| Literature DB >> 25860885 |
Lu Li1, Bo Liu2, Jingyi Lu1, Lan Jiang3, Yinan Zhang4, Yingdi Shen2, Congrong Wang5, Weiping Jia1.
Abstract
The aim of this study is to investigate the association between serum albumin concentrations and nerve conduction (NC) parameters in Chinese patients with type 2 diabetes (T2DM). A total of 409 T2DM patients were enrolled between October 2010 and April 2014. All participants underwent nerve conduction studies. The composite Z scores for NC parameters including conduction velocity (CV), amplitude, and latency were calculated as well. Serum albumin was measured by Bromcresol Green dye-binding method. The composite Z scores of CV and amplitude increased with the increasing albumin tertiles (test for trend, both P < 0.001), while the composite Z score of latency decreased with increasing albumin tertiles (test for trend, P < 0.001). After adjusting for age, sex, duration, and HbA1c, higher serum albumin concentrations were associated with higher composite Z scores of CV (β = 0.314, P < 0.001), amplitude (β = 0.279, P < 0.001), and lower composite Z score of latency (β = -0.279, P < 0.001). When participants were stratified into albuminuria and normoalbuminuria group, we found the associations of serum albumin with composite Z scores of NC parameters remained significant only in the albuminuria group (CV Z score: β = 0.253, P = 0.002; amplitude Z score: β = 0.233, P = 0.006; latency Z score: β = -0.217 P = 0.013) after further adjustment for urinary albumin to creatinine ratio. The optimal cutoff point of serum albumin to indicate abnormal peripheral nerve function was 36.75 g/L in T2DM patients with albuminuria, with a sensitivity of 65.6 % and a specificity of 78.0 %. Serum albumin was independently associated with peripheral nerve function in T2DM patients, especially in those with albuminuria. Serum albumin could be a potential biomarker for diabetic peripheral neuropathy.Entities:
Keywords: Composite Z score; Diabetic peripheral neuropathy; Nerve conduction study; Serum albumin; Type 2 diabetes
Mesh:
Substances:
Year: 2015 PMID: 25860885 DOI: 10.1007/s12020-015-0588-8
Source DB: PubMed Journal: Endocrine ISSN: 1355-008X Impact factor: 3.633