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Objectives: During the COVID-19 pandemic, there was a significant impact on the management of non-COVID-19 related diseases, potentially increasing the incidence of paraneoplastic syndromes such as cancer-associated myositis (CAM).The aim of this study is to determine the incidence of CAM in our cohort before and after the COVID-19 pandemic onset.
Methods: We included patients with idiopathic inflammatory myopathy (IIM), diagnosed between June 2016 and June 2023. The patients were divided into two groups according to the date of IIM diagnosis.
Results: We included 132 patients; 65.1% (n=86) were diagnosed prior to and 34.9% (n=46) after the COVID-19 pandemic. The most common IIM was dermatomyositis (DM) before and after the COVID-19 pandemic onset (p=0.750). The most frequent myositis-specific antibody (MSA) before the COVID-19 pandemic was anti-Mi2 (15.1%). After the COVID-19 pandemic onset, anti-TIF1γ was the most common MSA (21.7%), with a significantly higher relative prevalence (p=0.006). The incidence of CAM was significantly higher after the COVID-19 pandemic onset (11 vs. 3 new cases, p<0.002). Patients with CAM more frequently had anti-TIF1γ-positivity (p<0.001) and a diagnosis after the pandemic (p=0.001) than non-CAM-IIM patients. No significant differences were found regarding vaccination status or previous COVID-19 infection in CAM and non-CAM-IIM patients. Diagnosis after the COVID-19 pandemic was an independent predictor of CAM among IIM patients (OR 0.012, 95% CI 0.000-0.400, p=0.013), regardless of age, sex or previous COVID-19 infection.
Conclusions: There was a significant increase in the incidence of CAM after the COVID-19 pandemic. IIM diagnosis after the COVID-19 pandemic was an independent predictor of CAM.
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http://dx.doi.org/10.55563/clinexprheumatol/jv9ey8 | DOI Listing |
J Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.
JAMA Netw Open
September 2025
Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Importance: Long COVID (ie, post-COVID-19 condition) is a substantial public health concern, and its association with health-related social needs, such as food insecurity, remains poorly understood. Identifying modifiable risk factors like food insecurity and interventions like food assistance programs is critical for reducing the health burden of long COVID.
Objective: To investigate the association of food insecurity with long COVID and to assess the modifying factors of Supplemental Nutrition Assistance Program (SNAP) participation and employment status.
JAMA Netw Open
September 2025
Centre de recherche intégrée pour un système apprenant en santé et services sociaux, Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, Québec, Canada.
Importance: Caregivers of community-dwelling older adults play a protective role in emergency department (ED) care transitions. When the demands of caregiving result in caregiver burden, ED returns can ensue.
Objective: To develop models describing whether caregiver burden is associated with ED revisits and hospital admissions up to 30 days after discharge from an initial ED visit.