Proximity to COVID-19 on Mental Health Symptoms among Hospital Medical Staff.

BACKGROUND: Exposure to patients with COVID-19 can have a significant impact on mental health of hospital medical staff. The aim of this study was to examine the influence of proximity to patients with COVID-19 considering occupational position and gender on the mental health of hospital staff. SUBJECTS AND METHODS: N=78 participants were included in the study, with n=40 of them with direct contact to patients with COVID-19 (51%); eight had contact with patients suspected of having COVID-19 (10%), and n=30 with no direct contact to people with COVID-19 (39%). RESULTS: Multinomial regression analyses showed that proximity had a negative (inverse) influence on avoidance behaviour as part of PTSD, physical symptoms, somatization, compulsiveness and anger expression-in as tendency to suppress anger. In addition, there was a significant impact of the female gender on increased physical symptoms, while age, work experience and occupation had no further influence. CONCLUSIONS: These results that hospital medical staff is less psychologically stressed when closer to COVID-19 patients are inconsistent with previous studies. Self-efficacy and locus of control in these situations are relevant for processing the trauma. In summary, perception of personal risk is essential. Proximity is believed to be a proxy variable for personal risk perception. As a synopsis of these results, regular briefings of the hospital staff are recommended to prevent psychological impairment. They should contain specific information about conditions in the affected wards and the risk of infection, which could help reduce risk perception of medical personnel.

Impact of previous left atrial ablation procedures on the mechanism of left atrial flutter: A single-centre experience.

INTRODUCTION: Left atrial flutter predominantly occurs after surgical or ablation procedures but this entity has also been recently reported in individuals without previous interventions. The use of high-density electroanatomical mapping-systems (HDM) has improved the understanding of underlying mechanisms beyond entrainment maneuvers and substrate analyses. We aimed to evaluate the mechanism of left atrial (LA) flutters in preablated vs ablation-naïve individuals and sought to assess the efficacy of empiric ablations sets in these groups. METHODS AND RESULTS: We included 55 patients admitted for ablation of LA flutter between July 2017 and August 2019. On the basis of HDM analyses the arrhythmia mechanism was determined with consecutive ablation targeting the suspected critical isthmus. Mean age was 69.8 ± 10.7 years, with 26 of 55 (47.3%) male patients. Thirty-nine (71%) patients had previously undergone LA ablation. Arrhythmia mechanisms differed between preablated and ablation-naïve patients as anatomical structure-related LA flutters (perimitral, roof-dependent, within-pulmonary veins) were more frequent in the preablated cohort compared to ablation-naïve individuals (74.4% vs 43.8%; P = .03). In ablation-naïve patients, most flutters (9 of 16, 56.3%) were related to low-voltage areas at the anterior/posterior wall. Acute termination rates were high (>90%) in both groups. Empirical mitral isthmus or roof lines showed a potential higher success rate in preablated patients. CONCLUSION: We identified different mechanisms of LA flutters in preablated vs ablation-naïve patients. In ablation-naïve patients, most tachycardias involved low-voltage areas rather than anatomical structures. Using HDM, acute success rates were high. Hypothetical linear ablations were less successful in ablation-naïve individuals, further highlighting the need to identify the specific individual tachycardia mechanism in these patients.

Characterization of temporal electrical activity patterns for detection of critical isthmus regions of recurrent atypical atrial flutter.

INTRODUCTION: Identifying the critical isthmus region (CIR) of atrial re-entry tachycardias (AT) is challenging. The Lumipoint® (LP) software, developed for the Rhythmia® mapping system, aims to facilitate the successful ablation of ATs by identifying the CIR. OBJECTIVE: The objective of this study was to evaluate the quality of LP regarding the percentage of arrhythmia-relevant CIR in patients with atypical atrial flutter (AAF). METHODS: In this retrospective study, we analyzed 57 AAF forms. Electrical activity (EA) was mapped over tachycardia cycle length resulting in a two-dimensional EA pattern. The hypothesis was that EA minima suggest potential CIRs with slow-conduction-zone. RESULTS: A total of n = 33 patients were included, with the majority of patients being already preablated (69.7%). LP algorithm identified a mean of 2.4 EA minima and 4.4 suggested CIRs per AAF form. Overall, we observed a low probability of identifying only the relevant CIR (POR) at 12.3% but a high probability that at least one CIR is detected (PALO) at 98.2%. Detailed analysis revealed EA minima depth (≤20%) and width (>50 ms) as the best predictors of relevant CIRs. Wide minima occurred rarely (17.5%), while low minima were more frequently present (75.4%). Minima depth of EA ≤ 20% showed the best PALO/POR overall (95% and 60%, respectively). Analysis in recurrent AAF ablations (five patients) revealed that CIR in de novo AAF was already detected by LP during the index procedure. CONCLUSION: The LP algorithm provides an excellent PALO (98.2%), but poor POR (12.3%) to detect the CIR in AAF. POR improved by preselection of the lowest and widest EA minima. In addition, there might be the role of initial bystander CIRs becoming relevant for future AAFs.