ESTGV - DMAT - Capítulo em obra internacional, como autor
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Browsing ESTGV - DMAT - Capítulo em obra internacional, como autor by Author "Henriques, Carla"
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- Brugada Syndrome Diagnosis - Three Approaches to Combining Diagnostic MarkersPublication . Henriques, Carla; Matos, Ana; Santos, LuisBrugada Syndrome (BS) is an inherited cardiopathy that predisposes individuals without structural heart disease to sudden cardiac death. The diagnosis is performed by detecting a typical pattern in the electrocardiogram (ECG), called Type 1 Brugada pattern, but this is not always visible, so the diagnosis is not straight- forward. In this study, we investigated other ECG markers, independent of the typ- ical pattern, which exhibited a good ability to differentiate the carriers and the non-carriers of the genetic mutation responsible for this disease. The combination of these markers through linear models has led to enhancing the ability of each marker to discriminate between the two groups. We found linear combinations of these markers for which the area under the ROC curve (AUC) was greater than 0.9, which suggests an excellent ability to discriminate between the two groups. This study points towards good alternatives for diagnosing BS which may prevent searching for the Type 1 Brugada pattern in an ECG, but these alternatives should be investigated with a larger database in order to produce a good effective predictive model.
- Computational Science and Its Applications – ICCSA 2014, Lecture Notes in Computer Science, Predictive Models for Mutation Carriers in Brugada Syndrome ScreeningPublication . Henriques, Carla; Matos, Ana; Santos, LuisIn this study we consider logistic regression models to predict mutation carriers in family members affected by Brugada Syndrome. This Syndrome is an inherited cardiopathy that predisposes individuals without structural heart disease to sudden cardiac death. We focused on five electrocardiographic markers, which have been explored as good discriminators between carriers and non-carriers of the genetic mutation responsible for this disease. Logistic regression models which combine some of the five markers were investigated. Our objective was to assess the predictive ability of these models through internal validation procedures. We also applied shrinkage methods to improve calibration of the models and future predictive accuracy. Validation of these models, using bootstrapping, point to some superiority of two models, for which fairly good measures of predictive accuracy were obtained. This study provides confidence in these models, which offer greater sensitivity than the usual screening by detecting a characteristic pattern in an electrocardiogram.
- Study of the Electrocardiographic Fluctuations on Brugada Syndrome ScreeningPublication . Matos, Ana Cristina; Henriques, Carla; Santos, Luís Ferreira dos