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基于Nomogram的模型准确地预测了轴性脊柱关节炎的疾病爆发

Lianjie Wang Apipu Thitidechnisa^1,2,3,4, Yifang Wei^2,4, Jing Chen^1,3,4

¹Department of Rheumatology and Immunology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350000, China.

Journal of back and musculoskeletal rehabilitation

|March 14, 2025

概括

一种新的名图模型准确地预测了轴性脊柱关节炎 (axSpA) 在低疾病活性患者中的爆发. 这种工具可以提高预测的准确性,特别是医学生,提高临床管理.

科学领域:

类风湿病学类风湿病学
临床预测建模模型

背景情况:

预测轴性脊柱关节炎 (axSpA) 爆发的临床经验往往是不准确的.
一个经过验证的名ogram模型可能会提供更好的预测能力.

研究的目的:

评估一个名目录预测模型对预测axSpA疾病爆发的有效性.
为了比较Nomogram模型的预测性能与类风湿病学家和医学学生的临床经验.

主要方法:

满足 axSpA 标准且疾病活性较低 (ASDAS ≤2.1) 的患者被监测了 12 个月.
调查人员使用了名谱模型和临床判断来预测疾病爆发.
在方法和参与者群体之间比较了预测准确度,灵敏度,特异性和尤登指数.

主要成果:

风湿病学家在临床经验的预测性表现略低,但在统计学上并不显著,与诺莫格拉姆模型相比.
医学专业的学生在使用临床经验与诺莫格拉姆模型 (P <0.05) 之间显示出明显较低的预测准确性.

结论:

诺莫格拉姆预测模型是有效的预测缓解和发作在 axSpA 患者低疾病活性.
该模型显示出良好的临床实用性和可用性,显著提高医学学生的预测准确性.

关键词:

轴性脊椎关节炎 (axSpA) 是一种临床经验与模型相比.疾病活动评分 (ASDAS)疾病爆发预测预测诺莫格拉姆预测模型预测模型

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