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Coadministration of AYUSH 64 as an adjunct to Standard of Care in mild and moderate COVID-19: A randomised, controlled, multicentric clinical trial

TL;DR: In this article, the authors compared the co-administration of an Ayurvedic drug AYUSH 64 as an adjunct to standard of care (SOC) and SOC for efficacy and safety in the management of COVID-19.
Abstract: ObjectivesTo compare the co-administration of an Ayurvedic drug AYUSH 64 as an adjunct to standard of care (SOC) and SOC for efficacy and safety in the management of COVID-19. DesignMulticentre, parallel efficacy, randomized, controlled, open label, assessor blind, exploratory trial with a convenience sample. Patients followed to complete 12 weeks of study duration. SettingCOVID-19 dedicated non-intensive care wards at 1 government hospital, 1 medical college teaching hospital and 1 medical university teaching hospital Participants140 consenting, eligible, hospitalized adult patients suffering from mild and moderate symptomatic COVID-19 and confirmed by a diagnostic (SARS-CoV-2) RT-PCR assay on nasal and throat swab were randomized to SOC or SOC plus AYUSH 64. To be withdrawn if disease becomes severe. InterventionsTwo tablets of AYUSH 64, 500 mg each, twice daily after meals, and continued till study completion. SOC (symptomatic and supportive) as per national guidelines of India for mild and moderate disease. Main outcome measuresTime period to clinical recovery (CR) from randomization baseline and proportion with CR within 28 days time frame; CR defined in the protocol Results140 patients randomized (70 in each arm); 138 patients with CR qualified for analysis. Both groups were matched at baseline. The mean time to CR from randomization was significantly superior in AYUSH 64 group (95% CI -3.03 to 0.59 days); a higher proportion (69.7%) in the first week (p=0.046, Chi-square). No significant differences observed for COVID-19 related blood assays (such as D-Dimer). AYUSH 64 arm showed significant (p<0.05) superior persistent improvement in general health, quality of life, fatigue, anxiety, stress, sleep and other psychosocial metrics. 1 patient on SOC required critical care. 48 adverse events (AE) reported in each group. Barring three SAE (in SOC), AE were mild and none were drug related. 22 participants (8 on AYUSH) were withdrawn. No deaths were reported. ConclusionsAYUSH 64 hastened recovery, reduced hospitalization and improved overall health in mild and moderate COVID-19 when co-administered with SOC under medical supervision. It was safe and well tolerated. Further studies are warranted. Trial registrationThe Clinical Trials Registry India Number CTRI/2020/06/025557 FundingCCRAS, Ministry of AYUSH, Government of India

Summary (4 min read)

INTRODUCTION

  • The world continues to reel under the tragic burden of the COVID-19 pandemic.
  • Several drug trials were completed and many more are underway to unravel the evidence-based medicine (EBM) for more effective and safe management (1).
  • The treatment of mild- moderate COVID-19 remains empirical, symptomatic and supportive (2, 3).
  • The search to repurpose drugs (COVID-19) also rekindled vigorous research in the traditional, complementary and alternative systems of medicine (TCAM) (8,9).
  • Based on Ayurvedic logic and clinical experience, AYUSH-64 was considered for repurpose therapeutic use in COVID-19.

METHODS

  • This was a prospective, randomized, open label (assessor blind), two arm multicentre study with an exploratory research design and was planned and carried out during the COVID-19 pandemic (May-Nov 2020).
  • The study was carried out in accordance with the principles of Good Clinical Practice (GCP), Declaration of Helsinki (Brazil update 2013), ICMR (Indian Council of Medical Research) and MoA/CCRAS Guidelines (2018) (23, 24).
  • The protocol and the study report also complied with CONSORT guidelines (25).
  • The study was monitored by an independent data safety monitoring board and a monitoring committee appointed by the sponsor.
  • The overall scheme of the study, study procedures and predetermined time points of evaluation are shown in Fig 1.

Patients

  • Voluntary hospitalized patients suffering from mild and moderate symptomatic COVID-19 were selected and after signing informed consent were screened for eligibility.
  • Patients were jointly examined throughout the study by a modern medicine and Ayurveda physician (study investigator).
  • All patients were managed for COVID-19 by an attending physician designated by the hospital at study site and who remained blinded to the treatment allocation in the trial (assessor blind).
  • Adult patients with a typical clinical phenotype of COVID-19 illness and a laboratory confirmation test for SARS-CoV-2 (RT-PCR on a nasal and/or throat swab) were selected.
  • Full details of the inclusion and exclusion criteria can be accessed in the protocol registered at CTRI website (26).

Trial Procedures

  • Patients at each site were randomized to a SOC arm or AYUSH 64 (investigational product) along with SOC (AYUSH plus) in 1:1 ratio on a first come first serve basis.
  • A central randomization schedule was prepared by a biostatistician (SS) using a standard statistical software and in blocks of 20 participant each.
  • The randomized blocks were provided online with restricted access only to the principal investigator at each site as per the allotted sample size.

Standard of care

  • All patients were begun on SOC soon after hospital admission as per the clinical judgement of the attending hospital physician.
  • The concomitant use of hydroxychloroquine, azithromycin, corticosteroids, antibiotics, ivermectin, zinc, vitamin C, antiplatelet agents was as per the national guidelines of India but there were some local instructions as well (3).
  • All patients were closely monitored on a daily basis as per standard COVID-19 protocol and which included respiration and peripheral arterial oxygen saturation, body temperature and blood pressure (3).

Investigational drug

  • Each 500 mg tablet of AYUSH 64 contained aqueous extracts (100 mg each) of Alstonia scholaris (bark), Picrorhiza kurroa , Swertia chirata (whole plant) and Caesalpinia crista (200 mg seed powder).
  • AYUSH 64 was procured from Indian Medicines Pharmaceutical Corporation Limited , Uttarakhand, India under arrangements with CCRAS, New Delhi.
  • Each question was answered on a 100 mm horizontal visual analogue scale (VAS) which was anchored at either end (0 and 100 mm) for the worst or best outcomes.
  • A comprehensive description of WHO QOL BREF (Text Box S2.1) and HR-BHF questionnaire including pre-study validation (Text Box S2.2, Text box S 2.3) is provided in the Supplementary File S2.
  • Data was collected on a daily basis till discharge from the hospital following clinical recovery.

Outcome measures

  • The primary efficacy measure was (i) the mean duration (days) from baseline randomization to day one of clinical recovery (CR) (ii) Proportion of patients showing clinical recovery within a time framework of 28 days.
  • There were several secondary efficacy measures pertaining to (i) time lines such as mean duration from onset of symptoms to CR, mean duration from hospitalization to CR (ii) COVID19 related blood assay biomarkers such as C-reactive protein (CRP), D-Dimer, Ferritin, interleukin-6.

Study Withdrawals

  • Patients worsening clinically and requiring prolonged oxygen and/or intensive care was withdrawn from the study and continued routine management in the hospital.
  • All patients who were withdrawn were thoroughly questioned and evaluated to determine the reason for withdrawal.
  • Patients were permitted to withdraw without assigning any reason.

Statistical Analysis

  • A convenience study sample of 140 participants was finalized by AC and SS and considered adequate to address the study research questions.
  • The data were analysed for central tendencies (mean, median), range, standard error, standard deviation and 95% confidence interval (95% CI).
  • Statistical tests were carried out to compare treatment groups as per the distribution Student’s T test , Mann-Whitney statistic (non-parametric), Chi-square statistic , ANOVA.
  • Both intent-to-treat and per protocol completer analysis were performed when appropriate.
  • The study arm of ‘AYUSH 64 plus SOC’ is referred to as ‘AYUSH plus’ and ‘SOC alone’ is referred to as ‘SOC’ in the current paper.

RESULTS

  • Total 140 patients were randomized with 70 patients in each of the two study arms.
  • Fig 2 shows the patient disposition and withdrawals.
  • One patient in the SOC worsened and was withdrawn; recovered after intensive medical care.
  • 138 patients completed treatment as per protocol.
  • None of the patients withdrawn reported a drug related AE.

Randomization Baseline

  • Both the study groups were well matched for several demographic, clinical and laboratory variables as shown in Table 1.
  • Most participants were men in the age range 30 -55 years.
  • COVID-19 was classified mild in 80% participants.
  • The study arms were well matched for several timelines at randomization baseline such as’ onset of symptom to hospital admission’ (-1.34 to 1.72),’ hospital admission to randomization’ (-0.17 to 0.39) and ‘symptom onset to randomization’ (-1.08 to 1.98); 95% CI of the difference between the group means (days) shown in parenthesis (Table 1).
  • Skiagram of chest was reported (by radiologist) normal in 47% patients, mild abnormalities in 51% patients and moderate abnormalities in 2% patients in the AYUSH plus; correspondingly 46%, 41% and 13% in the SOC.

Efficacy

  • Four participants started AYUSH 64 after 36 hours of randomization and were excluded from the primary efficacy analysis; addition of their data did not materially change the outcome (data not shown).
  • The latter improvement was observed at each of the study site.
  • None of the patients with radiological abnormalities complained of fever, persistent cough or breathlessness during the post hospital discharge follow up.
  • There were no clinical diagnosed post-COVID lung complications diagnosed on study completion; skiagrams for several patients were reported normal.
  • In comparison to SOC, AYUSH 64 plus showed significant improvement in several domains (physical health, psychological health, social relationship and environmental well-being) in the WHO QOL BREF and the total HR-BHF score on clinical recovery and during pre-determined follow up evaluations (Table 4).

DISCUSSION

  • This study compared a combination regimen of AYUSH 64 and SOC (AYUSH plus) with SOC to treat patients suffering from mild and moderate COVID-19 and admitted in the hospital.139 of the 140 randomized patients achieved complete recovery.
  • The current AYUSH 64 drug trial needs to be viewed against this perspective.
  • It needs to be medically supervised and patients suitably counselled as was done in the current study.
  • Mild and moderate cases may develop post COVID-19 complications (34).
  • A similar reduction in the length of hospital stay was reported in a meta-analysis of controlled drug trials of coadministration of Chinese herbal medicine with conventional western medicine in COVID-19 (95 % CI of the mean difference was -3.28 to -0.70 days) (8).

Strengths and Limitations

  • The current study repurposed a standardized Ayurvedic polyherbal formulation in popular Ayurveda practise for over three decades to improve the efficacy of SOC treatment in COVID-19.
  • Importantly, patients showed persistent improvement in physical and mental health and quality of life.
  • None of the patients in AYUSH plus arm worsened and there were no deaths in the study cohort.
  • The authors believe that the current study has boldly addressed the need for evidence-based medicine to treat mild and moderate COVID-19.
  • Several limitations were imposed by the chaotic and tragic pandemic situation.

Other Studies

  • Several drug trials using Ayurveda and other CAM therapies in COVID-19 were registered in the clinical trial registry of India but a few are published (36, 46).
  • The latter studies required MAB intervention within 24-48 hours of the illness onset and a firm diagnosis.
  • This and several other restrictions described in the drug trial studies are likely to complicate widespread acceptance and clinical use, and more so in settings such as ours with several limitation in socioeconomics and medical care (49,50).
  • The recent data on the use of repurposed and adjuvant drugs in hospital patients with COVID-19 did not make any mention of herbal drugs or other CAM therapies (51).
  • It is likely that the use of Ayurveda and other CAM therapies such as AYUSH 64, both in the hospital and community setting, was several folds more and the authors need more suitable data (18).

Future Research

  • AYUSH 64 needs to be evaluated in a suitable designed phase III drug trial.
  • The latter study should also evaluate the likely role of AYUSH 64 to block progression to severe disease and reduce post COVID-19 complications.
  • Experimental evidence is required to validate its anti-viral and salubrious effect on health and QOL.

CONCLUSION

  • In a randomized controlled prospective study of hospitalized patients suffering from mild and moderate COVID-19, AYUSH 64 (a standardized polyherbal Ayurveda drug) was shown to be a significantly effective and safe adjunct to SOC.
  • It hastened clinical recovery, reduced hospitalization period and showed early persistent substantial benefit towards physical and mental health.

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Figures (7)

Content maybe subject to copyright    Report

1
Coadministration of AYUSH 64 as an adjunct to Standard of Care in mild
and moderate COVID-19: A randomised, controlled, multicentric clinical trial
Arvind Chopra
1
, Girish Tillu
2
, Kuldeep Chuadhary
3
,
Govind Reddy
4
, Alok Srivastava
5
, Muffazal
Lakdawala
6
, Dilip Gode
7
, Himanshu Reddy
8
, Sanjay Tamboli
9
, Manjit Saluja
1
, Sanjeev
Sarmukkaddam
1
, Manohar Gundeti
3
, Ashwinikumar Raut
10
, BCS Rao
11
, Babita Yadav
11
,
Narayanam Srikanth
11
, Bhushan Patwardhan
2
Authors’ affiliation
1. Centre for Rheumatic Diseases, Pune, India
2. Interdisciplinary School of Health Sciences, Savitribai Phule Pune University, Pune, India
3. Central Ayurveda Research Institute, Mumbai, India
4. Regional Ayurveda Research Institute, Nagpur, India
5. Regional Ayurveda Research Institute, Lucknow, India
6. H.N. Reliance Foundation Hospital and Research Centre, Mumbai, India
7. Datta Meghe Institute of Medical Sciences, Nagpur, India
8. King George's Medical University, Lucknow, India
9. Target Institute of Medical Education & Research, Mumbai, India, India
10. Medical Research Centre, Kasturba Health Society, Mumbai
11. Central Council for Research in Ayurvedic Sciences, New Delhi, India
Funding Statement: This study was funded by Central Council for Research in Ayurvedic
Sciences, Ministry of Ayush, Government of India.
Competing interests:
None of the authors have any financial conflict of interest regarding this
study. The authors Kuldeep Chuadhary, Alok Srivastava, Govind Reddy, Manohar Gundeti, BCS
Rao, Babita Yadav, Narayanam Srikanth work in Central Council for Research in Ayurvedic
Sciences (CCRAS), Ministry of AYUSH (MoA), Government of India (GOI), New Delhi. Dr
Ashwinikumar Raut was a consultant for the study. Dr Sanjay Tamoli was involved as a CRO.
AYUSH-64 is a proprietary formulation of CCRAS.
Contact Address:
Arvind Chopra, MD
Director and Chief Rheumatologist,
Centre for Rheumatic Diseases, Pune, India 411001
Telephone: +91 20 26345624, (M) 9822039297, Email: crdp5624@gmail.com
Key Words: COVID-19, Standard of Care, Ayurveda, Ayurvedic medicine, Herbal drugs,
Adjuvant therapy
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 17, 2021. ; https://doi.org/10.1101/2021.06.12.21258345doi: medRxiv preprint
NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.

2
ABSTRACT
Objectives: To compare the co-administration of an Ayurvedic drug AYUSH 64 as an adjunct to
standard of care (SOC) and SOC for efficacy and safety in the management of COVID-19.
Design: Multicentre, parallel efficacy, randomized, controlled, open label, assessor blind,
exploratory trial with a convenience sample. Patients followed to complete 12 weeks of study
duration.
Setting: COVID-19 dedicated non-intensive care wards at 1 government hospital, 1 medical
college teaching hospital and 1 medical university teaching hospital
Participants: 140 consenting, eligible, hospitalized adult patients suffering from mild and
moderate symptomatic COVID-19 and confirmed by a diagnostic (SARS-CoV-2) RT-PCR assay
on nasal and throat swab were randomized to SOC or SOC plus AYUSH 64. To be withdrawn if
disease becomes severe.
Interventions: Two tablets of AYUSH 64, 500 mg each, twice daily after meals, and continued
till study completion. SOC (symptomatic and supportive) as per national guidelines of India for
mild and moderate disease.
Main outcome measures: Time period to clinical recovery (CR) from randomization baseline
and proportion with CR within 28 days time frame; CR defined in the protocol
Results: 140 patients randomized (70 in each arm); 138 patients with CR qualified for analysis.
Both groups were matched at baseline. The mean time to CR from randomization was
significantly superior in AYUSH 64 group (95% CI -3.03 to 0.59 days); a higher proportion
(69.7%) in the first week (p=0.046, Chi-square). No significant differences observed for COVID-
19 related blood assays (such as D-Dimer). AYUSH 64 arm showed significant (p<0.05)
superior persistent improvement in general health, quality of life, fatigue, anxiety, stress, sleep
and other psychosocial metrics. 1 patient on SOC required critical care. 48 adverse events (AE)
reported in each group. Barring three SAE (in SOC), AE were mild and none were drug related.
22 participants (8 on AYUSH) were withdrawn. No deaths were reported.
Conclusions: AYUSH 64 hastened recovery, reduced hospitalization and improved overall
health in mild and moderate COVID-19 when co-administered with SOC under medical
supervision. It was safe and well tolerated. Further studies are warranted.
Trial registration: The Clinical Trials Registry India Number CTRI/2020/06/025557
Funding: CCRAS, Ministry of AYUSH, Government of India
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 17, 2021. ; https://doi.org/10.1101/2021.06.12.21258345doi: medRxiv preprint

3
INTRODUCTION
The world continues to reel under the tragic burden of the COVID-19 pandemic. The medical
system has been precariously overstretched and scarred. Several drug trials were completed and
many more are underway to unravel the evidence-based medicine (EBM) for more effective and
safe management (1). However, the treatment of mild- moderate COVID-19 remains empirical,
symptomatic and supportive (2, 3).
Several drugs were repurposed and extensively used for chemoprophylaxis and treatment of
COVID-19 (7). However, drugs such as hydroxychloroquine fell into disrepute because of lack
of clinical evidence (4). Despite limited evidence but based on good clinical experience, some
drugs such as tocilizumab continue to be used (5). Steroids became a pivotal treatment following
the result of a single large controlled drug trial (6).
The search to repurpose drugs (COVID-19) also rekindled vigorous research in the traditional,
complementary and alternative systems of medicine (TCAM) (8,9). TCAM and herbal medicines
in particular can be considered based on available data and clinical experience (10,11). It is now
known that the exuberant and dysregulated immune response in COVID-19 leads to life
threatening complications. Several medicinal plants from Ayurveda and traditional Chinese
medicines which are known to modulate immune response were considered as potential
therapeutic candidates (8, 12, 13, 14). Ayurvedic and other traditional herbal medicines are being
popularly used in India to prevent and treat COVID-19 since the beginning of the pandemic (15,
16, 17,18). Safety and tolerability of Ayurvedic herbal medicines could be an added advantage
for use in the community (19).
India has legal system to regulate and promote plural systems of medicine including Ayurveda,
Yoga, Naturopathy, Unani, Siddha, Sowa Rigpa and Homoeopathy, and together are known as
AYUSH systems. The Ministry of AYUSH (MoA) has established an Interdisciplinary AYUSH
Research and Development Task Force on COVID-19 to promote scientific research (20, 21).
Based on Ayurvedic logic and clinical experience, AYUSH-64 was considered for repurpose
therapeutic use in COVID-19. It is a standard proprietary poly-herbal formulation of Central
Council for Research in Ayurvedic Sciences (CCRAS) which was first developed in 1980 for the
treatment of Malaria (22). The current study aims to evaluate AYUSH 64 as an adjunct to
standard care in the treatment of COVID-19.
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 17, 2021. ; https://doi.org/10.1101/2021.06.12.21258345doi: medRxiv preprint

4
METHODS
This was a prospective, randomized, open label (assessor blind), two arm multicentre study with
an exploratory research design and was planned and carried out during the COVID-19 pandemic
(May-Nov 2020). The duration of study was 12 weeks. The study was carried out in the COVID-
19 dedicated non-intensive wards in the medical and teaching hospitals at King George Medical
University, Lucknow, Central Ayurveda Research Institute for Cancer, Mumbai and Datta
Meghe Institute of Medical Sciences, Nagpur. The study was carried out in accordance with the
principles of Good Clinical Practice (GCP), Declaration of Helsinki (Brazil update 2013), ICMR
(Indian Council of Medical Research) and MoA/CCRAS Guidelines (2018) (23, 24). The
protocol and the study report also complied with CONSORT guidelines (25). The protocol was
approved by the Institutional Ethics Committee at each study site and registered in the Clinical
Trials Registry of India (CTRI) (registration number CTRI/2020/06/025557) prior to patient
enrolment (26). The study was monitored by an independent data safety monitoring board and a
monitoring committee appointed by the sponsor. The overall scheme of the study, study
procedures and predetermined time points of evaluation are shown in Fig 1.
Patients
Voluntary hospitalized patients suffering from mild and moderate symptomatic COVID-19 were
selected and after signing informed consent were screened for eligibility. Patients were jointly
examined throughout the study by a modern medicine and Ayurveda physician (study
investigator). All patients were managed for COVID-19 by an attending physician designated by
the hospital at study site and who remained blinded to the treatment allocation in the trial
(assessor blind). Patients and study personnel were aware of the treatment allocation (open
label).
Adult patients with a typical clinical phenotype of COVID-19 illness and a laboratory
confirmation test for SARS-CoV-2 (RT-PCR on a nasal and/or throat swab) were selected.
Patients with severe symptomatic COVID-19 were excluded after fulfilling at least two criteria
(i) respiratory distress at room ambience (ii) Oxygen saturation (SpO
2
) at rest
93% (iii) known
COVID-19 complication. Full details of the inclusion and exclusion criteria can be accessed in
the protocol registered at CTRI website (26).
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 17, 2021. ; https://doi.org/10.1101/2021.06.12.21258345doi: medRxiv preprint

5
Figure 1: Study Flow diagram showing Study Events and Timelines: A randomized controlled
study to evaluate the co-administration of AYUSH 64 with Standard of Care in COVID-19
Trial Procedures
Patients at each site were randomized to a SOC arm or AYUSH 64 (investigational product)
along with SOC (AYUSH plus) in 1:1 ratio on a first come first serve basis. A central
randomization schedule was prepared by a biostatistician (SS) using a standard statistical
Discharge
Baseline
Clinical Assessment
Diagnostic (RT-PCR), Routine
Haematology Profile, Special COVID-19
Assays, X-Ray Chest & Imaging, ECG
Randomize Eligible Patients
Screening of Consenting hospitalized patients suffering from Mild to Moderate COVID-19 for
Eligibility as per Inclusion-Exclusion Criteria
Medical History, Clinical Examination,
Ayurveda Assessment, Health Status
Time Points
Investigations
Week 4
Clinical Examination, Ayurveda
Assessment, Health Status, Adverse
Events
Routine Haematology Body Profile,
Special COVID-19 Assays
Week 8
Clinical Examination, Ayurveda
Assessment, Health Status, Adverse
Events
Routine Haematology Body Profile,
Special COVID-19 Assays
Week 12
Study Completion Assessment, Clinical
Examination, Ayurveda Assessment,
Health Status, Adverse Events
Routine Haematology Body Profile,
Special COVID-19 Assays
Assess Clinical Recovery, Ayurveda
Assessment; Health Status
Diagnostic (RT-PCR), Routine
Haematology Profile, Special Assays, X-
Ray Chest & Imaging, ECG
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 17, 2021. ; https://doi.org/10.1101/2021.06.12.21258345doi: medRxiv preprint

Citations
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Posted ContentDOI
17 Aug 2021-medRxiv
TL;DR: In this paper, the authors have withdrawn this manuscript because they found a serious issue in data-analysis which leads to wrong interpretation of the results and they do not wish this work to be cited as reference for the project.
Abstract: The authors have withdrawn this manuscript because they found a serious issue in data-analysis which leads to wrong interpretation of the results. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

3 citations

Journal ArticleDOI
TL;DR: The study findings suggest that AYUSH-64 use, either standalone or as an adjunct to standard care, in asymptomatic, mild, or moderate COVID-19 is associated with good clinical outcomes.
Abstract: Background During the second wave of the COVID-19 pandemic in India, the Ministry of Ayush conducted a community study to provide therapeutic care to patients with asymptomatic, mild, and moderate COVID-19 in home isolation based on the empirical evidence generated on the efficacy of AYUSH-64 in COVID-19. Objective To document disease characteristics, care-seeking behavior, and outcomes in patients with asymptomatic, mild, or moderate COVID-19 in home isolation who used AYUSH-64 for COVID-19. Methods Cross-sectional analysis of the data generated through a community study conducted in India from 08 May to 31 August 2021 was performed to study the disease characteristics, care-seeking behavior during home isolation, clinical outcomes, adverse events, and the association between various risk factors and clinical recovery during the study period. The data were collected through semi-structured questionnaires, available in electronic data collection format at the baseline, 7, 14, and 21 days. A logistic regression was performed to explore the relationship between relevant variables and clinical recovery. Results Data from 64,642 participants were analyzed for baseline assessment, and final analysis was done for 49,770 participants. The mean age of the enrolled participants was 38.8 ± 11.7 years, and 8.4% had co-morbidities. AYUSH-64 was utilized as an add-on to the standard care by 58.3% of participants. Comparable clinical outcomes were observed in participants utilizing AYUSH-64 either as a standalone or as an add-on to standard care, in terms of clinical recovery, disease progression, the requirement for oxygen supplementation, hospitalization, ICU admission, and need for ventilator support. Younger age, having no co-morbidities or substance abuse, and having been vaccinated were associated with early clinical recovery than those who were older and not vaccinated. Conclusions The study findings suggest that AYUSH-64 use, either standalone or as an adjunct to standard care, in asymptomatic, mild, or moderate COVID-19 is associated with good clinical outcomes. Ayush services and interventions can be effectively integrated into the mainstream public health architecture to serve public health goals.

1 citations

Journal ArticleDOI
TL;DR: In this paper , the authors used a meta-epidemiologic approach to conduct a literature search using the World Health Organization COVID-19 database and Embase to identify preprints published between January 1 and December 31, 2021.
Abstract: Importance Randomized clinical trials (RCTs) on COVID-19 are increasingly being posted as preprints before publication in a scientific, peer-reviewed journal. Objective To assess time to journal publication for COVID-19 RCT preprints and to compare differences between pairs of preprints and corresponding journal articles. Evidence Review This systematic review used a meta-epidemiologic approach to conduct a literature search using the World Health Organization COVID-19 database and Embase to identify preprints published between January 1 and December 31, 2021. This review included RCTs with human participants and research questions regarding the treatment or prevention of COVID-19. For each preprint, a literature search was done to locate the corresponding journal article. Two independent reviewers read the full text, extracted data, and assessed risk of bias using the Cochrane Risk of Bias 2 tool. Time to publication was analyzed using a Cox proportional hazards regression model. Differences between preprint and journal article pairs in terms of outcomes, analyses, results, or conclusions were described. Statistical analysis was performed on October 17, 2022. Findings This study included 152 preprints. As of October 1, 2022, 119 of 152 preprints (78.3%) had been published in journals. The median time to publication was 186 days (range, 17-407 days). In a multivariable model, larger sample size and low risk of bias were associated with journal publication. With a sample size of less than 200 as the reference, sample sizes of 201 to 1000 and greater than 1000 had hazard ratios (HRs) of 1.23 (95% CI, 0.80-1.91) and 2.19 (95% CI, 1.36-3.53) for publication, respectively. With high risk of bias as the reference, medium-risk articles with some concerns for bias had an HR of 1.77 (95% CI, 1.02-3.09); those with a low risk of bias had an HR of 3.01 (95% CI, 1.71-5.30). Of the 119 published preprints, there were differences in terms of outcomes, analyses, results, or conclusions in 65 studies (54.6%). The main conclusion in the preprint contradicted the conclusion in the journal article for 2 studies (1.7%). Conclusions and Relevance These findings suggest that there is a substantial time lag from preprint posting to journal publication. Preprints with smaller sample sizes and high risk of bias were less likely to be published. Finally, although differences in terms of outcomes, analyses, results, or conclusions were observed for preprint and journal article pairs in most studies, the main conclusion remained consistent for the majority of studies.
Journal ArticleDOI
TL;DR: In this article , the authors narrated the diverse R&D activities of the CSIR in traditional medicines and integrative health research, and how the Council of Scientific and Industrial Research along with its long standing partner, Ministry of Ayush, has been creating benchmarks in this domain.
Abstract: India's rich traditional knowledge, especially related to AYUSH and local health traditions, is invaluable and relevant for all times. To address the growing needs for systematic evaluation and evidence, the Council of Scientific and Industrial Research (CSIR) has been pursuing focused R&D efforts in the areas not just related to traditional medicines but also towards its co-optation and integration with contemporary modern sciences. Stakeholder cooperation towards deriving success in these inter-disciplinary sciences in important. The article narrates the diverse R&D activities of the CSIR in traditional medicines and integrative health research, and how the CSIR along with its long standing partner, Ministry of Ayush, has been creating benchmarks in this domain.
Journal ArticleDOI
TL;DR: The Ayurvedic medicines and formulations having antiviral, antioxidant, anti-inflammatory, and immunomodulatory properties could be used along with standard allopathic medicines to assist in the earlier clearance of virus, speedy recovery of patients with COVID-19, faster discharge from hospitals, and the prevention of further deterioration.
Abstract: BACKGROUND Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) caused Coronavirus disease 2019 (COVID-19) and the patients with COVID-19 might be managed with traditional medicine like Ayurveda alone or in combination with standard allopathic treatment as Ayurveda is one of the oldest traditional medicinal systems followed by millions around the globe. METHODS The literature was searched in databases such as LitCOVID, Google Scholar, Science Direct, EBSCO, Scopus, Web of science, EMBASE, and reference lists to identify articles relevant to the use of Ayurvedic medicines in the management of COVID-19. RESULTS Several clinical studies have determined the efficacy of Ayurvedic medicines and formulations in the management of patients with COVID-19. CONCLUSION The Ayurvedic medicines and formulations having antiviral, antioxidant, anti-inflammatory, and immunomodulatory properties could be used along with standard allopathic medicines to assist in the earlier clearance of virus, speedy recovery of patients with COVID-19, faster discharge from hospitals, and the prevention of further deterioration.
References
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Journal ArticleDOI
26 May 2020-JAMA
TL;DR: This case series provides characteristics and early outcomes of sequentially hospitalized patients with confirmed COVID-19 in the New York City area and assesses outcomes during hospitalization, such as invasive mechanical ventilation, kidney replacement therapy, and death.
Abstract: Importance There is limited information describing the presenting characteristics and outcomes of US patients requiring hospitalization for coronavirus disease 2019 (COVID-19). Objective To describe the clinical characteristics and outcomes of patients with COVID-19 hospitalized in a US health care system. Design, Setting, and Participants Case series of patients with COVID-19 admitted to 12 hospitals in New York City, Long Island, and Westchester County, New York, within the Northwell Health system. The study included all sequentially hospitalized patients between March 1, 2020, and April 4, 2020, inclusive of these dates. Exposures Confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection by positive result on polymerase chain reaction testing of a nasopharyngeal sample among patients requiring admission. Main Outcomes and Measures Clinical outcomes during hospitalization, such as invasive mechanical ventilation, kidney replacement therapy, and death. Demographics, baseline comorbidities, presenting vital signs, and test results were also collected. Results A total of 5700 patients were included (median age, 63 years [interquartile range {IQR}, 52-75; range, 0-107 years]; 39.7% female). The most common comorbidities were hypertension (3026; 56.6%), obesity (1737; 41.7%), and diabetes (1808; 33.8%). At triage, 30.7% of patients were febrile, 17.3% had a respiratory rate greater than 24 breaths/min, and 27.8% received supplemental oxygen. The rate of respiratory virus co-infection was 2.1%. Outcomes were assessed for 2634 patients who were discharged or had died at the study end point. During hospitalization, 373 patients (14.2%) (median age, 68 years [IQR, 56-78]; 33.5% female) were treated in the intensive care unit care, 320 (12.2%) received invasive mechanical ventilation, 81 (3.2%) were treated with kidney replacement therapy, and 553 (21%) died. As of April 4, 2020, for patients requiring mechanical ventilation (n = 1151, 20.2%), 38 (3.3%) were discharged alive, 282 (24.5%) died, and 831 (72.2%) remained in hospital. The median postdischarge follow-up time was 4.4 days (IQR, 2.2-9.3). A total of 45 patients (2.2%) were readmitted during the study period. The median time to readmission was 3 days (IQR, 1.0-4.5) for readmitted patients. Among the 3066 patients who remained hospitalized at the final study follow-up date (median age, 65 years [IQR, 54-75]), the median follow-up at time of censoring was 4.5 days (IQR, 2.4-8.1). Conclusions and Relevance This case series provides characteristics and early outcomes of sequentially hospitalized patients with confirmed COVID-19 in the New York City area.

7,282 citations

Journal ArticleDOI
TL;DR: In patients hospitalized with Covid-19, the use of dexamethasone resulted in lower 28-day mortality among those who were receiving either invasive mechanical ventilation or oxygen alone at randomization but not among those receiving no respiratory support.
Abstract: BackgroundCoronavirus disease 2019 (Covid-19) is associated with diffuse lung damage. Glucocorticoids may modulate inflammation-mediated lung injury and thereby reduce progression to respiratory failure and death.MethodsIn this controlled, open-label trial comparing a range of possible treatments in patients who were hospitalized with Covid-19, we randomly assigned patients to receive oral or intravenous dexamethasone (at a dose of 6 mg once daily) for up to 10 days or to receive usual care alone. The primary outcome was 28-day mortality. Here, we report the final results of this assessment.ResultsA total of 2104 patients were assigned to receive dexamethasone and 4321 to receive usual care. Overall, 482 patients (22.9%) in the dexamethasone group and 1110 patients (25.7%) in the usual care group died within 28 days after randomization (age-adjusted rate ratio, 0.83; 95% confidence interval [CI], 0.75 to 0.93; P<0.001). The proportional and absolute between-group differences in mortality varied considerably according to the level of respiratory support that the patients were receiving at the time of randomization. In the dexamethasone group, the incidence of death was lower than that in the usual care group among patients receiving invasive mechanical ventilation (29.3% vs. 41.4%; rate ratio, 0.64; 95% CI, 0.51 to 0.81) and among those receiving oxygen without invasive mechanical ventilation (23.3% vs. 26.2%; rate ratio, 0.82; 95% CI, 0.72 to 0.94) but not among those who were receiving no respiratory support at randomization (17.8% vs. 14.0%; rate ratio, 1.19; 95% CI, 0.92 to 1.55).ConclusionsIn patients hospitalized with Covid-19, the use of dexamethasone resulted in lower 28-day mortality among those who were receiving either invasive mechanical ventilation or oxygen alone at randomization but not among those receiving no respiratory support. (Funded by the Medical Research Council and National Institute for Health Research and others; RECOVERY ClinicalTrials.gov number, NCT04381936. opens in new tab; ISRCTN number, 50189673. opens in new tab.)

4,501 citations

Journal ArticleDOI
08 Jul 2020-Nature
TL;DR: A range of clinical factors associated with COVID-19-related death is quantified in one of the largest cohort studies on this topic so far and includes people of white ethnicity, Black and South Asian people were at higher risk, even after adjustment for other factors.
Abstract: Coronavirus disease 2019 (COVID-19) has rapidly affected mortality worldwide1. There is unprecedented urgency to understand who is most at risk of severe outcomes, and this requires new approaches for the timely analysis of large datasets. Working on behalf of NHS England, we created OpenSAFELY-a secure health analytics platform that covers 40% of all patients in England and holds patient data within the existing data centre of a major vendor of primary care electronic health records. Here we used OpenSAFELY to examine factors associated with COVID-19-related death. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths. COVID-19-related death was associated with: being male (hazard ratio (HR) 1.59 (95% confidence interval 1.53-1.65)); greater age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared with people of white ethnicity, Black and South Asian people were at higher risk, even after adjustment for other factors (HR 1.48 (1.29-1.69) and 1.45 (1.32-1.58), respectively). We have quantified a range of clinical factors associated with COVID-19-related death in one of the largest cohort studies on this topic so far. More patient records are rapidly being added to OpenSAFELY, we will update and extend our results regularly.

4,263 citations

Journal ArticleDOI
TL;DR: This outbreak is leading to additional health problems such as stress, anxiety, depressive symptoms, insomnia, denial, anger and fear globally, which can weaken strategies of COVID-19 control and lead to more morbidity and mental health needs at global level.
Abstract: Background:The current outbreak of COVID-19 coronavirus infection among humans in Wuhan (China) and its spreading around the globe is heavily impacting on the global health and mental health. Despi...

1,816 citations

Journal ArticleDOI
TL;DR: In this interim analysis, the REGN-COV2 antibody cocktail reduced viral load, with a greater effect in patients whose immune response had not yet been initiated or who had a high viral load at baseline.
Abstract: Background Recent data suggest that complications and death from coronavirus disease 2019 (Covid-19) may be related to high viral loads. Methods In this ongoing, double-blind, phase 1–3 tr...

1,375 citations

Related Papers (5)
Frequently Asked Questions (11)
Q1. What have the authors contributed in "Coadministration of ayush 64 as an adjunct to standard of care in mild and moderate covid-19: a randomised, controlled, multicentric clinical trial" ?

Ayurvedic drugs such as AYUSH-64 have been used in the treatment of COVID-19 pandemic this paper. 

It hastened clinical recovery, reduced hospitalization period and showed early persistent substantial benefit towards physical and mental health. 

20 patients were withdrawn during the post recovery period; two patients with nonCOVID related SAE (malaria and diabetes with severe cellulitis), 1 patient with acute onset mild polyneuropathy and later diagnosed as Guillain Barre syndrome, and 17 patients who refused to continue in the study following hospital discharge. 

The current study repurposed a standardized Ayurvedic polyherbal formulation in popular Ayurveda (India) practise for over three decades to improve the efficacy of SOC treatment in COVID-19. 

Several repurposed modern medicines (such as hydroxychloroquine and ivermectin) that were extensively used earlier in the pandemic are nolonger favoured (4, 7). 

There were several secondary efficacy measures pertaining to (i) time lines such as mean duration from onset of symptoms to CR, mean duration from hospitalization to CR (ii) COVID19 related blood assay biomarkers such as C-reactive protein (CRP), D-Dimer, Ferritin, interleukin-6. 

Patients with severe symptomatic COVID-19 were excluded after fulfilling at least two criteria (i) respiratory distress at room ambience (ii) Oxygen saturation (SpO2) at rest ≤ 93% (iii) known COVID-19 complication. 

Standard statistical software programs were used (GraphPad InStat Version 3.6 and Confidence Interval Analysis software analysis, BMJ Group, London, 2003). 

The WHO QOL-BREF had 27 questions classified into 4 domains- physical health (Q 7-35), psychological health (Q 6-30), social relationships (Q 6-15) and environmental well- being (Q 8- 40); range of score shown in parenthesis. 

24% of the study cohort had co-existent diabetes or naïve hyperglycaemia on randomization which often required adjustment in blood sugar medication (Table 1). 

Adult patients with a typical clinical phenotype of COVID-19 illness and a laboratory confirmation test for SARS-CoV-2 (RT-PCR on a nasal and/or throat swab) were selected.