Clinical characteristics and disease course before and after SARS-CoV-2 infection in a large cohort of systemic sclerosis patients
Rattachement africain : us, tr, fi, ag, kh. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Background/aim: The objective of this study is to evaluate the clinical presentations and adverse outcomes of Coronavirus Disease 2019 (COVID-19) in patients with systemic sclerosis (SSc) and assess the impact of SSc features on the clinical course of COVID-19. Materials and methods: In this multicenter, retrospective study, SSc patients with COVID-19 were included. Clinical features of SSc, along with detailed COVID-19 data, were extracted from medical records and patient interviews. Results: The study included 112 patients (mean age 51.4 ± 12.8 years; 90.2% female). SSc-associated interstitial lung disease (ILD) was evident in 57.1% of the patients. The findings revealed hospitalization in 25.5%, respiratory support in 16.3%, intensive care unit admission in 3.6%, and a mortality rate of 2.7% among SSc patients with COVID-19. Risk factors for respiratory failure, identified through univariate analysis, included ILD (OR: 7.49, 95% CI: 1.63-34.46), ≥1 comorbidity (OR: 4.55, 95% CI: 1.39-14.88), a higher physician global assessment score at the last outpatient visit (OR 2.73, 95% CI: 1.22-6.10), and the use of mycophenolate at the time of infection (OR: 5.16, 95 %CI: 1.79-14.99). Notably, ≥1 comorbidity emerged as the sole significant predictor of the need for respiratory support in COVID-19 (OR: 5.78, 95% CI: 1.14-29.23). In the early post-COVID-19 period, 17% of patients reported the progression of the Raynaud phenomenon, and 10.6% developed new digital ulcers. Furthermore, progression or new onset of dyspnea and cough were detected in 28.3% and 11.4% of patients, respectively. Conclusion: This study suggests a potential association between adverse outcomes of COVID-19 and SSc-related ILD, severe disease activity, and the use of mycophenolate. Additionally, it highlights that having comorbidities is an independent risk factor for the need for respiratory support in COVID-19 cases.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Clinical characteristics and disease course before and after SARS-CoV-2 infection in a large cohort of systemic sclerosis patients
- Date Crossref
- 01/01/2024
- Éditeur
- The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Center for Rheumatology pays non établi dans la noticeStructure de recherche
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Gazi University Department of Internal Medicine pays non établi dans la noticeUniversité ou école supérieure
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Hacettepe University pays non établi dans la noticeUniversité ou école supérieure
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University of Turku pays non établi dans la noticeUniversité ou école supérieure
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Turkish Armed Forces pays non établi dans la noticeOrganisme public
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Memorial Ankara Hospital pays non établi dans la noticeÉtablissement de santé
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Istanbul University pays non établi dans la noticeUniversité ou école supérieure
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Sağlık Bilimleri Üniversitesi pays non établi dans la noticeUniversité ou école supérieure
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University of Health Sciences Antigua Department of Rheumatology pays non établi dans la noticeUniversité ou école supérieure
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Ankara University pays non établi dans la noticeUniversité ou école supérieure
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University of Health Science pays non établi dans la noticeUniversité ou école supérieure
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National Human Genome Research Institute Inflammatory Disease Section pays non établi dans la noticeStructure de recherche
Center for Rheumatology, Department of Internal Medicine — Gazi University et Hacettepe University, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.