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Marawi T, Zhukovsky P, Brooks H, Bowie CR, Butters MA, Fischer CE, Flint AJ, Herrmann N, Lanctôt KL, Mah L, Pollock BG, Rajji TK, Voineskos AN, Mulsant BH. Heterogeneity of Cognition in Older Adults with Remitted Major Depressive Disorder: A Latent Profile Analysis. Am J Geriatr Psychiatry 2024; 32:867-878. [PMID: 38403532 DOI: 10.1016/j.jagp.2024.01.225] [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: 09/12/2023] [Revised: 01/26/2024] [Accepted: 01/27/2024] [Indexed: 02/27/2024]
Abstract
OBJECTIVES To identify data-driven cognitive profiles in older adults with remitted major depressive disorder (rMDD) with or without mild cognitive impairment (MCI) and examine how the profiles differ regarding demographic, clinical, and neuroimaging measures. DESIGN Secondary cross-sectional analysis using latent profile analysis. SETTING Multisite clinical trial in Toronto, Canada. PARTICIPANTS One hundred seventy-eight participants who met DSM-5 criteria for rMDD without MCI (rMDD-MCI; n = 60) or with MCI (rMDD + MCI; n = 118). MEASUREMENTS Demographic, clinical, neuroimaging measures, and domain scores from a neuropsychological battery assessing verbal memory, visuospatial memory, processing speed, working memory, language, and executive function. RESULTS We identified three latent profiles: Profile 1 (poor cognition; n = 75, 42.1%), Profile 2 (intermediate cognition; n = 75, 42.1%), and Profile 3 (normal cognition; n = 28, 15.7%). Compared to participants with Profile 3, those with Profile 1 or 2 were older, had lower education, experienced a greater burden of medical comorbidities, and were more likely to have MCI. The profiles did not differ on the severity of residual symptoms, age of onset of rMDD, number of depressive episodes, psychotropic medication, cerebrovascular risk, ApoE4 carrier status, or family history of depression, dementia, or Alzheimer's disease. The profiles differed in cortical thickness of 15 regions, with the most prominent effects for left precentral and pars opercularis, and right inferior parietal and supramarginal. CONCLUSION Older patients with rMDD can be grouped cross-sectionally based on data-driven cognitive profiles that differ from the absence or presence of a diagnosis of MCI. Future research should determine the differential risk for dementia of these data-driven subgroups.
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Affiliation(s)
- Tulip Marawi
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute (TM, PZ, HB, CRB, BGP, TKR, ANV, BHM), Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Peter Zhukovsky
- Campbell Family Mental Health Research Institute (TM, PZ, HB, CRB, BGP, TKR, ANV, BHM), Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Heather Brooks
- Campbell Family Mental Health Research Institute (TM, PZ, HB, CRB, BGP, TKR, ANV, BHM), Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Christopher R Bowie
- Campbell Family Mental Health Research Institute (TM, PZ, HB, CRB, BGP, TKR, ANV, BHM), Centre for Addiction and Mental Health, Toronto, ON, Canada; Departments of Psychology and Psychiatry (CRB), Queen's University, Kingston, ON, Canada
| | - Meryl A Butters
- Department of Psychiatry (MAB), University of Pittsburgh, Pittsburgh, PA
| | - Corinne E Fischer
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Keenan Research Centre for Biomedical Science (CEF), St. Michaels Hospital, Toronto, ON, Canada
| | - Alastair J Flint
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Centre for Mental Health (AJF), University Health Network, Toronto, ON, Canada
| | - Nathan Herrmann
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Department of Psychiatry (NH, KLL), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada; Department of Pharmacology and Toxicology (NH, KLL), Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Krista L Lanctôt
- Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Department of Psychiatry (NH, KLL), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada; Department of Pharmacology and Toxicology (NH, KLL), Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Linda Mah
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Department of Psychiatry (LM), Baycrest Health Services, Rotman Research Institute, University of Toronto, Toronto, ON, Canada
| | - Bruce G Pollock
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute (TM, PZ, HB, CRB, BGP, TKR, ANV, BHM), Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada
| | - Tarek K Rajji
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute (TM, PZ, HB, CRB, BGP, TKR, ANV, BHM), Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Toronto Dementia Research Alliance (TKR, BHM), University of Toronto, Toronto, ON, Canada
| | - Aristotle N Voineskos
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute (TM, PZ, HB, CRB, BGP, TKR, ANV, BHM), Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada
| | - Benoit H Mulsant
- Institute of Medical Science (TM, CEF, AJF, NH, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute (TM, PZ, HB, CRB, BGP, TKR, ANV, BHM), Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine (CEF, AJF, NH, KLL, LM, BGP, TKR, ANV, BHM), University of Toronto, Toronto, ON, Canada; Toronto Dementia Research Alliance (TKR, BHM), University of Toronto, Toronto, ON, Canada.
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Lugtenburg A, Zuidersma M, Rius Ottenheim N, Rhebergen D, Oude Voshaar RC. Age-related subtypes of late life depression and mortality: A prospective clinical cohort study. Int J Geriatr Psychiatry 2024; 39:e6064. [PMID: 38342779 DOI: 10.1002/gps.6064] [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: 08/21/2023] [Accepted: 01/27/2024] [Indexed: 02/13/2024]
Abstract
OBJECTIVES Late Life Depression (LLD) is associated with increased mortality rates, but it remains unclear which depressed patients are at increased risk. This study examined the mortality risk of previously identified subgroups of depressed older patients based on age-related clinical features (the presence of physical and cognitive frailty). METHODS A six-year follow-up of a clinical cohort study including 375 depressed older patients and 132 non-depressed persons (NESDO). Depressed patients were diagnosed with the Composite International Diagnostic Interview (CIDI) according to DSM-IV criteria and classified by latent profile analysis on depressive symptom severity, cognitive domains and physical frailty. We estimated the hazard rate of mortality for the four depressed subgroups compared to non-depressed persons by applying Cox-regression analyses. Models were adjusted for age, sex and education as confounders and for explanatory variables per pathway in separate models: somatic burden, lifestyle characteristics, vascular burden or inflammation markers. RESULTS A total of 61/375 (16.3%) depressed patients and 8/132 (6.1%) non-depressed persons died during the 6-year follow-up. Two of the four subgroups (n = 186/375 (50%) of the depressed sample) had a higher hazard rate (HR) for mortality compared to non-depressed participants, that is, frail-depressed patients (HR = 5.25, [95%-CI: 2.13-13.0]) and pure mild depressed patients (HR = 3.32 [95%-CI: 1.46-7.58]) adjusted for confounders. Adding possible underlying pathways did not explain these associations. CONCLUSIONS Age-related features (the presence of physical and cognitive frailty) contribute to the increased mortality risk in late-life depression. Future studies in depressed older patients should study the additional value of a clinical geriatric assessment and integrated treatment aimed to at reduce frailty and ameliorate their mortality risk.
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Affiliation(s)
- Astrid Lugtenburg
- Department Old Age Psychiatry, GGZ Drenthe Mental Health Institute, Assen, The Netherlands
| | - Marij Zuidersma
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands
| | | | - Didi Rhebergen
- Department of Psychiatry, Amsterdam UMC-Location VU University Medical Center & GGZ Centraal Specialized Mental Health Care, Amersfoort, The Netherlands
| | - Richard C Oude Voshaar
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Groningen, Netherlands
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Marawi T, Zhukovsky P, Rashidi-Ranjbar N, Bowie CR, Brooks H, Fischer CE, Flint AJ, Herrmann N, Mah L, Pollock BG, Rajji TK, Tartaglia MC, Voineskos AN, Mulsant BH. Brain-Cognition Associations in Older Patients With Remitted Major Depressive Disorder or Mild Cognitive Impairment: A Multivariate Analysis of Gray and White Matter Integrity. Biol Psychiatry 2023; 94:913-923. [PMID: 37271418 DOI: 10.1016/j.biopsych.2023.05.018] [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: 02/02/2023] [Revised: 05/10/2023] [Accepted: 05/24/2023] [Indexed: 06/06/2023]
Abstract
BACKGROUND Almost half of older patients with major depressive disorder (MDD) present with cognitive impairment, and one-third meet diagnostic criteria for mild cognitive impairment (MCI). However, mechanisms linking MDD and MCI remain unclear. We investigated multivariate associations between brain structural alterations and cognition in 3 groups of older patients at risk for dementia, remitted MDD (rMDD), MCI, and rMDD+MCI, as well as cognitively healthy nondepressed control participants. METHODS We analyzed magnetic resonance imaging data and cognitive domain scores in participants from the PACt-MD (Prevention of Alzheimer's Disease With Cognitive Remediation Plus Transcranial Direct Current Stimulation in Mild Cognitive Impairment and Depression) study. Following quality control, we measured cortical thickness and subcortical volumes of selected regions from 283 T1-weighted scans and fractional anisotropy of white matter tracts from 226 diffusion-weighted scans. We assessed brain-cognition associations using partial least squares regressions in the whole sample and in each subgroup. RESULTS In the entire sample, atrophy in the medial temporal lobe and subregions of the motor and prefrontal cortex was associated with deficits in verbal and visuospatial memory, language skills, and, to a lesser extent, processing speed (p < .0001; multivariate r = 0.30, 0.34, 0.26, and 0.18, respectively). Widespread reduced white matter integrity was associated with deficits in executive functioning, working memory, and processing speed (p = .008; multivariate r = 0.21, 0.26, 0.35, respectively). Overall, associations remained significant in the MCI and rMDD+MCI groups, but not the rMDD or healthy control groups. CONCLUSIONS We confirm findings of brain-cognition associations previously reported in MCI and extend them to rMDD+MCI, but similar associations in rMDD are not supported. Early-onset and treated MDD might not contribute to structural alterations associated with cognitive impairment.
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Affiliation(s)
- Tulip Marawi
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Peter Zhukovsky
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Neda Rashidi-Ranjbar
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Christopher R Bowie
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychology, Queen's University, Kingston, Ontario, Canada; Department of Psychiatry, Queen's University, Kingston, Ontario, Canada
| | - Heather Brooks
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Corinne E Fischer
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Alastair J Flint
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Centre for Mental Health, University Health Network, Toronto, Ontario, Canada
| | - Nathan Herrmann
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Sunnybrook Health Sciences Centre, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Linda Mah
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Baycrest Health Services, Rotman Research Institute, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Bruce G Pollock
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Tarek K Rajji
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto Dementia Research Alliance, University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Aristotle N Voineskos
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Benoit H Mulsant
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto Dementia Research Alliance, University of Toronto, Toronto, Ontario, Canada.
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Panza F, Solfrizzi V, Sardone R, Dibello V, Castellana F, Zupo R, Stallone R, Lampignano L, Bortone I, Mollica A, Berardino G, Ruan Q, Altamura M, Bellomo A, Daniele A, Lozupone M. Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders. J Alzheimers Dis 2023:JAD230312. [PMID: 37355907 DOI: 10.3233/jad-230312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
In older age, frailty is a detrimental transitional status of the aging process featuring an increased susceptibility to stressors defined by a clinical reduction of homoeostatic reserves. Multidimensional frailty phenotypes have been associated with all-cause dementia, mild cognitive impairment (MCI), Alzheimer's disease (AD), AD neuropathology, vascular dementia, and non-AD dementias. In the present article, we reviewed current evidence on the existing links among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders, also examining common pathways and mechanisms underlying these links. The depressive frailty phenotype suggested by the construct of late-life depression (LLD) plus physical frailty is poorly operationalized. The biopsychosocial frailty phenotype, with its coexistent biological/physical and psychosocial dimensions, defines a biological aging status and includes motivational, emotional, and socioeconomic domains. Shared biological pathways/substrates among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders are hypothesized to be inflammatory and cardiometabolic processes, together with multimorbidity, loneliness, mitochondrial dysfunction, dopaminergic neurotransmission, specific personality traits, lack of subjective/objective social support, and neuroendocrine dysregulation. The cognitive frailty phenotype, combining frailty and cognitive impairment, may be a risk factor for LLD and vice versa, and a construct of depressive frailty linking physical frailty and LLD may be a good dementia predictor. Frailty assessment may enable clinicians to better target the pharmacological and psychological treatment of LLD. Given the epidemiological links of biopsychosocial frailty with dementia and MCI, multidomain interventions might contribute to delay the onset of late-life cognitive disorders and other adverse health-related outcomes, such as institutionalization, more frequent hospitalization, disability, and mortality.
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Affiliation(s)
- Francesco Panza
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Vincenzo Solfrizzi
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Rodolfo Sardone
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Vittorio Dibello
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Fabio Castellana
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Roberta Zupo
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Roberta Stallone
- Neuroscience and Education, Human Resources Excellence in Research, University of Foggia, Foggia, Italy
| | - Luisa Lampignano
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Ilaria Bortone
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Anita Mollica
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Giuseppe Berardino
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Qingwei Ruan
- Laboratory of Aging, Anti-aging & Cognitive Performance, Shanghai Institute of Geriatrics and Gerontology, Huadong Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Clinical Geriatrics, Huadong Hospital, Shanghai Medical 14 College, Fudan University, Shanghai, China
| | - Mario Altamura
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Antonello Bellomo
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Antonio Daniele
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Madia Lozupone
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari Aldo Moro, Bari, Italy
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Solomonov N, Lee J, Banerjee S, Chen SZ, Sirey JA, Gunning FM, Liston C, Raue PJ, Areán PA, Alexopoulos GS. Course of Subtypes of Late-Life Depression Identified by Bipartite Network Analysis During Psychosocial Interventions. JAMA Psychiatry 2023; 80:621-629. [PMID: 37133833 PMCID: PMC10157512 DOI: 10.1001/jamapsychiatry.2023.0815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/19/2023] [Indexed: 05/04/2023]
Abstract
Importance Approximately half of older adults with depression remain symptomatic at treatment end. Identifying discrete clinical profiles associated with treatment outcomes may guide development of personalized psychosocial interventions. Objective To identify clinical subtypes of late-life depression and examine their depression trajectory during psychosocial interventions in older adults with depression. Design, Setting, and Participants This prognostic study included older adults aged 60 years or older who had major depression and participated in 1 of 4 randomized clinical trials of psychosocial interventions for late-life depression. Participants were recruited from the community and outpatient services of Weill Cornell Medicine and the University of California, San Francisco, between March 2002 and April 2013. Data were analyzed from February 2019 to February 2023. Interventions Participants received 8 to 14 sessions of (1) personalized intervention for patients with major depression and chronic obstructive pulmonary disease, (2) problem-solving therapy, (3) supportive therapy, or (4) active comparison conditions (treatment as usual or case management). Main Outcomes and Measures The main outcome was the trajectory of depression severity, assessed using the Hamilton Depression Rating Scale (HAM-D). A data-driven, unsupervised, hierarchical clustering of HAM-D items at baseline was conducted to detect clusters of depressive symptoms. A bipartite network analysis was used to identify clinical subtypes at baseline, accounting for both between- and within-patient variability across domains of psychopathology, social support, cognitive impairment, and disability. The trajectories of depression severity in the identified subtypes were compared using mixed-effects models, and time to remission (HAM-D score ≤10) was compared using survival analysis. Results The bipartite network analysis, which included 535 older adults with major depression (mean [SD] age, 72.7 [8.7] years; 70.7% female), identified 3 clinical subtypes: (1) individuals with severe depression and a large social network; (2) older, educated individuals experiencing strong social support and social interactions; and (3) individuals with disability. There was a significant difference in depression trajectories (F2,2976.9 = 9.4; P < .001) and remission rate (log-rank χ22 = 18.2; P < .001) across clinical subtypes. Subtype 2 had the steepest depression trajectory and highest likelihood of remission regardless of the intervention, while subtype 1 had the poorest depression trajectory. Conclusions and Relevance In this prognostic study, bipartite network clustering identified 3 subtypes of late-life depression. Knowledge of patients' clinical characteristics may inform treatment selection. Identification of discrete subtypes of late-life depression may stimulate the development of novel, streamlined interventions targeting the clinical vulnerabilities of each subtype.
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Affiliation(s)
- Nili Solomonov
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Jihui Lee
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Samprit Banerjee
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | - Serena Z. Chen
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Jo Anne Sirey
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Faith M. Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Connor Liston
- Department of Psychiatry, Weill Cornell Medicine, New York, New York
| | - Patrick J. Raue
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle
| | - Patricia A. Areán
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle
| | - George S. Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, New York
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Depping MS, Köhler-Ipek L, Ullrich P, Hauer K, Wolf RC. [Late-life depression and frailty-Epidemiological, clinical and neurobiological associations]. DER NERVENARZT 2023; 94:234-239. [PMID: 36799956 PMCID: PMC9992046 DOI: 10.1007/s00115-023-01444-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/16/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND Depression is the most common mental disorder in older adults and is influenced by age-related processes. Frailty is a well-established clinical expression of ageing that implies a state of increased vulnerability to stressor events as well as increased risks of disability, hospitalization and death. Neurobiological findings will disentangle the comorbidity of frailty and depression and may inform future management of depression in old age. OBJECTIVE This narrative review provides an overview of the comorbidity of late-life depression and frailty, with a focus on neuroscientific findings that are organized within the research domain criteria (RDoC) framework. RESULTS More than one third of old people with depression are affected by frailty, which results in more chronic depression and in poorer efficacy and tolerability of antidepressant medication. Depression and frailty share motivational and psychomotor characteristics, particularly apathy, decreased physical activity and fatigue. In patients with frailty, altered activity of the supplementary motor cortex is associated with motor performance deficits. Patients with late-life depression and apathy are characterized by abnormal structure and altered functional connectivity of the reward network and the salience network, along with altered functional connectivity of these networks with premotor brain areas. CONCLUSION Identifying frailty in older adults with depression is relevant for prognostic assessment and treatment. A better understanding of the neuronal mechanisms of comorbidity will provide potential targets for future personalized therapeutic interventions.
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Affiliation(s)
- M S Depping
- Klinik für Allgemeine Psychiatrie, Zentrum für Psychosoziale Medizin, Universitätsklinikum Heidelberg, Voßstr. 4, 69115, Heidelberg, Deutschland.
| | - L Köhler-Ipek
- Klinik für Allgemeine Psychiatrie, Zentrum für Psychosoziale Medizin, Universitätsklinikum Heidelberg, Voßstr. 4, 69115, Heidelberg, Deutschland
| | - P Ullrich
- Geriatrisches Zentrum an der Medizinischen Fakultät der Universität Heidelberg, Agaplesion Bethanien Krankenhaus Heidelberg, Rohrbacher Str. 149, 69126, Heidelberg, Deutschland
| | - K Hauer
- Geriatrisches Zentrum an der Medizinischen Fakultät der Universität Heidelberg, Agaplesion Bethanien Krankenhaus Heidelberg, Rohrbacher Str. 149, 69126, Heidelberg, Deutschland
| | - R C Wolf
- Klinik für Allgemeine Psychiatrie, Zentrum für Psychosoziale Medizin, Universitätsklinikum Heidelberg, Voßstr. 4, 69115, Heidelberg, Deutschland
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Toth D, Reglodi D, Schwieters L, Tamas A. Role of endocrine PACAP in age-related diseases. Front Endocrinol (Lausanne) 2023; 14:1118927. [PMID: 36967746 PMCID: PMC10033946 DOI: 10.3389/fendo.2023.1118927] [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] [Received: 12/08/2022] [Accepted: 02/24/2023] [Indexed: 03/11/2023] Open
Abstract
Pituitary adenylate cyclase activating polypeptide (PACAP) is a conserved neuropeptide, which confers diverse anti-aging endocrine and paracrine/autocrine effects, including anti-apoptotic, anti-inflammatory and antioxidant action. The results of the in vivo and in vitro experiments show that increasing emphasis is being placed on the diagnostic/prognostic biomarker potential of this neuropeptide in a wide array of age-related diseases. After the initial findings regarding the presence and alteration of PACAP in different body fluids in physiological processes, an increasing number of studies have focused on the changes of its levels in various pathological conditions associated with advanced aging. Until 2016 - when the results of previous human studies were reviewed - a vast majority of the studies had dealt with age-related neurological diseases, like cerebrovascular and neurodegenerative diseases, multiple sclerosis, as well as some other common diseases in elderly such as migraine, traumatic brain injury and post-traumatic stress disorder, chronic hepatitis and nephrotic syndrome. The aim of this review is to summarize the old and the new results and highlight those 'classical' and emerging clinical fields in which PACAP may become subject to further investigation as a diagnostic and/or prognostic biomarker in age-related diseases.
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Affiliation(s)
- Denes Toth
- Department of Forensic Medicine, University of Pécs Medical School, Pécs, Hungary
| | - Dora Reglodi
- Department of Anatomy, ELKH-PTE PACAP Research Team, Centre for Neuroscience, University of Pécs Medical School, Pécs, Hungary
| | - Lili Schwieters
- Department of Anatomy, ELKH-PTE PACAP Research Team, Centre for Neuroscience, University of Pécs Medical School, Pécs, Hungary
| | - Andrea Tamas
- Department of Anatomy, ELKH-PTE PACAP Research Team, Centre for Neuroscience, University of Pécs Medical School, Pécs, Hungary
- *Correspondence: Andrea Tamas,
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Delli Zotti GB, Citterio L, Farinone S, Concas MP, Brioni E, Zagato L, Messaggio E, Faienza S, Simonini M, Napoli A, Di Mattei V, Rovere-Querini P, Sarno L, Clementi E, Manfredi AA, Lanzani C, Manunta P. Association between Perceived Health-Related Quality of Life and Depression with Frailty in the FRASNET Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16776. [PMID: 36554656 PMCID: PMC9779617 DOI: 10.3390/ijerph192416776] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
Frailty is a major challenge facing the aging world. The phenotype of the frail subject is still far from being satisfactorily defined. We report data on mood, cognition, and quality of life (QoL) in relation to anamnestic factors, health, and socio-economic status in the FRASNET geriatric population (1204 subjects in stable health conditions), which is an observational cohort study that includes fairly balanced groups of Italian frail (421, 35%), pre-frail (449, 37.3%) and robust (334, 27.7%) subjects. A conditional inference tree analysis revealed a substantial influence of psychological variables on frailty. The physical indicator of QoL (Short Form Survey-36-Physical Component Summary, SF-36-PCS) was the predominant variable in the full model (threshold at 39.9, p < 0.001): higher frailty was found in subjects with a caregiver and lower SF-36-PCS. Frailty was also associated with the mental indicator of QoL (Short Form Survey-36-Mental Component Summary, SF-36-MCS), depression (Geriatric Depression Scale, GDS-15), leisure activities, and level of education. In support of the prominent role of inflammation in aging and mental illness, the SF-36-PCS score was correlated with the blood concentration of C-X-C motif chemokine ligand 10 (CXCL10) (r Pearson -0.355, p = 0.015), a critical signal in cell senescence and inflammaging, while the rs7567647 variant in FN1 gene encoding a glycoprotein in the extracellular matrix was significantly associated with frailty in a multivariable model (p = 0.0006). The perception of health-related QoL and subclinical depression contribute to frailty. Their assessment could improve the identification of older patients at increased risk of adverse outcomes.
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Affiliation(s)
- Giulia B. Delli Zotti
- Clinical and Health Psychology Unit, IRCCS San Raffaele Scientific Institute, School of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Lorena Citterio
- Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, School of Nephrology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Sara Farinone
- Clinical and Health Psychology Unit, IRCCS San Raffaele Scientific Institute, School of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, 34137 Trieste, Italy
| | - Elena Brioni
- Nephrology Operative Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Laura Zagato
- Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, School of Nephrology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Elisabetta Messaggio
- Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, School of Nephrology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Sipontina Faienza
- Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, School of Nephrology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Marco Simonini
- Nephrology Operative Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Alessandra Napoli
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, “Luigi Sacco” University Hospital, Università di Milano, 20122 Milan, Italy
| | - Valentina Di Mattei
- Clinical and Health Psychology Unit, IRCCS San Raffaele Scientific Institute, School of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Patrizia Rovere-Querini
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Lucio Sarno
- Clinical and Health Psychology Unit, IRCCS San Raffaele Scientific Institute, School of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Emilio Clementi
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, “Luigi Sacco” University Hospital, Università di Milano, 20122 Milan, Italy
- Scientific Institute, IRCCS Eugenio Medea, 23842 Bosisio Parini, Italy
| | - Angelo A. Manfredi
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Chiara Lanzani
- Nephrology Operative Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Paolo Manunta
- Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, School of Nephrology, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Nephrology Operative Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
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Lee Y, Kim E, Yun J, Chuck KW. The influence of multiple frailty profiles on institutionalization and all-cause mortality in community-living older adults. J Cachexia Sarcopenia Muscle 2022; 13:2322-2330. [PMID: 35818998 PMCID: PMC9530576 DOI: 10.1002/jcsm.13033] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 04/11/2022] [Accepted: 05/12/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Frailty in older adults is associated with adverse geriatric outcomes. Physical frailty is often accompanied by problems in the cognitive, psychological, and social domains. This study investigated the ability of physical frailty combined with other health domains to predict institutionalization and mortality. METHODS A national sample of 9171 Koreans aged 65 years or older were surveyed at baseline in 2008 and 3 year follow-up. Those who were prefrail or frail according to the Fried criteria were conceived to have physical frailty. Psychological frailty, cognitive frailty, and social frailty were defined as having depressive symptoms, cognitive impairment, and social vulnerabilities, respectively, in addition to physical frailty. Using Cox proportional hazards and competing-risks regression, the risk of mortality and institutionalization by the number and profiles of different frailty domains was analysed. RESULTS At baseline, the 9171 participants were aged 73.1 (±6.8) years on average (median: 72, range: 65 to 103), and 59.2% were women. Multidomain frailty was highly prevalent (49.3%), with 6.1% concurrently displaying frailty in all four domains (mixed frailty). The risk of negative health outcomes increased with frailty in a higher number of domains with a subhazard ratio (SHR) of 3.48 (95% confidence interval [CI]: 1.83, 6.62; P < 0.001) for institutionalization and a hazard ratio (HR) of 3.95 (95% CI: 2.62, 5.93; P < 0.001) for mortality among those presenting mixed frailty. Psychological frailty (depressive symptoms combined with physical frailty) was strongly predictive of institutionalization (SHR = 2.85; 95% CI: 1.45, 5.59; P = 0.002) and mortality (HR = 2.47; 95% CI: 1.61, 3.78; P < 0.001). When combined with physical frailty and either depressive symptoms or social vulnerabilities, cognitive impairment also exhibited a significantly elevated risk of negative events. Physical frailty alone was not a strong predictor of adverse events, especially for mortality (HR = 1.13; 95% CI: 0.77, 1.67; P = 0.53). CONCLUSIONS Co-occurrence of physical frailty with other domains is common in late life. The presence of frailty in multiple domains raises the risk of adverse outcomes, with the effects varying by multidimensional profiles.
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Affiliation(s)
- Yunhwan Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.,Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea
| | - Eunsaem Kim
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.,Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea
| | - Jihye Yun
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.,Institute on Aging, Ajou University Medical Center, Suwon, Republic of Korea
| | - Kumban Walter Chuck
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.,Department of Medical Sciences, Graduate School, Ajou University, Suwon, Republic of Korea
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Zhou S, Wang Q, Zhang J, Wang Q, Hou F, Han X, Hu S, Shen G, Zhang Y. Depressive Symptoms and Cognitive Decline Among Chinese Rural Elderly Individuals: A Longitudinal Study With 2-Year Follow-Up. Front Public Health 2022; 10:939150. [PMID: 35910927 PMCID: PMC9326072 DOI: 10.3389/fpubh.2022.939150] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundDepressive symptoms and mild cognitive impairment (MCI) are highly prevalent in rural China. The study aimed to investigate the longitudinal associations between changes in depressive symptoms and cognitive decline and MCI incidence among Chinese rural elderly individuals.MethodsA 2-year follow-up study was conducted among 1,477 participants from the Anhui Healthy Longevity Survey (AHLS). Depressive symptoms were assessed by the 9-item Patient Health Questionnaire (PHQ-9), and cognitive status was evaluated by the Mini Mental State Examination (MMSE). Multivariable linear regression and logistic regression were employed.ResultsEvery 1-unit PHQ-9 score increase was significantly associated with more cognitive decline (β = 0.157, 95% CI: 0.092, 0.221, p < 0.001) and a higher risk of MCI incidence (OR = 1.063, 95% CI: 1.025, 1.103, p = 0.001). The participants who experienced worsening of depression symptoms had a larger decline in the 2-year MMSE score (β = 0.650, 95% CI: 0.039, 1.261, p = 0.037) and elevated risks of incident MCI (OR = 1.573, 95% CI: 1.113, 2.223, p = 0.010).LimitationsScreening tools rather than standard diagnostic procedures were used in the study. Moreover, the long-term associations still need further exploration since the follow-up time was short.ConclusionsIncreased depressive symptoms were associated with more cognitive decline and higher risks of incident MCI among Chinese rural residents.
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Affiliation(s)
- Shuai Zhou
- Department of Health Service Management, School of Health Service Management, Anhui Medical University, Hefei, China
| | - Qiong Wang
- Department of Health Service Management, School of Health Service Management, Anhui Medical University, Hefei, China
| | - Jingya Zhang
- Department of Health Service Management, School of Health Service Management, Anhui Medical University, Hefei, China
| | - Qing Wang
- Department of Health Service Management, School of Health Service Management, Anhui Medical University, Hefei, China
| | - Fangfang Hou
- Department of Health Service Management, School of Health Service Management, Anhui Medical University, Hefei, China
| | - Xiao Han
- Department of Health Service Management, School of Health Service Management, Anhui Medical University, Hefei, China
| | - Shilian Hu
- Department of Geriatrics, The First Affiliated Hospital of University of Science and Technology of China, Gerontology Institute of Anhui, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China
- *Correspondence: Shilian Hu
| | - Guodong Shen
- Department of Geriatrics, The First Affiliated Hospital of University of Science and Technology of China, Gerontology Institute of Anhui, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China
- Guodong Shen
| | - Yan Zhang
- Department of Health Service Management, School of Health Service Management, Anhui Medical University, Hefei, China
- Yan Zhang
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Scheffers-Barnhoorn MN, Sharma-Virk M, van Balen R, van Eijk M, Achterberg WP. Coping strategies of older adults with a recent hip fracture within inpatient geriatric rehabilitation. Aging Ment Health 2022; 26:1436-1443. [PMID: 33663271 DOI: 10.1080/13607863.2021.1891199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVES Coping strategies may play an important role as facilitator or barrier for functional recovery after hip fracture. This study explored 1] active and passive coping strategies in hip fracture patients within inpatient geriatric rehabilitation (GR) 2] the association of these coping strategies with depression, anxiety, pain and health-related quality of life (HRQoL). METHOD Secondary data analysis (FIT-HIP trial). Participants were patients with hip fracture, aged 65+ years, admitted to post-acute GR units. Coping was assessed using the 'Active Tackling' and 'Passive Reacting' subscale of Utrecht Coping List (UCL). Depression, anxiety, pain and HRQoL was assessed using GDS-8, HADS-A, NPRS and EQ5D-VAS. Based on UCL norm tables - for both subscales - we dichotomized the group into (extremely) high use of this coping strategy i.e. 'predominantly active coping' (PAC), and 'predominantly passive coping' (PPC); versus their corresponding 'residual groups', i.e. the remaining participants. RESULTS 72 participants were included. Participants mostly used active coping (PAC: 33.3%), however those engaging in passive coping (23.6%) had significantly more depression and anxiety symptoms (GDS-8 ≥ 3: 31.1% respectively 9.1%, p = 0.040; HADS-A ≥ 7: 58.8% vs 10.9%; p = 0.00). CONCLUSION Active tackling and passive reacting coping strategies are used by up to one-third of patients with recent hip fracture. Passive coping was associated with more symptoms of depression and anxiety, which in turn may influence rehabilitation negatively. Screening of (passive) coping strategies could contribute to prompt identification of hip fracture patients at risk for negative health outcomes.
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Affiliation(s)
| | - Manju Sharma-Virk
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands
| | - Romke van Balen
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands
| | - Monica van Eijk
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands
| | - Wilco P Achterberg
- Department of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands
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12
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Wen J, Fu CHY, Tosun D, Veturi Y, Yang Z, Abdulkadir A, Mamourian E, Srinivasan D, Skampardoni I, Singh A, Nawani H, Bao J, Erus G, Shou H, Habes M, Doshi J, Varol E, Mackin RS, Sotiras A, Fan Y, Saykin AJ, Sheline YI, Shen L, Ritchie MD, Wolk DA, Albert M, Resnick SM, Davatzikos C. Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression. JAMA Psychiatry 2022; 79:464-474. [PMID: 35262657 PMCID: PMC8908227 DOI: 10.1001/jamapsychiatry.2022.0020] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/19/2021] [Indexed: 12/14/2022]
Abstract
Importance Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity might aid in elucidating etiological mechanisms and support precision and individualized medicine. Objective To cross-sectionally and longitudinally delineate disease-related heterogeneity in LLD associated with neuroanatomy, cognitive functioning, clinical symptoms, and genetic profiles. Design, Setting, and Participants The Imaging-Based Coordinate System for Aging and Neurodegenerative Diseases (iSTAGING) study is an international multicenter consortium investigating brain aging in pooled and harmonized data from 13 studies with more than 35 000 participants, including a subset of individuals with major depressive disorder. Multimodal data from a multicenter sample (N = 996), including neuroimaging, neurocognitive assessments, and genetics, were analyzed in this study. A semisupervised clustering method (heterogeneity through discriminative analysis) was applied to regional gray matter (GM) brain volumes to derive dimensional representations. Data were collected from July 2017 to July 2020 and analyzed from July 2020 to December 2021. Main Outcomes and Measures Two dimensions were identified to delineate LLD-associated heterogeneity in voxelwise GM maps, white matter (WM) fractional anisotropy, neurocognitive functioning, clinical phenotype, and genetics. Results A total of 501 participants with LLD (mean [SD] age, 67.39 [5.56] years; 332 women) and 495 healthy control individuals (mean [SD] age, 66.53 [5.16] years; 333 women) were included. Patients in dimension 1 demonstrated relatively preserved brain anatomy without WM disruptions relative to healthy control individuals. In contrast, patients in dimension 2 showed widespread brain atrophy and WM integrity disruptions, along with cognitive impairment and higher depression severity. Moreover, 1 de novo independent genetic variant (rs13120336; chromosome: 4, 186387714; minor allele, G) was significantly associated with dimension 1 (odds ratio, 2.35; SE, 0.15; P = 3.14 ×108) but not with dimension 2. The 2 dimensions demonstrated significant single-nucleotide variant-based heritability of 18% to 27% within the general population (N = 12 518 in UK Biobank). In a subset of individuals having longitudinal measurements, those in dimension 2 experienced a more rapid longitudinal change in GM and brain age (Cohen f2 = 0.03; P = .02) and were more likely to progress to Alzheimer disease (Cohen f2 = 0.03; P = .03) compared with those in dimension 1 (N = 1431 participants and 7224 scans from the Alzheimer's Disease Neuroimaging Initiative [ADNI], Baltimore Longitudinal Study of Aging [BLSA], and Biomarkers for Older Controls at Risk for Dementia [BIOCARD] data sets). Conclusions and Relevance This study characterized heterogeneity in LLD into 2 dimensions with distinct neuroanatomical, cognitive, clinical, and genetic profiles. This dimensional approach provides a potential mechanism for investigating the heterogeneity of LLD and the relevance of the latent dimensions to possible disease mechanisms, clinical outcomes, and responses to interventions.
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Affiliation(s)
- Junhao Wen
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Cynthia H. Y. Fu
- University of East London, School of Psychology, London, United Kingdom
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Yogasudha Veturi
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Zhijian Yang
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ahmed Abdulkadir
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Elizabeth Mamourian
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Dhivya Srinivasan
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ioanna Skampardoni
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ashish Singh
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Hema Nawani
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jingxuan Bao
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Guray Erus
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Haochang Shou
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Mohamad Habes
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio
| | - Jimit Doshi
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Erdem Varol
- Department of Statistics, Center for Theoretical Neuroscience, Zuckerman Institute, Columbia University, New York, New York
| | - R. Scott Mackin
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Aristeidis Sotiras
- Department of Radiology and Institute for Informatics, Washington University School of Medicine, St Louis, Missouri
| | - Yong Fan
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Andrew J. Saykin
- Radiology and Imaging Sciences, Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana Alzheimer’s Disease Research Center and the Melvin and Bren Simon Cancer Center, Indiana University School of Medicine, Indianapolis
| | - Yvette I. Sheline
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Marylyn D. Ritchie
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - David A. Wolk
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Neurology and Penn Memory Center, University of Pennsylvania, Philadelphia
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
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Pearson E, Siskind D, Hubbard RE, Gordon EH, Coulson EJ, Warren N. Frailty and severe mental illness: A systematic review and narrative synthesis. J Psychiatr Res 2022; 147:166-175. [PMID: 35051715 DOI: 10.1016/j.jpsychires.2022.01.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/02/2022] [Accepted: 01/06/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Emerging evidence suggests that people with severe mental illness (SMI) have an increased risk of frailty. We conducted a systematic review to investigate the prevalence and correlates of frailty, as well as the efficacy of frailty interventions, in this population. METHODS We searched databases from inception to 21 September 2021 for studies that assessed or intervened for frailty in relation to an SMI diagnosis. A narrative synthesis explored the characteristics and adverse health outcomes associated with frailty and the efficacy of interventions. The prevalence of frailty was investigated, and its relationship with age was analysed by a meta-regression. RESULTS Twenty-five studies involving 2499 patients, primarily older adults, were included in the narrative synthesis. Frailty was associated with higher rates of physical comorbidity, cognitive deficits, falls and mortality among those with SMI. The efficacy of a yoga intervention was investigated in one study, without sustained reductions in frailty. The prevalence of frailty varied between 10.2 and 89.7% and was high in comparison to the general population. CONCLUSIONS The prevalence of frailty was high in those with SMI and ranged widely due to heterogeneity of study populations. Assessing frailty enables the identification of patients who could benefit from interventions and assists in treatment-related decision making. Further research is required to develop appropriate frailty interventions for this population.
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Affiliation(s)
- Ella Pearson
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia.
| | - Dan Siskind
- Metro South Addiction and Mental Health Services, Brisbane, Queensland, Australia; School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Ruth E Hubbard
- Centre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia; Department of Geriatrics, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Emily H Gordon
- Centre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia; Department of Geriatrics, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Elizabeth J Coulson
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Nicola Warren
- Metro South Addiction and Mental Health Services, Brisbane, Queensland, Australia; School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia
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14
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Wang LQ, Zhang TH, Dang W, Liu S, Fan ZL, Tu LH, Zhang M, Wang HN, Zhang N, Ma QY, Zhang Y, Li HZ, Wang LC, Zheng YN, Wang H, Yu X. Heterogenous Subtypes of Late-Life Depression and Their Cognitive Patterns: A Latent Class Analysis. Front Psychiatry 2022; 13:917111. [PMID: 35873245 PMCID: PMC9298648 DOI: 10.3389/fpsyt.2022.917111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 06/03/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Late-life depression (LLD), characterized by cognitive deficits, is considered heterogeneous across individuals. Previous studies have identified subtypes with diverse symptom profiles, but their cognitive patterns are unknown. This study aimed to investigate the subtypes of LLD and the cognitive profile of each group. METHODS In total, 109 depressed older adults were enrolled. We performed latent class analysis using Geriatric Depression Scale items as indicators to generate latent classes. We compared the sociodemographic and clinical characteristics with cognitive functions between groups and conducted regression analysis to investigate the association between class membership and variables with significant differences. RESULTS Two classes were identified: the "pessimistic" group was characterized by pessimistic thoughts and the "worried" group with a relatively high prevalence of worry symptoms. The two groups did not differ in sociodemographic characteristics. The "pessimistic" group showed a higher rate of past history of depression and lower age of onset. The "worried" group had more physical comorbidities and a higher rate of past history of anxiety. The "pessimistic" group was more impaired in general cognitive function, executive function, information processing speed, and attention. Lower general and executive functions were associated with the membership in the "pessimistic" group. CONCLUSIONS Subjects with pessimistic symptoms and subjects with a propensity to worry may form two distinct subtypes of late-life depression with different cognitive profiles. Further, the cognitive evaluation of subjects with pessimistic symptoms is of utmost importance.
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Affiliation(s)
- Li-Qi Wang
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China
| | - Tian-Hong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Dang
- Department of Psychiatry, Xi'an Mental Health Center, Xi'an, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Zi-Li Fan
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China.,Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Li-Hui Tu
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China.,Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Ming Zhang
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China.,Department of Psychiatry, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hua-Ning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Nan Zhang
- Department of Neurology, General Hospital of Tianjin Medical University, Tianjin, China
| | - Qin-Ying Ma
- Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ying Zhang
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China
| | - Hui-Zi Li
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China
| | - Lu-Chun Wang
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China
| | - Yao-Nan Zheng
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China
| | - Huali Wang
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China
| | - Xin Yu
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders (Peking University), NHC Key Laboratory of Mental Health, Beijing, China
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15
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Kennedy GJ. Antidepressants May Not Be Enough When Frailty Complicates Depression in Late Life. Am J Geriatr Psychiatry 2021; 29:956-957. [PMID: 33455857 DOI: 10.1016/j.jagp.2021.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 01/05/2021] [Indexed: 11/16/2022]
Affiliation(s)
- Gary J Kennedy
- Division of Geriatric Psychiatry, Department of Psychiatry and Behavioral Science, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY.
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16
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Saberi A, Mohammadi E, Zarei M, Eickhoff SB, Tahmasian M. Structural and functional neuroimaging of late-life depression: a coordinate-based meta-analysis. Brain Imaging Behav 2021; 16:518-531. [PMID: 34331655 DOI: 10.1007/s11682-021-00494-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 06/28/2021] [Indexed: 10/20/2022]
Abstract
Several neuroimaging studies have investigated localized aberrations in brain structure, function or connectivity in late-life depression, but the ensuing results are equivocal and often conflicting. Here, we provide a quantitative consolidation of neuroimaging in late-life depression using coordinate-based meta-analysis by searching multiple databases up to March 2020. Our search revealed 3252 unique records, among which we identified 32 eligible whole-brain neuroimaging publications comparing 674 patients with 568 controls. The peak coordinates of group comparisons between the patients and the controls were extracted and then analyzed using activation likelihood estimation method. Our sufficiently powered analysis on all the experiments, and more homogenous subsections of the data (patients > controls, controls > patients, and functional imaging experiments) revealed no significant convergent regional abnormality in late-life depression. This inconsistency might be due to clinical and biological heterogeneity of LLD, as well as experimental (e.g., choice of tasks, image modalities) and analytic flexibility (e.g., preprocessing and analytic parameters), and distributed patterns of neural abnormalities. Our findings highlight the importance of clinical/biological heterogeneity of late-life depression, in addition to the need for more reproducible research by using pre-registered and standardized protocols on more homogenous populations to identify potential consistent brain abnormalities in late-life depression.
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Affiliation(s)
- Amin Saberi
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Esmaeil Mohammadi
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.,Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.,Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
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17
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Forbes MP, O'Neil A, Lane M, Agustini B, Myles N, Berk M. Major Depressive Disorder in Older Patients as an Inflammatory Disorder: Implications for the Pharmacological Management of Geriatric Depression. Drugs Aging 2021; 38:451-467. [PMID: 33913114 DOI: 10.1007/s40266-021-00858-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2021] [Indexed: 12/14/2022]
Abstract
Depression is a common and highly disabling condition in older adults. It is a heterogenous disorder and there is emerging evidence of a link between inflammation and depression in older patients, with a possible inflammatory subtype of depression. Persistent low-level inflammation, from several sources including psychological distress and chronic disease, can disrupt monoaminergic and glutaminergic systems to create dysfunctional brain networks. Despite the evidence for the role of inflammation in depression, there is insufficient evidence to recommend use of any putative anti-inflammatory agent in the treatment of depression in older adults at this stage. Further characterisation of markers of inflammation and stratification of participants with elevated rates of inflammatory markers in treatment trials is needed.
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Affiliation(s)
- Malcolm P Forbes
- Mental Health, Drugs and Alcohol Services, Barwon Health, Geelong, VIC, 3216, Australia.
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia.
- Department of Psychiatry, University of Melbourne, Parkville, VIC, 3050, Australia.
| | - Adrienne O'Neil
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Melissa Lane
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia
| | - Bruno Agustini
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia
| | - Nick Myles
- Faculty of Medicine, University of Queensland, St Lucia, QLD, 4072, Australia
| | - Michael Berk
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia
- Department of Psychiatry, University of Melbourne, Parkville, VIC, 3050, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
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18
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Lobato ZM, Almeida da Silva AC, Lima Ribeiro SM, Biella MM, Santos Silva Siqueira A, Correa de Toledo Ferraz Alves T, Machado-Vieira R, Borges MK, Oude Voshaar RC, Aprahamian I. Nutritional Status and Adverse Outcomes in Older Depressed Inpatients: A Prospective Study. J Nutr Health Aging 2021; 25:889-894. [PMID: 34409967 DOI: 10.1007/s12603-021-1638-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Significant weight loss and/or loss of appetite is a criterion of a depressive episode. While malnutrition is associated with many adverse health outcomes, the impact of malnutrition in late-life depression has hardly been examined. The present study aims to (1) evaluate the prevalence of malnutrition in depressed older inpatients, and (2) whether and which indices of malnutrition predict adverse health outcomes in late-life depression. DESIGN A prospective study at 6 months follow-up. SETTING A University-based psychiatric hospital. PARTICIPANTS 105 older adults (psychiatric inpatients suffering from unipolar MDD). MEASUREMENTS Participants were evaluated according the Mini Nutritional Assessment (MNA) and anthropometric measures to assess their nutritional status. Multiple regression analyses were used to evaluate the association between the MNA score as well as anthropometric measures with either falls or rehospitalization for any reason. RESULTS Based on the MNA score, 78 (74.3%) patients were at risk of malnutrition and 13 (12.4%) actually presented malnutrition. Malnutrition was associated with a higher age, frailty, lower body mass index, and smaller calf circumference. During follow-up, 21 (20%) patients fell, 27 (25.7%) were rehospitalized, and 3 died (2.9%). The MNA score was associated with adverse health outcomes, but a low calf circumference predicted falling (OR 4.93 [95% CI: 1.42-17.2], p=.012) and a higher calf circumference rehospitalization (OR 1.17 [95% CI: 1.01-1.35], p=.032). CONCLUSION Malnutrition is prevalent in older depressed inpatients. In contrast to subjective proxies for malnutrition, which are common in depression, only objective measures of malnutrition predict adverse health outcomes such as falls and rehospitalization.
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Affiliation(s)
- Z M Lobato
- Ivan Aprahamian, MD, MS, PhD, FACP. Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil. R. Dr. Ovídio Pires de Campos, 785, 1º andar, sala 1C 015. ZIP: 05403-903. Phone: (11) 2661-6963. São Paulo, Brazil, E-mail:
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19
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Borges MK, Romanini CV, Lima NA, Petrella M, da Costa DL, An VN, Aguirre BN, Galdeano JR, Fernandes IC, Cecato JF, Robello EC, Oude Voshaar RC, Aprahamian I. Longitudinal Association between Late-Life Depression (LLD) and Frailty: Findings from a Prospective Cohort Study (MiMiCS-FRAIL). J Nutr Health Aging 2021; 25:895-902. [PMID: 34409968 PMCID: PMC8103429 DOI: 10.1007/s12603-021-1639-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 04/19/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVES The aim of the present study was to investigate whether late-life depression (LLD) is associated with incident frailty over time. DESIGN Prospective cohort study, one-year follow-up. SETTING Geriatric outpatient clinic, Southwestern of Brazil. PARTICIPANTS 181 follow-up participants aged 60 years or over. MEASUREMENTS Depressive disorders were classified as Major Depressive disorder (MDD) or Subthreshold Depression (STD) according to DSM-5 criteria. Depressive symptoms were assessed with validated versions of 15-item Geriatric Depression Scale (GDS-15) and 9-item Patient Health Questionnaire (PHQ-9). We performed binary logistic regressions to estimate the odds ratio (OR) for frailty in LLD adjusting for multiple confounders. Participants who were frail at baseline were excluded from the analyses according to measures of frailty (FRAIL questionnaire and 36-item Frailty Index, FI-36). We also estimated the risk ratio or relative risk (RR) and the risk difference (RD) for incident frailty. RESULTS We observed a 2 to 4-fold increased risk for incident frailty among participants with LLD. The presence of a depressive disorder was significantly associated with the onset of frailty (adjusted OR for FRAIL and FI-36: 3.07 [95% CI = 1.03 - 9.17] and 3.76 [95% CI = 1.09 - 12.97], respectively. Notably, the risk for frailty due to LLD was significantly higher with the FI-36 compared to the FRAIL (RR: 3.03 versus 2.23). RD was of 17.3% and 12.7% with the FRAIL and the FI-36, respectively. CONCLUSION Our data support the association between LLD and incident frailty over one year among geriatric outpatients, reinforcing longitudinal evidence from population-based studies.
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Affiliation(s)
- M K Borges
- Ivan Aprahamian, MD, MS, PhD, FACP, FISAD. Group of Investigation on Multimorbidity and Mental Health in Aging (GIMMA). Division of Geriatrics, Department of Internal Medicine, Jundiaí Medical School. 250 Francisco Telles st. ZIP 13202-550. Jundiaí. Brazil; E-mail: . Tweeter: @IAprahamian
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20
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Late-onset depression is associated to age-related central auditory processing disorder in an older population in Southern Italy. GeroScience 2020; 43:1003-1014. [PMID: 33128133 PMCID: PMC8110676 DOI: 10.1007/s11357-020-00290-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 10/15/2020] [Indexed: 01/16/2023] Open
Abstract
The association between late-life depression (LLD) and age-related hearing loss (ARHL) was suggested by preliminary studies, but reliance on LLD subtypes may introduce significant bias. We examined the association between ARHL and LLD according to the age of onset (early-onset depression (EOD) and late-onset depression (LOD)). We investigated the association between ARHL and LLD diagnosed according to the Semi-structured Clinical Diagnostic Interview for DSM-IV-TR in 1749 Italian community-dwelling older subjects from the population-based GreatAGE Study, Southern Italy. Peripheral ARHL was assessed as a pure tone average (PTA) threshold > 40 dB hearing level in the better ear- and age-related CAPD as a score of < 50% to the Synthetic Sentences Identification with Ipsilateral Competitive Message (SSI-ICM) test. LLD amounted at 10.29% of the sample, subdivided in LOD (6.21%) and EOD (4.08%). Age-related CAPD tended to be higher in LOD (28.91%) than in EOD (19.05%). After accounting for covariates, LOD was tendentially associated to age-related CAPD, but not to peripheral ARHL. This trend was confirmed by the linear models in which LOD was significantly associated to worsen SSI-ICM percentages (odds ratio 2.38, 95% confidence interval 1.32-4.30, p = 0.004), but not to PTA values. In a fully adjusted model of LOD, the effect of the association between CAPD and LOD was explained by social dysfunction. LLD was not associated to peripheral ARHL. Age-related CAPD was associated to LOD, a form of depression with cognitive dysfunction hallmark. The ARHL assessment may be an important opportunity to prevent depressive disorders in later life, particularly for LOD.
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