English

Abstract

Materials and Methods: We followed rigid criteria in order to select adults with hyperthyroidism (n=71) and hypothyroidism (n=300), together with healthy age-matched controls (n =300), and applied a series of statistical analysis strategies to the datasets acquired. Results: Univariate statistical analysis strategies of the SBP:DBP ratio by ANOVA and ANCOVA revealed that its mean value was significantly greater in hyperthyroid patients than those of healthy control and hypothyroid subjects (p˂0.0001). Body mass index (BMI) was significantly elevated in hypothyroid patients over those of healthy control and hyperthyroid subjects (p˂0.0001); healthy controls had a significantly greater BMI value than that of hyperthyroid patients (p˂0.0001). Multivariate (MV) analysis [redundancy analysis (RDA), canonical correlation analysis (CCorA), and principal component analysis (PCA)] demonstrated powerful relationships between all blood pressure components and thyroid disease classifications, together with their biomarker indices and further patient-related parameters. Conclusions: Since thyroid dysfunctional status is associated with elevated BP, and increasing BP is positively-correlated with elevated serum thyroid biomarkers, hyper and hypothyroid disorders should be recognized and treated early in order to avoid critical hazards presented by high BP.