相关实验视频
Updated: May 8, 2026

10:08
Pseudofracture: An Acute Peripheral Tissue Trauma Model
Published on: April 18, 2011
14.7K
重症多创伤患者死亡率的独立预测因素:单一中心,回顾性研究
Ping Zhou1, Lijing Ling1, Xiaohua Xia1
1Department of Emergency Medicine, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, 215300, China.
Heliyon
|February 19, 2024
概括
确定了多创伤患者死亡率和输血的预测因素. 降低基数过量 (BE) 与更高的死亡率有关,而BE,损伤严重程度得分 (ISS) 和格拉斯哥昏迷表 (GCS) 预测了输血需求.
科学领域:
- 创伤外科 手术 创伤外科
- 关键护理医学 关键护理医学
- 临床研究 临床研究
背景情况:
- 来自中国人口的多创伤患者的死亡率和输血治疗的独立预测因素尚未得到充分确立.
- 多创伤需要了解风险因素,以改善患者的治疗结果.
研究的目的:
- 在重症多创伤患者中确定死亡率和输血需求的独立预测因素.
- 分析生命体征和实验室结果,以确定危险因素.
主要方法:
- 从2020年1月至2021年12月期间治疗的408名多创伤患者的数据的回顾性分析.
- 使用后勤回归分析来确定死亡率和输血治疗的独立风险因素.
- 分析的关键指标包括格拉斯哥昏迷尺度 (GCS) 评分,基数过剩 (BE) 和伤害严重程度评分 (ISS).
主要成果:
- 该研究确定了格拉斯哥昏迷量表 (GCS) 的得分降低,基数过剩 (BE) 的降低和受伤严重程度得分 (ISS) 的增加作为死亡的独立风险因素.
- 输血的独立预测因素包括GCS得分增加,心率增加,静脉压降低 (SBP),外周氧和 (SpO2) 增加,血清乳酸盐降低,BE降低和ISS增加.
- 对死亡率和输血的预测模型表现出高准确度,AUROC分别为0.976和0.973.
结论:
- 降低基量过剩 (BE) 水平与多创伤患者的全因死亡率有显著的相关性.
- BE,ISS和GCS被认为是多创伤患者死亡率和输血的重要独立预测因素.
- 这些发现可以帮助多创伤患者的风险分层和临床决策.
相关概念视频
Specialized Care Centers and Settings-I
Specialized care settings or centers are situated in convenient locations within the community and offer care to a specific group or population. They consist of daycare facilities, mental health facilities, rural health facilities, educational institutions, industries, shelters for the homeless, and rehabilitation facilities.
Daycare centers
They provide several functions. Some facilities care for healthy newborns and children whose parents work, while others are medically focused and care for...
Daycare centers
They provide several functions. Some facilities care for healthy newborns and children whose parents work, while others are medically focused and care for...
Specialized Care Centers and Settings-II
Rural Health Centers
Rural health centers are specialized care facilities in remote locations with very few medical personnel. The primary care providers who run the centers are mostly Registered Nurse Practitioners. Here, emergency treatment is provided to critically ill or injured patients before they are transferred to the closest hospital. Fortunately, due to advancement in technology, many rural healthcare facilities and professionals have easy access to diagnostic and treatment...
Rural health centers are specialized care facilities in remote locations with very few medical personnel. The primary care providers who run the centers are mostly Registered Nurse Practitioners. Here, emergency treatment is provided to critically ill or injured patients before they are transferred to the closest hospital. Fortunately, due to advancement in technology, many rural healthcare facilities and professionals have easy access to diagnostic and treatment...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Assumptions of Survival Analysis
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Comparing the Survival Analysis of Two or More Groups
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 Cox...
Hazard Rate
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...

