Banca de DEFESA: JOÃO OCTÁVIO SALES PASSOS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : JOÃO OCTÁVIO SALES PASSOS
DATE: 10/08/2020
TIME: 09:00
LOCAL: Videoconferência
TITLE:

 BIOSPECTROSCOPY AND MULTIVARIED CLASSIFICATION TECHNIQUES AS A NEW SCREENING TOOL FOR FIBROMYALGIA: IMPROVING THE DIAGNOSIS TO POTENTIALIZE FUNCTIONALITY


KEY WORDS:

Fibromyalgia, spectral analysis, diagnosis, catastrophizing, pain, kinesiophobia


PAGES: 60
BIG AREA: Ciências da Saúde
AREA: Fisioterapia e Terapia Ocupacional
SUMMARY:

The American College of Rheumatology (ACR) presented in 2010 a consensus for the diagnosis of fibromyalgia (FM). However, they can use an assessment and diagnosis guide as there are many cases of underdiagnosis or false diagnosis. This causes a lack of chemical, immunological markers or tests for FM detection. This project aims to use biospectroscopy (spectroscopy without infrared) and multivariate classification techniques as new technologies for the identification of FM, using only blood plasma as the material of analysis. This is a cross-sectional analytical study with 126 members divided into the Fibromyalgia group and the control group. For all subjects, a sociodemographic questionnaire was applied, collected clinical data on the impact of FM, investigated with pain intensity, anxiety levels, quality of life; as well as a collection of 10 ml of blood from each participant. Analysis of their blood plasma using attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy in conjunction with chemometric techniques, hence, providing a low-cost, fast and accurate diagnostic approach. Different chemometric algorithms were tested to classify the spectral data; genetic algorithm with linear discriminant analysis (GA-LDA) achieved the best diagnostic results with a sensitivity of 89.5% in an external test set. The GA-LDA model identified 24 spectral wavenumbers responsible for class separation; amongst these, the Amide II (1545 cm-1) and proteins (1425 cm-1) were identified to be discriminant features. Clinical data showed significant difference between groups in FIQ (p = 0.0001), anxiety (p = 0.001), pain (p = 0.0001) and quality of life (p = 0.0001). These results reinforce the potential of ATR-FTIR spectroscopy with multivariate analysis as a new tool to screen and detect patients with fibromyalgia in a fast, low-cost, non-destructive and minimally invasive fashion.


BANKING MEMBERS:
Presidente - 2646619 - RODRIGO PEGADO DE ABREU FREITAS
Externa ao Programa - 2613606 - SANDRA CRISTINA DE ANDRADE
Externa à Instituição - ALINE RANZOLIN - UFPE
Notícia cadastrada em: 31/07/2020 10:06
SIGAA | Superintendência de Informática - | | Copyright © 2006-2020 - UFRN - sigaa28-producao.info.ufrn.br.sigaa28-producao