| Grant number: | 18/07587-0 |
| Support Opportunities: | Scholarships in Brazil - Master |
| Start date: | July 01, 2018 |
| End date: | February 29, 2020 |
| Field of knowledge: | Health Sciences - Physiotherapy and Occupational Therapy |
| Agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | Luiz Carlos Marques Vanderlei |
| Grantee: | Felipe Ribeiro |
| Host Institution: | Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil |
Abstract INTRODUCTION: Cardiac rehabilitation programs (PRC) are favorable in controlling cardiovascular risk factors, reducing the incidence of new coronary events, and decreasing mortality rates. However, because of their functioning based on physical exercise, they may be associated with the risk of signs and symptoms arising during its development. In this sense, investigating possible factors that may predict the possibility of intercurrences during CRP sessions, such as stratification of cardiac risk, becomes extremely important in the clinical setting. Objectives: The present study aims to evaluate the efficacy of risk stratification protocols in predicting signs and symptoms during the performance of a PRC. Materials and Methods: Data from 65 patients seen in a PRC will be analyzed. Initially, their charts will be analyzed for population characterization, followed by cardiac risk stratification of each in 8 different protocols. Subsequently, these individuals will be followed up for a period of two months during the PRC sessions to assess intercurrences. All identified intercurrences will be recorded for later comparison with the results obtained from the initial evaluations. The normality of the data will be verified by the Shapiro-Wilks test. The relationship between the number of patients' intercurrences and the values of the variables will be analyzed by Pearson's correlation. The definition of the cutoff points for the variables will be obtained by the Receiver Operating Characteristic (ROC) curve. Sensitivity, specificity, positive predictive value and negative predictive value for event occurrence will also be recorded. The area under the curve will be considered significant when values e 0.650 were obtained. All results will be discussed at the 5% level of significance. (AU) | |
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