Pulse pressure predicts incident cardiovascular disease but not diabetic nephropathy in patients with type 1 diabetes (The FinnDiane Study)

Diabetes Care. 2011 Apr;34(4):886-91. doi: 10.2337/dc10-2013. Epub 2011 Feb 17.

Abstract

Objective: Pulse pressure (PP), an estimate of arterial stiffness, has been shown to be associated with incident cardiovascular disease (CVD) in patients with type 1 diabetes (T1D). However, diabetic kidney disease, a strong predictor of CVD, was not previously taken into account. Furthermore, the role of PP as a predictor of diabetic nephropathy is not known. Therefore, we prospectively investigated the associations between PP and these diabetes complications in patients with T1D.

Research design and methods: A total of 4,509 patients from the FinnDiane Study participated. Follow-up data on incident CVD events and renal status (median 5.3 years) were available in 69 and 76% of the patients, respectively. Altogether, 269 patients (8.6%) had an incident CVD event and 370 patients (10.8%) progressed to a higher level of albuminuria or to end-stage renal disease.

Results: PP was higher at baseline in patients who experienced a CVD event (66 ± 18 vs. 52 ± 14 mmHg; P < 0.001) or progressed in their renal status (58 ± 18 vs. 54 ± 15 mmHg; P < 0.01) during follow-up. In a Cox regression model, PP was independently associated with a first ever CVD event (hazard ratio per 10 mmHg 1.22 [95% CI 1.10-1.34]) but not progression of renal disease (1.00 [0.89-1.12]) after adjustments for traditional risk factors.

Conclusions: PP, a marker of arterial stiffness, is a risk factor for cardiovascular complications but not for diabetic nephropathy in patients with T1D.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Blood Pressure / physiology*
  • Cardiovascular Diseases / epidemiology*
  • Cardiovascular Diseases / physiopathology*
  • Diabetes Mellitus, Type 1 / physiopathology*
  • Diabetic Nephropathies / epidemiology*
  • Diabetic Nephropathies / physiopathology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Risk Factors