医院类型 (公共与私人) 对中风后死亡率和存活率的影响
Carla Heloisa Cabral Moro1, Maria Izabel Rodrigues Mendes2, Milena Veiga Wiggers2
1Hospital Municipal São José, Departamento de Neurologia, Joinville SC, Brazil.
Arquivos de neuro-psiquiatria
|June 20, 2025
概括
脑卒中单位是重要的公共卫生政策,最大限度地减少脑卒中的影响. 这项研究发现,公立和私立医院之间的死亡率没有显著差异,强调了专门的中风护理单位的重要性.
科学领域:
- 神经学 神经学
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
背景情况:
- 在巴西,中风仍然是导致死亡的主要原因.
- 在一些巴西城市,紧急/紧急中风护理单位已经实施.
- 对中风患者的公立医院护理与私人医院护理的比较影响,特别是关于中风病房的比较影响,仍然没有得到评估.
研究的目的:
- 为了比较中风患者的死亡率和存活率,这些患者被录入公共医院,有中风病房,与没有中风病房的私立医院相比.
- 评估医院类型和中风病房存在对患者结果的影响.
主要方法:
- 从2018年1月到2020年12月,在巴西南部的Joinville进行了一项历史队列研究.
- 来自一家公共医院的中风患者与两家私立医院没有中风病房的患者进行了比较.
- 考克斯回归分析用于比较死亡率和30天生存率.
主要成果:
- 该研究包括4,508名中风患者;85.6%在公立医院接受治疗,14.4%在私立医院接受治疗.
- 公立医院的原始死亡率为11.4%,私立医院为9.1% (p=0.085).
- 多变量分析显示,在公共医院有中风病房和私立医院没有中风病房之间,死亡率没有统计学上显著的差异 (危险比率=1.21;95% CI:0.87-1.68;p=0.262).
结论:
- 尽管在这个特定群体中没有统计学上显著的差异,但中风单位被强调为关键的公共政策干预.
- 这些发现强调了专门的中风护理单位在减轻中风影响方面的重要性,无论医院的所有权如何.
- 可能需要进一步的研究,以充分阐明医院类型和中风病房可用性对中风结果的细微影响.
相关概念视频
Comparing the Survival Analysis of Two or More Groups
302
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...
302
Cardiac Output II: Effect of Stroke Volume on Cardiac Output
1.5K
Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
1.5K
Hospitals-I
924
Hospitals offer medical and surgical care to the sick and injured, along with accommodation while they recover. At the same time, they also provide outpatient, emergency, psychiatric, and rehabilitation services to meet various community needs. In addition to providing medical care, hospitals also act as hubs for medical research and training. Hospitals use clinical procedures and evidence-based practice standards to deliver patient care. To deliver safe and efficient care, a nurse must stay up...
924
Regulation of Stroke Volume
3.5K
The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
3.5K
Assumptions of Survival Analysis
200
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.
200
Cancer Survival Analysis
458
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
458


