Association Between Symptomatic Knee Osteoarthritis and Blood Glucose Control in Persons with Type 2 Diabetes
Notice bibliographique
Résumé
Objectives There is a high prevalence of knee osteoarthritis (OA) in people with type 2 diabetes (T2D), and knee OA increases risk for diabetes complications. Our objective was to assess the association between symptomatic knee OA and attainment of target blood glucose levels in individuals with T2D. Methods In this cross-sectional study, we recruited individuals with T2D aged ≥45 years from diabetes clinics at 3 academic hospitals in Toronto. Participants completed standardized online questionnaires that assessed demographics, comorbidities, height and weight, and joint symptoms. From clinic records we abstracted participants’ most recent HbA1c (within 3 months). Knee OA was defined as fulfilling NICE criteria. We considered blood glucose control at target if HbA1c was ≤7.0%. We used multivariable logistic regression to assess the association between knee OA and being at blood glucose target, adjusting for age and gender. We then examined the effect of further adjusting for body mass index (BMI). In secondary analyses, we repeated modeling with exposure of interest knee OA with knee pain ≥20/100 on pain numeric rating scale (NRS) (yes/no). Results We included 351 participants. Mean age was 66.9 (SD 9.8) years, 50.7% women, mean BMI 29.1 (SD 6.8) kg/m 2 , and 28.5% fulfilled NICE criteria for knee OA. Mean HbA1c was 7.4 (SD 1.2); 44% had HbA1c at target (≤7.0%). In univariable analysis, those with knee OA had lower odds of being at target (OR 0.60, 95% CI 0.37 to 0.97). Results were similar after adjusting for age and gender (OR 0.59, 95% CI 0.36 to 0.95). When further adjusting for BMI the effect of knee OA was attenuated and was not statistically significant (OR 0.65, 95% CI 0.39 to 1.06). When exposure of interest was knee OA with self-reported pain ≥20/100, we found a stronger negative association; this met statistical significance even after adjusting for BMI (OR 0.59, 95% CI 0.35 to 0.997) (Figure 1). Figure 1. Effect of (A) knee osteoarthritis overall and (B) knee osteoarthritis with pain ≥20/100 on meeting glyeemic target (HbAlc ≤7.0%). Conclusion Individuals with T2D with knee OA are less likely to be at the recommended target for glycemic control. This association was stronger for those who currently reported pain and remained significant even after adjusting for BMI. This suggests that symptomatic knee OA may increase the risk of diabetes complications through worse glycemic control, and symptom severity is likely important. Further studies are needed to better understand this relationship, as well as the role of additional mechanisms by which knee OA could lead to diabetes complications such as cardiorespiratory fitness and/or systemic inflammation. Best Abstract on Research by Early Career Faculty Award
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 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 | 0,006 |
| 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 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».