Predictive Analysis of Cardiac Resynchronization Therapy Response by means of the ECG

Nuria Ortigosa, Joaquin Osca, Carmen Fernandez, Antonio Galbis, Rebeca Jimenez, Ydelise Rodriguez
2016 2016 Computing in Cardiology Conference (CinC)   unpublished
Aims: Cardiac Resynchronization Therapy (CRT) is an effective treatment for heart failure patients with moderate to severe symptoms. Unfortunately, a significant proportion of patients (up to 35%) do not respond to CRT (patients called "non-responders"). This results in a large cost-effectiveness relation for heart failure treatment. This study aims to assess the prediction response to CRT by means of analysing the ECG. (18) cardiomyopathy. We extracted the QRS and then processed a measure of
more » ... ergy of a discrete version of the Stockwell Transform. This feature was used to discern non-responder patients to CRT. Methods: We retrospectively analysed the surface ECG and QRS previous to CRT implantation in 45 consecutive patients with dilated (27) or ischemic Results: 10 out of 45 patients were clinically judged as non-responders to CRT. We observed that, on average, non-responders presented significant lower values for this energy measure than patients who responded favorably to the therapy (with median values 95538 vs. 48516 for responders and non-responders, p-value < 0.05). Using energy in the spectrum as feature to predict patients' response, as well as mean duration of QRS complexes, our obtained performances for a linear least-squares classifier were: accuracy (77.78%), sensitivity (80%), specificity (70%). Conclusion: The current study presents a novel approach to obtain early predictions of potential candidates to CRT in patients suffering from heart failure by means of calculating the energy of the ECG, which may open a door to reduce and try to minimize the number of CRT treatments with unsuccessful results.
doi:10.22489/cinc.2016.218-415 fatcat:j52epuci4fb5xpq5o5smmevlcm