1
|
van Dellen E. Precision psychiatry: predicting predictability. Psychol Med 2024; 54:1500-1509. [PMID: 38497091 DOI: 10.1017/s0033291724000370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Precision psychiatry is an emerging field that aims to provide individualized approaches to mental health care. An important strategy to achieve this precision is to reduce uncertainty about prognosis and treatment response. Multivariate analysis and machine learning are used to create outcome prediction models based on clinical data such as demographics, symptom assessments, genetic information, and brain imaging. While much emphasis has been placed on technical innovation, the complex and varied nature of mental health presents significant challenges to the successful implementation of these models. From this perspective, I review ten challenges in the field of precision psychiatry, including the need for studies on real-world populations and realistic clinical outcome definitions, and consideration of treatment-related factors such as placebo effects and non-adherence to prescriptions. Fairness, prospective validation in comparison to current practice and implementation studies of prediction models are other key issues that are currently understudied. A shift is proposed from retrospective studies based on linear and static concepts of disease towards prospective research that considers the importance of contextual factors and the dynamic and complex nature of mental health.
Collapse
Affiliation(s)
- Edwin van Dellen
- Department of Psychiatry and University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
- Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| |
Collapse
|
2
|
Chhagan U, Ntlantsana V, Karim E, Thela L, Tomita A, Chiliza B, Paruk S. Clinical presentation of first episode psychosis in people with and without HIV in KwaZulu-Natal, South Africa. Early Interv Psychiatry 2024. [PMID: 38803138 DOI: 10.1111/eip.13561] [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: 03/29/2023] [Revised: 12/06/2023] [Accepted: 05/09/2024] [Indexed: 05/29/2024]
Abstract
AIM Mental disorders and HIV are the main contributors to the increase in years lived with disability rates per person in sub-Saharan Africa. A complex inter-relationship exists between HIV and mental illness, especially in a region with a high HIV prevalence. We examined the duration of untreated psychosis (DUP), and the nature of psychotic and cognitive symptoms in people with first episode psychosis (FEP) living with and without HIV. METHODS Adults aged between 18 and 45 years were assessed using a clinical interview, physical examination and several psychiatric tools. These included the Mini International Neuro-psychiatric Interview to confirm psychosis, Positive and Negative Syndrome Scale, International HIV Dementia Scale and other scales to measure symptom variables. HIV ELISA was used for HIV serology testing, with measures being carried out within 6 weeks of the first presentation. RESULTS Of the 172 people presenting with FEP, 36 (21%) had comorbid HIV, those with both being older and more likely to be female (p < .001). Clinically, participants with FEP and HIV scored lower on the positive subscale (p = .008). There were no statistically significant differences for DUP or cognitive screening. Of those living with HIV and FEP (n = 36) comorbidity, nine were newly diagnosed with HIV at the time of the study. CONCLUSION Individuals presenting with FEP and comorbid HIV were older, female and reported more mood symptoms. The identification of nine new HIV infections also reflects the ongoing need to test for HIV in people presenting with severe mental illness.
Collapse
Affiliation(s)
- Usha Chhagan
- Department of Psychiatry, College of Health Sciences, Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa
| | - Vuyokazi Ntlantsana
- Department of Psychiatry, College of Health Sciences, Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa
| | - Enver Karim
- Department of Psychiatry, College of Health Sciences, Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa
| | - Lindokuhle Thela
- Department of Psychiatry, College of Health Sciences, Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa
| | - Andrew Tomita
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for Rural Health, School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Bonginkosi Chiliza
- Department of Psychiatry, College of Health Sciences, Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa
| | - Saeeda Paruk
- Department of Psychiatry, College of Health Sciences, Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa
| |
Collapse
|
3
|
Szwajca M, Kazek G, Śmierciak N, Mizera J, Pomierny-Chamiolo L, Szwajca K, Biesaga B, Pilecki M. GDNF and miRNA-29a as biomarkers in the first episode of psychosis: uncovering associations with psychosocial factors. Front Psychiatry 2024; 15:1320650. [PMID: 38645418 PMCID: PMC11027163 DOI: 10.3389/fpsyt.2024.1320650] [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: 10/12/2023] [Accepted: 03/14/2024] [Indexed: 04/23/2024] Open
Abstract
Aim Schizophrenia involves complex interactions between biological and environmental factors, including childhood trauma, cognitive impairments, and premorbid adjustment. Predicting its severity and progression remains challenging. Biomarkers like glial cell line-derived neurotrophic factor (GDNF) and miRNA-29a may bridge biological and environmental aspects. The goal was to explore the connections between miRNAs and neural proteins and cognitive functioning, childhood trauma, and premorbid adjustment in the first episode of psychosis (FEP). Method This study included 19 FEP patients who underwent clinical evaluation with: the Childhood Trauma Questionnaire (CTQ), the Premorbid Adjustment Scale (PAS), the Positive and Negative Syndrome Scale (PANSS), and the Montreal Cognitive Assessment Scale (MoCA). Multiplex assays for plasma proteins were conducted with Luminex xMAP technology. Additionally, miRNA levels were quantitatively determined through RNA extraction, cDNA synthesis, and RT-qPCR on a 7500 Fast Real-Time PCR System. Results Among miRNAs, only miR-29a-3p exhibited a significant correlation with PAS-C scores (r = -0.513, p = 0.025) and cognitive improvement (r = -0.505, p = 0.033). Among the analyzed proteins, only GDNF showed correlations with MoCA scores at the baseline and after 3 months (r = 0.533, p = 0.0189 and r = 0.598, p = 0.007), cognitive improvement (r = 0.511, p = 0.025), and CTQ subtests. MIF concentrations correlated with the PAS-C subscale (r = -0.5670, p = 0.011). Conclusion GDNF and miR-29a-3p are promising as biomarkers for understanding and addressing cognitive deficits in psychosis. This study links miRNA and MIF to premorbid adjustment and reveals GDNF's unique role in connection with childhood trauma.
Collapse
Affiliation(s)
- Marta Szwajca
- Department of Psychiatry, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Grzegorz Kazek
- Department of Pharmacological Screening, Jagiellonian University Medical College, Krakow, Poland
| | - Natalia Śmierciak
- Department of Psychiatry, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Józef Mizera
- Department of Toxicology, Jagiellonian University Medical College, Kraków, Poland
| | | | - Krzysztof Szwajca
- Department of Psychiatry, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Beata Biesaga
- Faculty of Medicine and Health Sciences, Andrzej Frycz Modrzewski Krakow University, Krakow, Poland
| | - Maciej Pilecki
- Department of Psychiatry, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
| |
Collapse
|
4
|
Buchwald K, Narayanan A, Siegert RJ, Vignes M, Arrowsmith K, Sandham M. Centrality statistics of symptom networks of schizophrenia: a systematic review. Psychol Med 2024; 54:1061-1073. [PMID: 38174555 DOI: 10.1017/s003329172300363x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
The network theory of psychological disorders posits that systems of symptoms cause, or are associated with, the expression of other symptoms. Substantial literature on symptom networks has been published to date, although no systematic review has been conducted exclusively on symptom networks of schizophrenia, schizoaffective disorder, and schizophreniform (people diagnosed with schizophrenia; PDS). This study aims to compare statistics of the symptom network publications on PDS in the last 21 years and identify congruences and discrepancies in the literature. More specifically, we will focus on centrality statistics. Thirty-two studies met the inclusion criteria. The results suggest that cognition, and social, and occupational functioning are central to the network of symptoms. Positive symptoms, particularly delusions were central among participants in many studies that did not include cognitive assessment. Nodes representing cognition were most central in those studies that did. Nodes representing negative symptoms were not as central as items measuring positive symptoms. Some studies that included measures of mood and affect found items or subscales measuring depression were central nodes in the networks. Cognition, and social, and occupational functioning appear to be core symptoms of schizophrenia as they are more central in the networks, compared to variables assessing positive symptoms. This seems consistent despite heterogeneity in the design of the studies.
Collapse
Affiliation(s)
- Khan Buchwald
- School of Clinical Sciences, Auckland University of Technology, 90 Akoranga Drive, Northcote, Auckland 0627, New Zealand
| | - Ajit Narayanan
- Engineering, Computer, and Mathematical Sciences, Auckland University of Technology, 90 Akoranga Drive, Northcote, Auckland, New Zealand
| | - Richard John Siegert
- School of Clinical Sciences, Auckland University of Technology, 90 Akoranga Drive, Northcote, Auckland 0627, New Zealand
| | - Matthieu Vignes
- School of Mathematical and Computational Sciences, Massey University, Tennent Drive, Palmerston North, New Zealand
| | - Kim Arrowsmith
- School of Clinical Sciences, Auckland University of Technology, 90 Akoranga Drive, Northcote, Auckland 0627, New Zealand
| | | |
Collapse
|
5
|
Leucht S, Dombi ZB, Szabó P, Barabássy Á, Levine SZ. Single trajectory treatment response for predominant negative symptoms: Post-hoc analysis of a clinical trial with cariprazine and risperidone. Schizophr Res 2023; 261:24-30. [PMID: 37688910 DOI: 10.1016/j.schres.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 09/02/2023] [Accepted: 09/04/2023] [Indexed: 09/11/2023]
Abstract
Examining the heterogeneity of negative symptoms of schizophrenia contributes to the identification of available treatment targets. Generally, prior evidence classified three to four symptom treatment response trajectory groups over the course of positive symptoms, yet, no evidence exists regarding the heterogeneity of medium-term response to predominant negative symptoms. The current post-hoc analysis aims to identify the heterogeneity in negative symptom treatment response trajectories among patients with predominant negative symptoms who received either cariprazine or risperidone for 26 weeks. Treatment response was analyzed based on the: the Positive and Negative Syndrome Scale Factor Score for Negative Symptoms (PANSS-FSNS), and the Clinical Global Impression Severity (CGIS) and Improvement (CGII) scales. To identify subgroups of patients with a similar course of treatment response, group-based trajectory modelling was utilized. Results demonstrated that in comparison with competing models, a single trajectory best described the treatment response of patients with predominant negative symptoms. The results indicate that patients with predominant negative symptoms with over ten years of schizophrenia respond rapidly to adequate treatment and follow a course of steady improvement.
Collapse
Affiliation(s)
- Stefan Leucht
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Klinikum rechts der Isar, Technische Universität München, München, Germany
| | | | - Péter Szabó
- Medical Division, Gedeon Richter Plc., Budapest, Hungary
| | | | | |
Collapse
|
6
|
Chen G, Chen J, Tian H, Lin C, Zhu J, Ping J, Chen L, Zhuo C, Jiang D. Validity and reliability of a Chinese version of the self-evaluation of negative symptoms. Brain Behav 2023; 13:e2924. [PMID: 36908244 PMCID: PMC10097046 DOI: 10.1002/brb3.2924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/19/2023] [Accepted: 02/04/2023] [Indexed: 03/14/2023] Open
Abstract
The negative symptoms of schizophrenia can be present at any clinical stage, but evaluating the negative symptoms always remains challenging. To screen the negative symptoms effectively, self-evaluation should be introduced. To date, professional psychiatrists used almost all of the scales available to screen the negative symptoms but could not obtain an accurate outcome. At the same time, an advanced self-assessment scale is needed to accompany the patients' self-feeling-based treatment strategies to understand their feelings about their symptoms. Hence, Chinese self-evaluation of negative symptoms (SNS) should be introduced in China. This study aims to examine the validity and reliability of the Chinese version of SNS. Two hundred patients with schizophrenia were included in this study and were evaluated entirely with the self-assessed negative symptoms by the Chinese version. The correlation analysis was performed between SNS and the Scale for Assessment of Negative Symptoms (SANS) to assess the criterion validity of SNS for screening negative symptoms. Exploratory factor analysis was used to determine the constructive validity of the SNS. Two senior professional psychiatrists were involved in this assessment based on their clinical experience and capability to define the severity of the negative symptoms. Receiver operating characteristic curve (ROC) analysis was performed to assess the cutoff point of SNS. Cronbach's alpha coefficient and intraclass correlation (ICC) coefficient were used to determine the reliability of SNS. We have the following findings: The Chinese version of SNS demonstrated a significant correlation with the SANS (r = .774, p < .05). Exploratory factor analysis demonstrated that the factor loading varies from .442 to .788. ROC analysis demonstrated that at SNS ≥ 8, the patients demonstrated a mild severity of negative symptoms, and at SNS ≥ 15, the patients demonstrated a severe severity of negative symptoms. Subsequently, 9 < SNS < 14 was defined as a moderate severity of negative symptoms. The Cronbach's alpha and ICC coefficients of the Chinese version SNS were .877 and .774, respectively. Our results showed that the acceptable validity and reliability of the Chinese version of SNS confirmed that SNS is an ideal tool for self-assessment of the negative symptoms in patients with schizophrenia.
Collapse
Affiliation(s)
- Guangdong Chen
- Department of PsychiatryWenzhou Seventh Peoples HospitalWenzhouChina
| | - Jiayue Chen
- Department of PsychiatryTianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center HospitalTianjinChina
| | - Hongjun Tian
- Department of PsychiatryTianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center HospitalTianjinChina
| | - Chongguang Lin
- Department of PsychiatryWenzhou Seventh Peoples HospitalWenzhouChina
| | - Jingjing Zhu
- Department of PsychiatryWenzhou Seventh Peoples HospitalWenzhouChina
| | - Jing Ping
- Department of PsychiatryWenzhou Seventh Peoples HospitalWenzhouChina
| | - Langlang Chen
- Department of PsychiatryWenzhou Seventh Peoples HospitalWenzhouChina
| | - Chuanjun Zhuo
- Department of PsychiatryWenzhou Seventh Peoples HospitalWenzhouChina
- Department of PsychiatryTianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center HospitalTianjinChina
- Department of Psychiatry, Tianjin Anding HospitalTianjin Mental Health Center of Tianjin Medical UniversityTianjinChina
| | - Deguo Jiang
- Department of PsychiatryWenzhou Seventh Peoples HospitalWenzhouChina
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
Demyttenaere K, Anthonis E, Acsai K, Correll CU. Depressive Symptoms and PANSS Symptom Dimensions in Patients With Predominant Negative Symptom Schizophrenia: A Network Analysis. Front Psychiatry 2022; 13:795866. [PMID: 35546936 PMCID: PMC9081724 DOI: 10.3389/fpsyt.2022.795866] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Schizophrenia is a severe psychiatric disorder with a large symptomatic heterogeneity. Moreover, many patients with schizophrenia present with comorbid psychiatric symptoms or disorders. The relation between depressive symptoms and negative symptoms, such as blunted affect, alogia, anhedonia, asociality and avolition, is particularly intriguing. The negative symptoms can be primary or secondary of depression or overlapping with depressive symptoms. The aim of the present network analysis was to better understand the interactions between depressive symptoms and the different symptoms of schizophrenia and to investigate whether negative symptoms and depressive symptoms can be better delineated. METHODS A network analysis on the baseline item scores of the Positive and Negative Syndrome Scale (PANSS) and Calgary Depression Scale for Schizophrenia (CDSS) from the cariprazine-risperidone study in patients with predominant negative symptoms (PNS) was performed. The connections between all these symptoms (PANSS and CDSS) were investiged: node strength and network centrality were estimated and the Mohr 5-factor model of the PANSS was applied to test the validity of its different symptoms clusters. RESULTS Across 460 patients with schizophrenia and PNS, the most central symptom (largest node strength) was depression (PANSS) followed by depression (CDSS), anxiety, lack of judgment and insight and tension. The PANSS negative symptom cluster together and was only poorly connected with CDSS depresson symptoms. The Mohr 5 factor model was clearly recognized in the overall clustering of symptoms. CONCLUSION This network analysis suggests that depression and anxiety symptoms are the most central in this PNS patient population, despite the baseline low depression scores, and that negative symptoms are a clearly independent symptom cluster that can be delineated from depressive symptoms.
Collapse
Affiliation(s)
- Koen Demyttenaere
- Psychiatry Research Group, Department of Neurosciences, Faculty of Medicine, University of Leuven, and University Psychiatric Center KU Leuven, Leuven, Belgium.,University Psychiatric Center KU Leuven, Leuven, Belgium
| | | | - Károly Acsai
- Ceva Animal Health, Ceva-Phylaxia, Budapest, Hungary
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
9
|
Liu G, Zhang X, Huo X, Li W. Prevalence, Influencing Factors, and Clinical Characteristics of Cognitive Impairment in Elderly Patients With Schizophrenia. Front Psychiatry 2022; 13:910814. [PMID: 35733805 PMCID: PMC9207234 DOI: 10.3389/fpsyt.2022.910814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/17/2022] [Indexed: 11/22/2022] Open
Abstract
AIMS The purpose of this study was to investigate the prevalence, influencing factors, and clinical characteristics of cognitive impairment in elderly patients with chronic schizophrenia. MATERIALS AND METHODS A total of 264 elderly patients with chronic schizophrenia and 156 normal controls were enrolled in the current study. The Mini-mental State Examination (MMSE) was used to assess their overall cognitive function, the Positive And Negative Syndrome Scale (PANSS) was used to assess their psychotic symptoms, the Geriatric Depression Scale (GDS) was used to assess their depressive symptoms, while Activity of Daily Living Scale (ADL) was used to assess their daily living ability. RESULTS The prevalence of cognitive impairment was 77.7% (205/264) in elderly patients with chronic schizophrenia, which was much higher than that [16.7% (26/156)] in normal controls. By using stepwise binary regression analysis, we found that hobbies (p < 0.001, OR = 0.224, 95% CI: 0.114-0.441) might be a protective factor for cognitive impairment, and this relationship remained statistically significant after adjusting for total scores of GDS, ADL and PANSS (model b ) (p = 0.016, OR = 0.406, 95% CI: 0.195-0.847). Compared with individuals without cognitive impairment, individuals with cognitive impairment tend to have more depression and psychiatric symptoms as well as worse activities of daily living (p < 0.05). Through linear regression analysis of the mediating model, we found that hobbies may improve cognitive function by improving psychiatric symptoms, and play a partial mediating role (B = -4.789, p < 0.001). CONCLUSION Cognitive impairment is a very prominent problem in elderly patients with chronic schizophrenia. Elderly schizophrenia patients with cognitive impairment tended to have more depressive mood, more psychotic symptoms and worse activities of daily living. Hobbies will help prevent cognitive impairment in elderly patients with schizophrenia and may improve their cognitive function by influencing psychiatric symptoms. Therefore, we should encourage elderly patients with chronic schizophrenia to develop their own hobbies. However, the above conclusion still need to be further verified, as we cannot exclude the effects of age and education.
Collapse
Affiliation(s)
- Guojun Liu
- Department of Rehabilitation Medicine, Third People's Hospital of Lanzhou, Lanzhou, China
| | - Xiaoying Zhang
- Department of Rehabilitation Medicine, Third People's Hospital of Lanzhou, Lanzhou, China
| | - Xiaoning Huo
- Department of Rehabilitation Medicine, Third People's Hospital of Lanzhou, Lanzhou, China
| | - Wei Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
10
|
Mosolov SN, Yaltonskaya PA. Primary and Secondary Negative Symptoms in Schizophrenia. Front Psychiatry 2021; 12:766692. [PMID: 35046851 PMCID: PMC8761803 DOI: 10.3389/fpsyt.2021.766692] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 11/22/2021] [Indexed: 01/29/2023] Open
Abstract
The negative symptoms of schizophrenia include volitional (motivational) impairment manifesting as avolition, anhedonia, social withdrawal, and emotional disorders such as alogia and affective flattening. Negative symptoms worsen patients' quality of life and functioning. From the diagnostic point of view, it is important to differentiate between primary negative symptoms, which are regarded as an integral dimension of schizophrenia, and secondary negative symptoms occurring as a result of positive symptoms, comorbid depression, side effects of antipsychotics, substance abuse, or social isolation. If secondary negative symptoms overlap with primary negative symptoms, it can create a false clinical impression of worsening deficit symptoms and disease progression, which leads to the choice of incorrect therapeutic strategy with excessive dopamine blocker loading. Different longitudinal trajectories of primary and secondary negative symptoms in different schizophrenia stages are proposed as an important additional discriminating factor. This review and position paper focuses primarily on clinical aspects of negative symptoms in schizophrenia, their definition, phenomenology, factor structure, and classification. It covers the historical and modern concepts of the paradigm of positive and negative symptoms in schizophrenia, as well as a detailed comparison of the assessment tools and psychometric tests used for the evaluation of negative symptoms.
Collapse
Affiliation(s)
- Sergey N Mosolov
- Moscow Research Institute of Psychiatry, Moscow, Russia.,Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | | |
Collapse
|