Atherosclerosis · 2011
Visit-to-visit variability in systolic blood pressure is correlated with diabetic nephropathy and atherosclerosis in patients with type 2 diabetes.
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Okada Hiroshi, Fukui Michiaki, Tanaka Muhei, Inada Shinobu, Mineoka Yusuke, Nakanishi Naoko, Senmaru Takafumi, Sakabe Kazumi, Ushigome Emi, Asano Mai, Yamazaki Masahiro, Hasegawa Goji, Nakamura Naoto
Аннотация
OBJECTIVE: Recent studies make remarks on the effect of variability in systolic blood pressure (SBP) on the development of cardiovascular disease. The aim of this study was to investigate the relationship between the variability in SBP and the degree of diabetic nephropathy and atherosclerosis in patients with type 2 diabetes.
METHODS: We measured SBP in 422 consecutive patients with type 2 diabetes at every visit during a year, and we calculated the coefficient of variation (CV) of SBP. Then, we evaluated relationships of variability of SBP to degree of urinary albumin excretion (UAE), which is a useful marker for cardiovascular disease as well as diabetic nephropathy, ankle-brachial index (ABI) and pulse wave velocity (PWV).
RESULTS: CV of SBP positively correlated with logUAE (r=0.210, P<0.0001) or PWV (r=0.409, P<0.0001), whereas CV of SBP inversely correlated with ABI (r=-0.098, P=0.0463). Multiple regression analysis demonstrated that CV of SBP independently correlated with logUAE (β=0.149, P=0.0072), PWV (β=0.337, P<0.0001) or ABI (β=-0.162, P=0.0101).
CONCLUSIONS: Not only average SBP but also variability in SBP is correlated with diabetic nephropathy and atherosclerosis in patients with type 2 diabetes.
METHODS: We measured SBP in 422 consecutive patients with type 2 diabetes at every visit during a year, and we calculated the coefficient of variation (CV) of SBP. Then, we evaluated relationships of variability of SBP to degree of urinary albumin excretion (UAE), which is a useful marker for cardiovascular disease as well as diabetic nephropathy, ankle-brachial index (ABI) and pulse wave velocity (PWV).
RESULTS: CV of SBP positively correlated with logUAE (r=0.210, P<0.0001) or PWV (r=0.409, P<0.0001), whereas CV of SBP inversely correlated with ABI (r=-0.098, P=0.0463). Multiple regression analysis demonstrated that CV of SBP independently correlated with logUAE (β=0.149, P=0.0072), PWV (β=0.337, P<0.0001) or ABI (β=-0.162, P=0.0101).
CONCLUSIONS: Not only average SBP but also variability in SBP is correlated with diabetic nephropathy and atherosclerosis in patients with type 2 diabetes.
Предметные рубрики MeSH
AgedAlbuminuriaAnkle Brachial IndexAtherosclerosisBlood PressureCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic AngiopathiesDiabetic NephropathiesFemaleHumansJapanMaleMiddle AgedOffice VisitsPredictive Value of TestsPulsatile FlowRisk AssessmentRisk FactorsSeverity of Illness IndexTime Factors