Fibromyalgia (FM) is a chronic musculoskeletal pain syndrome with characteristics of generalized body pain, low pain threshold, tenderness and stiffness in muscles, tendons and joints. The assessment of pain in this condition is a challenge due to its subjective nature. A promising approach to assessing pain intensity is facial expression analysis, which can serve as an objective indicator. In addition, research seeks to identify molecular molecular markers to quantify pain. However, the lack of a standardized system has made it difficult to identify reliable markers. In summary, the search for objective methods of assessing pain in fibromyalgia is essential in order to develop more effective more effective treatments. Facial expression analysis and the investigation of molecular markers are promising ways of quantifying pain intensity more accurately and intensity of pain more accurately and reliably in fibromyalgia.
The inclusion criteria are patients with no diagnosed cognitive deficit and who are willing to take part in the study.
Exclusion criteria are patients who use medication that can affect anxiety or depression or inability to understand the instructions.
The study will be carried out with adult patients aged between 18 and 65 diagnosed with fibromyalgia at the outpatient clinic of the Faculdade Ciências Médicas de Minas Gerais and Clínica Ampla de Reumatologia in Belo Horizonte. The inclusion criteria were patients with no diagnosed cognitive deficit and who were willing to take part in the study. The exclusion criteria are patients who use medication that can affect anxiety or depression or who are unable to understand the instructions. Thus, once the patients agree to participate, they will be asked to sign the Informed Consent Form (ICF), which will provide detailed information about the nature of the study, the criteria for participation, the possible risks and benefits involved.
Cohort
Cross-sectional
Not listed
Use the artificial intelligence tool to analyze the facial expression of patients with fibromyalgia in order to recognize pain.
Use the artificial intelligence tool to analyze the facial expression of patients with fibromyalgia in order to recognize pain. 61 patients with fibromyalgia will be compared with 61 patients without fibromyalgia.
Biochemical analysis of biomarkers in the detection of pain in fibromyalgia.
122 samples containing 1ml of saliva will be collected in order to check for changes in oxidative stress and nociceptive markers (by spectrophotometry and ELISA).
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Faculdade de Ciências Médicas de Minas Gerais
Lead sponsor
Fundação de Amparo à Pesquisa do estado de Minas Gerais
Collaborator
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Collaborator
