Smokovski, Ivica (2019) National eHealth System in Republic of North Macedonia - Platform for Preventive, Predictive and Personalized Metabolic Control in diabetes patients. In: EPMA World Congress 2019.
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Abstract
The National eHealth System (NeHS), as a Platform for Preventive, Predictive and Personalized metabolic control, covering the total population of Republic of North Macedonia - estimated to have the third highest diabetes prevalence in Europe - was analyzed for metabolic control parameters (HbA1c, BMI, Total Cholesterol (TC), LDL Cholesterol, Triglycerides (TG), Systolic (SBP) and Diastolic Blood Pressure (DBP)) in insulin-treated diabetes patients, with 01-May-2017 as a cut-off date. From the total of 37,011 insulin-treated diabetes patients in the country, 16.8% were identified as having data in their Electronic Healthcare Records for any of the metabolic parameters. Majority of those patients (62.2%) were identified with inadequate glycemic control (HbA1c>7%); and 85.8% were overweight or obese (BMI>25 kg/m2). Furthermore, majority of patients were with inadequate lipid control (53.8% with TC>5 mmol/l, 67.0% with LDL>2.6 mmol/l, 59.1% with TG>1.7 mmol/l), whereas most of the patients were with adequate blood pressure control (22.0% with SBP>140 mmHg and 6.2% with DBP>90 mmHg). These were the first results of metabolic control in insulin-treated diabetes patients derived from NeHS, suggesting a need for improvement of glycemic, weight and lipid control. Monitoring of metabolic control at national and individual level through NeHS confirms its value as a platform for prediction of diabetes related cardiovascular risk - primary cause for morbidity and mortality in these patients. In addition, it is a valuable platform for prevention of microvascular diabetes complications, and for enabling personalized metabolic control at an individual level for every citizen with diabetes in the country.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Subjects: | Medical and Health Sciences > Clinical medicine |
| Divisions: | Faculty of Medical Science |
| Depositing User: | Ivica Smokovski |
| Date Deposited: | 08 Jun 2020 07:36 |
| Last Modified: | 08 Jun 2020 07:36 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/24102 |
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