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Lepage M, Guimond S, Raedler T, McNeely HE, Ungar T, Margolese HC, Best M. Strategies for Achieving Better Cognitive Health in Individuals with Schizophrenia Spectrum: A Focus on the Canadian Landscape: Stratégies pour atteindre une meilleure santé cognitive chez les personnes souffrant du spectre de la schizophrénie : un regard sur le paysage canadien. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2024:7067437241261928. [PMID: 39051555 DOI: 10.1177/07067437241261928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Abstract
BACKGROUND Schizophrenia spectrum disorders (SSDs) are a group of psychiatric disorders characterized by positive and negative symptoms as well as cognitive impairment that can significantly affect daily functioning. METHOD We reviewed evidence-based strategies for improving cognitive function in patients with SSDs, focusing on the Canadian landscape. RESULTS Although antipsychotic medications can address the positive symptoms of SSDs, cognitive symptoms often persist, causing functional impairment and reduced quality of life. Moreover, cognitive function in patients with SSDs is infrequently assessed in clinical practice, and evidence-based recommendations for addressing cognitive impairment in people living with schizophrenia are limited. While cognitive remediation (CR) can improve several domains of cognitive function, most individuals with SSDs are currently not offered such an intervention. While the development of implementation strategies for CR is underway, available and emerging pharmacological treatments may help overcome the limited capacity for psychosocial approaches. Furthermore, combining pharmacological with non-pharmacological interventions may improve outcomes compared to pharmacotherapy or CR alone. CONCLUSION This review highlights the challenges and discusses the potential solutions related to the assessment and management of cognitive impairment to help mental health-care practitioners better manage cognitive impairment and improve daily functioning in individuals with SSDs.
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Affiliation(s)
- Martin Lepage
- Department of Psychiatry, Douglas Research Centre, McGill University, Verdun, Quebec, Canada
| | - Synthia Guimond
- Department of Psychiatry, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
- Department of Psychoeducation and Psychology, University of Quebec in Outaouais, Gatineau, Quebec, Canada
| | - Thomas Raedler
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Heather E McNeely
- Department of Psychiatry and Behavioural Neurosciences & St. Joseph Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada
| | - Thomas Ungar
- Department of Psychiatry, North York General Hospital, Toronto, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Howard C Margolese
- Department of Psychiatry, McGill University Health Centre, Allan Memorial Institute, Montreal, Quebec, Canada
| | - Michael Best
- Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto, Ontario, Canada
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Martínez-Cao C, García-Fernández A, González-Blanco L, Zurrón-Madera P, Sáiz PA, García-Portilla MP, Bobes J. What factors should we modify to promote high functioning and prevent functional decline in people with schizophrenia? Front Psychiatry 2023; 14:1181758. [PMID: 37333927 PMCID: PMC10272392 DOI: 10.3389/fpsyt.2023.1181758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/15/2023] [Indexed: 06/20/2023] Open
Abstract
Background Since research in schizophrenia mainly focuses on deficits and risk factors, we need studies searching for high-functioning protective factors. Thus, our objective was to identify protective (PFs) and risk factors (RFs) separately associated with high (HF) and low functioning (LF) in patients with schizophrenia. Methods We collected information (sociodemographic, clinical, psychopathological, cognitive, and functional) from 212 outpatients with schizophrenia. Patients were classified according to their functional level (PSP) as HF (PSP > 70, n = 30) and LF (PSP ≤ 50, n = 95). Statistical analysis consisted of Chi-square test, Student's t-test, and logistic regression. Results HF model: variance explained: 38.4-68.8%; PF: years of education (OR = 1.227). RFs: receiving a mental disability benefit (OR = 0.062) and scores on positive (OR = 0.719), negative-expression (OR = 0.711), and negative-experiential symptoms (OR = 0.822), and verbal learning (OR = 0.866). LF model: variance explained: 42.0-56.2%; PF: none; RFs: not working (OR = 6.900), number of antipsychotics (OR = 1.910), and scores on depressive (OR = 1.212) and negative-experiential symptoms (OR = 1.167). Conclusion We identified specific protective and risk factors for high and low functioning in patients with schizophrenia and confirmed that high functioning factors are not necessarily the opposite of those associated with low functioning. Only negative experiential symptoms are a shared and inverse factor for high and low functioning. Mental health teams must be aware of protective and risk factors and try to enhance or reduce them, respectively, to help their patients improve or maintain their level of functioning.
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Affiliation(s)
- Clara Martínez-Cao
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
| | - Ainoa García-Fernández
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
| | - Leticia González-Blanco
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Paula Zurrón-Madera
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
| | - Pilar A. Sáiz
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - María Paz García-Portilla
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Julio Bobes
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
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Zhou Q, Pu CC, Huang BJ, Miao Q, Zhou TH, Cheng Z, Gao TQ, Shi C, Yu X. Optimal cutoff scores of the Chinese version of 15-item negative symptom assessment that indicate prominent negative symptoms of schizophrenia. Front Psychiatry 2023; 14:1154459. [PMID: 37139322 PMCID: PMC10149848 DOI: 10.3389/fpsyt.2023.1154459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/27/2023] [Indexed: 05/05/2023] Open
Abstract
Objective The Chinese version of 15-item negative symptom assessment (NSA-15) is an instrument with a three-factor structure specifically validated for assessing negative symptoms of schizophrenia. To provide a reference for future practical applications in the recognition of schizophrenia patients with negative symptoms, this study aimed to determine an appropriate NSA-15 cutoff score regarding negative symptoms to identify prominent negative symptoms (PNS). Methods A total of 199 participants with schizophrenia were recruited and divided into the PNS group (n = 79) and non-PNS group (n = 120) according to scale for assessment of negative symptoms (SANS) scores. Receiver-operating characteristic (ROC) curve analysis was used to determine the optimal NSA-15 cutoff score for identifying PNS. Results The optimal cutoff NSA-15 score for identifying PNS was 40. Communication, emotion and motivation factors in the NSA-15 had cutoffs of 13, 6, and 16, respectively. The communication factor score had slightly better discrimination than scores on the other two factors. The discriminant ability of the global rating of the NSA-15 was not as good as that of the NSA-15 total score (area under the curve (AUC): 0.873 vs. 0.944). Conclusion The optimal NSA-15 cutoff scores for identifying PNS in schizophrenia were determined in this study. The NSA-15 provides a convenient and easy-to-use assessment for identifying patients with PNS in Chinese clinical situations. The communication factor of the NSA-15 also has excellent discrimination.
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Affiliation(s)
- Qi Zhou
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Cheng-cheng Pu
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Bing-jie Huang
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Qi Miao
- Shandong Mental Health Center, Shandong University, Jinan, China
| | - Tian-hang Zhou
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Zhang Cheng
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Tian-Qi Gao
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Chuan Shi
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
- *Correspondence: Chuan Shi, ; Xin Yu,
| | - Xin Yu
- Peking University Sixth Hospital, Beijing, China
- Peking University Institute of Mental Health, Beijing, China
- National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
- *Correspondence: Chuan Shi, ; Xin Yu,
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Abplanalp SJ, Braff DL, Light GA, Nuechterlein KH, Green MF. Understanding Connections and Boundaries Between Positive Symptoms, Negative Symptoms, and Role Functioning Among Individuals With Schizophrenia: A Network Psychometric Approach. JAMA Psychiatry 2022; 79:1014-1022. [PMID: 35976655 PMCID: PMC9386606 DOI: 10.1001/jamapsychiatry.2022.2386] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 06/28/2022] [Indexed: 11/14/2022]
Abstract
Importance Improved understanding of the boundaries and connections between positive symptoms, negative symptoms, and role functioning in schizophrenia is critical, given limited empirical support for clear distinctions among these clinical areas. This study's use of network psychometrics to investigate differential associations and structural overlap between positive symptoms, negative symptoms, and functional domains in schizophrenia may contribute to such understanding. Objective To apply network analysis and community detection methods to examine the interplay and structure of positive symptoms, negative symptoms, and functional domains in individuals with schizophrenia. Design, Setting, and Participants Cross-sectional study in 5 geographically distributed research centers in the US as part of the Consortium on the Genetics of Schizophrenia-2 from July 1, 2010, through January 31, 2014. Data were analyzed from November 2021 to June 2022. Clinically stable outpatients with schizophrenia or schizoaffective disorder were included. Participants were excluded if they had evidence of neurologic or additional Axis I psychiatric disorders. Other exclusion criteria included head injury, stroke, and substance abuse. Of 1415 patients approached, 979 were included in the final analysis. Main Outcomes and Measures Measures included the Scale for the Assessment of Positive Symptoms, the Scale for the Assessment of Negative Symptoms, and the Role Functioning Scale. Main outcomes were expected influence, which assesses the relative importance of items to the network and is defined as the association of an item with all others, and community detection and stability, defined as the presence of statistical clusters and their replicability. Results Participants with complete data included 979 outpatients (mean [SD] age, 46 [11] years; 663 male [67.7%]; 390 participants [40%] self-identified as African American, 30 [3%] as Asian, 7 [0.7%] as Native American, 8 [0.8%] as Pacific Islander, 412 [42.1%] as White, 125 [12.8%] as more than 1 race, and 5 [0.5%] did not identify). Anhedonia had the highest expected influence in the most comprehensive network analysis, showing connections with negative and positive symptoms and functional domains. Positive symptoms had the lowest expected influence. Community detection analyses indicated the presence of 3 clusters corresponding to positive symptoms; negative symptoms and work functioning; functional domains, including independent living, family relationships, and social network; and avolition, anhedonia, and work functioning. Hallucinations and delusions replicated in 1000 bootstrapped samples (100%), while bizarre behavior and thought disorder replicated in 390 (39%) and 570 (57%), respectively. In contrast, negative symptoms and work functioning replicated between 730 (73%) and 770 (77%) samples, respectively, and the remaining functional domains in 940 samples (94%). Conclusions and Relevance The high centrality of anhedonia and its connections with multiple functional domains suggest that it could be a treatment target for global functioning. Interventions for work functioning may benefit from a specialized approach that focuses primarily on avolition.
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Affiliation(s)
- Samuel J. Abplanalp
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - David L. Braff
- Desert Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, San Diego, California
- Department of Psychiatry, University of California San Diego
| | - Gregory A. Light
- Desert Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, San Diego, California
- Department of Psychiatry, University of California San Diego
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Michael F. Green
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
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Golimbet V, Lezheiko T, Mikhailova V, Korovaitseva G, Kolesina N, Plakunova V, Kostyuk G. A study of the association between polymorphisms in the genes for interleukins IL-6 and IL-10 and negative symptoms subdomains in schizophrenia. Indian J Psychiatry 2022; 64:484-488. [PMID: 36458089 PMCID: PMC9707661 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_212_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 06/07/2022] [Accepted: 07/29/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Schizophrenia is a severe mental illness manifested by various symptoms. Negative symptoms (NS) are associated with disability and poor function of patients. The study of NS neurobiology is complicated by their heterogeneity. Factor analysis revealed two distinct NS subdomains with different pathophysiological mechanisms: volitional pathology, including avolition and apathy (AA), and diminished expression (DE). Inflammation is one mechanism that may underlie NS, including their heterogeneity. AIMS To search for the association between genes for interleukins (IL-6 -174 G/C, IL-10 -592 C/A, and IL-10 -1082 G/A) and NS subdomains. MATERIALS AND METHODS The study included 275 patients with schizophrenia. NS factors were calculated based on the Positive and Negative Syndromes Scale. RESULTS There was a significant main effect of IL-10 polymorphisms on the AA, but not the DE subdomain. Mean score on the AA subdomain was higher in the IL-10 -592 AA compared to the CC genotype. Differences between IL-10 -1082 G/A genotypes were dose dependent. The lowest score was observed for the IL-10 -1082 GG genotype. The association between the IL-6 -174 G/C polymorphism and AA scores was close to the level of significance. Patients with the IL-6 -174 GG genotype had higher score compared to the AA genotype. CONCLUSION The results provide further neurobiological evidence for the validity of the NS factor categorization. An imbalance between pro-inflammatory and anti-inflammatory cytokines because of genetic variations is associated with the AA NS subdomain that is supposed to be a more severe aspect of psychopathology compared to the DE.
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Affiliation(s)
- Vera Golimbet
- Laboratory of Clinical Genetics, Mental Health Research Center, Moscow, Russia
| | - Tatyana Lezheiko
- Laboratory of Clinical Genetics, Mental Health Research Center, Moscow, Russia
| | - Vera Mikhailova
- Laboratory of Clinical Genetics, Mental Health Research Center, Moscow, Russia
| | - Galina Korovaitseva
- Laboratory of Clinical Genetics, Mental Health Research Center, Moscow, Russia
| | - Nadezhda Kolesina
- Laboratory of Clinical Genetics, Mental Health Research Center, Moscow, Russia
| | - Victoria Plakunova
- Laboratory of Clinical Genetics, Mental Health Research Center, Moscow, Russia
| | - Georgy Kostyuk
- Moscow Healthcare Department, Clinical Research Center, Mental-Health Clinic No. 1 Named After N.A. Alexeev, Moscow, Russia
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Bozzatello P, Giordano B, Montemagni C, Rocca P, Bellino S. Real-World Functioning in Psychiatric Outpatients: Predictive Factors. J Clin Med 2022; 11:jcm11154400. [PMID: 35956015 PMCID: PMC9369214 DOI: 10.3390/jcm11154400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 06/17/2022] [Accepted: 07/27/2022] [Indexed: 02/04/2023] Open
Abstract
Introduction: Investigations on predictors of real-world functioning were mainly performed in patients with schizophrenia, while fewer studies have been conducted in other psychiatric disorders. Objective: Our objective was to identify clinical, socio-demographic, and illness-related predictors of real-world functioning during 12 months of standard treatments in outpatients with different diagnoses. Methods: Outpatients (n = 1019) with schizophrenia (SZ), major depressive disorder (MDD), bipolar disorder (BD), and borderline personality disorder (BPD) were evaluated with the following tools: SCID-5-CV and SCID-5-PD, CGI-S, SAT-P, DAI-10, and PSP. Change of PSP (ΔPSP) between baseline and 12 months was used as the dependent variable in multiple regression analysis. Results: Higher PSP score at baseline and the achievement of main milestones predicted better functioning after follow-up in all subgroups of patients, with the exception of BD. In the total sample, ΔPSP was related to age of onset, treatments, and quality of life, and inversely related to psychiatric anamnesis, antidepressants, and global symptoms. In SZ, ΔPSP was related to adherence and quality of life. In MDD, ΔPSP was related to psychotherapy and quality of life, and inversely related to antidepressants and global symptoms. In BD, ΔPSP was related to age of onset, antipsychotics, and quality of life, while it was inversely related to psychiatric anamnesis. In BPD, antipsychotics, mood stabilizers, psychotherapy, and quality of life were directly related to ΔPSP, while suicidal attempts and global symptoms had an inverse relation. Conclusions: Several socio-demographic and illness-related variables predicted improvement of real-world functioning, besides psychopathology and severity of the disease.
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Jannini TB, Sansone A, Rossi R, Di Lorenzo G, Toscano M, Siracusano A, Jannini EA. Pharmacological strategies for sexual recovery in men undergoing antipsychotic treatment. Expert Opin Pharmacother 2022; 23:1065-1080. [PMID: 35470768 DOI: 10.1080/14656566.2022.2071124] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION : First- and second-generation antipsychotics are highly accountable for causing a plethora of medical side effects, ranging from metabolic imbalances to sexual dysfunction (SD), that frequently undermine patient-doctor relationships. Nevertheless, to date antipsychotics are one of the best treatment options for dealing with numerous either acute or chronic conditions like agitation, suicidality, depression, dementia, and of course psychosis. For these reasons, clinicians need to handle them wisely to preserve patients' sexual health, avoid poor therapeutic adherence and prevent high rates of therapy drop-out. AREAS COVERED : This article reviews the literature on pharmacologic approaches for management strategies in men who are administered with antipsychotics and developed SD. The etiology of antipsychotic-induced SD is also discussed. EXPERT OPINION : Clinicians must consider sexual life as a major health domain. To do so, a first step would be to measure and monitor sexual function by means of psychometric tools. Secondly, primary prevention should be conducted when choosing antipsychotics, i.e., picking sex-sparing compounds like aripiprazole or brexpiprazole. Thirdly, if sexolytic compounds cannot be dismissed, such as first-generation antipsychotics, risperidone, paliperidone, or amisulpride, then aripiprazole 5-20 mg/day adjunctive therapy has proven to be most effective in normalizing prolactin levels and consequently treating antipsychotic-induced SD.
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Affiliation(s)
- Tommaso B Jannini
- Chair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Andrea Sansone
- Chair of Endocrinology and Medical Sexology (ENDOSEX), Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Rodolfo Rossi
- Chair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Giorgio Di Lorenzo
- Chair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.,IRCCS-Fondazione Santa Lucia, Rome, Italy
| | - Massimiliano Toscano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.,Department of Neurology, Fatebenefratelli Hospital, Isola Tiberina, Rome, Italy
| | - Alberto Siracusano
- Chair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Emmanuele A Jannini
- Chair of Endocrinology and Medical Sexology (ENDOSEX), Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
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Moura BM, Isvoranu AM, Kovacs V, Van Rooijen G, Van Amelsvoort T, Simons CJP, Bartels-Velthuis AA, Bakker PR, Marcelis M, De Haan L, Schirmbeck F. The Puzzle of Functional Recovery in Schizophrenia-Spectrum Disorders-Replicating a Network Analysis Study. Schizophr Bull 2022; 48:871-880. [PMID: 35266000 PMCID: PMC9212097 DOI: 10.1093/schbul/sbac018] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND AND HYPOTHESIS Recovery from psychosis is a complex phenomenon determined by an array of variables mutually impacting each other in a manner that is not fully understood. The aim of this study is to perform an approximated replication of a previous network analysis study investigating how different clinical aspects-covering psychopathology, cognition, personal resources, functional capacity, and real-life functioning-are interrelated in the context of schizophrenia-spectrum disorders. STUDY DESIGN A sample of 843 subjects from a multisite cohort study, with the diagnosis of a schizophrenia-spectrum disorder, was used to estimate a network comprising 27 variables. The connectivity and relative importance of the variables was examined through network analysis. We used a quantitative and qualitative approach to infer replication quality. STUDY RESULTS Functional capacity and real-life functioning were central and bridged different domains of the network, in line with the replicated study. Neurocognition, interpersonal relationships, and avolition were also key elements of the network, in close relation to aspects of functioning. Despite significant methodological differences, the current study could substantially replicate previous findings. CONCLUSIONS Results solidify the network analysis approach in the context of mental disorders and further inform future studies about key variables in the context of recovery from psychotic disorders.
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Affiliation(s)
- Bernardo Melo Moura
- To whom correspondence should be addressed; Serviço de Psiquiatria e Saúde Mental, Hospital de Santa Maria, 1649-035, Lisboa, Portugal; tel: +351-217-805-000; fax: +351-217-805-610; e-mail:
| | - Adela-Maria Isvoranu
- Department of Psychology, Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands
| | - Veronika Kovacs
- Department of Psychiatry, Amsterdam University Medical Center, Location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Geeske Van Rooijen
- Department of Psychiatry, Amsterdam University Medical Center, Location AMC, University of Amsterdam, Amsterdam, The Netherlands,Department of Psychiatry, Dijklander Ziekenhuis, Hoorn, The Netherlands
| | - Therese Van Amelsvoort
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Claudia J P Simons
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands,GGzE Institute for Mental Health Care Eindhoven, Eindhoven, The Netherlands
| | - Agna A Bartels-Velthuis
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Groningen, The Netherlands
| | - P Roberto Bakker
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands,Research Department, Arkin Institute for Mental Health, Amsterdam, The Netherlands
| | - Machteld Marcelis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands,GGzE Institute for Mental Health Care Eindhoven, Eindhoven, The Netherlands
| | - Lieuwe De Haan
- Department of Psychiatry, Amsterdam University Medical Center, Location AMC, University of Amsterdam, Amsterdam, The Netherlands,Research Department, Arkin Institute for Mental Health, Amsterdam, The Netherlands
| | - Frederike Schirmbeck
- Department of Psychiatry, Amsterdam University Medical Center, Location AMC, University of Amsterdam, Amsterdam, The Netherlands,Research Department, Arkin Institute for Mental Health, Amsterdam, The Netherlands
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Morillo-Kraus E, Fonseca-Pedrero E, Senín-Calderón C, Rodríguez-Testal JF. Perception of belonging and social anticipatory pleasure: Mediating variables of negative symptoms in the general population. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-02912-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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García-Fernández L, Romero-Ferreiro V, Sánchez-Pastor L, Dompablo M, Martínez-Gras I, Espejo-Saavedra JM, Rentero D, Aparicio AI, Alvarez-Mon MA, Lahera G, Lee J, Santos JL, Rodriguez-Jimenez R. Impact of Negative Symptoms on Functioning and Quality of Life in First Psychotic Episodes of Schizophrenia. J Clin Med 2022; 11:jcm11040983. [PMID: 35207256 PMCID: PMC8879613 DOI: 10.3390/jcm11040983] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 02/08/2022] [Accepted: 02/11/2022] [Indexed: 11/16/2022] Open
Abstract
Negative symptoms are not considered a unitary construct encompassing two different domains, diminished expression, and avolition-apathy. The aim of this study was to explore the relationships between each domain and psychosocial functioning and quality of life in people with a first psychotic episode of schizophrenia. In total, 61 outpatients were assessed with the Clinical Assessment Interview for Negative Symptoms (CAINS), The Functioning Assesment Short Test (FAST) and The Quality of Life Scale (QLS). The mean global score for CAINS was 21.5 (SD: 15.6), with a CAINS Avolition-Apathy (MAP) score of 17.0 (SD: 11.8), and CAINS Diminished Expression (EXP) score of 4.5 (SD: 5.0). The mean FAST score was 31.9 (SD: 18.9), and 41.1 (SD: 17.9) for QLS. Linear regression analysis revealed a significant (F(4,53) = 15.65, p < 0.001) relationship between MAP and EXP CAINS’ score and FAST score. CAINS-MAP was more predictive of FAST scores (β = 0.44, p = 0.001) than CAINS-EXP (β = 0.37, p = 0.007). Linear regression analysis for QLS revealed a significant model (F(4,56) = 29.29, p < 0.001). The standardized regression weight for the CAINS-MAP was around three times greater (β = −0.63, p < 0.001) than for CAINS-EXP (β = −0.24, p = 0.024). The two different domains are associated differently with functionality and quality of life.
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Affiliation(s)
- Lorena García-Fernández
- Clinical Medicine Department, Universidad Miguel Hernández, 03550 Alicante, Spain;
- Psychiatry Department, Hospital Universitario de San Juan, 03550 Alicante, Spain
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 28029 Madrid, Spain; (V.R.-F.); (M.D.); (D.R.); (A.I.A.); (G.L.); (J.L.S.)
| | - Verónica Romero-Ferreiro
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 28029 Madrid, Spain; (V.R.-F.); (M.D.); (D.R.); (A.I.A.); (G.L.); (J.L.S.)
- Quality and Academic Compliance Unit, Universidad Europea de Madrid, 28670 Madrid, Spain
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas 12), 28041 Madrid, Spain; (L.S.-P.); (I.M.-G.); (J.M.E.-S.)
| | - Luis Sánchez-Pastor
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas 12), 28041 Madrid, Spain; (L.S.-P.); (I.M.-G.); (J.M.E.-S.)
| | - Mónica Dompablo
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 28029 Madrid, Spain; (V.R.-F.); (M.D.); (D.R.); (A.I.A.); (G.L.); (J.L.S.)
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas 12), 28041 Madrid, Spain; (L.S.-P.); (I.M.-G.); (J.M.E.-S.)
- Cardenal Cisneros, Centro de Enseñanza Superior Adscrito a la Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Isabel Martínez-Gras
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas 12), 28041 Madrid, Spain; (L.S.-P.); (I.M.-G.); (J.M.E.-S.)
- RETIC (Network of Addictive Conditions), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Juan Manuel Espejo-Saavedra
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas 12), 28041 Madrid, Spain; (L.S.-P.); (I.M.-G.); (J.M.E.-S.)
- Legal Medicine, Psychiatry and Pathology Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - David Rentero
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 28029 Madrid, Spain; (V.R.-F.); (M.D.); (D.R.); (A.I.A.); (G.L.); (J.L.S.)
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas 12), 28041 Madrid, Spain; (L.S.-P.); (I.M.-G.); (J.M.E.-S.)
| | - Ana Isabel Aparicio
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 28029 Madrid, Spain; (V.R.-F.); (M.D.); (D.R.); (A.I.A.); (G.L.); (J.L.S.)
- Psychiatry Department, Hospital Virgen de la Luz, 16002 Cuenca, Spain
- Neurobiological Research Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071 Cuenca, Spain
| | - Miguel Angel Alvarez-Mon
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcalá de Henares, Spain;
- Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain
| | - Guillermo Lahera
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 28029 Madrid, Spain; (V.R.-F.); (M.D.); (D.R.); (A.I.A.); (G.L.); (J.L.S.)
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcalá de Henares, Spain;
| | - Jimmy Lee
- Research Division, Institute of Mental Health, Singapore 539747, Singapore;
- North Region & Department of Psychosis, Institute of Mental Health, Singapore 539747, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 639798, Singapore
| | - Jose Luis Santos
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 28029 Madrid, Spain; (V.R.-F.); (M.D.); (D.R.); (A.I.A.); (G.L.); (J.L.S.)
- Psychiatry Department, Hospital Virgen de la Luz, 16002 Cuenca, Spain
- Neurobiological Research Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071 Cuenca, Spain
| | - Roberto Rodriguez-Jimenez
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 28029 Madrid, Spain; (V.R.-F.); (M.D.); (D.R.); (A.I.A.); (G.L.); (J.L.S.)
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas 12), 28041 Madrid, Spain; (L.S.-P.); (I.M.-G.); (J.M.E.-S.)
- Legal Medicine, Psychiatry and Pathology Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Correspondence: ; Tel.: +34-91-390-85-36
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Gao T, Huang Z, Huang B, Zhou T, Shi C, Yu X, Pu C. Negative symptom dimensions and social functioning in Chinese patients with schizophrenia. Front Psychiatry 2022; 13:1033166. [PMID: 36561640 PMCID: PMC9763280 DOI: 10.3389/fpsyt.2022.1033166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/21/2022] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Negative symptoms can seriously affect social functioning in patients with schizophrenia. However, the role of various components of negative symptoms in social functioning remains unclear. This study aimed to explore the associations among three different dimensions of negative symptoms (i.e., communication, emotion, and motivation) and social functioning to identify potential therapeutic targets. METHODS This cross-sectional study enrolled 202 Chinese participants with schizophrenia. Negative symptoms were evaluated using the Negative Symptom Assessment (NSA). Social functioning was represented by the Personal and Social Performance Scale (PSP) total score and employment status. Correlation analysis was conducted to clarify the relationship between negative symptoms and the PSP total score. Regression analysis was performed to explore the determinants of the PSP total score and employment status, considering negative symptoms and possible confounders, such as demographic features, positive symptoms, cognitive symptoms, depressive symptoms, and extrapyramidal side effects. RESULTS The PSP total score was correlated with all three dimensions of negative symptoms (i.e., emotion, motivation, and communication; rs = -0.509, -0.662, and -0.657, respectively). Motivation, instead of emotion or communication, predicted both low PSP total scores and unemployment. CONCLUSION Social functioning in patients with schizophrenia was significantly related to motivation. Further studies should focus on motivation and consider it as a therapeutic target to improve patients' social functioning.
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Affiliation(s)
- Tianqi Gao
- Peking University Sixth Hospital, Beijing, China.,Peking University Institute of Mental Health, Beijing, China.,National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Zetao Huang
- Peking University Sixth Hospital, Beijing, China.,Peking University Institute of Mental Health, Beijing, China.,National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Bingjie Huang
- Peking University Sixth Hospital, Beijing, China.,Peking University Institute of Mental Health, Beijing, China.,National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Tianhang Zhou
- Peking University Sixth Hospital, Beijing, China.,Peking University Institute of Mental Health, Beijing, China.,National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Chuan Shi
- Peking University Sixth Hospital, Beijing, China.,Peking University Institute of Mental Health, Beijing, China.,National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Xin Yu
- Peking University Sixth Hospital, Beijing, China.,Peking University Institute of Mental Health, Beijing, China.,National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Chengcheng Pu
- Peking University Sixth Hospital, Beijing, China.,Peking University Institute of Mental Health, Beijing, China.,National Health Commission Key Laboratory of Mental Health, Peking University, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
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