良性前列腺增生患者组织炎症的预测因素:临床预测研究
Hua Luo1, Gaoyuan Liao1, Xiaobo Wang1
1Department of Urology, Deyang Hospital of Sichuan Provincial People's Hospital, Chengdu, China.
Urologia internationalis
|August 18, 2024
概括
一个新的模型使用前列腺体积,禁食血糖和化来预测患有良性前列腺增生症 (BPH) 的男性的前列腺炎症. 这种工具有助于早期检测和有针对性的治疗,以改善患者的治疗结果.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 医疗信息学 医疗信息学
背景情况:
- 良性前列腺增生 (BPH) 是老年男性常见的疾病.
- 前列腺炎症显著影响BPH进展和症状.
研究的目的:
- 开发BPH患者前列腺炎症的预测模型.
- 确定与前列腺炎症相关的关键临床因素.
主要方法:
- 对137名BPH患者进行了回顾性队列研究.
- 在模型开发中使用多变量逻辑回归和LASSO回归.
- 使用ROC曲线,校准图和DCA.评估模型性能.
主要成果:
- 前列腺体积 (PV),禁食血糖 (FBG) 和前列腺化被确定为关键预测因素.
- 开发的诺摩图表显示出强大的预测准确性和临床实用性.
- 炎症的发生率:9.49%没有,22.63%轻度,47.45%中度,20.44%严重.
结论:
- 纳入PV,FBG和前列腺化的诺莫图准确预测BPH的前列腺炎症.
- 该工具支持早期干预和个性化治疗策略.
- 为了更广泛的临床应用,建议在不同人群中进一步验证.
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