PRPaul Richard Roberts

Paul Richard Roberts

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Paul Richard Roberts has a total of 134 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Pacing Performance of a Modular Communicative Leadless Pacing-Defibrillator System

    by Lluís Mont, Michael S Lloyd, Paul R Roberts, Rahul Doshi, David J Wright, Paul A Friedman, Petr Neuzil, Carina Blomstrom-Lundqvist, Maria Grazia Bongiorni, Martin Burke, et al.

    Background and Aims: MODULAR ATP is an ongoing trial assessing the efficacy of a subcutaneous implantable cardioverter defibrillator (S-ICD) in communication with a leadless pacemaker (LP) that can deliver bradycardia pacing and antitachycardia pacing. The objective of this study was to assess safety and pacing performance of the investigational LP. Methods: The study enrolled patients with an ICD indication and at high risk for monomorphic ventricular tachycardia. Pacemaker dependent patients were excluded. Primary safety endpoint 2 was the percentage of patients free from major LP-related complications at 12 months. The secondary effectiveness endpoint assessed the rate response performance of the LP under workload. Parameters related to the pacing performance were also measured. Results: In 297 patients, the mean age was 59±12 years, the mean left ventricular ejection fraction was 35.3±13.1%, and 17.5% were female. LP implant was attempted in 286 patients and was successful in 100%. The major LP-related complication free rate at 12 months was 97.2% (one-sided 97.5% LCL 94.5%), surpassing the performance goal of 81%. There were no LP-related complications following Implant. For the secondary effectiveness endpoint, the slope of the normalized sensor rate versus the normalized workload was 0.96 (95% LCL 0.91, 95% UCL 1.02), within the performance goal range of 0.65-1.35. At 12 months, 96.8% of patients had a pacing capture threshold ≤ 2V @ 0.4ms pulse width. Conclusions: The performance of the modular pacing-defibrillator system at one year demonstrated a low complication rate and reliable pacing functionality.

  • Open Access

    Temporal Variability of the P:R Ratio: A Machine Learning Analysis and Its Implications for EV-ICD Oversensing Risk (Preprint)

    by Lin-Thiri Toon, Samuel J Ward, Mohammed ElRafai, Benedict Wiles, Anthony Dunn, Alain Zemkoho, Paul R Roberts, John R Paisey

    BACKGROUND The Extravascular Implantable Cardioverter-Defibrillator (EV-ICD) was developed to address the limitations associated with the Subcutaneous ICD (S-ICD), while avoiding the long-term lead-related complications inherent to transvenous ICD systems. However, inappropriate shocks remain a clinically significant limitation, predominantly attributable to p-wave oversensing, as reported in the EV-ICD Pivotal study. Current EV-ICD implantation relies on static intraoperative electrogram amplitude criteria without formal pre-implant dynamic screening. The temporal behaviour of the P:R ratio during prolonged monitoring has not been systematically characterised. OBJECTIVE The aim of this research is to quantify 24-hour P:R ratio variability across distinct patient subgroups using a validated deep learning-based analytical framework capable of continuous ratio assessment. METHODS Raw 24-hour Holter ECG data (500 Hz sampling frequency) were exported in text format and underwent structured preprocessing, including baseline drift correction via discrete wavelet transformation, targeted filtering for electrical and low-frequency noise, and ARS polarity normalisation. Recordings were segmented into 10-second intervals. Each segment was transformed into a 32x32 Phase Space Reconstruction (PSR) matrix using a 12-ms time delay and analysed using a neural network model designed to predict P:R ratios. Model performance was evaluated using 10-fold cross-validation. Subgroup analyses included heart failure, cardiomyopathy, congenital heart disease, and structurally normal cohorts. RESULTS The neural network converged stably, with no evidence of overfitting, achieving training and validation RMSE values 1:4 during 24-hour monitoring, and nearly 60% exceeded >1:3 in at least one sensing vector. Despite frequent transient elevations, 93% of individuals had at least one vector in which the P:R ratio remained consistently 1:4 threshold, median proportions ranged from 0-5.5% across the three vectors, compared with 0-5% at >1:3. Several subgroups had a median of 0%, with no significant differences between groups (all P>0.05). Wide IQRs indicated substantial inter-individual variability, with a minority showing prolonged periods of elevated P:R ratios. CONCLUSIONS Dynamic fluctuations in P:R ratio are common across both structural heart disease and normal populations; however, sustained elevation is uncommon, and at least one stable sensing vector is present in the vast majority of individuals. These findings highlight the limitations of static intraoperative amplitude assessment and support the potential role of AI-driven prolonged monitoring in refining EV-ICD candidate evaluation and programming strategies. Correlation between surface Holter-derived metrics and substernal EV-ICD sensing vectors requires prospective validation.

  • Top Cited Papers
    Open Access

    One-Year Outcomes of the MODULAR ATP Trial: A Novel Leadless Pacemaker in Wireless Communication With a Subcutaneous Implantable Cardioverter Defibrillator

    by Michael S. Lloyd, Vivek Y. Reddy, Paul Roberts, Rahul N. Doshi, David L. Wright, Lucas V.A. Boersma, Paul A. Friedman, Petr Neuzil, Carina Blomström-Lundqvist, Maria Grazia Bongiorni, et al.

    BACKGROUND: MODULAR antitachycardia pacing (ATP), a multicenter, international trial, assesses a modular cardiac rhythm management system: a subcutaneous implantable cardioverter defibrillator in wireless communication with a leadless pacemaker (LP) capable of pace-terminating ventricular tachycardia. METHODS: Enrolees had one or more clinical risk factors for ventricular tachycardia and did not require chronic pacing. Complications included prespecified major LP system- and procedure-related complications, and any complication related to the LP, subcutaneous implantable cardioverter defibrillator, implantation, or study protocol. Survival analysis was performed to identify complication-free rates, therapy delivery, and all-cause mortality. RESULTS: The 297 patients enrolled had an ejection fraction of 35±13%, 43% secondary prevention indications, and 59% with prior ventricular arrhythmias. Of 286 patients undergoing LP implantation (100% success), 251 patients completed 12-month follow-up. Mortality rate was 6%, with none related to the implant procedure. Median follow-up duration was 23.4 months (interquartile range, 17.9–28.1). The LP major complication-free rate was 97.2%, exceeding the performance goal. The overall LP+ subcutaneous implantable cardioverter defibrillator system-related complication-free rate was 88.5%. Appropriate tachyarrhythmia-therapy (ATP+shock) rates were 14.4%, and appropriate shock rates were 8.5%. Inappropriate total tachyarrhythmia therapy was 9.5% of which 8.5% were shocks. ATP was 67.3% successful in terminating ventricular arrhythmia episodes and accelerated ventricular arrhythmias in 10.1% of episodes. Overall therapy burden (ATP+shock) was 96/100 patient-years, of which 44/100 patient-years was for shock delivery. CONCLUSIONS: One-year outcomes of the first modular pacing-defibrillator system reveal low system and LP complication rates and good ATP efficacy rates, suggesting that the modular cardiac rhythm management is a viable alternative to single-chamber implantable cardioverter defibrillators using low-energy pacing capability without the need for transvenous leads. CLINICAL TRIAL REGISTRATION: URL: https://clinicaltrials.gov/ ; Unique identifier: NCT04798768.


  • Open Access

    Leadless pacing in young patients

    by Paul Richard Roberts, Saverio Iacopino

    Leadless pacing has been established as an effective and safe therapy. The majority of published data relates to an older population. However, this therapy may be particularly attractive for a younger (<40 years) population where the complications of transvenous devices can be enhanced. These include having leads in the vasculature for a longer period of time and the need for more generator changes over a longer time frame that may increase the rate of complications, e.g. infection. There is increasing evidence that leadless pacing is safe and effective in a younger population that may include specific patient groups such as those that require infrequent pacing, e.g. cardioinhibitory vasovagal syncope. Additionally, leadless pacing may be particularly suited to patients with adult congenital heart disease where conventional access with transvenous devices may be challenging. There are also some other groups such as neuromuscular disorders associated with conduction system disease that may benefit. The paediatric population is a further group that offers many challenges for pacing and so may be considered for leadless pacing. There is an increasing evidence base for the use of a superior jugular approach in this population rather than the conventional femoral approach. Further evidence to support leadless pacing would be enhanced with prospective randomized controlled studies in the population under the age of 40 years.


  • Open Access

    Occurrence of premature battery depletion in a large multicentre registry of subcutaneous cardioverter-defibrillator patients

    by Jonas Wörmann, Marc Strik, Stjepan Jurisic, Kara Stout, Mohamed Elrefai, Nina Becher, Beat Schaer, Antonius van Stipdonk, Neil T Srinivasan, Sylvain Ploux, et al.

    Aims: Subcutaneous implantable cardioverter-defibrillators (S-ICDs) have become established in preventing sudden cardiac death, with some advantages over transvenous defibrillator systems, including a lower incidence of lead failures. Despite technological advancements, S-ICD carriers may suffer from significant complications, such as premature battery depletion (PBD), that led to an advisory for nearly 40 000 patients. This multicentre study evaluated the incidence of PBD in a large set of S-ICD patients. Methods and results: Data from patients implanted with S-ICD models A209 and A219 between October 2012 and July 2023 across nine centres in Europe and the USA were reviewed. Incidence and implications of PBD, defined as clinically observed sudden drop in battery longevity, were analysed and compared to PBD with the definition of battery depletion within 60 months. Prospectively collected clinical data were obtained retrospectively from medical records, device telemetry, and manufacturer reports. This registry is listed on ClinicalTrials.gov (NCT05713708). Of the 1112 S-ICD devices analysed, 547 (49.2%) were equipped with a potentially affected capacitor linked to PBD occurrence, currently under Food and Drug Administration advisory. The median follow-up time for all patients was 46 [inter-quartile range (IQR) 24–63] months. Clinically suspected PBD was observed in 159 (29.1%) of cases, with a median time to generator removal or replacement of 65 (IQR 55–72) months, indicative of significant deviations from expected battery lifespan. Manufacturer confirmation of PBD was made in 91.7% of devices returned for analysis. No cases of PBD were observed in devices that were not under advisory. Conclusion: This manufacturer-independent analysis highlights a notable incidence of PBD in patients equipped with S-ICD models under advisory, and the rate of PBD in this study corresponds to the rate currently estimated by the manufacturer. To the best of our knowledge, this provides the largest contemporary peer-reviewed study cohort investigating the actual incidence of PBD in S-ICD patients. These findings emphasize the importance of post-market registries in collaboration between clinicians and the manufacturer to optimize safety and efficacy in S-ICD treatment.


  • Open Access

    Using artificial intelligence and deep learning to optimise the selection of adult congenital heart disease patients in S-ICD screening

    by Mohamed ElRefai, Mohamed Abouelasaad, Isobel Conibear, Benedict M. Wiles, Anthony J. Dunn, Stefano Coniglio, Alain B. Zemkoho, John Morgan, Paul R. Roberts


  • Open Access

    Incidence, implications, and management of sense-B-noise failure in subcutaneous cardioverter-defibrillator patients: insights from a large multicentre registry

    by Jonas Wörmann, Marc Strik, Stjepan Jurisic, Kara Stout, Mohamed Elrefai, Nina Becher, Beat Schaer, Antonius van Stipdonk, Neil T Srinivasan, Sylvain Ploux, et al.

    Aims: Subcutaneous implantable cardioverter-defibrillators (S-ICDs) offer potentially distinct advantages over transvenous defibrillator systems. Recent randomized trials showed significantly lower lead failure rates than transvenous ICD. Still, S-ICDs remain associated with the risk of inappropriate shocks (IAS). While previous studies have reported varying causes of IAS, this study explores a rare cause of IAS, referred to as ‘sense-B-noise.’ It was recently described in case series, but its incidence has not been studied in a large cohort of S-ICD patients. Methods and results: We retrospectively reviewed data from patients implanted with S-ICD models 1010, A209, and A219 between October 2009 and July 2023 across nine centres in Europe and the USA. The analysis concentrated on determining the incidence and understanding the implications of sense-B-noise events. Sense-B-noise represents a rare manifestation of distinct electrogram abnormalities within the primary and alternate sensing vectors. Data were collected from medical records, device telemetry, and manufacturer reports for investigation. This registry is registered on clinicaltrials.gov (NCT05713708). Subcutaneous implantable cardioverter-defibrillator devices of the 1158 patients were analysed. The median follow-up time for all patients was 46 (IQR 23–64) months. In 107 patients (9.2%) ≥1 IAS was observed during follow-up. Sense-B-noise failure was diagnosed in six (0.5 and 5.6% of all IAS) patients, in all patients, the diagnosis was made after an IAS episode. Median lead dwell time in the affected patients was 23 (2–70) months. To resolve the sense-B-noise defect, in three patients reprogramming to the secondary vector was undertaken, and two patients underwent system removal with subsequent S-ICD reimplantation due to low amplitude in the secondary vector. In one patient, the secondary vector was initially programmed, and subsequently, an S-ICD system exchange was performed due to T-wave-oversensing IAS episodes. Conclusion: This multicentre analysis’ findings shed light on a rare but clinically highly significant adverse event in S-ICD therapy. To our knowledge, we provide the first systematic multicentre analysis investigating the incidence of sense-B-noise. Due to being difficult to diagnose and limited options for resolution, management of sense-B-noise is challenging. Complete system exchange may be the only option for some patients. Educating healthcare providers involved in S-ICD patient care is crucial for ensuring accurate diagnosis and effective management of sense-B-noise issues.


  • Open Access

    Determinants of left atrial local impedance: Relationships with contact force, atrial fibrosis, and rhythm

    by Alexander P. Bates, John Paisey, Arthur Yue, Phil Banks, Paul R. Roberts, Waqas Ullah

    Introduction: The relationships between baseline tissue local impedance (LI), contact force (CF), atrial fibrosis, and atrial rhythm are uninvestigated in a clinical setting. We compared the relationship of LI and CF between atrial fibrillation (AF) and sinus rhythm (SR) accounting for the effects of atrial fibrosis as assessed by bipolar voltage and LI.Methods: Patients undergoing persistent AF ablation were recruited. LI was recorded referenced to patient blood pool (LIr) and concurrent to changes in CF, with data collected at the same locations in AF and SR.Results: Twenty patients were recruited. 109 locations were sampled obtaining 1903 data points (SR: 966, AF: 937). CF correlated strongly with LI (repeated measures correlation = 0.64). The relationship between CF and LIr was logarithmic. Rhythm and CF had a significant main (both p < .0005) and interaction effect (p = .022) on tissue LI: AF demonstrated higher LIr values than SR for similar CF. Bipolar voltage had no effect on the relationship of CF to LIr in either rhythm. Assessing fibrosis using LIr showed an interaction effect with CF for LIr in SR and AF, (SR: p < .0005, AF: p = .01), with increased fibrosis showing lesser change in LIr per gram of CF.Conclusions: CF and rhythm significantly affect the measured LIr of LA myocardium. Optimal catheter‐tissue coupling may be better achieved with higher levels of CF and in AF rather than SR. Atrial fibrosis, as assessed by LIr but not bipolar voltage, affected the CF–LI relationship.


  • Open Access

    Deep learning and hyperparameter optimization for assessing one’s eligibility for a subcutaneous implantable cardioverter-defibrillator

    by Anthony J. Dunn, Stefano Coniglio, Mohamed ElRefai, Paul R. Roberts, Benedict M. Wiles, Alain B. Zemkoho

    It is standard cardiology practice for patients suffering from ventricular arrhythmias (the main cause of sudden cardiac death) belonging to high risk populations to be treated via the implantation of Subcutaneous Implantable cardioverter-defibrillators (S-ICDs). S-ICDs carry a risk of so-called T wave over sensing (TWOS), which can lead to inappropriate shocks that carry an inherent health risk. For this reason, according to current practice patients’ Electrocardiograms (ECGs) are manually screened by a cardiologist over 10 s to assess the T:R ratio—the ratio between the amplitudes of the T and R waves which is used as a marker for the likelihood of TWOS—with a plastic template. Unfortunately, the temporal variability of a patient’ T:R ratio can render such a screening procedure, which relies on an inevitably short ECG segment due to its manual nature, unreliable. In this paper, we propose and investigate a tool based on deep learning for the automatic prediction of the T:R ratios from multiple 10-second segments of ECG recordings capable of carrying out a 24-hour automated screening. Thanks to the significantly increased screening window, such a screening would provide far more reliable T:R ratio predictions than the currently utilized 10-second, template-based, manual screening is capable of. Our tool is the first, to the best of our knowledge, to fully automate such an otherwise manual and potentially inaccurate procedure. From a methodological perspective, we evaluate different deep learning model architectures for our tool, assess a range of stochastic-gradient-descent-based optimization methods for training their underlying deep-learning model, perform hyperparameter tuning, and create ensembles of the best performing models in order to identify which combination leads to the best performance. We find that the resulting model, which has been integrated into a prototypical tool for use by clinicians, is able to predict T:R ratios with very high accuracy. Thanks to this, our automated T:R ratio detection tool will enable clinicians to provide a completely automated assessment of whether a patient is eligible for S-ICD implantation which is more reliable than current practice thanks to adopting a significantly longer ECG screening window which better and more accurately captures the behavior of the patient’s T:R ratio than the current manual practice.


  • Open Access

    Defibrillation Threshold Testing for Right-sided Device Implants: A Review to Inform Shared Decision-making, in Association with the British Heart Rhythm Society

    by Michael Timothy Brian Pope, John R Paisey, Paul R Roberts

    Prevention of sudden death using ICDs requires the reliable delivery of a high-energy shock to successfully terminate VF. Until more recently, the device implant procedure included conducting defibrillation threshold (DFT) testing involving VF induction and shock delivery to ensure efficacy. Large clinical trials, including SIMPLE and NORDIC ICD, have subsequently demonstrated that this is unnecessary, with a practice of omitting DFT testing having no impact on subsequent clinical outcomes. However, these studies specifically excluded patients requiring devices implanted on the right side, in whom the shock vector is significantly different and smaller studies suggest a higher DFT. In this review, the data regarding the use of DFT testing, focusing on right-sided implants, and the results of a survey of current UK practice are presented. In addition, a strategy of shared decision-making when it comes to deciding on the use of DFT testing during right-sided ICD implant procedures is proposed.