Mitral valvulitis as a severe extra-articular manifestation of rheumatoid arthritis: a case report.

BACKGROUND: Extra-articular manifestations (EAMs) are common in patients with rheumatoid arthritis (RA). Cardiac EAMs are rare but may cause complete heart block and damage to the heart valves. CASE SUMMARY: We present the case of a middle-aged woman with long-standing RA and EAMs as the most prominent symptoms. The patient experienced complete atrioventricular heart block and developed nodular vegetations affecting the mitral valve, ultimately leading to severe mitral regurgitation and valve replacement. DISCUSSION: The diagnosis of cardiac EAMs in RA may be challenging for the clinicians. Symptoms and findings may mimic more common conditions such as malignancy and infectious endocarditis. A multidisciplinary approach is of paramount importance in order to make an early diagnosis and to provide optimal treatment to patients with RA and cardiac complications.

Role for machine learning in sex-specific prediction of successful electrical cardioversion in atrial fibrillation?

OBJECTIVE: Electrical cardioversion is frequently performed to restore sinus rhythm in patients with persistent atrial fibrillation (AF). However, AF recurs in many patients and identifying the patients who benefit from electrical cardioversion is difficult. The objective was to develop sex-specific prediction models for successful electrical cardioversion and assess the potential of machine learning methods in comparison with traditional logistic regression. METHODS: In a retrospective cohort study, we examined several candidate predictors, including comorbidities, biochemistry, echocardiographic data, and medication. The outcome was successful cardioversion, defined as normal sinus rhythm immediately after the electrical cardioversion and no documented recurrence of AF within 3 months after. We used random forest and logistic regression models for sex-specific prediction. RESULTS: The cohort comprised 332 female and 790 male patients with persistent AF who underwent electrical cardioversion. Cardioversion was successful in 44.9% of the women and 49.9% of the men. The prediction errors of the models were high for both women (41.0% for machine learning and 48.8% for logistic regression) and men (46.0% for machine learning and 44.8% for logistic regression). Discrimination was modest for both machine learning (0.59 for women and 0.56 for men) and logistic regression models (0.60 for women and 0.59 for men), although the models were well calibrated. CONCLUSIONS: Sex-specific machine learning and logistic regression models showed modest predictive performance for successful electrical cardioversion. Identifying patients who will benefit from cardioversion remains challenging in clinical practice. The high recurrence rate calls for thoroughly informed shared decision-making for electrical cardioversion.

Cardioversion of atrial fibrillation in a real-world setting: non-vitamin K antagonist oral anticoagulants ensure a fast and safe strategy compared to warfarin.

Aims: Non-vitamin K antagonist oral anticoagulants (NOACs) are increasingly used as thromboembolic prophylaxis in cardioversion. We examined the waiting time to cardioversion and the outcomes in patients with non-valvular atrial fibrillation (AF) of > 48 h of duration who were treated with either NOACs or warfarin. Methods and results: Anticoagulation was handled in a structured, multidisciplinary AF-clinic. The objectives were the waiting time to cardioversion, and thromboembolism and major bleeding events within 60 days. In total, 2150 electrical cardioversions were performed; 684 (31.8%) of patients were on NOACs and 1466 (68.2%) were on warfarin. The waiting time to non-TOE-guided cardioversion was significantly shorter in the NOAC group compared with the warfarin group for all cardioversions (P < 0.001 for log-rank test) and for first-time cardioversions (P < 0.001 for log-rank test). For all non-TOE-guided cardioversions, 80% of procedures on NOACs and 67% of procedures on warfarin were performed within 25 days (P < 0.001). Thromboembolism occurred in one patient (0.15%) receiving NOAC and in two patients (0.14%) receiving warfarin (risk ratio (RR) 1.07; 95% confidence interval (CI) 0.10-11.81). Major bleeding events occurred in four patients (0.58%) in the NOAC group and 11 patients (0.75%) in the warfarin group (RR 0.78; 95% CI 0.25-2.43). Conclusion: In a real-world clinical setting with anticoagulation handled in a structured multidisciplinary AF clinic, the waiting time to cardioversion was shorter with NOACs compared to warfarin. The rates of thromboembolism and major bleeding events were low, with NOACs shown to be as effective and safe as warfarin.