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Enregistrement W3191972360 · doi:10.2106/jbjs.21.00497

Central Sensitization Is an Important Factor in the Outcome of Patients Undergoing Total Knee Arthroplasty

2021· article· en· W3191972360 sur OpenAlexaboutno aff
Nicholas A. Bedard

Notice bibliographique

RevueJournal of Bone and Joint Surgery · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueTotal Knee Arthroplasty Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMinimal clinically important differenceMedicineWOMACPhysical therapyReceiver operating characteristicArthroplastyTotal knee arthroplastyOsteoarthritisPatient-reported outcomeQuality of life (healthcare)SurgeryInternal medicineRandomized controlled trialAlternative medicine

Résumé

récupéré en direct d'OpenAlex

Commentary It is well known that as many as 20% of patients are not satisfied after total knee arthroplasty (TKA), with such patients often reporting persistent pain or dysfunction1. Although there are many possible causes for dissatisfaction after TKA, it has become increasingly recognized in recent years that there are a multitude of factors outside of the surgical procedure that contribute to the overall success of TKA. An emerging area of research has sought to identify the role of central sensitization (CS) on the outcomes of TKA. Prior literature has demonstrated that patients with CS have worse quality of life, functional disability, and dissatisfaction than patients without CS after TKA despite achieving comparable clinical improvements after the surgical procedure2. This begs the question of whether CS impacts the calculation of the minimal clinically important difference (MCID) for outcome measures commonly utilized to evaluate patients who undergo TKA. Kim et al. attempted to answer this question by retrospectively evaluating 422 patients who underwent primary TKA. The authors preoperatively evaluated patients for CS utilizing a validated self-reported inventory for CS syndrome and obtained preoperative and 2-year postoperative Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores for all patients. The MCID was then calculated for patients with and without CS via both anchor-based and distribution methodology, utilizing both the change difference method and the receiver operating characteristic (ROC) curve method for anchor-based analyses. The authors should be commended for utilizing multiple methods for calculating the MCID, as this provides a much more inclusive evaluation of this important end point. One of the more interesting findings of this article was that 1 in 4 patients who underwent TKA in this series met the criteria for CS syndrome. Although this is not a new finding, it further highlights that CS is likely to be commonly encountered by orthopaedic providers caring for patients who undergo TKA. This study also demonstrated that the calculated MCIDs for patients with CS were significantly larger than those for patients without CS. Although the clinical importance of a 2 to 3-point difference in the MCID for the ROC curve and distribution-based methods of calculation has yet to be determined, the MCID was almost 9 points larger for patients with CS (23.4 points) compared with patients without CS (14.7 points) when calculated with the change difference method. This is a quite large and likely clinically important difference in MCID values. The trends from the data presented in the article are evident, and this study clearly demonstrated that patients with CS required larger improvements in clinical outcomes compared with patients without CS to reach a level that was considered a clinically meaningful improvement. This study further highlighted the complexity of caring for patients who underwent TKA and have CS by demonstrating that patients with CS were much less likely than patients without CS to even achieve an MCID after TKA. Depending upon the method of MCID determination, patients with CS achieved an MCID for the total WOMAC score at a rate of 13% to 15% less than patients without CS. Thus, not only do patients with CS require larger improvements in function to reach the MCID, but they are also significantly less likely to reach this outcome threshold. Although this article brings to light the importance of considering CS when evaluating MCIDs after TKA, it would have been helpful if the authors would have also evaluated the impact of CS on other defined clinical outcome thresholds such as the patient acceptable symptom state (PASS) and substantial clinical benefit (SCB), rather than focusing solely on the minimum improvement necessary to define success. This tiered approach to evaluating clinical outcomes scores (MCID, PASS, and SCB) provides a much more comprehensive view of patient outcomes3, and I suspect that the impact of CS would be even more magnified when analyzing higher definitions of clinical success. Nonetheless, Kim et al. demonstrate that CS is commonly encountered in patients who undergo TKA and is an important factor in their outcomes following the surgical procedure. CS should be considered when utilizing an MCID to compare interventions or outcomes between cohorts undergoing TKA going forward. Additionally, future research is now needed to identify ways in which we can intervene for patients with CS to bring their outcomes more closely in line with those of patients without CS.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,037
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,037
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0020,000
Intégrité de la recherche0,0050,003
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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 Opus0,027
Tête enseignante GPT0,251
Écart entre enseignants0,223 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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