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Association of Advanced Glycation End Products With Lower-Extremity Atherosclerotic Disease in Type 2 Diabetes Mellitus

Aims: Advanced glycation end products (AGEs) were reported to be correlated with the development of diabetes, as well as diabetic vascular complications. Therefore, this study aimed at investigating the association between AGEs and lower-extremity atherosclerotic disease (LEAD). Methods: A total of...

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Detalles Bibliográficos
Autores principales: Ying, Lingwen, Shen, Yun, Zhang, Yang, Wang, Yikun, Liu, Yong, Yin, Jun, Wang, Yufei, Yin, Jingrong, Zhu, Wei, Bao, Yuqian, Zhou, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460767/
https://www.ncbi.nlm.nih.gov/pubmed/34568445
http://dx.doi.org/10.3389/fcvm.2021.696156
Descripción
Sumario:Aims: Advanced glycation end products (AGEs) were reported to be correlated with the development of diabetes, as well as diabetic vascular complications. Therefore, this study aimed at investigating the association between AGEs and lower-extremity atherosclerotic disease (LEAD). Methods: A total of 1,013 type 2 diabetes patients were enrolled. LEAD was measured through color Doppler ultrasonography. The non-invasive skin autofluorescence method was performed for AGEs measurement. Considering that age plays an important role in both AGEs and LEAD, age-combined AGEs, i.e., AGE(age) index (define as AGEs × age/100) was used for related analysis. Results: The overall prevalence of LEAD was 48.9% (495/1,013). Patients with LEAD showed a significantly higher AGE(age) (p < 0.001), and the prevalence of LEAD increased with ascending AGE(age) levels (p for trend < 0.001). Logistic regression analysis revealed that AGE(age) was significantly positively associated with risk of LEAD, and the odds ratios of presence of LEAD across quartiles of AGE(age) were 1.00, 1.72 [95% confidence interval (CI) = 1.14–2.61], 2.72 (95% CI = 1.76–4.22), 4.29 (95% CI = 2.69–6.85) for multivariable-adjusted model (both p for trend < 0.001), respectively. The results were similar among patients of different sexes, body mass index, and with or without diabetes family history. Further, AGE(age) presented a better predictive value for LEAD than glycated hemoglobin A(1c) (HbA(1c)), with its sensitivity, specificity, and area under the curve of 75.5% (95% CI = 71.6–79.2%), 59.3% (95% CI = 54.9–63.6%), and 0.731 (0.703–0.758), respectively. Conclusion: AGE(age), the non-invasive measured skin AGEs combined with age, seems to be a more promising approach than HbA(1c) in identifying patient at high risk of LEAD.