Literature DB >> 24548188

IGF-I and IGFBP2 in peripheral artery disease: results of a prospective study.

Grazina Urbonaviciene1, Jan Frystyk, Sigitas Urbonavicius, Jes S Lindholt.   

Abstract

BACKGROUND AND OBJECTIVES: The search for novel risk factors of cardiovascular disease (CVD) has provided valuable clinical data concerning underlying mechanism of disease. Increasing evidence indicates a possible involvement of insulin-like growth factor-I (IGF-I) and its binding protein 2 (IGFBP-2) in the pathogenesis of CVD disorders. The aim of this study was to examine the relationship between levels of IGF-I and IGFBP-2 with all-cause and CVD mortality in a prospective study of patients with lower-extremity peripheral artery disease (PAD). METHODS AND MATERIAL: Serum IGF-I and IGFBP-2 levels were obtained in 440 patients (257 males) with symptomatic PAD. Patients were followed for a median of 6.1 (IQ 5.1-7.2) years. The relationship between times to lethal outcome and baseline serum IGF-I and IFGBP-2 levels were examined by Cox proportional hazard analysis. The role of IFGBP-2 for prognosis of CVD death was assessed with c-statistic.
RESULTS: During follow-up 115 (26%) patients (48 females and 67 males) died, and 53 (12%) died from CVD-related causes. Cox regression analysis revealed that an increase of 100 μg/l of baseline IFGBP-2 were significantly associated with an increased risk for CVD mortality [crude hazard ratio (HR) 1.14 (95% CI (1.05-1.23)), and adjusted HR 1.12 (95% CI (1.01-1.24))]. The receiver operating characteristic (ROC) analysis yielded area under curve of 0.61 (95% CI: 0.51-0.67, p = 0.022). However, the model including IFGBP-2 did not show a significant improvement in accuracy of CVD death prediction [the area under ROC curve 0.73 (0.66-0.80) vs. 0.75 (0.69-0.82), p = 0.696], and net reclassification improvement was 10.3% (p = 0.23).
CONCLUSIONS: Increased IFGBP-2 concentration was significantly and independently associated with long-term CVD mortality in patients with lower-extremity PAD. However, risk prediction of CVD mortality did not improve by adding IFGBP-2 to a model containing conventional CVD risk factors.

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Year:  2014        PMID: 24548188     DOI: 10.3109/14017431.2014.891760

Source DB:  PubMed          Journal:  Scand Cardiovasc J        ISSN: 1401-7431            Impact factor:   1.589


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