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Background and aims Traditional glycemic markers, fasting glucose and hemoglobin A1c (HbA1c), predict incident peripheral artery disease (PAD). However, it is unknown whether nontraditional glycemic markers, fructosamine, glycated albumin, and 1,5-anhydroglucitol, are associated with PAD and whether these glycemic markers demonstrate particularly strong associations with severe PAD, critical limb ischemia (CLI). Methods We quantified the associations of these five glycemic markers with incident PAD (hospitalizations with PAD diagnosis or leg revascularization) in 11,634 ARIC participants using Cox regression models. Participants were categorized according to diabetes diagnosis and clinical cut-points of glycemic markers (nontraditional glycemic markers were categorized according to percentiles corresponding to the HbA1c cut-points). Results Over a median follow-up of 20.7 years, there were 392 cases of PAD (133 were CLI with tissue loss). HbA1c was more strongly associated with incident PAD than fasting glucose, with adjusted hazard ratios (HR) 6.00 (95% CI, 3.73–9.66) for diagnosed diabetes with HbA1c ≥ 7% and 3.53 (2.39–5.22) for no diagnosed diabetes with HbA1c ≥ 6.5% compared to no diagnosed diabetes with HbA1c <5.7%. Three nontraditional glycemic markers demonstrated risk gradients intermediate between HbA1c and fasting glucose and their risk gradients were substantially attenuated after adjusting for HbA1c. All glycemic markers consistently demonstrated stronger associations with CLI than PAD without CLI ( p for difference <0.02 for all glycemic markers). Conclusions Nontraditional glycemic markers were associated with incident PAD independent of fasting glucose but not necessarily HbA1c. Our results also support the importance of glucose metabolism in the progression to CLI. [ABSTRACT FROM AUTHOR]

Abstract: Objective: To evaluate systemic and limb ischemic event rates of PAD patients with prior leg amputation and determine predictors of adverse outcomes. Methods: The REduction of Atherothrombosis for Continued Health (REACH) Registry provided a prospective multinational cohort of 7996 outpatients with PAD enrolled from primary medical clinics in 44 countries in 2003–2004. 1160 patients (14.5%) had a prior leg amputation at any level. Systemic (myocardial infarction [MI], stroke, cardiovascular death) and limb (angioplasty, surgery, amputation) ischemic event rates were determined in a 3-year follow-up. Results: PAD patients with leg amputations on entry had a 5-fold higher rate of a subsequent amputation (12.4% vs. 2.4%, P <.001), lower rate of peripheral angioplasty (8.3% vs. 10.7%, P =.005), and similar rates of surgical revascularization procedures compared with PAD patients without amputation. A nearly 2-fold increase in rates of cardiovascular death (14.5% vs. 7.7%, P <.001) and all-cause mortality (21.8% vs. 12.6%, P <.001) and an increase in the composite outcome of MI, stroke, cardiovascular death, or hospitalization (48.7% vs. 40.0%, P <.001) were noted. Recent (≤1 year) amputation was associated with higher rates of worsening PAD, subsequent lower extremity surgical revascularization procedures, re-amputation, non-fatal MI, and the composite outcome, including hospitalization. Adverse systemic and limb ischemic outcomes were similar regardless of amputation level. Conclusions: Individuals with a history of leg amputations have markedly elevated rates of systemic and limb-related outcomes. PAD patients with recent ischemic amputation have the highest risk of adverse events. A history of “minor” ischemic amputation may confer an identical systemic risk as “major” leg amputation. [Copyright &y& Elsevier]

Abstract: Background: The clinical significance of a high ankle-brachial index (ABI), defined by the associated risk factor burden and ischemic risk, is largely unknown. Methods: Using data from the Atherosclerosis Risk in Communities Study, we categorized 14,777 participants into normal (ABI between 0.9 and 1.3) and high ABI groups (ABI>1.3, >1.4, and >1.5) and compared the risk factor profile and CVD event rates of the normal ABI group to each high ABI group. Results: The prevalence of high ABI was 5.5% for ABI>1.3, 1.2% for ABI>1.4, and 0.37% for ABI>1.5. Compared with participants with a normal ABI, those with ABI>1.3 had a lower prevalence of hypertension and current smoking. The ABI>1.3 group had a greater mean body mass index, but was characterized by fewer pack years of smoking and lower systolic and diastolic blood pressures than the normal ABI group. The prevalence of diabetes, left ventricular hypertrophy, claudication, and coronary heart disease and mean values of fibrinogen, factor VIII activity, von Willebrand factor, lipoprotein (a), and carotid and popliteal intimal-medial thickness were similar between the two ABI groups. The risk factor profiles of the ABI>1.4 and >1.5 groups were also not statistically significantly different from that of the normal ABI group. Over a mean follow-up time of 12.2 years, the age, sex, and race-adjusted CVD event rates per 1000 person years were 8.1 in the normal ABI group, 7.6 in the ABI>1.3 group, 7.6 in the ABI>1.4 group, and 7.4 in the ABI>1.5 group. The CVD event rates of the high ABI groups were similar to that of the normal ABI group. Conclusion: Individuals with a high ABI are not characterized by a more adverse atherosclerosis risk factor profile and do not suffer greater CVD event rates than those with a normal ABI. [Copyright &y& Elsevier]