Small Nerve Fiber Quantification in the Diagnosis of Diabetic Sensorimotor Polyneuropathy: Comparing Corneal Confocal Microscopy With Intraepidermal Nerve Fiber Density

Author:

Chen Xin1,Graham Jim1,Dabbah Mohammad A.1,Petropoulos Ioannis N.23,Ponirakis Georgios23,Asghar Omar23,Alam Uazman23,Marshall Andrew4,Fadavi Hassan23,Ferdousi Maryam23,Azmi Shazli23,Tavakoli Mitra23,Efron Nathan5,Jeziorska Maria23,Malik Rayaz A.23

Affiliation:

1. Centre for Imaging Sciences, Institute of Population Health, University of Manchester, Manchester, U.K.

2. Centre for Endocrinology and Diabetes, Institute of Human Development, Manchester Academic Health Science Centre, Manchester, U.K.

3. Division of Medicine, Weill Cornell Medical College in Qatar, Doha, Qatar

4. Department of Clinical Neurophysiology, Central Manchester NHS Foundation Trust, Manchester, U.K.

5. Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia

Abstract

OBJECTIVE Quantitative assessment of small fiber damage is key to the early diagnosis and assessment of progression or regression of diabetic sensorimotor polyneuropathy (DSPN). Intraepidermal nerve fiber density (IENFD) is the current gold standard, but corneal confocal microscopy (CCM), an in vivo ophthalmic imaging modality, has the potential to be a noninvasive and objective image biomarker for identifying small fiber damage. The purpose of this study was to determine the diagnostic performance of CCM and IENFD by using the current guidelines as the reference standard. RESEARCH DESIGN AND METHODS Eighty-nine subjects (26 control subjects and 63 patients with type 1 diabetes), with and without DSPN, underwent a detailed assessment of neuropathy, including CCM and skin biopsy. RESULTS Manual and automated corneal nerve fiber density (CNFD) (P < 0.0001), branch density (CNBD) (P < 0.0001) and length (CNFL) (P < 0.0001), and IENFD (P < 0.001) were significantly reduced in patients with diabetes with DSPN compared with control subjects. The area under the receiver operating characteristic curve for identifying DSPN was 0.82 for manual CNFD, 0.80 for automated CNFD, and 0.66 for IENFD, which did not differ significantly (P = 0.14). CONCLUSIONS This study shows comparable diagnostic efficiency between CCM and IENFD, providing further support for the clinical utility of CCM as a surrogate end point for DSPN.

Funder

National Institutes of Health

Juvenile Diabetes Research Foundation International

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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