Pre prameha risk score model design

Summary of article contents:

Introduction: Ayurveda being a traditional health system of India define its contribution by implementation of prevention aspect and adding Quality of life (QOL) in a Diabetic/ Prameha patient. Several diabetes risk score or risk engines have been developed since the last decade. In India various studies have been done on Indian Diabetes Risk Score developed by Dr. V. Mohan. For a more prolific picture of Prameha as per previous researches done at renowned research institutions in India and knowing the risk factors involved in its pathogenesis, there arises a need of introduction of Pre Prameha Risk Score Model based on scientific guidelines. A practical tool is needed to predict prameha risk. Aims and objectives: To identify and investigate the relation of those various risk factors found and their percentage of relevance in prameha risk subjects, to distinguish between the modifiable and nonmodifiable risk factors so that proper interventions can be made timely for effective management later on. Materials and Methods : Total 776-research works reported on prameha were screened from different departments throughout the colleges all over India. Duplicated data was removed (127) and out of that 649 thesis, a metaanalysis of 85 thesis of MD/ PhD scholars from different departments of National Institute of Jaipur was done for the present study. Results: After the statistical analysis sharirika prakriti, manasika prakriti, Sthaulya, family history, vaya, vayayama, predominance of rasa came out to be effective risk factors contributing to 6.20%,10.04%,4.52%,5.3%,7.9%,4.92% of the study causing prameha . A Scorecard of 122 points was developed indicating the severity of factors. If the score is more than half i.e 61 points and above, patient considerably falls in highrisk category. Conclusion: It is recommended to refer the scorecard to predetermine the risk of prameha in the population with the application of this tool INTERNATIONAL AYURVEDIC MEDICAL JOURNAL International Ayurvedic Medical Journal, ( ISSN: 2320 5091) (June, 2017) 5(6) PRE PRAMEHA RISK SCORE MODEL DESIGN Shweta Dewan 1 , B. C Arya 2 , Baldev Kumar 3 , Sonali 4 1 Ph.D Scholar, Department of Basic Principles, National Institute of Ayurveda, Jaipur, Rajasthan,India 2 Associate Professor, B. P. S, Mahila Ayurveda University, Khanpur Kalan, Sonepat, Haryana, India 3 Director, AYUSH, Govt. of Haryana, Associate Professor, Department of Basic Principles, NationalInstitute of Ayurveda, Jaipur, Rajasthan, India 4 Assistant Professor, Department of Dravya Guna, LBS Ayurveda Medical College, Bilaspur,Chattisgarh, India Email: arorau 51@yahoo.com ABSTRACT Introduction: Ayurveda being a traditional health system of India define its contribution by implementation of prevention aspect and adding Quality of life (QOL) in a Diabetic/ Prameha patient. Several diabetes risk score or risk engines have been developed since the last decade. In India various studies have been done on Indian Diabetes Risk Score developed by Dr. V. Mohan. For a more prolific picture of Prameha as per previous researches done at renowned research institutions in India and knowing the risk factors involved in its pathogenesis, there arises a need of introduction of Pre Prameha Risk Score Model based on scientific guidelines. A practical tool is needed to predict prameha risk. Aims and objectives: To identify and investigate the relation of those various risk factors found and their percentage of relevance in prameha risk subjects, to distinguish between the modifiable and nonmodifiable risk factors so that proper interventions can be made timely for effective management later on. Materials and Methods : Total 776-research works reported on prameha were screened from different departments throughout the colleges all over India. Duplicated data was removed (127) and out of that 649 thesis, a metaanalysis of 85 thesis of MD/ PhD scholars from different departments of National Institute of Jaipur was done for the present study. Results: After the statistical analysis sharirika prakriti, manasika prakriti, Sthaulya, family history, vaya, vayayama, predominance of rasa came out to be effective risk factors contributing to 6.20%,10.04%,4.52%,5.3%,7.9%,4.92% of the study causing prameha . A Scorecard of 122 points was developed indicating the severity of factors. If the score is more than half i.e 61 points and above, patient considerably falls in highrisk category. Conclusion: It is recommended to refer the scorecard to predetermine the risk of prameha in the population with the application of this tool INTERNATIONAL AYURVEDIC MEDICAL JOURNAL International Ayurvedic Medical Journal, ( ISSN: 2320 5091) (June, 2017) 5(6) PRE PRAMEHA RISK SCORE MODEL DESIGN Shweta Dewan 1 , B. C Arya 2 , Baldev Kumar 3 , Sonali 4 1 Ph.D Scholar, Department of Basic Principles, National Institute of Ayurveda, Jaipur, Rajasthan,India 2 Associate Professor, B. P. S, Mahila Ayurveda University, Khanpur Kalan, Sonepat, Haryana, India 3 Director, AYUSH, Govt. of Haryana, Associate Professor, Department of Basic Principles, NationalInstitute of Ayurveda, Jaipur, Rajasthan, India 4 Assistant Professor, Department of Dravya Guna, LBS Ayurveda Medical College, Bilaspur,Chattisgarh, India Email: arorau 51@yahoo.com ABSTRACT Introduction: Ayurveda being a traditional health system of India define its contribution by implementation of prevention aspect and adding Quality of life (QOL) in a Diabetic/ Prameha patient. Several diabetes risk score or risk engines have been developed since the last decade. In India various studies have been done on Indian Diabetes Risk Score developed by Dr. V. Mohan. For a more prolific picture of Prameha as per previous researches done at renowned research institutions in India and knowing the risk factors involved in its pathogenesis, there arises a need of introduction of Pre Prameha Risk Score Model based on scientific guidelines. A practical tool is needed to predict prameha risk. Aims and objectives: To identify and investigate the relation of those various risk factors found and their percentage of relevance in prameha risk subjects, to distinguish between the modifiable and nonmodifiable risk factors so that proper interventions can be made timely for effective management later on. Materials and Methods : Total 776-research works reported on prameha were screened from different departments throughout the colleges all over India. Duplicated data was removed (127) and out of that 649 thesis, a metaanalysis of 85 thesis of MD/ PhD scholars from different departments of National Institute of Jaipur was done for the present study. Results: After the statistical analysis sharirika prakriti, manasika prakriti, Sthaulya, family history, vaya, vayayama, predominance of rasa came out to be effective risk factors contributing to 6.20%,10.04%,4.52%,5.3%,7.9%,4.92% of the study causing prameha . A Scorecard of 122 points was developed indicating the severity of factors. If the score is more than half i.e 61 points and above, patient considerably falls in highrisk category. Conclusion: It is recommended to refer the scorecard to predetermine the risk of prameha in the population with the application of this tool INTERNATIONAL AYURVEDIC MEDICAL JOURNAL Shweta Dewan Et Al: Pre Prameha Risk Score Model Design IAMJ: JUNE, 2017 2068 Keywords: Prameha , Score, Risk, metaanalysis INTRODUCTION WHO reported in year