AN INDEGENOUS APPROACH TO MANAGE THE JANU SANDHIGATA VATA (OSTEOARTHRITIS OF KNEE JOINT)BY OSTEOCARE RASAYANA COMPOUND AND KNEE TRACTION
Journal: INTERNATIONAL JOURNAL OF APPLIED AYURVED RESEARCH(IJAAR) (Vol.1, No. 01)Publication Date: 2013-11-08
Authors : Baslingappa .k; Nagendra mani Dwivedi; Jitendra kumar Bhattacharjya; Vineet Jain; H.K Kushwaha;
Page : 1-7
Keywords : Janu sandhi gata vata; Osteo arthritis; Osteocare rasayana compound;
Abstract
Janu sandhi gata vata is degenerative disease of the old age affecting both sexes with feminine predominance and weight bearing joints. Doshas have been described as samavayi karana of diseases in which vata has been suppose most powerful and causing maximum number Nanatmaja Rogas .Normal condition of vata may be supposed as sensory and motor controller including the various organs for their functions. This normalcy altered when men get old age or vata gets vitiated by its prakopa karanas, if gets accumulated in the Janu sandhi causes Janu sandhi gata vata. The complete remedy for this disease is still not available in modern medicine, by keeping in view a comparative clinical study was done on 30 patients , devided into 3 groups using combined formulations named as Osteocare rasayana compound orally with 10 patients (groupA) ,10 patients with only knee traction (groupB), 10 patients with Osteocare rasayana compound and knee traction(group C) and the kalka of shigru,Eranda and Nirgundi mixed with sarshapa taila has been applied to all patients it was found that Osteocare rasayana compound and knee traction showed effective results
Other Latest Articles
- Design of Six Pulse Bridge Multiplication Converter Model for Current Harmonic Elimination of Three Phase AC-DC Converter
- Use of the Analytic Hierarchy Process Technique for Land-use Analysis
- A SWOT Analysis of Collaborative Strategies between Engineering Universities and Industry in Pakistan
- Consumer Preferences for Selection of Solar Home Systems in Urban Areas of Pakistan
- Study on LBS for Characterization and Analysis of Big Data Benchmarks
Last modified: 2016-01-20 23:06:11