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一种用于预测2型糖尿病患者膀功能障碍的诺莫грам:一项回顾性研究
Yingjie Hu1,2, Fengming Hao3, Ying Wang1,2
1Department of Nursing, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China.
PeerJ
|January 27, 2025
概括
在2型糖尿病 (T2DM) 患者中,糖尿病膀功能障碍 (DBD) 现在可以使用新的诺米图进行预测. 该工具识别了关键的风险因素,使得早期评估和干预能够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
- 内分泌学 在内分泌学.
- 医疗信息学 医疗信息学
背景情况:
- 糖尿病膀功能障碍 (DBD) 是2型糖尿病患者 (T2DM) 的常见并发症.
- 它显著影响生活质量,增加医疗保健成本.
- 由于缺乏有效的工具,对DBD的早期预测具有挑战性.
研究的目的:
- 在T2DM患者中确定DBD的独立风险因素.
- 开发和验证用于临床应用的预测性名谱.
主要方法:
- 对1,010名T2DM患者进行了回顾性研究.
- 两变量分析和多变量逻辑回归以确定风险因素.
- 使用ROC曲线,校准图表,DCA和CIC进行诺摩图构造和验证.
主要成果:
- 确定了HbA1c,PCP-2h,DPN,TCO2,PAB,T-Bil,I-Bil,Ige,URBC,UI和UR作为DBD的独立风险因素.
- 开发了一种具有强大的预测性能 (AUC 0.897培训,0.862验证) 的名图.
- 通过验证分析证明了高临床效用和一致性.
结论:
- 在T2DM患者中开发了一种经过验证的DBD预测名录.
- 诺米图表显示出高准确性和临床实用性,用于早期风险评估.
- 这种工具可以帮助制定DBD的及时干预策略.
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