Clinical efficacy of fire-needle warming therapy in the treatment of knee osteoarthritis of cold-dampness type and its effect on serum IL-1β and MMP-3
Notice bibliographique
Résumé
OBJECTIVE: This study aims to explore the clinical efficacy of fire-needle warming therapy in managing knee osteoarthritis attributed to cold-dampness patterns. Specifically, it evaluates the therapy's influence on interleukin-1β (IL-1β) serum concentrations and matrix metalloproteinase-3 (MMP-3). METHODS: A retrospective analysis was conducted on 80 patients treated for knee osteoarthritis from September 2023 to February 2024. Patients were divided into two groups: 40 received electroacupuncture, and 40 received fire acupuncture combined with warming techniques. The primary outcome measures included treatment efficacy, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, compare the changes in IL-1β and MMP-3 levels in serum and synovial fluid between two groups, and compare the total knee joint X-ray scores between the two groups: pain levels and knee joint function. Adverse reactions were also recorded. RESULTS: The fire acupuncture group had a significantly higher treatment efficacy rate (92.5%) compared to the electroacupuncture group (75%, P < 0.05). Both groups showed significant reductions in WOMAC scores post-treatment, with a greater reduction in the fire acupuncture group (P < 0.05). Serum levels of IL-1β and MMP-3 decreased significantly in both groups, with a more pronounced decrease in the fire acupuncture group (P < 0.05). After 4 weeks of intervention and 8 weeks of follow-up, the levels of IL-1β and MMP-3 in the synovial fluid of the fire needle group and the electroacupuncture group were significantly reduced (P < 0.05), and the fire needle group was significantly lower than the electroacupuncture group (P < 0.05). Pain and knee function scores improved significantly in both groups, with the fire acupuncture group showing greater improvements (P < 0.05). After 4 weeks of intervention and 8 weeks of follow-up, the total joint X-ray scores of the fire needle group and the electroacupuncture group were significantly reduced (P < 0.05), and the fire needle group was significantly lower than the electroacupuncture group (P < 0.05). The adverse reaction rate was lower in the fire acupuncture group (5%) compared to the electroacupuncture group (20%, P < 0.05). CONCLUSIONS: Fire-needle warming therapy demonstrates significant clinical efficacy in treating knee osteoarthritis of the cold-dampness type. It effectively reduces inflammation and pain and improves knee function, suggesting its potential for broader clinical application. Further research is recommended to confirm these findings. Key Points • Fire needle acupuncture for knee osteoarthritis: Fire needle acupuncture is highly effective in treating cold-dampness arthralgia-type knee osteoarthritis by promoting blood circulation, enhancing metabolism, and reducing inflammation. • Clinical and biochemical outcomes: Patients receiving fire needle acupuncture showed significantly better clinical outcomes, including lower pain scores, improved knee function, and decreased serum levels of IL-1β and MMP-3 compared to those receiving electroacupuncture. • Safety and efficacy: Fire needle acupuncture provides superior therapeutic effects and results in fewer adverse reactions compared to electroacupuncture, highlighting its safety and efficacy in clinical practice.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».