Diabetes and peripheral arterial disease in men: trends in prevalence, mortality, and effect of concomitant coronary disease

Clin Cardiol. 2009 Aug;32(8):442-6. doi: 10.1002/clc.20564.


Background: Recent data on trends in diabetes mellitus (DM) prevalence and long-term effect on mortality in peripheral arterial disease (PAD) subjects is lacking.

Methods: All subjects discharged from any VA medical center between October 1990 to September 1997 with an International Classification of Diseases (ICD)-9 code for PAD and DM in the discharge summary were retrospectively identified. Demographic data were extracted from the database. Mortality data were obtained from the Beneficiary Information and Resource Locator. Outcome measures were age specific DM prevalence over time, and short-term and long-term mortality.

Results: Of 33, 629 patients with PAD, 9474 (29%) had DM. Diabetes mellitus subjects were less likely to be white and had more comorbidities. Mean length of hospital stay was greater for DM (22.3 d vs 18.7 days, P < 0.001). Mortality was higher for DM at 180 days (9.8% vs 8.4%, P < 0.001), 1 year (16.4% vs 13.7%, P < 0.001), and continues to increase at 8 years of follow-up. Logistic regression analysis showed no interaction between DM and coronary artery disease (CAD).

Conclusions: Diabetes mellitus increases all-cause mortality in subjects with PAD starting at 6 months post-discharge and continues to be higher even at 8 years of follow-up. There was a lack of interaction of DM and CAD on mortality in this cohort of subjects with PAD.

MeSH terms

  • Age Factors
  • Aged
  • Comorbidity
  • Coronary Artery Disease / mortality*
  • Databases as Topic
  • Diabetes Mellitus / mortality*
  • Female
  • Hospitals, Veterans / trends
  • Humans
  • Kaplan-Meier Estimate
  • Length of Stay / trends
  • Logistic Models
  • Male
  • Middle Aged
  • Patient Discharge / trends
  • Peripheral Vascular Diseases / mortality*
  • Prevalence
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Sex Factors
  • Time Factors
  • United States / epidemiology