Cargando…

An International External Validation and Revision of the PsyMetRiC Cardiometabolic Risk Prediction Algorithm for Young People with Psychosis

INTRODUCTION: The comorbidity between cardiometabolic and psychotic disorders develops early. This is a crucial window of opportunity to reduce excess morbidity and mortality. Recently, a cardiometabolic risk prediction algorithm for young people with psychosis, the psychosis metabolic risk calculat...

Descripción completa

Detalles Bibliográficos
Autores principales: Perry, B., Vandenberghe, F., Osimo, E.F., Grosu, C., Piras, M., Jones, P., Mallikarjun, P., Stochl, J., Upthegrove, R., Khandaker, G., Eap, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567930/
http://dx.doi.org/10.1192/j.eurpsy.2022.1741
_version_ 1784809522272927744
author Perry, B.
Vandenberghe, F.
Osimo, E.F.
Grosu, C.
Piras, M.
Jones, P.
Mallikarjun, P.
Stochl, J.
Upthegrove, R.
Khandaker, G.
Eap, C.
author_facet Perry, B.
Vandenberghe, F.
Osimo, E.F.
Grosu, C.
Piras, M.
Jones, P.
Mallikarjun, P.
Stochl, J.
Upthegrove, R.
Khandaker, G.
Eap, C.
author_sort Perry, B.
collection PubMed
description INTRODUCTION: The comorbidity between cardiometabolic and psychotic disorders develops early. This is a crucial window of opportunity to reduce excess morbidity and mortality. Recently, a cardiometabolic risk prediction algorithm for young people with psychosis, the psychosis metabolic risk calculator (PsyMetRiC) was developed and externally validated in the UK. However, its international transportability is unknown. OBJECTIVES: We performed the first international validation study of PsyMetRiC in Lausanne, Switzerland, and examined whether additional variables (clinical and/or genetic) may improve the predictive performance of the algorithm METHODS: We included people aged 16-35y with psychosis from the PsyMetab cohort, who did not have MetS at baseline, and who had 1-6y follow-up data. The PsyMetRiC partial (age, sex, ethnicity, body mass index, smoking status, and prescription of a metabolically-active antipsychotic) and full (also including high-density lipoprotein and triglycerides) algorithms were applied. Predictive performance was assessed using measures of discrimination (C-statistic) and calibration (calibration plots). Recalibration steps included refitting the intercept and/or slope if necessary. Additional variables (e.g. speed of weight gain, polygenic risk scores) were added to the model and predictive performance was reassessed. RESULTS: We included 545 participants. The discrimination performance of both PsyMetRiC algorithms was good (C>0.75), and calibration plots showed good agreement between observed and predicted risk. Additional analyses to be conducted. CONCLUSIONS: PsyMetRiC is likely to be generalizable for use in Switzerland, suggesting that PsyMetRiC may also be suitable for use in other European populations. While additional international validations are required, these findings are an encouraging step toward an international cardiometabolic risk prediction algorithm for young people with psychosis. DISCLOSURE: No significant relationships.
format Online
Article
Text
id pubmed-9567930
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-95679302022-10-17 An International External Validation and Revision of the PsyMetRiC Cardiometabolic Risk Prediction Algorithm for Young People with Psychosis Perry, B. Vandenberghe, F. Osimo, E.F. Grosu, C. Piras, M. Jones, P. Mallikarjun, P. Stochl, J. Upthegrove, R. Khandaker, G. Eap, C. Eur Psychiatry Abstract INTRODUCTION: The comorbidity between cardiometabolic and psychotic disorders develops early. This is a crucial window of opportunity to reduce excess morbidity and mortality. Recently, a cardiometabolic risk prediction algorithm for young people with psychosis, the psychosis metabolic risk calculator (PsyMetRiC) was developed and externally validated in the UK. However, its international transportability is unknown. OBJECTIVES: We performed the first international validation study of PsyMetRiC in Lausanne, Switzerland, and examined whether additional variables (clinical and/or genetic) may improve the predictive performance of the algorithm METHODS: We included people aged 16-35y with psychosis from the PsyMetab cohort, who did not have MetS at baseline, and who had 1-6y follow-up data. The PsyMetRiC partial (age, sex, ethnicity, body mass index, smoking status, and prescription of a metabolically-active antipsychotic) and full (also including high-density lipoprotein and triglycerides) algorithms were applied. Predictive performance was assessed using measures of discrimination (C-statistic) and calibration (calibration plots). Recalibration steps included refitting the intercept and/or slope if necessary. Additional variables (e.g. speed of weight gain, polygenic risk scores) were added to the model and predictive performance was reassessed. RESULTS: We included 545 participants. The discrimination performance of both PsyMetRiC algorithms was good (C>0.75), and calibration plots showed good agreement between observed and predicted risk. Additional analyses to be conducted. CONCLUSIONS: PsyMetRiC is likely to be generalizable for use in Switzerland, suggesting that PsyMetRiC may also be suitable for use in other European populations. While additional international validations are required, these findings are an encouraging step toward an international cardiometabolic risk prediction algorithm for young people with psychosis. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9567930/ http://dx.doi.org/10.1192/j.eurpsy.2022.1741 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Perry, B.
Vandenberghe, F.
Osimo, E.F.
Grosu, C.
Piras, M.
Jones, P.
Mallikarjun, P.
Stochl, J.
Upthegrove, R.
Khandaker, G.
Eap, C.
An International External Validation and Revision of the PsyMetRiC Cardiometabolic Risk Prediction Algorithm for Young People with Psychosis
title An International External Validation and Revision of the PsyMetRiC Cardiometabolic Risk Prediction Algorithm for Young People with Psychosis
title_full An International External Validation and Revision of the PsyMetRiC Cardiometabolic Risk Prediction Algorithm for Young People with Psychosis
title_fullStr An International External Validation and Revision of the PsyMetRiC Cardiometabolic Risk Prediction Algorithm for Young People with Psychosis
title_full_unstemmed An International External Validation and Revision of the PsyMetRiC Cardiometabolic Risk Prediction Algorithm for Young People with Psychosis
title_short An International External Validation and Revision of the PsyMetRiC Cardiometabolic Risk Prediction Algorithm for Young People with Psychosis
title_sort international external validation and revision of the psymetric cardiometabolic risk prediction algorithm for young people with psychosis
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567930/
http://dx.doi.org/10.1192/j.eurpsy.2022.1741
work_keys_str_mv AT perryb aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT vandenberghef aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT osimoef aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT grosuc aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT pirasm aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT jonesp aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT mallikarjunp aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT stochlj aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT upthegrover aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT khandakerg aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT eapc aninternationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT perryb internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT vandenberghef internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT osimoef internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT grosuc internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT pirasm internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT jonesp internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT mallikarjunp internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT stochlj internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT upthegrover internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT khandakerg internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis
AT eapc internationalexternalvalidationandrevisionofthepsymetriccardiometabolicriskpredictionalgorithmforyoungpeoplewithpsychosis