中国全科医学 ›› 2020, Vol. 23 ›› Issue (17): 2132-2136.DOI: 10.12114/j.issn.1007-9572.2020.00.128

所属专题: 衰弱最新文章合集

• 专题研究 • 上一篇    下一篇

60岁以上住院患者衰弱现状及其与认知功能的相关性分析

杨艳蓉,汪子琪*,李铮,付良秀,胡婷婷   

  1. 611130四川省成都市第五人民医院神经内科
    *通信作者:汪子琪,主治医师;E-mail:ziqiwang@foxmail.com
  • 出版日期:2020-06-15 发布日期:2020-06-15
  • 基金资助:
    基金项目:2014年四川省医学科研青年创新课题计划基金(Q14015);2018年四川省医学科研青年创新课题计划基金(Q18002);成都市医学科研课题(2019118);成都中医药大学“杏林学者”学科人才科研计划(YYZX2019004);2018年四川省医学会高血压疾病专项科研课题(5-8);2018年四川省医学会高血压疾病专项科研课题(5-7);成都市卫生局科研项目(2014039)

Frailty Prevalence and Its Correlation with Cognitive Function in Hospitalized Patients Over 60 Years Old 

YANG Yanrong,WANG Ziqi*,LI Zheng,FU Liangxiu,HU Tingting   

  1. Department of Neurology,Chengdu Fifth People's Hospital,Chengdu 611130,China
    *Corresponding author: WANG Ziqi,Attending physician;E-mail: ziqiwang@foxmail.com
  • Published:2020-06-15 Online:2020-06-15

摘要: 背景 衰弱是一种老年综合征,是衰老常见的负面后果,与认知障碍有明显共同特征,预防和减轻衰弱,可能减少认知障碍的发生。目的 探讨60岁以上住院患者衰弱现状,并分析衰弱与认知功能的相关情况。方法 2015年11月—2016年5月采用随机数字表法选择在成都市第五人民医院住院的60岁以上患者作为研究对象。自制登记表,收集患者性别、年龄、民族、文化程度、月收入等人口学资料。使用衰弱筛查量表(FRAIL量表)评估衰弱情况,根据其衰弱情况分为:无衰弱组、衰弱前期组、衰弱组。使用简易智能精神状态检查量表(MMSE)和画钟试验(CDT),评估患者认知功能。采用多元线性回归分析探讨FRAIL量表评分和人口学资料的相关性,并比较不同衰弱情况患者的认知功能。结果 本研究共纳入患者223例,其中无衰弱组52例(23.3%),衰弱前期组110例(49.3%),衰弱组61例(27.4%)。多元线性回归分析结果显示,年龄〔β=0.039,95%CI(0.016,0.062)〕、文化程度〔β=-0.207,95%CI(-0.405,-0.008)〕是FRAIL量表评分的影响因素(P<0.05)。MMSE、CDT、时间定向力、地点定向力、注意力和计算力、延迟回忆力、视空间评分均随衰弱程度的增加而下降(P<0.05)。结论 60岁以上住院患者,衰弱发生率较高,与年龄、文化程度关系密切,可导致总体认知功能障碍,以时间定向力、地点定向力、注意力和计算力、延迟回忆、视空间障碍为主。

关键词: 衰弱, 认知功能下降, 老年人, 衰弱筛查量表, 简易智能精神状态检查量表, 画钟试验

Abstract: Background Frailty is a geriatric syndrome,and a common negative consequence of aging,which share some obvious characteristics as cognitive impairment.Preventing and relieving frailty may reduce the possibility of developing cognitive impairment.Objective This study aimed to investigate frailty prevalence and its correlation with cognitive function in hospitalized patients over 60 years old.Methods We enrolled a random sample of hospitalized patients over 60 years old from Chengdu Fifth People's Hospital from November 2015 to May 2016.We used a self-made registration sheet to collect their demographic data(gender,age,nationality,educational level and monthly income),and used the FRAIL Scale to assess the prevalence of frailty,and used the Mini-Mental State Examination(MMSE)with Clock Drawing Test(CDT)to assess cognitive function.We used multiple linear regression analysis to explore the correlation between frailty level and demographic data,and compared cognitive functions by level of frailty.Results Altogether,223 cases were enrolled,including 52(23.3%) who were identified with no frailty(non-frailty group),110(49.3%) with pre-frailty(pre-frailty group),and 61(27.4%) with frailty(frailty group).By multiple linear regression analysis,age〔β=0.039,95%CI(0.016,0.062)〕 and education〔β=-0.207,95%CI(-0.405,-0.008)〕 were found to be the influencing factors of frailty(P<0.05).The scores of MMSE,CDT,orientation to time,orientation to place,attention and calculation,recall,and the time and place of the test all decreased with the increase of the level of frailty(P<0.05).Conclusion The prevalence of frailty is high in hospitalized patients over 60 years old,which is closely related to age and education level,and can lead to the decline of total cognitive impairment manifested mainly in orientation to time,orientation to place,attention and calculation,recall,and the time and place of the test.

Key words: Marasmus, Cognitive impairment, Aged, Frailty assessment tools, Mini mental state examination, Clock drawing test