国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (13): 2181-2186.DOI: 10.3760/cma.j.cn441417-20240708-13014

• 论著 • 上一篇    下一篇

基于列线图模型分析重组人生长激素治疗儿童生长激素缺乏症的临床疗效

周婷 刘菲 张人方 范婷婷   

  1. 商洛市中心医院儿科,商洛 726000

  • 收稿日期:2024-07-08 出版日期:2025-07-01 发布日期:2025-08-04
  • 通讯作者: 范婷婷,Email:892592477@qq.com
  • 基金资助:

    陕西省重点研发计划(2020SF-003)

Analysis of the clinical efficacy of recombinant human growth hormone treatment for children with growth hormone deficiency based on the nomogram model 

Zhou Ting, Liu Fei, Zhang Renfang, Fan Tingting   

  1. Department of Pediatrics, Shangluo Central Hospital, Shangluo 726000, China

  • Received:2024-07-08 Online:2025-07-01 Published:2025-08-04
  • Contact: Fan Tingting, Email:892592477@qq.com
  • Supported by:

    Shaanxi Province Key Research and Development Program (2020SF-003)

摘要:

目的 探讨重组人生长激素治疗儿童生长激素缺乏症(GHD)的临床疗效,并采用列线图模型进行预测分析。方法 选取2020年2月至2022年2月商洛市中心医院收治的86例GHD患儿作为研究对象。所有患儿均接受重组人生长激素治疗。治疗结束后,每3个月随访1次,随访1年。根据随访结果,将患儿分为无效组(17例)和有效组(69例)。收集患儿临床资料,包括一般资料(年龄、性别、体重指数、骨龄指数、身高标准差积分、地区、监护人教育水平、家庭经济状况、睡眠时长)和实验室指标[治疗前促卵泡激素(FSH)、雌二醇(E2)、睾酮(T)、黄体生成素(LH)、胰岛素样生长因子-1(IGF-1)、空腹血糖(FBG)、骨碱性磷酸酶(BAP)、游离三碘甲状腺原氨酸(FT3)、游离甲状腺素(FT4)水平以及FT3/FT4]。采用独立样本t检验、χ2检验进行统计学分析。采用多因素logistic回归分析GHD患儿治疗无效的影响因素;采用R3.4.3软件基于多因素logistic回归分析结果构建列线图模型;采用校准曲线和Hosmer-Lemeshow检验模型校准度;采用受试者操作特征曲线分析模型对GHD患儿治疗无效的预测效能,并计算曲线下面积。结果 本研究共纳入GHD患儿86例,无效患儿17例(19.77%)。有效组骨龄指数、身高标准差积分和BAP水平均高于无效组(均P<0.05)。多因素logistic回归分析结果显示,骨龄指数(OR=0.114,95%CI:0.021~0.620)、身高标准差积分(OR=0.019,95%CI:0.002~0.185)、BAP水平(OR=0.070,95%CI:0.009~0.544)均是GHD患儿治疗无效的影响因素(均P<0.05)。以骨龄指数、身高标准差积分、BAP水平为预测变量,构建列线图模型,该模型的校准度和拟合优度均较好。受试者操作特征曲线显示,该模型曲线下面积为0.972(95%CI:0.931~1.000),灵敏度为94.1%,特异度为97.1%。结论 骨龄指数、身高标准差积分以及BAP水平均是影响重组人生长激素治疗GHD患儿效果的因素,列线图模型可有效预测治疗效果,有助于指导临床实践。

关键词: 生长激素缺乏症, 重组人生长激素, 临床疗效, 列线图

Abstract:

Objective To investigate the clinical efficacy of recombinant human growth hormone in treating children with growth hormone deficiency (GHD), and to predict treatment outcomes using the nomogram model. Methods A total of 86 children with GHD who were admitted to Shangluo Central Hospital from February 2020 to February 2022 were selected as the study subjects. All the children received recombinant human growth hormone treatment. After the treatment, they were followed up every 3 months for 1 year. Based on the follow-up results, the children were divided into the ineffective group (17 cases) and the effective group (69 cases). The clinical data of the patients were collected, including general information (age, gender, body mass index, bone age index, height standard deviation score, region, guardian's educational level, family economic status, sleep duration) and laboratory indicators [frozen-thawed follicle stimulating hormone (FSH), estradiol (E2), testosterone (T), luteinizing hormone (LH), insulin-like growth factor-1 (IGF-1), fasting blood glucose (FBG), bone alkaline phosphatase (BAP), free triiodothyronine (FT3), free thyroxine (FT4) levels, and FT3/FT4 before treatment]. Independent sample t test and χ2 test were used for statistical analysis. Multivariate logistic regression analysis was used to identify the influencing factors for the ineffective treatment of children with GHD; the R3.4.3 software was employed to construct a nomogram model based on the results of the multivariate logistic regression analysis; calibration curves and Hosmer-Lemeshow tests were used to assess the calibration degree of the model; the receiver operating characteristic curve was used to analyze the predictive efficacy of the model for the ineffective treatment of children with GHD, and the area under the curve was calculated. Results A total of 86 children with GHD were included in this study, and 17 of them (19.77%) were ineffective. The effective group had higher values for bone age index, height standard deviation score, and BAP level than the ineffective group (all P<0.05). The results of the multivariate logistic regression analysis showed that the bone age index (OR=0.114, 95%CI: 0.021-0.620), height standard deviation score (OR=0.019, 95%CI: 0.002-0.185), and BAP level (OR=0.070, 95%CI: 0.009-0.544) were all factors influencing the ineffectiveness of treatment in children with GHD (all P<0.05). Using bone age index, height standard deviation score, and BAP level as predictive variables, a nomogram model was constructed. The calibration and goodness-of-fit of this model were both good. The receiver operating characteristic curve showed that the area under the curve of this model was 0.972 (95%CI: 0.931-1.000), with a sensitivity of 94.1% and a specificity of 97.1%. Conclusion Bone age index, height standard deviation score, and BAP level are all factors that affect the therapeutic effect of recombinant human growth hormone in children with GHD. The nomogram model can effectively predict the therapeutic effect and is helpful for guiding clinical practice.

Key words: Growth hormone deficiency,  , Recombinant human growth hormone,  , Clinical efficacy,  , Nomogram