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Article: Assessing the generalisability of the psychosis metabolic risk calculator (PsyMetRiC) for young people with first-episode psychosis with validation in a Hong Kong Chinese Han population: a 4-year follow-up study

TitleAssessing the generalisability of the psychosis metabolic risk calculator (PsyMetRiC) for young people with first-episode psychosis with validation in a Hong Kong Chinese Han population: a 4-year follow-up study
Authors
KeywordsFirst-episode psychosis
Metabolic syndrome
Net benefit
Prediction risk calculator
Issue Date13-May-2024
PublisherElsevier
Citation
The Lancet Regional Health - Western Pacific, 2024, v. 47 How to Cite?
Abstract

Background

Metabolic syndrome (MetS) is common following first-episode psychosis (FEP), contributing to substantial morbidity and mortality. The Psychosis Metabolic Risk Calculator (PsyMetRiC), a risk prediction algorithm for MetS following a FEP diagnosis, was developed in the United Kingdom and has been validated in other European populations. However, the predictive accuracy of PsyMetRiC in Chinese populations is unknown.

Methods

FEP patients aged 15–35 y, first presented to the Early Assessment Service for Young People with Early Psychosis (EASY) Programme in Hong Kong (HK) between 2012 and 2021 were included. A binary MetS outcome was determined based on the latest available follow-up clinical information between 1 and 12 years after baseline assessment. The PsyMetRiC Full and Partial algorithms were assessed for discrimination, calibration and clinical utility in the HK sample, and logistic calibration was conducted to account for population differences. Sensitivity analysis was performed in patients aged >35 years and using Chinese MetS criteria.

Findings

The main analysis included 416 FEP patients (mean age = 23.8 y, male sex = 40.4%, 22.4% MetS prevalence at follow-up). PsyMetRiC showed adequate discriminative performance (full-model C = 0.76, 95% C.I. = 0.69–0.81; partial-model: C = 0.73, 95% C.I. = 0.65–0.8). Systematic risk underestimation in both models was corrected using logistic calibration to refine PsyMetRiC for HK Chinese FEP population (PsyMetRiC-HK). PsyMetRiC-HK provided a greater net benefit than competing strategies. Results remained robust with a Chinese MetS definition, but worse for the older age group.

Interpretation

With good predictive performance for incident MetS, PsyMetRiC-HK presents a step forward for personalized preventative strategies of cardiometabolic morbidity and mortality in young Hong Kong Chinese FEP patients.


Persistent Identifierhttp://hdl.handle.net/10722/343927
ISSN
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 2.197

 

DC FieldValueLanguage
dc.contributor.authorTse, W-
dc.contributor.authorKhandaker, GM-
dc.contributor.authorZhou, H-
dc.contributor.authorLuo, H-
dc.contributor.authorYan, WC-
dc.contributor.authorSiu, MW-
dc.contributor.authorPoon, LT-
dc.contributor.authorLee, EHM-
dc.contributor.authorZhang, Q-
dc.contributor.authorUpthegrove, R-
dc.contributor.authorOsimo, EF-
dc.contributor.authorPerry, BI-
dc.contributor.authorChan, SKW-
dc.date.accessioned2024-06-18T03:42:53Z-
dc.date.available2024-06-18T03:42:53Z-
dc.date.issued2024-05-13-
dc.identifier.citationThe Lancet Regional Health - Western Pacific, 2024, v. 47-
dc.identifier.issn2666-6065-
dc.identifier.urihttp://hdl.handle.net/10722/343927-
dc.description.abstract<h3>Background</h3><p>Metabolic syndrome (MetS) is common following first-episode psychosis (FEP), contributing to substantial morbidity and mortality. The Psychosis Metabolic Risk Calculator (PsyMetRiC), a risk prediction algorithm for MetS following a FEP diagnosis, was developed in the United Kingdom and has been validated in other European populations. However, the predictive accuracy of PsyMetRiC in Chinese populations is unknown.</p><h3>Methods</h3><p>FEP patients aged 15–35 y, first presented to the Early Assessment Service for Young People with Early Psychosis (EASY) Programme in Hong Kong (HK) between 2012 and 2021 were included. A binary MetS outcome was determined based on the latest available follow-up clinical information between 1 and 12 years after baseline assessment. The PsyMetRiC Full and Partial algorithms were assessed for discrimination, calibration and clinical utility in the HK sample, and logistic calibration was conducted to account for population differences. Sensitivity analysis was performed in patients aged >35 years and using Chinese MetS criteria.</p><h3>Findings</h3><p>The main analysis included 416 FEP patients (mean age = 23.8 y, male sex = 40.4%, 22.4% MetS prevalence at follow-up). PsyMetRiC showed adequate discriminative performance (full-model C = 0.76, 95% C.I. = 0.69–0.81; partial-model: C = 0.73, 95% C.I. = 0.65–0.8). Systematic risk underestimation in both models was corrected using logistic calibration to refine PsyMetRiC for HK Chinese FEP population (PsyMetRiC-HK). PsyMetRiC-HK provided a greater net benefit than competing strategies. Results remained robust with a Chinese MetS definition, but worse for the older age group.</p><h3>Interpretation</h3><p>With good predictive performance for incident MetS, PsyMetRiC-HK presents a step forward for personalized preventative strategies of cardiometabolic morbidity and mortality in young Hong Kong Chinese FEP patients.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofThe Lancet Regional Health - Western Pacific-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectFirst-episode psychosis-
dc.subjectMetabolic syndrome-
dc.subjectNet benefit-
dc.subjectPrediction risk calculator-
dc.titleAssessing the generalisability of the psychosis metabolic risk calculator (PsyMetRiC) for young people with first-episode psychosis with validation in a Hong Kong Chinese Han population: a 4-year follow-up study-
dc.typeArticle-
dc.identifier.doi10.1016/j.lanwpc.2024.101089-
dc.identifier.scopuseid_2-s2.0-85193025286-
dc.identifier.volume47-
dc.identifier.issnl2666-6065-

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