Department of Epidemiology, Peking Union Medical College, Beijing, China; Department of Graduate Medical Sciences, Boston University School of Medicine, Boston, MA, USA.
Department of Graduate Medical Sciences, Boston University School of Medicine, Boston, MA, USA.
Alzheimers Dement. 2018 Jan;14(1):35-42. doi: 10.1016/j.jalz.2017.04.013. Epub 2017 Jun 13.
With a rapidly aging population, general practitioners are confronting the challenge of how to determine those who are at greatest risk for dementia and potentially need more specialized follow-up to mitigate symptoms early in its course. We created a practical dementia risk score and provided individualized estimates of future dementia risk.
Using the Framingham Heart Study data, we built our prediction model using Cox proportional hazard models and developed a point system for the risk score and risk estimates.
The score system used total points ranging from -1 to 31 and stratifies individuals into different levels of risk. We estimated 5-, 10-, and 20-year dementia risk prediction and incorporated these into the points system.
This risk score system provides a practical tool because all included predictors are easy to assess by practitioners. It can be used to estimate future probabilities of dementia for individuals.
随着人口的迅速老龄化,全科医生面临着如何确定那些患痴呆症风险最高、可能需要更专业的后续治疗以在疾病早期减轻症状的挑战。我们创建了一个实用的痴呆风险评分,并提供了未来痴呆风险的个体化估计。
我们使用弗雷明汉心脏研究的数据,使用 Cox 比例风险模型构建我们的预测模型,并为风险评分和风险估计开发了一个点系统。
评分系统使用的总点数范围为-1 到 31,将个体分为不同的风险水平。我们估计了 5 年、10 年和 20 年的痴呆风险预测,并将这些预测纳入了点数系统。
该风险评分系统提供了一个实用的工具,因为所有包含的预测因素都很容易由医生评估。它可以用于估计个人未来患痴呆症的概率。