five

Supplementary Material for: Levothyroxine Absorption Test to Differentiate Pseudomalabsorption from True Malabsorption

收藏
DataCite Commons2025-05-01 更新2024-07-27 收录
下载链接:
https://karger.figshare.com/articles/Supplementary_Material_for_Levothyroxine_Absorption_Test_to_Differentiate_Pseudomalabsorption_from_True_Malabsorption/10550729/1
下载链接
链接失效反馈
官方服务:
资源简介:
<b><i>Background:</i></b> The levothyroxine absorption test for evaluation of pseudomalabsorption in patients with primary hypothyroid is not standardised. An individual in whom a workup for malabsorption is warranted remains undefined. <b><i>Methods:</i></b> Twenty-five euthyroid, 25 newly diagnosed hypothyroid, 25 treated hypothyroid with normalised TSH, and 25 hypothyroid subjects with elevated TSH despite adequate dose of levothyroxine for more than 6 months, and 10 euthyroid subjects with true malabsorption were administered levothyroxine (10 μg/kg or maximum 600 μg) to study its absorption profile by measuring free T4 level at hourly intervals for 5 h. <b><i>Results</i></b>: Free T4 peaked at 3 h with marginal insignificant decline at 4 h in all groups. The increments of free T4 (between baseline and 3 h) of the four groups (except malabsorption) were not statistically different. The mean increment of free T4 in true malabsorption was 0.39 ng/dL (95% CI: 0.29–0.52) and it was 0.78 ng/dL (95% CI: 0.73–0.85) (10.4 pmol/L) for other groups combined together. The cut off of free T4 increment at 3 h from baseline above 0.40 ng/dL had a sensitivity of 97% and specificity of 80% (AUC 0.904, <i>p</i> &lt; 0.001) to exclude true malabsorption. <b><i>Conclusion:</i></b> Subjects with elevated TSH on adequate dose of LT4 can be reliably diagnosed to be non-adherent to treatment with levothyroxine absorption test. The incremental value above 0.40 ng/dL (5.14 pmol/L) at 3 h may be useful to identify individuals where workup of malabsorption is unwarranted.
提供机构:
Karger Publishers
创建时间:
2019-11-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作