Use of Diabetes Registry Data for Comparing Indices of Diabetes Management: A Comparison of 2 Urban Sites in Canada and Colombia
Autor: | Stewart B. Harris, Selam Mequanint, Jim Esler, Pablo Aschner |
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Rok vydání: | 2015 |
Předmět: |
Blood Glucose
Male Gerontology Cross-sectional study Endocrinology Diabetes and Metabolism Type 2 diabetes Colombia Body Mass Index chemistry.chemical_compound Endocrinology Diabetes management Diabetes mellitus Internal Medicine Humans Medicine Registries Glycemic Glycated Hemoglobin Ontario business.industry Disease Management Type 2 Diabetes Mellitus General Medicine Middle Aged medicine.disease Cross-Sectional Studies Diabetes Mellitus Type 2 chemistry Data Interpretation Statistical Female Glycated hemoglobin business Body mass index Demography |
Zdroj: | Canadian Journal of Diabetes. 39:496-501 |
ISSN: | 1499-2671 |
Popis: | To demonstrate the use of a multinational diabetes registry for comparing indices of diabetes management among countries with differing levels of income, healthcare systems and ethnic backgrounds.A cross-sectional study was conducted among 1742 people with type 2 diabetes attending diabetes clinics in London, Ontario, Canada, and Bogota, Colombia. The data were extracted from the Global Registry and Surveillance System for Diabetes (GRAND).Canadian patients were diagnosed with diabetes at significantly younger ages than Colombian patients (49 years and 53 years, respectively) and were heavier (body mass indices of 33 and 28, respectively). The Colombian patient population had significantly higher mean glycated hemoglobin (A1C) levels (9.4% vs. 8.6%) and fewer patients (22% vs. 26%) at the glycemic target (A1C7.0%) than Canadian patients. In Colombia, 1 or more diabetes-related complications were present in 51% of the study population compared with 37% in Canada. Newly diagnosed Colombians had higher mean A1C levels (9.1% vs. 8.7%) and low-density lipoprotein-C levels (3.3 mmol/L vs. 2.5 mmol/L) than did newly diagnosed Canadians.A multination diabetes registry collecting standardized data facilitates transnational comparison of diabetes clinical parameters for the purpose of identifying potential gaps in care. |
Databáze: | OpenAIRE |
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