Essential data dimensions for prospective international data collection in older age bipolar disorder (OABD): Recommendations from the GAGE-BD group
Jazyk angličtina Země Dánsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
www.isbd.org
International Society for Bipolar Disorder (ISBD) Bowden Massey Strategic Research Initiative
PubMed
36843436
DOI
10.1111/bdi.13312
Knihovny.cz E-zdroje
- Klíčová slova
- international collaboration, older age bipolar disorder, prospective studies,
- MeSH
- bipolární porucha * diagnóza epidemiologie terapie MeSH
- kognice MeSH
- lidé MeSH
- prospektivní studie MeSH
- sběr dat MeSH
- senioři MeSH
- směrnice pro lékařskou praxi jako téma MeSH
- stárnutí psychologie MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: By 2030, over 50% of individuals living with bipolar disorder (BD) are expected to be aged ≥50 years. However, older age bipolar disorder (OABD) remains understudied. There are limited large-scale prospectively collected data organized in key dimensions capable of addressing several fundamental questions about BD affecting this subgroup of patients. METHODS: We developed initial recommendations for the essential dimensions for OABD data collection, based on (1) a systematic review of measures used in OABD studies, (2) a Delphi consensus of international OABD experts, (3) experience with harmonizing OABD data in the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD, n ≥ 4500 participants), and (4) critical feedback from 34 global experts in geriatric mental health. RESULTS: We identified 15 key dimensions and variables within each that are relevant for the investigation of OABD: (1) demographics, (2) core symptoms of depression and (3) mania, (4) cognition screening and subjective cognitive function, (5) elements for BD diagnosis, (6) descriptors of course of illness, (7) treatment, (8) suicidality, (9) current medication, (10) psychiatric comorbidity, (11) psychotic symptoms, (12) general medical comorbidities, (13) functioning, (14) family history, and (15) other. We also recommend particular instruments for capturing some of the dimensions and variables. CONCLUSION: The essential data dimensions we present should be of use to guide future international data collection in OABD and clinical practice. In the longer term, we aim to establish a prospective consortium using this core set of dimensions and associated variables to answer research questions relevant to OABD.
Department of Old Age Psychiatry GGZ inGeest Amsterdam The Netherlands
Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
Department of Psychiatry University of California San Diego San Diego California USA
Department of Psychiatry University of Oxford Oxford UK
Department of Psychiatry University of Sao Paulo São Paulo Brazil
Department of Psychiatry Yale School of Medicine New Haven Connecticut USA
Division of Geriatric Psychiatry McLean Hospital Belmont Massachusetts USA
Division of Geriatric Psychiatry McLean Hospital Harvard Medical School Boston Massachusetts USA
Federal Neuro psychiatric Hospital Yaba Lagos Nigeria
Institute of Psychiatry Psychology and Neuroscience King's College London London UK
Medical Faculty Bipolar Center Wiener Neustadt Sigmund Freud University Wien Austria
Medical School University of Western Australia Perth Western Australia Australia
National Institute of Mental Health Klecany Czech Republic
Selçuk University Medical Faculty Department of Psychiatry Mazhar Osman Mood Clinic Konya Turkey
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United Nations, Department of Economic and Social Affairs, Population Division (2015). World Population Ageing 2015 (ST/ESA/SER.A/390). http://www.un.org/esa/population/publications/worldageing19502050/pdf/80chapterii.pdf Accessed 11/12/2022
Rowland TA, Marwaha S. Epidemiology and risk factors for bipolar disorder. Ther Adv Psychopharmacol. 2018;8(9):251-269. doi:10.1177/2045125318769235
Depp CA, Jeste DV. Bipolar disorder in older adults: a critical review. Bipolar Disord. 2004;6(5):343-367. doi:10.1111/j.1399-5618.2004.00139.x
Yu C, Sylvestre JD, Segal M, Looper KJ, Rej S. Predictors of psychiatric re-hospitalization in older adults with severe mental illness. Int J Geriatr Psychiatry. 2015;30(11):1114-1119. doi:10.1002/gps.4361
Dols A, Korten N, Comijs H, et al. The clinical course of late-life bipolar disorder, looking back and forward. Bipolar Disord. 2017;20:459-469. doi:10.1111/bdi.12586
Sajatovic M, Eyler LT, Rej S, et al. The global aging & geriatric experiments in bipolar disorder database (GAGE-BD) project: understanding older-age bipolar disorder by combining multiple datasets. Bipolar Disord. 2019;21(7):642-649. doi:10.1111/bdi.12795
Sajatovic M, Strejilevich SA, Gildengers AG, et al. A report on older-age bipolar disorder from the international society for bipolar disorders task force. Bipolar Disord. 2015;17(7):689-704. doi:10.1111/bdi.12331
Dols A, Kessing LV, Strejilevich SA, et al. International society for bipolar disorders task force for older adults with bipolar disorder. Do current national and international guidelines have specific recommendations for older adults with bipolar disorder? A brief report. Int J Geriatr Psychiatry. 2016;31(12):1295-1300. doi:10.1002/gps.4534
Beunders AJM, Klaus F, Kok AAL, et al. 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. 2022;25:43-55. doi:10.1111/bdi.13271
Almeida OP, Dols A, Blanken MAJT, et al. Physical health burden among older men and women with bipolar disorder: results from the Gage-Bd collaboration. Am J Geriatr Psychiatry. 2022;30(6):727-732. doi:10.1016/j.jagp.2021.12.006
Chen P, Eyler LT, Gildengers A, et al. Demographic and clinical characteristics of antipsychotic drug-treated older adults with bipolar disorder from the global aging & geriatric experiments in bipolar disorder database (GAGE-BD). Psychopharmacol Bull. 2022;52(2):8-33.
Eyler LT, Briggs FBS, Dols A, et al. Symptom severity Mixity in older-age bipolar disorder: analyses from the global aging and geriatric experiments in bipolar disorder database (GAGE-BD). Am J Geriatr Psychiatry. 2022;30(10):1096-1107. doi:10.1016/j.jagp.2022.03.007
Forlenza OV, Hajek T, Almeida OP, et al. GAGE-BD initiative. Demographic and clinical characteristics of lithium-treated older adults with bipolar disorder. Acta Psychiatr Scand. 2022;146(5):442-455. doi:10.1111/acps.13474
Lavin P, Buck G, Almeida OP, et al. Clinical correlates of late-onset versus early-onset bipolar disorder in a global sample of older adults. Int J Geriatr Psychiatry. 2022;37(12). doi:10.1002/gps.5833
Orhan M, Millett C, Klaus F, et al. Comparing continuous and harmonized measures of depression severity in older adults with bipolar disorder: relationship to functioning. J Affect Disord. 2022;314:44-49. doi:10.1016/j.jad.2022.06.074
Sajatovic M, Dols A, Rej S, et al. Bipolar symptoms, somatic burden, and functioning in older-age bipolar disorder: analyses from the Global Aging & Geriatric Experiments in bipolar disorder database project. Bipolar Disord. 2022;24(2):195-206. doi:10.1111/bdi.13119
Rej S, Quayle W, Forester BP, et al. Measurement tools for assessment of older age bipolar disorder: a systematic review of the recent global literature. Bipolar Disord. 2018;20(4):359-369.
Hasson F, Keeney S, McKenna H. Research guidelines for the Delphi survey technique. J Adv Nurs. 2000;32(4):1008-1015.
Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. 1979;134(4):382-389. doi:10.1192/bjp.134.4.382
Engedal K, Kvaal K, Korsnes M, et al. The validity of the Montgomery-Aasberg depression rating scale as a screening tool for depression in later life. J Affect Disord. 2012;141(2-3):227-232. doi:10.1016/j.jad.2012.02.042
Mottram P, Wilson K, Copeland J. Validation of the Hamilton depression rating scale and Montgommery and Asberg rating scales in terms of AGECAT depression cases. Int J Geriat Psychiatry. 2000;15:1113-1119.
Zimmerman M, Posternak MA, Chelminski I. Is it time to replace the Hamilton depression rating scale as the primary outcome measure in treatment studies of depression? J Clin Psychopharmacol. 2005;25:105-110.
Bagby RM, Ryder AG, Schuller DR, Marshall MB. The Hamilton depression rating scale: has the gold standard become a lead weight? Am J Psychiatry. 2004;161:2163-2177.
Huijbrechts IP, Haffmans PM, Jonker K, van Dijke A, Hoencamp E. A comparison of the 'Hamilton rating scale for depression' and the 'Montgomery-Asberg depression rating scale'. Acta Neuropsychiatr. 1999;11:34-37.
Carmody TJ, Rush AJ, Bernstein I, et al. The Montgomery Asberg and the Hamilton ratings of depression: a comparison of measures. Eur Neuropsychopharmacol. 2006;16:601-611.
Khan A, Brodhead AE, Kolts RL. Relative sensitivity of the Montgomery-Asberg depression rating scale, the Hamilton depression rating scale and the clinical global impressions rating scale in antidepressant clinical trials: a replication analysis. Int Clin Psychopharmacol. 2004;19:157-160.
Young RC, Biggs JT, Ziegler VE, Meyer DA. A rating scale for mania: reliability, validity and sensitivity. Br J Psychiatry. 1978;133:429-435.
Poptsi E, Moraitou D, Eleftheriou M, et al. Normative data for the Montreal cognitive assessment in older adults with subjective cognitive decline, mild cognitive impairment and dementia. J Geriatr Psychiatry Neurol. 2019;32(5):265-274. doi:10.1177/0891988719853046
Rosa AR, Mercadé C, Sánchez-Moreno J, et al. Validity and reliability of a rating scale on subjective cognitive deficits in bipolar disorder (COBRA). J Affect Disord. 2013;150(1):29-36.
Malek-Ahmadi M, Powell JJ, Belden CM, et al. Age- and education-adjusted normative data for the Montreal cognitive assessment (MoCA) in older adults age 70-99. Aging Neuropsychol Cogn. 2015;22(6):755-761.
Dawes P, Pye A, Reeves D, et al. Protocol for the development of versions of the Montreal cognitive assessment (MoCA) for people with hearing or vision impairment. BMJ Open. 2019;9(3):e026246. doi:10.1136/bmjopen-2018-026246
Trzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ. Alzheimer's disease neuroimaging initiative. Relationship between the Montreal cognitive assessment and Mini-mental state examination for assessment of mild cognitive impairment in older adults. BMC Geriatr. 2015;7(15):107. doi:10.1186/s12877-015-0103-3
Jessen F. Subjective and objective cognitive decline at the pre-dementia stage of Alzheimer's disease. Eur Arch Psychiatry Clin Neurosci. 2014;264(Suppl 1):S3-S7. doi:10.1007/s00406-014-0539-z
Jenkins A, Tree J, Tales A. Distinct profile differences in subjective cognitive decline in the general public are associated with metacognition, negative affective symptoms, neuroticism, stress, and poor quality of life. J Alzheimers Dis. 2021;80(3):1231-1242. doi:10.3233/JAD-200882
Flemenbaum A, Zimmermann RL. Inter- and intra-rater reliability of the brief psychiatric rating scale. Psychol Rep. 1973;32(3):783-792. doi:10.2466/pr0.1973.33.3.783
Shafer A, Dazzi F. Meta-analytic exploration of the joint factors of the brief psychiatric rating scale-expanded (BPRS-E) and the positive and negative symptoms scales (PANSS). J Psychiatr Res. 2021;138:519-527. doi:10.1016/j.jpsychires.2021.04.016
Parmelee PA, Thuras PD, Katz IR, Lawton MP. Validation of the cumulative illness rating scale in a geriatric residential population. J Am Geriatr Soc. 1995;43(2):130-137. doi:10.1111/j.1532-5415.1995.tb06377.x
Orhan M, Korten N, Kupka R, et al. Reliability and validity of the functioning assessment short test for older adults with bipolar disorder (FAST-O). Int J Bipolar Disord. 2020;8(1):28. doi:10.1186/s40345-020-00193-2
Michalak EE, Murray G. Collaborative RESearch team to study psychosocial issues in bipolar disorder (CREST.BD). Development of the QoL.BD: a disorder-specific scale to assess quality of life in bipolar disorder. Bipolar Disord. 2010 Nov;12(7):727-740. doi:10.1111/j.1399-5618.2010.00865.x
Vieta E, Angst J. Bipolar disorder cohort studies: crucial, but underfunded. Eur Neuropsychopharmacol. 2021;47:31-33. doi:10.1016/j.euroneuro.2021.03.008
McInnis MG, Andreassen OA, Andreazza AC, et al. Strategies and foundations for scientific discovery in longitudinal studies of bipolar disorder. Bipolar Disord. 2022;24:1-10. doi:10.1111/bdi.13198