Prognostic Significance of Cardiac Magnetic Resonance Imaging Late Gadolinium Enhancement in Fabry Disease
Notice bibliographique
Résumé
Cardiac involvement is the leading cause of mortality in Fabry disease (FD).Late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging predicts adverse cardiac events in other cardiomyopathies.However, it is unclear whether LGE is a significant predictor of adverse cardiac events in FD.The purpose of this study was to evaluate the prognostic significance of the presence and extent of LGE in FD.This retrospective cohort study was approved by the institutional research ethics board.The requirement for written informed consent was waived.All patients with gene-positive FD who had undergone cardiac magnetic resonance imaging with LGE between March 2008 and March 2018 and had clinical follow-up at our institution were included.Magnetic resonance imaging studies were performed with 1.5-or 3-T scanners (MAGNETOM Avanto or Skyra; Siemens Healthcare, Erlangen, Germany).Multiplane LGE images were acquired 12 to 15 minutes after intravenous contrast administration and were visually evaluated for the presence of LGE.Left ventricular endocardial and epicardial borders were contoured on short-axis LGE images to assess the extent of LGE using a signal intensity threshold of 4 SDs, expressed as a percentage of myocardial mass (Circle cmr42; Circle Cardiovascular Imaging, Calgary, Canada).The primary end point was defined as the composite of ventricular tachycardia (VT), bradycardia, heart failure, and cardiac death.Nonsustained VT and sustained VT were defined as ≥3 consecutive beats arising below the atrioventricular node with an inter-beat (RR) interval of >100 bpm lasting <30 and ≥30 seconds, respectively.Bradycardia was defined as a heart rate <60 bpm requiring device implantation for pacing.Heart failure was defined as the development of New York Heart Association functional class III/IV symptoms.Cardiac death was classified as sudden or heart failure-related death.Individual adverse cardiac events were evaluated as secondary end points.Patients without events were censored at the time of their last clinical follow-up.Statistical analysis was performed with STATA version 14.1 (StataCorp, College Station, TX).A 2-tailed value of P<0.05 was considered statistically significant.Time-to-event survival analysis using univariable Cox proportional hazard models were used to estimate the hazard ratio (HR) for the presence and extent of LGE.Eighty-two patients were included in the study with 3.8±2.8years of followup (mean age, 44.7±14.8years; 32.9% male).LGE was present in 34 patients (41.5%) with a mean LGE extent of 4.4±7.8%.Overall, 16 patients (19.5%) reached the primary end point with an incidence rate of 6.1%/y: 13 of 34 patients (38.2%) with LGE compared with 3 of 48 patients (6.3%) without LGE (HR, 7.35; 95% CI, 2.09-25.89;P=0.002; Table).The risk of the primary end point increased with the extent of LGE (HR, 1.26/5% increase in LGE; 95% CI, 1.06-1.50;P=0.008).
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 | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».