Opinion paper: poor response to treatment of depression in people in high occupational levels

2018 ◽  
Vol 49 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Laura Mandelli ◽  
Alessandro Serretti ◽  
Stefano Porcelli ◽  
Daniel Souery ◽  
Julien Mendlewicz ◽  
...  
Keyword(s):  
Treatment Compliance ◽  
Poor Response ◽  
Recovery Process ◽  
Working Environment ◽  
Response To Treatment ◽  
Future Research ◽  
Residual Symptoms ◽  
Treatment Of Depression ◽  
High Cognitive Function ◽  
High Level

AbstractThe working environment may have a significant effect on response to treatment of depression and this issue has not yet been sufficiently addressed in the scientific literature. There is evidence showing that being engaged in high-level positions can be an obstacle to the success of treatment. This article discusses the few evidence in the literature and some of the possible mechanisms involved. Specific personality attributes and difficulties in adapting to depression may delay access to care and may also reduce treatment compliance. The presence of stress in jobs that require high cognitive function and lack of social support may be elements that hinder the recovery process. Residual symptoms that impact on cognitive functions may undermine adherence to treatment and adversely affect the response. The implications of these issues are potentially relevant for clinical practice in the treatment of depression and for future research.

High occupational level is associated with poor response to treatment of depression

2016 ◽  
Vol 26 ◽  
pp. S468
Author(s):  
L. Mandelli ◽  
A. Serretti ◽  
D. Souery ◽  
J. Mendlewicz ◽  
S. Kasper ◽  
...  
Keyword(s):  
Poor Response ◽  
Response To Treatment ◽  
Occupational Level ◽  
Treatment Of Depression

High occupational level is associated with poor response to treatment of depression

2016 ◽  
Vol 26 (8) ◽  
pp. 1320-1326 ◽  
Author(s):  
Laura Mandelli ◽  
Alessandro Serretti ◽  
Daniel Souery ◽  
Julien Mendlewicz ◽  
Siegfried Kasper ◽  
...  
Keyword(s):  
Poor Response ◽  
Response To Treatment ◽  
Occupational Level ◽  
Treatment Of Depression

Cognitive remediation for inpatients with psychosis: a systematic review and meta-analysis

2020 ◽  
Vol 50 (7) ◽  
pp. 1062-1076
Author(s):  
Matteo Cella ◽  
Tom Price ◽  
Holly Corboy ◽  
Juliana Onwumere ◽  
Sukhi Shergill ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Meta Analysis ◽  
Random Effect ◽  
Cognitive Remediation ◽  
Poor Response ◽  
Response To Treatment ◽  
Future Research ◽  
Post Discharge ◽  
Global Functioning ◽  
Cognitive Difficulties

AbstractCognitive difficulties are common in people with psychosis and associated with considerable disability. Cognitive remediation (CR) can reduce the burden of cognitive difficulties and improve functioning. While mental health care has predominantly shifted to the community, people with greater illness severity and complexity, and those with poor response to treatment and concomitant greater cognitive difficulties, continue to receive inpatient care. The aim of this study is to review and evaluate the acceptability and efficacy of CR for inpatients with psychosis. A systematic search was used to identify randomized controlled trials of CR for inpatients with psychosis. Demographic and clinical information was extracted by independent raters together with therapy outcomes. Study quality was assessed using the Cochrane Collaboration Risk of Bias Assessment tool. Standardized mean change for cognitive and functional outcomes was calculated using Hedges's g and used to infer therapy effects with meta-analysis. Twenty studies were identified considering 1509 participants. Results from random-effect models suggested that CR was effective in improving processing speed (g = 0.48), memory (g = 0.48) and working memory (g = 0.56). While there was an indication of improvements in the levels of vocational, social and global functioning, these were less reliable. On average, 7% of participants dropped-out of treatment. Studies methodological quality was moderate. CR is an acceptable intervention for inpatients with psychosis and can lead to significant cognitive improvements. Evidence for improvement in functioning requires more robust and converging evidence. Future research should extend the evaluation of inpatient CR to subsequent post-discharge community functioning and further need for care.

scholarly journals Is atomoxetine effective in some comorbid mental disorders in ADHD?

2016 ◽  
Vol 63 (1) ◽  
pp. 29-32
Author(s):  
D. Cesneková ◽  
E. Šnircová ◽  
G. Nosáľová ◽  
I. Ondrejka
Keyword(s):  
Acute Phase ◽  
Psychiatric Comorbidity ◽  
Paediatric Population ◽  
Antidepressant Effect ◽  
Residual Symptoms ◽  
Hyperactivity Disorder ◽  
Noradrenaline Reuptake ◽  
Treatment Of Depression ◽  
High Level ◽  
Comorbid Mental Disorders

Abstract Attention-Deficit/Hyperactivity Disorder (ADHD) is connected with high level of psychiatric comorbidity in paediatric population. Depressive disorder is common comorbid disorder co-existing with ADHD. Atomoxetine is worldwide approved for treatment of ADHD in paediatric population; in addition atomoxetine is effective and safe in treatment of some comorbid disorders in ADHD. Pharmacotherapy of depression is limited and residual symptoms are common. Fluoxetine is currently considered to be the gold standard of treatment of depression, but effectiveness of acute phase of treatment is not sufficient. Atomoxetine as a selective noradrenaline reuptake inhibitor or olanzapine as a multi receptors antagonist drug in combination with fluoxetine could be perspective augmented treatment strategy of depression just for their antidepressant effect. The aim of our following study is to evaluate and compare effectiveness and safety of monotherapy and combined/augmented therapy in acute phase of depression treatment in adolescence, as well as introduce complex modern research methodology of effectiveness and safety of treatment.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

Criteria positive and criteria negative anaphylaxis, with a focus on undifferentiated somatoform idiopathic anaphylaxis: A review and case series

2020 ◽  
Vol 41 (6) ◽  
pp. 436-441 ◽  
Author(s):  
Daniel A. Rosloff ◽  
Kunal Patel ◽  
Paul J. Feustel ◽  
Jocelyn Celestin
Keyword(s):  
Diagnostic Criteria ◽  
Statistical Significance ◽  
Case Series ◽  
Poor Response ◽  
Response To Treatment ◽  
Fisher Exact Test ◽  
Subjective Symptoms ◽  
Significant Difference ◽  
Physical Findings ◽  
Idiopathic Anaphylaxis

Background: Undifferentiated somatoform (US) idiopathic anaphylaxis (IA) is considered a psychogenic disorder characterized by a lack of observable physical findings and poor response to treatment. Although failure to diagnose true anaphylaxis can have disastrous consequences, identification of US-IA is crucial to limit unnecessary expenses and use of health care resources. Objective: To better define the presentation and understand the potential relationship between US-IA and underlying psychiatric comorbidities. Methods: We retrospectively reviewed 110 visits by 107 patients to our institution for evaluation and management of anaphylaxis over a 1-year period. The patients were classified as having either criteria positive (CP) or criteria negative (CN) anaphylaxis based on whether they met Second National Institute of Allergy and Infectious Disease/Food Allergy and Anaphylaxis Network Symposium criteria for the clinical diagnosis of anaphylaxis. Patient characteristics, including objective and subjective signs and symptoms, and the presence of psychiatric diagnoses were collected and analyzed. Statistical significance was assessed by using the Fisher exact test. A literature review of US-IA and other psychogenic forms of anaphylaxis was performed. Results: Patients with CP anaphylaxis were more likely to present with hypotension, wheezing, urticaria, and vomiting than were patients with CN anaphylaxis. The patients with CN anaphylaxis were more likely to present with subjective symptoms of sensory throat tightness or swelling compared with patients with CP anaphylaxis. No significant difference was detected in the prevalence of psychiatric conditions between the two groups. Conclusion: Patients who met previously established diagnostic criteria for anaphylaxis were more likely to present with objective physical findings than those who did not meet criteria for true anaphylaxis. CN patients who presented for treatment of anaphylaxis were more likely to present with subjective symptoms. Formal diagnostic criteria should be used by clinicians when evaluating patients with suspected anaphylaxis.

Serum of 8-OHdG as a potential biomarker of oxidative DNA damage in workers exposed to harmful working environments

2020 ◽  
pp. 783-783
Author(s):  
I. A. Umnyagina ◽  
L. A. Strakhova ◽  
T. V. Blinova
Keyword(s):  
Oxidative Stress ◽  
Dna Damage ◽  
Blood Serum ◽  
Oxidative Dna Damage ◽  
Working Environment ◽  
Working Environments ◽  
Potential Biomarker ◽  
High Level ◽  
Damage Marker

In the blood serum of 70% individuals exposed to harmful factors of the working environment, a high level of oxidative stress and the DNA damage marker 8-Hydroxy-2’-Deoxyguanosine (8-OHdG) were detected.

Method of virtual reality for early comprehensive rehabilitation of patients with acute stroke

2020 ◽  
pp. 39-45
Author(s):  
N. Nozdryukhina ◽  
E. Kabayeva ◽  
E. Kirilyuk ◽  
K. Tushova ◽  
A. Karimov
Keyword(s):  
Virtual Reality ◽  
Literature Review ◽  
Acute Stroke ◽  
Functional Outcome ◽  
Recovery Process ◽  
Stroke Patients ◽  
Post Stroke ◽  
Stroke Disability ◽  
Comprehensive Rehabilitation ◽  
High Level

Despite significant advances in the treatment and rehabilitation of stroke, level of post-stroke disability remains at a fairly high level. Recent innovative developments in the rehabilitation of these patients provide good results in terms of functional outcome. One of such developments is method of virtual reality (VR), which affects not only the speed and volume of regaining movement, as well as coordination, but also normalizes the psycho-emotional background, increasing the motivation of patients to improve the recovery process. This article provides a literature review of the use of the VR method in the rehabilitation of post-stroke patients, neurophysiological aspects of recovery of lost functions using this method are considered.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

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