在绝经后骨质疏松症风险预测模型中血清尿酸的值
Bingquan Li1, Yongheng Ye1, Jianfeng Li2
1Zhuhai People's Hospital, Zhuhai Clinical Medical College of Jinan University, 79 Kangning Road, Zhuhai, 519000, Guangdong, China.
Archives of gynecology and obstetrics
|August 9, 2025
概括
血清尿酸 (UA) 可能有助于预测更年期后骨质疏松症 (PMOP) 风险,当与白蛋白,性酸酶和单细胞与淋巴细胞的比率相结合时. 一个名图模型显示了早期PMOP查的中度预测性能.
科学领域:
- 内分泌学和新陈代谢学
- 骨健康研究 骨健康研究
- 生物标志物发现发现
背景情况:
- 绝经后骨质疏松症 (PMOP) 构成了重大的健康挑战,需要有效的风险分层工具.
- 早期识别有PMOP高风险的个体对于及时干预和预防至关重要.
研究的目的:
- 评估血清尿酸 (UA) 在评估PMOP风险中的作用.
- 为早期PMOP查和诊断开发一种可访问的基于名录的预测模型.
主要方法:
- 对295名绝经后妇女进行了回顾性分析,根据DXAT分数将她们分为PMOP和对照组.
- 后勤回归分析以确定独立的风险因素,包括血清UA,白蛋白 (ALB),性酸酶 (ALP) 和单细胞对淋巴细胞比率 (MLR).
- 构建和验证使用ROC曲线和C指数进行预测性绩效评估的nomogram.
主要成果:
- 与对照组相比,PMOP组的年龄,ALP和MLR都较高,但ALB和血清UA水平较低.
- 一个包含ALB,ALP,MLR和UA的多变量模型显示AUC为0.781.1.
- 诺米图表表现出良好的校准和0.779的C指数,这表明预测能力中等.
结论:
- 血清尿酸与ALB,ALP和MLR一起,可以促进PMOP风险分层.
- 开发的nomogram为早期PMOP风险评估提供了一个有前途的工具.
- 建议进行进一步的大规模前性研究,以验证和完善模型,考虑生活方式因素.
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