The Electroretinogram May Differentiate Schizophrenia From Bipolar Disorder.

Biomarker Bipolar disorders Electroretinogram Psychosis Retina Schizophrenia

Journal

Biological psychiatry
ISSN: 1873-2402
Titre abrégé: Biol Psychiatry
Pays: United States
ID NLM: 0213264

Informations de publication

Date de publication:
01 02 2020
Historique:
received: 26 11 2018
revised: 05 06 2019
accepted: 06 06 2019
pubmed: 25 8 2019
medline: 7 1 2021
entrez: 25 8 2019
Statut: ppublish

Résumé

The retina is recognized as an approachable part of the brain owing to their common embryonic origin. The electroretinogram (ERG) has proved to be a valuable tool to investigate psychiatric disorders. We therefore investigated its accuracy as a tool to differentiate schizophrenia (SZ) from bipolar disorder (BP) even after balancing patients for their main antipsychotic medication. ERG cone and rod luminance response functions were recorded in 150 patients with SZ and 151 patients with BP and compared with 200 control subjects. We created a subgroup of subjects-45 with SZ and 45 with BP-balanced for their main antipsychotic medication. A reduced cone a-wave amplitude and a prolonged b-wave latency were observed in both disorders, whereas a reduced cone b-wave amplitude was present in SZ only. Reduced mixed rod-cone a- and b-wave amplitudes were observed in both disorders. Patients with SZ were distinguishable from control subjects with 0.91 accuracy, 77% sensitivity, and 91% specificity with similar numbers for patients with BP (0.89, 76%, and 88%, respectively). Patients with SZ and patients with BP could be differentiated with an accuracy of 0.86 (whole sample) and 0.83 (subsamples of 45 patients with 80% sensitivity and 82% specificity). Antipsychotic dosages were not correlated with ERG parameters. The ERG waveform parameters used in this study provided a very accurate distinction between the two disorders when using a logistic regression model. This supports the ERG as a tool that could aid the clinician in the differential diagnosis of SZ and BP in stabilized medicated patients.

Sections du résumé

BACKGROUND
The retina is recognized as an approachable part of the brain owing to their common embryonic origin. The electroretinogram (ERG) has proved to be a valuable tool to investigate psychiatric disorders. We therefore investigated its accuracy as a tool to differentiate schizophrenia (SZ) from bipolar disorder (BP) even after balancing patients for their main antipsychotic medication.
METHODS
ERG cone and rod luminance response functions were recorded in 150 patients with SZ and 151 patients with BP and compared with 200 control subjects. We created a subgroup of subjects-45 with SZ and 45 with BP-balanced for their main antipsychotic medication.
RESULTS
A reduced cone a-wave amplitude and a prolonged b-wave latency were observed in both disorders, whereas a reduced cone b-wave amplitude was present in SZ only. Reduced mixed rod-cone a- and b-wave amplitudes were observed in both disorders. Patients with SZ were distinguishable from control subjects with 0.91 accuracy, 77% sensitivity, and 91% specificity with similar numbers for patients with BP (0.89, 76%, and 88%, respectively). Patients with SZ and patients with BP could be differentiated with an accuracy of 0.86 (whole sample) and 0.83 (subsamples of 45 patients with 80% sensitivity and 82% specificity). Antipsychotic dosages were not correlated with ERG parameters.
CONCLUSIONS
The ERG waveform parameters used in this study provided a very accurate distinction between the two disorders when using a logistic regression model. This supports the ERG as a tool that could aid the clinician in the differential diagnosis of SZ and BP in stabilized medicated patients.

Identifiants

pubmed: 31443935
pii: S0006-3223(19)31476-3
doi: 10.1016/j.biopsych.2019.06.014
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

263-270

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019. Published by Elsevier Inc.

Auteurs

Marc Hébert (M)

Centre de Recherche CERVO, Centre Intégré Universitaire de Santé et des Services Sociaux de la Capitale Nationale, Québec, Quebec, Canada; Département d'Ophtalmologie et d'Oto-Rhino-Laryngologie-Chirurgie Cervico-Faciale, Faculté de Médecine, Université Laval, Québec, Quebec, Canada. Electronic address: marc.hebert@fmed.ulaval.ca.

Chantal Mérette (C)

Centre de Recherche CERVO, Centre Intégré Universitaire de Santé et des Services Sociaux de la Capitale Nationale, Québec, Quebec, Canada; Département de Psychiatrie et Neurosciences, Faculté de Médecine, Université Laval, Québec, Quebec, Canada.

Anne-Marie Gagné (AM)

Centre de Recherche CERVO, Centre Intégré Universitaire de Santé et des Services Sociaux de la Capitale Nationale, Québec, Quebec, Canada.

Thomas Paccalet (T)

Institut National de Santé Publique du Québec, Québec, Quebec, Canada.

Isabel Moreau (I)

Centre de Recherche CERVO, Centre Intégré Universitaire de Santé et des Services Sociaux de la Capitale Nationale, Québec, Quebec, Canada.

Joëlle Lavoie (J)

Sinai Health System, Toronto, Ontario, Canada.

Michel Maziade (M)

Centre de Recherche CERVO, Centre Intégré Universitaire de Santé et des Services Sociaux de la Capitale Nationale, Québec, Quebec, Canada; Département de Psychiatrie et Neurosciences, Faculté de Médecine, Université Laval, Québec, Quebec, Canada.

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