BACKGROUND: Ultrasound (US)-guided axillary vein puncture (AVP) is an established technique for cardiac implantable electronic device (CIED) implantation. Yet real-world data concerning shifting from conventional venous access into US-guided AVP are not widely available. METHODS: This is a single-center prospective registry reporting safety (complications) and efficacy (success rate: i.e., accomplishment of the vein access utilizing only the initially employed approach) of self-taught US-guided AVP integration into the standard workflow of CIED procedures. RESULTS: A total of 539 patients (mean age 71.5 ± 12.4 years old, 78.7% males) were treated in our institution over a three-year period. Regarding CIED type and lead number, 58.3% used an implantable cardioverter defibrillator, 32% used permanent pacemakers, and two leads were involved in 65.8% of the cases and three leads in 8.9%. Before integration of US-guided AVP, the venous access success rate was 93.5%. The US-guided AVP success rate was 377/400 procedures (94.2%). After the first semester of US-guided AVP utilization, a pattern of increased success rate was observed ( = 0.002) and remained stable over the following semesters. No major complication (periprocedural or 30-day mortality, hemothorax, pneumothorax and tamponade) occurred after US AVP integration in our workflow. CONCLUSIONS: The integration of US-guided AVP in a self-taught manner is feasible among electrophysiologists with experience in US-guided vascular access. A high success rate can be reached quickly and safely.

: The triglyceride-glucose (TyG) index is an accessible surrogate marker of insulin resistance and has been increasingly investigated for its prognostic relevance in cardiovascular disease. However, evidence regarding its predictive value for major adverse cardiovascular events (MACEs) in patients with acute coronary syndromes (ACSs) remains inconsistent. This study systematically assessed the association between TyG index and the risk of MACEs in individuals with ACS. : Following PRISMA 2020 guidelines, PubMed, ScienceDirect, and ClinicalTrials.gov were searched through October 2025. Ten observational cohort studies including 32,751 ACS patients were analyzed. Studies reporting fully adjusted hazard ratios (HRs) for the association between TyG index and MACEs were eligible. A random-effects model was used to pool effect sizes expressed as adjusted HRs per 1-unit increase in the TyG index. Heterogeneity, sensitivity analyses, publication bias assessment, and meta-regression were conducted. : Higher TyG index values were significantly associated with increased MACE risk (pooled adjusted HR 1.45, 95% CI 1.25-1.68, I = 80%). Leave-one-out analysis confirmed robustness. Meta-regression analysis suggested a stronger association in cohorts consisting exclusively of patients with type 2 diabetes mellitus, with a trend toward larger effect estimates in smaller studies, potentially contributing to the observed heterogeneity. Despite small-study effects, trim-and-fill-adjusted estimates remained significant (HR 1.26, 95% CI 1.05-1.52). : An elevated TyG index is independently associated with higher MACE risk in ACS patients and may be considered as an additive metabolic risk marker in combination with established risk stratification tools, pending further prospective validation.

BACKGROUND: Myocardial infarction with non-obstructive coronary arteries (MINOCA) is a heterogeneous condition with variable outcomes. The prognostic value of common clinical risk factors for major adverse cardiac events (MACEs) and all-cause mortality remains unclear. This study systematically evaluates associations between traditional risk factors and adverse outcomes in MINOCA. METHODS: A systematic review and meta-analysis was conducted to assess pooled hazard ratios (HRs) for clinical variables associated with MACEs and all-cause mortality. Eligible studies reporting HRs with at least 6 months of follow-up were included. Random-effects models were used to derive pooled estimates. RESULTS: Eleven studies including 12,081 patients were analyzed. Over a mean follow-up of 49.2 months, pooled MACEs incidence was 17% (95% CI: 11-26%) and all-cause mortality was 10% (95% CI: 8-14%). Older age increased the risk of MACEs (HR: 1.02; 95% CI: 1.01-1.04), while higher BMI was protective (HR: 0.92; 95% CI: 0.86-0.99). For all-cause mortality, significant predictors included age (HR: 1.04 per year), diabetes (HR: 1.33; 95% CI: 1.07-1.64), creatinine (HR: 1.01; 95% CI: 1.0009-1.02), and STEMI-pattern presentation (HR: 2.85; 95% CI: 1.09-7.44). Higher BMI (HR: 0.89; 95% CI: 0.82-0.98) and dyslipidemia (HR: 0.83; 95% CI: 0.76-0.90) were associated with lower mortality. CONCLUSION: Only select clinical variables predict outcomes in MINOCA, while many traditional MI risk factors do not. These findings highlight the need for MINOCA-specific risk models and targeted management strategies.