de Ronde Willem, van der Schouw Yvonne T, Pols Huibert A P, Gooren Louis J G, Muller Majon, Grobbee Diederick E, de Jong Frank H
Department of Endocrinology, Vrije Universiteit Medical Center, Amsterdam, The Netherlands.
Clin Chem. 2006 Sep;52(9):1777-84. doi: 10.1373/clinchem.2005.063354. Epub 2006 Jun 22.
Estimation of serum concentrations of free testosterone (FT) and bioavailable testosterone (bioT) by calculation is an inexpensive and uncomplicated method. We compared results obtained with 5 different algorithms.
We used 5 different published algorithms [described by Sodergard et al. (bioTS and FTS), Vermeulen et al. (bioTV and FTV), Emadi-Konjin et al. (bioTE), Morris et al. (bioTM), and Ly et al. (FTL)] to estimate bioT and FT concentrations in samples obtained from 399 independently living men (ages 40-80 years) participating in a cross-sectional, single-center study.
Mean bioT was highest for bioTS (10.4 nmol/L) and lowest for bioT(E) (3.87 nmol/L). Mean FT was highest for FTS (0.41 nmol/L), followed by FTV (0.35 nmol/L), and FTL (0.29 nmol/L). For bioT concentrations, the Pearson correlation coefficient was highest for the association between bioTS and bioTV (r = 0.98) and lowest between bioTM and bioTE (r = 0.66). FTL was significantly associated with both FTS (r = 0.96) and FTV (r = 0.88). The Pearson correlation coefficient for the association between FTL and bioTM almost reached 1.0. Bland-Altman analysis showed large differences between the results of different algorithms. BioTM, bioTE, bioTV, and FTL were all significantly associated with sex hormone binding globulin (SHBG) concentrations.
Algorithms to calculate FT and bioT must be revalidated in the local setting, otherwise over- or underestimation of FT and bioT concentrations can occur. Additionally, confounding of the results by SHBG concentrations may be introduced.
通过计算来估计血清游离睾酮(FT)和生物可利用睾酮(bioT)的浓度是一种经济且简便的方法。我们比较了5种不同算法所得的结果。
我们使用5种不同的已发表算法[由Sodergard等人描述的(bioTS和FTS)、Vermeulen等人描述的(bioTV和FTV)、Emadi-Konjin等人描述的(bioTE)、Morris等人描述的(bioTM)以及Ly等人描述的(FTL)]来估计从399名年龄在40至80岁、独立生活的男性中获取的样本中的bioT和FT浓度,这些男性参与了一项横断面单中心研究。
bioTS的平均bioT最高(10.4 nmol/L),bioT(E)最低(3.87 nmol/L)。FTS的平均FT最高(0.41 nmol/L),其次是FTV(0.35 nmol/L)和FTL(0.29 nmol/L)。对于bioT浓度,bioTS与bioTV之间的Pearson相关系数最高(r = 0.98),bioTM与bioTE之间最低(r = 0.66)。FTL与FTS(r = 0.96)和FTV(r = 0.88)均显著相关。FTL与bioTM之间关联的Pearson相关系数几乎达到1.0。Bland-Altman分析显示不同算法的结果之间存在较大差异。BioTM、bioTE、bioTV和FTL均与性激素结合球蛋白(SHBG)浓度显著相关。
计算FT和bioT的算法必须在当地环境中重新验证,否则可能会出现FT和bioT浓度的高估或低估。此外,可能会引入SHBG浓度对结果的混杂影响。