Browsing by Author "Adasme, Marcela"

Now showing 1 - 6 of 6
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    Body fat and its relationship with clustering of cardiovascular risk factors
    (2015) Valentino Peirano, Giovanna Francesca; Bustamante, María José; Orellana, Lorena; Krämer Karmy, Verónica; Durán Agüero, Samuel; Adasme, Marcela; Salazar, Alejandra; Ibarra, Camila; Fernández, Marcelo; Navarrete, Carlos; Acevedo B., Mónica
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    Cardiorespiratory fitness improves prediction of mortality of standard cardiovascular risk scores in a Latino population
    (2020) Acevedo, Monica; Valentino, Giovanna; Jose Bustamante, Maria; Orellana, Lorena; Adasme, Marcela; Baraona, Fernando; Corbalan, Ramon; Navarrete, Carlos
    Background Cardiorespiratory fitness (CRF) is a powerful predictor of mortality. This study evaluated the predictive value of CRF for mortality in Chilean subjects without atherosclerotic disease compared with the Framingham, European Systematic Coronary Risk Evaluation (SCORE), and 2013 ACC/AHA risk scores and determined the incremental predictive value of CRF when added to these scores. Hypothesis CRF improves prediction of all-cause and cardiovascular disease (CVD)-related mortality of the standard international risk scores. Methods Cross-sectional study, which evaluated 4064 subjects between 2002 and 2016. Cardiovascular (CV) risk factors, anthropometric and biochemical parameters, and blood pressure were measured. CRF was determined by metabolic equivalents during maximum stress test. The Framingham, SCORE, and ACC/AHA risk scores were calculated for all subjects. After a median follow-up of 9 years, all-cause and CVD-related mortality were assessed. Receiver operating curves were built to determine mortality prediction for CRF, the risk scores, and CRF added to the scores. Results As of August 2016, 99 deaths were reported, 33 of which were CVD-related. All risk scores and CRF predicted CVD-related mortality, with CRF identified as the best predictor: CRF: C = 0.88 (95% CI: 0.82-0.93) vs Framingham: C = 0.68 (95% CI: 0.60-0.76), SCORE: C = 0.76 (95% CI: 0.70-0.83), and ACC/AHA: C = 0.79 (95% CI: 0.73-0.85). Predictive power of the three scores improved when CRF was added to the model, but this was only significant for the Framingham score. Conclusions CRF is a good predictor of both, all-cause and CV mortality and a better predictor of CVD-related deaths than standard risk scores in this population.
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    Comparison of Lipoprotein-Associated Phospholipase A2 and High Sensitive C-Reactive Protein as Determinants of Metabolic Syndrome in Subjects without Coronary Heart Disease: In Search of the Best Predictor
    (HINDAWI LTD, 2015) Acevedo, Monica; Varleta, Paola; Kramer, Veronica; Valentino, Giovanna; Quiroga, Teresa; Prieto, Carolina; Parada, Jacqueline; Adasme, Marcela; Briones, Luisa; Navarrete, Carlos
    High sensitivity C-reactive protein (hsCRP) is a marker of metabolic syndrome (MS) and cardiovascular (CV) disease. Lipoproteinassociated phospholipase A2 (Lp-PLA2) also predicts CV disease. There are no reports comparing these markers as predictors of MS. Methods. Cross-sectional study comparing Lp-PLA2 and hsCRP as predictors of MS in asymptomatic subjects was carried out; 152 subjects without known atherosclerosis participated. Data were collected on demographics, cardiovascular risk factors, anthropometric and biochemical measurements, and hsCRP and Lp-PLA2 activity levels. A logistic regression analysis was performed with each biomarker and receiver operating characteristic (ROC) curves were constructed for MS. Results. Mean age was 46 +/- 11 years, and 38% of the subjects had MS. Mean Lp-PLA2 activity was 185 +/- 48 nmol/mL/min, and mean hsCRP was 2.1 +/- 2.2mg/L. Subjects with MS had significantly higher levels of Lp-PLA2 (P = 0.03) and hsCRP (P < 0.0001) than those without MS. ROC curves showed that both markers predictedMS. Conclusion. Lp-PLA2 and hsCRP are elevated in subjects withMS. Both biomarkers were independent and significant predictors for MS, emphasizing the role of inflammation in MS. Further research is necessary to determine if inflammation predicts a higher risk for CV events in MS subjects.
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    Impaired Fasting Glucose in Nondiabetic Range : Is It a Marker of Cardiovascular Risk Factor Clustering?
    (2015) Valentino Peirano, Giovanna Francesca; Kramer, Verónica; Orellana, Lorena; Bustamante, María José; Casasbellas, Cinthia; Adasme, Marcela; Salazar, Alejandra; Navarrete, Carlos; Acevedo B., Mónica
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    Patient Adherence to a Cardiovascular Rehabilitation Program : What Factors Are Involved?
    (2015) Bustamante, María José; Valentino Peirano, Giovanna Francesca; Kramer, Verónica; Adasme, Marcela; Guidi Guillón, Dominique Annette; Ibara, Camila; Casasbellas, Cinthia; Orellana, Lorena; Fernández, Marcelo; Navarrete, Carlos; Mónica Acevedo
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    Uso de terapia antiagregante dual luego de angioplastía coronaria. Duración, frecuencia de sangramientos y alidación de scores de riesgo de hemorragia en una cohorte chilena
    (2017) Martínez, Gonzalo; Adasme, Marcela; Fuensalida, Alberto; Mandiola, Jorge; Cortés, Maurice; Potthoff, Marcelo; Méndez Lesser, Manuel; Martínez Sepúlveda, José Alejandro