Conference Paper

Sensitivity, specificity, and predictive power of the "Brief Risk-resilience Index for SCreening," a brief pan-diagnostic web screen for emotional health.

University of Sydney Medical School and Westmead Millennium Institute Sydney, New South Wales, 2145, Australia.
Conference: Society for Biological Psychiatry
Source: PubMed


FIntroduction: About 50% to 65% of brain related illnesses go unidentified and untreated in primary care. The ‘BRISC’ was developed as an efficient web-delivered questionnaire to identify these cases across populations and settings. Poor brain health on the BRISC is predicted by combination of genetic risk (5-HTT Short and COMT Met alleles), early life trauma, and hyper-reactivity of brainstem-amygdala-frontal circuitry for negative emotion.
Methods: We tested how well BRISC classified 1,079 people into ‘poor’ and ‘good’ brain health groups, compared to independent clinical determination. The poor brain health group comprised 6 diagnostic categories.
Results: ROC analyses showed optimal classification with 70 to 88% sensitivity, specificity and predictive power.
Discussion: Patients at risk of a brain health problem can be identified accurately using a brief web-delivered questionnaire, that reflects underlying brain function.

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