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BACKGROUND: Patients with heart failure (HF) and implanted heart devices constitute a vulnerable category during the coronavirus disease –2019 (COVID-19) pandemic. The remote monitoring function allows the physician to detect atrial fibrillation (AF) in these patients and to prevent thromboembolic complications by prescribing anticoagulants. Under quarantine conditions, such patients can receive fully remote consultation and treatment, which will protect them from the risk of infection, and also reduce the burden on medical institutions. CASE REPORT: A 56-year-old man presented to the clinic with shortness of breath when climbing the second floor, moderate non-specific fatigue, general weakness, and a decrease in exercise tolerance. The patient received standard treatment for HF for at least 3 months (ACEI, beta blockers, MR antagonists, and loop diuretics) in individually selected adequate doses. ECG on admission showed a QRS of 150 ms, left bundle branch block (LBBB). Echo showed dilatation of all heart chambers, diffuse hypokinesis of the walls with akinesis of the apical, middle anterior LV segments, as well as hypokinesis of the basal, middle apical, and anterior septal segment of the LV. The ejection fraction was reduced to 35%. RV function is reduced. After a detailed discussion with the team, it was decided to do implantation of a cardioverter-defibrillator with resynchronization function, equipped with remote monitoring (Biotronik, and Home monitoring). Date of implantation is June 19, 2014. Due to the fact that the patient was connected to the remote monitoring system, May 5, 2020, he was diagnosed with asymptomatic AF. The episode lasted 1 min 22 s. On the following days of monitoring, episodes of AF were also recorded. The duration of the episodes ranged from a few seconds to 12 h/day. The patient received a doctor’s consultation through phone call, his risk of stroke was four when assessed using the CHA2DS2VASc scale. In treatment, it was recommended to add antiarrhythmic drugs (amiodarone 600 mg a day) and oral anticoagulants (rivaroxaban 20 mg × 1 time/day). Later, periodic IEGM showed absence of AF. CONCLUSION: In the context of the COVID-19 pandemic, health-care providers should rethink their approach to managing patients with implanted heart devices. Modern cardiovascular implantable electronic devices allow the physician to monitor the status of patients and immediately respond to situations requiring a change in treatment. Consultations can be carried out completely online.

Background: Stroke is a problem worldwide because of its high mortality and disability rates. Almost 90% of strokes are ischemic, and more than half of the deaths are caused by an ischemic stroke. Most risk factors for stroke are manageable so that it can be avoided with proper prevention. Despite the success in determining the causes of stroke in recent years, selectively, the "culprit" causing stroke remains unsolved. In such cases, a diagnosis of undetermined etiology (cryptogenic stroke) or embolic stroke of undetermined source (ESUS) is generated, resulting the prevention of a recurrent cerebrovascular occurrence impossible. Atrial fibrillation (AF) can be a cause of stroke by causing blood clots in the chambers of the heart. Purpose: The aim was to determine the optimal method of heart rate monitoring in patients with ischemic stroke, as methods and approaches for detecting AF are very diverse, but there is still no single opinion, which would be universal. Procedures: In our review, we consider epidemiology, risk factors for the stroke of undetermined etiology, as well as analytical methods for detecting heart rhythm disturbances in this category of patients. Findings: Atrial fibrillation (AF) is detected by thorough monitoring of heart rate of patients with cryptogenic stroke and ESUS can be diagnosed in up to 46% of patients. Conclusion. After AF detection, consideration should be given to prescribing anticoagulants, instead of antiplatelet agents, for the secondary prevention of stroke.

Aim    To identify a complex of predictors and to create a mathematical model for prognosis of atrial fibrillation (AF) in patients with ischemic stroke of undetermined etiology. Material and methods    The study included 981 patients with ischemic stroke. Effects of the following factors were evaluated: gender, a history of stroke, a history of thromboembolism, presence of diabetes mellitus, grade of arterial hypertension, functional class (FC) of chronic heart failure (CHF), age, data of blood biochemistry, and data of coagulogram. The prognostic model was constructed using the binary logistic regression. The value of area under the ROC curve for the proposed prognostic model was calculated.Results    The main predictors of AF in patients with ischemic stroke of undetermined etiology were CHF FC, a history of stroke, age, gender, values of cholesterol and prothrombin index, which were included into the final prognostic model. The sensitivity of the developed model was 83.5 % and the specificity was 85.5 %. The area under the ROC curve corresponding to the interrelation between the prognosis of AF and the regression function value was 0.921±0.012 with 95 % confidence interval: 0.898–0.944.Conclusion    According to the results of the study, the probability of AF in patients with ischemic stroke increased with CHF progression, recurrent stroke, older age, female gender, and reduced prothrombin index and cholesterol level.

Purpose. Determination the proportion and burden of new-onset atrial fibrillation (AF) in patients with cardiac implantable electronic devices (CIED) and without prior AF and assessing the incidence of risk factors for stroke in patients with AF.Methods. The medical history of 111 patients with CIED with remote monitoring function were analyzed. AF diagnosed by the device was interpreted by an arrhythmologist and cases of significant AF were selected. The group of patients with and without AF was compared for several factors. To clarify the influence of risk factors on the duration of AF, all AF cases were divided into 3 categories depending on the AF burden per day. The first group included patients with an AF burden per day of 0.1% or less (n=10, (45.5%)), the second - from 0.3% to 12.2% (n=7, (31.8%)), and the third group - with 100% (n=5, (22.7%)). Patients with a burden of 0.2%, 12.3-99.9% were absent.Results. Newly diagnosed AF was registered in 19.8% of cases. The risk of stroke among these patients was high - 2 [1; 3] points on the CHA2 DS2 -VASc for men, and 3 [2,75; 3,75] points for women. Hypertension of 2 and 3 degrees was recorded in all patients in the group with an AF burden of 100% per day. That significantly differed from the other 2 groups (p=0.043). In the group with an AF burden of 100%, the levels of NT-proBNP, D-dimer, and creatinine were significantly higher than in the other groups (p=0.037, p=0.031 and p=0.036, respectively). When analyzing the dependence of creatinine level on the presence of AF, the area under the ROC-curve was 0.653 with 95% confidence interval 0.528-0.779 (p=0.017). The proportion of right ventricular pacing in patients with ICD was higher in the group of patients with AF.Conclusion. AF occurs in 1/5 of patients with CIED. All patients with AF were potential candidates for anticoagulation due to their high risk of stroke. The daily burden of AF is positively correlated with the presence and degree of hypertension, as well as with markers of renal dysfunction, chronic heart failure, and thrombosis. Elevated creatinine levels are a predictor of AF.