Hager Drew, Kirk Andrew, Morgan Debra G, Karunanayake Chandima, O'Connell Megan E
College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Division of Neurology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Am J Alzheimers Dis Other Demen. 2016 Dec;31(8):643-649. doi: 10.1177/1533317516662334. Epub 2016 Aug 28.
To determine the predictors of cognitive decline in a rural and remote population with Alzheimer's disease (AD), we examined the association between cognitive change and sociodemographic, clinical, and functional data at the initial day of diagnosis. Simple linear regression analysis and multiple regression analysis were used to determine the predictors of cognitive decline as measured by the difference in the Mini-Mental State Examination over 1 year. Our sample included 72 patients with AD. Age at the clinic day appointment was 75.3 (standard deviation [SD] = 7.44). History of hypertension and decreased ability to carry out activities of daily living were statistically significant and predicted greater cognitive decline at 1 year. Many previously suggested predictors of cognitive decline were not evidenced in this study. This research helps identify clinically useful predictors of decline in a rural and remote population with AD.
为了确定农村和偏远地区阿尔茨海默病（AD）患者认知功能衰退的预测因素，我们在诊断首日检查了认知变化与社会人口统计学、临床及功能数据之间的关联。采用简单线性回归分析和多元回归分析来确定以1年内简易精神状态检查表差异衡量的认知衰退预测因素。我们的样本包括72例AD患者。门诊预约当日的年龄为75.3岁（标准差[SD]=7.44）。高血压病史和日常生活活动能力下降具有统计学意义，且预测1年后认知衰退更严重。本研究未证实许多先前提出的认知衰退预测因素。这项研究有助于确定农村和偏远地区AD患者认知衰退的临床有用预测因素。
