Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled Trial
Background: Ayurveda is widely practiced in South Asia in the treatment of osteoarthritis (OA). The aim of these secondary data analyses were to identify the most relevant variables for treatment response and group differences between Ayurvedic therapy compared to conventional therapy in knee OA pat...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
|
| Series: | Journal of Clinical Medicine |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0383/11/11/3047 |
| _version_ | 1797492897795276800 |
|---|---|
| author | Christian S. Kessler Michael Jeitler Kartar S. Dhiman Abhimanyu Kumar Thomas Ostermann Shivenarain Gupta Antonio Morandi Martin Mittwede Elmar Stapelfeldt Michaela Spoo Katja Icke Andreas Michalsen Claudia M. Witt Manfred B. Wischnewsky |
| author_facet | Christian S. Kessler Michael Jeitler Kartar S. Dhiman Abhimanyu Kumar Thomas Ostermann Shivenarain Gupta Antonio Morandi Martin Mittwede Elmar Stapelfeldt Michaela Spoo Katja Icke Andreas Michalsen Claudia M. Witt Manfred B. Wischnewsky |
| author_sort | Christian S. Kessler |
| collection | DOAJ |
| description | Background: Ayurveda is widely practiced in South Asia in the treatment of osteoarthritis (OA). The aim of these secondary data analyses were to identify the most relevant variables for treatment response and group differences between Ayurvedic therapy compared to conventional therapy in knee OA patients. Methods: A total of 151 patients (Ayurveda <i>n</i> = 77, conventional care <i>n</i> = 74) were analyzed according to the intention-to-treat principle in a randomized controlled trial. Different statistical approaches including generalized linear models, a radial basis function (RBF) network, exhausted CHAID, classification and regression trees (CART), and C5.0 with adaptive boosting were applied. Results: The RBF network implicated that the therapy arm and the baseline values of the WOMAC Index subscales might be the most important variables for the significant between-group differences of the WOMAC Index from baseline to 12 weeks in favor of Ayurveda. The intake of nutritional supplements in the Ayurveda group did not seem to be a significant factor in changes in the WOMAC Index. Ayurveda patients with functional limitations > 60 points and pain > 25 points at baseline showed the greatest improvements in the WOMAC Index from baseline to 12 weeks (mean value 107.8 ± 27.4). A C5.0 model with nine predictors had a predictive accuracy of 89.4% for a change in the WOMAC Index after 12 weeks > 10. With adaptive boosting, the accuracy rose to 98%. Conclusions: These secondary analyses suggested that therapeutic effects cannot be explained by the therapies themselves alone, although they were the most important factors in the applied models. |
| first_indexed | 2024-03-10T01:12:12Z |
| format | Article |
| id | doaj.art-6701a98782774a9e8a51351d8ddac3b9 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T01:12:12Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-6701a98782774a9e8a51351d8ddac3b92023-11-23T14:15:55ZengMDPI AGJournal of Clinical Medicine2077-03832022-05-011111304710.3390/jcm11113047Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled TrialChristian S. Kessler0Michael Jeitler1Kartar S. Dhiman2Abhimanyu Kumar3Thomas Ostermann4Shivenarain Gupta5Antonio Morandi6Martin Mittwede7Elmar Stapelfeldt8Michaela Spoo9Katja Icke10Andreas Michalsen11Claudia M. Witt12Manfred B. Wischnewsky13Institute of Social Medicine, Epidemiology and Health Economics, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, GermanyInstitute of Social Medicine, Epidemiology and Health Economics, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, GermanyFaculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, IndiaDr. Sarvepalli Radhakrishnan Rajasthan Ayurved University, Jodhpur 342037, IndiaDepartment of Psychology and Psychotherapy, University of Witten Herdecke, 58455 Witten, GermanyEuropean Academy of Ayurveda, 95018 Birstein, GermanyAyurvedic Point, School of Ayurvedic Medicine, 20149 Milan, ItalyEuropean Academy of Ayurveda, 95018 Birstein, GermanyDepartment for Complementary and Integrative Medicine, Immanuel Hospital Berlin, 14109 Berlin, GermanyDepartment for Complementary and Integrative Medicine, Immanuel Hospital Berlin, 14109 Berlin, GermanyInstitute of Social Medicine, Epidemiology and Health Economics, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, GermanyInstitute of Social Medicine, Epidemiology and Health Economics, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, GermanyInstitute of Social Medicine, Epidemiology and Health Economics, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, GermanyDepartment of Mathematics and Computer Science, University of Bremen, 28359 Bremen, GermanyBackground: Ayurveda is widely practiced in South Asia in the treatment of osteoarthritis (OA). The aim of these secondary data analyses were to identify the most relevant variables for treatment response and group differences between Ayurvedic therapy compared to conventional therapy in knee OA patients. Methods: A total of 151 patients (Ayurveda <i>n</i> = 77, conventional care <i>n</i> = 74) were analyzed according to the intention-to-treat principle in a randomized controlled trial. Different statistical approaches including generalized linear models, a radial basis function (RBF) network, exhausted CHAID, classification and regression trees (CART), and C5.0 with adaptive boosting were applied. Results: The RBF network implicated that the therapy arm and the baseline values of the WOMAC Index subscales might be the most important variables for the significant between-group differences of the WOMAC Index from baseline to 12 weeks in favor of Ayurveda. The intake of nutritional supplements in the Ayurveda group did not seem to be a significant factor in changes in the WOMAC Index. Ayurveda patients with functional limitations > 60 points and pain > 25 points at baseline showed the greatest improvements in the WOMAC Index from baseline to 12 weeks (mean value 107.8 ± 27.4). A C5.0 model with nine predictors had a predictive accuracy of 89.4% for a change in the WOMAC Index after 12 weeks > 10. With adaptive boosting, the accuracy rose to 98%. Conclusions: These secondary analyses suggested that therapeutic effects cannot be explained by the therapies themselves alone, although they were the most important factors in the applied models.https://www.mdpi.com/2077-0383/11/11/3047Ayurvedatraditional Indian medicineknee osteoarthritiscomplementary medicineintegrative medicine |
| spellingShingle | Christian S. Kessler Michael Jeitler Kartar S. Dhiman Abhimanyu Kumar Thomas Ostermann Shivenarain Gupta Antonio Morandi Martin Mittwede Elmar Stapelfeldt Michaela Spoo Katja Icke Andreas Michalsen Claudia M. Witt Manfred B. Wischnewsky Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled Trial Journal of Clinical Medicine Ayurveda traditional Indian medicine knee osteoarthritis complementary medicine integrative medicine |
| title | Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled Trial |
| title_full | Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled Trial |
| title_fullStr | Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled Trial |
| title_full_unstemmed | Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled Trial |
| title_short | Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled Trial |
| title_sort | ayurveda in knee osteoarthritis secondary analyses of a randomized controlled trial |
| topic | Ayurveda traditional Indian medicine knee osteoarthritis complementary medicine integrative medicine |
| url | https://www.mdpi.com/2077-0383/11/11/3047 |
| work_keys_str_mv | AT christianskessler ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT michaeljeitler ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT kartarsdhiman ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT abhimanyukumar ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT thomasostermann ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT shivenaraingupta ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT antoniomorandi ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT martinmittwede ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT elmarstapelfeldt ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT michaelaspoo ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT katjaicke ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT andreasmichalsen ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT claudiamwitt ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial AT manfredbwischnewsky ayurvedainkneeosteoarthritissecondaryanalysesofarandomizedcontrolledtrial |