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Klaus F, Ng HX, Barbosa IG, Beunders A, Briggs F, Burdick KE, Dols A, Forlenza O, Gildengers A, Millett C, Mulsant BH, Orhan M, Rajji TK, Rej S, Sajatovic M, Sarna K, Schouws S, Sutherland A, Teixeira AL, Yala JA, Eyler LT. Cognition in older age bipolar disorder: An analysis of archival data across the globe. J Affect Disord 2024; 355:231-238. [PMID: 38548199 DOI: 10.1016/j.jad.2024.03.126] [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: 09/06/2023] [Revised: 02/27/2024] [Accepted: 03/23/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Cognitive deficits in bipolar disorder (BD) impact functioning and are main contributors to disability in older age BD (OABD). We investigated the difference between OABD and age-comparable healthy comparison (HC) participants and, among those with BD, the associations between age, global cognitive performance, symptom severity and functioning using a large, cross-sectional, archival dataset harmonized from 7 international OABD studies. METHODS Data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) database, spanning various standardized measures of cognition, functioning and clinical characteristics, were analyzed. The sample included 662 euthymic to mildly symptomatic participants aged minimum 50years (509 BD, 153 HC), able to undergo extensive cognitive testing. Linear mixed models estimated associations between diagnosis and global cognitive performance (g-score, harmonized across studies), and within OABD between g-score and severity of mania and depressive symptoms, duration of illness and lithium use and of global functioning. RESULTS After adjustment for study cohort, age, gender and employment status, there was no significant difference in g-score between OABD and HC, while a significant interaction emerged between employment status and diagnostic group (better global cognition associated with working) in BD. Within OABD, better g-scores were associated with fewer manic symptoms, higher education and better functioning. LIMITATIONS Cross-sectional design and loss of granularity due to harmonization. CONCLUSION More research is needed to understand heterogenous longitudinal patterns of cognitive change in BD and understand whether particular cognitive domains might be affected in OABD in order to develop new therapeutic efforts for cognitive dysfunction OABD.
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Affiliation(s)
- Federica Klaus
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA.
| | - Hui Xin Ng
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Izabela G Barbosa
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Alexandra Beunders
- GGZ inGeest Specialized Mental Health Care, Department of Old Age Psychiatry, Amsterdam, the Netherlands; Amsterdam UMC, Amsterdam Public Health research institute, Amsterdam, the Netherlands
| | - Farren Briggs
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Katherine E Burdick
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Annemieke Dols
- Amsterdam UMC, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, the Netherlands; Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Orestes Forlenza
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry, HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
| | - Ariel Gildengers
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, USA
| | - Caitlin Millett
- Institute of Behavioral Science, The Feinstein Institutes of Medical Research, New York, USA
| | - Benoit H Mulsant
- Department of Psychiatry, Center for Addiction & Mental Health, University of Toronto, Toronto, Canada
| | - Melis Orhan
- Institute of Clinical Psychology, Leiden University, Leiden, the Netherlands
| | - Tarek K Rajji
- Department of Psychiatry, Center for Addiction & Mental Health, University of Toronto, Toronto, Canada
| | - Soham Rej
- Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Canada
| | - Martha Sajatovic
- Case Western Reserve University School of Medicine (MS), University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Kaylee Sarna
- Case Western Reserve University School of Medicine (MS), University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Sigfried Schouws
- GZZ inGeest Specialized Mental Health Care, Department of Old Age Psychiatry, Amsterdam, the Netherlands
| | - Ashley Sutherland
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Antonio L Teixeira
- Department of Psychiatry and Behavioral Sciences, University of Texas/McGovern Medical School, Houston, TX, USA; Faculdade Santa Casa BH, Belo Horizonte, Minas Gerais, Brazil
| | - Joy A Yala
- Case Western Reserve University School of Medicine (MS), University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
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Dols A, Sajatovic M. What is really different about older age bipolar disorder? Eur Neuropsychopharmacol 2024; 82:3-5. [PMID: 38325230 DOI: 10.1016/j.euroneuro.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 02/09/2024]
Affiliation(s)
- Annemiek Dols
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Martha Sajatovic
- Case Western Reserve University School of Medicine (MS), University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
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Abstract
PURPOSE OF REVIEW Older age bipolar disorder (OABD) refers to patients with bipolar disorder aged 50 years and over. There is a paucity of evidence-based guidelines specific to OABD, but in recent years, several studies have been published on OABD. The current review synthesizes previous literature (up to January 1, 2021) as well as most recent literature on OABD (since January 1, 2021). RECENT FINDINGS This review covers the following themes: diagnosis and specifiers, clinical course, psychosocial functioning, cognition, physical comorbidities, and pharmacotherapy. On the basis of the latest data, specific clinical recommendations are proposed for each theme. SUMMARY OABD forms a more complex subgroup of bipolar disorder, with an increased risk of cognitive deficits, physical comorbidities, impaired psychosocial functioning, and premature death. The distinctions between BD-I and BD-II and between EOBD and LOBD do not clinically represent relevant subtypes for OABD patients. Mental healthcare professionals should treat all OABD patients with an integrative care model that takes into account cognitive and physical comorbidities and that contains elements aimed at improvement of psychosocial functioning and quality of life. Older age itself should not be a reason to withhold lithium treatment. Future research should collect data on essential data domains using validated measurement scales.
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Affiliation(s)
- Alexandra J M Beunders
- GGZ inGeest Specialized Mental Healthcare
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Psychiatry
- Amsterdam Public Health Research Institute, Mental Health, Amsterdam
| | - Melis Orhan
- Institute of Clinical Psychology, Leiden University, Leiden
| | - Annemiek Dols
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
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Montejo L, Orhan M, Chen P, Eyler LT, Gildengers A, Martinez-Aran A, Nunes PV, Olagunju AT, Patrick R, Vieta E, Dols A, Jimenez E. Functioning in older adults with bipolar disorder: A report on recommendations by the International Society of bipolar disorder (ISBD) older adults with bipolar disorder (OABD) task force. Bipolar Disord 2023; 25:457-468. [PMID: 37495508 DOI: 10.1111/bdi.13368] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
OBJECTIVES Despite the importance of psychosocial functioning impairment in Bipolar Disorder (BD), its role among Older Adults with BD (OABD) is not well known. The development of guidelines for the assessment of psychosocial functioning helps to facilitate a better understanding of OABD and can lead to better tailored interventions to improve the clinical outcomes of this population. METHODS Through a series of virtual meetings, experts from eight countries in the International Society of Bipolar Disorder (ISBD) on OABD task force developed recommendations for the assessment of psychosocial functioning. RESULTS We present (1) a conceptualization of functioning in OABD and differences compared with younger patients; (2) factors related to functioning in OABD; (3) current measures of functioning in OABD and their strengths and limitations; and, (4) other potential sources of information to assess functioning. CONCLUSIONS The task force created recommendations for assessing functioning in OABD. Current instruments are limited, so measures specifically designed for OABD, such as the validated FAST-O scale, should be more widely adopted. Following the proposed recommendations for assessment can improve research and clinical care in OABD and potentially lead to better treatment outcomes.
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Affiliation(s)
- Laura Montejo
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences (UB Neuro), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Melis Orhan
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, the Netherlands
| | - Peijun Chen
- Department of Psychiatry, Geriatric Research, Education, and Clinical Center, VA Northeast Ohio Health System Cleveland VA Medical Center, Cleveland, Ohio, USA
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, California, USA
| | - Ariel Gildengers
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Anabel Martinez-Aran
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences (UB Neuro), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain
| | - Paula Villela Nunes
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, SP, Brazil
| | - Andrew T Olagunju
- Department of Psychiatry and Behavioral Neurosciences, McMaster University/St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Regan Patrick
- Departments of Neuropsychology & Geriatric Psychiatry, McLean Hospital, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences (UB Neuro), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain
| | - Annemiek Dols
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Esther Jimenez
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences (UB Neuro), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
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Abstract
OBJECTIVE To identify cognitive phenotypes in late-life depression (LLD) and describe relationships with sociodemographic and clinical characteristics. DESIGN Observational cohort study. SETTING Baseline data from participants recruited via clinical referrals and community advertisements who enrolled in two separate studies. PARTICIPANTS Non-demented adults with LLD (n = 120; mean age = 66.73 ± 5.35 years) and non-depressed elders (n = 56; mean age = 67.95 ± 6.34 years). MEASUREMENTS All completed a neuropsychological battery, and individual cognitive test scores were standardized across the entire sample without correcting for demographics. Five empirically derived cognitive domain composites were created, and cluster analytic approaches (hierarchical, k-means) were independently conducted to classify cognitive patterns in the depressed cohort only. Baseline sociodemographic and clinical characteristics were then compared across groups. RESULTS A three-cluster solution best reflected the data, including "High Normal" (n = 47), "Reduced Normal" (n = 35), and "Low Executive Function" (n = 37) groups. The "High Normal" group was younger, more educated, predominantly Caucasian, and had fewer vascular risk factors and higher Mini-Mental Status Examination compared to "Low Executive Function" group. No differences were observed on other sociodemographic or clinical characteristics. Exploration of the "High Normal" group found two subgroups that only differed in attention/working memory performance and length of the current depressive episode. CONCLUSIONS Three cognitive phenotypes in LLD were identified that slightly differed in sociodemographic and disease-specific variables, but not in the quality of specific symptoms reported. Future work on these cognitive phenotypes will examine relationships to treatment response, vulnerability to cognitive decline, and neuroimaging markers to help disentangle the heterogeneity seen in this patient population.
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Affiliation(s)
- Sarah M. Szymkowicz
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Claire Ryan
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Damian M. Elson
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Warren D. Taylor
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA
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Beunders AJM, Klaus F, Kok AAL, Schouws SNTM, Kupka RW, Blumberg HP, Briggs F, Eyler LT, Forester BP, Forlenza OV, Gildengers A, Jimenez E, Mulsant BH, Patrick RE, Rej S, Sajatovic M, Sarna K, Sutherland A, Yala J, Vieta E, Villa LM, Korten NCM, Dols A. Bipolar I and bipolar II subtypes in older age: Results from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) project. Bipolar Disord 2023; 25:43-55. [PMID: 36377516 PMCID: PMC10265276 DOI: 10.1111/bdi.13271] [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] [Indexed: 11/16/2022]
Abstract
OBJECTIVES The distinction between bipolar I disorder (BD-I) and bipolar II disorder (BD-II) has been a topic of long-lasting debate. This study examined differences between BD-I and BD-II in a large, global sample of OABD, focusing on general functioning, cognition and somatic burden as these domains are often affected in OABD. METHODS Cross-sectional analyses were conducted with data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) database. The sample included 963 participants aged ≥50 years (714 BD-I, 249 BD-II). Sociodemographic and clinical factors were compared between BD subtypes including adjustment for study cohort. Multivariable analyses were conducted with generalized linear mixed models (GLMMs) and estimated associations between BD subtype and (1) general functioning (GAF), (2) cognitive performance (g-score) and (3) somatic burden, with study cohort as random intercept. RESULTS After adjustment for study cohort, BD-II patients more often had a late onset ≥50 years (p = 0.008) and more current severe depression (p = 0.041). BD-I patients were more likely to have a history of psychiatric hospitalization (p < 0.001) and current use of anti-psychotics (p = 0.003). Multivariable analyses showed that BD subtype was not related to GAF, cognitive g-score or somatic burden. CONCLUSION BD-I and BD-II patients did not differ in terms of general functioning, cognitive impairment or somatic burden. Some clinical differences were observed between the groups, which could be the consequence of diagnostic definitions. The distinction between BD-I and BD-II is not the best way to subtype OABD patients. Future research should investigate other disease specifiers in this population.
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Affiliation(s)
- Alexandra J. M. Beunders
- GGZ inGeest Specialized Mental Health Care, Old Age PsychiatryAmsterdamThe Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, PsychiatryAmsterdamThe Netherlands
- Amsterdam Public Health research institute, Mental HealthAmsterdamThe Netherlands
| | - Federica Klaus
- Department of PsychiatryUniversity of California San DiegoSan DiegoCaliforniaUSA
- Desert‐Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare SystemSan DiegoUSA
| | - Almar A. L. Kok
- GGZ inGeest Specialized Mental Health Care, Old Age PsychiatryAmsterdamThe Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, PsychiatryAmsterdamThe Netherlands
- Amsterdam Public Health research institute, Mental HealthAmsterdamThe Netherlands
| | - Sigfried N. T. M. Schouws
- GGZ inGeest Specialized Mental Health Care, Old Age PsychiatryAmsterdamThe Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, PsychiatryAmsterdamThe Netherlands
- Amsterdam Public Health research institute, Mental HealthAmsterdamThe Netherlands
| | - Ralph W. Kupka
- GGZ inGeest Specialized Mental Health Care, Old Age PsychiatryAmsterdamThe Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, PsychiatryAmsterdamThe Netherlands
- Amsterdam Public Health research institute, Mental HealthAmsterdamThe Netherlands
| | | | - Farren Briggs
- Department of Population and Quantitative Health SciencesCase Western Reserve University School of MedicineClevelandOhioUSA
| | - Lisa T. Eyler
- Department of PsychiatryUniversity of California San DiegoSan DiegoCaliforniaUSA
- Desert‐Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare SystemSan DiegoUSA
| | - Brent P. Forester
- Division of Geriatric PsychiatryMcLean HospitalBelmontMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
| | - Orestes V. Forlenza
- Laboratory of Neuroscience (LIM27), Department and Institute of PsychiatryHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo HCFMUSPSão PauloBrazil
| | - Ariel Gildengers
- Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Esther Jimenez
- Bipolar and Depressive Disorders Unit, Hospital ClinicUniversity of Barcelona, IDIBAPS, CIBERSAMBarcelonaSpain
| | - Benoit H. Mulsant
- Department of Psychiatry, Center for Addiction & Mental HealthUniversity of TorontoTorontoOntarioCanada
| | - Regan E. Patrick
- Division of Geriatric PsychiatryMcLean HospitalBelmontMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
| | - Soham Rej
- GeriPARTy Research GroupJewish General Hospital/ Lady Davis InstituteMontrealQuebecCanada
- McGill UniversityMontrealQuebecCanada
| | - Martha Sajatovic
- Case Western Reserve University School of MedicineUniversity Hospitals Case Medical CenterClevelandOhioUSA
| | - Kaylee Sarna
- Case Western Reserve University School of MedicineUniversity Hospitals Case Medical CenterClevelandOhioUSA
| | - Ashley Sutherland
- Department of PsychiatryUniversity of California San DiegoSan DiegoCaliforniaUSA
- Desert‐Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare SystemSan DiegoUSA
| | - Joy Yala
- Case Western Reserve University School of MedicineUniversity Hospitals Case Medical CenterClevelandOhioUSA
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital ClinicUniversity of Barcelona, IDIBAPS, CIBERSAMBarcelonaSpain
| | - Luca M. Villa
- Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Nicole C. M. Korten
- GGZ inGeest Specialized Mental Health Care, Old Age PsychiatryAmsterdamThe Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, PsychiatryAmsterdamThe Netherlands
- Amsterdam Public Health research institute, Mental HealthAmsterdamThe Netherlands
| | - Annemieke Dols
- GGZ inGeest Specialized Mental Health Care, Old Age PsychiatryAmsterdamThe Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, PsychiatryAmsterdamThe Netherlands
- Amsterdam Public Health research institute, Mental HealthAmsterdamThe Netherlands
- Amsterdam Neuroscience, NeurodegenerationAmsterdamThe Netherlands
- Department of Psychiatry, UMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrechtThe Netherlands
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Aging in bipolar disorder: Cognitive performance and clinical factors based on an adulthood-lifespan perspective. J Affect Disord 2022; 312:292-302. [PMID: 35752219 DOI: 10.1016/j.jad.2022.06.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND The evolution of cognitive performance throughout the lifespan in bipolar disorder (BD) is understudied. This cross-sectional study aims to describe the cognitive performance across age groups. METHODS A sample of 654 participants was recruited for this study (BD = 432 and healthy controls -HC- =222). Three subgroups, divided according to age range (18 to 35, 36 to 49, and ≥50 years old) were analyzed after administering a comprehensive neuropsychological battery including six cognitive domains. Demographic, clinical, and psychosocial functioning data were also analyzed. Generalized linear models (GLM) with age, diagnostic group, and age × group as main effects were carried out to examine their potential association on cognitive domains. Subsequently, a GLM in the BD sample was conducted to analyze interactions of several clinical variables by age on each cognitive domain. RESULTS Main effects of diagnostic group and age were found in all cognitive domains. Significant group × age effect interaction was found for attention domain (p = 0.02) demonstrating a worse cognitive evolution across age in BD, driven by older age, but not in HC. Significant interaction effects of higher number of manic episodes and older age were also found in attention and verbal memory. Older age was also associated with a longer duration of illness, higher number of episodes, more somatic comorbidities, and poorer psychosocial functioning. CONCLUSIONS These results suggest that older age was associated with a selective cognitive decline in BD in the attentional domain. These findings highlight the importance of developing interventions targeting cognitive dysfunction throughout the BD adulthood lifespan.
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Functional Remediation for Older Adults with Bipolar Disorder (FROA-BD): study protocol for a randomized controlled trial. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2022. [DOI: 10.1016/j.rpsm.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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9
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Orsolini L, Menculini G, Tempia Valenta S, Fiorani M, Rocchetti D, Salvi V, Tortorella A, Volpe U. Depressive and Anxious Temperaments as Predictors of Late Onset Bipolar Disorder? Preliminary Results of a "Real World" Exploratory Study. Front Psychiatry 2022; 13:836187. [PMID: 35250676 PMCID: PMC8892420 DOI: 10.3389/fpsyt.2022.836187] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/10/2022] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Bipolar disorder (BD) onset typically occurs between 15 and 30 years, being diagnosed under the age of 50 in 90% of cases, named "non-late onset BD" (non-LOBD). However, clinical observation of late-onset BD (LOBD) raised some concern regarding a differential psychopathological pattern, outcomes and treatment, including a specific affective temperament vulnerability. Therefore, an exploratory study in the "real world" was carried out by investigating psychopathological and temperamental features of a psychogeriatric cohort of LOBD and non-LOBD subjects. METHODS A total of 180 patients affected with BD-I, BD-II, and Cyclothymic Disorder were screened in a Mood Disorder Outpatient Service, during the timeframe January 2019-August 2021. Out of 78 enrolled outpatients, 66 (33 non-LOBD, 33 LOBD) were recruited, by the retrospective collection of sociodemographic, cognitive, psychopathological and clinical assessment, including the short-version of the Temperament Evaluation of Memphis, Pisa, and San Diego (TEMPS-M). RESULTS LOBD is significantly associated with higher rates of BD-II diagnosis (χ2 = 27.692, p < 0.001), depressive episodes (p = 0.025), mixed states (p = 0.009), predominant depressive and anxious affective temperaments (p < 0.001). Non-LOBD is significantly associated with higher endocrinological (χ2 = 6.988, p = 0.008) and metabolic comorbidity (χ2 = 5.987, p = 0.014), a diagnosis of BD-I, manic episodes, and predominant hyperthymic affective temperaments (p = 0.001). GDS (p < 0.001) and MSRS (p = 0.005) scores were significantly higher in LOBD. CONCLUSION Further longitudinal studies with larger sample sizes and a control group are needed to determine whether LOBD may represent a distinct psychopathological entity from non-LOBD and evaluate differences (if any) in terms of prognosis and treatment between non-LOBD and LOBD.
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Affiliation(s)
- Laura Orsolini
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, School of Medicine and Surgery, Polytechnic University of Marche, Ancona, Italy
| | | | - Silvia Tempia Valenta
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, School of Medicine and Surgery, Polytechnic University of Marche, Ancona, Italy
| | - Michele Fiorani
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, School of Medicine and Surgery, Polytechnic University of Marche, Ancona, Italy
| | - David Rocchetti
- Unit of Clinical Psychiatry, Azienda Ospedaliero Universitaria "Ospedali Riuniti", Ancona, Italy
| | - Virginio Salvi
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, School of Medicine and Surgery, Polytechnic University of Marche, Ancona, Italy
| | | | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, School of Medicine and Surgery, Polytechnic University of Marche, Ancona, Italy
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