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Lin CH, Hsu CC, Chan HY, Chen JJ. Prescribing patterns for older-age bipolar disorder patients discharged from two public mental hospitals in Taiwan, 2006-2019. Psychogeriatrics 2024; 24:1324-1334. [PMID: 39343435 DOI: 10.1111/psyg.13197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 08/03/2024] [Accepted: 09/13/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND Older-age bipolar disorder (OABD) is commonly defined as bipolar disorder in individuals aged 60 or more. There have been no studies to examine temporal trends in the pharmacological treatment of OABD. We aimed to investigate prescription changes among OABD patients discharged from two public mental hospitals in Taiwan from 2006 to 2019. METHODS OABD patients discharged from the two study hospitals, from 1 January 2006 to 31 December 2019 (n = 1072), entered the analysis. Prescribed drugs at discharge, including mood stabilisers (i.e., lithium, valproate, carbamazepine, and lamotrigine), antipsychotics (i.e., second- and first-generation antipsychotics (SGAs and FGAs)), and antidepressants, were investigated. Complex polypharmacy was defined as the use of three or more agents among the prescribed drugs. Temporal trends of each prescribing pattern were analyzed using the Cochran-Armitage Trend test. RESULTS The most commonly prescribed drugs were SGAs (72.0%), followed by valproate (48.4%) and antidepressants (21.7%). The prescription rates of SGAs, antidepressants, antidepressants without mood stabilisers, and complex polypharmacy significantly increased over time, whereas the prescription rates of mood stabilisers, lithium, FGAs, and antidepressants plus mood stabilisers significantly decreased. CONCLUSIONS Prescribing patterns changed remarkably for OABD patients over a 14-year period. The decreased use of lithium and increased use of antidepressants did not reflect bipolar treatment guidelines. Future research should examine whether such prescribing patterns are associated with adverse clinical outcomes.
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Affiliation(s)
- Ching-Hua Lin
- Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Ching-Chi Hsu
- Mei-Der Psychiatric Hospital, Taichung, Taiwan
- Wizcare Medical Corporation Aggregate, Taichung, Taiwan
| | - Hung-Yu Chan
- Department of Geriatric Psychiatry, Taoyuan Psychiatric Centre, Taoyuan, Taiwan
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Jiahn-Jyh Chen
- Department of Geriatric Psychiatry, Taoyuan Psychiatric Centre, Taoyuan, Taiwan
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2
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Warner A, Holland C, Lobban F, Tyler E, Harvey D, Newens C, Palmier-Claus J. Physical health comorbidities in older adults with bipolar disorder: A systematic review. J Affect Disord 2023; 326:232-242. [PMID: 36709829 DOI: 10.1016/j.jad.2023.01.083] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 01/19/2023] [Accepted: 01/21/2023] [Indexed: 01/27/2023]
Abstract
OBJECTIVE To ascertain the prevalence and predictors of physical health comorbidities in older adults with bipolar disorder. METHODS The authors conducted a systematic review and narrative synthesis of peer-reviewed journal articles reporting on physical health comorbidities in older adults (aged ≥50) with a diagnosis of bipolar disorder. The Mixed Methods Appraisal Tool (MMAT) assessed study quality. RESULTS 23 papers reporting on 19 studies met the inclusion criteria. The literature on diabetes, obesity and renal disease was inconclusive. There was some tentative evidence to higher rates of cardiovascular disease and some forms of cancer in older adults with bipolar disorder in comparison to the general population, but this requires further investigation. We identified no studies looking at oral health. LIMITATIONS The quality ratings of the identified research were generally low. Very few studies included a comparison sample from the general population or controlled for key covariates in their analysis. CONCLUSION Existing literature provides tentative evidence that some physical health comorbidities are elevated in older adults with bipolar disorder. Clinicians should consider interventions that improve the physical health of this group, alongside the chronic mental health difficulties they experience.
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Affiliation(s)
- Aaron Warner
- Spectrum Centre for Mental Health Research, Division of Health Research, Lancaster, UK; Centre for Ageing Research, Division of Health Research, Lancaster, UK.
| | - Carol Holland
- Centre for Ageing Research, Division of Health Research, Lancaster, UK
| | - Fiona Lobban
- Spectrum Centre for Mental Health Research, Division of Health Research, Lancaster, UK; Lancashire & South Cumbria NHS Foundation Trust, Lancashire, UK
| | - Elizabeth Tyler
- Division of Psychology & Mental Health, University of Manchester, Manchester, UK
| | - Daisy Harvey
- Spectrum Centre for Mental Health Research, Division of Health Research, Lancaster, UK
| | - Connie Newens
- Lancashire & South Cumbria NHS Foundation Trust, Lancashire, UK
| | - Jasper Palmier-Claus
- Spectrum Centre for Mental Health Research, Division of Health Research, Lancaster, UK; Lancashire & South Cumbria NHS Foundation Trust, Lancashire, UK
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3
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Beunders AJM, Kok AAL, Kosmas PC, Beekman ATF, Sonnenberg CM, Schouws SNTM, Kupka RW, Stek ML, Dols A. Physical comorbidity in Older-Age Bipolar Disorder (OABD) compared to the general population - a 3-year longitudinal prospective cohort study. J Affect Disord 2021; 288:83-91. [PMID: 33845328 DOI: 10.1016/j.jad.2021.03.057] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 03/15/2021] [Accepted: 03/19/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND The aim of this study was to examine the accumulation of chronic physical diseases in Older-Age Bipolar Disorder (OABD) as well as in individuals from the general aging population over a 3-year period. METHODS This prospective longitudinal study compared 101 patients with OABD receiving outpatient care (DOBi cohort) with 2545 individuals from the general aging population (LASA cohort). The presence of eight major chronic diseases was asked at baseline and 3-year follow-up. Total number of diseases was the main outcome measure. Self-rated health (SRH, scale 1-5) was examined as a secondary outcome. Multilevel linear modelling of change was performed to estimate and test the observed change in both samples. RESULTS At baseline, the number of chronic diseases was lower (b= -0.47, p<0.01) and self-rated health comparable (b=0.27, p=0.13) in DOBi than in LASA. Over 3 years the number of chronic diseases increased faster in DOBi than in LASA (b=0.51 versus b=0.35, p(interaction)=0.03). When corrected for employment, depressive symptoms, waist circumference, smoking, and alcohol use, this difference was no longer significant. SRH decreased faster in DOBi than in LASA (b=-0.24 versus b=-0.02, p(interaction)=0.04). LIMITATIONS Information on chronic diseases was collected using self-report. CONCLUSIONS A faster accumulation of chronic physical diseases and a faster decline in health perception was observed in OABD than in participants from the general population. The observed differences could partly be attributed to baseline differences in psychosocial, lifestyle, and health behaviour factors. Our findings urgently call for the use of integrated care in BD.
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Affiliation(s)
- Alexandra J M Beunders
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands.
| | - Almar A L Kok
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Panagiotis C Kosmas
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Aartjan T F Beekman
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Caroline M Sonnenberg
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Sigfried N T M Schouws
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Ralph W Kupka
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Max L Stek
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Annemiek Dols
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands; GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Neuroscience Research Institute, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
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4
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Duan J, Yang R, Lu W, Zhao L, Hu S, Hu C. Comorbid Bipolar Disorder and Migraine: From Mechanisms to Treatment. Front Psychiatry 2020; 11:560138. [PMID: 33505322 PMCID: PMC7829298 DOI: 10.3389/fpsyt.2020.560138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 12/02/2020] [Indexed: 12/27/2022] Open
Abstract
Bipolar disorder (BD) is a severe psychiatric disorder characterized by recurrent episodes of manic/hypomanic or depressive symptoms and euthymic periods, with some patients suffering a gradual deterioration of illness and consequent cognitive deficits during the late stage. Migraine is a disease generally without abnormal medical examinations, neurological examinations or laboratory studies, and the diagnosis is made based on the retrospective demonstration of headache features and groupings of disease-associated symptoms. The epidemiology of comorbid BD and migraine is high and it is obligatory to find effective treatments to improve the prognosis. Recent investigations demonstrated that the close relationship between BD and migraine significantly increased the rapid cycling rates of both BD and migraine in patients. Although the detailed mechanism is complex and largely unclear in comorbid BD and migrain, genetic factors, neurotransmitters, altered signaling pathways, disturbances of inflammatory cytokines, and mitochondrial dysfunction are risk factors of BD and migraine. Particularly these two diseases share some overlapping mechanisms according to previous studies. To this end, we call for further investigations of the potential mechanisms, and more efforts are underway to improve the treatment of people with comorbid BD and migraine. In this review, we provide an overview of the potential mechanisms in patients with BD or migraine and we further discuss the treatment strategies for comorbid BD and migraine and it is obligatory to find effective treatments to improve the prognosis. This work will provide insights for us to know more about the mechanisms of comorbid BD and migraine, provides new therapeutic targets for the treatment and give clinicians some guidance for more appropriate and beneficial treatment.
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Affiliation(s)
- Jinfeng Duan
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Department of Psychiatry, School of Medicine, First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Rongmei Yang
- Department of Psychogeriatrics, Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Wenwen Lu
- Department of Traditional Chinese Medicine, School of Medicine, First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Lingfei Zhao
- Key Laboratory of Kidney Disease Prevention and Control Technology, School of Medicine, First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Shaohua Hu
- Key Laboratory of Mental Disorder's Management of Zhejiang Province, Department of Psychiatry, School of Medicine, First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Chenxia Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Medicine, First Affiliated Hospital, Zhejiang University, Hangzhou, China
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5
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Houben N, Janssen EPCJ, Hendriks MRC, van der Kellen D, van Alphen BPJ, van Meijel B. Physical health status of older adults with severe mental illness: The PHiSMI-E cohort study. Int J Ment Health Nurs 2019; 28:457-467. [PMID: 30294958 DOI: 10.1111/inm.12547] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/03/2018] [Indexed: 12/26/2022]
Abstract
The objective was to use various somatic parameters as basis for investigating the physical health of older adults with severe mental illnesses (SMI). A cross-sectional study design is performed by using baseline data from the Physical Health in SMI-elderly (PHiSMI-E) study. Data were collected using the Nursing Monitoring of Somatic Status and Lifestyle - Mental Health instrument in adults aged over 60 with SMI in a large Dutch mental health institute. Ninety-nine elderly SMI patients were included. Somatic comorbidity (84.8%), use of somatic medication (77.7%) and polypharmacy (67.7%) were prevalent. Extrapyramidal symptoms were experienced by 51% of patients, mainly in the subgroup with psychotic disorders (75.6%). Unhealthy diet was reported in 16.2%, obesity in 27.3%, and physical inactivity in 57.6%. Fatigue (67.7%) and dry mouth (66.6%) were the commonest reported physical symptoms. Mean VAS score (scale 0-10) indicating participants' self-perceived physical health was 6.7 (SD ± 1.6). After division of the total patient group into tertiles based on the VAS scores, the lowest tertile was characterized by less physical activity, unhealthier diet, more use of medication, more fatigue, somnolence, and inner agitation. In conclusion, impaired physical health status was common in these older patients with SMI. Although they had more psychiatric and somatic comorbidity than adult SMI patients described in the literature, they had a healthier lifestyle. To reduce morbidity and premature mortality in these frail patients, it is essential that healthcare providers are aware of the high prevalence of somatic comorbidity and symptoms, and of their interactions with the psychiatric disorders. This study improves our understanding of differences in vulnerability factors of older patients with SMI. The (early) detection of somatic comorbidities may improve long-term health outcomes of these patients.
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Affiliation(s)
- Noortje Houben
- Department of Old Age Psychiatry, Mondriaan, Heerlen, The Netherlands.,Department of Advanced Nursing Practice, School for Nursing, Zuyd University, Heerlen, The Netherlands
| | - Eveline P C J Janssen
- Department of Old Age Psychiatry, Mondriaan, Heerlen, The Netherlands.,Department of Psychiatry and Neuropsychology, MHeNs School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Marike R C Hendriks
- Department of Advanced Nursing Practice, School for Nursing, Zuyd University, Heerlen, The Netherlands
| | - Digna van der Kellen
- Department of Mental Health, Indigo Rijnmond, Rotterdam, The Netherlands.,uTOPiGGZ, Training and Coaching, Spijkenisse, The Netherlands
| | - Bas P J van Alphen
- Department of Old Age Psychiatry, Mondriaan, Heerlen, The Netherlands.,Department of Clinical and Lifespan Psychology, Vrije universiteit Brussel (VUB), Brussels, Belgium.,Department of Medical and Clinical Psychology, School of Social and Behavioural Sciences, Tilburg University, Tilburg, The Netherlands
| | - Berno van Meijel
- Inholland University of Applied Sciences, Research Group Mental Health Nursing, Amsterdam, The Netherlands.,Department of Psychiatry, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.,Parnassia Psychiatric Institute, The Hague, The Netherlands.,GGZ-VS, Academy for Masters in Advanced Nursing Practice, Utrecht, The Netherlands
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6
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Zhong XM, Dong M, Wang F, Zhang Q, Ungvari GS, Ng CH, Chiu HFK, Si TM, Sim K, Avasthi A, Grover S, Chong MY, Chee KY, Kanba S, Lee MS, Yang SY, Udomratn P, Kallivayalil RA, Tanra AJ, Maramis MM, Shen WW, Sartorius N, Mahendran R, Tan CH, Shinfuku N, Xiang YT. Physical comorbidities in older adults receiving antidepressants in Asia. Psychogeriatrics 2018; 18:351-356. [PMID: 29989257 DOI: 10.1111/psyg.12327] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2017] [Revised: 11/20/2017] [Accepted: 02/03/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND The present study explored the patterns of physical comorbidities and their associated demographic and clinical factors in older psychiatric patients prescribed with antidepressants in Asia. METHODS Demographic and clinical information of 955 older adults were extracted from the database of the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP-AD) project. Standardized data collection procedure was used to record demographic and clinical data. RESULTS Proportion of physical comorbidities in this cohort was 44%. Multiple logistic regression analyses showed that older age (OR = 1.7, P < 0.001), higher number of depressive symptoms (OR = 1.09, P = 0.016), being treated in psychiatric hospital (OR = 0.5, P = 0.002), living in high income countries/territories (OR = 2.4, P = 0.002), use of benzodiazepines (OR = 1.4, P = 0.013) and diagnosis of 'other psychiatric disorders' (except mood, anxiety disorders and schizophrenia) (OR = 2.7, P < 0.001) were significantly associated with physical comorbidities. CONCLUSIONS Physical comorbidities in older patients prescribed with antidepressants were common in Asia. Integrating physical care into the treatment of older psychiatric patients should be urgently considered.
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Affiliation(s)
- Xiao-Mei Zhong
- Department of Neurology, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Hui Hospital), Guangzhou, China.,Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Min Dong
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Fei Wang
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Qinge Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Gabor S Ungvari
- The University of Notre Dame Australia / Graylands Hospital, Perth, Victoria, Australia
| | - Chee H Ng
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Helen F K Chiu
- Department of Psychiatry, Chinese University of Hong Kong, Hong Kong, China
| | - Tian-Mei Si
- Peking University Institute of Mental Health (the sixth Hospital) & National Clinical Research Center for Mental Disorders & the key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Kang Sim
- Institute of Mental Health, Buangkok View, Buangkok Green Medical Park, Singapore
| | - Ajit Avasthi
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sandeep Grover
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Mian-Yoon Chong
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital-Kaohsiung Medical Center and School of Medicine, Chang Gung University, Taiwan
| | - Kok-Yoon Chee
- Department of Psychiatry & Mental Health, Tunku Abdul Rahman Institute of Neurosciences, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
| | - Min-Soo Lee
- Department of Psychiatry, College of Medicine, Korea University, Seoul, Korea
| | - Shu-Yu Yang
- Department of Pharmacy, Taipei City Hospital, Taipei, Taiwan
| | - Pichet Udomratn
- Department of Psychiatry, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Roy A Kallivayalil
- Department of Psychiatry, Pushpagiri Institute of Medical Sciences, Thiruvalla, India
| | - Andi J Tanra
- Department of Psychiatry, Hasanuddin University Faculty of Medicine, Makassar, Sulawesi Selatan, Indonesia
| | - Margarita M Maramis
- Dr. Soetomo Hospital - Faculty of Medicine, Universitas Airlangga, Surabaya, Jawa Timur, Indonesia
| | - Winston W Shen
- Departments of Psychiatry, TMU-Wan Fang Medical Center and School of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Norman Sartorius
- Association for the Improvement of Mental Health Programmes, Geneva, Switzerland
| | - Rathi Mahendran
- Departments of Psychological Medicine, National University of Singapore, Singapore
| | - Chay-Hoon Tan
- Departments of Pharmacology, National University of Singapore, Singapore
| | - Naotaka Shinfuku
- International Center for Medical Research, Kobe University School of Medicine, Kobe, Japan
| | - Yu-Tao Xiang
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China
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7
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Rej S, Quayle W, Forester BP, Dols A, Gatchel J, Chen P, Gough S, Fox R, Sajatovic M, Strejilevich SA, Eyler LT. Measurement tools for assessment of older age bipolar disorder: A systematic review of the recent global literature. Bipolar Disord 2018; 20:359-369. [PMID: 29108106 DOI: 10.1111/bdi.12566] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 08/04/2017] [Accepted: 09/15/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVES More than 50% of people with bipolar disorder will be age 60 years or older by 2030. There is a need for more data to guide assessment and treatment in older age bipolar disorder (OABD); however, interpretation of findings from small, single-site studies may not be generalizable and there are few large trials. As a step in the direction of coordinated large-scale OABD data collection, it is critical to identify which measurements are currently used and identify potential gaps in domains typically assessed. METHODS An international group of OABD experts performed a systematic literature review to identify studies examining OABD in the past 6 years. Relevant articles were assessed to categorize the types of clinical, cognitive, biomarker, and neuroimaging OABD tools routinely used in OABD studies. RESULTS A total of 53 papers were identified, with a broad range of assessments. Most studies evaluated demographic and clinical domains, with fewer studies assessing cognition. There are relatively few biomarker and neuroimaging data, and data collection methods were less comprehensively covered. CONCLUSION Assessment tools used in the recent OABD literature may help to identify both a minimum and a comprehensive dataset that should be evaluated in OABD. Our review also highlights gaps where key clinical outcomes have not been routinely assessed. Biomarker and neuroimaging assessment could be further developed and standardized. Clinical data could be combined with neuroimaging, genetic, and other biomarkers in large-scale coordinated data collection to further improve our understanding of OABD phenomenology and biology, thereby contributing to research that advances care.
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Affiliation(s)
- Soham Rej
- GeriPARTy Group, Division of Geriatric Psychiatry, Jewish General Hospital, McGill University, Montreal, Canada
| | - William Quayle
- Division of Geriatric Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Brent P Forester
- Division of Geriatric Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Annemiek Dols
- Department of Old Age Psychiatry, GGZ inGeest, EMGO Institute of Care and Health Research, VU University Medical Centre, Amsterdam, the Netherlands
| | - Jennifer Gatchel
- Division of Geriatric Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Peijun Chen
- Departments of Psychiatry& Neurology, Case Western Reserve University School of Medicine, University Hospitals Case Medical Centre, Cleveland, OH, USA.,Psychiatry Service, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA
| | - Sarah Gough
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Rebecca Fox
- GeriPARTy Group, Division of Geriatric Psychiatry, Jewish General Hospital, McGill University, Montreal, Canada
| | - Martha Sajatovic
- Departments of Psychiatry& Neurology, Case Western Reserve University School of Medicine, University Hospitals Case Medical Centre, Cleveland, OH, USA
| | - Sergio A Strejilevich
- Bipolar Disorder Program, Institute of Neurosciences, Favaloro University, Buenos Aires, Argentina
| | - 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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8
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Abstract
PURPOSE OF REVIEW Bipolar disorder (BD) medical comorbidity presents significant clinical and public health concerns with serious impact on health. The aim of this article is to present an updated narrative review of original research articles (case control, longitudinal cohort, and cross-sectional studies) and meta-analyses published in English language journals from January 2013 to May 2017 focusing on general medical comorbidity in BD, including the added risks of iatrogenic factors relevant to the treatment of BD. RECENT FINDINGS We found numerous patterns of association between BD and various medical disorders involving multiple organ systems. One pattern indicated reciprocal increase in the rate of each comorbid condition, such as an increased rate of BD in asthma or migraine, and likewise an increase in the rate of asthma or migraine in patients with BD. A second pattern was a predominantly unidirectional increase in the rate of BD in patients with certain medical disorders, such as multiple sclerosis or cerebellar diseases. A third pattern was a predominantly unidirectional increased rate of medical disorders in patients with BD. One study suggested the potential involvement of genetic mechanisms for the association between BD and migraine. Most of the studies had cross-sectional or retrospective designs, and many relied on analysis of large administrative databases inviting multiple potential biases. Our review highlights the association between BD and a variety of medical disorders. Further research is needed to elucidate the potential underlying etiopathological mechanisms that contribute to observed comorbidities. The results of this review also emphasize the need for comprehensive screening for medical disorders in BD and for adoption of an integrated model of care to address these complex comorbidities.
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Affiliation(s)
- Aktriti Sinha
- Department of Psychiatry, University of Missouri School of Medicine, Columbia, MO, 65212, USA
| | - Anam Shariq
- Division of Alcohol and Substance Abuse, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA
| | - Khaled Said
- Division of Alcohol and Substance Abuse, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA
| | - Abhinav Sharma
- Homewood Health Center, Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, ON, L8S 4L8, Canada
| | - D Jeffrey Newport
- Division of Alcohol and Substance Abuse, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA
| | - Ihsan M Salloum
- Division of Alcohol and Substance Abuse, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA.
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9
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Gould CE, O'Hara R, Goldstein MK, Beaudreau SA. Multimorbidity is associated with anxiety in older adults in the Health and Retirement Study. Int J Geriatr Psychiatry 2016; 31:1105-15. [PMID: 27441851 PMCID: PMC5312684 DOI: 10.1002/gps.4532] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Revised: 05/18/2016] [Accepted: 05/20/2016] [Indexed: 11/06/2022]
Abstract
OBJECTIVES The present study determined whether the number of medical conditions was associated with increased occurrence of anxiety and whether triads of medical conditions were associated with anxiety in a nationally representative sample of older Americans. We determined whether multimorbidity findings were unique to anxiety as compared with depressive symptoms. METHODS A sample of 4219 participants (65 years or older) completed anxiety and depression measures in the Health and Retirement Study 2006 wave. The logistic regression models' outcome was elevated anxiety (≥12 on five-item Beck Anxiety Inventory) or depressive symptoms (≥12 on eight-item Center for Epidemiological Studies Depression Scale). The predictor variable was a tally of seven self-report of doctor-diagnosed conditions: arthritis, cancer, diabetes, heart conditions, high blood pressure, lung disease, and stroke. Analyses were adjusted for age, gender, and depressive or anxiety symptoms. Associations among elevated anxiety or depressive symptoms and 35 triads of medical conditions were examined using Bonferroni corrected chi-square analyses. RESULTS Three or more medical conditions conferred a 2.30-fold increase in elevated anxiety (95% confidence interval: 1.44-4.01). Twenty triads were associated with elevated anxiety as compared with 13 associated with depressive symptoms. Six of seven medical conditions, with the exception being stroke, were present in the majority of triads. CONCLUSION Number of medical conditions and specific conditions are associated with increased occurrence of elevated anxiety. Compared with elevated depressive symptoms, anxiety is associated with greater multimorbidity. As anxiety and depression cause significant morbidity, it may be beneficial to consider these mental health symptoms when evaluating older adults with multimorbidity. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.
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Affiliation(s)
- Christine E. Gould
- VA Palo Alto Health Care System, Geriatric Research Education and Clinical Center (GRECC), Palo Alto, CA, United States,Stanford University School of Medicine, Department of Psychiatry & Behavioral Sciences, Stanford, CA, United States,Corresponding Author: Christine E. Gould, PhD, Veterans Affairs Palo Alto Health Care System, GRECC (182B), 3801 Miranda Ave., Palo Alto, CA 94304.
| | - Ruth O'Hara
- Stanford University School of Medicine, Department of Psychiatry & Behavioral Sciences, Stanford, CA, United States,VA Palo Alto Health Care System, Mental Illness Research Education and Clinical Center (MIRECC), Palo Alto, CA, United States,School of Psychology, University of Queensland, Brisbane, Australia
| | - Mary K. Goldstein
- VA Palo Alto Health Care System, Geriatric Research Education and Clinical Center (GRECC), Palo Alto, CA, United States,Stanford University, Center for Primary Care and Outcomes Research (PCOR), Stanford, CA, United States
| | - Sherry A. Beaudreau
- Stanford University School of Medicine, Department of Psychiatry & Behavioral Sciences, Stanford, CA, United States,VA Palo Alto Health Care System, Mental Illness Research Education and Clinical Center (MIRECC), Palo Alto, CA, United States,School of Psychology, University of Queensland, Brisbane, Australia
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Decreased Brain-Derived Neurotrophic Factor in Older Adults with Bipolar Disorder. Am J Geriatr Psychiatry 2016; 24:596-601. [PMID: 27067066 DOI: 10.1016/j.jagp.2016.02.052] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Revised: 02/12/2016] [Accepted: 02/22/2016] [Indexed: 01/18/2023]
Abstract
OBJECTIVES Decreased levels of brain derived neurotrophic factor (BDNF) have been found in adult patients with bipolar disorder (BD) compared with a comparison group, yet there are no data specifically examining this in geriatric patients. The objective of this study was to examine whether euthymic late-life BD patients have lower BDNF levels than healthy comparators. DESIGN Cross-sectional study. SETTING Clinics at the University of Pittsburgh and the Centre for Addiction and Mental Health (Toronto). PARTICIPANTS Older patients with BD (age ≥50 years, N = 118) and similarly aged healthy comparators (N = 76). There were both BD type I (N = 91) and type II (N = 27) patients. MEASUREMENTS Serum BDNF levels were assessed in BD patients and healthy comparators. RESULTS We found lower levels of BDNF in patients with BD than in healthy comparators (9.0 ± 6.2 versus 12.3 ± 8.9 pg/µg, t(192) = -3.01, p = 0.002), which remained even after controlling for age, sex, lithium use, and site (F(1,176) = 4.32, p = 0.039). This decrease was found specifically in patients with BD type I (8.0 ± 5.5 versus 12.3 ± 8.9 pg/µg, t(165) = 3.7, Bonferroni p < 0.001), but not type II (12.0 ± 7.5 versus 12.3 ± 8.9 pg/µg, t(101) = 0.14, Bonferroni p = 1.0). CONCLUSIONS Older patients with BD have lower serum levels of BDNF compared with similarly aged comparators. These effects appear to be specific to patients with BD type I. Future studies are needed to investigate the impact of reduced BDNF levels on cognition, mood, and other aspects of BD throughout the life course.
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