Real-World Systolic and Diastolic Blood Pressure Levels and Cardiovascular Mortality in Patients with Type 2 Diabetes - Results from a Large Registry Cohort in Asia.
Loraine Liping SengTroy Hai Kiat PuarYong Mong BeeTazeen Hasan JafarPublished in: Journal of the American Heart Association (2023)
Background Elevated blood pressure (BP) is associated with increased risk of cardiovascular mortality. However, there is ongoing debate whether intensive BP lowering may paradoxically increase the risk of cardiovascular disease (CVD) especially in patients with type 2 diabetes mellitus (T2DM). We investigated the association of BP with risk of CVD mortality in patients with T2DM. Methods and Results We used data on 83,721 patients with T2DM from a multi-institutional diabetes registry in Singapore from 2013 to 2019. BP was analyzed as categories and restricted cubic splines using cox multivariable regression analysis stratified by pre-existing CVD and age (< 65 years vs ≥ 65 years). The primary outcome was CVD mortality, determined via linkage with national registry. Among 83,721 patients with T2DM (mean age 65.3 years, 50.6% women, 78.9% on antihypertensive medications), 7.6 per 1000 person-years experienced the primary outcome. SBP had a graded relationship with a significant increase in CVD mortality at levels higher than 120-129 mm Hg. DBP levels above 90 mm Hg were significantly associated with CVD mortality in those aged ≥ 65 years. In addition, DBP less than 70 mm Hg was associated with a significantly higher risk of CVD mortality in all patients. Conclusions In patients with T2DM, clinic SBP levels ≥130 mm Hg or DBP levels ≥ 90 mm Hg are associated with higher risk of CVD mortality. DBP < 70 mm Hg is also associated with risk of adverse CVD outcomes although reverse causality cannot be ruled out.
Keyphrases
- blood pressure
- cardiovascular events
- cardiovascular disease
- type diabetes
- risk factors
- fluorescent probe
- left ventricular
- glycemic control
- heart failure
- ejection fraction
- end stage renal disease
- primary care
- machine learning
- adipose tissue
- living cells
- metabolic syndrome
- aqueous solution
- newly diagnosed
- chronic kidney disease
- mass spectrometry
- single molecule
- pregnant women
- polycystic ovary syndrome
- peritoneal dialysis
- adverse drug
- data analysis
- breast cancer risk