分析墨西哥因特异性动脉血性心血管疾病死亡率:2011-2015年
Erwin Chiquete1, Jorge Aldrete-Velasco2, Sonia C Juárez-Comboni3
1Instituto Nacional de Ciencias Médicas y de la Nutrición Salvador Zubirán, Mexico.
Archives of medical science : AMS
|April 7, 2025
概括
墨西哥的心血管疾病 (CVD) 死亡率在2011-2015年期间上升,主要是因为缺血性心脏病. 男性和患有缺血性心脏病或中风的患者的生存年龄较短.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 心脏病学 心脏病学
背景情况:
- 心血管疾病 (CVD) 是墨西哥死亡率,残疾和过早死亡的主要原因.
- 动脉血性心血管疾病,包括缺血性心脏病,心力衰竭,脑血管疾病和外围动脉疾病,对这种负担有很大贡献.
研究的目的:
- 分析墨西哥因动血栓性心血管疾病的特定原因而导致的死亡率.
- 检查2011年至2015年心血管疾病死亡率的趋势.
主要方法:
- 分析了2011年1月至2015年12月的3,105,975份死亡证明.
- 利用国际疾病分类 (ICD) 的第10次修订来确定心血管疾病死亡.
- 在墨西哥联邦州进行区域分析.
主要成果:
- 检查了594,370份死亡证明,其中心血管疾病是主要原因.
- 根据年龄标准化的心血管疾病死亡率在2011年至2015年间从每10万人中从96.7增加到111.7.
- 缺血性心脏病显示死亡率的最显著增加,心力衰竭,脑血管疾病和外围动脉疾病的增加.
- 与女性 (77.73岁) 相比,男性的平均死亡年龄较短 (72.04岁).
- 缺血性心脏病和脑血管疾病与最短的生存时间有关.
- 死亡率在老年人群中显著增加,随着时间的推移,缺血性心脏病死亡人数急剧增加.
结论:
- 在研究期间,墨西哥的动脉血性心脏病死亡率有所增加,主要是由于缺血性心脏病.
- 在男性和患有缺血性心脏病和中风的个体中观察到更短的生存年龄.
更多相关视频
13:07Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
3.8K
09:06Quantitative Analysis of Cellular Composition in Advanced Atherosclerotic Lesions of Smooth Muscle Cell Lineage-Tracing Mice
Published on: February 20, 2019
8.2K
相关概念视频
Cancer Survival Analysis
308
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...
308
Comparing the Survival Analysis of Two or More Groups
92
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...
92
Introduction To Survival Analysis
129
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
129
