Glycated Haemoglobin Is Associated With Poorer Cognitive Performance in Patients With Recent-Onset Psychosis.

cognition cortisol early psychosis glucose glycated haemoglobin

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2020
Historique:
received: 25 02 2020
accepted: 05 05 2020
entrez: 13 6 2020
pubmed: 13 6 2020
medline: 13 6 2020
Statut: epublish

Résumé

Glucose abnormalities and cognitive alterations are present before the onset of schizophrenia. We aimed to study whether glucose metabolism parameters are associated with cognitive functioning in recent-onset psychosis (ROP) patients while adjusting for hypothalamic-pituitary adrenal (HPA) axis measures. Sixty ROP outpatients and 50 healthy subjects (HS) were studied. Cognitive function was assessed with the MATRICS Consensus Cognitive Battery. Glycated haemoglobin (HbA1 There were no significant differences in HPA axis measures or glucose parameters, with the exception of C-peptide (that was higher in ROP patients), between groups. ROP patients had a lower performance than HS in all cognitive tasks (p < 0.01 for all tasks). Of all glucose metabolism parameters, HbA1c levels were more clearly associated with cognitive impairment in cognitive tasks dealing with executive functions and visual memory in both ROP patients and HS. Multivariate analyses found a significant negative association between HbA1c and cognitive functioning in five cognitive tasks dealing with executive functions, visual memory and attention/vigilance (a ROP diagnosis by HbA1 Our study found that HbA1

Sections du résumé

BACKGROUND BACKGROUND
Glucose abnormalities and cognitive alterations are present before the onset of schizophrenia. We aimed to study whether glucose metabolism parameters are associated with cognitive functioning in recent-onset psychosis (ROP) patients while adjusting for hypothalamic-pituitary adrenal (HPA) axis measures.
METHODS METHODS
Sixty ROP outpatients and 50 healthy subjects (HS) were studied. Cognitive function was assessed with the MATRICS Consensus Cognitive Battery. Glycated haemoglobin (HbA1
RESULTS RESULTS
There were no significant differences in HPA axis measures or glucose parameters, with the exception of C-peptide (that was higher in ROP patients), between groups. ROP patients had a lower performance than HS in all cognitive tasks (p < 0.01 for all tasks). Of all glucose metabolism parameters, HbA1c levels were more clearly associated with cognitive impairment in cognitive tasks dealing with executive functions and visual memory in both ROP patients and HS. Multivariate analyses found a significant negative association between HbA1c and cognitive functioning in five cognitive tasks dealing with executive functions, visual memory and attention/vigilance (a ROP diagnosis by HbA1
CONCLUSIONS CONCLUSIONS
Our study found that HbA1

Identifiants

pubmed: 32528326
doi: 10.3389/fpsyt.2020.00455
pmc: PMC7262729
doi:

Types de publication

Journal Article

Langues

eng

Pagination

455

Informations de copyright

Copyright © 2020 Montalvo, González-Rodríguez, Cabezas, Gutiérrez-Zotes, Solé, Algora, Ortega, Martorell, Sánchez-Gistau, Vilella and Labad.

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Auteurs

Itziar Montalvo (I)

Department of Mental Health, Parc Taulí Hospital Universitari, Institut d'Investigació Sanitària Parc Taulí (I3PT), Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain.

Alexandre González-Rodríguez (A)

Department of Mental Health, Parc Taulí Hospital Universitari, Institut d'Investigació Sanitària Parc Taulí (I3PT), Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain.

Ángel Cabezas (Á)

Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain.

Alfonso Gutiérrez-Zotes (A)

Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain.

Montse Solé (M)

Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain.

Maria José Algora (MJ)

Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain.

Laura Ortega (L)

Nursing Department, Universitat Rovira i Vigili, Tarragona, Spain.

Lourdes Martorell (L)

Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain.

Vanessa Sánchez-Gistau (V)

Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain.

Elisabet Vilella (E)

Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Spain.

Javier Labad (J)

Department of Mental Health, Parc Taulí Hospital Universitari, Institut d'Investigació Sanitària Parc Taulí (I3PT), Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain.

Classifications MeSH