KS36: WHICH HIGH-DEMAND ACTIVITIES SHOULD BE CONSIDERED IN THE EVALUATION OF FUNCTION AFTER TKA?
Notice bibliographique
Résumé
Introduction: It is generally agreed that the function of the knee after total knee arthroplasty needs to be improved to meet the expectations of younger and more active patients. However, little objective information consists to quantify the frequency and importance of activities that place increased biomechanical demand on the knee. This study was performed to asses which specific “high-demand” activities are actually performed by patients after knee replacement, and which activities are of greatest personal importance to the patient. Methods: An initial group of 243 patients (47% male; 53% female, average age: 70 years; range: (45–91 yrs)) were enrolled in this study with Institutional approval. All were at least 1 year post knee replacement and resided in the Houston area. All participants completed a validated, self-administered knee function questionnaire consisting of 55 scaled multiple choice questions regarding each respondent’s physical activities, limitations, and level of importance for those activities. Participants were also asked to assess the personal importance of each activity and the severity of any symptoms experienced when each activity was performed. An expanded version of the Knee Function Questionnaire was completed by a second group of 101 patients from 5 centres in the United States and Canada. This instrument addressed 120 physical, vocational and recreational activities involving the knee. Fifty-four of these activities were considered “highly demanding” and were drawn from a wide variety of water and team sports, martial arts, running/biking, exercise, weight-lifting and fitness training. Results: The initial study demonstrated that TKR patients participate in a wide range of “high demand” activities. Most commonly, activities requiring increased knee flexion were gardening (58% participation), kneeling (64%), and squatting (39%). Moderate to severe difficulty was reported by 39% (squatting) to 64% (kneeling) of respondents performing these activities. The most common activity which placed increased loads on the affected joint was carrying loaded shopping bags (47% participation), which provoked Significant symptoms in 23% of patients. The expanded nation-wide study showed that after TKR, few patients actually perform high impact competitive sports although many patients perform individual exercise routines which potentially place Significant demands on the knee. The most common of these “high demand” activities were still squatting and kneeling, but also included participation in gym and exercise activities, typically leg extensions (59%), leg curls (35%) and leg press exercises (33%). Conclusions: Kneeling and squatting are the most common “high-demand” activities actually performed on a routine basis by patients after TKR After TKR, patients rarely participate in particularly demanding competitive sports, however, individualized exercise and fitness activities are common. As these activities vary extensively, surgeons are advised to ask individual patients which activities they enjoy for recreation and exercise to enable specific advice to be provided concerning possible impact on the durability of the prosthesis.
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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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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.
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 ».