scholarly journals Antipsychotic treatment resistance in first-episode psychosis: prevalence, subtypes and predictors

2017 ◽  
Vol 47 (11) ◽  
pp. 1981-1989 ◽  
Author(s):  
A. Demjaha ◽  
J. M. Lappin ◽  
D. Stahl ◽  
M. X. Patel ◽  
J. H. MacCabe ◽  
...  

BackgroundWe examined longitudinally the course and predictors of treatment resistance in a large cohort of first-episode psychosis (FEP) patients from initiation of antipsychotic treatment. We hypothesized that antipsychotic treatment resistance is: (a) present at illness onset; and (b) differentially associated with clinical and demographic factors.MethodThe study sample comprised 323 FEP patients who were studied at first contact and at 10-year follow-up. We collated clinical information on severity of symptoms, antipsychotic medication and treatment adherence during the follow-up period to determine the presence, course and predictors of treatment resistance.ResultsFrom the 23% of the patients, who were treatment resistant, 84% were treatment resistant from illness onset. Multivariable regression analysis revealed that diagnosis of schizophrenia, negative symptoms, younger age at onset, and longer duration of untreated psychosis predicted treatment resistance from illness onset.ConclusionsThe striking majority of treatment-resistant patients do not respond to first-line antipsychotic treatment even at time of FEP. Clinicians must be alert to this subgroup of patients and consider clozapine treatment as early as possible during the first presentation of psychosis.

2021 ◽  
pp. 1-15
Author(s):  
Rosa Ayesa-Arriola ◽  
Victor Ortiz-García de la Foz ◽  
Nancy Murillo-García ◽  
Javier Vázquez-Bourgon ◽  
María Juncal-Ruiz ◽  
...  

Abstract Background Cognitive reserve (CR) has been associated with the development and prognosis of psychosis. Different proxies have been used to estimate CR among individuals. A composite score of these proxies could elucidate the role of CR at illness onset on the variability of clinical and neurocognitive outcomes. Methods Premorbid intelligence quotient (IQ), years of education and premorbid adjustment were explored as proxies of CR in a large sample (N = 424) of first-episode psychosis (FEP) non-affective patients. Clusters of patients were identified and compared based on premorbid, clinical and neurocognitive variables at baseline. Additionally, the clusters were compared at 3-year (N = 362) and 10-year (N = 150) follow-ups. Results The FEP patients were grouped into five CR clusters: C1 (low premorbid IQ, low education and poor premorbid) 14%; C2 (low premorbid IQ, low education and good premorbid adjustment) 29%; C3 (normal premorbid IQ, low education and poor premorbid adjustment) 17%; C4 (normal premorbid IQ, medium education and good premorbid adjustment) 25%; and C5 (normal premorbid IQ, higher education and good premorbid adjustment) 15%. In general, positive and negative symptoms were more severe in the FEP patients with the lowest CR at baseline and follow-up assessments, while those with high CR presented and maintained higher levels of cognitive functioning. Conclusions CR could be considered a key factor at illness onset and a moderator of outcomes in FEP patients. A high CR could function as a protective factor against cognitive impairment and severe symptomatology. Clinical interventions focused on increasing CR and documenting long-term benefits are interesting and desirable.


2001 ◽  
Vol 178 (6) ◽  
pp. 518-523 ◽  
Author(s):  
Attila Sipos ◽  
Glynn Harrison ◽  
David Gunnell ◽  
Shazad Amin ◽  
Swaran P. Singh

BackgroundLittle is known about predictors of hospitalisation in patients with first-episode psychosis.AimsTo identify the pattern and predictors of hospitalisation of patients with a first psychotic episode making their first contact with specialist services.MethodThree-year follow-up of a cohort of 166 patients with a first episode of psychosis making contact with psychiatric services in Nottingham between June 1992 and May 1994.ResultsEighty-eight (53.0%) patients were admitted within 1 week of presentation; 32 (19.3%) were never admitted during the 3 years of follow-up. Manic symptoms at presentation were associated with an increased risk of rapid admission and an increased overall risk of admission; negative symptoms and a longer duration of untreated illness had an increased risk of late admission.ConclusionsCommunity-oriented psychiatric services might only delay, rather than prevent, admission of patients with predominantly negative symptoms and a longer duration of untreated illness. First-episode studies based upon first admissions are likely to be subject to selection biases, which may limit their representativeness.


2019 ◽  
Vol 281 ◽  
pp. 112554 ◽  
Author(s):  
Magnus Johan Engen ◽  
Carmen Simonsen ◽  
Ingrid Melle ◽  
Ann Færden ◽  
Siv Hege Lyngstad ◽  
...  

2021 ◽  
Author(s):  
Kun Yang ◽  
Luisa Longo ◽  
Zui Narita ◽  
Nicola Cascella ◽  
Frederick C. Nucifora ◽  
...  

Treatment resistant (TR) psychosis is considered to be a significant cause of disability and functional impairment. Numerous efforts have been made to identify the clinical predictors of TR. However, the exploration of molecular and biological markers is still at an early stage. To understand the TR condition and identify potential molecular and biological markers, we analyzed demographic information, clinical data, structural brain imaging data, and molecular brain imaging data in 7 Tesla magnetic resonance spectroscopy, from a first episode psychosis cohort that includes 138 patients. Age, gender, race, smoking status, duration of illness, and antipsychotic dosages were controlled in the analyses. We found that TR patients had a younger age at onset, more hospitalizations, more severe negative symptoms, a significant reduction in the volumes of the hippocampus (HP) and superior frontal gyrus (SFG), and a significant reduction in glutathione (GSH) levels in the anterior cingulate cortex (ACC), when compared to non-TR patients. The combination of multiple markers provided a better classification between TR and non-TR patients compared to any individual marker. Our study shows that ACC GSH, HP and SFG volumes, and age at onset could potentially be trait biomarkers for TR diagnosis, while hospitalization and negative symptoms could be used to evaluate the progression of the disease. Multimodal cohorts are essential in obtaining a comprehensive understanding of brain disorders.


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