一个个性化的诺莫图谱用于预测住院期间感染性休克患者的死亡风险:十年的回顾分析
Mengqi Wang1, Yunzhen Shi2, Xinling Pan3
1Department of Neurology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang Province, People's Republic of China.
Infection and drug resistance
|September 26, 2023
概括
这项研究开发了一种名图,用于预测住院患者的败血性休克死亡风险. 该模型有效地识别高风险个体,帮助临床决策,以获得更好的患者管理和结果.
科学领域:
- 关键护理医学 关键护理医学
- 临床预测建模临床预测建模
- 败血栓冲击病理生理学
背景情况:
- 败血性休克对住院患者构成重大死亡风险.
- 准确预测死亡率对于及时有效的临床管理至关重要.
- 现有的预测工具可能需要增强,以提高准确性.
研究的目的:
- 开发和验证用于预测感染性休克住院患者的死亡风险的诺姆图.
- 为了确定与性休克死亡率相关的独立风险因素.
- 将开发模型的预测性能与已建立的评分系统和机器学习模型进行比较.
主要方法:
- 一项回顾性队列研究,涉及1253名住院的败血症休克患者 (2013-2023年).
- 患者被分为建模 (n=878) 和验证 (n=375) 组.
- 逐步回归确定了死亡风险因素;使用AUC,校准和决策曲线分析构建和验证了后勤回归模型和名图.
主要成果:
- 死亡的关键独立风险因素包括年龄,呼吸衰竭,血清胆酶,乳酸,血液,血液,总胆和pH值.
- 开发的名图实现了高分辨能力,AUC为0.881 (建模) 和0.868 (验证).
- 该模型表现出良好的校准和临床适用性,性能优于SOFA得分 (AUC=0.799) 并与机器学习模型可比.
结论:
- 开发的诺米克图是预测住院败血症休克患者死亡风险的有效工具.
- 这种预测模型可以帮助临床医生量身定制治疗策略并优化患者管理.
- 诺米图提供了一种有价值的,临床上适用的方法,以改善败血症休克患者的治疗结果.
相关概念视频
01:20Comparing the Survival Analysis of Two or More Groups
218
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...
218
01:20Actuarial Approach
96
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,...
96
01:24Kaplan-Meier Approach
178
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,...
178
01:30Pneumonia III: Complications and Assessment
253
Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
253
01:30Acute Kidney Injury IV: Diagnostic Studies and Prevention
21
Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...
21