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Understanding Ayurveda Disease Conditions and Treatment Responses

Prediction of Ayurveda Prakriti and Vikriti Using Automatic Questionnaire and Digital Sensors

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06167226
Enrollment
497
Registered
2023-12-12
Start date
2021-12-29
Completion date
2023-03-31
Last updated
2023-12-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastric Ulcer, Neurodegenerative Diseases, Osteo Arthritis Knee, Rheumatoid Arthritis, Skin Diseases, Type2diabetes

Brief summary

The goal of this observational study is to assess Prakriti & Vikriti in patients visiting OPD of IIISM department, SRM hospital. The main question\[s\] it aims to answer are: * To evaluate Prakriti & Vikriti of patients using Prakriti & Vikriti questionnaire and with digital devices * To correlate the determined Prakriti and Vikriti with the doctor's assessment along with clinical and biochemical parameters Participants will be advised to follow the treating physician's advice on medicines

Detailed description

The Ayurveda is an ancient documented medical system originated in India. The Ayurveda stratified humans into 7 broad categories based on the phenotype features viz. Vata, Pitta, Kapha, Vatapitta, Vatakapha, Kaphapitta and Vatapittakapha Prakriti types. Also, the features of the disease conditions are clearly described based on the predominance of Vata, Pitta and Kapha or its combinations. Presently, the identification of Prakriti type and Vikriti status are basically subjective assessment. This study proposes to integrate the subjective assessment with objective digital signal parameters. This digital signatures would be useful in ML / AI based assessment and prediction of Prakriti type and Vikriti status of the patients.

Interventions

DRUGPersonalized Ayurveda treatment protocol

The treating physician decided and advised personalized Ayurveda treatment protocol based on disease and patient's condition

Sponsors

SRM Medical College Hospital & Research Centre
CollaboratorUNKNOWN
Ayurai Private Limited
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Patients of various diseases visiting the OPD

Exclusion criteria

* Pregnancy and lactating females

Design outcomes

Primary

MeasureTime frameDescription
Change from baseline in Complete blood count at 12 week12 weekscomplete blood count, which includes red blood cell count, neutrophil count, eosinophil count, basophil count, lymphocyte count, monocyte count, and platelet count is a standard investigation to measure the abnormality in blood cells
Serum Urea12 weeksMeasures urea, which is a investigation to measure the abnormality in kidney function
Serum creatinine12 weeksMeasures creatinine, which is a investigation to measure the abnormality in kidney function
Lipid Profile12 weeksLipid profile test includes Total cholesterol, LDL, HDL, Triglycerides, and non-HDL is a investigation to measure the abnormality in lipids
Cytokines (TNF- alpha, IFN-gamma, IL-1, IL-4, IL-6, IL-10)12 weeksCytokines are inflammatory markers, measured to identify treatment effect in inflammation

Secondary

MeasureTime frameDescription
Pulse Plethysmography signals (PPG) - Finger PPG sensor12 weeksPPG is measured to identify pulse wave form changes before and after treatment

Countries

India

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026