Khalaf Kinda, Al-Angari Haitham M, Khandoker Ahsan H, Lee Sungmun, Almahmeed Wael, Al Safar Habiba S, Jelinek Herbert F
Department of Biomedical Engineering, Khalifa University, Abu Dhabi, Po Box 127788, United Arab Emirates.
Khalifa University Center of Biotechnology, Abu Dhabi, United Arab Emirates.
Gait Posture. 2017 Oct;58:72-77. doi: 10.1016/j.gaitpost.2017.07.109. Epub 2017 Jul 21.
Diabetic foot, one of the most common and debilitating manifestations of type 2 diabetes mellitus (T2DM), is the leading cause of worldwide non-traumatic lower extremity amputations. Diabetics who are at risk of ulceration are currently mainly identified by a thorough clinical examination of the feet, which typically does not show clear symptoms during the early stages of disease progression. In this study, we used a non-linear dynamics tool, gait entropy (GaitEN), in addition to traditional linear gait analysis methods, to investigate gait alterations amongst diabetic patients with combinations of three types of T2DM related complications: retinopathy, diabetic peripheral neuropathy (DPN) and nephropathy. Peak plantar pressure (PPP) was not significantly different in the group with DPN as compared to the control group (diabetics with no complications, CONT) in the forefoot region (DPN: mean±SD: 396±69.4kPa, CONT: 409±68.9kPa), although it was significantly lower in the heel region (DPN: mean±SD: 285±43.1.4kPa, CONT: 295±61.8kPa). On the other hand, gait entropy was significantly lower for the DPN compared to CONT group (DPN: 0.95±0.34, CONT: 1.03±0.28, p<0.05). The significant low entropy was maintained when neuropathy was combined with either retinopathy or nephropathy. For the group with all three complications (ALL-C), the entropy was higher than CONT (ALL-C: 1.07±0.26). This may indicate an intrinsic sensorimotor feedback mechanism for the DPN patients to regulate their gait. However, this feedback gets weaker as patients develop multiple complications. Further analysis with longer walking time and different speeds is needed to verify the entropy results.
糖尿病足是2型糖尿病(T2DM)最常见且使人衰弱的表现之一,是全球非创伤性下肢截肢的主要原因。目前,有溃疡风险的糖尿病患者主要通过对足部进行全面的临床检查来识别,而在疾病进展的早期阶段通常没有明显症状。在本研究中,我们除了使用传统的线性步态分析方法外,还使用了一种非线性动力学工具——步态熵(GaitEN),来研究患有三种与T2DM相关并发症(视网膜病变、糖尿病周围神经病变(DPN)和肾病)组合的糖尿病患者的步态改变。与对照组(无并发症的糖尿病患者,CONT)相比,DPN组在前足区域的峰值足底压力(PPP)没有显著差异(DPN:平均值±标准差:396±69.4kPa,CONT:409±68.9kPa),尽管在足跟区域显著较低(DPN:平均值±标准差:285±43.1.4kPa,CONT:295±61.8kPa)。另一方面,与CONT组相比,DPN组的步态熵显著较低(DPN:0.95±0.34,CONT:1.03±0.28,p<0.05)。当神经病变与视网膜病变或肾病合并时,显著的低熵状态得以维持。对于患有所有三种并发症的组(ALL-C),熵高于CONT组(ALL-C:1.07±0.26)。这可能表明DPN患者存在一种内在的感觉运动反馈机制来调节他们的步态。然而,随着患者出现多种并发症,这种反馈会变弱。需要进一步分析更长的行走时间和不同速度来验证熵的结果。