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Enregistrement W2570513809 · doi:10.1055/s-0036-1582769

Does Age Affect Surgical Outcomes in Patients with Degenerative Cervical Myelopathy?: Results from the Prospective, Multicenter AOSpine International Study on 479 Patients

2016· article· en· W2570513809 sur OpenAlexaff
Hiroaki Nakashima, Lindsay Tetreault, Narihito Nagoshi, Aria Nouri, Michael G. Fehlings

Notice bibliographique

RevueGlobal Spine Journal · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueCervical and Thoracic Myelopathy
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineMyelopathyPopulationProspective cohort studyPhysical therapyMinimal clinically important differenceSurgeryInternal medicineRandomized controlled trialSpinal cord

Résumé

récupéré en direct d'OpenAlex

Introduction Currently, the global population is experiencing a shift in its age structure. With this aging of the population, clinicians worldwide will be required to manage an increasing number of patients with degenerative cervical myelopathy (DCM). However, there is controversy whether surgical decompression is equally effective and safe in elderly patients as it is in younger patients. This study aims to determine whether age truly is an independent predictor of surgical outcome and to provide evidence to guide practice and decision-making. Material and Methods A total of 479 symptomatic DCM patients were prospectively enrolled in the CSM-International study at 16 centers. Our sample was divided into a younger (<65years) and elderly (≥65years) group. Each subject was neurologically examined at baseline and 24-months postoperatively and evaluated using a variety of functional outcome measures, including the Neck Disability Index (NDI), SF-36 physical component summary (PCS) and mental component summary (MCS), and the modified Japanese Orthopaedic Association scale (mJOA). A mixed model analytic approach was used to evaluate differences in these outcome measures between groups. We first created an unadjusted model between age and surgical outcome and then developed two adjusted models that accounted for variations in 1) baseline characteristics and 2) both baseline and surgical factors. Results Of the 479 patients, 360 (75.16%) were < 65 years and 119 (24.84%) were ≥65 years. There were no significant differences in gender ( p = 0.82) or duration of symptoms ( p = 0.82) between the two age groups. However, elderly patients had a significantly higher number of co-morbidities ( p < 0.0001). In addition, elderly patients were functionally more impaired preoperatively based on the mJOA ( p < 0.0001) and Nurick ( p < 0.0001) scales and had a lower SF-36 PCS ( p = 0.048). The majority of younger patients (64.96%) underwent anterior surgery, whereas the preferred approach in the elderly group was posterior (58.62%) ( p < 0.0001). Elderly patients had a greater number of decompressed levels (4.14 ± 1.30) than younger patients (3.50 ± 1.23) ( p < 0.0001). Three hundred and eight-nine patients (81.21%) attended their 24-month follow-up appointment. Younger patients achieved a higher postoperative mJOA ( p < 0.0001) and a lower Nurick score ( p < 0.0001) than elderly patients. SF-36 PCS scores were also significantly higher in the younger group ( p = 0.033). There were no significant differences in postoperative NDI or SF-36 MCS between age groups. After adjustments for patient and surgical characteristics, these differences in postoperative outcome scores decreased but remained significant. On average, elderly patients had a significantly longer length of postoperative hospital stay (12.99 ± 13.56 days) than younger patients (9.53 ± 8.67 days) ( p = 0.0086). There were no significant differences between the two age groups with respect to rates of perioperative complications ( p = 0.47). Conclusion Older age is an independent predictor of functional status in patients with DCM. However, patients over 65 with DCM still achieve functionally significant improvement after surgical decompression. Potential explanations for this lower functional outcomes in older patients include that the elderly 1) increased degenerative pathology, including a decrease in number of anterior horn cells and number of myelinated fibers 2) co-morbidities, 3) reduced physiological reserves and 4) age-related changes to the spinal cord.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,030
Score d'incertitude au seuil0,492

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,278
Écart entre enseignants0,269 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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