在2型糖尿病患者中预测胃衰竭的风险因子分析和名图
Hai-Liang Yuan1,2, Xian Zhang3, Wei-Wei Chu1
1Department of Gastroenterology, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China.
Heliyon
|February 23, 2024
概括
这项研究确定了2型糖尿病 (T2DM) 患者中胃衰竭的关键风险因素. 开发了一种预测性诺莫格拉姆模型,在识别患有这种常见糖尿病并发症风险的个体方面表现出高准确性.
科学领域:
- 内分泌学 在内分泌学.
- 胃肠病学 胃肠病学
- 临床预测建模临床预测建模
背景情况:
- 胃衰竭在2型糖尿病 (T2DM) 患者中比在一般人群中更为普遍.
- 识别患有胃衰竭风险的T2DM患者对于及时干预和管理至关重要.
研究的目的:
- 调查与T2DM患者的胃衰竭相关的危险因素.
- 开发和验证T2DM中胃衰竭的临床预测模型 (名图).
主要方法:
- 从两个医疗中心招募了694名T2DM患者的队列.
- 后勤回归分析用于识别风险因素,其次是名ogram构造.
- 用AUC,校准曲线和决策曲线分析 (DCA) 来评估模型性能.
主要成果:
- 年龄,定期炼,糖化血红蛋白 (HbA1c) 和Helicobacter pylori感染被确定为重要的危险因素.
- 诺米图表表现出了出色的预测性能,AUC为0.951 (训练),0.910 (内部验证) 和0.875 (外部验证).
- 校准和DCA证实了该模型的良好预测准确性和临床实用性.
结论:
- 一个经过验证的诺莫格拉姆模型有效地预测T2DM患者的胃衰竭风险.
- 该模型包含可访问的临床变量,用于在患者护理中的实际应用.
- 这种工具可以帮助临床医生在T2DM中早期识别和管理胃衰竭.
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