Hidden malnutrition in obesity and knee osteoarthritis: Assessment, overlap with sarcopenic obesity and health outcomes
Notice bibliographique
Résumé
Background & aims Malnutrition may be a hidden but relevant health condition in individuals with obesity and osteoarthritis. The Global Leadership Initiative on Malnutrition (GLIM) consensus includes muscle mass as one of the key phenotypic criteria, potentially enhancing its ability to detect malnutrition in individuals with obesity. We comprehensively profiled the nutritional status of individuals with obesity and advanced knee osteoarthritis and explored associations with health outcomes. Methods Data from the Prevention Of MusclE Loss in Osteoarthritis (POMELO) study was used, which included individuals with knee osteoarthritis and BMI≥35 kg/m 2 . Nutritional status was evaluated using the GLIM and sarcopenic obesity (SO) criteria. Low muscle mass (dual-energy x-ray absorptiometry), inflammation (C-reactive protein [CRP]), low muscle strength (handgrip/BMI), objective physical function (chair-stand test, 6-min walk test), and self-reported measures (quality of life, arthritis symptoms, and self-efficacy) were evaluated. Linear regressions were performed between GLIM-malnutrition and health outcomes, adjusted by age. Results Forty-six individuals (73.9% female, age 64.2 ± 6.7 years, BMI 42.4 ± 4.7 kg/m 2 ) were included. Regarding nutritional status, 26.1% were classified with malnutrition (i.e., defined by the combination of low muscle mass and elevated CRP concentration), 26.1% with SO, and 13% shared both conditions. Individuals with malnutrition presented with worse self-reported physical function (WOMAC function: 38.0 ± 6.6 vs. 32.0 ± 12.5, p = 0.04) and lower arthritis self-efficacy (‘other symptoms' component: 5.1 ± 1.9 vs. 6.3 ± 1.7, p = 0.04) compared to those without malnutrition. A trend was identified for lower quality of life (visual analog scale 46.8 ± 12.3 vs. 58.3 ± 20.5, p = 0.06) in those with malnutrition. Poor lipid control (R 2 = 0.15, β = 0.76, 95% CI 0.08–1.44, p = 0.030), body fat (R 2 = 0.14, β = 5.56, 95% CI 1.01–10.11, p = 0.018), and poor arthritis self-efficacy (R 2 = 0.09, β = −1.23, 95% CI -2.39–0.06, p = 0.040) were also associated with malnutrition. Conclusions Participants presented with high malnutrition rates (1 out of 4), and half of them also had SO. Malnutrition was associated with abnormal metabolic parameters, lower arthritis self-efficacy, and worse self-reported physical function. An early nutritional assessment and intervention may be imperative for individuals with osteoarthritis and obesity to mitigate health consequences.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».