沃尔特指数对住院后死亡率预测在老年人的外部验证
Thiago J Avelino-Silva1,2, Sei J Lee1,3, Kenneth E Covinsky1,3
1Division of Geriatrics, School of Medicine, University of California San Francisco.
JAMA network open
|January 22, 2025
概括
沃尔特指数准确地预测了巴西住院老年人的死亡率,与美国的表现相似. 预后工具需要持续验证和潜在更新.
科学领域:
- 老年医学 老年医学
- 预测研究 预测研究
- 医疗保健服务研究 医疗服务研究
背景情况:
- 沃尔特指数是评估住院老年人12个月死亡风险的关键工具.
- 它在非美国人口中的准确性需要评估.
研究的目的:
- 评估沃尔特指数用于预测巴西老年人住院后死亡率的外部有效性.
- 为了确定是否添加狂妄,虚弱或C-反应蛋白可以提高预测准确度.
主要方法:
- 研究一组2780名老年人 (≥70岁) 住院于巴西一所大学医院.
- 计算了沃尔特指数,并评估了其对12,6,24,48个月死亡率的预测准确性.
- 绩效指标包括歧视,校准和临床效用.
主要成果:
- 沃尔特指数显示,12个月死亡率的曲线下面面积 (AUC) 为0.714,与其最初的美国验证相比.
- 预测准确性在6个月,24个月和48个月内保持一致.
- 添加狂妄症略有改善了歧视 (AUC 0.723),但脆弱性和C反应蛋白并没有进一步提高准确性.
结论:
- 沃尔特指数证明了巴西老年人出院后死亡率的持续预测表现.
- 这些发现强调了对不同人群的预后工具的持续验证和潜在适应的重要性.
- 这支持沃尔特指数在国际老年护理中的持续使用和潜在改进.
更多相关视频
07:40Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
3.2K
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.4K
相关概念视频
Actuarial Approach
60
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,...
60
The Mantel-Cox Log-Rank Test
293
The Mantel-Cox log-rank test is a widely used statistical method for comparing the survival distributions of two groups. It tests whether a statistically significant difference exists in survival times between the groups without assuming a specific distribution for the survival data, making it a non-parametric test. This flexibility makes the log-rank test particularly valuable in medical research and other fields where the timing of an event, such as death or disease recurrence, is of...
293
Wilcoxon Rank-Sum Test
147
The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
147
Wilcoxon Signed-Ranks Test for Matched Pairs
84
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
84
