A long-term quality-of-care score for predicting the occurrence of macrovascular diseases in patients with type 2 diabetes mellitus

Diabetes Research and Clinical Practice
Pi-I LiHow-Ran Guo

Abstract

The aim of this study was to develop a long-term quality-of-care score to predict the occurrence of macrovascular diseases in patients with type 2 diabetes mellitus, on the basis of the hypothesis that good quality of care can reduce the risk of macrovascular complications. Using Taiwan's Longitudinal Cohort of Diabetes Patients Database and the medical records in a medical center, we identified the incident patients diagnosed with type 2 diabetes during 1999-2003 and followed them until 2011. A summary score (from 0 to 8) was calculated according to process indicators (frequencies of HbA1c and lipid profile testing and urine, foot and retinal examinations), intermediate outcome indicators (low-density lipoprotein, blood pressure and HbA1c), and the co-morbidity of hypertension. We used Cox regression models to evaluate the association between the score and the incidence of macrovascular complications. Of the 4275 patients enrolled, 1928 developed macrovascular complication events after a mean follow-up period of 8.2 years. Compared to the risk of developing a macrovascular disease event in patients with scores ≤1, the risk was 64% lower in those with quality-of-care scores ≥5 (adjusted hazard ratio = 0.36; 95% confidence inter...Continue Reading

Citations

Oct 31, 2019·Molecular Genetics & Genomic Medicine·Yanzi MengGuijun Qin
Sep 29, 2018·Cardiovascular Diabetology·Chia-Ter ChaoUNKNOWN COhort of GEriatric Nephrology in NTUH (COGENT) study group
Dec 18, 2019·Pharmacological Reviews·Jhana O HendrickxStuart Maudsley
Mar 4, 2020·Archives of Gerontology and Geriatrics·Ming-Yueh ChouLiang-Kung Chen

❮ Previous
Next ❯

Related Concepts

Related Feeds

CV Disorders & Type 2 Diabetes

This feed focuses on the association of cardiovascular diseases in patients with type 2 diabetes.

Biomarkers for Type 2 Diabetes

Biomarkers can help understand chronic diseases and assist in risk prediction for prevention and early detection of diseases. Here is the latest research on biomarkers in type 2 diabetes, a disease in which the body is unable to produce or properly use insulin.