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动态风险分层在儿科分化型甲状腺癌中的验证。

Validation of dynamic risk stratification in pediatric differentiated thyroid cancer.

机构信息

Department of Endocrinology and Metabolism, Seonam University, Myongji Hospital, Goyang, Korea.

Division of Endocrinology and Metabolism, Department of Medicine, Thyroid Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

出版信息

Endocrine. 2017 Oct;58(1):167-175. doi: 10.1007/s12020-017-1381-7. Epub 2017 Aug 18.

Abstract

PURPOSE

There has been increasing interest in a risk-adopted management strategy known as dynamic risk stratification following the revised American Thyroid Association guidelines for differentiated thyroid cancer. We aimed to evaluate the usefulness of dynamic risk stratification for predicting structural disease in pediatric differentiated thyroid cancer patients.

METHODS

We retrospectively reviewed 130 pediatric differentiated thyroid cancer patients (≤19 years) who were treated between 1996 and 2015 at Samsung Medical Center. Patients were stratified according to three American Thyroid Association initial risk group (low, intermediate, or high risk) and four dynamic risk stratification group (excellent, indeterminate, biochemical incomplete, or structural incomplete).

RESULTS

Based on dynamic risk stratification strategy, structural disease was identified 3.9% in the excellent group, 9.7% in the indeterminate group, 76.9% in the biochemical incomplete group, and 100% in the structural incomplete group. The hazard ratios of the structural disease were 18.10 (P < 0.001) in the biochemical incomplete group, and 19.583 (P < 0.001) in the structural incomplete group compared to the excellent group. The prevalence of structural disease also increased as American Thyroid Association initial risk classification increased (5.9% in the low-risk group, 13.6% in the intermediate-risk group, and 45% in the high-risk group). The hazard ratios of structural disease in the high-risk group was 10.296 (P < 0.001) in compared to the low-risk group.

CONCLUSION

Dynamic risk stratification based on patient responses to initial therapy was able to effectively predict the risk of structural disease in a pediatric population, and as a follow-up strategy, may work as well in pediatric differentiated thyroid cancer patients as it does in adult differentiated thyroid cancer patients.

摘要

目的

随着美国甲状腺协会修订的分化型甲状腺癌指南的发布,人们对一种名为动态风险分层的风险适应管理策略越来越感兴趣。我们旨在评估动态风险分层在预测儿科分化型甲状腺癌患者结构性疾病中的作用。

方法

我们回顾性分析了 1996 年至 2015 年在三星医疗中心接受治疗的 130 例儿科分化型甲状腺癌患者(≤19 岁)。根据美国甲状腺协会的初始风险分组(低危、中危或高危)和四项动态风险分层组(优秀、不确定、生化不完全和结构不完全)对患者进行分层。

结果

根据动态风险分层策略,在优秀组中发现结构性疾病的比例为 3.9%,不确定组为 9.7%,生化不完全组为 76.9%,结构不完全组为 100%。与优秀组相比,生化不完全组结构性疾病的危险比为 18.10(P<0.001),结构不完全组为 19.583(P<0.001)。随着美国甲状腺协会初始风险分类的增加,结构性疾病的患病率也有所增加(低危组为 5.9%,中危组为 13.6%,高危组为 45%)。与低危组相比,高危组结构性疾病的危险比为 10.296(P<0.001)。

结论

基于患者对初始治疗反应的动态风险分层能够有效预测儿科人群结构性疾病的风险,作为一种随访策略,在儿科分化型甲状腺癌患者中的效果可能与成人分化型甲状腺癌患者相同。

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