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

被引:0
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作者
Tse, Wing [1 ]
Khandaker, Golam M. [2 ]
Zhou, Huiquan [1 ,3 ]
Luo, Hao [3 ]
Yan, Wai Ching [4 ]
Siu, Man Wah [4 ]
Poon, Lap Tak [5 ]
Lee, Edwin Ho Ming [1 ]
Zhang, Qingpeng [6 ,7 ]
Upthegrove, Rachel [8 ]
Osimo, Emanuele F. [9 ,10 ]
Perry, Benjamin I. [9 ,10 ,12 ]
Chan, Sherry Kit Wa [1 ,11 ,13 ]
机构
[1] Univ Hong Kong, Li Ka Shing Fac Med, Sch Clin Med, Dept Psychiat, Hong Kong, Peoples R China
[2] Univ Bristol, Bristol Med Sch, Bristol, England
[3] Univ Hong Kong, Fac Social Sci, Dept Social Work & Social Adm, Hong Kong, Peoples R China
[4] Kowloon Hosp, Dept Psychiat, Hong Kong, Peoples R China
[5] United Christian Hosp, Dept Psychiat, Hong Kong, Peoples R China
[6] Univ Hong Kong, Musketeers Fdn Inst Data Sci, Hong Kong, Peoples R China
[7] Univ Hong Kong, Li Ka Shing Fac Med, Dept Pharmacol & Pharm, Hong Kong, Peoples R China
[8] Univ Birmingham, Inst Mental Hlth, Birmingham, England
[9] Univ Cambridge, Sch Clin Med, Dept Psychiat, Cambridge, England
[10] Cambridgeshire & Peterborough NHS Fdn Trust, Cambridge, England
[11] Univ Hong Kong, State Key Lab Brain & Cognit Sci, Hong Kong, Peoples R China
[12] Univ Cambridge, Dept Psychiat, Cambridge CB2 0SZ, England
[13] Univ Hong Kong, Queen Mary Hosp, Dept Psychiat, Room 219,New Clin Bldg,102 Pokfulam Rd, Hong Kong, Peoples R China
来源
关键词
First-episode psychosis; Metabolic syndrome; Prediction risk calculator; Net benefit; SEVERE MENTAL-ILLNESS; CARDIOVASCULAR-DISEASE; EARLY INTERVENTION; BIPOLAR DISORDER; MORTALITY; PREDICTION; SCHIZOPHRENIA; INDIVIDUALS; PREVALENCE; MANAGEMENT;
D O I
10.1016/j.lanwpc.2024.101089
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Metabolic syndrome (MetS) is common following fi rst -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, fi rst 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 re fi ne PsyMetRiC for HK Chinese FEP population (PsyMetRiC-HK). PsyMetRiC-HK provided a greater net bene fi t than competing strategies. Results remained robust with a Chinese MetS de fi nition, 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.
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页数:11
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