开发一种临床名谱来预测膝关节骨关节炎患者的药物不服药情况
Qingzhu Zhang1, Jianhui Li2, Yinhui Yao3
1Department of Orthopedics, The Affiliated Hospital of Chengde Medical University, Chengde, China.
Medicine
|August 6, 2023
概括
在膝关节骨关节炎 (KOA) 患者中,不服药是常见的. 一个新的名ogram模型有效地预测了不坚持的风险,识别了早期干预的年龄和并发症等因素.
科学领域:
- 整形外科 整形外科 整形外科
- 老年病的医生 老年病的医生
- 药理学 药理学是指药理学的学科.
背景情况:
- 膝关节关节炎 (KOA) 是一种普遍的退行性骨疾病,影响老年人.
- 药物坚持对于管理KOA和改善患者预后至关重要.
- 识别不遵守风险因素对于有针对性的干预措施至关重要.
研究的目的:
- 分析与KOA患者药物不服药相关的高风险因素.
- 构建和验证KOA中药物不服药的诺米克风险预测模型.
- 帮助临床医生在早期识别和干预非粘附性KOA患者.
主要方法:
- 对236名KOA住院患者的临床数据进行回顾性分析 (2020年1月至2022年1月).
- 使用中国8项莫里斯基尺度评估药物坚持.
- 通过LASSO和后勤回归确定了高风险因素;构建和验证了名录模型 (bootstrap,C指数,AUC).
主要成果:
- 在KOA患者中,药物不服药率为55.08%.
- 七个因素显著预测了不遵守:年龄,潜在疾病,糖尿病,年龄调整的查尔森并发症指数 (aCCI),支付方式,止痛药使用和传统中医药使用.
- 诺米图实现了很高的预测准确性 (C指数和AUC=0.935).
结论:
- 一个经过验证的诺莫格拉姆模型有效地预测了KOA患者的药物不服药风险.
- 该模型有助于早期识别高风险个体,以进行个性化干预.
- 该工具支持临床决策,以改善KOA的管理和结果.
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