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Clinical and neurocognitive profiles of a combined clinical high risk for psychosis and clinical control sample: latent class analysis

Year: 2024
Type: article
Abstract: Background: The clinical high-risk (CHR) state for psychosis demonstrates considerable clinical heterogeneity, presenting challenges for clinicians and researchers alike. Basic symptoms, to date, have largely been ignored in explorations of clinical profiles. Aims: We examined clinical profiles by using a broader spectrum of CHR symptoms, including not only (attenuated) psychotic, but also basic symptoms. Method: Patients (N = 875) of specialised early intervention centres for psychosis in Germany and Switzerland were assessed with the Schizophrenia Proneness Instruments and the Structured Interview for Psychosis-Risk Syndromes. Latent class analysis was applied to CHR symptoms to identify clinical profiles. Additionally, demographics, other symptoms, current non-psychotic DSM-IV axis I disorders and neurocognitive variables were assessed to further describe and compare the profiles. Results: A three-class model was best fitting the data, whereby basic symptoms best differentiated between the profiles (η2 = 0.08–0.52). Class 1 had a low probability of CHR symptoms, the highest functioning and lowest other psychopathology, neurocognitive deficits and transition-to-psychosis rate. Class 2 had the highest probability of basic and (attenuated) positive symptoms (excluding hallucinations), lowest functioning, highest symptom load, most neurocognitive deficits and highest transition rate (55.1%). Class 3 was mostly characterised by attenuated hallucination, and was otherwise intermediate between the other two classes. Comorbidity rates were comparable across classes, with some class differences in diagnostic categories. Conclusions: Our profiles based on basic and (attenuated) psychotic symptoms provide clinically useful entities by parsing out heterogeneity in clinical presentation. In future, they could guide class-specific intervention.
DOI: 10.48620/84809
Authors: Stüble, Miriam, Schultze-Lutter, Frauke, Kaess, Michael, Franscini, Maurizia, Traber-Walker, Nina, Walger, Petra, Schimmelmann, Benno G., Vogeley, Kai, Kambeitz, Joseph, Kindler, Jochen, Michel, Chantal
Language: English
Field: Medicine
Open Access status: green
OpenAlex ID: W6910641489
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