ArticleNPJ Parkinson's disease2022
Corneal confocal microscopy differentiates patients with Parkinson's disease with and without autonomic involvement.
Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Corneal nerve imaging in systemic neuropathy: A minireview of experimental and precision medicine applications.World journal of experimental medicine · 2026Review
- Cornea Nerves Can Identify Different Types of Parkinson's Disease.Investigative ophthalmology & visual science · 2025Article
- Corneal confocal microscopy differentiates patients with secondary parkinsonism from idiopathic Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Cornea Oculomics: A Clinical Blueprint for Extending Corneal Diagnostics and Artificial Intelligence in Systemic Health Insights.Diagnostics (Basel, Switzerland) · 2025Review
- Corneal confocal microscopy may help to distinguish Multiple System Atrophy from Parkinson's disease.NPJ Parkinson's disease · 2024Article
- The severity of corneal nerve loss differentiates motor subtypes in patients with Parkinson's disease.Therapeutic advances in neurological disorders · 2023Article
- Chaudhuri's Dashboard of Vitals in Parkinson's syndrome: an unmet need underpinned by real life clinical tests.Frontiers in neurology · 2023Review
- Epidemiology of autonomic dysfunction in Parkinson's disease (Review).Medicine internationalReview
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autonomic dysregulation in Parkinson's disease (PD) can precede motor deficits and is associated with reduced quality of life, disease progression, and increased mortality. Objective markers of autonomic involvement in PD are limited. Corneal confocal microscopy (CCM) is a rapid ophthalmic technique that can quantify small nerve damage in a range of peripheral and autonomic neuropathies. Here we investigated whether CCM can be used to assess autonomic symptoms in PD. Based on the scale for outcomes in Parkinson's disease for autonomic symptoms (SCOPA-AUT), patients with PD were classified into those without autonomic symptoms (AutD-N), with single (AutD-S), and multiple (AutD-M) domain autonomic dysfunction. Corneal nerve fiber pathology was quantified using CCM, and the relationship with autonomic symptoms was explored. The study enrolled 71 PD patients and 30 control subjects. Corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), corneal nerve fiber length (CNFL), and CNBD/CNFD ratio were lower in PD patients with autonomic symptoms compared to those without autonomic symptoms. Autonomic symptoms correlated positively with CNFD (r = -0.350, p = 0.004), and were not related to Levodopa equivalent daily dose (r = 0.042, p = 0.733) after adjusting for age, disease severity, disease duration or cognitive function. CCM parameters had high sensitivity and specificity in distinguishing patients with PD with and without autonomic symptoms. PD patients with autonomic symptoms have corneal nerve loss, and CCM could serve as an objective ophthalmic imaging technique to identify patients with PD and autonomic symptoms.
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Registered trials
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