Suppr超能文献

《回顾性研究:大流行前合并症与 SARS-CoV-2 感染及黑人群体与白人群体中住院治疗的关系》。

The Relationship Between Pre-Pandemic Comorbidities With SARS-CoV-2 Infections and Hospitalizations in Black Versus White Military Service Members: A Retrospective Study.

机构信息

Diabetes Center Of Excellence, Endocrinology Department, Brooke Army Medical Center, Fort Sam Houston, TX 78234, USA.

Science and Technology, 59 Medical Wing, US Air Force, JBSA-Lackland, San Antonio, TX 78236, USA.

出版信息

Mil Med. 2024 Aug 19;189(Suppl 3):814-822. doi: 10.1093/milmed/usae294.

Abstract

INTRODUCTION

Comorbidities such as hypertension, diabetes mellitus, asthma, and cardiovascular conditions have been reported to worsen the clinical progression of coronavirus disease 2019 (COVID-19) and related hospitalizations. Furthermore, the COVID-19 pandemic has disproportionately affected the historically marginalized groups, i.e., Black, Hispanic, and Asian individuals have substantially higher rates of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection, COVID-19 hospitalization, and death compared to White individuals. Despite these findings in civilian populations, the impact of comorbidities and race in SARS-CoV-2 infection and COVID-19 hospitalizations in military populations is unknown. We evaluated the relationship of pre-selected pre-pandemic comorbidities and race with SARS-CoV-2 infections and COVID-19 hospitalizations in U.S. military service members (SMs).

MATERIALS AND METHODS

We conducted a systematic review of Military Health System beneficiaries' records by accessing the Defense Medical Epidemiological Database. Our inclusion criteria were being an active duty SM and having at least one pre-COVID-19 pandemic comorbidity. Retired as well as uninfected healthy active duty SMs and beneficiaries were excluded from the study. A total population of 1.334 million active duty SM records was drawn from Defense Medical Epidemiological Database. The data were stratified, by race (primary outcome), as well as gender, age, and military service branches (secondary outcomes).

RESULTS

We found higher trends in SARS-CoV-2 infection and COVID-19 hospitalization rates in Black compared to White SMs. This seamless inequality was also seen in other viral infections affecting SMs including human immunodeficiency virus and viral hepatitis. We hypothesized this disparity to some extent be associated with the presence of pre-pandemic comorbidities that is affecting this military subpopulation. Supporting our hypothesis, we found trends toward the higher pre-pandemic prevalence of diabetes mellitus, asthma, hypertension, and ischemic heart disease, in Black compared to White military SMs, especially in Black older male adults.

CONCLUSION

Our results highlight the role of pre-pandemic comorbidities and race likely enhancing the frequency of SARS-CoV-2 infections and COVID-19 hospitalizations in military SMs. These preliminary findings underscore the need for future retrospective studies using additional Military Health System data bases reporting data on this military subpopulation, especially in the setting of future pathogens outbreaks or pandemics affecting military populations.

摘要

简介

高血压、糖尿病、哮喘和心血管疾病等合并症已被报道会使 2019 年冠状病毒病(COVID-19)的临床进展恶化,并导致相关住院治疗。此外,COVID-19 大流行不成比例地影响了历史上处于边缘地位的群体,即黑人、西班牙裔和亚洲人感染严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)、COVID-19 住院和死亡的比率明显高于白人。尽管在平民人群中发现了这些结果,但在军事人群中,合并症和种族对 SARS-CoV-2 感染和 COVID-19 住院的影响尚不清楚。我们评估了在美国军人(SM)中预先选定的大流行前合并症和种族与 SARS-CoV-2 感染和 COVID-19 住院之间的关系。

材料和方法

我们通过访问国防医疗流行病学数据库,对军事卫生系统受益人的记录进行了系统审查。我们的纳入标准是现役军人,并且至少有一种大流行前的合并症。我们排除了退休人员和未感染的现役健康军人以及受益人员。从国防医疗流行病学数据库中抽取了 1334000 名现役军人的总记录。数据按种族(主要结果)以及性别、年龄和军事服务分支(次要结果)分层。

结果

我们发现,与白人军人相比,黑人军人中 SARS-CoV-2 感染和 COVID-19 住院率呈上升趋势。在影响军人的其他病毒感染(包括人类免疫缺陷病毒和病毒性肝炎)中也出现了这种无缝不平等现象。我们假设这种差异在一定程度上与影响这一军事群体的大流行前合并症的存在有关。支持我们的假设,我们发现与白人相比,黑人军人中糖尿病、哮喘、高血压和缺血性心脏病等大流行前合并症的患病率呈上升趋势,尤其是在黑人老年男性中。

结论

我们的结果强调了大流行前合并症和种族的作用,可能会增加军人中 SARS-CoV-2 感染和 COVID-19 住院的频率。这些初步发现强调了未来需要使用报告有关这一军事群体的数据的其他军事卫生系统数据库进行回顾性研究的必要性,特别是在未来影响军事人群的病原体爆发或大流行的情况下。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验