At present, the working situation of teachers appears to be characterized by a perceived imbalance of effort and reward and is associated with a high risk of developing burnout symptoms.

To be a teacher is a hard work and requires coping of considerable amount of adverse events. Based on the GHQ, nearly 30% of teachers suffer from significant mental health problems.

Our data indicate a problematic stress level for student teachers in the second training phase (high exposure to health risks and unfavourable coping styles). Since teaching is clearly an extremely demanding job, it is vital that teacher training systems contribute towards protecting the health of teachers by focusing on fostering healthy personal attitudes and equipping young teachers with coping styles and skills that will better prepare them for the challenges facing them in their daily work. Self-care health management should also be part of the teacher training curriculum.

Background Pulmonary vein isolation is the cornerstone of catheter ablation in patients with atrial fibrillation (AF). However, with advanced left atrial (LA) structural changes, additional targeted catheter ablation of low‐voltage zones (LVZs) has produced favorable results. Therefore, with the advent of single‐shot techniques, it would be helpful to predict the presence of LVZs before an ablation procedure. Objective We hypothesized that computed tomography (CT)‐derived left atrial volume index (LAVI), in combination with other objective parameters, could be used to develop a score able to predict the presence of LVZs. Methods In a large cohort of patients undergoing their first AF ablations, comprehensive echocardiographic evaluations and cardiac CT were performed. During the electrophysiological studies, LA geometry and electroanatomic voltage maps were created. LVZs were defined as areas ≥1 cm2 with bipolar peak‐to‐peak voltage amplitudes ≤0.5 mV. Results In a derivation cohort of 374 patients, predictors of LVZs were identified by regression analysis and used to build the Zentralklinik Bad Berka and University of L'Aquila (ZAQ) score (age ≥65 years; female sex; and CT‐LAVI ≥57 mL/m2). The ZAQ score of 2 points accurately identified the presence and the extent of LVZs (area under the curve [AUC], 0.809; 95% confidence interval [CI], 0.758‐0.861; P < .001 and 3 [interquartile range, IQR, 1.5‐4.5] vs 7 cm2 [IQR 4‐9]; P = .001). In a validation cohort of 103 patients, the predictive value of the score was confirmed (AUC, 0.793; 95% CI, 0.709‐0.878; P < .001 and 4 [IQR, 2‐7] vs 11.5 cm2 [IQR, 8‐16.5]; P = .001). Conclusions The ZAQ score identifies LVZs and may be useful for planning the ablation strategy ahead of time.

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