Riyaz Abidi Poster PDF

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Overcoming Obesity Through Glucagon-Like Peptide 1 (GLP-1) Receptor Co-Agonist Drugs Riyaz Abidi Dr. Syed W. Rizvi, MD Evaluate the efficacy of GLP-1 on obesity Co-Agonist drugs through a retrospective study Understand the effects of GLP-1 Co- Agonist Drugs on weight/BMI Educate the populace on obesity, and find solutions like using GLP-1 Co- Agonist drugs to put an end to obesity In 2013 the American Medical Association classified Obesity (grossly fat/overweight by the 85th-95 th BMI percentile) as a disease According to CDC 78.6 million Americans are Obese – 70.7% adults (ages 20+) and 46.6% children (ages 2- 19) GLP-1 Co-Agonist Drugs control Glucose levels and storage in the body and increase metabolism Collect data on existing patients currently on GLP-1 Co-Agonists EMR Software Export, and organize data in a spreadsheet - run SPSS Correlations Analyze the data Some patients were lost in the study because not all data was recorded for them The mean and median for the BMI were shown to be lower after the use of GLP-1 Co-Agonists There is a strong positive correlation between the BMI before and the BMI after the use of GLP-1 Co- Agonists Evaluations performed were distributed to better understand the use of GLP-1 Co- Agonist drugs for obese patients Presentations by Pharmaceutical representatives and physicians are held to evaluate data and formulate recommendations to patients on the usage of the GLP-1 Co-Agonists Educate the populace on obesity as a serious disease and its adverse effects Ensure people understand the benefits of GLP-1 Co-Agonists Promote GLP-1 Co-Agonists as a solution to overcome Obesity Create balanced nutritional diet charts and exercise schedules for targeted populations struggling with Obesity Conduct more research to help promote the usage of GLP-1 Co-Agonist In Collaboration With: Special thank you to: Dr. Syed W. Rizvi, MD- Endocrinologist Sakina Rizvi, Assistant Representative UN Professor Ann Marie Hill Purpose Methodology Evaluation Acknowledgments Recommendations Outcomes Significance Planning Collect Data Organization Analysis

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OvercomingObesityThroughGlucagon-LikePeptide1(GLP-1)ReceptorCo-AgonistDrugs

Riyaz AbidiDr.SyedW.Rizvi,MD

• Evaluate the efficacy of GLP-1 on obesity Co-Agonist drugs through a retrospective study

• Understand the effects of GLP-1 Co-Agonist Drugs on weight/BMI

• Educate the populace on obesity, and find solutions like using GLP-1 Co-Agonist drugs to put an end to obesity

• In 2013 the American Medical Association classified Obesity (grossly fat/overweight by the 85th-95th BMI percentile) as a disease

• According to CDC 78.6 million Americans are Obese – 70.7% adults (ages 20+) and 46.6% children (ages 2-19)

• GLP-1 Co-Agonist Drugs control Glucose levels and storage in the body and increase metabolism

• Collect data on existing patients currently on GLP-1 Co-Agonists EMR Software

• Export, and organize data in a spreadsheet - run SPSS Correlations

• Analyze the data

• Some patients were lost in the study because not all data was recorded for them

• The mean and median for the BMI were shown to be lower after the use of GLP-1 Co-Agonists

• There is a strong positive correlation between the BMI before and the BMI after the use of GLP-1 Co-Agonists

• Evaluations performed were distributed to better understand the use of GLP-1 Co-Agonist drugs for obese patients

• Presentations by Pharmaceutical representatives and physicians are held to evaluate data and formulate recommendations to patients on the usage of the GLP-1 Co-Agonists

• Educate the populace on obesity as a serious disease and its adverse effects

• Ensure people understand the benefits of GLP-1 Co-Agonists

• Promote GLP-1 Co-Agonists as a solution to overcome Obesity

• Create balanced nutritional diet charts and exercise schedules for targeted populations struggling with Obesity

• Conduct more research to help promote the usage of GLP-1 Co-Agonist

In Collaboration With:

Special thank you to:

Dr. Syed W. Rizvi, MD- Endocrinologist

Sakina Rizvi, Assistant Representative UN

Professor Ann Marie Hill

Purpose

Methodology EvaluationAcknowledgments

RecommendationsOutcomes

Significance

PlanningCollectData

Organization Analysis