2001
DOI: 10.1016/s1043-2760(01)00425-8
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Endothelial dysfunction in endocrine disease

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Cited by 58 publications
(39 citation statements)
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“…Extremely highly significant relationships were found for all of the above four experimental models (p<0.0001), results which clearly demonstrated powerful associations between thyroid disease status and each of the four BP components examined [Fig-4]. Indeed, for model (1), only the first and second factors significantly contributed to the total variance (80 and 20%, respectively), and the order of each factorial contribution for the explanatory variables was euthyroid disease status > BMI > age > serum TSH level > hypothyroid disease status > gender for factor 1, and hyperthyroid disease status and serum T4 level for factor 2, i.e. the second component was ascribable to the hyperthyroid condition [these two factors represent linear combinations of (correlated) quantitative explanatory variables and are orthogonal (uncorrelated) to each other].…”
Section: Permutation Tests Via Redundancy Analysis (Rda)mentioning
confidence: 92%
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“…Extremely highly significant relationships were found for all of the above four experimental models (p<0.0001), results which clearly demonstrated powerful associations between thyroid disease status and each of the four BP components examined [Fig-4]. Indeed, for model (1), only the first and second factors significantly contributed to the total variance (80 and 20%, respectively), and the order of each factorial contribution for the explanatory variables was euthyroid disease status > BMI > age > serum TSH level > hypothyroid disease status > gender for factor 1, and hyperthyroid disease status and serum T4 level for factor 2, i.e. the second component was ascribable to the hyperthyroid condition [these two factors represent linear combinations of (correlated) quantitative explanatory variables and are orthogonal (uncorrelated) to each other].…”
Section: Permutation Tests Via Redundancy Analysis (Rda)mentioning
confidence: 92%
“…On consideration of the clear 'between-thyroid status' differences in such relationships, we computed partial correlation coefficients [rbp (n).th(1-4)] for each thyroid status classification [ Table-2]. Table 2-Partial correlation coefficient (rbp(n).th (1)(2)(3)(4)) values between individual BP components and blood serum TSH and T4 biomarker levels (IU/ml and ng/ml respectively), age (yr.) and BMI (kg.m-2) parameters. The corresponding two-tailed significance (p) values of these rbp(n).th (1)(2)(3)(4) values are provided in brackets.…”
Section: Multivariate Statistical Analysis Partial Correlation Analysismentioning
confidence: 99%
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“…Endothelial dysfunction has been identified as an early marker of cardiovascular disease and has been shown to predict future coronary artery disease before atherosclerotic changes appear in arteries. Serum markers of endothelial function such as E-selectin and intercellular adhesion molecule-1 are associated with either increased mortality from or increased prevalence of cardiovascular disease (Abdu, Elhadd, Pfeifer, & Clayton, 2001) similar to obesity and diabetes. Thrombus formation underpins the development of cardiovascular diseases, including acute coronary syndromes and ischemic stroke.…”
Section: Conceptual Frameworkmentioning
confidence: 99%