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Enregistrement W4416209151 · doi:10.1302/1358-992x.2025.13.008

EFFECT OF PREOPERATIVE SELF-REPORTED ANXIETY AND/OR DEPRESSION ON PATIENT-REPORTED OUTCOMES IN HIP AND KNEE ARTHROPLASTY PATIENTS

2025· article· en· W4416209151 sur OpenAlexaff
Shannon Weir-Seeley, James P. Waddell, Clarissa Encisa, Ricardo Antonio Escamilla-Santiago, Michael Terner

Notice bibliographique

RevueOrthopaedic Proceedings · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueTotal Knee Arthroplasty Outcomes
Établissements canadiensCanadian Institute for Health Information
Organismes subventionnairesnon disponible
Mots-clésAnxietyDepression (economics)ArthroplastyKnee replacementMental healthHip arthroplastyJoint replacementOrthopedic surgery

Résumé

récupéré en direct d'OpenAlex

Hip and knee replacements are among the most effective treatments for degenerative joint conditions. Patient-reported outcome measures (PROMs) are essential to a person-centred approach to health care, providing the patients’ perspective on aspects of their health status. Pain, anxiety and depression are important to consider as they are associated with poorer outcomes yet are potentially modifiable. This work aims to examine the relationship of self-reported pre-operative anxiety and/or depression with PROMs one year after a hip or knee replacement. PROMs, including Oxford Hip/Knee Scores (OHS/OKS), EQ-5D-5L and post-operative satisfaction, were completed by patients who had a primary, elective, unilateral hip or knee replacement between 2018 and 2022. Demographic characteristics and self-reported outcomes at 12 months (functional status, pain, and satisfaction) were compared between patients reporting any problems with anxiety and/or depression before surgery versus no problems as measured by the EQ-5D-5L. Differences in baseline characteristics (age, sex) were accounted for when comparing the effect of mental health concerns on outcomes. A total of 3,326 hip and 3,730 knee replacement patients completed PROMs before and one year after surgery. Before surgery, 60% and 55% of hip and knee replacement patients reported some level of anxiety and/or depression. We observe that patients with anxiety and/or depression are at a higher risk of poorer self-reported functional status before and after surgery, but the average improvement in their Oxford score is slightly higher than those without anxiety and/or depression. The proportion of patients who reached a minimal clinically important difference (based on Deckey et al.) are also similar between patients with mental health concerns versus without (hip: 92% vs. 91%; knee 88% vs. 86%). Patients with anxiety and/or depression are also at a higher risk of having problems with pain a year after surgery than patients without mental health concerns (hip OR: 1.82, p=< .0001; knee OR: 1.55, p=< .0001). Five percent or less of patients reported worsened pain for both groups. Finally, anxiety and/or depression is also a predictor of feeling neutral or dissatisfied with a patient's surgical results (hip OR: 1.51, p=0.003; knee OR: 1.56, p=< .0001). These relationships were observed in both hip and knee patient groups. We found that patients who reported feeling anxious and/or depressed before surgery are likely to attain similar improvement in self-reported functional outcomes compared to patients without psychological concerns. Further investigation is needed to understand why patients having anxiety and/or depression were more likely to be dissatisfied with their surgical results. A limitation of this analysis is the lack of data on patient expectations, which has been shown to be a predictor of satisfaction. Selection bias cannot be discounted as it may be possible that patients who attain better functional outcomes are more likely to complete PROMs post-operatively. These results demonstrate the need to address mental health concerns for these patients (e.g., pre-operative counselling on expectation setting and the impact of anxiety and/or depression on perceived functional gains) to improve satisfaction with surgery and outcomes.

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)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
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 enseignants0,036
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
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 Opus0,006
Tête enseignante GPT0,255
Écart entre enseignants0,249 · 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.

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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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