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血糖和血脂水平与全血细胞计数指标的关联以建立回归模型。

Association of blood glucose and lipid levels with complete blood count indices to establish a regression model.

作者信息

Hao Guangshu, Wang Dan, Sun Yanni, Yu Jiong, Lin Feiyan, Cao Hongcui

机构信息

Central Laboratory, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China.

The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, P.R. China.

出版信息

Biomed Rep. 2017 Mar;6(3):339-345. doi: 10.3892/br.2017.852. Epub 2017 Jan 30.

DOI:10.3892/br.2017.852
PMID:28451397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5403465/
Abstract

Hyperglycemia and hyperlipidemia, which are usually diagnosed by analysis of blood glucose (GLU) and lipid levels, are two of the most common diseases in modern society. The purpose of the current study was to investigate the potential association between blood GLU and lipid levels with complete blood count (CBC) indices in overweight and healthy individuals and establish a regression model. There were 456 healthy and 421 overweight participants in the study. Data were collected on triglyceride (TG), total cholesterol (CHO), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), blood GLU and CBC. The distribution characteristics and differences between healthy and overweight subjects were analyzed. Subsequently, the associations between TG, CHO, HDL, LDL and GLU with CBC were analyzed using correlation analysis and multiple linear regression (MLR). Significant differences were identified between the healthy and overweight individuals in TG, CHO, HDL, LDL, GLU and in the majority of the CBC indices. The correlation analysis indicated that there were strong correlations between TG, LDL, HDL, CHO and GLU with CBC indices in the healthy and overweight subjects. The MLR demonstrated that the regression models of TG, LDL, HDL and CHO, but no GLU, were statistically significant in the two groups (P<0.001). The HDL regression model exhibited the best regression parameters; the multiple correlation coefficients (R) were 0.351 and 0.308 in the healthy and overweight subjects, respectively. In the overweight and healthy subjects, there were strong correlations between TG, LDL, HDL and CHO with CBC indices, with HDL being the most relevant to the CBC indices. The CBC demonstrated statistical significance in the diagnosis of hyperlipidemia.

摘要

高血糖和高血脂通常通过分析血糖(GLU)和血脂水平来诊断,是现代社会中最常见的两种疾病。本研究的目的是调查超重和健康个体的血糖和血脂水平与全血细胞计数(CBC)指标之间的潜在关联,并建立回归模型。该研究中有456名健康参与者和421名超重参与者。收集了甘油三酯(TG)、总胆固醇(CHO)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、血糖和全血细胞计数的数据。分析了健康和超重受试者之间的分布特征及差异。随后,采用相关性分析和多元线性回归(MLR)分析了TG、CHO、HDL、LDL和GLU与全血细胞计数之间的关联。在健康和超重个体之间,TG、CHO、HDL、LDL、GLU以及大多数全血细胞计数指标存在显著差异。相关性分析表明,在健康和超重受试者中,TG、LDL、HDL、CHO和GLU与全血细胞计数指标之间存在强相关性。多元线性回归表明,TG、LDL、HDL和CHO的回归模型在两组中具有统计学意义(P<0.001),但GLU的回归模型无统计学意义。HDL回归模型表现出最佳的回归参数;健康和超重受试者的多重相关系数(R)分别为0.351和0.308。在超重和健康受试者中,TG、LDL、HDL和CHO与全血细胞计数指标之间存在强相关性,其中HDL与全血细胞计数指标最为相关。全血细胞计数在高脂血症诊断中具有统计学意义。