Search Results
Search for other papers by John E M Midgley in
Google Scholar
PubMed
Search for other papers by Rolf Larisch in
Google Scholar
PubMed
North Lakes Clinical, Department of Nuclear Medicine, Medical Department I, Ruhr Center for Rare Diseases (CeSER), 20 Wheatley Avenue, Ilkley LS29 8PT, UK
Search for other papers by Johannes W Dietrich in
Google Scholar
PubMed
Search for other papers by Rudolf Hoermann in
Google Scholar
PubMed
Several influences modulate biochemical responses to a weight-adjusted levothyroxine (l-T4) replacement dose. We conducted a secondary analysis of the relationship of l-T4 dose to TSH and free T3 (FT3), using a prospective observational study examining the interacting equilibria between thyroid parameters. We studied 353 patients on steady-state l-T4 replacement for autoimmune thyroiditis or after surgery for malignant or benign thyroid disease. Peripheral deiodinase activity was calculated as a measure of T4–T3 conversion efficiency. In euthyroid subjects, the median l-T4 dose was 1.3 μg/kg per day (interquartile range (IQR) 0.94,1.60). The dose was independently associated with gender, age, aetiology and deiodinase activity (all P<0.001). Comparable FT3 levels required higher l-T4 doses in the carcinoma group (n=143), even after adjusting for different TSH levels. Euthyroid athyreotic thyroid carcinoma patients (n=50) received 1.57 μg/kg per day l-T4 (IQR 1.40, 1.69), compared to 1.19 μg/kg per day (0.85,1.47) in autoimmune thyroiditis (P<0.01, n=76) and 1.08 μg/kg per day (0.82, 1.44) in patients operated on for benign disease (P< 0.01, n=80). Stratifying patients by deiodinase activity categories of <23, 23–29 and >29 nmol/s revealed an increasing FT3–FT4 dissociation; the poorest converters showed the lowest FT3 levels in spite of the highest dose and circulating FT4 (P<0.001). An l-T4-related FT3–TSH disjoint was also apparent; some patients with fully suppressed TSH failed to raise FT3 above the median level. These findings imply that thyroid hormone conversion efficiency is an important modulator of the biochemical response to l-T4; FT3 measurement may be an additional treatment target; and l-T4 dose escalation may have limited success to raise FT3 appropriately in some cases.
Department of Endocrinology, Austin Health, Melbourne, Australia
Division of Endocrinology, Diabetes and Metabolism, Northwell, Great Neck, New York, USA
Search for other papers by Yee-Ming M Cheung in
Google Scholar
PubMed
Search for other papers by Rudolf Hoermann in
Google Scholar
PubMed
Search for other papers by Karen Van in
Google Scholar
PubMed
Search for other papers by Damian Wu in
Google Scholar
PubMed
Search for other papers by Jenny Healy in
Google Scholar
PubMed
Search for other papers by Bella Halim in
Google Scholar
PubMed
Search for other papers by Manjri Raval in
Google Scholar
PubMed
Search for other papers by Maria McGill in
Google Scholar
PubMed
Department of Cardiology, Austin Health, Melbourne Australia
Search for other papers by Ali Al-Fiadh in
Google Scholar
PubMed
Search for other papers by Michael Chao in
Google Scholar
PubMed
Search for other papers by Shane White in
Google Scholar
PubMed
Olivia Newton-John Cancer Research Institute, Austin Health, Melbourne, Australia
Search for other papers by Belinda Yeo in
Google Scholar
PubMed
Department of Endocrinology, Austin Health, Melbourne, Australia
Search for other papers by Jeffrey D Zajac in
Google Scholar
PubMed
Department of Endocrinology, Austin Health, Melbourne, Australia
Search for other papers by Mathis Grossmann in
Google Scholar
PubMed
Purpose
We previously demonstrated that 12 months of aromatase inhibitor (AI) treatment was not associated with a difference in body composition or other markers of cardiometabolic health when compared to controls. Here we report on the pre-planned extension of the study. The pre-specified primary hypothesis was that AI therapy for 24 months would lead to increased visceral adipose tissue (VAT) area when compared to controls.
Methods
We completed a 12-month extension to our prospective 12-month cohort study of 52 women commencing AI treatment (median age 64.5 years) and 52 women with breast pathology not requiring endocrine therapy (63.5 years). Our primary outcome of interest was VAT area. Secondary and exploratory outcomes included other measures of body composition, hepatic steatosis, measures of atherosclerosis and vascular reactivity. Using mixed models and the addition of a fourth time point, we increased the number of study observations by 79 and were able to rigorously determine the treatment effect.
Results
Among study completers (AI = 39, controls = 40), VAT area was comparable between groups over 24 months, the mean-adjusted difference was −1.54 cm2 (95% CI: −14.9; 11.9, P = 0.79). Both groups demonstrated parallel and continuous increases in VAT area over the observation period that did not diverge or change between groups. No statistically significant difference in our secondary and exploratory outcomes was observed between groups.
Conclusions
While these findings provide reassurance that short-to-medium-term exposure to AI therapy is not associated with metabolically adverse changes when compared to controls, risk evolution should be less focussed on the AI-associated effect and more on the general development of cardiovascular risk over time.