Archives of Cardiovascular Diseases最新文献

Background: Following implantation/replacement of an implantable cardioverter-defibrillator, patients are legally subjected to variable lengths of driving restrictions based on the indication (1 and 3 months after primary and secondary prevention, respectively; 1 week after device replacement).

Aim: To assess the incidence of ventricular arrhythmia during the theoretical driving restriction period in a large cohort of patients.

Methods: Patients who underwent implantable cardioverter-defibrillator implantation for primary or secondary prevention or device replacement between 2015 and 2021 were included retrospectively. The primary endpoint was the occurrence of ventricular arrhythmia during the theoretical driving restriction period, as defined by guidelines.

Results: A total of 914 patients were analysed, including 654 first implantations (438 and 216 for primary and secondary prevention, respectively) and 260 device replacements. The primary outcome occurred in 2/438 patients (0.004%) during the 1-month period following device implantation for primary prevention and in 25/216 patients (11.5%) during the 3-month period following device implantation for secondary prevention; it did not occur in the 1-week period following device replacement. The monthly calculated risk of harm remained below the accepted threshold of 0.005% for each group.

Conclusions: Primary prevention patients, such as those who have undergone device replacement, have a low risk of ventricular arrhythmia, which could lead to a reduction in their driving restriction period. Secondary prevention patients experienced a higher risk of recurrent ventricular arrhythmia, supporting the 3-month driving restriction period.

Background: Arrhythmic risk stratification is a major challenge in Brugada syndrome. Studies have evaluated risk stratification based on manually measured electrocardiogram (ECG) parameters at baseline and/or after drug challenge.

Aim: To assess the predictive value of multiple ECG parameters measured automatically from digitized paper ECGs.

Methods: During a prospective, multicentre cohort study that included patients with Brugada syndrome with type 1 ECG (spontaneously or drug-induced), paper ECGs were digitized and analysed. Major events were sudden cardiac death, aborted cardiac arrest and appropriate implantable cardioverter-defibrillator (ICD) therapy in the ventricular fibrillation (VF) zone. The predictive value of clinical and ECG parameters was assessed using univariable and multivariable Cox models.

Results: ECGs from 301 patients (74% male, mean age 43.1±13.3years, mean follow-up 7.1±5.6years) were analysed. Major events occurred in 6% of patients before diagnosis and 8% during follow-up. Two baseline ECG parameters were independently associated with major events: QRS prolongation in lead V1>113ms (hazard ratio [HR] 3.49, 95% confidence interval [CI] 1.72-7.09; P<0.001) and S duration on DI>33.5ms (HR 3.56, 95% CI 1.52-8.31; P<0.01). In drug-induced patients, changes in the Tpeak-Tend interval on V2 were associated with major events (HR 4.69, 95% CI 1.21-18.17; P=0.014).

Conclusion: Paper ECG datasets could be used for automatic quantitative ECG measurements. We confirmed the association of previously described parameters with events and identified useful new parameters. Multi-parametric ECG quantification may be used to assess risk in patients with Brugada syndrome.

Background: In patients with significant tricuspid regurgitation, cardiac magnetic resonance imaging (CMR) is the preferred method for the evaluation of right ventricular function and volumes. However validated thresholds are lacking.

Aim: The aim of this study was to evaluate CMR assessment of right ventricular volumes in patients with significant (moderate or severe) tricuspid regurgitation, and to define its association with outcomes.

Methods: The PRONOVAL study is a retrospective multicentre study using the clinical data warehouse of Greater Paris University Hospitals (AP-HP). Patients were screened for CMR in the PMSI (Programme de médicalisation des systèmes d'information). Hospitalization reports were analysed by natural language processing to include patients with tricuspid regurgitation. Exclusion criteria were left heart valvular disease, heart transplantation and cardiac amyloidosis. Primary outcome was a combined criterion of death or tricuspid surgery.

Results: Between September 2017 and September 2021, 151 patients with isolated tricuspid regurgitation were screened. Right ventricular function and volumes were available in 86 (57.0%) CMR reports (the complete CMR group). In the complete CMR group, tricuspid regurgitation was severe in 62 patients (72.1%). Median age was 67.0 years (interquartile range 58.0-75.8). Median right ventricular indexed end-diastolic volume was 98.0 mL/m² (interquartile range 66.8-118.5). At 2-year follow-up, six patients (9.2%) had undergone tricuspid valve surgery, and 12 patients (18.5%) had died. Right ventricular indexed end-diastolic volume was associated with death or surgery at 2years, with an area under the receiver operating characteristic curve of 0.76 (95% confidence interval 0.75-0.77) for a threshold of 119mL/m².

Conclusion: Right ventricular indexed end-diastolic volume >119mL/m² was found to be an independent indicator of death or surgery in patients with significant tricuspid regurgitation.

Background: Although transcatheter aortic valve replacement has emerged as an alternative to surgical aortic valve replacement, it requires extensive healthcare resources, and optimal length of hospital stay has become increasingly important. This study was conducted to assess the potential of novel machine learning models (artificial neural network and eXtreme Gradient Boost) in predicting optimal hospital discharge following transcatheter aortic valve replacement.

Aim: To determine whether artificial neural network and eXtreme Gradient Boost models can be used to accurately predict optimal discharge following transcatheter aortic valve replacement.

Methods: Data were collected from the 2016-2018 National Inpatient Sample database using International Classification of Diseases, Tenth Revision codes. Patients were divided into two cohorts based on length of hospital stay: optimal discharge (length of hospital stay 0-3 days); and late discharge (length of hospital stay 4-9 days). χ² and t tests were performed to compare patient characteristics with optimal discharge and prolonged discharge. Logistic regression, artificial neural network and eXtreme Gradient Boost models were used to predict optimal discharge. Model performance was determined using area under the curve and F1 score. An area under the curve≥0.80 and an F1 score≥0.70 were considered strong predictive accuracy.

Results: Twenty-five thousand and eight hundred and seventy-four patients who underwent transcatheter aortic valve replacement were analysed. Predictability of optimal discharge was similar amongst the models (area under the curve 0.80 in all models). In all models, patient disposition and elective procedure were the most important predictive factors. Coagulation disorder was the strongest co-morbidity predictor of whether a patient had an optimal discharge.

Conclusions: Artificial neural network and eXtreme Gradient Boost models had satisfactory performances, demonstrating similar accuracy to binary logistic regression in predicting optimal discharge following transcatheter aortic valve replacement. Further validation and refinement of these models may lead to broader clinical adoption.

Background: Coronary chronic total occlusions (CTO) are frequent, and coronary angioplasty has been increasingly used in recent years for lesion revascularisation. However, to date, no dedicated multicentric prospective study is available in France.

Aim: To describe the characteristics of CTO patients and to assess current treatment strategies in French catheterisation laboratory practice.

Methods: Patients presenting with CTOs were included from 16/09/2021 to 13/12/2021 over two consecutive prospective phases. In phase I (one month), data were collected to include all patients presenting CTO at diagnostic angiography. In phase II (two months), data were collected focusing on patients who underwent CTO-PCI.

Results: A total of 1303 patients (1460 CTOs) were included in 68 French centres. The mean age was 67.7±10.7 years and 84.3% of the patients were men. The prevalence of prior PCI (44.6%), and diabetes mellitus (35.6%) was high. In phase I, multivessel coronary artery disease was detected in two-thirds of cases, and most of them (88.5%) had a single CTO. The mean J-CTO score was 1.9±1.2, with a proportion of difficult and very difficult CTO (J CTO score ≥2) of 61.1%. The selected treatment was medical therapy in 57% of cases, coronary angioplasty in 30% and bypass surgery in 13%. In phase II, 528 patients were included with a mean J-CTO score of 1.8±1.2. Successful guidewire crossing through CTO lesion was obtained with an antegrade access in 89% of patients. Procedural success rate of CTO-PCI was 80%, with a rate of major in-hospital complications of 1% (death: 0.4%, MI: 0.2%, stroke: 0.2%, emergency CABG: 0.2%).

Conclusion: This prospective study provides a snapshot of CTOs prevalence and CTO treatment strategies in France in 2021.