Galvin James E
Comprehensive Center for Brain Health and Institute for Healthy Aging and Lifespan Studies, Charles E. Schmidt College of Medicine and Christine E. Lynn College of Nursing, Florida Atlantic University.
Curr Geriatr Rep. 2018 Mar;7(1):19-25. doi: 10.1007/s13670-018-0236-2. Epub 2018 Jan 26.
Dementia detection in the community is challenging. The purpose of this paper is to review methods of dementia screening and provide a useable algorithm for screening for dementia a variety of clinical settings.
In recent years, a number of brief performance and informant-based assessments have been developed and validated in research, clinical, and community samples. These assessments are now complemented by patient self-reports that afford the ability to detect subjective cognitive impairment.
An optimal approach to dementia screening is to combine performance, informant, and self-reports, many of which can be completed in the waiting room or by non-physician staff prior to the start of the office visit. This diverse information may help inform the provider as to the presence or absence of a cognitive disorder, assist in staging the extent of the disorder, and help to develop a differential diagnosis and management plan.
在社区中检测痴呆具有挑战性。本文旨在回顾痴呆筛查方法，并提供一种适用于多种临床环境的痴呆筛查实用算法。
近年来，一些简短的基于表现和 informant 的评估方法已在研究、临床和社区样本中得到开发和验证。现在，这些评估得到了患者自我报告的补充，这些自我报告能够检测主观认知障碍。
痴呆筛查的最佳方法是将基于表现的评估、 informant 评估和自我报告相结合，其中许多评估可以在候诊室完成，或者由非医生工作人员在门诊开始前完成。这些多样的信息可以帮助医生了解是否存在认知障碍，协助确定障碍的程度，并有助于制定鉴别诊断和管理计划。
