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Zebrack JE, Gao J, Verhey B, Tian L, Stave C, Farhadian B, Ma M, Silverman M, Xie Y, Tran P, Thienemann M, Wilson JL, Frankovich J. Prevalence of Neurological Soft Signs at Presentation in Pediatric Acute-Onset Neuropsychiatric Syndrome. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.26.24306193. [PMID: 38746142 PMCID: PMC11092680 DOI: 10.1101/2024.04.26.24306193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Importance Studies of brain imaging and movements during REM sleep indicate basal ganglia involvement in pediatric acute-onset neuropsychiatric syndrome (PANS). Characterizing neurological findings commonly present in patients with PANS could improve diagnostic accuracy. Objective To determine the prevalence of neurological soft signs which may reflect basal ganglia dysfunction (NSS-BG) in youth presenting with PANS and whether clinical characteristics of PANS correlate with NSS-BG. Design, Setting, and Participants: 135 new patients who were evaluated at the Stanford Children's Immune Behavioral Health Clinic between November 1, 2014 and March 1, 2020 and met strict PANS criteria were retrospectively reviewed for study inclusion. 16 patients were excluded because they had no neurological exam within the first three visits and within three months of clinical presentation. Main Outcomes and Measures The following NSS-BG were recorded from medical record review: 1) glabellar tap reflex, 2) tongue movements, 3) milkmaid's grip, 4) choreiform movements, 5) spooning, and 6) overflow movements. We included data from prospectively collected symptoms and impairment scales. Results The study included 119 patients: mean age at PANS onset was 8.2 years, mean age at initial presentation was 10.4 years, 55.5% were male, and 73.9% were non-Hispanic White. At least one NSS-BG was observed in 95/119 patients (79.8%). Patients had 2.1 NSS-BG on average. Patients with 4 or more NSS-BG had higher scores of global impairment (p=0.052) and more symptoms (p=0.008) than patients with 0 NSS-BG. There was no significant difference in age at visit or reported caregiver burden. On Poisson and linear regression, the number of NSS-BG was associated with global impairment (2.857, 95% CI: 0.092-5.622, p=0.045) and the number of symptoms (1.049, 95% CI: 1.018-1.082, p=0.002), but not age or duration of PANS at presentation. Conclusions and Relevance We found a high prevalence of NSS-BG in patients with PANS and an association between NSS-BG and disease severity that is not attributable to younger age. PANS may have a unique NSS-BG profile, suggesting that targeted neurological exams may support PANS diagnosis.
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Affiliation(s)
- Jane E. Zebrack
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
| | - Jaynelle Gao
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
| | - Britta Verhey
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Christopher Stave
- Lane Medical Library, Stanford University School of Medicine, Stanford, CA, USA
| | - Bahare Farhadian
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
| | - Meiqian Ma
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
| | - Melissa Silverman
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
- Division of Child and Adolescent Psychiatry and Child Development, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Yuhuan Xie
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
- Division of Child and Adolescent Psychiatry and Child Development, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Paula Tran
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
- Division of Child and Adolescent Psychiatry and Child Development, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Margo Thienemann
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
- Division of Child and Adolescent Psychiatry and Child Development, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Jenny L. Wilson
- Division of Pediatric Neurology, Department of Pediatrics, Oregon Health & Science University, Portland, OR, USA
| | - Jennifer Frankovich
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford PANS/Immune Behavioral Health Clinic and PANS Research Program at Lucile Packard Children's Hospital, Stanford, CA, USA
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Nwiyi OK, Ohaeri JU, Jidda MS, Danjuma IA, Onu JU, Oriji SO, Uwakwe R. Neurological soft signs in first episode psychosis among psychiatric hospital patients and its relationship with dimensions of psychopathology: A comparative study. Niger Postgrad Med J 2023; 30:183-192. [PMID: 37675694 DOI: 10.4103/npmj.npmj_77_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Background Neurological soft signs (NSS), as subtle, nonlocalising neurological abnormalities, are considered as the potential markers of psychosis. However, comparative studies of antipsychotic-naïve patients with first-episode psychosis (FEP) and first degree relatives (FDRs) are uncommon. We compared the prevalence and pattern of NSS in FEPs, their healthy FDRs and a healthy non-relatives' control group (HC), highlighted the relationship between NSS and psychopathology and proposed cut-off scores for prevalence studies. Materials and Methods Two hundred and two participants per group were recruited. The FEPs were consecutive attendees; FDRs were accompanying caregivers; while the HC were from hospital staff. The Brief Psychiatric Rating Scale and the Neurological Evaluation Scale were used to assess psychopathology dimensions and NSS, respectively. Results Using an item score of two ('substantial impairment'), the prevalence of at least one NSS was: 91.5% (95% confidence interval [CI]: 86.7%-94.9%), 16.8% (95% CI: 11.8%-22.7%) and 6.5% (95% CI: 3.5%-10.9%), respectively, for FEP, FDRs and HC. FEPs were impaired in a broad range of signs. The noteworthy relationships were as follows: (i) a significant correlation between the negative symptoms' dimension versus number of NSS (r = 0.4), and NSS total score (r = 0.3), (ii) the anxiety/depression dimension correlated negatively with number of NSS (r = -0.3) and (iii) NSS cut across psychosis categories. We propose a cut-off score of ≥ 4 for the number of signs signifying probable impairment. Conclusion The findings indicate that, subject to further studies, NSS could be regarded as a broader phenotype of neurologic dysfunction associated with psychosis proness.
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Affiliation(s)
- Obumneme Kenechukwu Nwiyi
- Department of Mental Health, Nnamdi Azikiwe University Teaching Hospital, Nnewi Campus, Anambra State, Nigeria
| | - Jude Uzoma Ohaeri
- Department of Psychological Medicine, University of Nigeria, Enugu Campus, Enugu State, Nigeria
| | - Mohammed Said Jidda
- Department of Mental Health, College of Medicine, University of Maiduguri, Borno State, Nigeria
| | | | - Justus Uchenna Onu
- Department of Mental Health, Nnamdi Azikiwe University, Nnewi Campus, Anambra State, Nigeria
| | - Sunday Onyemaechi Oriji
- Department of Mental Health, Nnamdi Azikiwe University, Nnewi Campus, Anambra State, Nigeria
| | - Richard Uwakwe
- Department of Mental Health, Nnamdi Azikiwe University, Nnewi Campus, Anambra State, Nigeria
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Fountoulakis KN, Panagiotidis P, Tegos T, Kimiskidis V, Nimatoudis I. Paternal age and specific neurological soft signs as reliable and valid neurobiological markers for the diagnosis of patients with schizophrenia. Eur Arch Psychiatry Clin Neurosci 2022; 272:1087-1096. [PMID: 34842982 DOI: 10.1007/s00406-021-01357-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 11/08/2021] [Indexed: 12/17/2022]
Abstract
Advanced parental age at delivery and neurological soft signs (NSS) constitute risk factors for schizophrenia. The aim of the current study was to develop a neurobiological diagnostic index by combining them, and without the contribution of clinical symptomatology. The study sample included 133 patients suffering from schizophrenia according to DSM-IV-TR (77 males and 56 females; aged 33.55 ± 11.22 years old) and 122 normal controls (66 males and 56 females; aged 32.89 ± 9.91 years old). The assessment included the Neurological Evaluation Scale (NES), and a number of scales assessing the clinical symptoms and adverse effects. The statistical analysis included exploratory t-test, Pearson Correlation coefficient (R) and Discriminant Function Analysis (DFA). Exploratory t-tests and Pearson's R suggested that sex, parental age and NSS constitute independent components. On the basis of DFA results, the Psychotic Neurological Index was developed. At the cut-off PNI score of 8.5, sensitivity was equal to 94.74 and specificity to 93.44. The current is probably the first study to report on an easily obtainable diagnostic neurobiological marker with identifiable properties which is absolutely independent from the clinical manifestations and could serve in distinguishing between patients with schizophrenia and healthy controls with high efficacy.
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Affiliation(s)
- Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Panagiotis Panagiotidis
- 3rd Department of Psychiatry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Thomas Tegos
- 1st Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vasileios Kimiskidis
- 1st Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ioannis Nimatoudis
- 3rd Department of Psychiatry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Samson GD, Lahti AC, Kraguljac NV. The neural substrates of neurological soft signs in schizophrenia: a systematic review. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:42. [PMID: 35853869 PMCID: PMC9261110 DOI: 10.1038/s41537-022-00245-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 03/11/2022] [Indexed: 06/01/2023]
Abstract
Neurological soft signs (NSS) are common in patients with schizophrenia. However, the neural substrates of NSS remain poorly understood. Using legacy PubMed, we performed a systematic review and included studies that assessed NSS and obtained neuroimaging data in patients with a schizophrenia spectrum disorder published up to June 2020. We systematically reviewed 35 relevant articles. Studies consistently implicate the basal ganglia and cerebellum as structural substrates of NSS and suggest that somatomotor and somatosensory regions as well as areas involved in visual processing and spatial orientation may underlie NSS in psychosis spectrum disorders. Additionally, dysfunction of frontoparietal and cerebellar networks has been implicated in the pathophysiology of NSS. The current literature outlines several structural and functional brain signatures that are relevant for NSS in schizophrenia spectrum disorder. The majority of studies assessed gray matter structure, but only a few studies leveraged other imaging methods such as diffusion weighted imaging, or molecular imaging. Due to this, it remains unclear if white matter integrity deficits or neurometabolic alterations contribute to NSS in the illness. While a substantial portion of the literature has been conducted in patients in the early illness stages, mitigating confounds of illness chronicity, few studies have been conducted in antipsychotic medication-naïve patients, which is a clear limitation. Furthermore, only little is known about the temporal evolution of NSS and associated brain signatures. Future studies addressing these pivotal gaps in our mechanistic understanding of NSS will be important.
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Affiliation(s)
- Genelle D Samson
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adrienne C Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nina V Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA.
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Bachmann S, Beck M, Tsai DH, Haupt F. Neurological Soft Signs (NSS) in Census-Based, Decade-Adjusted Healthy Adults, 20 to >70 Years of Age. Front Psychiatry 2021; 12:670539. [PMID: 34248707 PMCID: PMC8264425 DOI: 10.3389/fpsyt.2021.670539] [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: 03/14/2021] [Accepted: 04/30/2021] [Indexed: 11/13/2022] Open
Abstract
Neurological soft signs (NSS) represent minor neurological features and have been widely studied in psychiatric disease. The assessment is easily performed. Quantity and quality may provide useful information concerning the disease course. Mostly, NSS scores differ significantly between patients and controls. However, literature does not give reference values. In this pilot study, we recruited 120 healthy women and men to build a cross-sectional, census-based sample of healthy individuals, aged 20 to >70 years, subdivided in 10-year blocks for a close approach to the human lifeline. Testing for NSS and neurocognitive functioning was performed following the exclusion of mental and severe physical illness. NSS scores increased significantly between ages 50+ and 60+, which was primarily accountable to motor signs. Gender and cognitive functioning were not related to changes of scores. Although the number of individuals is small, study results may lay a foundation for further validation of NSS in healthy individuals.
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Affiliation(s)
- Silke Bachmann
- Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
- Department of Psychiatry, University Hospitals and Martin-Luther University, Halle, Germany
| | - Michaela Beck
- Geriatriezentrum Zwenkau, Sana Kliniken AG, Zwenkau, Germany
| | - Dai-Hua Tsai
- Swiss Centre for Occupational and Environmental Health (SCOEH), Winterthur, Switzerland
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Zoccante L, Ciceri ML, Chamitava L, Di Gennaro G, Cazzoletti L, Zanolin ME, Darra F, Colizzi M. Postural Control in Childhood: Investigating the Neurodevelopmental Gradient Hypothesis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041693. [PMID: 33578752 PMCID: PMC7916459 DOI: 10.3390/ijerph18041693] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/05/2021] [Accepted: 02/07/2021] [Indexed: 01/26/2023]
Abstract
Neurodevelopmental disorders (NDDs) have been suggested to lie on a gradient continuum, all resulting from common brain disturbances, but with different degrees of impairment severity. This case-control study aimed to assess postural stability against such hypothesis in 104 children/adolescents aged 5–17, of whom 81 had NDDs and 23 were healthy controls. Compared to healthy controls, Autism Spectrum Disorder (ASD) resulted in the most severely impaired neurodevelopmental condition, followed by Attention Deficit Hyperactive Disorder (ADHD) and Tourette Syndrome (TS). In particular, while ASD children/adolescents performed worse than healthy controls in a number of sensory conditions across all parameters, ADHD children/adolescents performed worse than healthy controls only in the sway area for the most complex sensory conditions, when their vision and somatosensory functions were both compromised, and performance in Tourette Syndrome (TS) was roughly indistinguishable from that of healthy controls. Finally, differences were also observed between clinical groups, with ASD children/adolescents, and to a much lesser extent ADHD children/adolescents, performing worse than TS children/adolescents, especially when sensory systems were not operationally accurate. Evidence from this study indicates that poor postural control may be a useful biomarker for risk assessment during neurodevelopment, in line with predictions from the gradient hypothesis.
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Affiliation(s)
- Leonardo Zoccante
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (L.Z.); (M.L.C.); (F.D.)
| | - Marco Luigi Ciceri
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (L.Z.); (M.L.C.); (F.D.)
| | - Liliya Chamitava
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy; (L.C.); (L.C.); (M.E.Z.)
| | - Gianfranco Di Gennaro
- Department of Pathology and Diagnostics, Integrated University Hospital of Verona, 37126 Verona, Italy;
| | - Lucia Cazzoletti
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy; (L.C.); (L.C.); (M.E.Z.)
| | - Maria Elisabetta Zanolin
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy; (L.C.); (L.C.); (M.E.Z.)
| | - Francesca Darra
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (L.Z.); (M.L.C.); (F.D.)
| | - Marco Colizzi
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (L.Z.); (M.L.C.); (F.D.)
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
- Correspondence: ; Tel.: +39-045-812-6832
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Colizzi M, Ciceri ML, Di Gennaro G, Morari B, Inglese A, Gandolfi M, Smania N, Zoccante L. Investigating Gait, Movement, and Coordination in Children with Neurodevelopmental Disorders: Is There a Role for Motor Abnormalities in Atypical Neurodevelopment? Brain Sci 2020; 10:E601. [PMID: 32887253 PMCID: PMC7565603 DOI: 10.3390/brainsci10090601] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 08/25/2020] [Accepted: 08/31/2020] [Indexed: 12/17/2022] Open
Abstract
Motor abnormalities have been suggested to play a role in most neuropsychiatric disorders, as a potential generic neurodevelopmental vulnerability. However, they still represent a neglected area, with a paucity of empirical studies, especially in pediatric populations. This case-control study aimed to comprehensively assess motor functioning in children with atypical neurodevelopment and investigate whether any socio-demographic or clinical characteristics would concur with motor difficulties to distinguish children with neurodevelopmental disorders (NDD) from healthy controls. Socio-demographic (age and gender) and clinical (intelligence quotient, gait, movement, and coordination) data were collected on 114 children aged 5-15 (83 with NDD, 31 healthy controls). Male children were at significantly higher risk for NDD (OR: 13.023, p < 0.001). Furthermore, there was a statistically significant interaction between the total intelligence quotient and overall coordination such that increasing levels of total intelligence quotient appeared to protect against the likelihood of being diagnosed with an NDD, but only in the context of a preserved coordination (OR: 0.964, p = 0.038). Collectively, results may have important public health implications, as they point towards the development of new approaches to establish an early prognosis in neurodevelopment, including assessing motor difficulties and mitigating their impact on children's quality of life.
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Affiliation(s)
- Marco Colizzi
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (M.L.C.); (B.M.); (A.I.); (L.Z.)
| | - Marco Luigi Ciceri
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (M.L.C.); (B.M.); (A.I.); (L.Z.)
- Neurorehabilitation Unit, Integrated University Hospital of Verona, 37134 Verona, Italy; (M.G.); (N.S.)
| | - Gianfranco Di Gennaro
- Department of Pathology and Diagnostics, Integrated University Hospital of Verona, 37126 Verona, Italy;
| | - Beatrice Morari
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (M.L.C.); (B.M.); (A.I.); (L.Z.)
| | - Alessandra Inglese
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (M.L.C.); (B.M.); (A.I.); (L.Z.)
| | - Marialuisa Gandolfi
- Neurorehabilitation Unit, Integrated University Hospital of Verona, 37134 Verona, Italy; (M.G.); (N.S.)
- Neuromotor and Cognitive Rehabilitation Research Centre (CRRNC), Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Nicola Smania
- Neurorehabilitation Unit, Integrated University Hospital of Verona, 37134 Verona, Italy; (M.G.); (N.S.)
- Neuromotor and Cognitive Rehabilitation Research Centre (CRRNC), Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Leonardo Zoccante
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital of Verona, 37126 Verona, Italy; (M.L.C.); (B.M.); (A.I.); (L.Z.)
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Fountoulakis KN, Panagiotidis P, Theofilidis AT, Nimatoudis I. One-year Outcome of First vs. Later Episode Schizophrenia: A Real-world Naturalistic Study. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2020; 18:434-444. [PMID: 32702222 PMCID: PMC7383004 DOI: 10.9758/cpn.2020.18.3.434] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 04/04/2020] [Accepted: 04/06/2020] [Indexed: 12/16/2022]
Abstract
Objective The aim the study was to calculate remission, recovery and relapse rates in first episode patients with schizophrenia (FES) vs. patients at a later phase (non-FES). Methods Thirty-two FES and 101 non-FES patients took part in the study. The assessment included testing at baseline and at 1 year with the Positive and Negative Syndrome Scale (PANSS), Calgary Depression scale, State-Trait Anxiety Inventory (STAI), Udvalg for Kliniske Undersøgelser (UKU) scale, Simpson Angus, and General Assessment of Functioning (GAF) subscale. The statistical analysis included chi-square test and analysis of covariance. Results At baseline 15.62% FES vs. 10.89% non-FES patients were in remission; none of FES vs. 2.97% non-FES patients were in recovery. At endpoint, the respective figures were 12.50% vs. 25.00% and 3.12% vs. 3.96%. None of the differences in rates was significant between the two groups except from the percentage of patients being under medication (higher in the non-FES group). Baseline PANSS negative subscale (PANSS-N) was the only predictor of the outcome at endpoint. Conclusion The current study reported very low rates of remission and recovery of patients with schizophrenia without any differences between FES and non-FES patients. One possibility is that the increased antipsychotic treatment compensates for the worsening of the illness with time. An accumulating beneficial effect of antipsychotic treatment suggested that early lack of remission is not prognostic of a poor outcome.
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Affiliation(s)
- Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panagiotis Panagiotidis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Antonis T Theofilidis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ioannis Nimatoudis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Feng Y, Wang Z, Lin G, Qian H, Gao Z, Wang X, Li M, Hu X, Li Y. Neurological soft signs and neurocognitive deficits in remitted patients with schizophrenia, their first-degree unaffected relatives, and healthy controls. Eur Arch Psychiatry Clin Neurosci 2020; 270:383-391. [PMID: 31123823 DOI: 10.1007/s00406-019-01024-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 05/15/2019] [Indexed: 01/10/2023]
Abstract
Neurological soft signs (NSS) and neurocognitive deficits (ND) are highly prevalent in schizophrenia, and have been separately proposed as candidate endophenotypes of schizophrenia. However, few relevant studies focus on remitted patients with schizophrenia (RP) and integrate NSS and ND as a composite endophenotype. This study aimed to explore the NSS and ND and examine the comparative relationship between them in RP, their first-degree unaffected relatives (FDR), and healthy controls, furthermore, to seek potential endophenotypes subitems of NSS and ND and create a composite endophenotype. 86 RP, 86 FDR, and 86 healthy controls were included. NSS and ND were independently assessed with Cambridge Neurological Inventory and MATRICSTM Consensus Cognitive Battery. RP had more NSS and ND than FDR in all subitems except disinhibition, information processing speed, working memory, and visual memory. Similarly, FDR presented poorer performance than controls in all subscales except disinhibition, sensory integration, working memory, and visual memory. Six subitems of NSS and ND met the criteria of endophenotype and the three groups were most accurately classified (71.2%) with these subitems working as a composite endophenotype. Moreover, information processing speed, attention, and social cognition were associated with sensory integration in RP and FDR. These findings add evidences that certain subitems of NSS and ND might be the endophenotypes of schizophrenia and integrating these endophenotypes may prove useful in identifying schizophrenia and high-risk individuals. Furthermore, sensory integration and specific cognitive domains covary, hence suggesting an overlap of compromised underlying neural systems.
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Affiliation(s)
- Yingying Feng
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
| | - Zongqin Wang
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
| | - Guorong Lin
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
| | - Hong Qian
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
| | - Zuohui Gao
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
| | - Xiaoli Wang
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
| | - Mingcao Li
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
| | - Xiaohua Hu
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China.
| | - Yi Li
- Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China
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Fountoulakis KN, Panagiotidis P, Kimiskidis V, Nimatoudis I. 12-Month stability of neurological soft signs in stabilized patients with schizophrenia. Nord J Psychiatry 2019; 73:451-461. [PMID: 31393751 DOI: 10.1080/08039488.2019.1649724] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Objective: Neurological soft signs (NSS) are a group of minor non-localizable neurological abnormalities found more often in patients with schizophrenia. The aim of the current study was to investigate their temporal stability and relationship to the overall outcome over a 12-month period. Material and methods: The study sample included 133 stabilized patients suffering from schizophrenia (77 males and 56 females; aged 33.55 ± 11.22 years old). The assessment included the application at baseline and after 12 months of the Neurological Evaluation Scale (NES), and a number of scales assessing the clinical symptoms and adverse effects. The statistical analysis included ANOVA, exploratory t-test and Pearson correlation coefficients with Bonferroni correction. Results: In stabilized patients, NSS are stable over a 12-month period with only the subscale of NES-sensory integration manifesting a significant worsening, while, in contrast, most of the clinical variables improved significantly. There was no relationship of NES scores with the magnitude of improvement. The only significant negative correlation was between NES-motor coordination and Positive and Negative Syndrome Scale-GP change at 1 year. Discussion: The results of the current study suggest that after stabilization of patients with schizophrenia, there are probably two separate components, a 'trait' which is stable over a 12-month period, and a 'degenerative' component with a tendency to worsen probably in parallel with the progression of the illness and in correlation with the worsening of negative symptoms. However, the statistical support of the 'degenerative' component is weak. Significant outcomes Neurological softs signs are stable over a 12-month period, with the exception of 'sensory integration' which manifests significant improvement irrespective of treatment response. They do not respond to treatment with antipsychotics. They do not constitute a prognostic factor to predict improvement over a period of 1 year. Neurological soft signs constitute a trait symptom of schizophrenia which is stable though time. Limitations All the subjects have been previously hospitalized which may represent a more severe form of schizophrenia. Also, all patients were under antipsychotic and some also under benzodiazepine medications. Patients with comorbid somatic disorders were excluded which may decrease generalizability of results.
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Affiliation(s)
- Konstantinos N Fountoulakis
- Third Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Panagiotis Panagiotidis
- Third Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Vasilios Kimiskidis
- Laboratory of Clinical Neurophysiology, School of Medicine, Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Ioannis Nimatoudis
- Third Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki , Thessaloniki , Greece
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Fountoulakis KN, Dragioti E, Theofilidis AT, Wikilund T, Atmatzidis X, Nimatoudis I, Thys E, Wampers M, Hranov L, Hristova T, Aptalidis D, Milev R, Iftene F, Spaniel F, Knytl P, Furstova P, From T, Karlsson H, Walta M, Salokangas RKR, Azorin JM, Bouniard J, Montant J, Juckel G, Haussleiter IS, Douzenis A, Michopoulos I, Ferentinos P, Smyrnis N, Mantonakis L, Nemes Z, Gonda X, Vajda D, Juhasz A, Shrivastava A, Waddington J, Pompili M, Comparelli A, Corigliano V, Rancans E, Navickas A, Hilbig J, Bukelskis L, Injac Stevovic L, Vodopic S, Esan O, Oladele O, Osunbote C, Rybakowski JΚ, Wojciak P, Domowicz K, Figueira ML, Linhares L, Crawford J, Panfil AL, Smirnova D, Izmailova O, Lecic-Tosevski D, Temmingh H, Howells F, Bobes J, Garcia-Portilla MP, García-Alvarez L, Erzin G, Karadağ H, De Sousa A, Bendre A, Hoschl C, Bredicean C, Papava I, Vukovic O, Pejuskovic B, Russell V, Athanasiadis L, Konsta A, Stein D, Berk M, Dean O, Tandon R, Kasper S, De Hert. M. Staging of Schizophrenia With the Use of PANSS: An International Multi-Center Study. Int J Neuropsychopharmacol 2019; 22:681-697. [PMID: 31563956 PMCID: PMC6872964 DOI: 10.1093/ijnp/pyz053] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 07/19/2019] [Accepted: 09/25/2019] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method. METHODS Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed. RESULTS Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients. DISCUSSION This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.
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Affiliation(s)
- Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki,Greece,Correspondence to: Konstantinos N. Fountoulakis, 6, Odysseos str (1 Parodos Ampelonon str.), 55535 Pylaia Thessaloniki, Greece ()
| | - Elena Dragioti
- Department of Medical and Health Sciences (IMH), Faculty of Health Sciences, Linköping University, Linköping, Sweden,Hallunda Psychiatric Outpatient Clinic, Stockholm Psychiatric Southwest Clinic, Karolinska Huddinge University Hospital,Sweden
| | - Antonis T Theofilidis
- 3rd Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki,Greece
| | - Tobias Wikilund
- Department of Medical and Health Sciences (IMH), Faculty of Health Sciences, Linköping University, Linköping, Sweden,Hallunda Psychiatric Outpatient Clinic, Stockholm Psychiatric Southwest Clinic, Karolinska Huddinge University Hospital,Sweden
| | - Xenofon Atmatzidis
- Department of Medical and Health Sciences (IMH), Faculty of Health Sciences, Linköping University, Linköping, Sweden,Hallunda Psychiatric Outpatient Clinic, Stockholm Psychiatric Southwest Clinic, Karolinska Huddinge University Hospital,Sweden
| | - Ioannis Nimatoudis
- 3rd Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki,Greece
| | - Erik Thys
- University Psychiatric Centre KU Leuven, Kortenberg and Department of Neurosciences KU, Leuven, Belgium
| | - Martien Wampers
- University Psychiatric Centre KU Leuven, Kortenberg and Department of Neurosciences KU, Leuven, Belgium
| | - Luchezar Hranov
- University Multiprofile Hospital for Active Treatment in Neurology and Psychiatry “Sveti Naum”, Sofia, Bulgaria
| | - Trayana Hristova
- University Multiprofile Hospital for Active Treatment in Neurology and Psychiatry “Sveti Naum”, Sofia, Bulgaria
| | - Daniil Aptalidis
- University Multiprofile Hospital for Active Treatment in Neurology and Psychiatry “Sveti Naum”, Sofia, Bulgaria
| | - Roumen Milev
- Department of Psychiatry, Queen’s University, Providence Care Hospital, Kingston, Ontario, Canada
| | - Felicia Iftene
- Department of Psychiatry, Queen’s University, Providence Care Hospital, Kingston, Ontario, Canada
| | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
| | - Pavel Knytl
- National Institute of Mental Health, Klecany, Czech Republic
| | - Petra Furstova
- National Institute of Mental Health, Klecany, Czech Republic
| | - Tiina From
- Department of Psychiatry, University of Turku, Turku, Finland
| | - Henry Karlsson
- Department of Psychiatry, University of Turku, Turku, Finland
| | - Maija Walta
- Department of Psychiatry, University of Turku, Turku, Finland
| | | | - Jean-Michel Azorin
- Department of Psychiatry, Sainte Marguerite University Hospital, Marseille, France,Timone Institute of Neuroscience, CNRS and Aix-Marseille University, Marseille, France
| | - Justine Bouniard
- Department of Psychiatry, Sainte Marguerite University Hospital, Marseille, France,Timone Institute of Neuroscience, CNRS and Aix-Marseille University, Marseille, France
| | - Julie Montant
- Department of Psychiatry, Sainte Marguerite University Hospital, Marseille, France,Timone Institute of Neuroscience, CNRS and Aix-Marseille University, Marseille, France
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL-University Hospital, Bochum, Germany
| | - Ida S Haussleiter
- Department of Psychiatry, Ruhr University Bochum, LWL-University Hospital, Bochum, Germany
| | - Athanasios Douzenis
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Michopoulos
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Smyrnis
- Department of Psychiatry, National and Kapodistrian University of Athens School of Medicine, Eginition Hospital, Athens, Greece
| | - Leonidas Mantonakis
- Department of Psychiatry, National and Kapodistrian University of Athens School of Medicine, Eginition Hospital, Athens, Greece
| | | | - Xenia Gonda
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Dora Vajda
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Anita Juhasz
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | | | - John Waddington
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Anna Comparelli
- Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Valentina Corigliano
- Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Elmars Rancans
- Department of Psychiatry and Narcology, Riga Stradins University, Riga, Latvia
| | - Alvydas Navickas
- Clinic of Psychiatric, Faculty of Medicine, Vilnius University, Vilnius, Lithuania,Psychosocial Rehabilitation Department of the Vilnius Mental Health Center, Department for Psychosis Treatment of the Vilnius Mental Health Center, Vilnius, Lithuania
| | - Jan Hilbig
- Clinic of Psychiatric, Faculty of Medicine, Vilnius University, Vilnius, Lithuania,Psychosocial Rehabilitation Department of the Vilnius Mental Health Center, Department for Psychosis Treatment of the Vilnius Mental Health Center, Vilnius, Lithuania
| | - Laurynas Bukelskis
- Clinic of Psychiatric, Faculty of Medicine, Vilnius University, Vilnius, Lithuania,Psychosocial Rehabilitation Department of the Vilnius Mental Health Center, Department for Psychosis Treatment of the Vilnius Mental Health Center, Vilnius, Lithuania
| | - Lidija Injac Stevovic
- Clinical Department of Psychiatry, Clinical Centre of Montenegro, Podgorica, Montenegro,Department of Psychiatry, School of Medicine, University of Montenegro, Dzona Dzeksona bb, Podgorica, Montenegro,Clinical Department of Neurology, Clinical Centre of Montenegro, Dzona Dzeksona bb, Podgorica, Montenegro
| | - Sanja Vodopic
- Clinical Department of Psychiatry, Clinical Centre of Montenegro, Podgorica, Montenegro,Department of Psychiatry, School of Medicine, University of Montenegro, Dzona Dzeksona bb, Podgorica, Montenegro,Clinical Department of Neurology, Clinical Centre of Montenegro, Dzona Dzeksona bb, Podgorica, Montenegro
| | - Oluyomi Esan
- Department of Psychiatry, College of Medicine, University of Ibadan,Nigeria
| | - Oluremi Oladele
- Department of Psychiatry, College of Medicine, University of Ibadan,Nigeria
| | | | - Janusz Κ Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Pawel Wojciak
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Klaudia Domowicz
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Maria Luisa Figueira
- Department of Psychiatry and Mental Health, Santa Maria University Hospital, Lisbon, Portugal
| | - Ludgero Linhares
- Department of Psychiatry and Mental Health, Santa Maria University Hospital, Lisbon, Portugal
| | - Joana Crawford
- Department of Psychiatry and Mental Health, Santa Maria University Hospital, Lisbon, Portugal
| | | | - Daria Smirnova
- Samara State Medical University, Department of Psychiatry, Samara Psychiatric Hospital, Inpatient Unit, Russia
| | - Olga Izmailova
- Samara State Medical University, Department of Psychiatry, Samara Psychiatric Hospital, Inpatient Unit, Russia
| | - Dusica Lecic-Tosevski
- Institute of Mental Health, Belgrade, Serbia,Serbian Academy of Sciences and Arts, Belgrade, Serbia
| | - Henk Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town Cape Town, Western Cape, South Africa
| | - Fleur Howells
- Department of Psychiatry and Mental Health, University of Cape Town Cape Town, Western Cape, South Africa
| | - Julio Bobes
- Department of Psychiatry, University of Oviedo and Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Maria Paz Garcia-Portilla
- Department of Psychiatry, University of Oviedo and Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Leticia García-Alvarez
- Department of Psychiatry, University of Oviedo and Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Gamze Erzin
- Psychiatry Department, Diskapi Yildirim Beyazit Training and Research Hospital, Ankara, Turkey
| | - Hasan Karadağ
- Psychiatry Department, Diskapi Yildirim Beyazit Training and Research Hospital, Ankara, Turkey
| | - Avinash De Sousa
- Department of Psychiatry Lokmanya Tilak Municipal Medical College Mumbai, India
| | - Anuja Bendre
- Department of Psychiatry Lokmanya Tilak Municipal Medical College Mumbai, India
| | - Cyril Hoschl
- National Institute of Mental Health, Klecany, Czech Republic
| | | | - Ion Papava
- University of Medicine and Pharmacy of Timisoara, Romania
| | - Olivera Vukovic
- Institute of Mental Health, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Bojana Pejuskovic
- Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
| | - Vincent Russell
- Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
| | - Loukas Athanasiadis
- 1st Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Anastasia Konsta
- 1st Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Dan Stein
- MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Michael Berk
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Geelong, Australia,Orygen, The National Centre of Excellence in Youth Mental Health and the Centre for Youth Mental Health, the Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Olivia Dean
- Deakin University, School of Medicine, IMPACT Strategic Research Centre, Barwon Health, Geelong, Australia
| | - Rajiv Tandon
- Department of Psychiatry, University of Florida, ***, FL
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Marc De Hert.
- University Psychiatric Centre KU Leuven, Kortenberg and Department of Neurosciences KU, Leuven, Belgium
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Fountoulakis KN, Panagiotidis P, Nimatoudis I. The effect of baseline antipsychotic status on the 12-month outcome in initially stabilized patients with schizophrenia. Hum Psychopharmacol 2019; 34:e2712. [PMID: 31486169 DOI: 10.1002/hup.2712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 08/13/2019] [Accepted: 08/19/2019] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Recently, the usefulness of antipsychotics has been challenged. The aim of the study was to measure the real-life effect of antipsychotic treatment on remission and recovery rates in already stabilized patients with schizophrenia after 1 year. MATERIAL AND METHODS The study included 133 stabilized patients with schizophrenia (77 males and 56 females; aged 33.55 ± 11.22 years). The assessment included testing at baseline and after 1 year with the Positive and Negative Syndrome Scale, Calgary Depression Scale, State-Trait Anxiety Inventory, UKU, Extrapyramidal Symptom Rating Scale, and General Assessment of Functioning. RESULTS More patients were on antipsychotics after 1 year (increase by 16.45%). There was an increase in the remission by 75% and in the recovery rate by 66%. It was not possible to predict the outcome on the basis of baseline variables. DISCUSSION There is an accumulating beneficial effect of antipsychotic treatment over a 12-month period; early lack of remission is not prognostic of a poor outcome. There might be different neurobiological mechanisms underlying acute and sustained response. Both remission and recovery are difficult to achieve for patients with schizophrenia and characterize only a minority of patients. Only a very small minority of patients (4.5%) that is impossible to identify a priori would do well without off antipsychotics.
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Affiliation(s)
- Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panagiotis Panagiotidis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ioannis Nimatoudis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Fountoulakis KN, Panagiotidis P, Kimiskidis V, Nimatoudis I, Gonda X. Neurological soft signs in familial and sporadic schizophrenia. Psychiatry Res 2019; 272:222-229. [PMID: 30590276 DOI: 10.1016/j.psychres.2018.12.105] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 12/17/2018] [Accepted: 12/19/2018] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Neurological soft signs (NSS) are a group of minor non-localizable neurological abnormalities found more often in patients with schizophrenia. The aim of the current study was investigate whether there is any difference in their manifestation in familial vs. sporadic schizophrenia. MATERIAL AND METHODS The study sample included 120 patients suffering from schizophrenia according to DSM-5 (71 males and 49 females; aged 32.79 ± 11.11 years old) and 110 normal controls (57 males and 53 females; aged 33.38 ± 10.14 years old). The assessment included the Neurological Evaluation Scale (NES) and the detailed investigation family history. The statistical analysis included exploratory Analysis of Covariance. RESULTS The results of the current study suggest that NSS are more frequent in familial cases of schizophrenia and are even more pronounced in cases with family history of psychosis in either first or second degree relatives. DISCUSSION Overall the results suggest the presence of a spectrum of increasing severity from healthy controls to sporadic cases, to cases with non-psychotic family history and eventually to cases with psychotic family history, rather than a categorical distribution.
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Affiliation(s)
- Konstantinos N Fountoulakis
- Professor of Psychiatry, 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, 6, Odysseos str (1st Parodos Ampelonon str.), Pylaia, Thessaloniki 55535, Greece.
| | - Panagiotis Panagiotidis
- Research associate, 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Greece.
| | - Vasilios Kimiskidis
- Laboratory of Clinical Neurophysiology, School of Medicine, Aristotle University of Thessaloniki Greece.
| | - Ioannis Nimatoudis
- Professor of Psychiatry, Chair, 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Greece.
| | - Xenia Gonda
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary; MTA-SE Neuropsychopharmacology and Neurochemistry Research Group of the Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary; NAP-A-SE New Antidepressant Target Research Group, Semmelweis University, Budapest, Hungary.
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