Abstract 170: A Correlation Between Intracranial Aneurysm and Immunoinflammatory Status with the Imaging Characteristics of Periodontitis
Notice bibliographique
Résumé
IIntroduction/Purpose Intracranial aneurysms (IAs) are abnormal vascular dilations that often result in severe intracranial bleeding, contributing to morbidity and mortality worldwide. It is believed that IA development, growth, and rupture originate from endothelial dysfunction. A high prevalence of periodontal diseases (PDs) has been linked to both unruptured and ruptured IAs, suggesting that PDs‐associated bacterial invasion, followed by a local immunoinflammatory response, may play a role in IA formation. However, the pathophysiological link between PDs and IAs remains unclear. While some studies have explored the association between PDs and IAs, the relationship between imaging findings suggestive of periodontitis and the status of IAs has not been adequately examined. This study aims to correlate imaging manifestations suggestive of periodontitis with the immunoinflammatory status and aneurysm characteristics in patients with both ruptured and unruptured IAs. Materials and Methods A cross‐sectional study was conducted, classifying patients with IAs and controls (no aneurysms) into six subgroups: 1) Control group, 2) Stable aneurysms, 3) Previously unruptured, currently unruptured treated aneurysms, 4) Previously ruptured, currently unruptured treated aneurysms, 5) Previously unruptured, currently ruptured aneurysms, and 6) Previously ruptured, currently ruptured aneurysms. Computerized Tomography (CT) scans were acquired to evaluate teeth and adjacent alveolar bone for signs of PD. All CT scans were evaluated by a trained dentist. Saliva samples were collected and analyzed for inflammatory markers (e.g., IL‐1β, IL‐6, TNF‐α) and periodontopathic microorganisms. Peripheral blood samples from all groups, and intra‐aneurysmal blood from Groups 3‐6, were collected and analyzed for inflammatory biomarkers and microorganisms. Results This study is a subanalysis of the DentIA study, focusing on periodontal imaging findings in patients with and without IAs. The prevalence and severity of PD markers, such as alveolar bone loss and periodontal pocket, will be analyzed across different patient subgroups. The correlation between the quantity and severity of alveolar bone loss, suggestive of periodontitis, detected on CT and elevated immunoinflammatory biomarkers in saliva, peripheral blood, and intra‐aneurysmal blood will be examined. The levels of IL‐1β, IL‐6, and TNF‐α will be compared amongst patients, stratifying by degree of alveolar bone loss. Additionally, the presence of periodontopathic microorganisms, particularly Porphyromonas gingivalis and Treponema denticola , will be analyzed in patients with and without identifiable aneurysms. Furthermore, extensive alveolar bone loss on imaging will be compared among patients with IAs, evaluating the prevalence and association in patients with advanced aneurysm status, whether in terms of growth, previous rupture, or post‐treatment recurrence. These results may further clarify the potential connection between oral health and the immunoinflammatory environment conducive to aneurysm development and progression. Conclusion This study will provide a detailed analysis of the relationship between IA status, immunoinflammatory biomarkers, and CT imaging characteristics of periodontitis. These preliminary results will indicate how the CT images suggestive of periodontitis are correlated with immunoinflammatory biomarkers in patients with IAs, discussing the potential association between periodontitis imaging characteristics and the presence of IAs, in addition to an elevated immunoinflammatory and periodontopathogenic profile.
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 | 0,001 |
| 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 | 0,000 | 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) | 0,002 | 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 ».