Measures of aortic function independently predict adverse events in females with thoracic aortic aneurysms
Notice bibliographique
Résumé
Abstract Background/Introduction Thoracic aortic aneurysm (TAA) is a disease associated with high morbidity and mortality. TAA is more common in males, but females with TAA experience faster aneurysm growth and a higher risk of acute aortic syndromes and death. We have previously demonstrated that measures of aortic function, correlating with abnormal aortic wall architecture and reflecting worse aortic health, are independently associated with aneurysm size and expansion, specifically among females. To date, international guidelines focus on aneurysm size to determine timing for prophylactic surgical intervention, however adverse outcomes can occur before surgical thresholds are met, highlighting the need for novel risk assessment tools in TAA. Purpose We sought to evaluate whether measures reflecting proximal aortic function (where the TAA is located) would independently predict adverse outcomes in men and women with TAA. These measures include: aortic characteristic impedance (Zc), proximal aortic compliance (PAC), proximal aortic pulse wave velocity (PAoPWV) and the aortic stiffness-thickness product (Eh). Study summary is illustrated in Picture 1. Methods We performed a prospective study of 102 males and 48 females with TAA. Measures reflecting proximal aortic function were non-invasively assessed with validated methodology combining arterial tonometry with transthoracic echocardiography at the time of enrollment. The primary outcome was a composite of acute aortic syndromes, death, or guideline-directed aortic surgery. We used Cox proportional hazard models to determine the independent associations of aortic function measures with the primary outcome. PAoPWV and Eh were log-transformed to reduce skewness. Models were adjusted for variables previously demonstrated to predict adverse outcomes in TAA: age, sex, aneurysm size and etiology, and mean arterial pressure (MAP). Sex-specific models were performed if the interaction of sex *aortic function measure was significant (P≤0.05). Results Mean age was 62±12 years, 70 (47%) had degenerative etiology, baseline aneurysm size was 46.3±4.3mm, and MAP was 90±10 mmHg (not different between and women, 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. Our primary outcome occurred in 37 (25%) participants (3 dissections, 3 intramural hematomas, 1 aortic rupture, 22 elective surgical repairs and 8 deaths). Interaction terms of sex with each of the aortic function variables were significant (P<0.04 for each). Results of the sex-specific models are summarized in Picture 2. We observed that higher Zc, PAoPWV and Eh, and lower PAC were each independently associated with an increased risk of adverse outcomes among females only. Conclusions Among females with TAA, measures of proximal aortic function are independent predictors of adverse events, highlighting novel markers for risk stratification and therapeutic targeting.Illustrative Summary
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| 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 | 0,001 |
| 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 ».