FABIANA GOULART MARCONDES BRAGA

(Fonte: Lattes)
Índice h a partir de 2011
15
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/11 - Laboratório de Cirurgia Cardiovascular e Fisiopatologia da Circulação, Hospital das Clínicas, Faculdade de Medicina

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  • article 7 Citação(ões) na Scopus
    Genetic and ElectroNic medIcal records to predict oUtcomeS in Heart Failure patients (GENIUS-HF) - design and rationale
    (2014) GIOLI-PEREIRA, Luciana; BERNARDEZ-PEREIRA, Sabrina; MARCONDES-BRAGA, Fabiana Goulart; SPINA, Joceli Mabel Rocha; SILVA, Rafael Muniz Miranda da; FERREIRA, Noely Evangelista; BACAL, Fernando; FERNANDES, Fabio; MANSUR, Alfredo Jose; KRIEGER, Jose Eduardo; PEREIRA, Alexandre Costa
    Background: Studies adopting electronic medical records and genomic information are becoming widespread. Through this new modality in research, it is possible to study how genetic variants influence susceptibility towards chronic conditions and can improve patient care. Our aim is to develop a biobank with 2,000 heart failure patients treated in a tertiary cardiology hospital containing electronic medical records data and biologic samples for performing genome-wide association studies for validation and development of medical decision routines aimed at helping the clinical management of patients. Methods/Design: Patients between 18 and 80 years old with heart failure diagnosis of different etiologies and left ventricular ejection fraction <= 50% in the past 2 years will be eligible for enrollment on the cohort. After consent, patients will be submitted to clinical baseline, echocardiography, cardiograph impedance and biochemical evaluation. Study data will be collected and managed using Research Electronic Data Capture tools. The follow up will take place every 6 months to assess cardiovascular outcomes ( all-cause mortality, cardiovascular mortality, hospitalization for worsening heart failure and current medication use). Initial analytical strategy will focus on the establishment of the accuracy of electronic medical records extraction protocols for main predictor factors of morbidity and mortality in heart failure. Discussion: Building a biobank with biologic samples and clinical data of 2,000 heart failure patients we will perform genome- wide association studies. By this way, we pretend to study how genetic variants influence susceptibility towards chronic conditions. Besides, it will be created a working group focused on the development and implementation of algorithms for validation and application of medical routines using the electronic medical records of the Heart Institute (InCor - HCFMUSP).
  • article 10 Citação(ões) na Scopus
    Predictors of one-year outcomes in chronic heart failure: the portrait of a middle income country
    (2019) GIOLI-PEREIRA, Luciana; MARCONDES-BRAGA, Fabiana G.; BERNARDEZ-PEREIRA, Sabrina; BACAL, Fernando; FERNANDES, Fabio; MANSUR, Alfredo J.; PEREIRA, Alexandre C.; KRIEGER, Jose E.
    Background Heart failure (HF) is a major public health problem with increasing prevalence worldwide. It is associated with high mortality and poor quality of life due to recurrent and costly hospital admissions. Several studies have been conducted to describe HF risk predictors in different races, countries and health systems. Nonetheless, understanding population-specific determinants of HF outcomes remains a great challenge. We aim to evaluate predictors of 1-year survival of individuals with systolic heart failure from the GENIUS-HF cohort. Methods We enrolled 700 consecutive patients with systolic heart failure from the SPA outpatient clinic of the Heart Institute, a tertiary health-center in Sao Paulo, Brazil. Inclusion criteria were age between 18 and 80 years old with heart failure diagnosis of different etiologies and left ventricular ejection fraction <= 50% in the previous 2 years of enrollment on the cohort. We recorded baseline demographic and clinical characteristics and followed-up patients at 6 months intervals by telephone interview. Study data were collected and data quality assurance by the Research Electronic Data Capture tools. Time to death was studied using Cox proportional hazards models adjusted for demographic, clinical and socioeconomic variables and medication use. Results We screened 2314 consecutive patients for eligibility and enrolled 700 participants. The overall mortality was 6.8% (47 patients); the composite outcome of death and hospitalization was 17.7% (123 patients) and 1% (7 patients) have been submitted to heart transplantation after one year of enrollment. After multivariate adjustment, baseline values of blood urea nitrogen (HR 1.017; CI 95% 1.008-1.027; p < 0.001), brain natriuretic peptide (HR 1.695; CI 95% 1.347-2.134; p < 0.001) and systolic blood pressure (HR 0.982;CI 95% 0.969-0.995; p = 0.008) were independently associated with death within 1 year. Kaplan Meier curves showed that ischemic patients have worse survival free of death and hospitalization compared to other etiologies. Conclusions High levels of BUN and BNP and low systolic blood pressure were independent predictors of one-year overall mortality in our sample.