Literature DB >> 33498918

Early Detection of Diabetic Peripheral Neuropathy: A Focus on Small Nerve Fibres.

Jamie Burgess1, Bernhard Frank2, Andrew Marshall3,4,5, Rashaad S Khalil1, Georgios Ponirakis6, Ioannis N Petropoulos6, Daniel J Cuthbertson1, Rayaz A Malik6,7, Uazman Alam1,8.   

Abstract

Diabetic peripheral neuropathy (DPN) is the most common complication of both type 1 and 2 diabetes. As a result, neuropathic pain, diabetic foot ulcers and lower-limb amputations impact drastically on quality of life, contributing to the individual, societal, financial and healthcare burden of diabetes. DPN is diagnosed at a late, often pre-ulcerative stage due to a lack of early systematic screening and the endorsement of monofilament testing which identifies advanced neuropathy only. Compared to the success of the diabetic eye and kidney screening programmes there is clearly an unmet need for an objective reliable biomarker for the detection of early DPN. This article critically appraises research and clinical methods for the diagnosis or screening of early DPN. In brief, functional measures are subjective and are difficult to implement due to technical complexity. Moreover, skin biopsy is invasive, expensive and lacks diagnostic laboratory capacity. Indeed, point-of-care nerve conduction tests are convenient and easy to implement however questions are raised regarding their suitability for use in screening due to the lack of small nerve fibre evaluation. Corneal confocal microscopy (CCM) is a rapid, non-invasive, and reproducible technique to quantify small nerve fibre damage and repair which can be conducted alongside retinopathy screening. CCM identifies early sub-clinical DPN, predicts the development and allows staging of DPN severity. Automated quantification of CCM with AI has enabled enhanced unbiased quantification of small nerve fibres and potentially early diagnosis of DPN. Improved screening tools will prevent and reduce the burden of foot ulceration and amputations with the primary aim of reducing the prevalence of this common microvascular complication.

Entities:  

Keywords:  diabetes; diabetic neuropathy; diabetic peripheral neuropathy; diagnostics; distal sensory polyneuropathy; early detection; neuropathy; peripheral neuropathy; point-of-care; screening

Year:  2021        PMID: 33498918      PMCID: PMC7911433          DOI: 10.3390/diagnostics11020165

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  284 in total

1.  European Federation of Neurological Societies/Peripheral Nerve Society Guideline on the use of skin biopsy in the diagnosis of small fiber neuropathy. Report of a joint task force of the European Federation of Neurological Societies and the Peripheral Nerve Society.

Authors:  G Lauria; S T Hsieh; O Johansson; W R Kennedy; J M Leger; S I Mellgren; M Nolano; I S J Merkies; M Polydefkis; A G Smith; C Sommer; J Valls-Solé
Journal:  Eur J Neurol       Date:  2010-07       Impact factor: 6.089

Review 2.  Vascular factors and metabolic interactions in the pathogenesis of diabetic neuropathy.

Authors:  N E Cameron; S E Eaton; M A Cotter; S Tesfaye
Journal:  Diabetologia       Date:  2001-11       Impact factor: 10.122

3.  The relationship among pain, sensory loss, and small nerve fibers in diabetes.

Authors:  Lea Sorensen; Lynda Molyneaux; Dennis K Yue
Journal:  Diabetes Care       Date:  2006-04       Impact factor: 19.112

4.  Intraepidermal nerve fibers are indicators of small-fiber neuropathy in both diabetic and nondiabetic patients.

Authors:  Gary L Pittenger; Madhumita Ray; Niculina I Burcus; Patricia McNulty; Baher Basta; Aaron I Vinik
Journal:  Diabetes Care       Date:  2004-08       Impact factor: 19.112

5.  C-fiber function assessed by the laser doppler imager flare technique and acetylcholine iontophoresis.

Authors:  Alistair Q Green; Singhan T Krishnan; Gerry Rayman
Journal:  Muscle Nerve       Date:  2009-12       Impact factor: 3.217

6.  Neuropad indicator test for diagnosis of sudomotor dysfunction in type 2 diabetes.

Authors:  Habib Bilen; Aysegul Atmaca; Gungor Akcay
Journal:  Adv Ther       Date:  2007 Sep-Oct       Impact factor: 3.845

7.  Evaluation of the self-administered indicator plaster neuropad for the diagnosis of neuropathy in diabetes.

Authors:  Nicholas Tentolouris; Vasilis Achtsidis; Kyriaki Marinou; Nicholas Katsilambros
Journal:  Diabetes Care       Date:  2007-11-19       Impact factor: 19.112

Review 8.  Management of neuropathy and foot problems in diabetic patients.

Authors:  Aaron I Vinik
Journal:  Clin Cornerstone       Date:  2003

9.  Reference Values and Influencing Factors Analysis for Current Perception Threshold Testing Based on Study of 166 Healthy Chinese.

Authors:  Hexiang Yin; Mingsheng Liu; Yicheng Zhu; Liying Cui
Journal:  Front Neurosci       Date:  2018-01-26       Impact factor: 4.677

10.  Evaluation of sural nerve automated nerve conduction study in the diagnosis of peripheral neuropathy in patients with type 2 diabetes mellitus.

Authors:  Georgia Chatzikosma; Kalliopi Pafili; Maria Demetriou; Konstantinos Vadikolias; Efstratios Maltezos; Nikolaos Papanas
Journal:  Arch Med Sci       Date:  2016-04-12       Impact factor: 3.318

View more
  10 in total

Review 1.  Diabetes Distal Peripheral Neuropathy: Subtypes and Diagnostic and Screening Technologies.

Authors:  Kelley Newlin Lew; Tracey Arnold; Catherine Cantelmo; Francky Jacque; Hugo Posada-Quintero; Pooja Luthra; Ki H Chon
Journal:  J Diabetes Sci Technol       Date:  2022-01-07

2.  Distal Sensory Peripheral Neuropathy: An Undervalued Determinant of Wellbeing.

Authors:  Joyce K Anastasi; Daniel K Devine; Bernadette Capili
Journal:  Health Educ Public Health       Date:  2021-10-28

3.  Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification.

Authors:  Fahmida Haque; Mamun Bin Ibne Reaz; Muhammad Enamul Hoque Chowdhury; Geetika Srivastava; Sawal Hamid Md Ali; Ahmad Ashrif A Bakar; Mohammad Arif Sobhan Bhuiyan
Journal:  Diagnostics (Basel)       Date:  2021-04-28

4.  Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes.

Authors:  Frank G Preston; Yanda Meng; Jamie Burgess; Maryam Ferdousi; Shazli Azmi; Ioannis N Petropoulos; Stephen Kaye; Rayaz A Malik; Yalin Zheng; Uazman Alam
Journal:  Diabetologia       Date:  2021-11-21       Impact factor: 10.122

5.  Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies.

Authors:  Fahmida Haque; Mamun B I Reaz; Muhammad E H Chowdhury; Serkan Kiranyaz; Sawal H M Ali; Mohammed Alhatou; Rumana Habib; Ahmad A A Bakar; Norhana Arsad; Geetika Srivastava
Journal:  Comput Intell Neurosci       Date:  2022-04-25

6.  Detecting Peripheral Neuropathy in Patients with Diabetes, Prediabetes and other High-Risk Conditions: An Advanced Practice Nurse's Perspective.

Authors:  Joyce K Anastasi; Bernadette Capili
Journal:  J Med Clin Nurs       Date:  2022-03-21

Review 7.  Prevention and Management Strategies for Diabetic Neuropathy.

Authors:  Sasha Smith; Pasha Normahani; Tristan Lane; David Hohenschurz-Schmidt; Nick Oliver; Alun Huw Davies
Journal:  Life (Basel)       Date:  2022-08-03

8.  The Outcome of Surgical Treatment for the Neuropathic Diabetic Foot Lesions-A Single-Center Study.

Authors:  Florin Bobirca; Catalin Gabriel Smarandache; Anca Bobirca; Cristina Alexandru; Dan Dumitrescu; Anca Pantea Stoian; Cristina Bica; Lacramioara Aurelia Brinduse; Anca Musetescu; Daniela-Elena Gheoca-Mutu; Sebastian Isac; Ioan Ancuta
Journal:  Life (Basel)       Date:  2022-07-29

9.  Supersonic shear wave imaging of the tibial nerve for diagnosis of diabetic peripheral neuropathy: A meta-analysis.

Authors:  Yuping Chen; Honghong Duan; Lichun Huang; Zhengrong Jiang; Huibin Huang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-02       Impact factor: 6.055

10.  Corneal confocal microscopy: A useful tool for diagnosis of small fiber neuropathy in type 2 diabetes.

Authors:  Yu Jin; Weimin Wang; Wei Chen; Simin Guo; Chenxi Li; Dalong Zhu; Yan Bi
Journal:  J Diabetes Investig       Date:  2021-07-17       Impact factor: 4.232

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.