scholarly journals Clinical, societal and personal recovery in schizophrenia spectrum disorders across time: states and annual transitions

2021 ◽  
pp. 1-8
Author(s):  
Stynke Castelein ◽  
Marieke E. Timmerman ◽  
Mark van der Gaag ◽  
Ellen Visser ◽  

Background Recovery in schizophrenia is a complex process, involving clinical, societal and personal recovery. Until now, studies analysed these domains separately, without examining their mutual relations and changes over time. Aims This study aimed to examine different states of recovery and transition rates between states. Method The Pharmacotherapy Monitoring and Outcome Survey (2006–2017) yearly assesses patients with schizophrenia in the Northern Netherlands. Data from 2327 patients with one up to 11 yearly measurements on clinical, societal and personal recovery were jointly analysed with a mixture latent Markov model (MLMM). Results The selected MLMM had four states that differed in degree and pattern of recovery outcomes. Patients in state 1 were least recovered on any domain (16% of measurements), and partly recovered in states 2 (25%; featured by negative symptoms) and 3 (21%; featured by positive symptoms). Patients in state 4 (38%) were most recovered, except for work, study and housekeeping. At the subsequent measurement, the probability of remaining in the same state was 77–89%, transitioning to a better state was 4–12% and transitioning to a worse state was 4–6%; no transitions occurred between states 1 and 4. Female gender, shorter illness duration and less schizophrenia were more prevalent in better states. Conclusions Quite a high recovery rate was present among a substantial part of the measurements (38%, state 4), with a high probability (89%) of remaining in this state. Transition rates in the other states might increase to a more favourable state by focusing on adequate treatment of negative and positive symptoms and societal problems.

1996 ◽  
Vol 168 (6) ◽  
pp. 702-708 ◽  
Author(s):  
Owen Yuen ◽  
Michael P. Caligiuri ◽  
Richard Williams ◽  
Ruth A. Dickson

BackgroundControversy surrounds the relationship between tardive dyskinesia (TD) and symptoms of schizophrenia. While some studies reported that negative symptoms of schizophrenia may be a risk factor for TD, others reported a relationship between TD and positive symptoms.MethodEighty-four patients were studied, of whom 47 met criteria for TD. Clinical and instrumental procedures were used to increase the sensitivity of our assessments of the presence and severity of TD. Stepwise logistic and linear regression procedures were used to identify demographic variables, psychopathology, and motor parameters associated with the presence and severity of TD.ResultsA 3-factor model consisting of age, clinical tremor, and negative symptoms explained 25% of the variance in clinical TD severity. A 6-factor model consisting of female gender, instrumental and clinical measures of parkinsonism, positive, and negative symptoms explained 49% of the variance in severity of instrumentally derived dyskinesia.ConclusionsThese results suggest that the presence of TD may be associated with positive symptoms; that the severity of TD may be related to negative symptoms; and that the relationship between negative symptoms and TD severity may be influenced by the presence of parkinsonism.


2013 ◽  
Vol 23 (3) ◽  
pp. 271-279 ◽  
Author(s):  
B. Schrank ◽  
M. Amering ◽  
A. Grant Hay ◽  
M. Weber ◽  
I. Sibitz

Aims.Insight, positive and negative symptoms, hope, depression and self-stigma are relevant variables in schizophrenia spectrum disorders. So far, research on their mutual influences has been patchy. This study simultaneously tests the associations between these variables.Methods.A total of 284 people with schizophrenia spectrum disorders were assessed using the Schedule for the Assessment of Insight, Positive and Negative Syndrome Scale, Integrative Hope Scale, Centre for Epidemiological Studies Depression Scale and Internalized Stigma of Mental Illness scale. Path analysis was applied to test the hypothesized relationships between the variables.Results.Model support was excellent. Strong and mutual causal influences were confirmed between hope, depression and self-stigma. The model supported the assumption that insight diminishes hope and increases depression and self-stigma. While negative symptoms directly affected these three variables, reducing hope and increasing depression and self-stigma, positive symptoms did not. However, positive symptoms diminished self-stigma on a pathway via insight.Conclusions.This study provides a comprehensive synopsis of the relationships between six variables relevant for schizophrenia spectrum disorders. Research implications include the need to investigate determinants of consequences of insight, and the sequence of influences exerted by positive and negative symptoms. Clinical implications include the importance of interventions against self-stigma and of taking a contextualized approach to insight.


2019 ◽  
Vol 47 (11) ◽  
pp. 1-8 ◽  
Author(s):  
AiBao Zhou ◽  
Pei Xie ◽  
ChaoChao Pan ◽  
Zhe Tian ◽  
Junwei Xie

We explored differences in performance on the Synthetic House–Tree–Person Test between people with mainly positive symptoms and those with mainly negative symptoms of schizophrenia and, further, aimed to provide a basis for the diagnosis of schizophrenia symptom type. Participants were 58 people receiving treatment for schizophrenia, and we asked them to complete the Scale for the Assessment of Positive Symptoms, the Scale for the Assessment of Negative Symptoms, and the Synthetic House–Tree–Person Test. There were significant differences in results on the Synthetic House–Tree–Person Test between the group with positive symptoms, the group with a mix of positive and negative symptoms, and the group with negative symptoms. There were 12 features of participants' drawings, such as big hands, which were correlated with hallucinations and delusions in positive symptoms, and 9 features, such as trees in a landscape, which were correlated with avolition and anhedonia in negative symptoms. Our study results suggest differences in performance on the Synthetic House–Tree–Person Test between these different symptom subtypes of schizophrenia; hence, the features that appear in drawings made during the test may contribute to the diagnosis of symptoms of people with schizophrenia.


1986 ◽  
Vol 1 (2) ◽  
pp. 108-122 ◽  
Author(s):  
Nancy C. Andreasen ◽  
William M. Grove

SummaryMost investigators concur that schizophrenia is probably a heterogeneous group of disorders that share the common features of psychotic symptoms, partial response to neuroleptics, and a relatively poor outcome. The subdivision of schizophrenia into two subtypes, positive versus negative, has achieved wide acceptance throughout the world during recent years. This distinction has heuristic and theoretical appeal because it unites phenomenology, pathophysiology, and etiology into a single comprehensive hypothesis.In spite of its wide appeal, the distinction has a number of problems. These include the failure to distinguish between symptom syndromes and diseases; failure to deal with the mixed patient; failure to take longitudinal course into account; and failure to address conceptually and methodologically the distinction between positive and negative symptoms.This paper focuses primarily on the conceptual basis for two instruments designed to measure positive and negative symptoms, the Scale for the Assessment of Negative Symptoms (SANS) and the Scale for the Assessment of Positive Symptoms (SAPS), originally described in 1982. Since their description, these scales have been used in a variety of other centers. These scales are based on the hypothesis that negative symptoms represent a deficit or diminution in normal psychological functions wliile positive symptoms represent an excess or distortion of normal functions. Reliability data are now available from Italy, Spain, and Japan which suggest that these scales can be used reliably in cultural settings outside the United States. The results of these studies are summarized in this paper. In addition, a replication study involving a new sample of 117 schizophrenics collected at the University of Iowa is described. In this second study of the SANS and SAPS, internal consistency is found to be quite high in the SANS. Thus negative symptoms appear to be more internally correlated with one another than are positive symptoms. The implications of this result are discussed. A principal components analysis is used to explore the relationship between positive and negative symptoms. While the study reported in 1982 suggested that positive and negative symptoms are negatively correlated, in the present study they appear to be uncorrelated. Overall, the results suggest that the SANS and SAPS are useful comprehensive instruments for the evaluation of positive and negative symptoms. The relationship between these symptoms and external validators such as cognitive functioning or CT scan abnormalities will be reported in a subsequent investigation.


2021 ◽  
Vol 13 (3) ◽  
pp. 343-358
Author(s):  
Hormazd D. Minwalla ◽  
Peter Wrzesinski ◽  
Allison Desforges ◽  
Joshua Caskey ◽  
Brittany Wagner ◽  
...  

Purpose of Review: This is a comprehensive review of the literature regarding the use of paliperidone in the treatment of schizophrenia and schizoaffective disorder. It covers the background and presentation of schizophrenia and schizoaffective disorder, as well as the mechanism of action and drug information for paliperidone. It covers the existing evidence of the use of paliperidone for the treatment of schizophrenia and schizoaffective disorder. Recent Findings: Schizophrenia and schizoaffective disorder lead to significant cognitive impairment. It is thought that dopamine dysregulation is the culprit for the positive symptoms of schizophrenia and schizoaffective disorder. Similar to other second-generation antipsychotics, paliperidone has affinity for dopamine D2 and serotonin 5-HT2A receptors. Paliperidone was granted approval in the United States in 2006 to be used in the treatment of schizophrenia and in 2009 for schizoaffective disorder. Summary: Schizophrenia and schizoaffective disorder have a large impact on cognitive impairment, positive symptoms and negative symptoms. Patients with either of these mental illnesses suffer from impairments in everyday life. Paliperidone has been shown to reduce symptoms of schizophrenia and schizoaffective disorder.


Pharmaceutics ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1121
Author(s):  
Orwa Albitar ◽  
Sabariah Noor Harun ◽  
Siti Nor Aizah Ahmad ◽  
Siti Maisharah Sheikh Ghadzi

Clozapine remains the drug of choice for resistant schizophrenia. However, its dose-response relationship is still controversial. The current investigation aimed to develop a repeated time-to-positive symptoms improvement following the onset of clozapine treatment in Malaysian schizophrenia spectrum disorder patients. Data from patients’ medical records in the Psychiatric Clinic, Penang General Hospital, were retrospectively analyzed. Several parametric survival models were evaluated using nonlinear mixed-effect modeling software (NONMEM 7.3.0). Kaplan–Meier-visual predictive check (KM-VPC) and sampling-importance resampling (SIR) methods were used to validate the final model. A total of 116 patients were included in the study, with a mean follow-up of 306 weeks. Weibull hazard function best fitted the data. The hazard of positive symptoms improvement decreased 4% for every one-year increase in age over the median of 41 years (adjusted hazard ratio (aHR), 0.96; 95% confidence intervals (95% CI), (0.93–0.98)). However, patients receiving a second atypical antipsychotic agent had four-folds higher hazard (aHR, 4.01; 95% CI, (1.97–7.17)). The hazard increased 2% (aHR, 1.02; 95% CI, (1.01–1.03)) for every 1 g increase in the clozapine six months cumulative dose over the median of 34 g. The developed model provides essential information on the hazard of positive symptoms improvement after the first clozapine dose administration, including modifiable predictors of high clinical importance.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Norika Mitsunaga-Ohmuro ◽  
Noriyuki Ohmuro

Abstract Background This study aimed to investigate whether personal recovery indices in individuals with psychotic disorders would change through hospitalisation in a psychiatric ward and to identify factors associated with these changes. Methods Participants underwent assessments for personal recovery using the Questionnaire about the Process of Recovery, Recovery Assessment Scale, and Self-Identified Stage of Recovery Part A and B; clinical symptoms using the Positive And Negative Syndrome Scale; self-efficacy using the General Self-Efficacy Scale; and self-esteem using the Rosenberg Self-Esteem Scale at baseline and before hospital discharge. Wilcoxon signed-rank tests were administered for longitudinal comparisons between baseline and follow-up. Spearman’s rank correlation tests were conducted to assess correlations of longitudinal changes in personal recovery with baseline values of personal recovery as well as baseline values or changes in the Positive And Negative Syndrome Scale, General Self-Efficacy Scale, and Rosenberg Self-Esteem Scale. Results Thirty-four individuals with psychotic disorders completed the assessments. The average duration of the current hospitalisation was 81.9 days (SD, 15.3; median, 85.0; range, 51–128 days). No significant changes were observed in personal recovery, self-efficacy, and self-esteem, although clinical symptoms significantly improved. Significant correlations were found between positive changes in the Recovery Assessment Scale and improvements in negative symptoms; between positive changes in the General Self-Efficacy Scale and those in personal recovery assessed with the Questionnaire about the Process of Recovery, Recovery Assessment Scale, and Self-Identified Stage of Recovery part A; and between positive changes in the Rosenberg Self-Esteem Scale and those in the Self-Identified Stage of Recovery part B. Conclusion This study revealed longitudinal relationships between changes in personal recovery and amelioration of negative symptoms or enhancement of self-efficacy and self-esteem through moderate length of hospitalisation in individuals with psychotic disorders. Considering the small sample size in this study, further studies with a larger sample size are needed to confirm the present finding. Trial registration The protocol of this study is registered in the UMIN Clinical Trials Registry (UMIN-CTR; ID: UMIN000035131).


2021 ◽  
Vol 36 ◽  
pp. 100909
Author(s):  
Gonzalo Salazar de Pablo ◽  
Filippo Besana ◽  
Vincenzo Arienti ◽  
Ana Catalan ◽  
Julio Vaquerizo-Serrano ◽  
...  

2021 ◽  
pp. 1-11
Author(s):  
J. N. de Boer ◽  
A. E. Voppel ◽  
S. G. Brederoo ◽  
H. G. Schnack ◽  
K. P. Truong ◽  
...  

Abstract Background Clinicians routinely use impressions of speech as an element of mental status examination. In schizophrenia-spectrum disorders, descriptions of speech are used to assess the severity of psychotic symptoms. In the current study, we assessed the diagnostic value of acoustic speech parameters in schizophrenia-spectrum disorders, as well as its value in recognizing positive and negative symptoms. Methods Speech was obtained from 142 patients with a schizophrenia-spectrum disorder and 142 matched controls during a semi-structured interview on neutral topics. Patients were categorized as having predominantly positive or negative symptoms using the Positive and Negative Syndrome Scale (PANSS). Acoustic parameters were extracted with OpenSMILE, employing the extended Geneva Acoustic Minimalistic Parameter Set, which includes standardized analyses of pitch (F0), speech quality and pauses. Speech parameters were fed into a random forest algorithm with leave-ten-out cross-validation to assess their value for a schizophrenia-spectrum diagnosis, and PANSS subtype recognition. Results The machine-learning speech classifier attained an accuracy of 86.2% in classifying patients with a schizophrenia-spectrum disorder and controls on speech parameters alone. Patients with predominantly positive v. negative symptoms could be classified with an accuracy of 74.2%. Conclusions Our results show that automatically extracted speech parameters can be used to accurately classify patients with a schizophrenia-spectrum disorder and healthy controls, as well as differentiate between patients with predominantly positive v. negatives symptoms. Thus, the field of speech technology has provided a standardized, powerful tool that has high potential for clinical applications in diagnosis and differentiation, given its ease of comparison and replication across samples.


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