Atypical (second generation) antipsychotic treatment response in very late-onset schizophrenia-like psychosis

2010 ◽  
Vol 23 (5) ◽  
pp. 742-748 ◽  
Author(s):  
Jamie Scott ◽  
Blaine S. Greenwald ◽  
Elisse Kramer ◽  
Mitchell Shuwall

ABSTRACTIntroduction: Symptom amelioration in older patients with very late onset schizophrenia-like psychosis (VLOSLP) is often difficult, with limited psychotropic response reports yielding variable findings. Information about atypical (second generation) antipsychotic use in this population is scant.Methods: A consecutive sample of geriatric psychiatry outpatients and inpatients with psychotic disorders were retrospectively identified over a 31-month period based on systematic information abstraction from an electronic medical record (e-record). After exclusion criteria were applied, 8/138 outpatients and 13/362 inpatients met inclusion criteria for VLOSLP and had been naturalistically treated with an atypical antipsychotic during hospitalization or nine months of outpatient care. Mandatorily completed e-record standardized symptom severity response ratings were converted into positive treatment response thresholds.Results: 38% of outpatients and 77% of inpatients (mean age = 76 years for both groups; mean age of onset of psychosis = 70 years for outpatients and 74 years for inpatients) met criteria for positive treatment response to an atypical antipsychotic (either aripiprazole, olanzapine, quetiapine, or risperidone) with sign/symptom amelioration, rather than eradication.Conclusions: Various atypical antipsychotics at geriatric doses yielded a positive treatment response in nearly two-thirds of VLOSLP patients. Patients with less chronic, more severe symptoms responded at a higher rate. Prospective, double-blind, placebo-controlled trials with representative subject samples are needed to validate these preliminary findings.

2019 ◽  
Vol 46 (3) ◽  
pp. 680-689 ◽  
Author(s):  
Esther M Blessing ◽  
Vishnu P Murty ◽  
Botao Zeng ◽  
Jijun Wang ◽  
Lila Davachi ◽  
...  

Abstract Background Converging evidence implicates the anterior hippocampus in the proximal pathophysiology of schizophrenia. Although resting state functional connectivity (FC) holds promise for characterizing anterior hippocampal circuit abnormalities and their relationship to treatment response, this technique has not yet been used in first-episode psychosis (FEP) patients in a manner that distinguishes the anterior from posterior hippocampus. Methods We used masked-hippocampal-group-independent component analysis with dual regression to contrast subregional hippocampal–whole brain FC between healthy controls (HCs) and antipsychotic naïve FEP patients (N = 61, 36 female). In a subsample of FEP patients (N = 27, 15 female), we repeated this analysis following 8 weeks of second-generation antipsychotic treatment and explored whether baseline FC predicted treatment response using random forest. Results Relative to HC, untreated FEP subjects displayed reproducibly lower FC between the left anteromedial hippocampus and cortical regions including the anterior cingulate and insular cortex (P < .05, corrected). Anteromedial hippocampal FC increased in FEP patients following treatment (P < .005), and no longer differed from HC. Random forest analysis showed baseline anteromedial hippocampal FC with four brain regions, namely the insular–opercular cortex, superior frontal gyrus, precentral gyrus, and postcentral gyrus predicted treatment response (area under the curve = 0.95). Conclusions Antipsychotic naïve FEP is associated with lower FC between the anterior hippocampus and cortical regions previously implicated in schizophrenia. Preliminary analysis suggests that random forest models based on hippocampal FC may predict treatment response in FEP patients, and hence could be a useful biomarker for treatment development.


2008 ◽  
Vol 20 (2) ◽  
pp. 71-78 ◽  
Author(s):  
Deanna L. Kelly ◽  
Robert R. Conley ◽  
Raymond C. Love ◽  
John A. Morrison ◽  
Robert P. Mcmahon

2021 ◽  
Vol 10 (18) ◽  
pp. 4275
Author(s):  
Lorena Carrascal-Laso ◽  
María Isidoro-García ◽  
Ignacio Ramos-Gallego ◽  
Manuel A. Franco-Martín

Second-generation antipsychotic metabolism is mainly carried out by the CYP450 superfamily, which is highly polymorphic. Therefore, knowing the influence of the different known CYP450 polymorphisms on antipsychotic plasmatic levels and, consequently, the biological effect could contribute to a deeper knowledge of interindividual antipsychotic treatment variability, prompting possible solutions. Considering this, this state of the art review aimed to summarize the current knowledge about the influence of the diverse characterized phenotypes on the metabolism of the most used second-generation antipsychotics. Forty studies describing different single nucleotide polymorphisms (SNPs) associated with the genes CYP1A2, CYP2D6, CYP3A4, CYP3A5, and ABCB1 and their influence on pharmacokinetics of olanzapine, clozapine, aripiprazole, risperidone, and quetiapine. Most of the authors concluded that although significant differences in the pharmacokinetic parameters between the different phenotypes could be observed, more thorough studies describing pharmacokinetic interactions and environmental conditions, among other variables, are needed to fully comprehend these pharmacogenetic interactions.


2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Melanie Blair Thies ◽  
Pamela DeRosse ◽  
Deepak K Sarpal ◽  
Miklos Argyelan ◽  
Christina L Fales ◽  
...  

Abstract Antipsychotic (AP) medications are the mainstay for the treatment of schizophrenia spectrum disorders (SSD), but their efficacy is unpredictable and widely variable. Substantial efforts have been made to identify prognostic biomarkers that can be used to guide optimal prescription strategies for individual patients. Striatal regions involved in salience and reward processing are disrupted as a result of both SSD and cannabis use, and research demonstrates that striatal circuitry may be integral to response to AP drugs. In the present study, we used functional magnetic resonance imaging (fMRI) to investigate the relationship between a history of cannabis use disorder (CUD) and a striatal connectivity index (SCI), a previously developed neural biomarker for AP treatment response in SSD. Patients were part of a 12-week randomized, double-blind controlled treatment study of AP drugs. A sample of 48 first-episode SSD patients with no more than 2 weeks of lifetime exposure to AP medications, underwent a resting-state fMRI scan pretreatment. Treatment response was defined a priori as a binary (response/nonresponse) variable, and a SCI was calculated in each patient. We examined whether there was an interaction between lifetime CUD history and the SCI in relation to treatment response. We found that CUD history moderated the relationship between SCI and treatment response, such that it had little predictive value in SSD patients with a CUD history. In sum, our findings highlight that biomarker development can be critically impacted by patient behaviors that influence neurobiology, such as a history of CUD.


2008 ◽  
Vol 18 (4) ◽  
pp. 381-383 ◽  
Author(s):  
María J. de Castro ◽  
David Fraguas ◽  
Paula Laita ◽  
Dolores Moreno ◽  
Mara Parellada ◽  
...  

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