Estimated aortic pulse wave velocity predicts adverse events in females with thoracic aortic aneurysms
Notice bibliographique
Résumé
Abstract Introduction Despite being more common in males, thoracic aortic aneurysms (TAAs) have worse prognosis in females. Females with TAA are 3x more likely to experience acute aortic syndromes, and 40% more likely to die than their male counterparts, but mechanisms underlying this paradox are incompletely understood. The estimated aortic pulse wave velocity (e-PWV) is a marker of aortic stiffness that can be used widely due to its simplicity, as it does not require specialized equipment. We have previously shown that e-PWV was independently associated with faster TAA growth,(1) and that this association was twice as strong in females than males, but the role of e-PWV as a predictor of adverse outcomes in TAA remains unknown. Purpose We sought to evaluate the sex-specific association of e-PWV with adverse outcomes in patients with TAA. Methods We performed a prospective study of 102 males and 48 females with TAA. e-PWV was calculated according to validated equations utilizing age, mean arterial pressure, and presence/absence of cardiovascular risk factors.(2) The primary outcome was a composite of acute aortic syndromes, death, or elective aortic surgery. We used a Cox proportional hazard model to determine the independent association of e-PWV with the primary outcome, adjusted for age, BSA, aneurysm size and location, hypertension, and pulse pressure. Sex-specific models were performed if the interaction of sex*e-PWV was significant (P≤0.05). Univariate logistic regression models were performed to determine the c-statistic for e-PWV in predicting adverse outcomes, and the best e-PWV cutoff for this prediction was established based on sensitivity and specificity. Kaplan-Meier curves were performed using this cut-off. Results A summary of study design and results is presented in Picture 1. Mean age was 62±12 years, 70 (47%) had degenerative etiology, baseline aneurysm size was 46.3±4.3mm, and e-PWV was 9.5±1.9 m/s (not different between sexes, P>0.07 for each). Mean follow-up was 4.6±2.4 years in females and 5.5±2.3 years in males, P=0.031. The primary outcome occurred in 37 (25%) participants (3 dissections, 3 intramural hematomas, 1 aortic rupture, 22 elective surgical repairs and 11 deaths - 3 of which followed surgery). The interaction term sex*e-PWV was significant (P=0.0001), so sex-specific models were performed. e-PWV independently predicted the primary outcome in females (HR for 1m/s increase in e-PWV: 3.4; 95% confidence interval (CI): 1.1-14.7, P=0.033), but not in males (HR: 0.87; 95% CI: 0.50-1.51, P=0.622). In females, e-PWV had a c-statistic of 0.860 for the detection of the primary outcome, with a best e-PWV cutoff of 11.58 m/s (73% sensitivity, 92% specificity). Kaplan-Meier curves for the primary outcome in females using this cutoff are shown in Picture 2. Conclusion e-PWV independently predicts adverse outcomes in females with TAA, highlighting a novel marker for risk stratification and therapeutic targeting.Study summaryKaplan-Meier curves
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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) | 0,003 | 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 ».