开发和验证一个预测模型,以预测Graves型甲状腺功能障碍患者的生活质量受损
Juan Nie1, Yiqing Wang1, Yajing Mo1
1School of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu China.
Endocrine connections
|January 26, 2026
概括
他们的坟墓,坟墓.
科学领域:
- 内分泌学 在内分泌学.
- 生活质量研究 研究 生命质量研究
- 临床预测建模临床预测建模
背景情况:
- 格雷夫斯甲状腺功能障碍 (GH) 显著影响患者的生活质量 (QoL).
- 识别 QoL 损害的预测因素对于在临床环境中有效管理至关重要.
研究的目的:
- 确定与GH患者的QoL损伤相关的独立因素.
- 开发和验证一个临床名谱,用于预测在门诊环境下 QoL 损伤.
主要方法:
- 402名GH患者填写了调查问卷,评估了人口统计,生活质量 (ThyPRO-39),睡眠 (PSQI),抑郁 (HAMD) 和焦虑 (HAMA).
- 单变量和多变量分析确定了独立的预测因素.
- 使用AUC,校准图表和DCA.开发并验证了一个名图.
主要成果:
- 甲状腺眼病 (TED),,睡眠障碍,焦虑和抑郁症状独立预测了QOL损伤.
- 诺莫图实现了高的区分能力 (AUC 0.886培训,0.844验证).
- 诺米图表表现出良好的校准和临床实用性,并通过在线计算器进一步增强.
结论:
- 一个整合TED,,睡眠和情绪因素的诺米图可靠地识别高风险的高危患者.
- 这种工具对门诊机构有价值,有助于早期干预.
- 建议进行进一步的外部验证,以提高可通用性.
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