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Background: Corona virus disease 2019 (COVID-19) reinfection, particularly short-term reinfection, poses challenges to the management of rheumatic diseases and may increase adverse clinical outcomes. This study aims to develop machine learning models to predict and identify the risk of short-term COVID-19 reinfection in patients with rheumatic diseases.

Methods: We developed four prediction models using explainable machine learning to assess the risk of short-term COVID-19 reinfection in 543 patients with rheumatic diseases.

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Structured and prompt treatment of early arthritis in clinical practice leverages window of opportunity and leads to excellent clinical outcomes: an innovative retrospective cohort study.

Clin Rheumatol

December 2024

Rheumatology Department, Unidade Local de Saúde de Santa Maria, Centro Académico de Medicina de Lisboa, Av. Prof. Egas Moniz MB, 1649-028, Lisbon, Portugal.

Objectives: With this work, we evaluated the impact of the Lisbon Early ARthritis cliNic (LEARN) on untreated inflammatory arthritis clinical and patient-reported outcomes.

Methods: A retrospective cohort study enrolled patients in LEARN since its inception. Patients were followed for 12 months and treated to achieve disease remission.

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Cancer-related fatigue and activities of daily living: lessons learned from the COVID-19 pandemic.

BMC Palliat Care

April 2024

Universidad Pontificia Comillas, Health Sciences Department, Madrid, Spain.

Background: Cancer-related fatigue is a prevalent condition in all stages of oncologic disease that is poorly diagnosed, with a negative impact on physical function to perform activities of daily living. Fatigue is also one of the main manifestations in post-COVID-19 syndrome, and few studies have explored the functionality of cancer patients after infection by the new coronavirus. This study was designed to assess cancer-related fatigue symptoms and their implications on physical function and quality of life during the pandemic.

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Background: Cancer-related fatigue (CRF) is still undertreated in most patients, as evidence for pharmacological treatments is limited and conflicting. Also, the efficacy of the pharmacological agents relative to each other is still unclear. Therefore, medications that may potentially contribute to improving CRF will be investigated in this head-to-head trial.

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Background: While studies in palliative care use measures of spirituality and religious belief, there have been few validation studies of a screening tool that identifies unmet spiritual needs.

Methods: A multidisciplinary research team developed and examined the usefulness, reliability and validity of a 17-item Spiritual Concerns Checklist (SCC) as a screening tool for unmet spiritual needs. A cohort of patients recruited from three palliative care services in Sydney and Melbourne, Australia completed anonymous questionnaires.

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