虚弱或肉:哪个是老年人死亡风险的更好指标?
Aline Fernanda de Souza1, Paula Camila Ramírez2, Dayane Capra de Oliveira1
1Postgraduate Program in Physical Therapy, Federal University of São Carlos, São Carlos, Brazil.
Journal of epidemiology and community health
|October 11, 2024
概括
虚弱和肉症共享评估方法,但特定的肉症标准更好地预测老年人死亡风险. 使用较低的抓力强度切断界限用于萨科佩尼亚,比脆弱表型更有效地确定了死亡风险.
科学领域:
- 老年学是指老年学的学科.
- 临床医学 临床医学
- 公共卫生 公共卫生
背景情况:
- 虚弱和肉是常见的老年病症,共享重叠的评估指标,包括步行速度和肌肉力量.
- 确定哪种疾病更准确地预测死亡风险对于有效的临床干预和公共卫生战略至关重要.
研究的目的:
- 为了比较脆弱现象型与肉类的预测值,利用握力强度的各种切断点,确定长期死亡风险.
- 在14年的随访期内,确定与死亡率预测相关的萨尔科佩尼亚的最佳诊断标准.
主要方法:
- 这项研究分析了4597名参与英国长度老化研究的数据.
- 使用弗里德表型来评估脆弱性,而根据欧洲老年人肉症工作组2标准来定义肉症,包括多种不同的握力截止值,低肌肉质量和缓慢的步行速度.
- 使用了考克斯的比例危险模型,并对社会人口统计学,行为和临床共变量进行了调整.
主要成果:
- 在抓力强度切线<36公斤 (男性) 和<23公斤 (女性) 的情况下定义的肉类症显著预测了可能的死亡风险,肉类症和严重的肉类症分类 (HRs从1.17到1.62).
- 虚弱现象型也确定了死亡风险 (HR=1.49),但虚弱前没有.
- 其他测试的肉类的切线点没有产生显著的死亡风险预测.
结论:
- 石症,按抓力强度值定义为男性<36公斤,女性<23公斤,在识别老年人死亡风险方面表现出比虚弱表型更好的能力.
- 这些发现表明,精确的肉类症标准可能为老年人群的风险分层提供更精确的工具.
相关概念视频
Bone Disorders
3.4K
Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...
3.4K
Comparing the Survival Analysis of Two or More Groups
156
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
156
Kaplan-Meier Approach
103
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
103


