在T2DM患者中预测多重下肢截肢的部分比例概率模型
Sabiha Khan1,2, Karuna Reddy3, Momtaz Ahmed4
1School of Information Technology, Engineering, Mathematics & Physics, The University of the South Pacific, Suva, Fiji. sabiha.khan@fnu.ac.fj.
确定糖尿病患者多重下肢截肢 (MLEA) 的危险因素至关重要. 一个部分比例赔率模型确定了年龄,性别,种族,高血压,贫血,白细胞和血栓细胞症作为斐济T2DM患者的关键预测因素.
科学领域:
- 糖尿病足并发症 糖尿病足并发症
- 截肢风险因素 截肢风险因素
- 在医疗保健中的统计建模.
背景情况:
- 多重下肢截肢 (MLEA) 对糖尿病患者来说比单次截肢带来更大的挑战.
- 准确识别MLEA风险因素对于糖尿病人群的预防至关重要.
研究的目的:
- 探索患有足部的糖尿病住院患者的人口和临床特征.
- 开发一种统计模型,用于识别2型糖尿病 (T2DM) 患者的MLEA风险因素.
主要方法:
- 一项横截面研究分析了来自斐济 (2016-2019) 为糖尿病足住院的1,972名T2DM患者的数据.
- 开发了一种部分比例赔率模型 (PPOM) 来预测顺序结果:没有截肢,初级截肢和MLEA.
- 对PPOM进行了验证,对比比例概率和多项逻辑回归模型进行验证.
主要成果:
- 该PPOM确定了MLEA的重大风险因素.
- 关键预测因素包括晚年,特定的性别和种族,高血压,贫血,白细胞病和血栓细胞病.
结论:
- 部分比例概率模型适用于确定斐济T2DM患者的MLEA风险因素.
- 调查结果可以为有针对性的干预措施提供信息,以减少截肢率.
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