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Cardio-renal-metabolic disease in primary care setting
Mahmoud Ibrahim1, Ebtesam M Ba-Essa2, Jason Baker3
1EDC, Centre for Diabetes Education, Charlotte, North Carolina, USA.
Primary care providers now have advanced tools to manage type 2 diabetes (T2DM) and its complications. Newer medications and technologies like continuous glucose monitoring (CGM) improve patient outcomes and reduce risks.
Area of Science:
- Endocrinology
- Primary Care Medicine
- Cardiovascular Disease Management
Background:
- Primary care settings offer expanded therapeutic options for obesity, diabetes, and associated renal and cardiac conditions.
- Recognizing diabetes heterogeneity is crucial for effective treatment strategies.
- Newer hyperglycemic treatments offer mortality and macrovascular benefits beyond glucose control.
Purpose of the Study:
- To review the latest tools and treatments for managing type 2 diabetes (T2DM) in primary care.
- To provide recommendations for the optimal use of novel medications, including SGLT2 inhibitors and GLP-1 receptor agonists.
- To highlight the role of technology in improving diabetes care and predicting complications.
Main Methods:
- Review of current literature on T2DM management in primary care.
- Analysis of the benefits and applications of new pharmacotherapies (SGLT2i, GLP1RA).
- Evaluation of technological advancements such as continuous glucose monitoring (CGM) and predictive algorithms.
Main Results:
- Newer medications (SGLT2i, GLP1RA) demonstrate significant benefits in reducing mortality, macrovascular complications, and heart failure.
- Continuous glucose monitoring (CGM) improves glycemic control (HbA1c) and reduces hypoglycemia.
- Predictive algorithms show potential for risk stratification but require further refinement.
Conclusions:
- Primary care providers are equipped with effective strategies to manage T2DM and its complications.
- Optimal utilization of SGLT2 inhibitors and GLP-1 receptor agonists is recommended, even in early T2DM stages.
- Technological integration, including CGM and predictive analytics, enhances diabetes care quality and patient outcomes.
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