已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Deaths Due to COVID-19 in Patients With Cancer During Different Waves of the Pandemic in the US

医学 大流行 2019年冠状病毒病(COVID-19) 人口 人口学 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 癌症 传输(电信) 疾病 内科学 环境卫生 传染病(医学专业) 社会学 电气工程 工程类
作者
Alexandra L. Potter,Vedha Vaddaraju,Shivaek Venkateswaran,Arian Mansur,Simar S. Bajaj,Mathew V. Kiang,Anupam B. Jena,Chi‐Fu Jeffrey Yang
出处
期刊:JAMA Oncology [American Medical Association]
卷期号:9 (10): 1417-1417 被引量:2
标识
DOI:10.1001/jamaoncol.2023.3066
摘要

With the ongoing relaxation of guidelines to prevent COVID-19 transmission, particularly in hospital settings, medically vulnerable groups, such as patients with cancer, may experience a disparate burden of COVID-19 mortality compared with the general population.To evaluate COVID-19 mortality among US patients with cancer compared with the general US population during different waves of the pandemic.This cross-sectional study used data from the Center for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database to examine COVID-19 mortality among US patients with cancer and the general population from March 1, 2020, to May 31, 2022. The number of deaths due to COVID-19 during the 2021 to 2022 winter Omicron surge was compared with deaths during the preceding year's COVID-19 winter surge (when the wild-type SARS-CoV-2 variant was predominant) using mortality ratios. Data were analyzed from July 21 through August 31, 2022.Pandemic wave during which the wild-type variant (December 2020 to February 2021), Delta variant (July 2021 to November 2021), or Omicron variant (December 2021 to February 2022) was predominant.Number of COVID-19 deaths per month.The sample included 34 350 patients with cancer (14 498 females [42.2%] and 19 852 males [57.8%]) and 628 156 members of the general public (276 878 females [44.1%] and 351 278 males [55.9%]) who died from COVID-19 when the wild-type (December 2020-February 2021), Delta (July 2021-November 2021), and winter Omicron (December 2021-February 2022) variants were predominant. Among patients with cancer, the greatest number of COVID-19 deaths per month occurred during the winter Omicron period (n = 5958): at the peak of the winter Omicron period, there were 18% more deaths compared with the peak of the wild-type period. In contrast, among the general public, the greatest number of COVID-19 deaths per month occurred during the wild-type period (n = 105 327), and at the peak of the winter Omicron period, there were 21% fewer COVID-19 deaths compared with the peak of the wild-type period. In subgroup analyses by cancer site, COVID-19 mortality increased the most, by 38%, among patients with lymphoma during the winter Omicron period vs the wild-type period.Findings of this cross-sectional study suggest that patients with cancer had a disparate burden of COVID-19 mortality during the winter Omicron wave compared with the general US population. With the emergence of new, immune-evasive SARS-CoV-2 variants, many of which are anticipated to be resistant to monoclonal antibody treatments, strategies to prevent COVID-19 transmission should remain a high priority.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
吗喽完成签到,获得积分10
2秒前
3秒前
大个应助孝顺的灵萱采纳,获得10
4秒前
lyayaru完成签到,获得积分20
4秒前
feiying完成签到,获得积分10
7秒前
8秒前
8秒前
星空完成签到 ,获得积分10
10秒前
baihehuakai完成签到 ,获得积分10
12秒前
周志航发布了新的文献求助10
13秒前
13秒前
merry6669完成签到 ,获得积分10
14秒前
15秒前
AKKKK发布了新的文献求助10
15秒前
怜熙完成签到 ,获得积分10
16秒前
bkagyin应助炙热晓露采纳,获得10
17秒前
涤尘完成签到,获得积分10
19秒前
20秒前
24秒前
热情岂愈完成签到,获得积分10
27秒前
酷酷的麦片完成签到,获得积分10
27秒前
28秒前
科研通AI5应助俭朴依丝采纳,获得10
29秒前
30秒前
ohnk发布了新的文献求助10
30秒前
斯文觅珍完成签到,获得积分10
30秒前
开心的茗茗完成签到 ,获得积分10
33秒前
33秒前
独特纸飞机完成签到 ,获得积分10
34秒前
陈江河发布了新的文献求助10
34秒前
34秒前
36秒前
guo完成签到 ,获得积分10
37秒前
隐形曼青应助周志航采纳,获得10
37秒前
111发布了新的文献求助10
39秒前
su完成签到 ,获得积分10
40秒前
40秒前
褚友菱完成签到 ,获得积分10
41秒前
41秒前
42秒前
高分求助中
Organic Chemistry 20086
(应助此贴封号)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Voyage au bout de la révolution: de Pékin à Sochaux 700
yolo算法-游泳溺水检测数据集 500
First Farmers: The Origins of Agricultural Societies, 2nd Edition 500
Metals, Minerals, and Society 400
International socialism & Australian labour : the Left in Australia, 1919-1939 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4293606
求助须知:如何正确求助?哪些是违规求助? 3820089
关于积分的说明 11961780
捐赠科研通 3463184
什么是DOI,文献DOI怎么找? 1899642
邀请新用户注册赠送积分活动 947860
科研通“疑难数据库(出版商)”最低求助积分说明 850512