建立和验证妊娠糖尿病的预测模型
Xia Wang1,2, Caidie He1,3, Nian Wu1,3
1School of Public Health, Zunyi Medical University, Zunyi, China.
Diabetes, obesity & metabolism
|December 11, 2023
概括
这项研究使用人口统计,生活方式和环境因素开发了妊娠期糖尿病 (GD) 的视觉预测模型. 该模型有效预测孕妇GD风险,有助于早期检测和管理.
科学领域:
- 产科和妇科 产科和妇科
- 内分泌学 在内分泌学.
- 环境健康 环境健康
背景情况:
- 妊娠期糖尿病 (GD) 对母亲和胎儿的健康构成风险.
- 早期预测和管理GD对于改善结果至关重要.
- 现有的预测工具可能无法完全纳入环境因素.
研究的目的:
- 开发一个妊娠糖尿病 (GD) 的视觉预测模型.
- 建立一个有效和实用的临床工具,用于GD预测.
- 确定GD的关键预测因素,包括环境因素.
主要方法:
- 利用Zunyi和武汉出生队伍的数据进行模型开发和验证.
- 采用后勤回归和最小绝对收缩和选择 (lasso) 来识别独立的预测因素.
- 使用已识别的预测因素构建了人口-生活方式因素模型 (DLFM) 和人口-生活方式-环境污染因素模型 (DLEFM).
主要成果:
- DLEFM确定了糖尿病的家族史,以前的GD,超重/肥胖,高血压,久坐时间和甲酸盐暴露作为预测因素.
- 在内部验证中,DLEFM显示出与DLFM (AUC=0.783) 相比的优异预测性能 (AUC=0.827).
- 在DLEFM中,校准曲线表明预测和观察到的GD风险之间有很好的一致性.
结论:
- 基于预先构想的因素开发了一个名图,用于预测GD.
- DLEFM为早期GD预测和及时的临床管理提供了有效的工具.
- 结合环境因素可以提高GD预测的准确性.
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