[COVID-19疫苗在系统性硬化症患者中的疗效和感染特征:单中心队列研究]。

Q3 Medicine 北京大学学报(医学版) Pub Date : 2024-12-18
Wei Pan, Yun Li, Junjia Luo, Chun Li, Hua Ye, Xue Li, Yuan Jia
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[COVID-19 vaccines efficacy and infection features in patients with systemic sclerosis: A single-center cohort study].

Objective: To comprehensively understand the COVID-19 vaccination and infection status among patients with systemic sclerosis (SSc).

Methods: We conducted a retrospective analysis of patients diagnosed with SSc who were hospitalized in the Rheumatology and Immunology Department of Peking University People' s Hospital from January 2016 to March 2023. We collected detailed clinical cha-racteristics, vaccination status, and infection details through a systematic review of medical records and telephone follow-ups with the SSc patients.

Results: Out of 236 identified patients, 99 SSc patients participated in the follow-up. This cohort included 41 patients with limited SSc, 28 with diffuse SSc, and 30 with SSc overlap syndromes. Treatments varied, with glucocorticoids administered to 57.58% of patients, immunosuppressants to 56.57%, biologic agents to 7.07%, and small molecule targeted therapies to 6.06%. Notably, 49 patients had received the COVID-19 vaccine. Between November 2022 and March 2023, a total of 81 patients contracted COVID-19. The infection rate among those who received three doses or more (19/29, 65.5%) was significantly lower compared with unvaccinated patients (45/50, 90.0%, P=0.007). Fourteen of these patients required hospitalization due to COVID-19. Furthermore, 26 patients reported exacerbation of SSc symptoms post-infection, which included severe manifestations, such as Raynaud phenomenon, skin lesions, fingertip ulcers, pulmonary hypertension, and interstitial lung disease. Compared with healthy cohabitants, the SSc patients exhibited more severe symptoms following COVID-19, including fever (36.71%) and fatigue (35.44%). Multivariate regression analysis identified subcutaneous calcinosis (OR=7.713, 95%CI: 1.142-45.051) and positivity for anti-centromere antibodies (OR=9.210, 95%CI: 1.211-70.028) as independent risk factors for hospitalization due to COVID-19.

Conclusion: Vaccination is both effective and safe in preventing COVID-19 among SSc patients. Additionally, it underscores that these patients experience exacerbation of their underlying disease and more severe COVID-19 symptoms compared with individuals without underlying conditions. Thus, proactive prevention, continuous monitoring, and early treatment of COVID-19 are of significant importance for the health and well-being of SSc patients. Timely interventions can help mitigate the impact of infections and improve overall patient outcomes.

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来源期刊
北京大学学报(医学版)
北京大学学报(医学版) Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
9815
期刊介绍: Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases. The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.
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