Predicting the response to recombinant human growth hormone in Turner syndrome: KIGS models
Predicting the response to recombinant human growth hormone in Turner syndrome: KIGS models
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DOI：
10.1111/j.1651-2227.1999.tb14420.x
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发表时间：
1999-12-01
期刊：
影响因子：
3.8
通讯作者：
Price, DA
中科院分区：
文献类型：
--
作者：
Ranke, MB;Lindberg, A;Price, DA
通过对Pharmacia & Upjohn国际生长数据库KIGS数据的分析，建立了预测Turner综合征患者生长激素治疗后生长反应的数学模型。GM治疗第一年的模型解释了46%的生长反应变异性，GH剂量是身高增长速度的最重要预测因素。在治疗的第2-4年，前一年的身高增长速度是最重要的预测因素，这表明个体对GH的初始反应可能决定治疗的身高结果。GH治疗1-4年的身高增长速度的其他预测因素包括年龄（阴性），体重SDS和氧雄龙的额外治疗。所有4年的预测都非常准确，如低误差SD所示。然而，治疗第2-4年期间相对较低的预测能力（R）表明模型缺少其他参数，这些参数可以解释更多的生长反应变异性。这些生长预测模型可以帮助临床医生设计个性化的治疗方案，提供现实的治疗效果预期，并根据观察到的和预测的身高速度之间的差异来调整治疗。
A mathematical model fur predicting the growth response in patients with Turner syndrome who received growth hormone (GH) therapy was developed by analysing data from KIGS, the Pharmacia & Upjohn International Growth Database. A model fur year I of GM therapy explained 46% of the variability of the growth response, with GH dose being the most important of the predictors of height velocity. In years 2-4 of therapy, height velocity during the previous year was the most important predictor, suggesting that an individual's initial response to GH may determine the height outcome of treatment. Additional predictors of height velocity in years 1-4 of GH therapy included age (negative), weight SDS and additional treatment with oxandrolone. The predictions in all 4 years were highly accurate, as indicated by the low error SDs. However, relatively low predictive power (R) during years 2-4 of treatment suggests the models are missing other parameters that would explain more of the variability of the growth response. These growth prediction models could help clinicians to design individualized treatment regimens, provide realistic expectations of therapy outcomes, and adjust treatment on the basis of detected differences between observed and predicted height velocities.