预测痴呆症患者访问急诊室后的死亡率和成本:时间和位置很重要
Jason K Bowman1,2,3, Christine S Ritchie4,5, Kei Ouchi5,6
1Department of Emergency Medicine, Baylor College of Medicine, Houston, Texas, USA.
Journal of the American Geriatrics Society
|December 23, 2025
概括
识别需要重症监护的痴呆症患者是一项挑战. 行政数据模型难以准确预测死亡率和成本,强调需要更好的患者识别策略.
科学领域:
- 老年学是指老年学的学科.
- 医疗保健服务研究 医疗服务研究
- 公共卫生 公共卫生
背景情况:
- 患有痴呆症的个人经历了急诊室 (ED) 访问,住院,死亡率和成本的高率.
- 准确识别高风险痴呆症患者对于改善护理轨迹和结果至关重要.
- 目前的行政数据模型显示,预测这一群体的死亡率和成本存在局限性.
研究的目的:
- 描述痴呆症患者在急诊室 (ED) 的使用模式.
- 评估行政数据模型在预测死亡率和医疗保健成本方面的准确性.
- 探索护理环境和先前住院时间如何影响结果.
主要方法:
- 这是一项追溯的队列研究,对20%的66岁以上老年痴呆症传统医疗保险受益者进行随机抽样,并在2018年进行了指数ED访问.
- 对一年死亡率和高成本的分析,检查与先前住院时间的关联.
- 用C统计评估八种多变量模型的评估,以评估仅基于行政数据的预测准确性,按护理环境分层.
主要成果:
- 在250,343名痴呆症患者中,大多数 (83.9%) 在急救诊所访问之前居住在社区;16.1%在养老院 (NH).
- 一年死亡率因地点而异:18.4% (社区) 到47% (NH居民).
- 最近住院的人 (40.3%在1个月内) 的死亡率高于6个月前住院的人 (26.2%).
- 大多数行政模型的C-统计值≤0.72,表明预测死亡率和成本的准确性有限.
结论:
- 痴呆症患者的死亡率和成本受护理地点 (社区与NH) 和先前住院时间的影响.
- 仅靠行政数据模型就没有足够的准确性来预测痴呆症患者的结果.
- 整合临床数据和其他措施是必要的,以有效地识别高风险痴呆症患者在正确的时间.
更多相关视频
相关概念视频
01:30Dementia
482
Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual....
The progression of dementia is generally gradual....
482
01:15Drug Dosing: Geriatric Patients
206
Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
206
01:20Actuarial Approach
276
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
276
01:18Introduction To Survival Analysis
710
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
710
01:27Pharmacodynamics in Geriatric Patients: Effects of Age
174
Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
174