一项针对美国癌症患者COVID-19死亡风险的基于人口的研究
Kyle A Mani1,2, Xue Wu3, Daniel E Spratt2
1Albert Einstein College of Medicine, The Bronx, NY, USA.
Journal of the National Cancer Institute
|April 15, 2024
概括
患有癌症的人死于COVID-19的风险是两倍的. 年龄较大,男性性别以及西班牙裔或非裔美国人种族增加了癌症患者的COVID-19死亡风险. 这凸显了有针对性的生存计划的必要性.
科学领域:
- 在瘤学瘤学.
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
背景情况:
- COVID-19 流行病对脆弱人群造成了不成比例的影响,包括患有癌症的人群.
- 了解癌症队伍中COVID-19死亡风险因素对于公共卫生干预至关重要.
研究的目的:
- 为了对美国的癌症队列进行最大的分析,以描述COVID-19的死亡.
- 在癌症患者中确定与COVID-19死亡率相关的预后因素.
主要方法:
- 利用了国家癌症研究所的监测,流行病学和最终结果 (SEER) 数据库中的数据,用于2020年诊断的400多万癌症患者.
- 采用Cox比例危险模型来计算COVID-19死亡率的危险比率 (HR).
- 计算的标准化死亡率 (SMRs) 将观察到的COVID-19死亡与美国普通人口预期死亡进行比较.
主要成果:
- 在该队列中291,323例死亡中,14,821例 (5.1%) 是由于COVID-19而导致的.
- 在非癌症原因中,COVID-19是第二大死亡原因,SMR为2.30.
- COVID-19死亡率的关键风险因素包括年龄较大 (≥80岁),男性性别,未婚状态以及西班牙裔或非西班牙裔非洲裔美国人种族.
结论:
- 与普通人群相比,患有癌症的个人面临着因COVID-19而死亡的风险增加了两倍.
- 这些发现可以为开发有针对性的生存计划提供信息,以减轻癌症患者的COVID-19死亡风险.
- 公共卫生官员和临床医生可以利用这些数据来优先考虑高风险癌症患者小组的干预措施.
相关概念视频
Cancer Survival Analysis
345
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...
345
Actuarial Approach
77
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,...
77
Kaplan-Meier Approach
135
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,...
135
Statistical Methods for Analyzing Epidemiological Data
364
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
364
Comparing the Survival Analysis of Two or More Groups
179
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...
179
Rous Sarcoma Virus (RSV) and Cancer
5.1K
Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand RNA genome. Its genome consists of four main open...
RSV is a retrovirus that contains two copies of a plus-strand RNA genome. Its genome consists of four main open...
5.1K


