Objective: To analyze the influencing factors of toe-amputation in diabetic foot patients and construct a predictive model. Methods: The clinical data of 437 diabetic foot patients who were hospitalized in Air Force Medical Center from January 2017 to January 2024 were retrospectively analyzed, including 327 males and 110 females, with a median age[M(Q1,Q3)] of 63.0 (55.0, 69.0) years.The patients were divided into amputation group(n=344) and non-amputation group (n=93) according to whether toe-amputation surgery was performed within 3 months. The differences of clinical indicators between the two groups were analyzed.The patients were randomly divided into the training set and the validation set in a 7∶3 ratio using R 4.2. Multivariate logistic regression model was used to screen the influencing factors of toe-amputation in diabetic foot patients, and the nomogram of toe amputation prediction model was drawn. The predictive ability, accuracy and clinical applicability of the model were assessed using the area under the curve (AUC) of the receiver operating, calibration curve and decision curve analysis(DCA), respectively. Results: The patients in the toe amputation group had higher proportions of diabetes duration, lower extremity arterial disease (LEAD), white blood cell count, total bilirubin, fibrinogen, erythrocyte sedimentation rate, C-reactive protein level, and positive bacterial cultures in wound secretions compared to those in the non-toe amputation group. Conversely, the levels of high-density lipoprotein cholesterol, blood uric acid, the internal diameter and blood flow of dorsalis pedis artery were lower in the toe amputation group than those in the non-toe amputation group (all P<0.05). Multivariate logistic regression model analysis indicated that LEAD (OR=4.19,95%CI:1.88-9.34), blood uric acid (OR=0.99,95%CI:0.99-0.99), fibrinogen (OR=1.86,95%CI:1.19-2.91), and wound secretion culture positive for staphylococcus aureus (OR=5.77,95%CI:2.72-12.25) or non-staphylococcus aureus infection (OR=4.74,95%CI:1.43-15.77), were influencing factors of diabetic foot toe-amputations (all P<0.05). The prediction model of toe amputation in patients with diabetes foot was established using the above parameters. In the training set, the AUC, sensitivity and specificity of the prediction model for predicting toe amputation in diabetic foot patients were 0.86(95%CI:0.80-0.91)、90% and 72%, respectively. In the validation set, the AUC, sensitivity and specificity of the prediction model for predicting toe amputation in diabetic foot patients were 0.85(95%CI:0.78-0.92), 77% and 71%, respectively. The calibration curves of the training set and the validation set indicates that the model has good calibration ability. The DCA curve of the training set and the validation set suggests that the predictive model has good clinical applicability. Conclusions: LEAD, blood uric acid, fibrinogen, and positive bacterial culture of wound secretion are the influencing factors of diabetes toe amputation. The nomogram model including the above factors can evaluate the risk of diabetic foot amputation more intuitively.
目的: 分析糖尿病足患者截趾的影响因素,并构建预测模型。 方法: 回顾性分析2017年1月至2024年1月于空军特色医学中心住院的437例糖尿病足患者的临床资料,男327例,女110例,年龄[M(Q1,Q3)]为63.0(55.0,69.0)岁。根据3个月内是否行截趾手术分为截趾组(n=344)和非截趾组(n=93),分析两组各临床指标的差异。采用R 4.2随机将患者按照7∶3的比例分为训练集及验证集。采用多因素logistic回归模型筛选糖尿病足患者截趾影响因素,并绘制截趾预测模型列线图。分别采用受试者工作特征曲线下面积(AUC)、校准曲线和决策分析曲线(DCA)对模型的预测能力、准确性和临床适用性进行评估。 结果: 截趾组患者的糖尿病病程、下肢动脉粥样硬化性病变(LEAD)占比、白细胞计数、总胆红素、纤维蛋白原、红细胞沉降率、C-反应蛋白水平及创面分泌物培养细菌阳性占比均高于非截趾组,而高密度脂蛋白胆固醇、血尿酸水平、足背动脉血管内径、足背动脉血流量均低于非截趾组(均P<0.05)。多因素logistic回归模型分析结果显示,LEAD(OR=4.19,95%CI:1.88~9.34)、血尿酸(OR=0.99,95%CI:0.99~0.99)、纤维蛋白原(OR=1.86,95%CI:1.19~2.91)、创面分泌物培养金黄色葡萄球菌感染(OR=5.77,95%CI:2.72~12.25)或非金黄色葡萄球菌感染(OR=4.74,95%CI:1.43~15.77)是糖尿病足患者截趾的影响因素(均P<0.05)。使用上述参数建立糖尿病足患者发生截趾的预测模型。训练集中预测模型预测糖尿病足患者发生截趾的AUC、灵敏度、特异度分别为0.86(95%CI:0.80~0.91)、90%和72%;验证集中预测模型预测糖尿病足患者发生截趾的AUC、灵敏度、特异度分别为0.85(95%CI:0.78~0.92)、77%和71%。训练集与验证集校准曲线表明该模型具有较好的校准能力。训练集与验证集DCA提示预测模型具有良好的临床适用性。 结论: LEAD、血尿酸、纤维蛋白原、创面分泌物细菌培养阳性是糖尿病足截趾的影响因素,纳入上述因素的列线图模型可更直观地评价糖尿病足截趾的风险。.