Early detection of macrovascular complications in type 2 diabetes mellitus in Medan, North Sumatera, Indonesia: A cross-sectional study.
Rina AmeliaJuliandi HarahapYuki YunandaHendri WijayaIsti Ilmiati FujiatiZulham ZulhamPublished in: F1000Research (2021)
Background: Macrovascular complications occur very frequently in patients with type 2 diabetes mellitus (T2DM) with a high mortality rate, due to the development of cardiovascular disease (CVD), such as stroke, atherosclerosis acceleration, and atrial fibrillation. T2DM is a significant risk factor for CVD and has become the leading cause of death. The purpose of this study was to detect the early risk of macrovascular complications by using the ankle brachial index (ABI) as a marker. Methods: This study was an analytic study with a cross-sectional approach. The study population was patients with T2DM from several primary health care centers in Medan. In total, 89 subjects who met the inclusion and exclusion criteria were recruited with consecutive sampling. ABI was determined as the ratio of systolic blood pressure in the brachial artery to the posterior tibial artery after the subjects had been relaxed and felt comfortable in a supine position. Examination of vitamin D and lipid profile was derived from examination of venous blood. Data were processed using SPSS and analyzed with one-way ANOVA. Results: The study found that there was a relationship between LDL-C, triglyceride, and vitamin D (25OH-D) based on the ABI (p > 0.05). Conclusions: ABI can be used for an early detection of macrovascular complications. Apart from being easy to perform, ABI was non-invasive. Some other risk factors that can also be used to assess complications and have relationships with ABI were LDL-C, triglyceride, and vitamin D (25OH-D). Complications in T2DM patients can be prevented with reasonable blood sugar control and lifestyle changes. Education and motivation need to be given to patients so that they become more independent in controlling their disease and improving their quality of life.
Keyphrases
- risk factors
- cardiovascular disease
- blood pressure
- atrial fibrillation
- end stage renal disease
- chronic kidney disease
- ejection fraction
- heart failure
- healthcare
- physical activity
- left ventricular
- cardiovascular events
- big data
- heart rate
- insulin resistance
- artificial intelligence
- patient reported outcomes
- quality improvement
- total knee arthroplasty
- blood brain barrier
- mitral valve
- cerebral ischemia