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Birth weight, family history of diabetes and diabetes onset in schizophrenia

INTRODUCTION: The prevalence of diabetes in schizophrenia is twice that in the general population, but there are few reliable predictors of which individuals will develop glucose dysregulation. OBJECTIVE: To test if abnormal birth weight (either too low or too high) and parental diabetes, both varia...

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Autores principales: Fernandez-Egea, Emilio, Walker, Ryan, Ziauddeen, Hisham, Cardinal, Rudolf N, Bullmore, Edward T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039608/
https://www.ncbi.nlm.nih.gov/pubmed/32049635
http://dx.doi.org/10.1136/bmjdrc-2019-001036
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author Fernandez-Egea, Emilio
Walker, Ryan
Ziauddeen, Hisham
Cardinal, Rudolf N
Bullmore, Edward T
author_facet Fernandez-Egea, Emilio
Walker, Ryan
Ziauddeen, Hisham
Cardinal, Rudolf N
Bullmore, Edward T
author_sort Fernandez-Egea, Emilio
collection PubMed
description INTRODUCTION: The prevalence of diabetes in schizophrenia is twice that in the general population, but there are few reliable predictors of which individuals will develop glucose dysregulation. OBJECTIVE: To test if abnormal birth weight (either too low or too high) and parental diabetes, both variables that can be ascertained in the clinic, can predict diabetes onset in patients with schizophrenia. RESEARCH DESIGN AND METHODS: Electronic records of a cohort of 190 clozapine-treated patients (37% treated for more than 20 years) and Cox regression survival analysis (with any type of glucose dysregulation as the event) to account for differences in length of treatment before the event and age at clozapine treatment initiation. RESULTS: Age at clozapine initiation (Exp(B)=1.098; p<0.001), family history of diabetes (Exp(B)=2.299; p=0.049) and birth weight(2) (Exp(B)=0.999; p=0.013) were significant predictors of glucose dysregulation onset, while gender was not (Exp(B)=0.1.350; p=0.517). Among individuals with 10 years of follow-up, 80% of those with both abnormal birth weight and a family history of diabetes developed diabetes compared with 56% with only abnormal birth weight, 40% with only a family history of diabetes and 20% in those with neither. CONCLUSIONS: Since 48% of cases had at least one risk factor and 6% had both risk factors, there is a substantial proportion of patients for whom preventive strategies could be implemented.
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spelling pubmed-70396082020-03-03 Birth weight, family history of diabetes and diabetes onset in schizophrenia Fernandez-Egea, Emilio Walker, Ryan Ziauddeen, Hisham Cardinal, Rudolf N Bullmore, Edward T BMJ Open Diabetes Res Care Cardiovascular and Metabolic Risk INTRODUCTION: The prevalence of diabetes in schizophrenia is twice that in the general population, but there are few reliable predictors of which individuals will develop glucose dysregulation. OBJECTIVE: To test if abnormal birth weight (either too low or too high) and parental diabetes, both variables that can be ascertained in the clinic, can predict diabetes onset in patients with schizophrenia. RESEARCH DESIGN AND METHODS: Electronic records of a cohort of 190 clozapine-treated patients (37% treated for more than 20 years) and Cox regression survival analysis (with any type of glucose dysregulation as the event) to account for differences in length of treatment before the event and age at clozapine treatment initiation. RESULTS: Age at clozapine initiation (Exp(B)=1.098; p<0.001), family history of diabetes (Exp(B)=2.299; p=0.049) and birth weight(2) (Exp(B)=0.999; p=0.013) were significant predictors of glucose dysregulation onset, while gender was not (Exp(B)=0.1.350; p=0.517). Among individuals with 10 years of follow-up, 80% of those with both abnormal birth weight and a family history of diabetes developed diabetes compared with 56% with only abnormal birth weight, 40% with only a family history of diabetes and 20% in those with neither. CONCLUSIONS: Since 48% of cases had at least one risk factor and 6% had both risk factors, there is a substantial proportion of patients for whom preventive strategies could be implemented. BMJ Publishing Group 2020-01-28 /pmc/articles/PMC7039608/ /pubmed/32049635 http://dx.doi.org/10.1136/bmjdrc-2019-001036 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Cardiovascular and Metabolic Risk
Fernandez-Egea, Emilio
Walker, Ryan
Ziauddeen, Hisham
Cardinal, Rudolf N
Bullmore, Edward T
Birth weight, family history of diabetes and diabetes onset in schizophrenia
title Birth weight, family history of diabetes and diabetes onset in schizophrenia
title_full Birth weight, family history of diabetes and diabetes onset in schizophrenia
title_fullStr Birth weight, family history of diabetes and diabetes onset in schizophrenia
title_full_unstemmed Birth weight, family history of diabetes and diabetes onset in schizophrenia
title_short Birth weight, family history of diabetes and diabetes onset in schizophrenia
title_sort birth weight, family history of diabetes and diabetes onset in schizophrenia
topic Cardiovascular and Metabolic Risk
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039608/
https://www.ncbi.nlm.nih.gov/pubmed/32049635
http://dx.doi.org/10.1136/bmjdrc-2019-001036
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