scholarly journals At-risk mental state for psychosis: identification and current treatment approaches

2016 ◽  
Vol 22 (3) ◽  
pp. 186-193 ◽  
Author(s):  
Andrew Thompson ◽  
Steven Marwaha ◽  
Matthew R. Broome

SummaryThe concept of an ‘at-risk mental state’ for psychosis arose from previous work attempting to identify a putative psychosis prodrome. In this article we summarise the current criteria used to identify ‘at-risk’ individuals, such as the ultra-high-risk (UHR) criteria, and the further identification of important clinical risk factors or biomarkers to improve prediction of who might develop a psychotic disorder. We also discuss important ethical issues in classifying and treating at-risk individuals, current treatment trials in this area and what treatment current services can offer.

2019 ◽  
pp. 1-7 ◽  
Author(s):  
Alison R. Yung ◽  
Stephen J. Wood ◽  
Ashok Malla ◽  
Barnaby Nelson ◽  
Patrick McGorry ◽  
...  

AbstractBackgroundIn the 1990s criteria were developed to detect individuals at high and imminent risk of developing a psychotic disorder. These are known as the at risk mental state, ultra high risk or clinical high risk criteria. Individuals meeting these criteria are symptomatic and help-seeking. Services for such individuals are now found worldwide. Recently Psychological Medicine published two articles that criticise these services and suggest that they should be dismantled or restructured. One paper also provides recommendations on how ARMS services should be operate.MethodsIn this paper we draw on the existing literature in the field and present the perspective of some ARMS clinicians and researchers.ResultsMany of the critics' arguments are refuted. Most of the recommendations included in the Moritz et al. paper are already occurring.ConclusionsARMS services provide management of current problems, treatment to reduce risk of onset of psychotic disorder and monitoring of mental state, including attenuated psychotic symptoms. These symptoms are associated with a range of poor outcomes. It is important to assess them and track their trajectory over time. A new approach to detection of ARMS individuals can be considered that harnesses broad youth mental health services, such as headspace in Australia, Jigsaw in Ireland and ACCESS Open Minds in Canada. Attention should also be paid to the physical health of ARMS individuals. Far from needing to be dismantled we feel that the ARMS approach has much to offer to improve the health of young people.


2006 ◽  
Vol 40 (5) ◽  
pp. 414-420 ◽  
Author(s):  
May M.L. Lam ◽  
Se-Fong Hung ◽  
Eric Y.H. Chen

Objectives: The identification of individuals at high risk of becoming psychotic within the near future creates opportunities for early intervention before the onset of psychosis. This study sets out to identify a group of symptomatic young people in a Chinese population with the high likelihood of transition to psychosis within a follow-up period of 6 months, and to determine the rate of transition to psychosis in this group. Method: Symptomatic individuals with a family history of psychotic disorder, subthreshold psychotic symptoms or brief transient psychotic symptoms were identified using the operationalized criteria of an ‘At Risk Mental State’. The individuals were prospectively assessed monthly on a measure of psychopathology for 6 months. Results: Eighteen out of 62 individuals (29%) made the transition to frank psychosis within a 6 month follow-up period, with the majority occurring within 3 months. In addition, significant differences were found in the intake Positive and Negative Syndrome Scale, Comprehensive Assessment of ‘At Risk Mental State’ and Global Assessment of Functioning scores between the group that ultimately became psychotic and the group that did not. Conclusion: The period of the highest risk of transition to psychosis was within the 3 months after the study began. Thus, distressed youths in our outpatient clinic, who meet the high-risk criteria should be monitored most closely in the initial 3 months, particularly those individuals with high levels of psychopathology and functional decline.


2016 ◽  
Vol 40 ◽  
pp. 96-104 ◽  
Author(s):  
M. Francesconi ◽  
A. Minichino ◽  
R.E. Carrión ◽  
R. Delle Chiaie ◽  
A. Bevilacqua ◽  
...  

AbstractBackgroundAccuracy of risk algorithms for psychosis prediction in “at risk mental state” (ARMS) samples may differ according to the recruitment setting. Standardized criteria used to detect ARMS individuals may lack specificity if the recruitment setting is a secondary mental health service. The authors tested a modified strategy to predict psychosis conversion in this setting by using a systematic selection of trait-markers of the psychosis prodrome in a sample with a heterogeneous ARMS status.Methods138 non-psychotic outpatients (aged 17–31) were consecutively recruited in secondary mental health services and followed-up for up to 3 years (mean follow-up time, 2.2 years; SD = 0.9). Baseline ARMS status, clinical, demographic, cognitive, and neurological soft signs measures were collected. Cox regression was used to derive a risk index.Results48% individuals met ARMS criteria (ARMS-Positive, ARMS+). Conversion rate to psychosis was 21% for the overall sample, 34% for ARMS+, and 9% for ARMS-Negative (ARMS−). The final predictor model with a positive predictive validity of 80% consisted of four variables: Disorder of Thought Content, visuospatial/constructional deficits, sensory-integration, and theory-of-mind abnormalities. Removing Disorder of Thought Content from the model only slightly modified the predictive accuracy (−6.2%), but increased the sensitivity (+9.5%).ConclusionsThese results suggest that in a secondary mental health setting the use of trait-markers of the psychosis prodrome may predict psychosis conversion with great accuracy despite the heterogeneity of the ARMS status. The use of the proposed predictive algorithm may enable a selective recruitment, potentially reducing duration of untreated psychosis and improving prognostic outcomes.


2015 ◽  
Vol 45 (16) ◽  
pp. 3453-3465 ◽  
Author(s):  
A. R. Yung ◽  
J. Cotter ◽  
S. J. Wood ◽  
P. McGorry ◽  
A. D. Thompson ◽  
...  

Background.Individuals identified as at ultra-high risk (UHR) for psychosis are at risk of poor functional outcome regardless of development of psychotic disorder. Studies examining longitudinal predictors of poor functioning have tended to be small and report only medium-term follow-up data. We sought to examine clinical predictors of functional outcome in a long-term longitudinal study.Method.Participants were 268 (152 females, 116 males) individuals identified as UHR 2–14 years previously. A range of clinical and sociodemographic variables were assessed at baseline. Functioning at follow-up was assessed using the Social and Occupational Functioning Assessment Scale (SOFAS).Results.Baseline negative symptoms, impaired emotional functioning, disorders of thought content, low functioning, past substance use disorder and history of childhood maltreatment predicted poor functioning at follow-up in univariate analyses. Only childhood maltreatment remained significant in the multivariate analysis (p < 0.001). Transition to psychosis was also significantly associated with poor functioning at long-term follow-up [mean SOFAS score 59.12 (s.d. = 18.54) in the transitioned group compared to 70.89 (s.d. = 14.00) in the non-transitioned group, p < 0.001]. Childhood maltreatment was a significant predictor of poor functioning in both the transitioned and non-transitioned groups.Conclusions.Childhood maltreatment and transition to psychotic disorder independently predicted poor long-term functioning. This suggests that it is important to assess history of childhood maltreatment in clinical management of UHR individuals. The finding that transition to psychosis predicts poor long-term functioning strengthens the evidence that the UHR criteria detect a subgroup at risk for schizophrenia.


2008 ◽  
Vol 98 ◽  
pp. 113-114 ◽  
Author(s):  
T. Miyakoshi ◽  
K. Matsumoto ◽  
F. Ito ◽  
A. Sakuma ◽  
M. Katsura ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Andrea Perrottelli ◽  
Giulia Maria Giordano ◽  
Francesco Brando ◽  
Luigi Giuliani ◽  
Armida Mucci

Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have been largely reported. In the last decades, research has shifted to the identification of electrophysiological alterations in the prodromal and early phases of the disorder, focusing on the prediction of clinical and functional outcome. The identification of neuronal aberrations in subjects with a first episode of psychosis (FEP) and in those at ultra high-risk (UHR) or clinical high-risk (CHR) to develop a psychosis is crucial to implement adequate interventions, reduce the rate of transition to psychosis, as well as the risk of irreversible functioning impairment. The aim of the review is to provide an up-to-date synthesis of the electrophysiological findings in the at-risk mental state and early stages of schizophrenia.Methods: A systematic review of English articles using Pubmed, Scopus, and PsychINFO was undertaken in July 2020. Additional studies were identified by hand-search. Electrophysiological studies that included at least one group of FEP or subjects at risk to develop psychosis, compared to healthy controls (HCs), were considered. The heterogeneity of the studies prevented a quantitative synthesis.Results: Out of 319 records screened, 133 studies were included in a final qualitative synthesis. Included studies were mainly carried out using frequency analysis, microstates and event-related potentials. The most common findings included an increase in delta and gamma power, an impairment in sensory gating assessed through P50 and N100 and a reduction of Mismatch Negativity and P300 amplitude in at-risk mental state and early stages of schizophrenia. Progressive changes in some of these electrophysiological measures were associated with transition to psychosis and disease course. Heterogeneous data have been reported for indices evaluating synchrony, connectivity, and evoked-responses in different frequency bands.Conclusions: Multiple EEG-indices were altered during at-risk mental state and early stages of schizophrenia, supporting the hypothesis that cerebral network dysfunctions appear already before the onset of the disorder. Some of these alterations demonstrated association with transition to psychosis or poor functional outcome. However, heterogeneity in subjects' inclusion criteria, clinical measures and electrophysiological methods prevents drawing solid conclusions. Large prospective studies are needed to consolidate findings concerning electrophysiological markers of clinical and functional outcome.


2007 ◽  
Vol 191 (S51) ◽  
pp. s38-s42 ◽  
Author(s):  
M. R. Broome ◽  
L. C. Johns ◽  
I. Valli ◽  
J. B. Woolley ◽  
P. Tabraham ◽  
...  

BackgroundCognitive models propose that faulty appraisal of anomalous experiences is critical in developing psychosis, particularly delusions. A data gathering bias may be fundamental to abnormal appraisalAimsTo examine whether there is a data gathering bias in people at high risk of developing psychosisMethodIndividuals with an at-risk mental state (n=35) were compared with a matched group of healthy volunteers (n=23). Participants were tested using a modified version of the ‘beads’ reasoning task with different levels of task difficultyResultsWhen task demands were high, the at-risk group made judgements on the basis of less information than the control group (P < 0.05). Within both groups, jumping to conclusions was directly correlated with the severity of abnormal beliefs and intolerance of uncertainty (P<0.05). In the at-risk group it was also associated with impaired working memory (P<0.05), whereas in the control group poor working memory was associated with a more conservative response style (P<0.05)ConclusionsPeople with an at-risk mental state display a jumping to conclusions reasoning style, associated with impaired working memory and intolerance of uncertainty. This may underlie a tendency to develop abnormal beliefs and a vulnerability to psychosis


2018 ◽  
Vol 49 (4) ◽  
pp. 529-534 ◽  
Author(s):  
Olesya Ajnakina ◽  
Anthony S. David ◽  
Robin M. Murray

AbstractAt Risk Mental State (ARMS) clinics are specialised mental health services for young, help-seeking people, thought to be at ultra-high risk of developing psychosis. Their stated purpose is to reduce transitions from the ARMS state to clinical psychotic disorder. Reports of ARMS clinics provide ‘evidence-based recommendations’ or ‘guidance’ for the treatment of such individuals, and claim that such clinics prevent the development of psychosis. However, we note that in an area with a very well-developed ARMS clinic (South London), only a very small proportion (4%) of patients with first episode psychosis had previously been seen at this clinic with symptoms of the ARMS. We conclude that the task of reaching sufficient people to make a major contribution to the prevention of psychosis is beyond the power of ARMS clinics. Following the preventative approaches used for many medical disorders (e.g. lung cancer, coronary artery disease), we consider that a more effective way of preventing psychosis will be to adopt a public health approach; this should attempt to decrease exposure to environmental factors such as cannabis use which are known to increase risk of the disorder.


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