Che Dehui, Jiang Zhengwan, Xiang Xinjian, Zhao Lingling, Liu Xie, Zhou Bingru, Xie Juan, Li Honghong, Lv Yang, Cao Dongsheng
The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
The Second People's Hospital of Hefei, Hefei, China.
Endocrine. 2024 Jul;85(1):181-189. doi: 10.1007/s12020-024-03704-8. Epub 2024 Feb 8.
Investigating risk factors for amputation in patients with diabetic foot ulcer (DFU) and developing a nomogram prediction model.
We gathered case data of DFU patients from five medical institutions in Anhui Province, China. Following eligibility criteria, a retrospective case-control study was performed on data from 526 patients.
Among the 526 patients (mean age: 63.32 ± 12.14), 179 were female, and 347 were male; 264 underwent amputation. Univariate analysis identified several predictors for amputation, including Blood type-B, Ambulation, history of amputation (Hx. Of amputation), Bacterial culture-positive, Wagner grade, peripheral arterial disease (PAD), and laboratory parameters (HbA1c, Hb, CRP, ALB, FIB, PLT, Protein). In the multivariate regression, six variables emerged as independent predictors: Blood type-B (OR = 2.332, 95%CI [1.488-3.657], p < 0.001), Hx. Of amputation (2.298 [1.348-3.917], p = 0.002), Bacterial culture-positive (2.490 [1.618-3.830], p <0.001), Wagner 3 (1.787 [1.049-3.046], p = 0.033), Wagner 4-5 (4.272 [2.444-7.468], p <0.001), PAD (1.554 [1.030-2.345], p = 0.036). We developed a nomogram prediction model utilizing the aforementioned independent risk factors. The model demonstrated a favorable predictive ability for amputation risk, as evidenced by its area under the receiver operating characteristics (ROC) curve of 0.756 and the well-fitted corrected nomogram calibration curve.
Our findings underscore Blood type-B, Hx. Of amputation, Bacterial culture-positive, Wagner 3-5, and PAD as independent risk factors for amputation in DFU patients. The resultant nomogram exhibits substantial accuracy in predicting amputation occurrence. Timely identification of these risk factors can reduce DFU-related amputation rates.
研究糖尿病足溃疡(DFU)患者截肢的危险因素并建立列线图预测模型。
我们收集了来自中国安徽省五家医疗机构的DFU患者的病例数据。根据纳入标准,对526例患者的数据进行了回顾性病例对照研究。
在526例患者(平均年龄:63.32±12.14)中,女性179例,男性347例;264例行截肢术。单因素分析确定了几个截肢的预测因素,包括B型血、行走能力、截肢史、细菌培养阳性、Wagner分级、外周动脉疾病(PAD)和实验室参数(糖化血红蛋白、血红蛋白、C反应蛋白、白蛋白、纤维蛋白原、血小板、蛋白质)。在多因素回归分析中,六个变量成为独立预测因素:B型血(OR = 2.332,95%CI [1.488 - 3.657],p < 0.001)、截肢史(2.298 [1.348 - 3.917],p = 0.002)、细菌培养阳性(2.490 [1.618 - 3.830],p < 0.001)、Wagner 3级(1.787 [1.049 - 3.046],p = 0.033)、Wagner 4 - 5级(4.272 [2.444 - 7.468]),p < 0.001)、PAD(1.554 [1.030 - 2.345],p = 0.036)。我们利用上述独立危险因素建立了列线图预测模型。该模型对截肢风险显示出良好的预测能力,其受试者工作特征(ROC)曲线下面积为0.756,校正后的列线图校准曲线拟合良好。
我们的研究结果强调B型血、截肢史、细菌培养阳性、Wagner 3 - 5级和PAD是DFU患者截肢的独立危险因素。所得列线图在预测截肢发生方面具有较高的准确性。及时识别这些危险因素可降低与DFU相关的截肢率。