Rationale and design of the French cohort of acute myocarditis diagnosed by cardiac magnetic resonance imaging (MyocarditIRM).

BACKGROUND: Acute myocarditis usually presents as chest pain with rising troponin and normal coronary arteries. Despite frequent favourable evolution at the acute phase, it is associated with heart failure and ventricular rhythm disorders, and is considered the leading cause of sudden cardiac death in young, apparently healthy, adults. There are no specific recommendations for acute myocarditis diagnosis and management, only expert consensus, given the lack of large databases. AIM: The main objective is to describe the contemporary presentation of acute myocarditis, its management and in-hospital outcomes. Secondary objectives are to investigate survival and event-free survival for up to 10years of follow-up, the determinants of prognosis, the modalities of treatment and follow-up and the gaps between expert consensus and real-life management. METHODS: MyocarditIRM is a prospective multicentre cohort that enrolled 803 consecutive patients with acute myocarditis in 49 participating centres in France between 01 May 2016 and 28 February 2019. The diagnosis of acute myocarditis was acknowledged by cardiac magnetic resonance, using the Lake Louise Criteria. Exclusion criteria were age<18years, lack of health coverage, contraindication to cardiac magnetic resonance and refusal to participate. Detailed information was collected prospectively, starting at admission. Cardiac magnetic resonance imaging (diagnosis and follow-up) is analysed centrally by the certified core laboratory IHU ICAN. Ten years of follow-up for each patient is ensured by linking with the French National Health Database, and includes information on death, hospital admissions, major clinical events and drug consumption. CONCLUSION: This prospective cohort with long-term follow-up represents the largest database on acute myocarditis worldwide, and will improve knowledge about its presentation, management and outcomes.

Long-Term Prognosis Value of Paravalvular Leak and Patient-Prosthesis Mismatch following Transcatheter Aortic Valve Implantation: Insight from the France-TAVI Registry.

BACKGROUND: Transcatheter aortic valve implantation (TAVI) is the preferred treatment for symptomatic severe aortic stenosis (AS) in a majority of patients across all surgical risks. PATIENTS AND METHODS: Paravalvular leak (PVL) and patient-prosthesis mismatch (PPM) are two frequent complications of TAVI. Therefore, based on the large France-TAVI registry, we planned to report the incidence of both complications following TAVI, evaluate their respective risk factors, and study their respective impacts on long-term clinical outcomes, including mortality. RESULTS: We identified 47,494 patients in the database who underwent a TAVI in France between 1 January 2010 and 31 December 2019. Within this population, 17,742 patients had information regarding PPM status (5138 with moderate-to-severe PPM, 29.0%) and 20,878 had information regarding PVL (4056 with PVL ≥ 2, 19.4%). After adjustment, the risk factors for PVL ≥ 2 were a lower body mass index (BMI), a high baseline mean aortic gradient, a higher body surface area, a lower ejection fraction, a smaller diameter of TAVI, and a self-expandable TAVI device, while for moderate-to-severe PPM we identified a younger age, a lower BMI, a larger body surface area, a low aortic annulus area, a low ejection fraction, and a smaller diameter TAVI device (OR 0.85; 95% CI, 0.83-0.86) as predictors. At 6.5 years, PVL ≥ 2 was an independent predictor of mortality and was associated with higher mortality risk. PPM was not associated with increased risk of mortality. CONCLUSIONS: Our analysis from the France-TAVI registry showed that both moderate-to-severe PPM and PVL ≥ 2 continue to be frequently observed after the TAVI procedure. Different risk factors, mostly related to the patient's anatomy and TAVI device selection, for both complications have been identified. Only PVL ≥ 2 was associated with higher mortality during follow-up.

Successful linkage of French large-scale national registry populations to national reimbursement data: Improved data completeness and minimized loss to follow-up.

BACKGROUND: Registries, a cornerstone of contemporary medicine, frequently suffer from incomplete documentation and losses to follow-up. By linking data to a single-payer national claims database, national registries may be enriched and the quality enhanced. AIMS: To explore the value of data from the French Système National des Données de Santé (SNDS) as a resource to enhance the quality of registries when combined with data from electronic case report forms, and to assess the power to minimize data gaps and losses to follow-up. METHODS: A probabilistic algorithm was developed to link and match records in the SNDS with patient data from the electronic case report forms of two registries on transcatheter aortic valve implantation: FRANCE-2 and FRANCE-TAVI. The algorithm created patient profiles from transcatheter aortic valve implantation procedures in the SNDS, matching them as closely as possible to the profiles in the registry databases. The objective was to achieve 90% linkage of the populations. The linked database was analysed for completeness and loss to follow-up. For validation, mortality curves for the linked registry cohorts were compared with those for the original populations. RESULTS: A total of 34,397 unique registries entries were identified, and 89.9% of patients in the SNDS could be linked. Rates of losses to follow-up over 2 years were 1.0% in the linked FRANCE-TAVI population compared with 40.3% based on electronic case report form documentation. For FRANCE-2, 3-year rates of losses to follow-up were 1.7% and 6.1%, respectively. Mortality curves for populations based on SNDS and electronic case report form data were practically superimposable. CONCLUSIONS: Linking data from a single-payer national claims database to national registries using a probabilistic approach is feasible and can close data gaps and practically abolish losses to follow-up in the registry population.