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vom Hofe I, Stricker BH, Vernooij MW, Ikram MK, Ikram MA, Wolters FJ. Antidepressant use in relation to dementia risk, cognitive decline, and brain atrophy. Alzheimers Dement 2024; 20:3378-3387. [PMID: 38561253 PMCID: PMC11095425 DOI: 10.1002/alz.13807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 02/01/2024] [Accepted: 02/26/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION We aimed to assess the effect of antidepressant use on dementia risk, cognitive decline, and brain atrophy. METHODS In this prospective cohort study, we included 5511 dementia-free participants (Mini-Mental State Examination [MMSE] > 25) of the Rotterdam study (57.5% women, mean age 70.6 years). Antidepressant use was extracted from pharmacy records from 1991 until baseline (2002-2008). Incident dementia was monitored from baseline until 2018, with repeated cognitive assessment and magnetic resonance imaging (MRI) every 4 years. RESULTS Compared to never use, any antidepressant use was not associated with dementia risk (hazard ratio [HR] 1.14, 95% confidence interval [CI] 0.92-1.41), or with accelerated cognitive decline or atrophy of white and gray matter. Compared to never use, dementia risk was somewhat higher with tricyclic antidepressants (HR 1.36, 95% CI 1.01-1.83) than with selective serotonin reuptake inhibitors (HR 1.12, 95% CI 0.81-1.54), but without dose-response relationships, accelerated cognitive decline, or atrophy in either group. DISCUSSION Antidepressant medication in adults without indication of cognitive impairment was not consistently associated with long-term adverse cognitive effects. HIGHLIGHTS Antidepressant medications are frequently prescribed, especially among older adults. In this study, antidepressant use was not associated with long-term dementia risk. Antidepressant use was not associated with cognitive decline or brain atrophy. Our results support safe prescription in an older, cognitively healthy population.
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Affiliation(s)
- Ilse vom Hofe
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Bruno H. Stricker
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Meike W. Vernooij
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of Radiology & Nuclear Medicine and Alzheimer Centre Erasmus MCErasmus University Medical CenterRotterdamThe Netherlands
| | - M. Kamran Ikram
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of NeurologyErasmus University Medical CenterRotterdamThe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Frank J. Wolters
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of Radiology & Nuclear Medicine and Alzheimer Centre Erasmus MCErasmus University Medical CenterRotterdamThe Netherlands
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2
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Ronat L, Hanganu A. Neuropsychiatric and cognitive features of major depressive disorder in aging, based on the data from the US National Alzheimer's Coordinating Center (NACC). L'ENCEPHALE 2024; 50:130-136. [PMID: 37088582 DOI: 10.1016/j.encep.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 01/03/2023] [Accepted: 01/12/2023] [Indexed: 04/25/2023]
Abstract
OBJECTIVE The diagnosis of Major Depressive Disorder (MDD) is based on the DSM-V criteria and is established by a clinician. This allows quantifying depression based on clinical criteria. As such, MDD differs from other types of depressions that are measured by subjective scales. Here, we evaluated the MDD risk factor on other neuropsychiatric symptoms (NPS) as well as MDD association with cognitive performance in Alzheimer's disease (AD), Mild Cognitive Impairment (MCI) and Healthy Controls (HC). METHODS Data of 208 patients with AD, 291 patients with MCI and 647 HC were extracted from the National Alzheimer's Coordinating Center database. All participants included in this study were assessed by a physician for the MDD criteria, underwent an NPS evaluation using the NeuroPsychiatric Inventory, and a comprehensive cognitive assessment. Participants were classified as being with and without MDD. We performed logistic regression and MANCOVA models respectively with NPS and cognitive performance as variables of interest and MDD as fixed factors within each group. The MANCOVA was controlled for the effects of age, sex, and education. RESULTS MDD increased the risk for psychotic, affective and behavioral NPS in MCI, as well as affective and behavioral NPS in HC and AD. Also, MCI with MDD had lower performance on selective attention and mental flexibility. CONCLUSIONS MDD seems to increase the probability of a prevalence of NPS in all groups (HC, MCI and AD). Longitudinal data processing would help to understand the neuropsychiatric evolution of elderly subjects with MDD.
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Affiliation(s)
- L Ronat
- Centre de recherche de l'institut universitaire de gériatrie de Montréal, M7819, 4545 ch. Queen-Mary, H3W 1W6, Montréal, QC, Canada; Faculté de médecine, département de médecine, université de Montréal, Québec, Canada
| | - A Hanganu
- Centre de recherche de l'institut universitaire de gériatrie de Montréal, M7819, 4545 ch. Queen-Mary, H3W 1W6, Montréal, QC, Canada; Faculté des arts et des sciences, département de psychologie, université de Montréal, Québec, Canada.
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3
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Bonanni L, Cagnin A, Carrarini C, Logroscino G, Marra C, Rainero I. Real-life management of patients with mild cognitive impairment: an Italian survey. Neurol Sci 2024:10.1007/s10072-024-07478-9. [PMID: 38528281 DOI: 10.1007/s10072-024-07478-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 03/15/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is a syndrome with heterogeneous underlying causes and different rates of disease progression, whose clinical heterogeneity leads to a wide variation in diagnostic and therapeutic approaches in clinical practice. The lack of uniform practical recommendations on diagnostic workup and treatment for MCI patients hinders optimal management of these patients, worsening their prognosis. Standardized guidelines for the investigation and follow-up of MCI are therefore urgently required. AIM Aim of our study was to assess the diagnostic and therapeutic approach to MCI patients in the setting of Italian Memory Clinics. METHODS A survey was delivered to a sample of Italian neurologists through two different phases: a first exploratory phase recording general information about the usual clinical management of patients with MCI, and a subsequent operative phase assessing the practical diagnostic and therapeutic decisions taken in a real life setting to manage subjects with MCI. RESULTS A total of 121 neurologists participated to the first phase of the survey and 203 patients were enrolled in the second phase. Information gathered in the first phase of the survey highlighted a non-uniform use of diagnostic criteria and procedures for MCI, as well as a very heterogeneous therapeutic strategy among Italian neurologists. In the second phase, recorded data on diagnostic and therapeutic approach confirmed the large variability observed in the first phase of the survey. CONCLUSIONS The results of our study reflect a suboptimal management of MCI patients in Italy and highlight the need of standardized diagnostic and therapeutic approaches for this condition.
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Affiliation(s)
- Laura Bonanni
- Neurology Clinic, Department of Medicine and Aging Sciences, University G. D'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Annachiara Cagnin
- Neurology Clinic, Department of Neuroscience and Padova Neuroscience Center (PNC), University of Padova, Padua, Italy
| | - Claudia Carrarini
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- IRCCS San Raffaele, Rome, Italy
| | - Giancarlo Logroscino
- Center for Neurodegenerative Disorders and Brain Aging Ospedale Panico, Università Di Bari Tricase (LE), Bari, Italy
| | - Camillo Marra
- Memory Clinic, Department of Neuroscience, Sensorial Systems, and Chest, Fondazione Policlinico A. Gemelli, IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Innocenzo Rainero
- Aging Brain and Memory Clinic, Department of Neuroscience "Rita Levi Montalcini", University of Torino, Turin, Italy.
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Belfiori M, Salis F, Demelas G, Mandas A. Association between Depressive Mood, Antidepressant Therapy and Neuropsychological Performances: Results from a Cross-Sectional Study on Elderly Patients. Brain Sci 2024; 14:54. [PMID: 38248269 PMCID: PMC10813455 DOI: 10.3390/brainsci14010054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 12/21/2023] [Accepted: 01/03/2024] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Currently, the global demographic landscape is undergoing a transformative shift towards an increasingly aging population. This leads to an increase in chronic pathologies, including depression and cognitive impairment. This study aimed to evaluate the association between depressive mood, whether in treatment or not, and cognitive capacities, assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). METHODS This study included 259 subjects, aged 65 years or older, evaluated at the Geriatric Outpatient Service of the University Hospital of Monserrato, Cagliari, between July 2018 and May 2022, who experienced subjective depressive mood and/or cognitive deficits. RESULTS Only 25.1% of the sample showed no cognitive impairment on the RBANS. Education was a significant regressor of the RBANS Total Scale scores (p < 0.0001) and was negatively associated with mood deflection (r = -0.15, p = 0.0161). Subjects with depressive mood had more impaired attention and visuospatial/constructional abilities compared to untreated euthymic patients. Post-hoc analysis, conducted with the Conover test, showed that untreated euthymic patients (GDS-15 ≤ 5, group 2) had a higher score on the RBANS total scale than patients with mood deflection (GDS-15 > 5, group 1), and treated euthymic patients (GDS-15 ≤ 5, group 3). Finally, different logistic regression analyses revealed a significant negative coefficient for GDS as a regressor of the RBANS total scale (coefficient: -0.04, p = 0.0089), visuospatial/constructional abilities (coefficient: -0.03, p = 0.0009), language (coefficient: -0.05, p = 0.0140), and attention (coefficient: -0.05, p < 0.0001). CONCLUSIONS Our analysis demonstrated that "naturally" euthymic people show better cognitive performances than people with depressive mood and subjects with acceptable mood due to antidepressants. Furthermore, the gender-based difference observed in the language domain suggests the potential utility of incorporating an alternative category for male patients in the Semantic Fluency test.
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Affiliation(s)
- Maristella Belfiori
- Department of Medical Sciences, and Public Health, University of Cagliari, SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy; (F.S.); (G.D.); (A.M.)
| | - Francesco Salis
- Department of Medical Sciences, and Public Health, University of Cagliari, SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy; (F.S.); (G.D.); (A.M.)
- Department of Biomedical Sciences, University of Cagliari, 09042 Cagliari, Italy
| | - Giorgia Demelas
- Department of Medical Sciences, and Public Health, University of Cagliari, SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy; (F.S.); (G.D.); (A.M.)
| | - Antonella Mandas
- Department of Medical Sciences, and Public Health, University of Cagliari, SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy; (F.S.); (G.D.); (A.M.)
- University Hospital “Azienda Ospedaliero-Universitaria” of Cagliari, 09127 Cagliari, Italy
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Fagiolini A, González Pinto A, Miskowiak KW, Morgado P, Young AH, Vieta E. Trazodone in the Management of Major Depression Among Elderly Patients with Dementia: A Narrative Review and Clinical Insights. Neuropsychiatr Dis Treat 2023; 19:2817-2831. [PMID: 38155994 PMCID: PMC10753355 DOI: 10.2147/ndt.s434130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 12/02/2023] [Indexed: 12/30/2023] Open
Abstract
Objective Major depressive disorder (MDD) often co-occurs with dementia and other neurological disorders, and treatment with antidepressants can improve symptoms, quality of life, and survival in these patients. This narrative review provides an expert opinion about the role and effectiveness of trazodone in the treatment of older adults with MDD and cognitive impairment due to physical illnesses, such as dementia. Results Because of its mechanism of action, trazodone can treat several depression symptoms often seen in people with dementia, including insomnia, agitation, anxiety, cognitive impairment, and irritability. Conclusion Trazodone may be beneficial for patients with dementia or other neurological disorders comorbid with MDD, especially when the clinical picture of depression includes or is comorbid to symptoms of insomnia, irritability, inner tension, anxiety, or psychomotor agitation.
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Affiliation(s)
- Andrea Fagiolini
- Department of Molecular and Developmental Medicine, Division of Psychiatry, University of Siena School of Medicine, Siena, 53100, Italy
| | - Ana González Pinto
- Bioaraba Research Institute, Department of Psychiatry, Araba University Hospital, Vitoria, 01004, Spain
- CIBERSAM, University of the Basque Country, Vitoria, Spain
| | - Kamilla Woznica Miskowiak
- Neurocognition and Emotion in Affective Disorders Centre (NEAD), Psychiatric Centre Copenhagen, Mental Health Services, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, 4710-057, Portugal
- ICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, 4710-057, Portugal
- Clinical Academic Center-Braga (2CA), Braga, 4710-243, Portugal
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Kent, UK
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
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Sanchez-Ruiz JA, Leibman NI, Larson NB, Jenkins GD, Ahmed AT, Nunez NA, Biernacka JM, Winham SJ, Weinshilboum RM, Wang L, Frye MA, Ozerdem A. Age-Dependent Sex Differences in the Prevalence of Selective Serotonin Reuptake Inhibitor Treatment: A Retrospective Cohort Analysis. J Womens Health (Larchmt) 2023; 32:1229-1240. [PMID: 37856151 PMCID: PMC10621660 DOI: 10.1089/jwh.2022.0484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023] Open
Abstract
Background: Antidepressants are among the most prescribed medications in the United States. The aim of this study was to explore the prevalence of antidepressant prescriptions and investigate sex differences and age-sex interactions in adults enrolled in the Right Drug, Right Dose, Right Time: Using Genomic Data to Individualize Treatment (RIGHT) study. Materials and Methods: We conducted a retrospective analysis of the RIGHT study. Using electronic prescriptions, we assessed 12-month prevalence of antidepressant treatment. Sex differences and age-sex interactions were evaluated using multivariable logistic regression and flexible recursive smoothing splines. Results: The sample consisted of 11,087 participants (60% women). Antidepressant prescription prevalence was 22.24% (27.96% women, 13.58% men). After adjusting for age and enrollment year, women had significantly greater odds of antidepressant prescription (odds ratio = 2.29; 95% confidence interval = 2.07, 2.54). Furthermore, selective serotonin reuptake inhibitors (SSRIs) had a significant age-sex interaction. While SSRI prescriptions in men showed a sustained decrease with age, there was no such decline for women until after reaching ∼50 years of age. There are important limitations to consider in this study. Electronic prescription data were cross-sectional; information on treatment duration or adherence was not collected; this cohort is not nationally representative; and enrollment occurred over a broad period, introducing confounding by changes in temporal prescribing practices. Conclusions: Underscored by the significant interaction between age and sex on odds of SSRI prescription, our results warrant age to be incorporated as a mediator when investigating sex differences in mental illness, especially mood disorders and their treatment.
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Affiliation(s)
| | - Nicole I. Leibman
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Nicholas B. Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Gregory D. Jenkins
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Ahmed T. Ahmed
- The Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Nicolas A. Nunez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joanna M. Biernacka
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Stacey J. Winham
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard M. Weinshilboum
- Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA
| | - Liewei Wang
- Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA
| | - Mark A. Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
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7
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Sood A, Wilson RS, Yu L, Wang T, Schneider JA, Honer WG, Bennett DA. Selective serotonin reuptake inhibitor use, age-related neuropathology and cognition in late-life. Psychiatry Res 2023; 328:115471. [PMID: 37742529 PMCID: PMC10585709 DOI: 10.1016/j.psychres.2023.115471] [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: 05/24/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 09/26/2023]
Abstract
The objective of this study was to evaluate an association of selective serotonin reuptake inhibitor (SSRI) use with late life cognitive decline and further investigate the association with brain pathology. Using the data are from two harmonized clinical-pathologic cohort studies with annual cognitive testing we found that SSRI use was associated with significantly faster global cognitive decline and this association was present in those with and without pre-existing cognitive impairment at the time of SSRI initiation. In separate analyses of persons who died during the study and underwent neuropathologic examination, SSRI use was related to higher level of paired helical filament tau tangles and faster rate of global cognitive decline. However, when SSRI use and tangles were included in the same model, the association of SSRI use with rate of global cognitive decline was reduced by more than 50% and no longer statistically significant. SSRI use was associated with higher postmortem level of tau tangles, possibly because SSRI are being used to treat neurobehavioral symptoms associated with dementia, and this relationship appears to partly account for the association of SSRI use with more rapid cognitive decline.
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Affiliation(s)
- Ajay Sood
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
| | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Tianhao Wang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
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Wilkes FA, Jakabek D, Walterfang M, Velakoulis D, Poudel GR, Stout JC, Chua P, Egan GF, Looi JCL, Georgiou-Karistianis N. Hippocampal morphology in Huntington's disease, implications for plasticity and pathogenesis: The IMAGE-HD study. Psychiatry Res Neuroimaging 2023; 335:111694. [PMID: 37598529 DOI: 10.1016/j.pscychresns.2023.111694] [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: 03/10/2023] [Revised: 06/10/2023] [Accepted: 07/26/2023] [Indexed: 08/22/2023]
Abstract
While striatal changes in Huntington's Disease (HD) are well established, few studies have investigated changes in the hippocampus, a key neuronal hub. Using MRI scans obtained from the IMAGE-HD study, hippocampi were manually traced and then analysed with the Spherical Harmonic Point Distribution Method (SPHARM-PDM) in 36 individuals with presymptomatic-HD, 37 with early symptomatic-HD, and 36 healthy matched controls. There were no significant differences in overall hippocampal volume between groups. Interestingly we found decreased bilateral hippocampal volume in people with symptomatic-HD who took selective serotonin reuptake inhibitors compared to those who did not, despite no significant differences in anxiety, depressive symptoms, or motor incapacity between the two groups. In symptomatic-HD, there was also significant shape deflation in the right hippocampal head, showing the utility of using manual tracing and SPHARM-PDM to characterise subtle shape changes which may be missed by other methods. This study confirms previous findings of the lack of hippocampal volumetric differentiation in presymptomatic-HD and symptomatic-HD compared to controls. We also find novel shape and volume findings in those with symptomatic-HD, especially in relation to decreased hippocampal volume in those treated with SSRIs.
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Affiliation(s)
- Fiona A Wilkes
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia.
| | | | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, University of Melbourne and Northwestern Mental Health, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, University of Melbourne and Northwestern Mental Health, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Govinda R Poudel
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Julie C Stout
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
| | - Phyllis Chua
- Department of Psychiatry, School of Clinical Sciences, Monash University, Monash Medical Centre, Melbourne, Australia
| | - Gary F Egan
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
| | - Jeffrey C L Looi
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia; Neuroscience Research Australia, Sydney, Australia
| | - Nellie Georgiou-Karistianis
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
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9
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Wang L, Wang M, Zhao C, Jian J, Qiao D. Association of HTR3B gene polymorphisms with depression and its executive dysfunction: a case-control study. BMC Psychiatry 2023; 23:128. [PMID: 36849934 PMCID: PMC9972617 DOI: 10.1186/s12888-023-04625-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 02/22/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Previous studies have shown that depression was associated with HTR3B gene. The aim of this study was to investigate the relationship between polymorphisms of the HTR3B gene and depression and its executive dysfunction in Chinese Han population. METHODS A total of 229 patients with depressive disorder and 202 healthy controls were enrolled. Six Single nucleotide polymorphism sites (SNPs) including rs10789970, rs4938056, rs12421126, rs1176744, rs2276305 and rs12795805 were genotyped by Snapshot. Clinical features were collected using a general demographic questionnaire. The 24-item Hamilton Depression Scale (HAMD) was used to assess the symptoms' severity of the patients. The patients' executive function was assessed using a series of cognitive tests including Maze Test, Symbolic Coding Test, Spatial Span Inverse Order Test, Linking Test, and Emotional Management Test. RESULTS The genotypic and allelic distributions of rs1176744 in HTR3B gene were significantly different (χ2 = 11.129, P = 0.004, χ2 = 9.288, P = 0.002, respectively) between patients and controls. The A allele was positively correlated with depression. The proportion of A carriers was significantly higher and that of C carriers was lower in patients than those in controls. Patients had significantly lower scores of Spatial Span Inverse Order Test in carriers of A allele at locus rs1176744 and higher scores in carriers of C alleles at locus rs1176744 and rs12795805. CONCLUSIONS The polymorphisms of HTR3B gene may be associated with depression in Chinese Han population. The A allele of rs1176744 may increase the risk of developing depression and executive dysfunction while C alleles of rs1176744 and rs12795805 may be the protective factors for executive dysfunction in patients with depression.
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Affiliation(s)
- Lina Wang
- Department of Psychology, Shandong Normal University, Jinan, 250358, Shandong, China.,Department of Psychiatry, Shandong Mental Health Center, Shandong University, Jinan, 250014, Shandong, China
| | - Miao Wang
- School of Mental Health, Jining Medical University, Jining, 272000, Shandong, China
| | - Chaoben Zhao
- School of Mental Health, Jining Medical University, Jining, 272000, Shandong, China
| | - Jia Jian
- Department of Psychiatry, Shandong Mental Health Center, Shandong University, Jinan, 250014, Shandong, China
| | - Dongdong Qiao
- Department of Psychiatry, Shandong Mental Health Center, Shandong University, Jinan, 250014, Shandong, China.
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10
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Leng Y, Stone KL, Yaffe K. Race Differences in the Association Between Sleep Medication Use and Risk of Dementia. J Alzheimers Dis 2023; 91:1133-1139. [PMID: 36565126 PMCID: PMC10153591 DOI: 10.3233/jad-221006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND The effect of sleep medications on cognition in older adults is controversial, possibly dependent upon sleep quality, and may differ by race. OBJECTIVE To determine the longitudinal association between sleep medication use and incident dementia over 15 years, and to explore whether the association is independent of nighttime sleep disturbances and if it differs by race. METHODS We examined 3,068 community-dwelling older adults (aged 74.1±2.9 years, 41.7% Black, 51.5% female) without dementia. Sleep medication use was recorded three times by asking "Do you take sleeping pills or other medications to help you sleep?" with the response options: "Never (0)", "Rarely (≤1/month)", "Sometimes (2-4/month)", "Often (5-15/month)", or "Almost Always (16-30/month)". Incident dementia was defined using hospitalization records, dementia medication prescription or clinically significant decline in global cognition. RESULTS 138 (7.71%) of Whites and 34 (2.66%) of Blacks reported taking sleep medications "often or almost always". Whites were almost twice as likely to take all prescription hypnotics. 617 participants developed dementia over the follow-up. After adjustment for all covariates, participants who reported taking sleep medications ≥ 5/month versus ≤1/month were significantly more likely to develop dementia, and the association was only observed among Whites (HR = 1.79,1.21-2.66) but not Blacks (HR = 0.84,0.38-1.83); p for interaction = 0.048. Further adjustment for nighttime sleep did not appreciably alter the results. The association was similar for the cumulative frequency of sleep medication use and remained after introducing a time lag of 3 years. CONCLUSION Frequent sleep medication use was associated with an increased risk of dementia in White older adults. Further research is needed to determine underlying mechanisms.
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Affiliation(s)
- Yue Leng
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Katie L. Stone
- Department of Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
- Department of Neurology and Epidemiology, University of California, San Francisco, CA, USA
- San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
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11
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Wise EA, Adams RJ, Lyketsos CG, Leoutsakos J. Graphical methods for understanding changes in states: Understanding medication use pathways. Int J Methods Psychiatr Res 2022; 31:e1932. [PMID: 35894783 PMCID: PMC9720228 DOI: 10.1002/mpr.1932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 06/17/2022] [Accepted: 06/27/2022] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVES As epidemiological studies become longer and larger, the field needs novel graphical methods to visualize complex longitudinal data. The aim of this study was to present the Slinkyplot, a longitudinal crosstabulation, to illustrate patterns of antidepressant use in a large prospective cohort of older adults with mild cognitive impairment. METHODS Data from the National Alzheimer's Coordinating Center are used to track switches between different states and types of antidepressant use. A Slinkyplot is populated with rows representing the state of medication use at each timepoint and columns representing the state at each subsequent visit. RESULTS The constructed Slinkyplots display the common practice of switching on and off different antidepressants over time, with citalopram, sertraline, and bupropion most commonly used followed by switching to another SSRI or SNRI as second-line treatment. CONCLUSIONS Slinkyplots are an innovative graphical means of visualizing complex patterns of transitions between different states over time for large longitudinal studies.
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Affiliation(s)
- Elizabeth A. Wise
- Department of Psychiatry and Behavioral SciencesJohns Hopkins Bayview and Johns Hopkins UniversityBaltimoreMarylandUSA
| | - Roy J. Adams
- Department of Psychiatry and Behavioral SciencesJohns Hopkins Bayview and Johns Hopkins UniversityBaltimoreMarylandUSA
| | - Constantine G. Lyketsos
- Department of Psychiatry and Behavioral SciencesJohns Hopkins Bayview and Johns Hopkins UniversityBaltimoreMarylandUSA
| | - Jeannie‐Marie Leoutsakos
- Department of Psychiatry and Behavioral SciencesJohns Hopkins Bayview and Johns Hopkins UniversityBaltimoreMarylandUSA
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12
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Liampas I, Siokas V, Lyketsos CG, Dardiotis E. The Relationship between Neuropsychiatric Symptoms and Cognitive Performance in Older Adults with Normal Cognition. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:1586. [PMID: 36363543 PMCID: PMC9694960 DOI: 10.3390/medicina58111586] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/12/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022]
Abstract
Background and Objectives: To explore whether specific Neuropsychiatric Symptoms (NPS) are related to worse performance in particular cognitive domains. Materials and Methods: A cross-sectional analysis of the baseline evaluations of older (≥60 years), cognitively unimpaired (CU) participants from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set was performed. Data were derived from 43 Alzheimer's Disease Research Centers. Cognitively impaired individuals, participants with psychiatric disorders and/or under treatment with antipsychotic, anxiolytic, sedative, or hypnotic agents were excluded. NPS were assessed using the Neuropsychiatric Inventory Questionnaire. The association of NPS with participants' performance on episodic memory, semantic memory, language, attention, processing speed and executive function was analysed using an adjusted (considering important demographic and medical factors) multivariate general linear model. Results: A total of 7179 CU, older, predominantly female, Caucasian, and well-educated participants were included in the present analysis. Among them, 1856 individuals had one or more NPS. Our analysis revealed that moderate/severe anxiety was related to worse performance on semantic memory, attention and executive function, the presence of hallucinations was linked to worse processing speed and executive function scores, while the presence of elation/euphoria and aberrant motor behaviour were associated with poorer attention and language performance, respectively. In the context of a secondary, exploratory analysis, the presence of moderate/severe delusions was related to worse processing speed and executive function performance. Conclusions: The relationship between specific NPS and worse performance in particular cognitive domains could inform the formulation of individualized preventive strategies directed to the ''fortification'' of specific cognitive functions in CU individuals with NPS.
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Affiliation(s)
- Ioannis Liampas
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, 41100 Larissa, Greece
| | - Vasileios Siokas
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, 41100 Larissa, Greece
| | - Constantine George Lyketsos
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, 41100 Larissa, Greece
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
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13
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Nasser A. Antidepressant’s long-term effect on cognitive performance and cardiovascular system. CARDIOMETRY 2022. [DOI: 10.18137/cardiometry.2022.23.7688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Background: The nature of antidepressants and their adverse effects should be considered when treating severe depression in individuals with psychotic symptoms. Antidepressant prescription rates have risen steadily over the last 30 years, affecting people of all ages. Aim: The goal of this study was to see if depression and antidepressant usage were linked to long-term changes in cognitive function and cardiovascular health. Methodology: Meta-analysis was performed using PRISMA guidelines along with using the SPIDER search framework using related keywords on different search engines i.e. Google scholars, PubMed, Scopus, ISI, etc. Total (n=2256) papers were obtained and assessed for eligibility. Altogether 15 studies were included using databases and other methods. The Newcastle-Ottawa Scale examined the grades provided by the data after numerous screenings. Result: A distinct link was found between antidepressants with cognitive performance and the cardiovascular system. Dementia and hypertension were prevailing long-term effects caused by frequent use of antidepressants in chronic and mild depression.
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14
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Huang IC, Chang TS, Chen C, Sung JY. Effect of Vortioxetine on Cognitive Impairment in Patients With Major Depressive Disorder: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Int J Neuropsychopharmacol 2022; 25:969-978. [PMID: 35981958 PMCID: PMC9743961 DOI: 10.1093/ijnp/pyac054] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 05/26/2022] [Accepted: 08/17/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Dementia and depression are increasingly common worldwide, and their effective control could ease the burden on economies, public health systems, and support networks. Vortioxetine is a new antidepressant with multipharmacologic actions that elevate the concentration of serotonin and modulate multiple neurotransmitter receptors in the brain. We conducted a meta-analysis to explore whether the cognitive function of patients with major depressive disorder (MDD) treated with vortioxetine would improve. METHODS We systematically reviewed randomized controlled trials (RCTs) in the PubMed, Embase, and Cochrane databases to assess the treatment effects of vortioxetine on the cognitive function of patients with MDD. The outcome measures included the Digit Symbol Substitution Test (DSST), Perceived Deficits Questionnaire (PDQ), and Montgomery-Åsberg Depression Rating Scale (MADRS) scores. Pooled results were calculated using a fixed-effects or random-effects model according to the heterogeneity of the included trials. RESULTS Six RCTs with a total of 1782 patients were included in the meta-analysis, which demonstrated that vortioxetine improved DSST, PDQ, and MADRS scores in patients with MDD. The results were consistent at the 10- and 20-mg doses. In the 20-mg group, the decrease in MADRS scores was more significant than that in the placebo group. CONCLUSIONS Both the 10- and 20-mg doses of vortioxetine can significantly increase DSST scores and decrease PDQ and MADRS scores in patients with MDD and cognitive dysfunction, but further studies with longer follow-up periods to assess mental function are required.
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Affiliation(s)
- I-Chen Huang
- Department of Neurology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Tsui-San Chang
- Department of Neurology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chiehfeng Chen
- Division of Plastic Surgery, Department of Surgery, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan,Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Cochrane Taiwan, Taipei Medical University, Taipei, Taiwan
| | - Jia-Ying Sung
- Correspondence: Jia-Ying Sung, MD, PhD, Department of Neurology, Wan Fang Hospital, Taipei Medical University, No. 111, Sec. 3, Xinglong Rd, Wenshan Dist, Taipei City 116, Taiwan ()
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15
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Schulkens JEM, Deckers K, Jenniskens M, Blokland A, Verhey FRJ, Sobczak S. The effects of selective serotonin reuptake inhibitors on memory functioning in older adults: A systematic literature review. J Psychopharmacol 2022; 36:578-593. [PMID: 35486412 PMCID: PMC9112622 DOI: 10.1177/02698811221080462] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
INTRODUCTION Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed to older adults. In contrast to young subjects, it is unclear whether older adults may be vulnerable to cognitive side effects. Serotonin is involved in cognitive functions (e.g. memory). It is of great importance to examine the effects of SSRIs on memory functioning in older adults. OBJECTIVES The objective of this systematic literature review is to summarize studies in which the effects of SSRI treatment on all aspects of memory functioning in older adults are investigated. METHODS PubMed, PsycINFO, CINAHL, and Embase were searched for all studies published until 18th of October 2021. Articles were included if they fulfilled the inclusion criteria as follows: (1) study design is (randomized) controlled trial, cross-sectional, or prospective cohort study; (2) study population consists of older adults (mean age ⩾65 years), or results for this age-group are reported separately; (3) intervention is use of an SSRI; and (4) effects on performance of any memory domain are measured and clearly described. RESULTS The search yielded 1888 articles, of which 136 were included for the full-text review. Eventually, 40 articles were included. Most studies reported no association between SSRI use and memory functioning. The studies that found a positive association mainly investigated older adults with mental or neurological disorders (e.g. depression or stroke). A few studies found a negative association in the following subgroups: non-responders (depression), patients with frontal brain disease, and women. CONCLUSION Overall, no consistent negative effects of SSRIs on memory functioning in older adults were found after SSRI treatment. Most studies reported no change in memory functioning after SSRI use. Some studies even showed an improvement in memory performance. Positive effects of SSRIs on memory functioning were especially found in older adults with mental or neurological disorders, such as subjects with depression or stroke.
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Affiliation(s)
- Julie EM Schulkens
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Alzheimer Centre Limburg (ACL), Maastricht University, Maastricht, The Netherlands,Department of Old Age Psychiatry, Mondriaan Hospital, Heerlen, The Netherlands,Julie EM Schulkens, Department of Old Age Psychiatry, Mondriaan Hospital, Kloosterkensweg 10, 6419 PJ Heerlen, The Netherlands.
| | - Kay Deckers
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Alzheimer Centre Limburg (ACL), Maastricht University, Maastricht, The Netherlands
| | - Maud Jenniskens
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Alzheimer Centre Limburg (ACL), Maastricht University, Maastricht, The Netherlands
| | - Arjan Blokland
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Frans RJ Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Alzheimer Centre Limburg (ACL), Maastricht University, Maastricht, The Netherlands
| | - Sjacko Sobczak
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Alzheimer Centre Limburg (ACL), Maastricht University, Maastricht, The Netherlands,Department of Old Age Psychiatry, Mondriaan Hospital, Heerlen, The Netherlands
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16
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Yang H, Liu Y, Yang C, Lin X. The effect of systemic antidepressant treatments in early stage on neurocognitive function of euthymic bipolar patients initiated with a depressive onset: An observational, cross-sectional, single-blind study protocol. Brain Behav 2021; 11:e2360. [PMID: 34520638 PMCID: PMC8553326 DOI: 10.1002/brb3.2360] [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: 04/05/2021] [Revised: 08/28/2021] [Accepted: 08/31/2021] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVES Patients with bipolar disorder (BD) have a wide range of neurocognitive dysfunction even in euthymic state, leading to impaired psychosocial function and reduced quality of life. However, the understanding on risk factors related to neurocognitive impairment in such group of people is limited. In view of significantly delayed diagnosis of BD and common use of antidepressants prior to the BD diagnosis, the study aims to clarify whether systemic antidepressant use in early stage, defined as from the initial depressive episode to the diagnosis of BD, could impact neurocognitive function of euthymic bipolar patients. METHODS It is an observational, cross-sectional, single-blind trial, making a comparison in neurocognitive function between euthymic bipolar patients who had a depressive episode as initial onset and being with and without systemic antidepressant treatments in early stage (n = 62 and 62, respectively); secondary outcomes include the impact of systemic antidepressant use on global function, quality of life, sleep quality, positive and negative affect, and peripheral level of neuron-specific enolase. DISCUSSION The study will provide a comprehensive and in-depth understanding on the effect of systemic antidepressant treatments in early stage in such group of patients. It is expected to better guide the related prevention and treatment work of BD management. TRIAL REGISTRATION The study was registered on Clinicaltrials.gov with protocol ID (TJAH2020-18) and clinicaltrials.gov ID (NCT04564573).
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Affiliation(s)
- Huizeng Yang
- Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin, China
| | - Yuanyuan Liu
- Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin, China
| | - Chenghao Yang
- Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin, China
| | - Xiaoling Lin
- School of Nursing, Sun Yat-sen University, Guangzhou, China
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17
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Sommerlad A, Werbeloff N, Perera G, Smith T, Costello H, Mueller C, Kormilitzin A, Broadbent M, Nevado-Holgado A, Lovestone S, Stewart R, Livingston G. Effect of trazodone on cognitive decline in people with dementia: Cohort study using UK routinely collected data. Int J Geriatr Psychiatry 2021; 37. [PMID: 34564898 DOI: 10.1002/gps.5625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 09/20/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVES Evidence in mouse models has found that the antidepressant trazodone may be protective against neurodegeneration. We therefore aimed to compare cognitive decline of people with dementia taking trazodone with those taking other antidepressants. METHODS Three identical naturalistic cohort studies using UK clinical registers. We included all people with dementia assessed during 2008-16 who were recorded taking trazodone, citalopram or mirtazapine for at least 6 weeks. Linear mixed models examined age, time and sex-adjusted Mini-mental state examination (MMSE) change in people with all-cause dementia taking trazodone compared with those taking citalopram and mirtazapine. In secondary analyses, we examined those with non-vascular dementia; mild dementia; and adjusted results for neuropsychiatric symptoms. We combined results from the three study sites using random-effects meta-analysis. RESULTS We included 2,199 people with dementia, including 406 taking trazodone, with mean 2.2 years follow-up. There was no difference in adjusted cognitive decline in people with all-cause or non-vascular dementia taking trazodone, citalopram or mirtazapine in any of the three study sites. When data from the three sites were combined in meta-analysis, we found greater mean MMSE decline in people with all-cause dementia taking trazodone compared to those taking citalopram (0·26 points per successive MMSE measurement, 95% CI 0·03-0·49; p = 0·03). Results in sensitivity analyses were consistent with primary analyses. CONCLUSIONS There was no evidence of cognitive benefit from trazodone compared to other antidepressants in people with dementia in three naturalistic cohort studies. Despite preclinical evidence, trazodone should not be advocated for cognition in dementia.
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Affiliation(s)
- Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Nomi Werbeloff
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
- The Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel
| | - Gayan Perera
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Tanya Smith
- NIHR Biomedical Research Centre, Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Harry Costello
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Christoph Mueller
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | | | | | - Alejo Nevado-Holgado
- Mathematical Institute, University of Oxford, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford, Oxford, UK
- Johnson and Johnson Medical Ltd., Janssen-Cilag, High Wycombe, UK
| | - Robert Stewart
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
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18
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Brender R, Mulsant BH, Blumberger DM. An update on antidepressant pharmacotherapy in late-life depression. Expert Opin Pharmacother 2021; 22:1909-1917. [PMID: 33910422 DOI: 10.1080/14656566.2021.1921736] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Introduction: Clinically important depressive symptoms that occur in adults over age 60 are often termed late-life depression (LLD). LLD poses challenges for treating clinicians in both detection and treatment. Antidepressants are the most common first-line treatment approach. Older adults are at an increased risk of adverse effects because of polypharmacy.Areas covered: This article summarizes the challenges and approaches when using pharmacotherapy in LLD with a focus on newer data that have become available during the last five years. While no new antidepressants have become available during this period, a review of the literature summarizes advances in the knowledge of the adverse effects associated with various antidepressants and on the potential contribution of pharmacogenetic tools when prescribing antidepressants to older patients.Expert opinion: During the past 5 years, most of the literature relevant to the pharmacotherapy of MDD in older patients has focused on adverse effects. In particular, the effects of antidepressants on cognition and bone are emerging as important areas for clinical attention and further investigation. There is also an emerging literature on the potential role of pharmacogenetic testing in patients with MDD, though recommendations for use in older adults await larger studies that demonstrate its efficacy and cost-effectiveness.
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Affiliation(s)
- Ram Brender
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Benoit H Mulsant
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Daniel M Blumberger
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
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19
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The effects of trazodone on human cognition: a systematic review. Eur J Clin Pharmacol 2021; 77:1623-1637. [PMID: 34097124 PMCID: PMC8182348 DOI: 10.1007/s00228-021-03161-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 05/13/2021] [Indexed: 12/15/2022]
Abstract
Trazodone is a widely used antidepressant that is also useful in the control of agitation and insomnia in Alzheimer's disease. This drug is now recognized as having a new mechanism of action, an effect on the unfolded protein response (UPR) pathway, restoring protein translation and slowing neurodegenerative progression in mice. This mechanism may have a role in dementia-modifying treatment. To explore the effects of trazodone on human cognition and to search for clinical evidence of its putative benefits in human neurodegenerative diseases, a systematic review was conducted for studies that evaluated the effect of a minimum dose of 25 mg of trazodone daily, for at least 1 week, on cognition in adult humans. The search was run in MEDLINE, Web of Science, and CENTRAL from the Cochrane databases, yielding a total of 16 studies after selection. Overall, seven studies showed no effect of trazodone on cognition, five showed a beneficial effect by improving or reducing cognitive decline, and four evidenced impaired cognitive function. Our analysis highlights the possibility of a dose-independent dual effect of trazodone on human cognition, with acute utilization associated with impaired cognitive function and long-term use with preventing cognitive deterioration. There was no clinical evidence that trazodone could be used as a specific treatment of neurodegenerative diseases. Future studies should explore the role of trazodone in the UPR pathway and the implications in neurodegenerative diseases in humans.
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20
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Babulal GM, Roe CM, Stout SH, Rajasekar G, Wisch JK, Benzinger TLS, Morris JC, Ances BM. Depression is Associated with Tau and Not Amyloid Positron Emission Tomography in Cognitively Normal Adults. J Alzheimers Dis 2021; 74:1045-1055. [PMID: 32144985 DOI: 10.3233/jad-191078] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Depression is also common with older age. Alzheimer's disease (AD) studies suggest that both cerebrospinal fluid and positron emission tomography (PET) amyloid biomarkers are associated with more depressive symptoms in cognitively normal older adults. The recent availability of tau radiotracers offers the ability to examine in vivo tauopathy. It is unclear if the tau biomarker is associated with depression diagnosis. OBJECTIVE We examined if tau and amyloid imaging were associated with a depression diagnosis among cognitively normal adults (Clinical Dementia Rating = 0) and whether antidepressants modified this relationship. METHODS Among 301 participants, logistic regression models evaluated whether in vivo PET tau was associated with depression, while another model tested the interaction between PET tau and antidepressant use. A second set of models substituted PET amyloid for PET tau. A diagnosis of depression (yes/no) was made during an annual clinical assessment by a clinician. Antidepressant use (yes/no) was determined by comparing medications the participants used to a list of 30 commonly used antidepressants. All models adjusted for age, sex, education, race, and apolipoprotein ɛ4. Similar models explored the association between the biomarkers and depressive symptoms. RESULTS Participants with elevated tau were twice as likely to be depressed. Antidepressant use modified this relationship where participants with elevated tau who were taking antidepressants had greater odds of being depressed. Relatedly, elevated amyloid was not associated with depression. CONCLUSIONS Our results demonstrate that tau, not amyloid, was associated with a depression diagnosis. Additionally, antidepressant use interacts with tau to increase the odds of depression among cognitively normal adults.
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Affiliation(s)
- Ganesh M Babulal
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Catherine M Roe
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sarah H Stout
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Ganesh Rajasekar
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Julie K Wisch
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA.,Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA.,Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Physical Therapy, Washington University School of Medicine, St. Louis, MO, USA.,Department of Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
| | - Beau M Ances
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA
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21
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Ingemann TN, Backe MB, Bonefeld-Jørgensen EC, Skovgaard N, Pedersen ML. Prevalence of patients treated with antidepressant medicine in Greenland and Denmark: a cross-sectional study. Int J Circumpolar Health 2021; 80:1912540. [PMID: 33871316 PMCID: PMC8078927 DOI: 10.1080/22423982.2021.1912540] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Depression is a mental illness affecting more than 260 million people worldwide. In Greenland, the prevalence of patients treated with antidepressant medicine (antidepressants) has not previously been investigated. The aim of this study was to estimate and compare the age- and gender-specific prevalence of patients treated with antidepressants in Greenland and Denmark. The study was a cross-sectional register study using data from population and medical registers in Greenland and Denmark. Included was 1,573 Greenlandic patients and 419,151 Danish patients treated with antidepressants, respectively. The overall prevalence of patients aged 10–89 years treated with antidepressants was 3.5% in Greenland, and 8.1% in Denmark, being significantly lower in Greenland compared to Denmark (p < 0.001). The age- and gender-specific prevalence was significantly lower for patients from Greenland compared to from Denmark. In both Greenland and Denmark, the prevalence of women receiving antidepressants was significantly higher than for men. Finally, there was regional differences in the prevalence of usage of antidepressants in Greenland. Undiagnosed depression might contribute to the lower prevalence in Greenland as well as limited access to primary healthcare.
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Affiliation(s)
| | - Marie Balslev Backe
- Steno Diabetes Center Greenland, Nuuk, Greenland.,Greenland Center for Health Research, Institute of Nursing and Health Science, University of Greenland, Nuuk, Greenland
| | - Eva C Bonefeld-Jørgensen
- Greenland Center for Health Research, Institute of Nursing and Health Science, University of Greenland, Nuuk, Greenland.,Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Nils Skovgaard
- Greenland Center for Health Research, Institute of Nursing and Health Science, University of Greenland, Nuuk, Greenland
| | - Michael Lynge Pedersen
- Steno Diabetes Center Greenland, Nuuk, Greenland.,Greenland Center for Health Research, Institute of Nursing and Health Science, University of Greenland, Nuuk, Greenland
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22
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Brenowitz WD, Al Hazzouri AZ, Vittinghoff E, Golden SH, Fitzpatrick AL, Yaffe K. Depressive Symptoms Imputed Across the Life Course Are Associated with Cognitive Impairment and Cognitive Decline. J Alzheimers Dis 2021; 83:1379-1389. [PMID: 34420969 PMCID: PMC9095065 DOI: 10.3233/jad-210588] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Depressive symptoms may increase risk for dementia, but findings are controversial because late-life depression may be a prodromal dementia symptom. Life course data on depression and dementia risk may clarify this association; however, data is limited. OBJECTIVE To impute adult depressive symptoms trajectories across adult life stages and estimate the association with cognitive impairment and decline. METHODS Using a pooled study of 4 prospective cohorts (ages 20-89), we imputed adult life course depressive symptoms trajectories based on Center for Epidemiologic Studies Depression Scale-10 (CESD-10) and calculated time-weighted averages for early adulthood (ages 20-49), mid-life (ages 50-69), and late-life (ages 70-89) for 6,122 older participants. Adjusted pooled logistic and mixed-effects models estimated associations of imputed depressive symptoms with two cognitive outcomes: cognitive impairment defined by established criteria and a composite cognitive score. RESULTS In separate models, elevated depressive symptoms in each life stage were associated with cognitive outcomes: early adulthood OR for cognitive impairment = 1.59 (95%CI: 1.35,1.87); mid-life OR = 1.94 (95%CI:1.16, 3.26); and late-life OR = 1.77 (95%CI:1.42, 2.21). When adjusted for depressive symptoms in the other life-stages, elevated depressive symptoms in early adulthood (OR = 1.73; 95%CI: 1.42,2.11) and late-life (OR = 1.43; 95%CI: 1.08,1.89) remained associated with cognitive impairment and were also associated with faster rates of cognitive decline (p < 0.05). CONCLUSION Imputing depressive symptom trajectories from pooled cohorts may help expand data across the life course. Our findings suggest early adulthood depressive symptoms may be a risk factor for cognitive impairment independent of mid- or late-life depressive symptoms.
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Affiliation(s)
- Willa D. Brenowitz
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
| | - Adina Zeki Al Hazzouri
- Department of Epidemiology, Mailman School of Public Health, Columbia University, NY, USA
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
| | - Sherita H. Golden
- Department of Medicine Johns Hopkins University School of Medicine and Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine, Epidemiology, and Global Health, School of Public Health, University of Washington, WA, USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- San Francisco VA Health Care System, San Francisco, CA, USA
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23
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Smichenko J, Gil E, Zisberg A. Relationship Between Changes in Sedative-Hypnotic Medications Burden and Cognitive Outcomes in Hospitalized Older Adults. J Gerontol A Biol Sci Med Sci 2020; 75:1699-1705. [PMID: 31942612 DOI: 10.1093/gerona/glaa015] [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: 09/23/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Sedative-hypnotic medications (SHMs) are frequently used in hospitalized older patients, despite undesirable effects on cognitive status. Although previous studies found a significant number of patients experience changes in SHM use during hospitalization, it is unclear which pattern of change leads to hospital-associated cognitive decline (HACD). This study tested the association between patterns of SHM change and HACD. METHODS This secondary analysis study included 550 patients age 70+ who were cognitively intact at admission (Short Portable Mental Status Questionnaire [SPMSQ] ≥8). HACD was defined as at least 1-point decline in SPMSQ between admission and discharge. Changes in sedative burden (SB) before and during hospitalization (average SB of all hospitalization days) were coded using the Drug Burden Index sorting study participants into four groups: without SB (n = 254), without SB changes (n = 132), increased SB (n = 82), and decreased SB (n = 82). RESULTS Incidence of HACD was 233/550 (42.4%). In multivariate logistic analysis controlling for demographic characteristics, length of stay, severity of acute illness, comorbidity, SB score at home, pain on admission and depression, the odds of HACD were 2.45 (95% CI: 1.16 to 5.13) among participants with increased SB, 2.10 (95% CI: 1.13 to 3.91) among participants without SB changes, compared with participants with decreased SB. CONCLUSION Older patients whose SB is increased or does not change are at higher risk for acquired cognitive decline than are those whose SB is reduced. Identifying patients with a potential increase in SB and intervening to reduce it may help to fight HACD.
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Affiliation(s)
- Juliana Smichenko
- The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Science, University of Haifa, Mount Carmel, Haifa, Israel
| | - Efrat Gil
- Clalit Health Services, Haifa and West Galilee and Carmel Hospital, Haifa, Israel.,Faculty of Medicine, Technion, Haifa, Israel
| | - Anna Zisberg
- The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Science, University of Haifa, Mount Carmel, Haifa, Israel
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24
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Han F, Bonnett T, Brenowitz WD, Teylan MA, Besser LM, Chen YC, Chan G, Cao KG, Gao Y, Zhou XH. Estimating associations between antidepressant use and incident mild cognitive impairment in older adults with depression. PLoS One 2020; 15:e0227924. [PMID: 31951629 PMCID: PMC6968868 DOI: 10.1371/journal.pone.0227924] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 01/02/2020] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Previous studies have provided equivocal evidence of antidepressant use on subsequent cognitive impairment; this could be due to inconsistent modeling approaches. Our goals are methodological and clinical. We evaluate the impact of statistical modeling approaches on the associations between antidepressant use and risk of Mild Cognitive Impairment (MCI) in older adults with depression. METHODS 716 participants were enrolled. Our primary analysis employed a time-dependent Cox proportional hazards model. We also implemented two fixed-covariate proportional hazards models-one based on having ever used antidepressants during follow-up, and the other restricted to baseline use only. RESULTS Treating antidepressant use as a time-varying covariate, we found no significant association with incident MCI (HR = 0.92, 95% CI: 0.70, 1.20). In contrast, when antidepressant use was treated as a fixed covariate, we observed a significant association between having ever used antidepressants and lower risk of MCI (HR = 0.40, 95% CI: 0.28, 0.56). However, in the baseline-use only model, the association was non-significant (HR = 0.84, 95% CI: 0.60, 1.17). DISCUSSION Our results were dependent upon statistical models and suggest that antidepressant use should be modeled as a time-varying covariate. Using a robust time-dependent analysis, antidepressant use was not significantly associated with incident MCI among cognitively normal persons with depression.
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Affiliation(s)
- Fang Han
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
- National Alzheimer’s Coordinating Center, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Department of Neurology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Tyler Bonnett
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, Maryland, United States of America
| | - Willa D. Brenowitz
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Merilee A. Teylan
- National Alzheimer’s Coordinating Center, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Lilah M. Besser
- National Alzheimer’s Coordinating Center, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Yen-Chi Chen
- National Alzheimer’s Coordinating Center, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Gary Chan
- National Alzheimer’s Coordinating Center, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Ke-Gang Cao
- Department of Neurology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Ying Gao
- Department of Neurology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Xiao-Hua Zhou
- Department of Biostatistics, Beijing International Center for Mathematical Research, Peking University, Beijing, China
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Lee JE, Ju YJ, Chun KH, Lee SY. The Frequency of Sleep Medication Use and the Risk of Subjective Cognitive Decline (SCD) or SCD With Functional Difficulties in Elderly Individuals Without Dementia. J Gerontol A Biol Sci Med Sci 2019; 75:1693-1698. [DOI: 10.1093/gerona/glz269] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Indexed: 01/25/2023] Open
Abstract
Abstract
Background
The present study investigated whether the frequency of sleep medication use affects subjective cognitive decline (SCD) or SCD with functional difficulties in elderly individuals.
Methods
The 2018 Korea Community Health Survey data, which consists of national representative and community-based data, was used in this study. A total of 57,050 individuals aged 65 years or older were included in this study. SCD was measured using the Behavioral Risk Factor Surveillance System. A logistic regression analysis was used to analyze the data.
Results
In total, 16,966 (29.7%) participants had SCD and 3,487 (6.1%) had SCD with functional difficulties. The elderly individuals who took sleep medication more than once a week had higher risks of both SCD and SCD with functional difficulties than those who did not take any sleep medication in a month (SCD: odds ratio [OR] = 1.329, 95% confidence interval [CI] = 1.194–1.480; SCD with functional difficulties: OR = 1.752, 95% CI = 1.491–2.058).
Conclusions
Frequent sleep medication use was associated with both SCD and SCD with functional difficulties. This study suggests that early detection of cognitive impairment and efforts to reduce the frequent use of sleeping pills in patients with insomnia might be helpful to reduce the burden of SCD and SCD with functional difficulties in the elderly population.
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Affiliation(s)
- Joo Eun Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Yeongtong-gu, Korea
- Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Korea
| | - Yeong Jun Ju
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Yeongtong-gu, Korea
- Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Korea
| | - Ki Hong Chun
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Yeongtong-gu, Korea
| | - Soon Young Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Yeongtong-gu, Korea
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Chan JYC, Yiu KKL, Kwok TCY, Wong SYS, Tsoi KKF. Depression and Antidepressants as Potential Risk Factors in Dementia: A Systematic Review and Meta-analysis of 18 Longitudinal Studies. J Am Med Dir Assoc 2019; 20:279-286.e1. [PMID: 30711460 DOI: 10.1016/j.jamda.2018.12.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 11/28/2018] [Accepted: 12/09/2018] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To investigate whether depression and/or antidepressants can be a potential risk factor for the development of dementia and mild cognitive impairment (MCI). DESIGN Systematic review and meta-analysis of longitudinal studies. SETTING AND PARTICIPANTS Community or clinical settings. Participants included patients with depression, antidepressant users, and the general population. MEASURES Longitudinal studies evaluating the risks of dementia or MCI in patients with depression and/or antidepressant users were identified from the OVID database. The outcomes were the number of patients who developed dementia or MCI among the antidepressant users and nonusers. Relative risk (RR) with 95% confidence interval (95% CI) was used to evaluate the association between the use of antidepressants and the risk of dementia and MCI. Meta-analysis was used for combining the effect sizes of individual studies, and the heterogeneity test was performed. Risk of bias and reporting quality of included studies was assessed. Subgroup analyses were conducted for different types of antidepressants. RESULTS A total of 18 studies with 2,119,627 participants with mean age ranging from 55 to 81 years were included. Among patients with depression, antidepressant users showed a significantly higher risk of dementia (RR = 1.37, 95% CI = 1.11-1.70) and MCI (RR = 1.20, 95% CI = 1.02-1.42) than the nonusers. Besides, patients with depression who used antidepressants and who did not use antidepressants also showed significantly higher risk of dementia than the general population (RR = 1.50, 95% CI = 1.26-1.78, and RR = 1.31, 95% CI = 1.15-1.51, respectively). CONCLUSIONS/IMPLICATIONS Patients with depression are associated with a higher risk of dementia, and the use of antidepressants is not shown to be a protective factor of dementia. Further large-scale trials are required for investigation of the benefit-risk ratio between depression relapse and dementia when prescribing antidepressants.
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Affiliation(s)
- Joyce Y C Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Karen K L Yiu
- Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong
| | - Timothy C Y Kwok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Samuel Y S Wong
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Kelvin K F Tsoi
- Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong; Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong.
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