ASSOCIATIONS OF HYPERGLYCEMIA AND
DYSLIPIDEMIA IN VIETNAMESE PATIENTS WITH TYPE 2 DIABETES

Tùng Nguyễn

Abstract

Type 2 diabetes is a disease of hyperglycemia due to insulin resistance which has significantly effects on serum lipids. Serum lipid abnormalities or dyslipidemia is one of the major risk factors for cardiovascular diseases in type 2 diabetes. Hyperglycemia and dyslipidemia often appear together, causing many serious complications for patients if they are not handled immediately. This thesis was carried out to investigate associations between hyperglycemia and dyslipidemias in Vietnamese patients with type 2 diabetes which may be different with those of distinct ethnics. The approach of association pattern mining has increasingly become a useful technique to conduct an analysis of interconnections between diseases and risk factors in an interpretable form. The dataset was extracted from 19,725,930 laboratory test records from 335,568 patients at the Thong Nhat hospital for three years 2016, 2017, 2018. The results revealed that the majority of discovered patterns which were classified as “established” and “less well known” medical knowledge can be directly confirmed with references to the biomedical literature PubMed. Discovered patterns were marked as “unknown” can potentially represent hypotheses and experimentation for medical research. These findings highlight applications of association pattern mining in health care and medical research.