Departments of General Internal Medicine, Gastroenterology and Endocrinology, Klinikum Luedenscheid, Paulmannshöher Strasse 14, Luedenscheid, Germany.
Eur J Endocrinol. 2010 Jun;162(6):1123-9. doi: 10.1530/EJE-10-0106. Epub 2010 Mar 18.
The present study re-evaluates the inverse log TSH-free thyroxine (fT(4)) relationship, which has generally been assumed to characterize the thyroid pituitary hypothalamic feedback regulation in thyroid function.
The correlation between fT(4) and TSH was analyzed in two data sets from differing time periods involving 3223 and 6605 patients referred for thyroid testing, representing the whole range of thyroid functions from hypothyroidism to hyperthyroidism.
We found that the data do not support a linear log TSH-fT(4) relationship; instead, the correlation's gradient varies with thyroid function. As a consequence, an alternate model, based on the error function, was introduced. When directly comparing the models by means of curve fitting, using F-test and Akaike criteria, the alternate model results in a significantly better fit. The model was verified in the independent second set of data. Subgroup analysis of untreated patients added further proof to the non-linear model.
We propose a refined non-linear model to describe the relationship between TSH and fT(4). It implies that TSH response to a deviating fT(4) value may not be log-linear, but may be disproportionally related to the extent of the deviation from an optimum set point. A better understanding of the complex nature of the TSH-fT(4) relationship may further the development of more precise clinical models and aid in better defining subclinical states of thyroid dysfunction. Also, it may encourage other biological interrelations to be reconsidered in the wake of advanced measurement techniques and more powerful computerized statistical procedures.
本研究重新评估了反 log TSH-游离甲状腺素(fT(4))关系,该关系通常被认为是甲状腺功能的甲状腺垂体下丘脑反馈调节的特征。
分析了来自两个不同时间段的 3223 名和 6605 名甲状腺功能检查患者的 fT(4)和 TSH 之间的相关性,这些患者代表了从甲状腺功能减退症到甲状腺功能亢进症的整个甲状腺功能范围。
我们发现数据不支持线性 log TSH-fT(4)关系;相反,相关性的梯度随甲状腺功能而变化。因此,引入了基于误差函数的替代模型。通过使用 F 检验和 Akaike 准则直接比较模型,替代模型的曲线拟合结果更好。该模型在独立的第二组数据中得到了验证。未经治疗患者的亚组分析进一步证明了非线性模型。
我们提出了一个改进的非线性模型来描述 TSH 和 fT(4)之间的关系。这意味着 TSH 对偏离 fT(4)值的反应可能不是对数线性的,而是与偏离最佳设定点的程度不成比例。更好地理解 TSH-fT(4)关系的复杂性质可能会进一步发展更精确的临床模型,并有助于更好地定义甲状腺功能障碍的亚临床状态。此外,随着先进的测量技术和更强大的计算机化统计程序的出现,可能会鼓励重新考虑其他生物相互关系。