Computational electrophysiology of the coronary sinus branches based on electro-anatomical mapping for the prediction of the latest activated region.

This work dealt with the assessment of a computational tool to estimate the electrical activation in the left ventricle focusing on the latest electrically activated segment (LEAS) in patients with left bundle branch block and possible myocardial fibrosis. We considered the Eikonal-diffusion equation and to recover the electrical activation maps in the myocardium. The model was calibrated by using activation times acquired in the coronary sinus (CS) branches or in the CS solely with an electroanatomic mapping system (EAMS) during cardiac resynchronization therapy (CRT). We applied our computational tool to ten patients founding an excellent accordance with EAMS measures; in particular, the error for LEAS location was less than 4 mm. We also calibrated our model using only information in the CS, still obtaining an excellent agreement with the measured LEAS. The proposed tool was able to accurately reproduce the electrical activation maps and in particular LEAS location in the CS branches, with an almost real-time computational effort, regardless of the presence of myocardial fibrosis, even when information only at CS was used to calibrate the model. This could be useful in the clinical practice since LEAS is often used as a target site for the left lead placement during CRT. Overall picture of the computational pipeline for the estimation of LEAS.

Integration of activation maps of epicardial veins in computational cardiac electrophysiology.

In this work we address the issue of validating the monodomain equation used in combination with the Bueno-Orovio ionic model for the prediction of the activation times in cardiac electro-physiology of the left ventricle. To this aim, we consider four patients who suffered from Left Bundle Branch Block (LBBB). We use activation maps performed at the septum as input data for the model and maps at the epicardial veins for the validation. In particular, a first set (half) of the latter are used to estimate the conductivities of the patient and a second set (the remaining half) to compute the errors of the numerical simulations. We find an excellent agreement between measures and numerical results. Our validated computational tool could be used to accurately predict activation times at the epicardial veins with a short mapping, i.e. by using only a part (the most proximal) of the standard acquisition points, thus reducing the invasive procedure and exposure to radiation.

Short-term outcome associated with remote evaluation (telecardiology) of patients with cardiovascular diseases during the COVID-19 pandemic.

INTRODUCTION: During the recent COVID-19 outbreak, Italian health authorities mandated to replace in-person outpatient evaluations with remote evaluations. METHODS: From March 16th 2020 to April 22th 2020, all outpatients scheduled for in-person cardiac evaluations were instead evaluated by phone. We aimed to report the short-term follow-up of 345 patients evaluated remotely and to compare it with a cohort of patients evaluated in-person during the same period in 2019. RESULTS: During a mean follow-up of 54 ± 11 days, a significantly higher proportion of patients evaluated in-person in 2019 visited the emergency department or died for any cause (39/391, 10% versus 13/345 3.7%, p = 0.001) and visited the emergency department for cardiovascular causes (19/391, 4.9% versus 7/345, 2.0%, p = 0.04) compared to 2020. No cardiovascular death was recorded in the two periods. To an evaluation with a satisfaction questionnaire 49% of patients would like to continue using remote controls in addition to traditional ones. CONCLUSION: These findings may have important implications for the management of patients during the current COVID-19 pandemic because they suggest that remote cardiovascular evaluations may replace in-hospital visits for a limited period.