POS0108 WOMAC KNEE PAIN: DOES IT WALK THE WALK?
Notice bibliographique
Résumé
Background Due to its major public health impact, knee osteoarthritis (KOA) has been designated as a serious disease by the US Food and Drug Administration (FDA). Approval of a disease modifying osteoarthritis drug (DMOAD) to slow or prevent disease progression hinges on demonstrating both symptomatic (i.e., how a patient feels or functions) and structural improvement. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), the questionnaire most commonly used to assess symptomatic improvement, may not adequately reflect pain reporting due to KOA. The lack of DMOAD approval to date has largely been attributed to the lack of clinical translation of structural benefits that also yield symptomatic improvements. Drugs targeting inflammation are an example of a therapeutic approach that has yielded evidence of structural benefit but not symptomatic improvement as assessed by the WOMAC. Objectives Evaluate potential heterogeneity of the effects of structural damage on knee pain reporting across activities assessed in the WOMAC pain subscale following recent development of radiographic knee osteoarthritis. Methods The Osteoarthritis Initiative is a longitudinal observational study of participants with or at risk of symptomatic knee OA. We identified incident cases of radiographic KOA, defined as Kellgren-Lawrence [KL] grade 2 or 3 based on centrally graded x-rays. Participants underwent bilateral posteroanterior fixed-flexion weight-bearing knee radiography at clinic visits annually or biannually through year 10. Non-contrast 3T MRI was also acquired at clinic visits up to year 8. Musculoskeletal radiologists graded structural damage, including effusion-synovitis (ES), Hoffa-synovitis (HS), bone marrow lesions (BMLs), cartilage and meniscal damage using the MRI Osteoarthritis Knee Score (MOAKS). The WOMAC knee pain subscale is calculated by adding reported pain scores from various activities, including walking on a flat surface, going up or down stairs, at night while in bed, sitting or lying down, and standing, during the last seven days, rated on a 5-point scale from none (0), mild (1), moderate (2), severe (3), or extreme [4]. Pain in each knee was reported separately. We fit a proportional odds logistic regression to model the ordinal pain scores reported for each activity on the WOMAC pain scale using penalized maximum likelihood estimation; predictors included each of the MRI structural damage scores, KL grade, age, and BMI at the same clinic visit, as well as sex and race. We estimated the predicted probability of pain rated moderate or worse (Pr[Y ≥ 2 | X]), and reported nonparametric bootstrap 95% confidence intervals (CI) with cluster sampling at the participant-level. Results We identified 690 knees contributed by 623 participants that developed radiographic KOA. The mean participant age was 65 years (SD 9), mean BMI was 29.3 (SD 4.8), 66% reported female sex and 83% self-identified as white. The predicted probability of knee pain rated moderate or worse (≥2) increased with greater ES during walking and stair climbing, but there was no evidence that ES affected knee pain while in bed, sitting or lying down, or standing (Figure 1). We did not find evidence that HS, BMLs, cartilage or meniscal damage affected the WOMAC knee pain items cross-sectionally in our fully adjusted models. Conclusion Our study suggests that ES seen on MRI produces heterogeneous effects on pain reporting, depending on the type of activity. Treatments that are developed to target inflammation may reduce pain during some activities, such as walking and stair climbing, but may have little benefit during other activities, such as sitting or lying down. If a treatment effectively reduces or limits structural damage that differentially impacts pain across the activities included in the WOMAC pain subscale, analysis that focuses only on the WOMAC pain subscale score may mask the clinical benefit of the treatment. REFERENCES: NIL. Acknowledgements: NIL. Disclosure of Interests C. Kent Kwoh Consultant of: Avalor Therapeutics, Express Scripts, Kolon Tissue Gene, LG Chem Regeneron, Grant/research support from: AbbVie, Cumberland, Lilly, Pfizer, Frank Roemer Shareholder of: BICL, LLC, Consultant of: Calibr, Grünenthal, Ali Guermazi Shareholder of: BICL, LLC., Consultant of: Pfizer, Kolon TissueGene, Novartis, Regeneron, TrialSpark, Medipost, ICM, Erin Ashbeck: None declared.
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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 | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,085 | 0,026 |
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 ».