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Endocrine and metabolic changes associated with the use of antiretroviral medication in people living with HIV/AIDS: characterization and development of intelligent algorithms applied for its identification and prediction

Grant number: 13/18158-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): November 01, 2014
Effective date (End): April 30, 2017
Field of knowledge:Health Sciences - Collective Health - Epidemiology
Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal Investigator:Aluisio Augusto Cotrim Segurado
Grantee:Alex Jones Flores Cassenote
Home Institution: Faculdade de Medicina (FM). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Introduction: the advent of highly active antiretroviral therapy was observed profound impact on the natural history of HIV infection. Thus, the use of combination therapies containing different classes of drugs promoted a significant and sustained suppression of viral replication, increasing the survival and quality of life in AIDS patients. Admittedly this therapy has led many of the observed changes in the pattern of disease by introducing new phenomena, so the continuous surveillance of emerging standards is so vital. The pathophysiologic mechanism of metabolic changes in HIV/AIDS patients is still not fully understood and therefore consensus specific to your treatment are not yet available for proper orientation of health professionals. Objectives: this proposal aims to analyze and characterize the endocrine and metabolic changes associated with the use of antiretroviral drugs in people living with HIV/AIDS and developing intelligent computational algorithms aiming its identification and prediction. Methods: data from a retrospective cohort study to assess the heath damage from the use of antiretroviral drugs for people living with HIV/AIDS will be used. Kaplan Mayer and Cox regression will be used to characterize the time until the occurrence of metabolic and endocrine disorders, as well as the impact of the factors associated with these disorders. Linguistic model using fuzzy logic is built by means of computational rules using operators such as "AND" e "OR" to connect the antecedent situation with the consequent respose. The paraconsistent artificial neural network (PANN) will be developed in accordance with the pattern of occurrence of metabolic and endocrine disorders and associated factors; it will be structured in layers connected to each other for better management of information. The algorithms are constructed with portion of 50% of subjects in the database and the remaining records are used to the respective tests. The tests are performed on the accuracy of the algorithms compared with the results observed in the original database. Expected results: we hope that the intelligent algorithms applied to the identification and prediction of endocrine and metabolic changes may serve as a support tool to help health professionals to minimize the uncertainties about these changes, maximizing their power of decision-making based on statistical evidence and the expertise from specialists. (AU)

Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FLORES CASSENOTE, ALEX JONES; GRANGEIRO, ALEXANDRE; ESCUDER, MARIA MERCEDES; ABE, JAIR MINORO; COTRIM SEGURADO, ALUISIO AUGUSTO. Validation of CD4(+) T-cell and viral load data from the HIV-Brazil Cohort Study using secondary system data. BMC INFECTIOUS DISEASES, v. 18, DEC 4 2018. Web of Science Citations: 0.
SCHEFFER, MARIO CESAR; FLORES CASSENOTE, ALEX JONES; ALVES GUILLOUX, ALINE GIL; DAL POZ, MARIO ROBERTO. Internal migration of physicians who graduated in Brazil between 1980 and 2014. HUMAN RESOURCES FOR HEALTH, v. 16, MAY 2 2018. Web of Science Citations: 1.
MIOTTO, BRUNO ALONSO; ALVES GUILLOUX, ALINE GIL; FLORES CASSENOTE, ALEX JONES; MAINARDI, GIULIA MARCELINO; RUSSO, GIULIANO; SCHEFFER, MARIO CESAR. Physician's sociodemographic profile and distribution across public and private health care: an insight into physicians' dual practice in Brazil. BMC HEALTH SERVICES RESEARCH, v. 18, APR 23 2018. Web of Science Citations: 2.
HADDAD, LUCIANA; FLORES CASSENOTE, ALEX JONES; ANDRAUS, WELLINGTON; DE MARTINO, RODRIGO BRONZE; DE SIQUEIRA ORTEGA, NELI REGINA; ABE, JAIR MINORO; CARNEIRO D'ALBUQUERQUE, LUIZ AUGUSTO. Factors Associated with Mortality and Graft Failure in Liver Transplants: A Hierarchical Approach. PLoS One, v. 10, n. 8 AUG 14 2015. Web of Science Citations: 10.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)

Please report errors in scientific publications list by writing to: cdi@fapesp.br.