Clinical characteristics of patients with hereditary transthyretin mutations primarily associated with cardiomyopathy and other rare transthyretin mutations: insights from a genetic testing programme
Notice bibliographique
Résumé
Abstract Background/Introduction Hereditary transthyretin amyloidosis (hATTR; ATTRv) is a progressive, fatal disease caused by mutations in the transthyretin gene (TTR) that results in deposition of amyloid throughout the body, including in the heart. The p.V142I and p.T80A mutations typically manifest with a cardiomyopathy (CM) phenotype. Early diagnosis, which can be facilitated by genetic testing, is key to achieving optimal patient outcomes. Purpose To characterise the clinical profile and symptom burden of patients with hereditary transthyretin mutations associated primarily with a CM phenotype and rare hereditary transthyretin mutations. Methods This analysis used data from hATTR Compass, a genetic testing programme in the United States and Canada for patients suspected of having hATTR with polyneuropathy (PN) and patients with a family history of hATTR. Sequencing was performed using a TTR single-gene test, a gene panel of inherited cardiovascular disorders (CardioNext), or a gene panel of inherited neuromuscular disorders (NeuropathySelect). Akcea is aware of isolated data quality issues. Importantly, these do not affect the conclusions of this analysis. Results Cardiology specialists referred 466 patients with p.V142I, 15 with p.T80A, and 28 with rare TTR mutations to this programme. Of patients who reported sex, 57%, 53%, and 52% with p.V142I, p.T80A, and rare mutations, respectively, were male. Of patients who reported ethnicity, most with p.V142I were African American (94%), whereas the majority of patients with p.T80A and rare TTR mutations were Caucasian (100% and 69%, respectively). 24%, 60%, and 50%, of patients with p.V142I, p.T80A, and rare TTR mutations, respectively, had a family history of hATTR. The majority of patients with p.V142I (74%), p.T80A (53%), and rare TTR (54%) mutations were 65 years of age or older. Although most patients with p.V142I, p.T80A, and rare TTR mutations experienced symptoms/manifestations of heart disease (94% vs 100% vs 85%), many also presented with bilateral carpal tunnel syndrome (23% vs 44% vs 30%) and with sensory (27% vs 44% vs 65%), motor (15% vs 11% vs 25%), and autonomic (19% vs 11% vs 30%) dysfunction. Conclusion Most patients with the p.V142I mutation were African American, whereas many with p.T80A and other rare TTR mutations were Caucasian. Family history of hATTR was more common among patients with p.T80A and other rare TTR mutations than among patients with p.V142I. Regardless of the underlying mutation variant, many hATTR patients can present with various symptoms/manifestations aside from CM, such as PN and bilateral carpal tunnel syndrome. Recognising the neurological symptoms that can occur alongside CM and performing subsequent genetic testing facilitates diagnosis of hATTR. Early diagnosis is critical in hATTR because it is progressive and fatal, and early initiation of disease-modifying therapy is essential to optimising patient outcomes. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): This study was sponsored by Akcea Therapeutics, an affiliate of Ionis Pharmaceuticals, Inc.
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».