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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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Pérez-Ramos A, Romero-López-Alberca C, Hidalgo-Figueroa M, Berrocoso E, Pérez-Revuelta JI. A systematic review of the biomarkers associated with cognition and mood state in bipolar disorder. Int J Bipolar Disord 2024; 12:18. [PMID: 38758506 PMCID: PMC11101403 DOI: 10.1186/s40345-024-00340-z] [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: 03/06/2024] [Accepted: 05/02/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a severe psychiatric disorder characterized by changes in mood that alternate between (hypo) mania or depression and mixed states, often associated with functional impairment and cognitive dysfunction. But little is known about biomarkers that contribute to the development and sustainment of cognitive deficits. The aim of this study was to review the association between neurocognition and biomarkers across different mood states. METHOD Search databases were Web of Science, Scopus and PubMed. A systematic review was carried out following the PRISMA guidelines. Risk of bias was assessed with the Newcastle-Ottawa Scale. Studies were selected that focused on the correlation between neuroimaging, physiological, genetic or peripheral biomarkers and cognition in at least two phases of BD: depression, (hypo)mania, euthymia or mixed. PROSPERO Registration No.: CRD42023410782. RESULTS A total of 1824 references were screened, identifying 1023 published articles, of which 336 were considered eligible. Only 16 provided information on the association between biomarkers and cognition in the different affective states of BD. The included studies found: (i) Differences in levels of total cholesterol and C reactive protein depending on mood state; (ii) There is no association found between cognition and peripheral biomarkers; (iii) Neuroimaging biomarkers highlighted hypoactivation of frontal areas as distinctive of acute state of BD; (iv) A deactivation failure has been reported in the ventromedial prefrontal cortex (vmPFC), potentially serving as a trait marker of BD. CONCLUSION Only a few recent articles have investigated biomarker-cognition associations in BD mood phases. Our findings underline that there appear to be central regions involved in BD that are observed in all mood states. However, there appear to be underlying mechanisms of cognitive dysfunction that may vary across different mood states in BD. This review highlights the importance of standardizing the data and the assessment of cognition, as well as the need for biomarkers to help prevent acute symptomatic phases of the disease, and the associated functional and cognitive impairment.
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Affiliation(s)
- Anaid Pérez-Ramos
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain
- Centre for Biomedical Research in Mental Health (CIBERSAM), ISCI-III, Madrid, Spain
- Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, Faculty of Medicine, University of Cadiz, Cadiz, Spain
| | - Cristina Romero-López-Alberca
- Centre for Biomedical Research in Mental Health (CIBERSAM), ISCI-III, Madrid, Spain.
- Personality, Evaluation and Psychological Treatment Area, Department of Psychology, University of Cadiz, Cadiz, Spain.
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cadiz, Spain.
| | - Maria Hidalgo-Figueroa
- Centre for Biomedical Research in Mental Health (CIBERSAM), ISCI-III, Madrid, Spain
- Neuropsychopharmacology and Psychobiology Research Group, Psychobiology Area, Department of Psychology, University of Cadiz, Cadiz, Spain
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cadiz, Spain
| | - Esther Berrocoso
- Centre for Biomedical Research in Mental Health (CIBERSAM), ISCI-III, Madrid, Spain
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cadiz, Spain
- Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, Faculty of Medicine, University of Cadiz, Cadiz, Spain
| | - Jose I Pérez-Revuelta
- Centre for Biomedical Research in Mental Health (CIBERSAM), ISCI-III, Madrid, Spain
- Clinical Management of Mental Health Unit, University Hospital of Jerez, Andalusian Health Service, Cadiz, Spain
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cadiz, Spain
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Mavragani A, Sixsmith A, Pollock Star A, Haglili O, O'Rourke N. Direct and Indirect Predictors of Medication Adherence With Bipolar Disorder: Path Analysis. JMIR Form Res 2023; 7:e44059. [PMID: 36749623 PMCID: PMC9944145 DOI: 10.2196/44059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/24/2022] [Accepted: 12/27/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Despite the efficacy of treatment and severity of symptoms, medication adherence by many with bipolar disorder (BD) is variable at best. This poses a significant challenge for BD care management. OBJECTIVE For this study, we set out to identify psychosocial and psychiatric predictors of medication adherence with BD. METHODS Using microtargeted social media advertising, we recruited an international sample of young and older adults with BD living in North America (Canada and the United States), Western Europe (eg, United Kingdom and Ireland), Australia and New Zealand (N=92). On average, participants were 55.35 (SD 9.65; range 22-73) years of age, had been diagnosed with BD 14.25 (SD 11.14; range 1-46) years ago, and were currently prescribed 2.40 (SD 1.28; range 0-6) psychotropic medications. Participants completed questionnaires online including the Morisky Medication Adherence Scale. RESULTS Medication adherence did not significantly differ across BD subtypes, country of residence, or prescription of lithium versus other mood stabilizers (eg, anticonvulsants). Path analyses indicate that alcohol misuse and subjective or perceived cognitive failures are direct predictors of medication adherence. BD symptoms, psychological well-being, and the number of comorbid psychiatric conditions emerged as indirect predictors of medication adherence via perceived cognitive failures. CONCLUSIONS Alcohol misuse did not predict perceived cognitive failures. Nor did age predict medication adherence or cognitive failures. This is noteworthy given the 51-year age range of participants. That is, persons in their 20s with BD reported similar levels of medication adherence and perceived cognitive failures as those in their 60s. This suggests that perceived cognitive loss is a facet of adult life with BD, in contrast to the assumption that accelerated cognitive aging with BD begins in midlife.
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Affiliation(s)
| | - Andrew Sixsmith
- Science and Technology for Aging Research Institute, Simon Fraser University, Vancouver, BC, Canada
| | - Ariel Pollock Star
- Department of Epidemiology, Biostatistics and Community Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Ophir Haglili
- Department of Psychology, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Norm O'Rourke
- Department of Epidemiology, Biostatistics and Community Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.,Department of Psychology, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.,Center for Multidisciplinary Research in Aging, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
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van der Markt A, Beunders AJM, Korten NCM, Schouws SNTM, Beekman AT, Kupka RW, Klumpers U, Dols A. Illness progression in older-age bipolar disorder: Exploring the applicability, dispersion, concordance, and associated clinical markers of two staging models for bipolar disorder in an older population. Int J Geriatr Psychiatry 2022; 37:10.1002/gps.5816. [PMID: 36205029 PMCID: PMC9828008 DOI: 10.1002/gps.5816] [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: 06/28/2022] [Accepted: 09/29/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVES The validity and applicability of two existing staging models reflecting illness progression have been studied in bipolar disorder (BD) in adults, but not in older adult populations. Staging model A is primarily defined by the number and recurrence of mood episodes, model B is defined by the level of inter-episodic functioning. This study aimed to explore the applicability, dispersion, and concordance of, and associations with clinical markers in these two staging models in older-age bipolar disorder (OABD). METHODS Using cross-sectional data from the Dutch Older Bipolars study, OABD outpatients (N = 126, ≥50 years) were staged using models A and B. Dispersion over the stages and concordance between the models were assessed. Associations were explored between model stages and clinical markers (familial loading, childhood abuse, illness duration, episode density, treatment resistance, Mini-Mental State Examination, and composite cognitive score). RESULTS Ninety subjects could be assigned to model A, 111 to model B, 80 cases to both. The majority (61%) had multiple relapses (model A, stage 3C) but were living independently (model B, stage I-III). Concordance between models was low. For model A, the markers childhood abuse, illness duration, and episode density significantly increased over subsequent stages. Model B was not associated with a significant change in any marker. CONCLUSIONS Assigning stages to OABD subjects was possible for both models, with age-related adjustments for model B. Model B as currently operationalized may be less suitable for OABD or may measure different aspects of illness progression, reflected by its low correspondence with model A and lack of associated clinical markers.
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Affiliation(s)
- Afra van der Markt
- Department of PsychiatryAmsterdam UMC location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- GGZ In Geest Mental Health CareAmsterdamThe Netherlands
- Amsterdam Public HealthMental Health ProgramAmsterdamThe Netherlands
| | - Alexandra J. M. Beunders
- Department of PsychiatryAmsterdam UMC location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- GGZ In Geest Mental Health CareAmsterdamThe Netherlands
- Amsterdam Public HealthMental Health ProgramAmsterdamThe Netherlands
| | - Nicole C. M. Korten
- Department of PsychiatryAmsterdam UMC location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public HealthMental Health ProgramAmsterdamThe Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity and Attention ProgramAmsterdamThe Netherlands
| | - Sigfried N. T. M. Schouws
- Department of PsychiatryAmsterdam UMC location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity and Attention ProgramAmsterdamThe Netherlands
| | - Aartjan T.F. Beekman
- Department of PsychiatryAmsterdam UMC location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public HealthMental Health ProgramAmsterdamThe Netherlands
| | - Ralph W. Kupka
- Department of PsychiatryAmsterdam UMC location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- GGZ In Geest Mental Health CareAmsterdamThe Netherlands
- Amsterdam Public HealthMental Health ProgramAmsterdamThe Netherlands
| | - Ursula Klumpers
- Amsterdam Public HealthMental Health ProgramAmsterdamThe Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity and Attention ProgramAmsterdamThe Netherlands
| | - Annemiek Dols
- Department of PsychiatryAmsterdam UMC location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public HealthMental Health ProgramAmsterdamThe Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity and Attention ProgramAmsterdamThe Netherlands
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Characteristics of Bipolar Patients with Cognitive Impairment of Suspected Neurodegenerative Origin: A Multicenter Cohort. J Pers Med 2021; 11:jpm11111183. [PMID: 34834535 PMCID: PMC8620397 DOI: 10.3390/jpm11111183] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 10/29/2021] [Accepted: 11/09/2021] [Indexed: 11/17/2022] Open
Abstract
Bipolar disorder is associated with an increased risk of dementia with aging. Little is known regarding this association, limiting appropriate diagnosis and management. We aimed to describe the characteristics of bipolar patients with late cognitive impairment for whom the hypothesis of an underlying neurodegenerative disease had been raised. We performed a retrospective multicenter study, recruiting bipolar patients over 50 years old from five French tertiary memory centers who had undergone cerebrospinal fluid (CSF) biomarker assessment for Alzheimer’s disease (AD). Clinical, neuropsychological, and paraclinical characteristics were analyzed and 78 patients were included. The mean age at the onset of cognitive impairment was 62.4 years (±9.2). The mean MMSE score was 22.8 (±4.5), the mean FAB was 11.7 (±3.9), and the mean FCRST was 15.8 (±7.4)/36.8 (±9.7) (free/total recall). A total of 48.6% of the patients displayed cognitive fluctuations, and 38.2% showed cognitive improvement during follow-ups; and 56.3% of the patients showed Parkinsonism, of which 12.7% had never received antipsychotics. Among patients who underwent DAT-scans, 35.3% displayed dopaminergic denervation; 10.3% of patients had CSF AD biological signature (“A+ T+” profile), while 56.4% had other abnormal CSF profiles. Thus, clinical presentation was dominated by executive dysfunction, episodic memory impairment, fluctuating cognition, and a high frequency of Parkinsonism. Specifically, high frequency of delusional episodes suggests limited tolerance of psychotropic drugs. Most patients had abnormal CSF biomarker profiles, but only a minority displayed AD’s specific biomarker signature. Therefore, while our results unveil shared common neurocognitive features in bipolar patients with cognitive impairment of suspected neurodegenerative origin they suggest a participation of various underlying pathologies rather than a common degenerative mechanism in the pathophysiology of this condition.
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O'Rourke N, Sixsmith A, Kirshner G, Osher Y. Perceived cognitive failures and quality of life for older adults with bipolar disorder. J Affect Disord 2021; 287:433-440. [PMID: 33862304 DOI: 10.1016/j.jad.2021.03.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/19/2021] [Accepted: 03/10/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND Older adults with bipolar disorder (BD) commonly present with cognitive deficits (e.g., attention, memory, verbal fluency). Concomitantly, older adults with BD commonly report subjective or perceived cognitive failures. For this study, we confirmed a 3-factor model of cognitive failures first validated with older adults free of mental illness (i.e., forgetfulness, distractibility, false triggering). We then computed a structural equation model (SEM) demonstrating the construct validity of perceived cognitive errors in relation to quality of life with BD. Use of SEM enabled us to measure quality of life broadly and germane to BD (i.e., well-being, life satisfaction, alcohol misuse, sleep quality). METHODS We obtained responses from an international sample of 350 older adults with BD (M = 61.26 years of age, range 50-87), recruited via micro-targeted social media advertising. Most lived in Canada, the U.S., U.K., Ireland, Australia and South Africa. RESULTS As hypothesized, perceived cognitive failures were predicted by BD symptoms (depression and hypo/mania). And cognitive failures directly and indirectly predicted quality of life. LIMITATIONS Future research is needed to replicate this QoL model over time with younger patients and those recruited using more traditional methods. CONCLUSIONS Perceived cognitive failures may not be strongly correlated with objective indices of cognitive deficits; nonetheless perceived cognitive failures are significantly associated with quality of life for older adults with BD. For both cognitive errors and BD symptoms, their indirect effect on quality of life (via suicide ideation) is greater than the direct effect.
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Affiliation(s)
- Norm O'Rourke
- Department of Public Health and Multidisciplinary Center for Research on Aging, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
| | - Andrew Sixsmith
- STAR Institute, Simon Fraser University, Vancouver (BC) Canada
| | - Gita Kirshner
- Department of Public Health, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Yamima Osher
- Be'er Sheva Mental Health Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
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