195 research outputs found

    Body mass index and pulmonary vein isolation:real-world data on outcomes and quality of life

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    Aims: Increasing numbers of overweight and obese patients undergo pulmonary vein isolation (PVI), despite the association between higher body mass index (BMI) and adverse PVI outcomes. Evidence on complications and quality of life in different bodyweight groups is limited. This study aims to clarify the impact of BMI on repeat ablations, periprocedural complications, and changes in quality of life.Methods and results: This multi-centre study analysed prospectively collected data from 15 ablation centres, covering all first-time PVI patients in the Netherlands from 2015 to 2021. Patients were categorized by BMI: normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), and obesity (≥30 kg/m2). Quality of life was assessed using the Atrial Fibrillation Effect on QualiTy-of-life questionnaire at baseline and 1-year post-PVI. Among 20 725 patients, 30% were of normal weight, 47% overweight, and 23% obese. Within the first year after PVI, obese patients had a higher incidence of repeat ablations than normal-weighing and overweight patients (17.8 vs. 15.6 and 16.1%, P &lt; 0.05). Obesity was independently associated with repeat ablations (odds ratio 1.15; 95% confidence interval 1.01-1.31, P = 0.03). This association remained apparent after 3 years. Complication rates were 3.8% in normal weight, 3.0% in overweight, and 4.6% in obese, with weight class not being an independent predictor. Quality of life improved in all weight groups post-PVI but remained lowest in obese patients.Conclusion: Obesity is independently associated with a higher rate of repeat ablations. Pulmonary vein isolation is equally safe in all weight classes. Despite lower quality of life among obese individuals, substantial improvements occur for all weight groups after PVI.</p

    Platelets and Cardiac Arrhythmia

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    Sudden cardiac death (SCD) remains one of the most prevalent modes of death in industrialized countries, and myocardial ischemia due to thrombotic coronary occlusion is its primary cause. The role of platelets in the occurrence of SCD extends beyond coronary flow impairment by clot formation. Here we review the substances released by platelets during clot formation and their arrhythmic properties. Platelet products are released from three types of platelet granules: dense core granules, alpha-granules, and platelet lysosomes. The physiologic properties of dense granule products are of special interest as a potential source of arrhythmic substances. They are released readily upon activation and contain high concentrations of serotonin, histamine, purines, pyrimidines, and ions such as calcium and magnesium. Potential arrhythmic mechanisms of these substances, e.g., serotonin and high energy phosphates, include induction of coronary constriction, calcium overloading, and induction of delayed after-depolarizations. Alpha-granules produce thromboxanes and other arachidonic-acid products with many potential arrhythmic effects mediated by interference with cardiac sodium, calcium, and potassium channels. Alpha-granules also contain hundreds of proteins that could potentially serve as ligands to receptors on cardiomyocytes. Lysosomal products probably do not have an important arrhythmic effect. Platelet products and ischemia can induce coronary permeability, thereby enhancing interaction with surrounding cardiomyocytes. Antiplatelet therapy is known to improve survival after myocardial infarction. Although an important part of this effect results from prevention of coronary clot formation, there is evidence to suggest that antiplatelet therapy also induces anti-arrhythmic effects during ischemia by preventing the release of platelet activation products

    Increasing accuracy of pulse arrival time estimation in low frequency recordings

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    Objective. Wearable devices that measure vital signals using photoplethysmography are becoming more commonplace. To reduce battery consumption, computational complexity, memory footprint or transmission bandwidth, companies of commercial wearable technologies are often looking to minimize the sampling frequency of the measured vital signals. One such vital signal of interest is the pulse arrival time (PAT), which is an indicator of blood pressure. To leverage this non-invasive and non-intrusive measurement data for use in clinical decision making, the accuracy of obtained PAT-parameters needs to increase in lower sampling frequency recordings. The aim of this paper is to develop a new strategy to estimate PAT at sampling frequencies up to 25 Hertz. Approach. The method applies template matching to leverage the random nature of sampling time and expected change in the PAT. Main results. The algorithm was tested on a publicly available dataset from 22 healthy volunteers, under sitting, walking and running conditions. The method significantly reduces both the mean and the standard deviation of the error when going to lower sampling frequencies by an average of 16.6% and 20.2%, respectively. Looking only at the sitting position, this reduction is even larger, increasing to an average of 22.2% and 48.8%, respectively. Significance. This new method shows promise in allowing more accurate estimation of PAT even in lower frequency recordings.</p

    Improving the efficiency of the cardiac catheterization laboratories through understanding the stochastic behavior of the scheduled procedures

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      Background: In this study, we sought to analyze the stochastic behavior of Catherization Labora­tories (Cath Labs) procedures in our institution. Statistical models may help to improve estimated case durations to support management in the cost-effective use of expensive surgical resources. Methods: We retrospectively analyzed all the procedures performed in the Cath Labs in 2012. The duration of procedures is strictly positive (larger than zero) and has mostly a large mini­mum duration. Because of the strictly positive character of the Cath Lab procedures, a fit of a lognormal model may be desirable. Having a minimum duration requires an estimate of the threshold (shift) parameter of the lognormal model. Therefore, the 3-parameter lognormal model is interesting. To avoid heterogeneous groups of observations, we tested every group-car­diologist-procedure combination for the normal, 2- and 3-parameter lognormal distribution. Results: The total number of elective and emergency procedures performed was 6,393 (8,186 h). The final analysis included 6,135 procedures (7,779 h). Electrophysiology (intervention) pro­cedures fit the 3-parameter lognormal model 86.1% (80.1%). Using Friedman test statistics, we conclude that the 3-parameter lognormal model is superior to the 2-parameter lognormal model. Furthermore, the 2-parameter lognormal is superior to the normal model. Conclusions: Cath Lab procedures are well-modelled by lognormal models. This information helps to improve and to refine Cath Lab schedules and hence their efficient use.

    Re-ordered fuzzy conformance checking for uncertain clinical records

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    Modern hospitals implement clinical pathways to standardize patients’ treatments. Conformance checking techniques provide an automated tool to assess whether the actual executions of clinical processes comply with the corresponding clinical pathways. However, clinical processes are typically characterized by a high degree of uncertainty, both in their execution and recording. This paper focuses on uncertainty related to logging clinical processes. The logging of the activities executed during a clinical process in the hospital information system is often performed manually by the involved actors (e.g., the nurses). However, such logging can occur at a different time than the actual execution time, which hampers the reliability of the diagnostics provided by conformance checking techniques. To address this issue, we propose a novel conformance checking algorithm that leverages principles of fuzzy set theory to incorporate experts’ knowledge when generating conformance diagnostics. We exploit this knowledge to define a fuzzy tolerance in a time window, which is then used to assess the magnitude of timestamp violations of the recorded activities when evaluating the overall process execution compliance. Experiments conducted on a real-life case study in a Dutch hospital show that the proposed method obtains more accurate diagnostics than the state-of-the-art approaches. We also consider how our diagnostics can be used to stimulate discussion with domain experts on possible strategies to mitigate logging uncertainty in the clinical practice.</p

    Arrhythmia mechanism dependent pulmonary vein ablation in paroxysmal atrial fibrillation

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    Atrial fibrillation (AF) often requires invasive treatment by ablation to decrease symptom burden. The pulmonary veins (PV) are thought to trigger paroxysms of AF, and ablative PV isolation (PVI) is a cornerstone in AF treatment. However, incomplete PVI, where electrical conduction between the PV and left atrium (LA) is maintained, is curative of AF in a subset of patients. This implies that an antiarrhythmic effect other than electrical isolation between the PV and LA plays a role in AF prevention in these patients. We reason that the PV myocardium constitutes an arrhythmogenic substrate conducive to reentry in the patients with curative incomplete PVI. This PV substrate is amenable to ablation, even when conduction between the LA and PV persists. We propose that PV ablation strategies are differentiated to fit the arrhythmogenic mechanisms in the individual patient. PV substrate modification in patients with PV reentry may constitute a new therapeutic approach that is potentially simpler and more effective, in this subgroup of patients

    Careful Curation of Care Content:A Case Study of a Technology-Supported Atrial Fibrillation Outpatient Clinic

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    Medical care received outside the doctor’s office and the hospital is gaining traction. Lifestyle programs for transmural and remote care are increasingly facilitated by hospitals as part of rehabilitation, by general practitioners as preventative measures, and by various private (health) organizations through consumer apps. What is often overlooked is the time and energy spent on creating the content (i.e., health information and education) in these programs so that it is effective, appealing, relatable, and personalized. In this article, we discuss the elaborate content creation process of lifestyle content for an outpatient clinic for atrial fibrillation patients. We describe the close collaboration between clinicians, design researchers, data designers, and a copywriter, and reflect on how to streamline and formalize the clinical content creation process. Additionally, we highlight opportunities for further content personalization by making it dynamic, more versatile in terms of delivery and expanding the system further into the home context
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