May Jonathan David, Morris Matthew William John
Speciality Registrar 6 Trauma and Orthopaedics, Sheffield Teaching Hospitals, Chesterfield Royal Foundation Hospital Trust, United Kingdom.
Consultant Orthopaedic and Trauma Surgeon, Special Interest in Foot and Ankle surgery, Chesterfield Royal Foundation Hospital Trust, United Kingdom.
Foot Ankle Surg. 2017 Dec;23(4):281-284. doi: 10.1016/j.fas.2016.08.004. Epub 2016 Aug 21.
In the current United Kingdom population the incidence of diabetic peripheral neuropathy is increasing. The presence of diabetic neuropathy affects decision making and treatment options. This study seeks to evaluate if the vibrations generated from a mobile phone can be used to screen patients for diabetic peripheral neuropathy.
This study comprised of 61 patients; a control group of 21 patients; a lower limb injury group of 19 patients; a diabetic peripheral neuropathy group of 21 patients. The control and injury group were recruited randomly from fracture clinics. The diabetic peripheral neuropathy group were randomly recruited from the diabetic foot clinic. The 61 patients were examined using a 10g Semmes-Weinstein monofilament, a 128Hz tuning fork and a vibrating mobile phone. The points tested were, index finger, patella, lateral malleoli, medial malleoli, heel, first and fifth metatarsal heads.
The most accurate location of all the clinical tests was the head of the 1st metatarsal at 0.86. The overall accuracy of the tuning fork was 0.77, the ten gram monofilament 0.79 and the mobile phone accuracy was 0.88. The control group felt 420 of 441 tests (95%). The injury group felt 349 of 399 tests (87%). The neuropathic group felt 216 of 441 tests (48%). There is a significant difference in the number of tests felt between the control and both the injury and neuropathic groups. p<0.0001 using N-1 Two Proportion Test.
A mobile phone is an accurate screening tool for diabetic peripheral neuropathy. The most accurate location to test for diabetic peripheral neuropathy is the head of the 1st metatarsal. Screening for diabetic peripheral neuropathy in the index finger and patella were inaccurate. An injury to the lower limb affects the patient's vibration sensation, we would therefore recommend screening the contralateral limb to the injury.
This study represents level II evidence of a new diagnostic investigation.
在当前英国人群中,糖尿病周围神经病变的发病率正在上升。糖尿病神经病变的存在会影响决策和治疗选择。本研究旨在评估手机产生的振动是否可用于筛查糖尿病周围神经病变患者。
本研究包括61名患者;21名患者的对照组;19名患者的下肢损伤组;21名患者的糖尿病周围神经病变组。对照组和损伤组从骨折诊所随机招募。糖尿病周围神经病变组从糖尿病足诊所随机招募。使用10g Semmes-Weinstein单丝、128Hz音叉和振动手机对61名患者进行检查。测试部位为食指、髌骨、外踝、内踝、足跟、第一和第五跖骨头。
所有临床测试中最准确的部位是第一跖骨头,准确率为0.86。音叉的总体准确率为0.77,10克单丝为0.79,手机的准确率为0.88。对照组在441次测试中有420次有感觉(95%)。损伤组在399次测试中有349次有感觉(87%)。神经病变组在441次测试中有216次有感觉(48%)。对照组与损伤组和神经病变组之间有感觉的测试次数存在显著差异。使用N-1双比例检验,p<0.0001。
手机是糖尿病周围神经病变的一种准确筛查工具。检测糖尿病周围神经病变最准确 的部位是第一跖骨头。在食指和髌骨处筛查糖尿病周围神经病变不准确。下肢损伤会影响患者的振动感觉,因此我们建议对损伤对侧肢体进行筛查。
本研究代表了一项新诊断研究的II级证据。