Tofano Ricardo José, Pescinni-Salzedas Leticia Maria, Chagas Eduardo Federighi Baisi, Detregiachi Claudia Rucco Penteado, Guiguer Elen Landgraf, Araujo Adriano Cressoni, Bechara Marcelo Dib, Rubira Claudio José, Barbalho Sandra Maria
Department of Biochemistry and Pharmacology, School of Medicine, University of Marília (UNIMAR), Marília, São Paulo, Brazil.
Postgraduate Program in Structural and Functional Interactions in Rehabilitation, UNIMAR, Marília, São Paulo, Brazil.
Diabetes Metab Syndr Obes. 2020 Sep 24;13:3239-3248. doi: 10.2147/DMSO.S271050. eCollection 2020.
To evaluate the association between parameters of hyperferritinemia (HF) and metabolic syndrome (MS) in patients at cardiovascular risk.
This is a cross-sectional analytical observational study that included 269 patients who attended a cardiology unit. Biochemical and anthropometric parameters were evaluated to identify the presence of HF and MS. The presence of MS was evaluated according to NCEP ATP III. Biochemical parameters (glycemia, triglycerides, HDL-c) were assessed according to the manufacturer's protocols. Anthropometric measurements and blood pressure measurements were made by a trained professional. The chi-square ( ) test, odds ratio, normality distribution (verified by the Kolmogorov-Smirnov test), and Levene's test were used to analyze the variables. To evaluate the effect of MS, HF, and the interaction between MS and HF, two-way analysis of variance (ANOVA) was performed based on the homogeneity of the variances, followed by Bonferroni's post hoc comparisons. Spearman correlation analysis was performed to evaluate the relationship between quantitative variables. A multiple linear regression model was used to analyze the effect of covariables. A logistic regression model was built to analyze the variables that contribute significantly to predict the outcome (HF) using the backward method.
Our results showed that 57% of men and 49.5% of women presented with MS; 44% of men and 11% of women presented with HF. The presence of MS and hypertriglyceridemia increase the probability of having HF by up to 2.1 and 1.88 times, respectively, while for male sex it is increased by 6.2 times. Patients with HF have higher values of C-reactive protein, ferritin, and transferrin saturation, regardless of the presence of MS. The linear regression analysis model indicated that the variables considered in this study explain less than 30% of the variation in ferritin and that the presence of MS in men is responsible for 22% of the variation in the probability of the occurrence of HF.
Our results show that hyperferritinemia is closely associated with the components of MS (positive correlation with glycemia, triglycerides levels, blood pressure, and waist circumference, and negative correlation with HDL-c values) in the studied population.
评估心血管疾病风险患者中高铁蛋白血症（HF）参数与代谢综合征（MS）之间的关联。
这是一项横断面分析观察性研究，纳入了269名心内科就诊患者。评估生化和人体测量学参数以确定HF和MS的存在。根据美国国家胆固醇教育计划成人治疗组第三次报告（NCEP ATP III）评估MS的存在。生化参数（血糖、甘油三酯、高密度脂蛋白胆固醇）根据制造商的方案进行评估。人体测量和血压测量由经过培训的专业人员进行。采用卡方检验、比值比、正态分布（通过柯尔莫哥洛夫-斯米尔诺夫检验验证）和莱文检验来分析变量。为评估MS、HF以及MS与HF之间的相互作用的影响，基于方差齐性进行双向方差分析（ANOVA），随后进行邦费罗尼事后比较。进行斯皮尔曼相关性分析以评估定量变量之间的关系。使用多元线性回归模型分析协变量的影响。构建逻辑回归模型以使用向后法分析对预测结果（HF）有显著贡献的变量。
我们的结果显示，57%的男性和49.5%的女性患有MS；44%的男性和11%的女性患有HF。MS和高甘油三酯血症的存在分别使患HF的概率增加至2.1倍和1.88倍，而男性患HF的概率增加6.2倍。无论是否存在MS，HF患者的C反应蛋白、铁蛋白和转铁蛋白饱和度值均较高。线性回归分析模型表明，本研究中考虑的变量解释的铁蛋白变化不到30%，男性中MS的存在导致HF发生概率变化的22%。
我们的结果表明，在所研究的人群中，高铁蛋白血症与MS的各组分密切相关（与血糖、甘油三酯水平、血压和腰围呈正相关，与高密度脂蛋白胆固醇值呈负相关）。
