Ashwagandha (Withania somnifera) and Shunthi (Zingiber officinale) in mild and moderate COVID-19: An open-label randomized controlled exploratory trial.

BACKGROUND: Ayurveda interventions have been used for prophylaxis and care during the COVID-19 pandemic in India and have shown promising results in promoting early clinical recovery from COVID-19. OBJECTIVE: To assess the efficacy and safety of Ashwagandha [Withania somnifera (L.) Dunal] tablet and Shunthi (Zingiber officinale Roscoe) capsule in mild and moderate COVID-19 compared to conventional standard care. METHODS: A randomized controlled exploratory trial was conducted at a designated COVID-19 care center in India with 60 participants having mild or moderate COVID-19. Ashwagandha, two tablets (250 mg each), and Shunthi, two capsules (500 mg each) twice daily for 15 days, were given orally to the participants in the Ayurveda group (AG) and the control group (CG) received conventional standard care. The outcome measures included clinical recovery rate, the proportion of participants with negative RT-PCR assay for COVID-19 on day 7 and day 15, mean time to attain clinical recovery, change in pro-inflammatory markers, serum IgG for COVID-19, HRCT chest findings, disease progression and incidence of adverse events (AE). RESULTS: A total of 60 participants were enrolled, and the data of 48 participants (AG = 25 and CG = 23) were considered for the statistical analysis. The mean time for clinical recovery was reduced by almost 50 % in the AG (6.9 days) compared to CG (13.0 days) (p < 0.001). The proportion of participants who attained viral clearance in AG was 76.0 % compared to 60.8 % in the CG (RR= 1.24, 95 % CI: 0.841, 1.851, p-value = 0.270). Changes in the pro-inflammatory markers, serum IgG for COVID-19, and HRCT chest findings were comparable in both groups, and no AE or disease progression was reported. CONCLUSIONS: The Ayurveda interventions, Ashwagandha and Shunthi, can effectively reduce the duration of clinical recovery and improve time for viral clearance in mild and moderate COVID-19. These interventions were observed to be safe and well-tolerated during the duration of the trial. TRIAL REGISTRATION: Clinical Trial Registry of India - CTRI/2020/08/027224.

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 patients. Methods: A total of 151 patients (Ayurveda n = 77, conventional care n = 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.

AYUSH-64 as an add-on to standard care in asymptomatic and mild cases of COVID-19: A randomized controlled trial.

BACKGROUND: The evidence on the efficacy and safety of Ayurveda interventions as an add-on to the standard conventional care for coronavirus disease-2019 (COVID-19) is limited. AIM AND OBJECTIVE: This study was planned to explore the potential of AYUSH-64 as an add-on to conventional care in improving the clinical recovery and negative reverse transcription-polymerase chain reaction (RT-PCR) conversion in asymptomatic and mild COVID-19 cases. MATERIALS AND METHODS: An open-label randomized controlled study was conducted at Government Medical College, Nagpur, Maharashtra, India, with a sample size of 60 participants. In this study, asymptomatic or mild COVID-19 patients were randomized and allocated into intervention and control groups (CG) in a 1:1 ratio. AYUSH-64 two capsules (500 mg each) were administered thrice daily, after food with water for 30 days along with standard care in the intervention group (IG), while the CG received only standard care. The primary outcome was the proportion of participants who turned RT-PCR negative for COVID-19 at 7th, 15th, 22nd and 30th days. Secondary outcomes were the proportion of participants who attained clinical recovery at 7th, 15th, 22nd and 30th days, change in laboratory parameters on the 30th day and incidence of adverse drug reactions/adverse events. The data were compared within group using paired sample t-test/Wilcoxon signed-rank test and between group using independent sample t-test/Mann-Whitney test. RESULTS: Statistically significant difference was not observed in the proportion of participants who turned RT-PCR negative during each of the follow-ups (P = 0.134) and both groups demonstrated comparable efficacy. The clinical recovery in terms of complete relief in symptoms in the symptomatic participants was 60% and 37% on day 15 (P = 0.098) and 100% and 85.2% on day 30 (P = 0.112) in the intervention and CG, respectively. The improvement in the inflammatory markers such as interleukin (IL)-6, tumor necrosis factor-α (TNF-α), and D-dimer was statistically significant (P < 0.05) in the IG, whereas in the CG, it was statistically significant for D-dimer only. None of the participants developed any complications nor were any significant ADR/AE observed in the groups. CONCLUSIONS: In patients with asymptomatic and mild COVID-19, AYUSH-64, as add-on to standard conventional care, contributed to improved clinical recovery and demonstrated potential in reducing the levels of pro-inflammatory markers such as IL-6 and TNF-α. Further, both the groups demonstrated comparable efficacy regarding negative RT-PCR for COVID-19.

Reliability of Ayurvedic Diagnosis for Knee Osteoarthritis Patients: A Nested Diagnostic Study Within a Randomized Controlled Trial.

Background: Ayurveda is a traditional Indian system of medicine. The customized Ayurvedic approach consists of a combination of several diagnostic procedures and subsequent individualized therapeutic interventions. Evaluation of inter-rater reliability (IRR) of Ayurvedic diagnoses has rarely been performed. The aim of this study was to evaluate IRR of Ayurvedic diagnosis for patients with knee osteoarthritis. Methods: A diagnostic reliability study of 30 patients and 4 Ayurvedic experts was nested in a randomized controlled trial. Patients were diagnosed in a sequential order by all experts utilizing a semistructured patient history form. A nominal group technique as consensus procedure was performed to reach agreement on the items to be diagnosed. An IRR analysis using Fleiss' and Cohen's kappa statistics was performed to determine a chance-corrected measure of agreement among raters. Results: One hundred and twenty different ratings and 30 consensus ratings were performed and analyzed. While high percentages of agreement for main diagnostic entities and the final Ayurveda diagnosis (95% consensus agreement on main diagnosis) could be observed, this was not reflected in the corresponding kappa values, which largely yielded fair-to-poor inter-rater agreement kappas for central diagnostic aspects such as prakriti and agni (κ values between 0 and 0.4). Notably, agreement on disease-related entities was better than that on constitutional entities. Conclusions: This is the first diagnostic study embedded in a clinical trial on patients with knee osteoarthritis utilizing a multimodality whole systems approach. Results showed a contrast between the high agreement of the consented final diagnosis and disagreement on certain diagnostic details. Future diagnostic studies should have larger sample sizes and a methodology more tailored to the specificities of traditional whole systems of medicine. Equal emphasis will need to be placed on all core diagnostic components of Ayurveda, both constitutional and disease specific, using detailed structured history taking forms.