2023
DOI: 10.3390/diagnostics13172793
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Corneal Confocal Microscopy Predicts Cardiovascular and Cerebrovascular Events and Demonstrates Greater Peripheral Neuropathy in Patients with Type 1 Diabetes and Foot Ulcers

Jonathan Z. M. Lim,
Jamie Burgess,
Cheong Ooi
et al.

Abstract: Objective: In this study, we evaluate small and large nerve fibre pathology in relation to diabetic foot ulceration (DFU) and incident cardiovascular and cerebrovascular events in type 1 diabetes (T1D). Methods: A prospective observational study was conducted on people with T1D without diabetic peripheral neuropathy (DPN) (n = 25), T1D with DPN (n = 28), T1D with DFU (n = 25) and 32 healthy volunteers. ROC analysis of parameters was conducted to diagnose DPN and DFU, and multivariate Cox regression analysis wa… Show more

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Cited by 3 publications
(2 citation statements)
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“…Similar findings have been repeatedly reported in patients suffering from autonomic diabetic neuropathy 37 and in which the cornea has served as a sensor of the severity and the risk of cardiovascular events. In diabetic type 1, corneal nerve fibre metrics predicted incident cardiovascular and cerebrovascular events 38 , though mechanisms involving neuroimmune inflammation related to increased sympathetic activity within the vascular wall. In diabetic patients, corneal confocal imaging has been considered as a rapid, non-invasive, but also highly sensitive and specific for the diagnostic of autonomic diabetic neuropathy.…”
Section: Discussionmentioning
confidence: 98%
“…Similar findings have been repeatedly reported in patients suffering from autonomic diabetic neuropathy 37 and in which the cornea has served as a sensor of the severity and the risk of cardiovascular events. In diabetic type 1, corneal nerve fibre metrics predicted incident cardiovascular and cerebrovascular events 38 , though mechanisms involving neuroimmune inflammation related to increased sympathetic activity within the vascular wall. In diabetic patients, corneal confocal imaging has been considered as a rapid, non-invasive, but also highly sensitive and specific for the diagnostic of autonomic diabetic neuropathy.…”
Section: Discussionmentioning
confidence: 98%
“…11 It also identifies subclinical DPN 12 and predicts the development of clinical DPN 13 and DFU. 14 A one-stop-shop model which uses artificial intelligence-driven analysis of digital retinal fundus and corneal confocal microscopy images may enable rapid diagnosis of early diabetic retinopathy and neuropathy, respectively. In a pilot study in Manchester, 427 of 450 (94.9%) consecutive subjects with type 1 or type 2 diabetes attending for annual eye screening in primary care optometry settings successfully underwent CCM for the early diagnosis of DPN.…”
mentioning
confidence: 99%