Citations

Abstract Background Atrial high-rate episodes (AHRE) are commonly detected in individuals with cardiac implantable electronic devices. Outcomes of atrial high-rate episodes remain unclear in those without a prior history of atrial fibrillation. Purpose This study aims to evaluate clinical outcomes of atrial high-rate episodes in patients who have no prior history of atrial fibrillation. Methods PubMed, EMBASE, and Cochrane databases were searched through February 2024 for studies evaluating clinical outcomes in individuals with cardiac implantable electronic devices who experienced atrial high-rate episodes, compared to those who did not. Individuals who had a prior history of atrial fibrillation were excluded. Outcomes assessed were clinical atrial fibrillation, thromboembolic events, and all-cause mortality. A fixed-effects model was used to calculate risk ratios (RRs) with 95% confidence intervals (CI). A subgroup analysis of thromboembolic events was conducted based on the duration of atrial high-rate episodes. Results A total of 9 studies met inclusion criteria with a combined enrollment of 7440 patients. Compared to those who did not experience atrial high-rate episodes, those who did had significantly increased risks of clinical atrial fibrillation (RR 3.33; 95% CI 1.99 - 5.57; P < 0.0001) and thromboembolic events (RR 2.21; 95% CI 1.72 -2.85; P < 0.0001). The risk of all-cause mortality was similar between both groups (RR 1.19; 95% CI 0.95 – 1.49; P = 0.13). Subgroup analysis revealed an increased risk of thromboembolic events among atrial high-rate episodes ≥ 24 hours (RR 12.34; 95% CI 2.70 – 56.36) while atrial high-rate episodes lasting < 24 hours were insignificantly associated with thromboembolic events (RR 0.83; 95% CI 0.12 – 5.58). Conclusions Our study indicates a heightened risk of clinical atrial fibrillation and thromboembolic events among patients with atrial high-rate episodes, with no observed increase in mortality risk. Furthermore, our findings suggest that the duration of atrial high-rate episodes influences the risk of thromboembolism. Further studies are warranted to confirm our findings.

Abstract Background The role of anticoagulation in patients with atrial high-rate episodes (AHRE), who have no prior history of atrial fibrillation or atrial flutter, is being extensively studied. Purpose Given the increased thrombo-embolic risk in patients who have atrial high-rate episodes, our aim was to evaluate whether anticoagulation leads to enhanced clinical outcomes compared to no anticoagulation (1). Methods We searched PubMed, EMBASE, and the Cochrane Library, through February 2024, for studies evaluating outcomes in patients with atrial high-rate episodes managed with oral anticoagulation (OAC) compared to those not managed with oral anticoagulation. Outcomes assessed were ischemic stroke, thromboembolic events, major bleeding, and all-cause mortality. A fixed-effects model was used to calculate pooled risk risk ratios (RR) and their 95% confidence intervals (CI). Results A total of 4 studies comprising 6788 patients were included. Anticoagulation was associated with a significant reduction in the risks of ischemic stroke (RR 0.66; 95% CI 0.49 - 0.90; P = 0.0084) and thromboembolic events (RR 0.70; 95% CI 0.55 - 0.89; P = 0.0037). Compared to atrial high-rate episodes not managed with anticoagulation, there was a significantly increased risk of major bleeding with anticoagulation (RR 1.57; 95% CI 1.23 - 2.00; P = 0.0002), while the risk of all-cause mortality was similar (RR 1.07; 95% CI 0.95 - 1.21; P = 0.2437). Conclusion Our study suggests that anticoagulation in patients with atrial high-rate episodes decreases the risks of ischemic stroke and thromboembolic events, while increasing the risk of major bleeding, compared patients not managed with anticoagulation. Our study does not show a mortality benefit with the use of anticoagulation in patients with atrial high-rate episodes. Further studies are needed to confirm the safety and efficacy of anticoagulation in atrial high-rate episodes.Forest Plots of Outcomes Assessed

Abstract Background Transcatheter aortic valve replacement (TAVR) continues to be increasingly performed. While machine learning has demonstrated utility in predicting adverse outcomes in various cardiovascular procedures, its effectiveness in predicting in-hospital mortality in TAVR remains uncertain. Purpose We aimed to examine the accuracy of machine learning in predicting in-hospital mortality in TAVR. Methods We searched PubMed and Cochrane databases up to February 2024 for observational studies assessing the diagnostic accuracy of machine learning for predicting in-hospital mortality in TAVR. Extracted data included study characteristics, patient demographics, type of predictive model used, and area under the receiver operating characteristic curves (AUC). Predictive accuracy was assessed by pooling AUC of machine-learning models across studies. AUC values ranging from 0.80 to 0.90, 0.70 to 0.80, 0.60 to 0.70, and 0.50 to 0.60 corresponded to excellent, good, fair, and poor discrimination ability, respectively (1). We used a random effects model to estimate the overall effect size with a 95% confidence interval (CI). Heterogeneity was evaluated with the I2 test.We conducted subgroup analyses based on the type of machine-learning model utilized to assess for any potential differences in predictive accuracy. Results A total of three studies were identified, comprising a study population of 70,714 patients. Across studies, eight machine learning models were utilized, consisting of three artificial neural network models, one logistic regression model, one naive Bayes model, two random forest models, and one support vector machine model. Pooled AUC showed excellent accuracy of machine learning in predicting in-hospital mortality in TAVR (0.92; 95% CI 0.90 - 0.95). Subgroup analyses revealed similar yet excellent accuracy across all types of machine learning models utilized: artificial neural network (0.92; 95% CI 0.86-0.99), logistic regression (0.92; 95% CI 0.89-0.95), naive Bayes (0.90; 95% CI 0.88-0.92), random forest (0.94; 95% CI 0.87-1.00), and support vector machine (0.94; 95% CI 0.91-0.96). Conclusion Our study suggests that utilizing machine learning can accurately predict in-hospital mortality in TAVR. Operators of TAVR procedures may benefit from incorporating machine learning prediction models in their clinical practice. Further exploration of machine learning on outcomes in TAVR is needed to verify our findings.

Abstract Background Patients with heart failure possess an increased risk for adverse outcomes with noncardiac surgery (1). While bariatric surgery is frequently performed in patients with obesity, there remains a limited understanding of the impact of bariatric surgery in obese patients with heart failure. Purpose The purpose of this study was to compare outcomes of bariatric surgery versus nonsurgical management in obese patients with heart failure. Methods We searched PubMed, EMBASE, and the Cochrane Library, through February 2024, for studies evaluating outcomes in obese patients with heart failure who underwent bariatric surgery compared to nonsurgical management. Outcomes assessed were postoperative atrial fibrillation, all-cause mortality, and hospital readmission. We used a fixed-effect model to calculate hazard ratios (HR) with 95% confidence intervals (CI) in R studio for outcomes assessed. In outcomes where significant heterogeneity was found (P< 0.05 and I2 > 60%), a random effects model was used. Results A total of 3 studies were identified, consisting of 260,186 patients. Compared to nonsurgical management, bariatric surgery was associated with a significant reduction in postoperative atrial fibrillation (HR 0.72; 95% CI: 0.62-0.84), all-cause mortality (HR 0.50; 95%CI 0.35-0.72), and hospital readmission (HR 0.73; 95% CI 0.69-0.78) in obese patients with heart failure. Conclusion Our study suggests that bariatric surgery significantly reduces post-operative atrial fibrillation, mortality, and hospital readmission among obese patients with heart failure.Our findings demonstrate that bariatric surgery should be considered as a viable intervention in obese patients with heart failure. Further studies are warranted to confirm our findings.Forest Plots of Outcomes Assessed

Background: Outcomes of device-detected AF remain unclear in individuals without a prior history of AF. Methods: A meta-analysis was conducted to evaluate outcomes in individuals with no prior history of AF who experienced device-detected AF. Outcomes assessed were clinical AF, thromboembolism and all-cause mortality. A fixed-effects model was used to calculate RRs with 95% CI. Results: Compared to individuals who did not experience device-detected AF, those who did had increased risks of clinical AF (RR 3.33, 95% CI [1.99–5.57]; p<0.0001) and thromboembolic events (RR 2.21; 95% CI [1.72–2.85]; p<0.0001). The risk of all-cause mortality was similar between both groups (RR 1.19; 95% CI [0.95–1.49]; p=0.13). Subgroup analysis revealed an increased risk of thromboembolic events among device-detected AF ≥24 hours (RR 12.34; 95% CI [2.70–56.36]). Conclusion: While there is an increased risk of clinical AF and thromboembolism in individuals with device-detected AF, mortality was insignificant.

Introduction and importance: Chest pain is one of the most prevalent complaints amongst individuals presenting in healthcare settings, encompassing a broad spectrum of etiologies. Work-up for chest pain often focuses on excluding life-threatening conditions before the consideration of atypical causes. Case presentation: A 47-year-old male with a past medical history of tobacco use and depression presented with persistent left-sided chest pain. Vitals on arrival were notable for mild hypertension. Two consecutive high-sensitivity troponins were unremarkable. The electrocardiogram showed sinus rhythm with no ischemic changes. Due to the atypical presentation of chest pain, the patient’s home medications were reviewed, and his bupropion was discontinued due to concern for medication-induced chest pain. The patient was discharged and presented 2 days for follow-up endorsing complete resolution of his chest pain. Clinical discussion: Prior investigations have shown bupropion to be associated with chest pain, with resolution noted after discontinuation. The etiology of chest pain is likely sympathomimetic, as bupropion has been shown to exhibit positive inotropic effects on myocardial tissue, propagated by catecholamine release. Conclusion: Patients taking bupropion may present with atypical chest pain. Medication discontinuation may be beneficial in alleviating symptoms.

Introduction and importance: Chest pain is a frequent reason patients seek medical attention. The broad spectrum of potential etiologies makes determining the underlying cause of chest pain complex. Among cardiovascular etiologies, aortitis is a rare but life-threatening possibility that should be considered in the differential diagnosis. Case presentation: A 53-year-old female with a history of smoking presented with progressively worsening chest and epigastric pain over several weeks. She had seen multiple physicians previously for the same symptoms with unremarkable work-ups. Physical examination was notable for severe tenderness upon palpation of her lower abdomen. The electrocardiogram and troponins were unremarkable. Computed tomography of the abdomen revealed aneurysmal dilatation of the abdominal aorta, soft tissue thickening, and surrounding inflammatory stranding, consistent with aortitis. Infectious and autoimmune work-ups were unremarkable. Intravenous steroids were initiated, and her symptoms improved significantly. Her aortitis was attributed to inflammation secondary to chronic smoking. Clinical discussion: Aortitis is a rare condition with varied clinical presentations. Etiologies of aortitis include infection and non-infectious inflammation. Diagnosis of aortitis requires a thorough clinical assessment and prompt imaging of the aorta, with computed tomography being the preferred imaging modality. Conclusion: Evaluation for cardiovascular chest pain must extend beyond an electrocardiogram and troponin level. Imaging should be considered in patients with atypical symptoms. Aortitis is a rare but important diagnosis requiring immediate treatment.