Publications by authors named "M Manczak"

Background: The coronavirus disease 2019 (COVID-19) pandemic has significantly accelerated the development and use of new healthcare technologies. While younger individuals may have been able to quickly embrace virtual advancements, older adults may still have different needs in terms of health communication.

Objectives: To identify areas of interest and preferred sources of information related to the COVID-19 pandemic among older adults and to verify their eHealth competencies.

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Introduction: Amyloidosis is a heterogeneous group of conditions associated with tissue deposition of insoluble abnormal proteins that damage vital organs. Early diagnosis, when the deposits are minimal, determines the prognosis and requires histological confirmation. The commonly adopted gold standard technique is alkaline Congo red (ACR) staining, though its sensitivity is limited.

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This single-center retrospective study aimed to evaluate the safety and efficacy of Tocilizumab (TOC) in children with polyarticular (pJIA) and systemic juvenile idiopathic arthritis (sJIA) who exhibited inadequate responses to disease-modifying antirheumatic drugs (DMARDs) and biological modifiers (bDMARDs). Conducted at the Department of Pediatric Rheumatology, National Institute of Geriatrics, Rheumatology, and Rehabilitation in Warsaw, Poland, between 2018 and 2022, the study enrolled 29 patients diagnosed with JIA based on International League of Associations for Rheumatology (ILAR) criteria. The cohort comprised 13 sJIA and 16 pJIA patients, aged 2-18 years, receiving TOC treatment for 24 months.

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Atlantoaxial instability is the most common cervical instability in patients with rheumatoid arthritis (RA). Its course may differ in different patients and may have different degrees of severity and symptoms. There are a number of studies on systemic factors associated with the development of this instability, but there are few publications in the scientific literature on the influence of biomechanical factors on the development of cervical instability.

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Background: Chatbots using the Large Language Model (LLM) generate human responses to questions from all categories. Due to staff shortages in healthcare systems, patients waiting for an appointment increasingly use chatbots to get information about their condition. Given the number of chatbots currently available, assessing the responses they generate is essential.

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