开发和验证用于预测非透析慢性病患者的高血
Xianhui Zhao1, Caiyun Zheng2, Qitong Su1
1Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
BMC nephrology
|September 2, 2025
概括
这项研究开发了一种预测模型,用于识别患有慢性病 (CKD) 的高风险患者. 该模型准确预测血清酸盐水平升高,有助于针对性干预,以改善患者的治疗结果.
科学领域:
- 肝脏病学
- 生物化学
- 医疗信息学
背景情况:
- 血清酸盐的升高是慢性病 (CKD) 的重要死亡风险因素.
- 在非透析的慢性病患者中,高血是常见的并发症.
- 识别风险因素对于治疗慢性病并发症至关重要.
研究的目的:
- 在非透析的慢性病患者中确定超血的独立危险因素.
- 开发和验证高血症风险评估的预测模型.
- 改善慢性病的临床管理和患者预后.
主要方法:
- 对216名非透析慢性病患者的数据进行了回顾性分析.
- 用于预测选的最小绝对收缩和选择操作员回归 (LASSO).
- 用于风险预测的多变量逻辑回归和名图构造.
- 使用C指数,ROC曲线,校准和决策曲线分析进行内部验证.
主要成果:
- 在62. 04%的研究队列中观察到高血症.
- 发现了独立的预测因子:血红蛋白,血尿,血清肌和副甲状腺激素.
- 开发的诺米图表显示出高预测准确度 (C指数=0. 916) 和辨别能力 (验证组中的AUC=0. 953).
结论:
- 一个经过验证的脑图可以准确地识别患有性病的高风险患者.
- 该模型有助于前性监测和有针对性的预防性干预.
- 个性化风险评估可以导致定制治疗策略和改善长期预后.
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