Monteiro-Soares M, Dinis-Ribeiro M
CIDES/CINTESIS - Health Information and Decision Sciences Department, Oporto University Faculty of Medicine, Oporto, U753-FCT, Portugal.
Diabetes Metab Res Rev. 2016 May;32(4):429-35. doi: 10.1002/dmrr.2785. Epub 2016 Mar 8.
This study aimed to derive a new model to classify subjects with diabetes and active diabetic foot ulcer by their risk of lower extremity amputation.
A prospective cohort study was conducted that included all subjects with diabetic foot ulcer attending our Hospital Diabetic Foot Clinic from 2010 to 2013. Variables were collected at baseline. Subjects were followed up until healing, lower extremity amputation, death or for at least 3 months. Logistic regression was used to derive the new model, and the area under the receiver operating characteristic curve was assessed to propose the model with the greatest discrimination.
A total of 293 participants were included and followed for a median of 91 days. In 23.2% amputation was required, 5.1% died and 3.1% were lost. Our final model included the variables most commonly used in clinical practice for diabetic foot risk assessment (presence of neuropathy, foot deformity, peripheral arterial disease and previous foot complications) in addition to multiple diabetic foot ulcer, infection, gangrene and bone involvement. This model had an area under the receiver operating characteristic curve of 0.91 [95% confidence interval (CI) 0.87-0.95] and as classification of 0.89 (95% CI 0.84-0.93) for lower extremity amputation prediction. The high-risk group presented a positive likelihood ratio of 5 (95% CI 3-8) and predictive value of 58 (46-71). Only one minor lower extremity amputation occurred in the low-risk group.
We propose a new classification: diabetic foot risk assessment (DIAFORA). This classification was equally or more accurate for lower extremity amputation prediction in diabetic foot ulcer patients when compared with the existing ones.
本研究旨在建立一种新模型,根据糖尿病患者和患有活动性糖尿病足溃疡患者的下肢截肢风险对其进行分类。
进行了一项前瞻性队列研究,纳入了2010年至2013年在我院糖尿病足门诊就诊的所有糖尿病足溃疡患者。在基线时收集变量。对患者进行随访,直至伤口愈合、下肢截肢、死亡或至少随访3个月。采用逻辑回归建立新模型,并评估受试者工作特征曲线下面积,以提出具有最大区分度的模型。
共纳入293名参与者,中位随访时间为91天。23.2%的患者需要截肢,5.1%的患者死亡,3.1%的患者失访。我们的最终模型除了纳入多个糖尿病足溃疡、感染、坏疽和骨质受累外,还包括临床实践中最常用于糖尿病足风险评估的变量(神经病变、足部畸形、外周动脉疾病和既往足部并发症)。该模型的受试者工作特征曲线下面积为0.91[95%置信区间(CI)0.87 - 0.95],对下肢截肢预测的分类准确率为0.89(95%CI 0.84 - 0.93)。高危组的阳性似然比为5(95%CI 3 - 8),预测值为58(46 - 71)。低风险组仅发生1例轻度下肢截肢。
我们提出了一种新的分类方法:糖尿病足风险评估(DIAFORA)。与现有分类方法相比,该分类方法在预测糖尿病足溃疡患者下肢截肢方面同样准确或更准确。