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Randomized Controlled Trial
. 2011 Nov-Dec;25(6):362-7.
doi: 10.1016/j.jdiacomp.2011.04.001. Epub 2011 Jul 19.

Relationship of glycemia control to lipid and blood pressure lowering and atherosclerosis: the SANDS experience

Mihriye Mete  1 , Charlton Wilson, Elisa T Lee, Angela Silverman, Marie Russell, Mario Stylianou, Jason G Umans, Wenyu Wang, Wm J Howard, Robert E Ratner, Barbara V Howard, Jerome L Fleg
Affiliations
Randomized Controlled Trial

Relationship of glycemia control to lipid and blood pressure lowering and atherosclerosis: the SANDS experience

Mihriye Mete et al. J Diabetes Complications. 2011 Nov-Dec.

Abstract

Objectives: Cardiovascular disease prevention for patients with type 2 diabetes is accomplished through hypertension and dyslipidemia management. Although studies have established strategies for lowering low-density lipoprotein cholesterol (LDL-C) and blood pressure (BP), none have examined whether glycemia influences ability to achieve lipid and BP targets. This post hoc analysis from the Stop Atherosclerosis in Native Diabetics Study examines the role of baseline glycemia in achieving standard and aggressive targets and outcomes after 36 months.

Methods: Diabetic individuals aged > 40 years with no cardiovascular events (n = 499) were randomized to aggressive versus standard targets for LDL-C, non-high-density lipoprotein cholesterol (non-HDL-C) and systolic BP (SBP). Management algorithms were used for both groups. Carotid ultrasound and echocardiography were performed at baseline and after 36 months.

Results: No differences were observed in baseline hemoglobin A1c between treatment groups nor any significant change in A1c after 36 months in either group. Baseline A1c, however, was significantly and negatively related to achieving LDL-C (P = .007), non-HDL-C (P = .03) and SBP targets (P = .007) and to changes in LDL-C (P = .007), non-HDL-C (P = .03) and SBP (P = .001) in both groups. Baseline A1c failed to predict progression of carotid intima medial thickness (CIMT) (P = .42) or left ventricular mass index (LVMI) (P = .10), nor was it related to the effects of lipid and BP lowering on CIMT and LVMI over 36 months.

Conclusions: In diabetic adults with no cardiovascular disease events, A1c was negatively associated with ability to achieve LDL-C, non-HDL-C and SBP goals but was not independently related to treatment-associated changes in CIMT or LVMI over 36 months.

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Figures

Figure 1a
Figure 1a. Percentage of SANDS participants who reached target SBP, by tertile of baseline A1c and treatment group
Note: chi-square test for trend (standard group: p =.02; aggressive group: p = .09).
Figure 1b
Figure 1b. Percentage of SANDS participants who reached target LDL-C, by tertile of baseline A1c and treatment group
Note: chi-square test for trend (standard group: p = .002; aggressive group: p = .007).
Figure 1c
Figure 1c. Percentage of SANDS participants who reached target non-HDL-C, by tertile of baseline A1c and treatment group
Note: chi-square test for trend (standard group: p = .002; aggressive group: p = .004).
See this image and copyright information in PMC

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