2008
DOI: 10.1016/j.ijcard.2007.03.130
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Cardiac effects of l-thyroxine administration in borderline hypothyroidism

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Cited by 16 publications
(15 citation statements)
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“…We used TDI-derived parameters such as S, IVV, and IVA to evaluate LV systolic functions. Similar to our study, Mariotti et al [22] found impaired LV systolic functions using S and observed a significant improvement following l-T 4 substitution therapy. The main finding in our study was the ability of IVA, which is a reliable systolic parameter that is not influenced by preload and afterload changes, to show impairment in LV systolic functions.…”
Section: Resultssupporting
confidence: 92%
“…We used TDI-derived parameters such as S, IVV, and IVA to evaluate LV systolic functions. Similar to our study, Mariotti et al [22] found impaired LV systolic functions using S and observed a significant improvement following l-T 4 substitution therapy. The main finding in our study was the ability of IVA, which is a reliable systolic parameter that is not influenced by preload and afterload changes, to show impairment in LV systolic functions.…”
Section: Resultssupporting
confidence: 92%
“…TSI parameters of asynchrony (including Ts‐SD‐12, Ts‐12, Ts‐SD‐6, and Ts‐6) were clearly prolonged in patients with overt hypothyroidism compared with the control group. In addition, Sm and Em velocities of four‐basal segments of LV were lower in hypothyroid group than control group as compatible with previous studies 31‐33 …”
Section: Discussionsupporting
confidence: 92%
“…The impact of altered myocardial metabolism on the cardiac function is evidenced, for instance, in echocardiographic studies of patients with diabetes mellitus, thyroid disorders, and thiamine deficiency. [1][2][3][4] Several metabolic disturbances including obesity, 5 mitochondrial genetic disorders, 6 and lipid abnormalities 7 are also closely linked to the HF risk, but even subtle metabolic variations (e.g. high-normal blood glucose levels) may antedate overt HF by years, underscoring the potential relevance of metabolomics for long-term HF risk prediction.…”
Section: Introductionmentioning
confidence: 99%