Predictive value of the brief visuospatial memory test-revised for the outcome of subjects with clinical high-risk for psychosis
10.3969/j.issn.1002-0152.2025.09.003
- VernacularTitle:简短视空间记忆测验-修订版对精神病临床高危综合征人群转化的预测效度
- Author:
Lingchuan XIONG
1
;
Huiru CUI
1
;
Lihua XU
1
;
Yanyan WEI
1
;
Dan ZHANG
1
;
Zhenying QIAN
1
;
Yingy-ing TANG
1
;
Tianhong ZHANG
1
;
Jijun WANG
1
Author Information
1. 上海交通大学医学院附属精神卫生中心(上海 200030)
- Publication Type:Journal Article
- Keywords:
Psychosis;
Clinical high risk;
Brief visuospatial memory test-revised;
Conversion;
Generalized addi-tive model;
Maximally selected rank statistics;
Bayes classification;
Forecasting
- From:
Chinese Journal of Nervous and Mental Diseases
2025;51(9):528-534
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the role of the brief visuospatial memory test-revised(BVMT-R)in predicting the clinical conversion to psychosis in subjects with clinical high-risk for psychosis(CHR-P).Methods A total of 217 CHR subjects were recruited and assessed using BVMT-R at baseline.Participants were followed up for three years to determine whether they converted to psychosis.The relationship between BVMT-R total score and CHR-P conversion probability was analyzed using generalized additive model,and the cutoff values of BVMT-R total score for predicting CHR-P conversion were calculated by maximally selected rank statistics.Then,the total BVMT-R score was stratified into different intervals based on the cutoff values obtained as previously described.Finally,the positive likelihood ratios and the conversion rates at different time points were calculated for each interval.Results A total of 168 subjects with CHR-P completed the 3-year follow-up assessment.According to the results of the generalized additive model,the relationship between the BVMT-R total score and CHR-P conversion probability exhibited the characteristics of a piecewise function model.The cutoff values identified using the maximally selected rank statistics method were 18 and 29,which divided the BVMT-R total scores into three intervals:0-18,19-29,and 30-36.The positive likelihood ratios of the three intervals for predicting CHR-P psychosis conversion were significantly different(all P<0.01).All three intervals had significantly different rates of psychosis conversion at different follow-up time points(all P<0.01).Conclusion The total BVMT-R score can be divided into three intervals,each associated with a distinct positive likelihood ratio for predicting psychosis conversion in CHR-P individuals.Accordingly,the BVMT-R total score may serve as a preliminary indicator for estimating the probability of psychosis conversion in the CHR-P population.
