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美国亚裔和太平洋岛民群体在新冠病毒检测和结果方面的差异:在一个大型医疗保健系统中的观察性研究。

Disparities in COVID-19 testing and outcomes among Asian American and Pacific Islanders: an observational study in a large health care system.

机构信息

Palo Alto Medical Foundation Research Institute, Center for Health Systems Research, Sutter Health, 795 El Camino Real, Palo Alto, CA, 94301, USA.

Stanford University School of Medicine, Stanford, USA.

出版信息

BMC Public Health. 2023 Feb 6;23(1):251. doi: 10.1186/s12889-023-15089-w.

Abstract

BACKGROUND

The COVID-19 pandemic has disproportionately impacted racial and ethnic minorities in the United States, including Asian Americans, Native Hawaiians and Pacific Islanders (Asian Americans and NH/PIs). However, few studies have highlighted nor disaggregated these disparities by Asian Americans and NH/PIs ethnic subgroups.

METHODS

This retrospective, cross-sectional observational study aimed to assess variation of Asian Americans and NH/PIs COVID-19 testing and outcomes compared to non-Hispanic Whites (NHW). The study utilized data from the electronic health records (EHR) and the COVID-19 Universal Registry for Vital Evaluations (CURVE) from all patients tested for SARS-CoV-2 (n = 556,690) at a large, health system in Northern and Central California between February 20, 2020 and March 31, 2021. Chi-square tests were used for testing differences in the severity of COVID-19 (hospitalization, ICU admission, death) and patient demographic and clinical characteristics across the Asian Americans and NH/PIs subgroups and NHW. Unadjusted and adjusted Odds Ratios (ORs) were estimated for measuring effect of race ethnicity on severity of COVID-19 using multivariable logistic regression.

RESULTS

Of the entire tested population, 70,564/556,690 (12.7%) tested positive for SARS-CoV-2. SARS-CoV-2 positivity of Asian subgroups varied from 4% in the Chinese and Korean populations, to 11.2%, 13.5%, and 12.5% for Asian Indian, Filipino, and "other Asian" populations respectively. Pacific Islanders had the greatest subgroup test positivity at 20.1%. Among Asian Americans and NH/PIs patients with COVID-19 disease, Vietnamese (OR = 2.06, 95% CI = 1.30-3.25), "Other Asian" (OR = 2.13, 95% CI = 1.79-2.54), Filipino (OR = 1.78, 95% CI = 1.34-2.23), Japanese (OR = 1.78, 95% CI = 1.10-2.88), and Chinese (OR = 1.73, 95% CI = 1.34-2.23) subgroups had almost double the odds of hospitalization compared to NHW. Pacific Islander (OR = 1.58, 95% CI = 1.19-2.10) and mixed race subgroups (OR = 1.55, 95% CI = 1.10-2.20) had more than one and a half times odds of hospitalization compared to NHW. Adjusted odds of ICU admission or death among hospitalized patients by different Asian subgroups varied but were not statistically significant.

CONCLUSIONS

Variation of COVID-19 testing and hospitalization by Asian subgroups was striking in our study. A focus on the Asian Americans and NH/PIs population with disaggregation of subgroups is crucial to understand nuances of health access, utilization, and outcomes among subgroups to create health equity for these underrepresented populations.

摘要

背景

COVID-19 大流行在美国对少数族裔造成了不成比例的影响,包括亚裔美国人、夏威夷原住民和太平洋岛民(亚裔美国人和 NH/PIs)。然而,很少有研究突出或细分亚裔美国人和 NH/PIs 族裔群体的这些差异。

方法

本回顾性、横断面观察性研究旨在评估与非西班牙裔白人(NHW)相比,亚裔美国人和 NH/PIs 的 COVID-19 检测和结果的差异。该研究利用了来自北加州和中加州一个大型医疗系统在 2020 年 2 月 20 日至 2021 年 3 月 31 日期间对所有接受 SARS-CoV-2 检测的患者(n=556,690)的电子健康记录(EHR)和 COVID-19 通用评估登记(CURVE)数据。卡方检验用于检测不同亚裔美国人和 NH/PIs 亚组和 NHW 之间 COVID-19 严重程度(住院、重症监护病房入院、死亡)和患者人口统计学和临床特征的差异。使用多变量逻辑回归估计未调整和调整后的优势比(OR),以衡量种族和族裔对 COVID-19 严重程度的影响。

结果

在整个接受检测的人群中,70,564/556,690(12.7%)的人 SARS-CoV-2 检测呈阳性。亚裔亚组的 SARS-CoV-2 阳性率从中国和韩国人群的 4%到印度裔、菲律宾裔和“其他亚裔”人群的 11.2%、13.5%和 12.5%不等。太平洋岛民的亚组检测阳性率最高,为 20.1%。在患有 COVID-19 疾病的亚裔美国人和 NH/PIs 患者中,越南裔(OR=2.06,95%CI=1.30-3.25)、“其他亚裔”(OR=2.13,95%CI=1.79-2.54)、菲律宾裔(OR=1.78,95%CI=1.34-2.23)、日本裔(OR=1.78,95%CI=1.10-2.88)和华裔(OR=1.73,95%CI=1.34-2.23)亚组的住院几率几乎是 NHW 的两倍。与 NHW 相比,太平洋岛民(OR=1.58,95%CI=1.19-2.10)和混合种族亚组(OR=1.55,95%CI=1.10-2.20)的住院几率高出一倍半。不同亚裔亚组住院患者 ICU 入院或死亡的调整优势比有所不同,但无统计学意义。

结论

本研究中,不同亚裔亚组 COVID-19 检测和住院率的差异引人注目。重点关注亚裔美国人和 NH/PIs 人群,并对亚组进行细分,对于了解亚组在获得医疗服务、利用和结果方面的细微差别,为这些代表性不足的人群创造公平的医疗机会至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d05/9901110/25b655b78498/12889_2023_15089_Fig1_HTML.jpg

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