Sino-Nasal Quality of Life before and after Endoscopic Transsphenoidal Skull Base Surgery
Notice bibliographique
Résumé
Background: Endoscopic transsphenoidal surgery (ETSS) is now considered the gold standard approach for resection of pituitary adenomas and other midline anterior skull base lesions. Our standard surgical technique, done since 1993, often involves the partial resection of the middle turbinates bilaterally, a wide posterior septectomy along with a wide sphenoid opening to allow for adequate bi-nostril instrumentation. For extended ETSS, additional sinus cavities are opened where the entire skull base and orbit are skeletonized. Concern has been raised over the last few years whether the resection of these normal sinonasal structures results in significant nasal morbidity in the post-operative period. Objective: The purpose of this study was to examine whether our standard ETSS technique as well as the extended ETSS approach affected patient specific sinonasal quality of life (QoL) as measured by the validated 22-question Sino-Nasal Outcome Test (SNOT-22). Methods: Single-center retrospective chart review with prospective collection of SNOT-22 questionnaires in patients who underwent ETSS by the same skull base team between January 1st 2012 to June 30th 2016. Patients were identified if they had any completed SNOT-22. Only patients who completed both pre-operative and post-operative SNOT-22 in their entirety were included for data analysis. Primary outcome was SNOT-22 scores at all follow-up points (preoperative, 0–1 month, 2–4 months, >5 months). Age, sex, tumor pathology, and surgical procedure (including extent of ETSS and intraoperative CSF leak repair) were also extracted. Results: 249 ETSS were performed during the study period. Of these, 148 (59%) patients had at least one completed SNOT-22 score, with 45 (30%) meeting the inclusion criteria. The mean age was 54 ± 15 years. Twenty-seven (27) patients (60%) were male and 11 (24%) underwent an extended ETSS – with additional skull-base resection. There were 20 patients (44%) who had an intraoperative CSF leak with repair and 11 patients (24%) previously had nasal surgery. Twenty-six (26) patients (58%) had pituitary adenomas. Across all patients, SNOT-22 at the 0- to 1-month follow-up was significantly higher than baseline ( p < 0.05), but decreased to baseline levels at 2 to 4 months ( p > 0.05), and remained at that level at >5 months ( p > 0.05). The findings were similar for sinonasal specific outcomes and olfactory function. Moreover, the extent of ETSS surgery, having previous nasal surgery, repairing an intraoperative CSF leak, and the tumor pathology, all did not affect SNOT-22 scores at all follow-up intervals ( p > 0.05). Conclusion: In our series, sinonasal QoL as measured by the SNOT-22 worsened immediately after ETSS at the 0- to 1-month follow-up. However, the total SNOT-22 score, sinonasal specific items, and olfaction all returned to baseline levels at 2 to 4 months and remained sustained at >5 months. These data will allow us to educate our patients that the anticipated nasal morbidity following ETSS is usually only transient and should be expected to recover to pre-operative levels.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 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 ».