Out with the old: Single center experience with transvenous extraction of leads older than 15 years

BACKGROUND

Lead dwell time is the single strongest predictor of failure and complications in transvenous lead extraction.

OBJECTIVES

To report the success rate and complications of transvenous lead extractions with implant dwell time of at least 15 years.

METHODS

Procedural and patient data were prospectively collected into a database. The excimer laser was the primary method for lead extraction with the use of mechanical rotational sheaths and femoral snares at operator discretion.

RESULTS

A total of 442 patients between 2011 and 2020 underwent lead extraction (705 leads) primarily for infection or device failure at our high-volume center. Forty-one patients with 71 leads > 15 years old were included in this cohort. Mean patient age was 53.5 ± 18.5 years, 67.5% were male. Mean lead dwell time was 19.6 ± 4.4 years. Thirty-six of 41 (88%) patients had successful extraction of all leads compared to 96% in the remaining 401 patients, p value.004. Of the five patients without fully successful extractions two of these patients had abandoned leads (three total) that were clinically significant. There were two (4.9%) major complications in the very old lead group and six (1.5%) in the other group. In the very old lead group, one patient experienced right atrial appendage perforation requiring surgical repair and recovered well. One patient experienced new complete heart block requiring 2 min of CPR but did well thereafter. There was no procedure-related mortality.

CONCLUSIONS

Despite challenges posed by older leads, very old leads can be safely and effectively extracted with low complication rates.

Impact of COVID-19 pandemic on the volume, cost, and outcomes of cardiac electrophysiology procedures in the United States

BACKGROUND

During the COVID-19 pandemic, professional societies recommended deferral of elective procedures for optimal resource utilization.

OBJECTIVE

We sought to assess changes in procedural trends and outcomes of electrophysiology (EP) procedures during the pandemic.

METHODS

National Inpatient Sample databases were used to identify all EP procedures performed in the United States (2016-2020) by International Classification of Diseases, Tenth Revision codes. We evaluated trends in utilization, cost/revenue, and outcomes from EP procedures performed.

RESULTS

An estimated 1.35 million EP procedures (82% devices and 18% catheter ablations) were performed (2016-2020) with significant yearly uptrend. During the pandemic, there was a substantial decline in EP procedure utilization from a 5-year peak of 298 cases/million population in the second quarter of 2019 to a nadir of 220 cases in the second quarter of 2020. In 2020, the pandemic was associated with the loss of 50,233 projected EP procedures (39,337 devices and 10,896 ablations) with subsequent revenue loss of $7.06 billion. This deficit was driven by revenue deficit from dual-chamber permanent pacemaker (PPM) utilization ($2.88 billion, 49.3% of lost cases), ablation procedures ($1.84 billion, 21.7% of lost cases), and implantable cardioverter-defibrillator implantation ($1.36 billion, 12.0% of lost cases). To the contrary, there was a 9.4% increase in the utilization of leadless PPM. EP device implantation during the pandemic was associated with higher adverse in-hospital events (9.4% vs 8.0%; P < .001).

CONCLUSION

In the United States, the significant decline in EP procedures during the pandemic was primarily driven by the reduction in dual-chamber PPM utilization, followed by arrhythmia ablation and implantable cardioverter-defibrillator implantation. There was a substantial increase in leadless PPM utilization during the pandemic.

Stellate Ganglion Blockade With Continuous Infusion Versus Single Injection for Treatment of Ventricular Arrhythmia Storm

OBJECTIVES

This study sought to compare the efficacy and safety of single-injection stellate ganglion block (SGB) with a novel continuous-infusion SGB procedure.

BACKGROUND

SGB for ventricular arrhythmia (VA) storm is typically performed with a single injection of local anesthetic agents.

METHODS

Eighteen patients underwent left-sided SGB (9 single injection and 9 continuous infusion). The number of implantable cardioverter-defibrillator therapies and sustained VAs/24 h were compared between the pre-SGB and post-SGB periods. Adverse effects of SGB and in-hospital outcomes were also compared.

RESULTS

The mean age was 61.1 ± 13.7 years. The presenting arrhythmia was ventricular tachycardia in 13 (72%) patients, ventricular fibrillation in 4 (22%), and both in 1 (6%). Single-injection SGB reduced VA/24 h by a median of 0.3 (interquartile range: 0.2 to 0.9), which was a 45% reduction (p = 0.008), resulting in 5 of 9 patients with no recurrent VA. Continuous-infusion SGB reduced VA/24 h by a median of 2.0 (interquartile range: 1.3 to 3.0), which was a 94% reduction (p = 0.004), resulting in 7 of 9 patients with no recurrent VA (p = 0.006 for comparison with single injection). Transient left arm weakness and voice hoarseness were each noted in 1 patient in both groups. Repeat SGB was required in 4 (44%) patients in the single-injection group. In-hospital outcomes were similar between the groups.

CONCLUSIONS

In patients with VA storm, SGB performed via both continuous-infusion and single-injection approaches provided significant reductions in VA burden. Compared to single-injection SGB, continuous-infusion was associated with a greater reduction in VA burden and similar adverse events, without the need for repeat procedures.

Rates of Potentially Inappropriate Dosing of Direct-Acting Oral Anticoagulants and Associations With Geriatric Conditions Among Older Patients With Atrial Fibrillation: The SAGE-AF Study

Background

Direct‐acting oral anticoagulant (DOAC) dosing guidelines for atrial fibrillation recommend dose alteration based on age, renal function, body weight, and drug‐drug interactions. There is paucity of data describing the frequency and factors associated with prescription of potentially inappropriate doses.

Methods and Results

In the ongoing SAGE‐AF (Systematic Assessment of Geriatric Elements in Atrial Fibrillation) study, we performed geriatric assessments (frailty, cognitive impairment, sensory impairments, social isolation, and depression) for participants with atrial fibrillation (age ≥65 years, CHA₂DS₂VASc ≥2, no anticoagulant contraindications). We developed an algorithm to analyze DOAC dose appropriateness accounting for drug‐drug interactions, age, renal function, and body weight. We also examined whether geriatric impairments were related to inappropriate dosing. Of 1064 patients prescribed anticoagulants, 460 received a DOAC. Participants were aged 74±7 years, 49% were women, and 82% were white. A quarter (23%; n=105) of participants received inappropriate DOAC dose, of whom 82 (78%) were underdosed and 23 (22%) were overdosed. Among participants receiving an inappropriate dose, 12 (11%) were identified using the drug‐drug interactions criteria and would have otherwise been misclassified. In multivariable regression analyses, older age, higher CHA₂DS₂VASc score, and history of renal failure were associated with inappropriate DOAC dosing (P<0.05). Geriatric conditions were not associated with inappropriate dosing.

Conclusions

In this cohort, over 20% of older patients with atrial fibrillation treated with DOACs were prescribed an inappropriate dose, with most being underdosed. Drug‐drug interactions were common. Factors that influence prescription of guideline‐nonadherent doses may be perception of higher bleeding risk or presence of renal failure in addition to lack of familiarity with dosing guidelines.

Micro-RNAs Are Related to Epicardial Adipose Tissue in Participants With Atrial Fibrillation: Data From the MiRhythm Study

Introduction: Epicardial adipose tissue (EAT) has been linked to incidence and recurrence of atrial fibrillation (AF), but the underlying mechanisms that mediate this association remain unclear. Circulating microRNAs (miRNAs) contribute to the regulation of gene expression in cardiovascular diseases, including AF. Thus, we sought to test the hypothesis that circulating miRNAs relate to burden of EAT.

Methods: We examined the plasma miRNA profiles of 91 participants from the miRhythm study, an ongoing study examining associations between miRNA and AF. We quantified plasma expression of 86 unique miRNAs commonly expressed in cardiomyocytes using quantitative reverse transcriptase polymerase chain reaction (qPCR). From computed tomography, we used validated methods to quantify the EAT area surrounding the left atrium (LA) and indexed it to body surface area (BSA) to calculate indexed LA EAT (iLAEAT). Participants were divided into tertiles of iLAEAT to identify associations with unique miRNAs. We performed logistic regression analyses adjusting for factors associated with AF to examine relations between iLAEAT and miRNA. We performed further bioinformatics analysis of miRNA predicted target genes to identify potential molecular pathways are regulated by the miRNAs.

Results: The mean age of the participants was 59 ± 9, 35% were women, and 97% were Caucasian. Participants in the highest tertile of iLAEAT were more likely to have hypertension, heart failure, and thick posterior walls. In regression analyses, we found that miRNAs 155-5p (p < 0.001) and 302a-3p (p < 0.001) were significantly associated with iLAEAT in patients with AF. The predicted targets of the miRNAs identified were implicated in the regulation of cardiac hypertrophy, adipogenesis, interleukin-8 (IL-8), and nerve growth factor (NGF) signaling.

Conclusion: miRNA as well as EAT have previously been linked to AF. Our finding that iLAEAT and miRNAs 155-5p and 302a-3p are associated suggest a possible direct link to between these entities in the development and maintenance of AF. Further research is needed to study causal relationships between these biomarkers.

Age-and-sex stratified prevalence of atrial fibrillation in rural Western India: Results of SMART-India, a population-based screening study

BACKGROUND

Early detection of Atrial Fibrillation (AF) is a public health priority across the globe because AF-related strokes are preventable. Despite an ongoing stroke epidemic in India, a public health strategy for AF screening and treatment is missing because the epidemiology of AF in India remains poorly defined.

METHODS

This population-based study used mobile technology to derive age and sex-stratified AF prevalence by screening 7 participants in each of six age and sex strata (age 40-55, 56-65, 65+, and male and female) from 50 villages (2100 participants). A health worker from each village used a handheld digital electrocardiogram (iECG) device (Kardia) to screen for AF on 3 separate days, and administered a questionnaire. All abnormal (AF or unclassified) iECGs were reviewed by the Indian cardiologist and AF determination confirmed by a US-based cardiac electrophysiologist.

RESULTS

Of the 2100 individuals enrolled, iECGs were collected from 2074 participants (98.8%) and 1947 (92.7%) participants responded to the questionnaire. AF was identified in 33 participants (1.6%), two-thirds on the first iECG. AF prevalence was higher among males (2.3% vs 1.0%, p = 0.03) and in older people (0.6%, 0.9%, 2.1%, 5.6%; p < 0.01).

CONCLUSIONS

The prevalence of AF observed in our population-based sample is comparable to rates found in studies from North America and Western Europe and increases similarly with age. AF screening using village health workers in rural India is feasible and presents an opportunity for a strategy to address the stroke epidemic in India through primary prevention.

Relational Dynamic Bayesian Networks

Stochastic processes that involve the creation of objects and relations over time are widespread, but relatively poorly studied. For example, accurate fault diagnosis in factory assembly processes requires inferring the probabilities of erroneous assembly operations, but doing this efficiently and accurately is difficult. Modeled as dynamic Bayesian networks, these processes have discrete variables with very large domains and extremely high dimensionality. In this paper, we introduce relational dynamic Bayesian networks (RDBNs), which are an extension of dynamic Bayesian networks (DBNs) to first-order logic. RDBNs are a generalization of dynamic probabilistic relational models (DPRMs), which we had proposed in our previous work to model dynamic uncertain domains. We first extend the Rao-Blackwellised particle filtering described in our earlier work to RDBNs. Next, we lift the assumptions associated with Rao-Blackwellization in RDBNs and propose two new forms of particle filtering. The first one uses abstraction hierarchies over the predicates to smooth the particle filter's estimates. The second employs kernel density estimation with a kernel function specifically designed for relational domains. Experiments show these two methods greatly outperform standard particle filtering on the task of assembly plan execution monitoring.