Banca de QUALIFICAÇÃO: ANDERSON SANTANA DE MORAIS

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ANDERSON SANTANA DE MORAIS
DATE: 22/07/2022
TIME: 14:30
LOCAL: remoto
TITLE:

Analysis of ventilatory oscillation evaluated through the ventilatory dispersion index in heart failure

KEY WORDS:

Analysis of ventilatory oscillation evaluated through the ventilatory dispersion index in heart failure

PAGES: 43
BIG AREA: Ciências da Saúde
AREA: Fisioterapia e Terapia Ocupacional
SUMMARY:

NTRODUCTION: Scientific evidence describes ventilatory oscillation (VO) as a periodic breathing during exercise characterized by periods of hypopnea and hyperpnea, without apnea interposition. This condition has been identified as a marker of worse prognosis in patients with heart failure (HF). In addition to the cardiac alterations of this complex syndrome, patients with HF present alterations in ventilatory control, such as hyperventilation at rest, during exercise or during sleep. The cardiopulmonary stress test (CPET) is considered the gold standard for assessing cardiopulmonary fitness. VO is a variable that can be found during CPET, where it can appear as a clinical oscillation of the minute volume (VE), with typical duration and amplitudes, and may have different forms of presentation, such as subjective visual analysis through the evaluation of two or more examiners. Recently, an objective and quantifiable measure of OV was created, the “ventilatory dispersion index” (VDI), based on a mathematical calculation taking into account the dispersion of ventilation over the test time. This measure has a strong association with OV. MATERIAL AND METHOD: This is a retrospective study where the medical records of patients with heart failure referred to the Cardiac Rehabilitation Service of the Hospital Universitário Onofre Lopes (CORE/HUOL/UFRN) submitted to cardiopulmonary stress test will be analyzed, in the period between from October 2014 to June 2018. The medical records will be included for analysis of patients with HF diagnosed by a cardiologist, with functional class I, II and III according to the New York Heart Association (NYHA) and with reduced and preserved ejection fraction. The data extracted from the medical records will be spread out in an Excel table, with information regarding: anthropometry, disease burden, drug load, functional load, spirometry, echocardiogram and CPET data. The identification of the VO will be carried out by two independent researchers and if there is agreement between them, through graphic analysis of the VExTime with a 30-second filter, being positive when the LV amplitude during exercise is greater than 15% of the LV amplitude at rest and present at least 60% of the total test time. The IDV calculation as previously defined. Subsequently, SPSS 20.0 Software will be used for statistical analysis of the data. The hypothesis of normality will be tested using the Kolmogorov-Smirnov (K-S) or Shapiro-Wilk (S-W) test, according to the sample size. The descriptive statistics of the data will be presented as mean and standard deviation for quantitative variables, and in frequency for qualitative variables, considering a significance level of 5% for all analyses. The ROC curve will be used to analyze the capacity of the VDI to predict the OV, through the area under the curve (AUC). Pearson's correlation test will be used to analyze the relationship between VDI and lung function/CPET variables. A regression analysis will be performed to certify which variable best predicts the VDI. EXPECTED RESULTS: It is believed that patients with HF present VO during exercise and that the VDI is a predictive tool to identify when this phenomenon occurs and to indicate risk of mortality in cardiopulmonary diseases.

COMMITTEE MEMBERS:
Presidente - 1149619 - SELMA SOUSA BRUNO
Externa ao Programa - 2646588 - JOCELINE CASSIA FEREZINI DE SA - UFRNExterna ao Programa - ***.742.074-** - RENATA CARLOS FELIPE - NENHUMA