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Diabetes Care Algorithms Overview
Aug 24, 2024
Diabetes Care Algorithms for Antihyperglycemic Therapy
Introduction
Diabetes care organizations develop algorithms for antihyperglycemic therapy to aid physicians.
Based on the 2018 American Diabetes Association (ADA) algorithm.
Provides tools for creating individualized patient treatment plans.
Available in printable and interactive formats.
Algorithm Organization
Organized by A1C results.
Four main therapy categories:
Monotherapy
Dual Therapy
Triple Therapy
Combination Injection Therapy
Key Features
Basic information on drug classifications.
Includes lifestyle management alongside pharmaceutical suggestions.
Reevaluation every three months based on efficacy.
Treatment adjustments based on patient evaluations.
Monotherapy
Suitable for:
Individuals under 60 years.
Pre-diabetes patients.
BMI > 35.
History of Gestational Diabetes Mellitus (GDM).
First line therapy if A1C < 9%.
Considerations:
General efficacy.
Risk of hypoglycemia.
Impact on weight and side effects.
Treatment cost.
Lifestyle and capacity for lifestyle changes.
Dual Therapy
Recommended for A1C ≥ 9% but < 10%.
Involves:
Lifestyle management.
Metformin plus an additional agent.
Possible secondary agents:
SGLT2 Inhibitors
GLP-1 Agonists
DPP-4 Inhibitors
TZDs
Second generation Sulfonylureas
Insulin
Patient factors critical for agent selection.
Encourage adherence by understanding patient lifestyle.
Triple Therapy
Consider when A1C not at target after 3 months of mono- or dual therapy.
Add a second additional agent.
Assess medication adherence and review recent medical history.
Understand patient lifestyle and adherence.
Combination Injection Therapy
Consider when:
A1C ≥ 10%.
Blood glucose ≥ 300 mg/dL.
Symptoms of hyperglycemia.
Address patient concerns about injectables.
Discuss pros/cons and offer support for adjustment.
Guidelines for initiation, adjustment, and managing hypoglycemia risk.
Conclusion
Explore the interactive algorithm for more detailed insights on agents and current research.
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