ANALYSIS OF ANONYMIZED DATA OF GLYCEMIC PROFILES IN DIABETIC PATIENTS SERVED IN A PRIVATE LABORATORY IN FLORIANO

Abstract

Diabetes mellitus (DM) is a chronic condition characterized by elevated blood glucose levels, resulting from insufficient insulin production or resistance to its action. The growing prevalence of diabetes in recent decades, as reported by the World Health Organization, makes strict glycemic control essential to prevent complications such as cardiovascular diseases, neuropathies, and kidney problems. The diagnosis and monitoring of the disease are performed through tests such as fasting blood glucose, oral glucose tolerance test (OGTT), and hemoglobin A1c (HbA1c), all of which are crucial for effective management. Advances in technology have led to the development of continuous glucose monitoring (CGM) devices, enabling more accurate disease control. This study conducted a static observational analysis of the glycemic profiles of diabetes patients, using anonymized data to ensure individual privacy. The research involved patients from a clinical laboratory in the municipality of Floriano, Piauí, and analyzed data related to fasting blood glucose, HbA1c, and OGTT. The results indicated that a significant portion of patients had inadequate glycemic control, especially among males and individuals over 60 years old. Metformin was identified as the most commonly used medication, reflecting its effectiveness in controlling type 2 diabetes. The use of technologies such as CGM proved to be crucial for more precise interventions. The study emphasizes the importance of individualized treatments and continuous monitoring to improve diabetes management and the patients' quality of life.