关键词: COVID-19 adults comorbidity ethnic groups minority groups mortality

来  源:   DOI:10.3390/idr16030030   PDF(Pubmed)

Abstract:
(1) Current literature on ethnic minorities, comorbidities, and COVID-19 tends to investigate these factors separately, leaving gaps in our understanding about their interactions. Our review seeks to identify a relationship between ethnicity, comorbidities, and severe COVID-19 outcomes (ICU admission and mortality). We hope to enhance our understanding of the various factors that exacerbate COVID-19 severity and mortality in ethnic minorities in Canada and the USA. (2) All articles were received from PubMed, Scopus, CINAHL, and Ovid EMBASE from November 2020 to June 2022. Included articles contain information regarding comorbidities among ethnic minorities in relation to COVID-19 severity and mortality. (3) A total of 59 articles were included that examined various ethnic groups, including Black/African American, Asian, Hispanic, White/Caucasian, and Indigenous people. We found that the most examined comorbidities were diabetes, hypertension, obesity, and chronic kidney disease. A total of 76.9% of the articles (40 out of 52) found a significant association between different races and COVID-19 mortality, whereas 21.2% of the articles (11 out of 52) did not. (4) COVID-19 ICU admissions and mortality affect various ethnic groups differently, with Black patients generally having the most adverse outcomes. These outcomes may also interact with sex and age, though more research is needed assessing these variables together with ethnicity.
摘要:
(1)当前关于少数民族的文献,合并症,COVID-19倾向于分别调查这些因素,在我们对它们相互作用的理解中留下了空白。我们的审查旨在确定种族之间的关系,合并症,和严重的COVID-19结局(ICU入院和死亡率)。我们希望加强对加拿大和美国少数民族中加剧COVID-19严重程度和死亡率的各种因素的理解。(2)所有文章均来自PubMed,Scopus,CINAHL,和OvidEMBASE从2020年11月到2022年6月。收录的文章包含有关少数民族合并症与COVID-19严重程度和死亡率相关的信息。(3)共纳入59篇文章,研究了各种民族,包括黑人/非裔美国人,亚洲人,西班牙裔,白人/高加索人,和土著人民。我们发现检查最多的合并症是糖尿病,高血压,肥胖,和慢性肾病。共有76.9%的文章(52篇中的40篇)发现不同种族与COVID-19死亡率之间存在显著关联,而21.2%的文章(52篇中的11篇)没有。(4)COVID-19ICU入院率和死亡率对不同民族的影响不同,黑人患者通常有最不利的结果。这些结果也可能与性别和年龄有关,尽管需要更多的研究来评估这些变量和种族。
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