The impact of complications related to transvenous lead extraction on the 12-month prognosis: Insights from the SILCARD registry.

BACKGROUND: Scant data exist on long-term outcomes, including death, in patients with complica-tions related to transvenous lead extractions (TLE). AIMS: We sought to characterize the population and examine the outcomes including risk factors for in-hospital complications and 12-month mortality and morbidity related to the complications in a large administrative database of patients undergoing TLE. RESULTS: From the database of patients hospitalized for cardiovascular diseases and included in the Silesian Cardiovascular Database (SILCARD) registry, we selected the admissions of those who underwent TLE according to the appropriate ICD-9 codes. The patients were divided into two groups based on whether they did or did not manifest any complications during their hospitalization for the TLE procedure. Between 2007 and 2019, we found a total of 835 patients who underwent TLE. TLE-related complications occurred in 56 patients (6.7%) of the Complications-Yes group while no complications were recorded in 779 (93.3%) patients of the Complications-No group. A significant difference in the rate of all-cause mortality (23.9% vs. 6.5%; P <0.001) and major adverse cardiac events (MACE) (58.7% vs. 39.4%; P = 0.01) between the Complications-Yes and Complications-No groups were recorded. Multivariable analysis of the entire study population revealed that prior dialysis, chronic kidney disease, and ventricular tachycardia were independent factors of a higher risk of TLE-related in-hospital complications. Multivariable analysis of the patients discharged from the hospital after the TLE procedure showed that TLE-related complications, a history of heart failure, and older age independently affected 12-month mortality. CONCLUSIONS: The presence of TLE-related in-hospital complications increased 12-month mortality.

Predicting Silent Atrial Fibrillation in the Elderly: A Report from the NOMED-AF Cross-Sectional Study.

BACKGROUND: Silent atrial fibrillation (SAF) is common and is associated with poor outcomes. AIMS: to study the risk factors for AF and SAF in the elderly (≥65 years) general population and to develop a risk stratification model for predicting SAF. METHODS: Continuous ECG monitoring was performed for up to 30 days using a vest-based system in a cohort from NOMED-AF, a cross-sectional study based on a nationwide population sample. The independent risk factors for AF and SAF were determined using multiple logistic regression. ROC analysis was applied to validate the developed risk stratification score. RESULTS: From the total cohort of 3014 subjects, AF was diagnosed in 680 individuals (mean age, 77.5 ± 7.9; 50.1% men) with AF, and, of these, 41% had SAF. Independent associations with an increased risk of AF were age, male gender, coronary heart disease, thyroid diseases, prior ischemic stroke or transient ischemic attack (ICS/TIA), diabetes, heart failure, chronic kidney disease (CKD), obesity, and NT-proBNP >125 ng/mL. The risk factors for SAF were age, male gender, ICS/TIA, diabetes, heart failure, CKD, and NT-proBNP >125 ng/mL. We developed a clinical risk scale (MR-DASH score) that achieved a good level of prediction in the derivation cohort (AUC 0.726) and the validation cohort (AUC 0.730). CONCLUSIONS: SAF is associated with various clinical risk factors in a population sample of individuals ≥65 years. Stratifying individuals from the general population according to their risk for SAF may be possible using the MR-DASH score, facilitating targeted screening programs of individuals with a high risk of SAF.