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BACKGROUND AND AIMS: Prophylactic implantable cardioverter-defibrillators (ICDs) are not recommended until left ventricular ejection fraction (LVEF) has been reassessed 40 to 90â days after an acute myocardial infarction. In the current therapeutic era, the prognosis of sustained ventricular arrhythmias (VAs) occurring during this early post-infarction phase (i.e. within 3â months of hospital discharge) has not yet been specifically evaluated in post-myocardial infarction patients with impaired LVEF. Such was the aim of this retrospective study. METHODS: Data analysis was based on a nationwide registry of 1032 consecutive patients with LVEF ≤ 35% after acute myocardial infarction who were implanted with an ICD after being prescribed a wearable cardioverter-defibrillator (WCD) for a period of 3â months upon discharge from hospital after the index infarction. RESULTS: ICDs were implanted either because a sustained VA occurred while on WCD (VA+/WCD, n = 72) or because LVEF remained ≤35% at the end of the early post-infarction phase (VA-/WCD, n = 960). The median follow-up was 30.9â months. Sustained VAs occurred within 1â year after ICD implantation in 22.2% and 3.5% of VA+/WCD and VA-/WCD patients, respectively (P < .0001). The adjusted multivariable analysis showed that sustained VAs while on WCD independently predicted recurrence of sustained VAs at 1â year (adjusted hazard ratio [HR] 6.91; 95% confidence interval [CI] 3.73-12.81; P < .0001) and at the end of follow-up (adjusted HR 3.86; 95% CI 2.37-6.30; P < .0001) as well as 1-year mortality (adjusted HR 2.86; 95% CI 1.28-6.39; P = .012). CONCLUSIONS: In patients with LVEF ≤ 35%, sustained VA during the early post-infarction phase is predictive of recurrent sustained VAs and 1-year mortality.
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AIMS: The MADIT-ICD benefit score is used to stratify the risk of life-threatening arrhythmia and non-arrhythmic mortality. We sought to develop an implantable cardioverter defibrillator (ICD) benefit-prediction score for Japanese patients with ICDs. METHODS: Patients who underwent ICD implantation as primary prophylaxis were retrospectively enrolled. Based on their MADIT-ICD benefit scores, we developed a modified MADIT-ICD benefit score adapted to the Japanese population. The primary endpoints were appropriate ICD therapy and all-cause death without appropriate ICD therapy (non-arrhythmic death). We used the Fine and Gray multivariate model and Cox proportional hazard regression to identify factors for adjusting the MADIT-ICD benefit-risk score specifically for the Japanese population. The scoring points for the original MADIT-ICD benefit score were adjusted to optimal points based on the multivariate analysis results in the population. RESULTS: The study enrolled 167 patients [age, 61.9 ± 12.3 years; male individuals, 138 (82.6%); cardiac resynchronization therapy, 73 (43.7%); ischaemic cardiomyopathy, 53 (31.7%)]. Fourteen patients received anti-tachycardia pacing (ATP) therapy, and 23 received shock therapy as the initial appropriate ICD therapy. Non-arrhythmic deaths occurred in 37 patients. The original MADIT-ICD benefit score could not stratify non-arrhythmic mortality in the Japanese population. The patients were reclassified into three groups according to the modified MADIT-ICD benefit score. The modified MADIT-ICD benefit score could effectively stratify the incidence of appropriate ICD therapy and non-arrhythmic mortality. In the highest-benefit group, the 10 year cumulative rates of appropriate ICD therapy and non-arrhythmic mortality were 56.8% and 12.9%, respectively (P < 0.01). In the intermediate-benefit group, these rates were 20.2% and 40.2% (P = 0.01). In the lowest-benefit group, the incidence of non-arrhythmic deaths was 68.1%, and no patient received appropriate ICD therapy. CONCLUSIONS: The modified MADIT-ICD benefit score may be useful for stratifying ICD candidates in the Japanese population.
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The "bystander effect," in which the presence of others inhibits rescue actions, has not been specifically examined in the context of cardiac arrest; understanding this effect in relation to rescue with automated external defibrillators (AEDs) is important. This study aims to identify the presence of others as a factor inhibiting rescue actions using an AED, from a social psychology perspective. We collected data through a web-based questionnaire involving registered residents in all 47 prefectures of Japan. The participants were presented with hypothetical scenarios of witnessing cardiac arrest events at train stations, under sparse or crowded conditions, and with or without the presence of competent parties (e.g., station staff or security guards). Their willingness to intervene was assessed across three levels of rescue behavior: (1) running and calling for help, (2) retrieving an AED, and (3) using an AED. This study found evidence of the bystander effect, indicating that the presence of competent others reduced behavioral interventions by bystanders during out-of-hospital cardiac arrest (OHCA) events. Moreover, the perceived presence of competent parties at the scene of a cardiac arrest reduced bystanders' willingness to initiate rescue under certain circumstances. While many bystanders were willing to initiate rescue efforts in response to calls for help, they resisted rescues involving an AED. This study observes that a bystander effect occurs among bystanders witnessing OHCA, explores the inhibiting effects of identifying competent parties on the initiation of rescue efforts, and suggests that there are significant invisible barriers to using AEDs in rescuing patients with OHCA.
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Background: Patients with hypertrophic cardiomyopathy (HCM) are at increased risk of developing cardiac arrhythmias and have a high prevalence of cardiac implantable electronic device (CIED) use. Tricuspid regurgitation (TR) is a potential complication of device leads and can be severe enough to prompt surgical intervention. Methods: We identified 21 consecutive patients who underwent tricuspid valve (TV) surgery for device lead-induced TR late following septal myectomy (SM) for obstructive HCM. The primary endpoint was long-term all-cause mortality. Results: The median patient age was 63 years (range, 55-71 years), 19 patients (91%) had New York Heart Association class III or IV limitation, and all patients were receiving diuretics for right heart failure. The median interval between device implantation and TV surgery was 4 years (range, 1.5-8.5 years). Eight patients (38%) underwent pacemaker implantation due to complete heart block following SM. Preoperatively, TR was severe in 81% of the patients. The primary mechanism of lead-induced TR was leaflet impingement without adherence (n = 15; 75%). Nine patients (43%) underwent TV replacement, and 12 patients (57%) underwent repair. Only 1 patient died early postoperatively. Patients with lead-induced TR had markedly reduced long-term survival compared to the overall population of patients undergoing SM; 5-year survival was 58%, compared to 96% for the contemporary SM group. Conclusions: Late lead-induced TR is a potential complication of CIEDs in patients with HCM who have undergone SM. Although TV repair and replacement can be done with acceptable early mortality, late patient survival is poor.
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Background: Early cardiopulmonary resuscitation and defibrillation is key to increasing survival following an out-of-hospital-cardiac-arrest (OHCA). However, automated external defibrillators (AEDs) are used in a very small percentage of cases. Despite large numbers of AEDs in the community, the absence of a unified system for registering their locations across the UK's ambulance services may have resulted in missed opportunities to save lives. Therefore, representatives from the resuscitation community worked alongside ambulance services to develop a single repository for data on the location of AEDs in the UK. Methods: A national defibrillator network, "The Circuit", was developed by the British Heart Foundation in collaboration with the Association of Ambulance Chief Executives, the UK ambulance services, the Resuscitation Council UK and St John Ambulance. The database allows individuals or organisations to record information about AED location, accessibility, and availability. The database synchronises with ambulance computer aided dispatch systems to provide UK ambulance services with real-time information on the nearest, available AED. Results: The Circuit was successfully rolled out to all 14 UK ambulance services. Since 2019, 82,108 AEDs have been registered. Of the AED data collected by The Circuit, 54% were not previously registered to any ambulance service, and are therefore new registrations. Conclusion: The Circuit provides ambulance services with a single point of access to AED locations in the UK. Since the launch of the system the number of defibrillators registered has doubled. Linking the Circuit data with patient outcome data will help understand whether improving the accessibility to AEDs is associated with increased survival.
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Infections associated with cardiac implantable electronic devices (CIEDs) are increasing and are a cause of significant morbidity and mortality. This article summarizes the latest updates with respect to the epidemiology, microbiology, and risk factors for CIED-related infections. It also covers important considerations regarding the diagnosis, management, and prevention of these infections. Newer technologies such as leadless pacemakers and subcutaneous implantable cardioverters and defibrillators are discussed.
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The authors report for the first time to their knowledge, implantation of a standard implantable cardioverter-defibrillator lead for permanent delivery of left bundle branch area pacing. Implantation was successful and safe in 11 of 12 patients, with adequate defibrillation testing, good electrical and electrocardiographic parameters, and uneventful device-related short-term follow-up.
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INTRODUCTION: Physical activity has shown association with ventricular arrhythmia, however, the role of specific behavioral patterns over a 24-hour cycle remains unknown. Therefore, we aimed to explore associations between physical behavior and appropriate implantable cardioverter-defibrillator (ICD) therapy. METHODS: We included patients with an ICD at two European sites, who wore wrist-based accelerometers capturing 24-hour movement and sleep behaviors for 28 days. Behavioral measures included activity volume, duration and intensity, sleep duration and efficiency. Patients were followed for 12 months for the outcome of appropriate ICD therapy. Cox proportional hazard models with restricted cubic splines were used for the analysis. Lastly, the predictive capacity was tested. RESULTS: : A total of 253 ICD patients were included (mean age 63.8 (±10.2), 50 (19.8%) female). During follow-up, 40 patients (15.8%) received appropriate ICD therapy; 32 ATP only (12.6%), 5 shock only (2.0%) and 3 combined ATP and shock (1.2%). In the adjusted model, high inactive duration (HR 1.40 (95% 1.10-1.78), peak walking cadence (HR 1.07 (95% 1.03-1.12) and total sleep duration (HR 1.50 (1.02-2.22) were associated with the outcome. The dose-response relationship was U-shaped for inactive duration with a cutoff at 16 hours, and linear for peak cadence and sleep. The prediction model reached an AUROC of 0.70 ±0.03, with highest accuracy in the first months. CONCLUSION: Wearable-derived 24-hour movement and sleep behaviors collected over 28 days were associated with later appropriate ICD therapy risk. Testing of the predictive value of digital biomarkers for enhanced risk stratification of ventricular arrhythmia warrants larger prospective studies. TRIAL REGISTRATION: National Trial Registration (NL9218, http://onderzoekmetmensen.nl/).
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BACKGROUND: End-stage kidney disease (ESKD) patients are prone to bloodstream infections which may result in a higher risk of cardiac implantable electronic device (CIED) infections. OBJECTIVE: To assess the incidence, risk predictors, management strategies and long-term outcomes of CIED infections in ESKD patients undergoing de-novo CIED implantation. METHODS: This is a retrospective study utilizing the United States Renal Data System. ESKD patients with de-novo CIED implant between 1/1/2006-9/30/2014 were included. Patients were followed until death, kidney transplantation, end of Medicare coverage or 9/30/2015 to assess incidence of CIED infection. Management approach was determined from procedure codes for lead extraction within 60 days of CIED infection diagnosis. Patients with CIED infection were followed until 12/31/2019 to assess long-term outcomes. RESULTS: Among 15,515 ESKD patients undergoing de-novo CIED implant, incidence of CIED infection was 4.8% over a median follow-up of 1.3 years. The presence of a defibrillator (aHR 1.48), higher BMI (aHR 1.01), younger age (aHR 0.96) were independent risk factors for CIED infection. Lead extraction occurred in only 50.71% patients by 60 days. After propensity score matching, the 3-year mortality was higher in those who did not undergo lead extraction compared to those who did (80.3% vs 72.3%) and time to mortality was shorter (0.3 vs 0.6 years). Only 13.8% patients underwent reimplantation with a new CIED after lead extraction. CONCLUSION: CIED infections occur frequently in ESKD patients and are associated with a very high mortality. Early lead extraction is not performed routinely but is associated with improved survival.
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BACKGROUND: Risk stratification in patients with Brugada syndrome (BrS) is challenging, especially in those at intermediate risk. The Predicting Arrhythmic evenT (PAT) score has recently been demonstrated to be excellent for predicting future arrhythmic events in patients without prior ventricular fibrillation (VF). However, validation studies are lacking. OBJECTIVE: This study aimed to assess the performance of a novel risk stratification model in predicting future VF events in patients with BrS in a Japanese multicenter cohort. METHODS: The PAT score was calculated for 413 patients with BrS (mean age, 50.9±13.6 years; 395 men) from 59 hospitals in Japan, including 314 patients without prior VF. The incidence of developing VF during the follow-up period was investigated. RESULTS: During the 106.8-month follow-up period, 54 patients (13.1%) experienced VF events. Of the 314 patients without prior VF at enrollment, 14 (4.5%) experienced VF events. The incidence of VF events during the follow-up period was significantly higher in patients with PAT scores ≥10 than in those with scores <10 (41/173 [23.7%] vs. 13/240 [5.4%], p<0.0001) in the total cohort. No difference was observed in the incidence of VF events between patients with PAT scores ≥10 and <10 among the 314 patients without prior VF (6/86 [7.0%] vs. 8/228 [3.5%], p=0.22). PAT scores ≥10 predicted future VF events with a sensitivity and specificity of 42.9% and 73.3%, respectively. CONCLUSION: This Japanese multicenter registry demonstrated that the novel risk stratification model could not accurately predict future VF events in patients with BrS, but without prior VF.
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BACKGROUND: Although current guidelines recommend implantable cardioverter-defibrillator (ICD) placement in survivors of out-of-hospital cardiac arrest, contemporary data on secondary-prevention ICDs in survivors of out-of-hospital cardiac arrest remain limited. METHODS AND RESULTS: Using 2013 to 2019 CARES (Cardiac Arrest Registry to Enhance Survival) linked to Medicare, we identified 3226 patients aged ≥65 years with an initial shockable rhythm who survived to discharge without severe neurological disability. Multivariable hierarchical regression models were used to examine the association between patient variables and ICD placement and quantify hospital variation in ICD implantation. The mean age was 72.2 years, 23.5% were women, 10% were Black individuals, and 4% were Hispanic individuals. Overall, 997 (30.9%) patients received an ICD before discharge, 1266 (39.2%) at 90 days, and 1287 (39.9%) within 6 months. Older age (≥85 years), female sex, history of diabetes, calendar year, and presentation with acute myocardial infarction were associated with lower odds of ICD implantation, but race or ethnicity was not associated with ICD implantation. Among 297 hospitals, the median proportion of survivors receiving ICD at discharge was 28.6% (interquartile range, 20%-50%). The relative odds of ICD implantation varied by 62% across hospitals (median odds ratio, 1.62 [95% CI, 1.38-1.82]) after adjusting for case mix. CONCLUSIONS: Fewer than 1 in 3 survivors of out-of-hospital cardiac arrest due to a shockable rhythm received a secondary-prevention ICD before discharge. Although patient variables were associated with ICD implantation, there was no difference by race or ethnicity. Even after adjusting for patient case mix, ICD implantation varied markedly across hospitals.
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AIM: The association between out-of-hospital cardiac arrest (OHCA) and the appropriate provision of public access defibrillation (PAD) remains unclear. This study aimed to evaluate the factors associated with whether or not PAD was provided. METHODS: This retrospective cohort study utilized the All-Japan Utstein and Emergency Transport Registries in 2021. We included OHCA patients who were applied to automated external defibrillators (AEDs) by bystanders and were deemed eligible for defibrillation by an AED. We defined PAD provided or no PAD provided based on bystander defibrillation. Multivariable logistic regression analysis with the Firth bias adjustment method was employed to estimate the adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for the exploratory evaluation of factors associated with PAD provided. RESULTS: 1949 patients were eligible for analysis (PAD provided, n = 1696 [87.0%]; no PAD provided, n = 253 [13.0%]). Factors positively associated with PAD provided were male (AOR [95% CI], 1.61 [1.17-2.21]; vs. female), other public place incidence (AOR [95% CI], 10.65 [1.40-1367.54]; vs. public place), non-family member witnessed (AOR [95% CI], 2.51 [1.86-3.42]; vs. unwitnessed) and conventional cardiopulmonary resuscitation (CPR), (AOR [95% CI], 1.75 [1.17-2.67]; vs. hands-only CPR). Conversely, factors negatively associated with no PAD provided were over 65 years old (AOR [95% CI], 0.48 [0.28-0.80]; vs. 19-64 yr), night-time onset (AOR [95% CI], 0.61 [0.45-0.83]; vs. daytime), non-cardiogenic (AOR [95% CI], 0.43 [0.31-0.61]; vs. cardiogenic), home setting (AOR [95% CI], 0.33 [0.14-0.83]; vs. public place), healthcare facility setting (AOR [95% CI], 0.40 [0.23-0.66]; vs. public place), no bystander CPR (AOR [95% CI], 0.31 [0.14-0.71]; vs. hands-only CPR), and dispatcher-assistance (AOR [95% CI], 0.72 [0.53-0.97]; vs. no dispatcher-assistance). CONCLUSION: Male patients, other public place onset, witnessed by non-family and conventional CPR were associated with PAD provide. Therefore, training skilled first responders to use AEDs appropriately is necessary.
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For more than two decades the left ventricular ejection fraction (LVEF) has been utilized with practically uncritical absolutism for the risk stratification of patients with ischemic and, historically, also nonischemic cardiomyopathy, in order to identify patients who could be threatened by sudden cardiac death. Based on historical data and in the absence of other better predictive parameters, the LVEF continues to appear in the guidelines unchanged, with cut-off values that lie in the region of the measurement accuracy of LVEF as determined by echocardiography. The basic identification of high-risk patients who then really benefit from an implantable cardioverter defibrillator (ICD) must be re-evaluated under the aspect of a meaningfully altered interventional and pharmaceutical treatment of heart failure.
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Volunteer responder systems (VRS) alert and guide nearby lay rescuers towards the location of an emergency. An application of such a system is to out-of-hospital cardiac arrests, where early cardiopulmonary resuscitation (CPR) and defibrillation with an automated external defibrillator (AED) are crucial for improving survival rates. However, many AEDs remain underutilized due to poor location choices, while other areas lack adequate AED coverage. In this paper, we present a comprehensive data-driven algorithmic approach to optimize deployment of (additional) public-access AEDs to be used in a VRS. Alongside a binary integer programming (BIP) formulation, we consider two heuristic methods, namely Greedy and Greedy Randomized Adaptive Search Procedure (GRASP), to solve the gradual Maximal Covering Location (MCLP) problem with partial coverage for AED deployment. We develop realistic gradually decreasing coverage functions for volunteers going on foot, by bike, or by car. A spatial probability distribution of cardiac arrest is estimated using kernel density estimation to be used as input for the models and to evaluate the solutions. We apply our approach to 29 real-world instances (municipalities) in the Netherlands. We show that GRASP can obtain near-optimal solutions for large problem instances in significantly less time than the exact method. The results indicate that relocating existing AEDs improves the weighted average coverage from 36% to 49% across all municipalities, with relative improvements ranging from 1% to 175%. For most municipalities, strategically placing 5 to 10 additional AEDs can already provide substantial improvements.
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Introduction: Defibrillation is a critical intervention in managing cardiac emergencies, yet healthcare workers (HCWs) preparation for utilizing defibrillators remains inadequate, particularly in low and middle-income countries. This quality improvement project aimed to assess and enhance HCWs' knowledge, skills, and attitudes toward defibrillator use in the emergency department (ED) through a 1-h defibrillator workshop. Methodology: An observational clinical audit was conducted within the ED of a tertiary care hospital. Pre- and post-workshop data were collected from the participants using structured questionnaires for demographics, knowledge assessment (20 multiple-choice questions), skills assessment (10-step checklist), and attitude evaluation (Likert-scale statements). The workshop included theoretical instruction and hands-on practice, with a post-workshop assessment conducted one week later. Data analysis employed descriptive statistics and paired t-tests, while ethical considerations ensured confidentiality and consent. Results: The study included 38 participants, demonstrating significant gaps in defibrillator knowledge, skills, and attitudes pre-workshop. Post-workshop assessments revealed a marked improvement in knowledge scores (P<0.05), attitudes (P<0.05), and practical skills (P<0.05). Participants' confidence and preparation for managing cardiac emergencies notably increased, indicating the workshop's efficacy in addressing the identified deficiencies. Conclusion: The 1-h defibrillator workshop effectively enhanced HCWs' competence and readiness to utilize ED defibrillators. The observed improvements underscore the importance of targeted educational interventions in bridging knowledge gaps and fostering proactive attitudes toward emergency management. Regular training sessions should be conducted to sustain these enhancements and improve patient outcomes in the ED.
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Sudden cardiac death (SCD) remains a pressing health issue, affecting hundreds of thousands each year globally. The heterogeneity among SCD victims, ranging from individuals with severe heart failure to seemingly healthy individuals, poses a significant challenge for effective risk assessment. Conventional risk stratification, which primarily relies on left ventricular ejection fraction, has resulted in only modest efficacy of implantable cardioverter-defibrillators (ICD) for SCD prevention. In response, artificial intelligence (AI) holds promise for personalised SCD risk prediction and tailoring preventive strategies to the unique profiles of individual patients. Machine and deep learning algorithms have the capability to learn intricate non-linear patterns between complex data and defined endpoints, and leverage these to identify subtle indicators and predictors of SCD that may not be apparent through traditional statistical analysis. However, despite the potential of AI to improve SCD risk stratification, there are important limitations that need to be addressed. We aim to provide an overview of the current state-of-the-art of AI prediction models for SCD, highlight the opportunities for these models in clinical practice, and identify the key challenges hindering widespread adoption.
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We present a case of successful implantation of a cardioverter-defibrillator (ICD) using combined technique in a child with Timothy's syndrome. Due to high risk of sudden cardiac death (SCD) such patients often need ICD for primary or secondary prevention but implantation technique in young children remains controversial. The subcutaneous cardioverter-defibrillators could be an option in some cases, however, reliable cardiac pacing should be implemented for patients with bradyarrhythmias. An ICD implantation technique with the epicardial pacing lead placement and subcutaneous tunnel formation for endocardial defibrillation lead seems to be promising in SCD prevention also providing the opportunity for permanent pacing.