• J. Am. Coll. Surg. · Mar 2013

    Using body mass index to predict optimal thyroid dosing after thyroidectomy.

    • Kristin A Ojomo, David F Schneider, Alexandra E Reiher, Ngan Lai, Sarah Schaefer, Herbert Chen, and Rebecca S Sippel.
    • Section of Endocrine Surgery, Department of Surgery, University of Wisconsin, Madison, WI 53792, USA.
    • J. Am. Coll. Surg.. 2013 Mar 1;216(3):454-60.

    BackgroundCurrent postoperative thyroid replacement dosing is weight based, with adjustments made after thyroid-stimulating hormone values. This method can lead to considerable delays in achieving euthyroidism and often fails to accurately dose over- and underweight patients. Our aim was to develop an accurate dosing method that uses patient body mass index (BMI) data.Study DesignA retrospective review of a prospectively collected thyroid database was performed. We selected adult patients undergoing thyroidectomy, with benign pathology, who achieved euthyroidism on thyroid hormone supplementation. Body mass index and euthyroid dose were plotted and regression was used to fit curves to the data. Statistical analysis was performed using STATA 10.1 software (Stata Corp).ResultsOne hundred twenty-two patients met inclusion criteria. At initial follow-up, only 39 patients were euthyroid (32%). Fifty-three percent of patients with BMI >30 kg/m(2) were overdosed, and 46% of patients with BMI <25 kg/m(2) were underdosed. The line of best fit demonstrated an overall quadratic relationship between BMI and euthyroid dose. A linear relationship best described the data up to a BMI of 50. Beyond that, the line approached 1.1 μg/kg. A regression equation was derived for calculating initial levothyroxine dose (μg/kg/d = -0.018 × BMI + 2.13 [F statistic = 52.7, root mean square error of 0.24]).ConclusionsThe current standard of weight-based thyroid replacement fails to appropriately dose underweight and overweight patients. Body mass index can be used to more accurately dose thyroid hormone using a simple formula.Copyright © 2013 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

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