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Idiopathic Short Stature Phenotypes among Korean Children: Cluster Analysis

机译:韩国儿童特发性矮小身材表型:集群分析

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Idiopathic short stature (ISS) is a heterogeneous group and their responsiveness to growth hormone treatment varies among individuals. The aim of this study was to identify homogeneous phenotypes to better assess response before the initiation of treatment. We focused on person-centered approaches using a latent profile analysis. Clinical data of 218 children (127 boys and 91 girls) aged 4-15 years were obtained from the "LG Growth Study" which is a non-interventional Korean multicenter registry for growth hormone treatment. Growth hormone dose, first-year difference in height standard deviation score (Delta height SDS), mid-parental height SDS, and initial bone age were inputted into the model. The distribution of scatter plot was clearly distinguished at the chronological age of 8.83 years, Delta height SDS of 0.82 and mean GH dose of 0.36 mg/kg/week. The latent profile analysis revealed three distinct phenotypes names as follows: younger good responder (n = 56), older good responder (n = 111), and older poor responder (n = 51) groups. Despite more than twice the mean growth hormone dose, the older poor responder group showed the least improvement in the mean Delta height SDS. The pretreatment height velocity and peak growth hormone level were lower for the older poor responder group compared with those of the older good responder group. The statistically optimal cutoff point for predicting poor response was 3.41 cm/year for pretreatment height velocity and 9.18 ng/mL for peak growth hormone level. This study offers a new multidimensional approach to enable personalized growth hormone treatment optimization according to ISS phenotypes.
机译:特发性矮小地平整(ISS)是一种异质组,它们对生长激素治疗的反应变化变化。本研究的目的是鉴定均匀表型以更好地评估治疗前的反应。我们专注于使用潜在的配置文件分析的人为中心的方法。从4-15岁的218名儿童(127名男孩和91名女孩)的临床资料是从“LG增长研究”获得的,这是一个非介入的韩国多中心注册表,用于增长激素治疗。生长激素剂量,高度标准偏差评分(Delta Height SDS),中间父母高度SDS和初始骨龄的第一年差异被输入到模型中。散射图的分布在时间年龄为8.83岁,δ高度SDS为0.82,平均GH剂量为0.36 mg / kg /周。潜在的简档分析显示了三种不同的表型名称如下:小良好响应者(n = 56),较旧的良好响应者(n = 111),较旧的响应者(n = 51)组。尽管均多是平均生长激素剂量的两倍,但较旧的响应器组表现出平均δ高度SDS的最小改善。与较旧的良好响应者组相比,较老响应者组的预处理高速和峰值生长激素水平降低。用于预测较差的统计最佳截止点为预处理高度速度为3.41厘米/厘米/年,峰值生长激素水平为9.18ng / ml。本研究提供了一种新的多维方法,可根据ISS表型赋予个性化生长激素治疗优化。

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