Most patients who receive implantable cardioverter defibrillators (ICDs) for primary prevention do not receive therapy during the lifespan of the ICD, whilst up to 50% of sudden cardiac death (SCD) occur in individuals who are considered low risk by conventional criteria. Machine learning offers a novel approach to risk stratification for ICD assignment. Systematic search was performed in MEDLINE, Embase, Emcare, CINAHL, Cochrane Library, OpenGrey, MedrXiv, arXiv, Scopus, and Web of Science. Studies modelling SCD risk prediction within days to years using machine learning were eligible for inclusion. Transparency and quality of reporting (TRIPOD) and risk of bias (PROBAST) were assessed. A total of 4356 studies were screened with 11 meeting the inclusion criteria with heterogeneous populations, methods, and outcome measures preventing meta-analysis. The study size ranged from 122 to 124 097 participants. Input data sources included demographic, clinical, electrocardiogram, electrophysiological, imaging, and genetic data ranging from 4 to 72 variables per model. The most common outcome metric reported was the area under the receiver operator characteristic (n = 7) ranging between 0.71 and 0.96. In six studies comparing machine learning models and regression, machine learning improved performance in five. No studies adhered to a reporting standard. Five of the papers were at high risk of bias. Machine learning for SCD prediction has been under-applied and incorrectly implemented but is ripe for future investigation. It may have some incremental utility in predicting SCD over traditional models. The development of reporting standards for machine learning is required to improve the quality of evidence reporting in the field.

Cardiac arrhythmias are a growing global health concern, and the need for accessible, continuous monitoring has driven rapid advancements in wearable technologies. This review explores the evolution, capabilities, and clinical impact of modern wearables for arrhythmia detection, including smartwatches, smart rings, ECG patches, and smart textiles. In light of the recent surge in commercially available wearables across all categories, this review offers a detailed comparative analysis of leading devices, evaluating cost, regulatory approval, model specifications, and system compatibility. Smartwatches and patches, in particular, show a strong performance in atrial fibrillation detection, with patches outperforming Holter monitors in long-term monitoring and diagnostic yield. This review highlights a paradigm shift toward patient-initiated diagnostics but also discusses challenges such as false positives, regulatory gaps, and healthcare integration. Overall, wearable devices hold significant promise for reshaping arrhythmia management through early detection and remote monitoring.

Background and objectives: Atrial fibrillation (AF), the most prevalent sustained arrhythmia, poses a significant public health challenge due to its links with stroke, heart failure, and mortality. Hypertension, a primary modifiable cardiovascular risk factor, is a well-established risk factor for AF that facilitates structural and electrical changes in the atria, including dilation, fibrosis, and pressure overload. Material and Methods: we conducted a literature search regarding the shared mechanisms, risks and treatments of hypertension and atrial fibrillation. Results: The renin–angiotensin–aldosterone system plays a pivotal role in this remodelling and inflammation, increasing AF susceptibility. Uncontrolled hypertension complicates AF management, diminishing the effectiveness of mainstay treatments, including antiarrhythmic drugs, catheter ablation, and cardioversion. Effective blood pressure management, particularly with therapies targeting the renin–angiotensin–aldosterone system (RAAS), can lower the risk of new-onset AF and reduce the incidence of recurrent AF, enhancing the success of rhythm control strategies. These antihypertensive therapies mitigate myocardial hypertrophy and fibrosis and attenuate both atrial pressure strain and the inflammatory response, mitigating the substrates for AF. Conclusion: This review highlights the urgent need for integrated strategies that combine BP control, AF screening, and lifestyle modifications to minimise the burden of AF and its complications. Future research should investigate the specific mechanisms of cellular-level interactions associated with a hypertensive predisposition to AF, including systematic inflammation and the role of genetics, the impact of blood pressure variations on AF risk, and individualised treatment strategies specifically targeting the shared mechanisms, simultaneously propagating hypertension and AF.

Atrial fibrillation (AF) is the most common arrhythmia worldwide. Data regarding 30-day readmission following index admission for AF in the developing world are poorly described. The study aimed to assess the rate, predictors, and trends of 30-day readmission after index admission for AF in Syria. We included adult patients who had an index admission with AF to Latakia’s tertiary center between June 2021 and October 2023. Patients were monitored for readmission for 30 days after index discharge. Data were taken from patients’ medical notes. A total of 661 patients were included in the final analysis, of which 282 (43%) were readmitted to hospital within 30 days following index admission. Cardiac causes were the most common cause of readmission in 72% of patients, of which 60% were AF. Readmitted patients had a higher median age (62 years vs 57 years, P = .001), and there were fewer males (58% vs 51%, P = .001). In multivariate analysis, factors that independently increased 30-day readmission risk were older age (hazard ratio [HR] 1.5, 95% confidence interval [CI] 1.1–1.9), female sex (HR 1.3, 95% CI 1.02–1.4), diabetes mellitus (HR 1.7, 95% CI 1.3–2.3), and congestive heart failure (HR 2.2, 95% CI 1.7–2.9). Most cardiac readmissions happened during the first 15 days (79%). Almost 1 in 2 patients were readmitted within 30 days after an index admission for AF. Female sex, advancing age, diabetes mellitus, and congestive heart failure were independently associated with an increased risk of 30-day readmission.

Background: Atrial fibrillation (AF) is the most common sustained arrhythmia worldwide. However, there is no data on AF inpatient management strategies and clinical outcomes in Syria. Objectives: The study aims were to review the inpatient management of patients with AF and assess cardiovascular (CV) mortality in a tertiary cardiology centre in Latakia, Syria. Methods: A single-centre retrospective observational cohort study was conducted at Tishreen’s University Hospital, Latakia, Syria, from June 2021 to June 2023. Patients ≥16 years of age presenting and being treated for AF as the primary diagnosis with or without a thromboembolic event were included. Medical records were examined for patients’ demographics, laboratory results, treatment plans and inpatient details. Studied outcomes include inpatient all-cause and CV mortality, ischemic and bleeding events, and conversion to sinus rhythm (SR). Results: The study included 596 patients. The median age was 58, and 61% were males. 121 patients (20.3%) were known to have AF. A rhythm control strategy was pursued in 39% of patients. Ischemic and bleeding events occurred in 62 (11%) and 12 (2%), respectively. CV and all-cause mortality occurred in 28 (4.7%) and 31 patients (5%), respectively. The presence of valvular heart disease (VHD) (adjusted odds ratio (aOR) = 9.1, 95% confidence interval (CI): 1.7 to 55.1, p < .001), thyroid disease (aOR: 9.7, 95% CI = 1.2 to 91.6, p < .001) and chronic obstructive pulmonary disease (COPD) (aOR: 82, 95% CI: 12.7 to 71, p < .001) were independent risk factors of increased CV inpatient mortality. Conclusion: Syrian inpatients admitted with AF in Latakia are relatively younger than those in other countries. Active thyroid disease, COPD and VHD were independent risk factors of inpatient CV mortality with AF.

Background: Atrial fibrillation (AF) is the most common arrhythmia worldwide. Data regarding readmission for new congestive heart failure (CHF) following index admission for AF in the developing world are poorly described. Objectives: The study aimed to assess the rate, predictors, and outcomes of 120-day CHF readmission after index admission for AF in Syria. Methods: This retrospective cohort study collected all adult patients without known CHF who had an index admission with AF to Latakia’s tertiary center between June 2021-December 2023. Data were taken from patients’ medical notes. The primary outcome included readmission with incident CHF within 120 of index discharge, and secondary outcomes included predictors and outcomes of these CHF readmissions. Results: A total of 660 patients were included in the final analysis, of which 69 (11.7%) were readmitted with new CHF within 120 days of index discharge. Readmitted patients had higher median age (58 vs 70 years, p < .001). Factors that independently increased 120-day CHF incidence were age ≥60 years (HR: 9.8, 95% CI: 4.8-23.6, p < .001), diabetes mellitus (DM) (HR:2.9, 95% CI:1.7-4.9, p < .001), valvular heart disease (VHD) (HR:1.7, 95% CI:1.04-2.78, p = .047), and hypertension (HR:2.5, 95% CI:1.5-4, p < .001). Inpatient mortality occurred in six readmitted patients (9%). LVEF <40% (HR:6.7, 95% CI: 24.31, p = .01) and DM (HR:7.2, 95% CI: 1.9-33, p = .004) were independently associated with inpatient mortality. Conclusion: Hospitalization for new CHF was common in Syrian patients discharged with AF. The clinical predictors of incident CHF emphasize the importance of integrated management of lifestyle risk factors and common comorbidities in AF patients to optimize outcomes in resource-depleted communities.