2021 revised algorithm for the management of knee osteoarthritis-the Chinese viewpoint.
Aging Clin Exp Res
; 33(8): 2141-2147, 2021 Aug.
Article
en En
| MEDLINE
| ID: mdl-34189714
ABSTRACT
AIM:
The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) algorithm for the management of knee osteoarthritis (OA) is available worldwide from 2014, but in 2019 an update was published. Based on this algorithm, a Working Group (WG), including ESCEO members and Chinese experts, wished to see how the new ESCEO algorithm was perceived by Chinese experts in knee OA and how it was integrated into their clinical practice.METHODS:
A WG was held between members of the international ESCEO task force and a group of Chinese experts.RESULTS:
Non-pharmacological approach should be combined with pharmacological interventions. In step 1, symptomatic slow-acting drugs for osteoarthritis (SYSADOA) are the most important background drugs. Evidence, supported by high-quality research, is available only for crystalline glucosamine sulfate (pCGS) and chondroitin sulfate. Topical NSAIDs could be used as an additional option. In step 2, oral NSAIDs could be useful, but cardiovascular/renal/gastrointestinal profiles of the patients should be considered. Intra-articular hyaluronic acid and corticosteroids are alternative to oral NSAIDs, but the evidence is still limited. If steps 1 and 2 are not sufficient, weak opioids could be used. Overall, the conclusions of the ESCEO algorithm are accepted in China for products available in this country. The WG suggests the importance of economic studies, specifically made in China.CONCLUSION:
This work provides evidence-based advice to establish a treatment algorithm in knee OA, for practical implementation in clinical practice in China.Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Osteoartritis de la Rodilla
Tipo de estudio:
Prognostic_studies
Límite:
Humans
País/Región como asunto:
Asia
Idioma:
En
Revista:
Aging Clin Exp Res
Asunto de la revista:
GERIATRIA
Año:
2021
Tipo del documento:
Article
País de afiliación:
China