Trends in incidence and mortality from non-rheumatic degenerative mitral valve disease across europe, over the past three decades
Notice bibliographique
Résumé
Abstract Background Valvular heart disease is common globally; mitral regurgitation is the most common valve pathology in the general population and subsequently the second most frequent indication for valve surgery in Europe. Whilst the European epidemiology of aortic stenosis is well elucidated in the literature, no Europe-wide study has been undertaken to identify trends in incidence and mortality secondary to non-rheumatic degenerative mitral valve disease. Purpose Our aim is to describe trends in degenerative mitral valve disease incidence and mortality throughout Europe from 1990 to 2019. Methods We performed a temporal analysis of data deposited in the Global Burden of Disease Study Database across the European Union. We extracted age-standardised incidence and age-standardised mortality rates for 20 member states from the database. We graphically inspected the data and performed Joinpoint regression analysis to detect and summarise periods of significant change. These periods were described using estimated annual percentage change (EAPC). Results Trends in age-standardised incidence and mortality rates were heterogenous amongst the 20 member states included. A gender disparity in mortality rates favouring males were present in Austria, Belgium, Greece, Hungary and the Netherlands throughout the time period studied. Except for Hungary, this disparity was not reflected in the incidence rates for the aforementioned countries. Incidence rates of degenerative mitral valve disease in 2019 were highest in Italy for both males and females with 90.6 and 140.1 cases per 100,000 respectively. Mortality rates in 2019 were highest in the Netherlands for both males in females with 1.7 and 2.0 cases per 100,000 respectively; this was preceded by a downwards trend in mortality with an EAPC of −7.3% and −8.5% respectively. Other notable inflection points in incidence trends were observed in Italy, with an EAPC of −4.9% females between 1994 to 2004 followed by an EAPC of 0.8% between 2009 to 2019. Conclusion No overall trends in non-rheumatic mitral valve disease were observed throughout Europe, but gender disparities and some notable deviations in incidence and mortality rates from the European median were identified. Overall, however, incidence rates remained static in most countries studied despite the ubiquity of colour flow doppler echocardiography. Further analysis of the burden of mitral valve disease can help elucidate this geographical variation. Funding Acknowledgement Type of funding sources: None.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».