Leveraging the United States Epicenter to Provide Insights on COVID-19 in Patients With Systemic Lupus Erythematosus

利用美国疫情中心为系统性红斑狼疮患者的 COVID-19 提供见解

阅读:1

Abstract

OBJECTIVE: To characterize patients with systemic lupus erythematosus (SLE) affected by coronavirus disease 2019 (COVID-19) and to analyze associations of comorbidities and medications on infection outcomes. METHODS: Patients with SLE and reverse transcriptase-polymerase chain reaction-confirmed COVID-19 were identified through an established New York University lupus cohort, query of 2 hospital systems, and referrals from rheumatologists. Data were prospectively collected via a web-based questionnaire and review of medical records. Data on baseline characteristics were obtained for all patients with COVID-19 to analyze risk factors for hospitalization. Data were also collected on asymptomatic patients and those with COVID-19-like symptoms who tested negative or were not tested. Statistical analyses were limited to confirmed COVID-19-positive patients. RESULTS: A total of 226 SLE patients were included: 41 with confirmed COVID-19, 19 who tested negative for COVID-19, 42 with COVID-19-like symptoms who did not get tested, and 124 who remained asymptomatic without testing. Of the SLE patients with confirmed COVID-19, hospitalization was required in 24 (59%) and intensive care unit-level of care in 4, and 4 died. Hospitalized patients tended to be older, nonwhite, Hispanic, have higher body mas index (BMI), history of nephritis, and at least 1 comorbidity. An exploratory (due to limited sample size) logistic regression analysis identified race, presence of at least 1 comorbidity, and BMI as independent predictors of hospitalization. CONCLUSION: In general, the variables predictive of hospitalization in our SLE patients were similar to those identified in the general population. Further studies are needed to understand additional risk factors for poor COVID-19 outcomes in patients with SLE.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。