienced falls.There were 222,225 and 209 patients in the low,moderate and high tertiles of gait speed(T1,T2 and T3 groups),and 215,229 and 212 patients in the low,moderate and high tertiles of grip strength(L1

关 键 词：老年人 住院病人 步速 握力 死亡 意外跌倒 预测 队列研究 

分 类 号：R592[医药卫生—老年医学]