在中度至重度的甲状腺眼病中预测甲状腺视觉神经病变:一种临床上适用的名ogram
Ruolin Hu1, Siqi Tang1, Xinyu Liu1
1Department of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Disease, The First Hospital of China Medical University, Shenyang, P.R. China.
European thyroid journal
|December 8, 2025
概括
这项研究确定了晚年,临床活性得分升高 (CAS),甘油三水平升高 (TG),视力功能低下 (VF) 和前肌瘤 (PTM) 作为状腺视神经病变 (DON) 的关键预测因素. 开发了一个预测性名谱,用于甲状腺眼病 (TED) 患者的早期风险分层.
科学领域:
- 眼科医生 眼科 眼科
- 内分泌学 在内分泌学.
- 临床预测建模临床预测建模
背景情况:
- 甲状腺视神经病变 (DON) 是甲状腺眼病 (TED) 的严重并发症,通常缺乏早期检测方法.
- 早期识别高风险TED患者的DON对于及时干预和管理至关重要.
研究的目的:
- 为了研究TED患者的临床特征,他们发展了DON.
- 建立一个预测模型,用于早期识别高风险的个人DON.
主要方法:
- 未来包括257名TED患者,分为导出和验证队列.
- 最小绝对收缩和选择操作员 (LASSO) 回归和后勤回归分析的应用.
- 确定临床因素并构建预测名ogram.
主要成果:
- 在TED患者中,26.5%的人 (257人中68人) 患有DON.
- 确定的显著预测因素包括年龄较大,高CAS,高TG,低VF和PTM.
- 开发的诺米图表表现出强大的预测性能,AUC分别为0.853和0.856在导出和验证队列中.
结论:
- 晚年,升高的CAS,增加的TG,较低的VF和PTM是TED中DON的重要预测因素.
- 拟议的名图表是风险分层的实用临床工具.
- 该工具有助于对DON进行个性化风险评估,及时进行治疗干预.
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