1
|
Matsuoka T, Ismail Z, Imai A, Shibata K, Nakamura K, Nishimura Y, Rubinstein E, Uchida H, Mimura M, Narumoto J. Relationship between Loneliness and Mild Behavioral Impairment: Validation of the Japanese Version of the MBI Checklist and a Cross-Sectional Study. J Alzheimers Dis 2024; 97:1951-1960. [PMID: 38306041 PMCID: PMC10894585 DOI: 10.3233/jad-230923] [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] [Accepted: 12/20/2023] [Indexed: 02/03/2024]
Abstract
Background Mild behavioral impairment (MBI) and loneliness are associated with cognitive decline and an increased risk of dementia. Objective Our aim was to examine the validity of the Japanese version of the MBI checklist (MBI-C) and investigate the relationship between loneliness and MBI. Methods The participants in this cross-sectional study included 5 cognitively normal persons and 75 persons with mild cognitive impairment. MBI-C and the revised University of California at Los Angeles loneliness scale (LS) were used to assess MBI and loneliness, respectively. Diagnostic performance of MBI-C was examined using receiver operating characteristic analysis. The relationship between MBI-C and LS was examined using multiple linear regression in 67 subjects who were assessed with both scales, with MBI-C total or domain score as the dependent variable and LS as the independent variable, adjusted for age, gender, living situation, presence of visual and hearing impairment, and Mini-Mental State Examination score. Results Per the Youden index, in this mostly MCI sample, the optimal MBI-C cut-off score was 5.5 with sensitivity 0.917 and specificity 0.949. In multiple linear regression analysis, LS score was detected as a significant predictor of MBI-C total scores, and MBI-C decreased motivation, affective dysregulation, and abnormal thought and perception scores. Conclusions The caregiver-rated Japanese MBI-C has excellent diagnostic performance. Loneliness is associated with a greater MBI burden, especially in the decreased motivation, affective dysregulation, and abnormal thought and perception domains. Interventions for loneliness in older people may have the potential to improve MBI.
Collapse
Affiliation(s)
- Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Psychiatry, NHO Maizuru Medical Center, Maizuru, Japan
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, Hotchkiss Brain Institute and O’BrienInstitute for Public Health, University of Calgary, Calgary, Canada
- NIHR Exeter Biomedical Research Centre, University of Exeter, UK
| | - Ayu Imai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Keisuke Shibata
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kaeko Nakamura
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yukihide Nishimura
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Ellen Rubinstein
- Department of Sociology and Anthropology, North Dakota State University, Fargo, ND, USA
| | - Hiroyuki Uchida
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| |
Collapse
|
2
|
Ebrahim IM, Ghahremani M, Camicioli R, Smith EE, Ismail Z. Effects of race, baseline cognition, and APOE on the association of affective dysregulation with incident dementia: A longitudinal study of dementia-free older adults. J Affect Disord 2023; 332:9-18. [PMID: 36997127 DOI: 10.1016/j.jad.2023.03.074] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/10/2023] [Accepted: 03/24/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND Affective symptoms are dementia risk factors. Mild behavioral impairment (MBI) is a neurobehavioral syndrome that refines incorporation of psychiatric symptomatology into dementia prognostication by stipulating symptoms must emerge de novo in later life and persist for ≥6 months. Here, we investigated the longitudinal association of MBI-affective dysregulation with incident dementia. METHODS National Alzheimer Coordinating Centre participants with normal cognition (NC) or mild cognitive impairment (MCI) were included. MBI-affective dysregulation was operationalized as Neuropsychiatric Inventory Questionnaire-measured depression, anxiety, and elation at two consecutive visits. Comparators had no neuropsychiatric symptoms (no NPS) in advance of dementia. Cox proportional hazard models were implemented to assess the risk of dementia, adjusted for age, sex, years of education, race, cognitive diagnosis, and APOE-ε4 status, with interaction terms as appropriate. RESULTS The final sample included 3698 no-NPS (age:72.8; 62.7 % female), and 1286 MBI-affective dysregulation participants (age:75; 54.5 % female). MBI-affective dysregulation had lower dementia-free survival (p < 0.0001) and greater incidence of dementia (HR = 1.76, CI:1.48-2.08, p < 0.001) versus no NPS. Interaction analyses revealed that MBI-affective dysregulation was associated with higher dementia incidence in Black participants than White (HR = 1.70, CI:1.00-2.87, p = 0.046), NC than MCI (HR = 1.73, CI:1.21-2.48, p = 0.0028), and APOE-ε4 noncarriers than carriers (HR = 1.47, CI:1.06-2.02, p = 0.0195). Of MBI-affective dysregulation converters to dementia, 85.5 % developed Alzheimer's disease, which increased to 91.4 % in those with amnestic MCI. LIMITATIONS MBI-affective dysregulation was not stratified by symptom to further examine dementia risk. CONCLUSIONS Emergent and persistent affective dysregulation in dementia-free older adults is associated with substantial risk for dementia and should be considered in clinical assessments.
Collapse
Affiliation(s)
- Inaara M Ebrahim
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Maryam Ghahremani
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada; Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada
| | - Richard Camicioli
- Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Canada
| | - Eric E Smith
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada; Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Canada; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada; Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada; Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada; Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Canada; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada; Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada; School of Medicine and Health, University of Exeter, Exeter, UK.
| |
Collapse
|
3
|
Jin P, Xu J, Liao Z, Zhang Y, Wang Y, Sun W, Yu E. A review of current evidence for mild behavioral impairment as an early potential novel marker of Alzheimer's disease. Front Psychiatry 2023; 14:1099333. [PMID: 37293396 PMCID: PMC10246741 DOI: 10.3389/fpsyt.2023.1099333] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/31/2023] [Indexed: 06/10/2023] Open
Abstract
Mild behavioral impairment (MBI) is a neurobehavioral syndrome that occurs in the absence of cognitive impairment later in life (≥50 years of age). MBI is widespread in the pre-dementia stage and is closely associated with the progression of cognitive impairment, reflecting the neurobehavioral axis of pre-dementia risk states and complementing the traditional neurocognitive axis. Despite being the most common type of dementia, Alzheimer's disease (AD) does not yet have an effective treatment; therefore, early recognition and intervention are crucial. The Mild Behavioral Impairment Checklist is an effective tool for identifying MBI cases and helps identify people at risk of developing dementia. However, because the concept of MBI is still quite new, the overall understanding of it is relatively insufficient, especially in AD. Therefore, this review examines the current evidence from cognitive function, neuroimaging, and neuropathology that suggests the potential use of MBI as a risk indicator in preclinical AD.
Collapse
Affiliation(s)
- Piaopiao Jin
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jiaxi Xu
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhengluan Liao
- Department of Geriatric VIP No. 3 (Department of Clinical Psychology), Rehabilitation Medicine Center, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China
| | - Yuhan Zhang
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Ye Wang
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Wangdi Sun
- Department of Psychiatry, Zhejiang Hospital, Hangzhou, China
| | - Enyan Yu
- Department of Psychiatry, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| |
Collapse
|
4
|
Palermo S, Stanziano M, Nigri A, Civilotti C, Celeghin A. Parkinson's Disease, SARS-CoV-2, and Frailty: Is There a Vicious Cycle Related to Hypovitaminosis D? Brain Sci 2023; 13:brainsci13040528. [PMID: 37190492 DOI: 10.3390/brainsci13040528] [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: 02/27/2023] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 05/17/2023] Open
Abstract
The literature has long established the association between aging and frailty, with emerging evidence pointing to a relationship between frailty and SARS-CoV-2 contagion. The possible neurological consequences of SARS-CoV-2 infection, associated with physical and cognitive frailty, could lead to a worsening of Parkinson's disease (PD) in infected patients or-more rarely-to an increase in the Parkinsonian symptomatology. A possible link between those clinical pictures could be identified in vitamin D deficiency, while the whole process would appear to be associated with alterations in the microbiota-intestine-brain axis that fall within the α-Synuclein Origin site and Connectome (SOC) model, and allow for the identification of a body-first PD and a brain-first PD. The model of care for this condition must consider intrinsic and extrinsic variables so that care by a multidisciplinary team can be successfully predicted. A multidimensional screening protocol specifically designed to identify people at risk or in the early stages of the disease should begin with the investigation of indices of frailty and microbiota-intestine-brain axis alterations, with a new focus on cases of hypovitaminosis D.
Collapse
Affiliation(s)
- Sara Palermo
- Department of Psychology, University of Turin, 10124 Turin, Italy
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Mario Stanziano
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Neurologico Carlo Besta, 20133 Milan, Italy
- Neurosciences Department "Rita Levi Montalcini", University of Turin, 10126 Turin, Italy
| | - Anna Nigri
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | | | - Alessia Celeghin
- Department of Psychology, University of Turin, 10124 Turin, Italy
| |
Collapse
|
5
|
Matsuoka T, Imai A, Narumoto J. Neuroimaging of mild behavioral impairment: A systematic review. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2023; 2:e81. [PMID: 38868411 PMCID: PMC11114318 DOI: 10.1002/pcn5.81] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 01/30/2023] [Indexed: 06/14/2024]
Abstract
There are many neuroimaging studies of mild behavioral impairment (MBI), but the results have been somewhat inconsistent. Moreover, it remains unclear whether MBI is a risk factor or prodromal symptom of dementia. Therefore, a systematic review was conducted to summarize the results of neuroimaging studies of MBI and consider whether MBI is a prodromal symptom of dementia in terms of its neural correlates. A systematic review supported by a JSPS Grant-in-Aid for Scientific Research (C) was conducted using MBI neuroimaging studies identified using PubMed, PsycINFO, CINAHL, and Google Scholar on November 1, 2022. The inclusion criteria were (i) neuroimaging study; (ii) research on human subjects; (iii) papers written in English; and (iv) not a case study, review, book, comments, or abstract only. Joanna Briggs Institute critical appraisal checklists were used to assess the quality of selected studies, and 23 structural and functional imaging studies were ultimately included in the systematic review. The structural studies suggested an association of MBI with atrophy in the hippocampus, parahippocampal gyrus, entorhinal cortex, and temporal lobe, whereas the functional studies indicated involvement of an altered default mode network, frontoparietal control network, and salience network in MBI. A limitation in many studies was the use of region-of-interest analysis. The brain areas detected as neural correlates of MBI are considered to be alterations in the early stage of each dementia. Therefore, MBI may emerge against a background of pathological changes in dementia.
Collapse
Affiliation(s)
- Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
| | - Ayu Imai
- Department of Psychiatry, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
| |
Collapse
|
6
|
Ruthirakuhan M, Ismail Z, Herrmann N, Gallagher D, Lanctot KL. Mild behavioral impairment is associated with progression to Alzheimer's disease: A clinicopathological study. Alzheimers Dement 2022; 18:2199-2208. [PMID: 35103400 PMCID: PMC9339594 DOI: 10.1002/alz.12519] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Mild behavioral impairment (MBI) is characterized by later-life emergence of neuropsychiatric symptoms. Investigating its relationship with progression to Alzheimer's disease (AD) would provide insight on its importance as a predictor of AD. METHODS Cognitively normal participants (N = 11,372) from the National Alzheimer's Coordinating Center were stratified by MBI status, using the Neuropsychiatric Inventory-Questionnaire. We investigated whether MBI and its domains were predictors of progression to clinically-diagnosed AD. MBI as a predictor of progression to neuropathology-confirmed AD was also investigated in those with neuropathological data. RESULTS Six percent (N = 671) of participants progressed to AD. MBI (N = 2765) was a significant predictor of progression to clinically-diagnosed (hazard ratio [HR] = 1.75) and neuropathology-confirmed AD (HR = 1.59). MBI domains were also associated with clinically-diagnosed AD, with psychosis having the greatest effect (HR = 6.49). DISCUSSION These findings support the biological underpinnings of MBI, emphasizing the importance of later life behavioral changes in dementia detection and prognostication.
Collapse
Affiliation(s)
- Myuri Ruthirakuhan
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, Hotchkiss Brain Institute and O’Brien Institute for Public Health University of Calgary, Calgary, Canada
| | - Nathan Herrmann
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Damien Gallagher
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Krista L. Lanctot
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| |
Collapse
|
7
|
Kishino Y, Sugimoto T, Kimura A, Kuroda Y, Uchida K, Matsumoto N, Saji N, Niida S, Sakurai T. Longitudinal association between nutritional status and behavioral and psychological symptoms of dementia in older women with mild cognitive impairment and early-stage Alzheimer’s disease. Clin Nutr 2022; 41:1906-1912. [DOI: 10.1016/j.clnu.2022.06.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 06/22/2022] [Accepted: 06/24/2022] [Indexed: 11/29/2022]
|
8
|
Govoni S, Fagiani F, Lanni C, Allegri N. The Frailty Puzzle: Searching for Immortality or for Knowledge Survival? Front Cell Neurosci 2022; 16:838447. [PMID: 35250489 PMCID: PMC8891148 DOI: 10.3389/fncel.2022.838447] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 01/25/2022] [Indexed: 12/18/2022] Open
Abstract
What is the value of assessing the biological age and frailty and predicting residual lifespan and health status? The benefit is obvious if we have means to alter the pace of aging and the development of frailty. So far, limited but increasing examples of interventions altering the predicted status indicate that, at least in some cases, this is possible through interventions spanning from the economic-social through drug treatments. Thus, why searching for biological markers, when some clinical and socio-economic indicators do already provide sufficiently accurate predictions? Indeed, the search of frailty biomarkers and of their biological clocks helps to build up a mechanistic frame that may orientate the design of interventions and the time window of their efficacy. Among the candidate biomarkers identified, several studies converge to indicate epigenetic clocks as a promising sensitive biomarker of the aging process. Moreover, it will help to establish the relationship between personal aging and health trajectories and to individuate the check points beyond which biological changes are irreversible.
Collapse
Affiliation(s)
- Stefano Govoni
- Department of Drug Sciences (Pharmacology Section), University of Pavia, Pavia, Italy
- CEFAT (Center of Pharmaceuticals Economics and Medical Technologies Evaluation), University of Pavia, Pavia, Italy
| | - Francesca Fagiani
- Department of Drug Sciences (Pharmacology Section), University of Pavia, Pavia, Italy
| | - Cristina Lanni
- Department of Drug Sciences (Pharmacology Section), University of Pavia, Pavia, Italy
| | - Nicola Allegri
- CEFAT (Center of Pharmaceuticals Economics and Medical Technologies Evaluation), University of Pavia, Pavia, Italy
| |
Collapse
|
9
|
Apathy as a Treatment Target in Alzheimer's Disease: Implications for Clinical Trials. Am J Geriatr Psychiatry 2022; 30:119-147. [PMID: 34315645 DOI: 10.1016/j.jagp.2021.06.016] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/25/2021] [Accepted: 06/25/2021] [Indexed: 12/11/2022]
Abstract
Apathy is one of the most prevalent, stable and persistent neuropsychiatric symptom across the neurocognitive disorders spectrum. Recent advances in understanding of phenomenology, neurobiology and intervention trials highlight apathy as an important target for clinical intervention. We conducted a comprehensive review and critical evaluation of recent advances to determine the evidence-based suggestions for future trial designs. This review focused on 4 key areas: 1) pre-dementia states; 2) assessment; 3) mechanisms/biomarkers and 4) treatment/intervention efficacy. Considerable progress has been made in understanding apathy as a treatment target and appreciating pharmacological and non-pharmacological apathy treatment interventions. Areas requiring greater investigation include: diagnostic procedures, symptom measurement, understanding the biological mechanisms/biomarkers of apathy, and a well-formed approach to the development of treatment strategies. A better understanding of the subdomains and biological mechanisms of apathy will advance apathy as a treatment target for clinical trials.
Collapse
|
10
|
Creese B, Ismail Z. Mild behavioral impairment: measurement and clinical correlates of a novel marker of preclinical Alzheimer's disease. Alzheimers Res Ther 2022; 14:2. [PMID: 34986891 PMCID: PMC8734161 DOI: 10.1186/s13195-021-00949-7] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/14/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND Late-life onset neuropsychiatric symptoms are established risk factors for dementia. The mild behavioral impairment (MBI) diagnostic framework was designed to standardize assessment to determine dementia risk better. In this Mini Review, we summarize the emerging clinical and biomarker evidence, which suggests that for some, MBI is a marker of preclinical Alzheimer's disease. MAIN: MBI is generally more common in those with greater cognitive impairment. In community and clinical samples, frequency is around 10-15%. Mounting evidence in cognitively normal samples links MBI symptoms with known AD biomarkers for amyloid, tau, and neurodegeneration, as well as AD risk genes. Clinical studies have found detectable differences in cognition associated with MBI in cognitively unimpaired people. CONCLUSION The emerging evidence from biomarker and clinical studies suggests MBI can be an early manifestation of underlying neurodegenerative disease. Future research must now further validate MBI to improve identification of those at the very earliest stages of disease.
Collapse
Affiliation(s)
- Byron Creese
- Medical School, College of Medicine and Health, University of Exeter, Exeter, UK.
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, Community Health Sciences, and Pathology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| |
Collapse
|
11
|
Pan Y, Shea YF, Ismail Z, Mak HKF, Chiu PKC, Chu LW, Song YQ. Prevalence of mild behavioural impairment domains: a meta-analysis. Psychogeriatrics 2022; 22:84-98. [PMID: 34729865 DOI: 10.1111/psyg.12782] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/10/2021] [Accepted: 10/18/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Mild behavioural impairment (MBI) is a neurobehavioural syndrome characterised by later life emergence of persistent neuropsychiatric symptoms. Our previous meta-analysis showed that MBI is prevalent among cognitively normal (CN), subjective cognitive impairment (SCI) and mild cognitive impairment (MCI) subjects. This study is to calculate the pooled prevalence of MBI domains among CN, SCI, and MCI subjects. METHODS A search of relevant literature published between 1 January 2003 and 6 August 2021 was conducted. Meta-analysis using a random effects model and meta-regression was performed. RESULTS Ten studies conducted among 12 067 subjects (9758 CN, 1057 SCI and 1252 MCI) with retrievable MBI domains data underwent meta-analysis, revealing pooled prevalence of affective dysregulation (AFD), impulse dyscontrol (IDS), decreased motivation (DMT), social inappropriateness (SIP) and abnormal perception/thought (APT) of 32.84% (95% CI 24.44-42.5%), 26.67% (95% CI 18.24-37.23%), 12.58% (95% CI 6.93-21.75%), 6.05% (95% CI 3.44-10.42%), and 2.81% (95% CI 1.67-4.69%) respectively. AFD and APT domains demonstrated ordinal increase in pooled prevalence from CN, SCI and MCI subgroups, but meta-regression demonstrated no significant difference in MBI domains prevalence among cognitive subgroups (in contrast to the significant increase in MBI prevalence from CN to SCI to MCI). The pooled prevalence of AFD and IDS are greater than that of DMT, SIP and APT among all cognitive subgroups. Several variables were found to explain the high heterogeneity. CONCLUSIONS AFD and IDS are the two most prevalent MBI domains and remain the same with cognitive deterioration. This finding is potentially relevant to clinical practice.
Collapse
Affiliation(s)
- Yining Pan
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yat-Fung Shea
- Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
| | - Zahinoor Ismail
- Departments of Psychiatry and Clinical Neurosciences, Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Henry Ka-Fung Mak
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China
| | - Patrick Ka-Chun Chiu
- Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
| | - Leung-Wing Chu
- Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
| | - You-Qiang Song
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| |
Collapse
|
12
|
Tetsuka S. Depression and Dementia in Older Adults: A Neuropsychological Review. Aging Dis 2021; 12:1920-1934. [PMID: 34881077 PMCID: PMC8612610 DOI: 10.14336/ad.2021.0526] [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] [Received: 04/14/2021] [Accepted: 05/26/2021] [Indexed: 01/23/2023] Open
Abstract
Depression and dementia are the most common neuropsychiatric disorders in the older adult population. There are a certain number of depressed patients who visit outpatient clinics because they suspect dementia due to similarities in the clinical symptoms in both disorders. Depressive symptoms associated with dementia may be diagnosed with depression, and treatment with antidepressants is continued for a long time. Depression and dementia differ in their treatment approaches and subsequent courses, and it is necessary to carefully differentiate between the two in the clinical practice of dementia treatment. In this review, I describe the similarities between depression and dementia and how to differentiate depression in dementia treatment based on the differences and emphasize that there is a significant potential to cure depression, in contrast to dementia, for which there is currently no fundamental therapy. Therefore, it is important to recognize that depression and dementia may present with common symptoms and to appropriately differentiate depressed patients who are suspected of having dementia. Dementia is a disorder in which cognitive dysfunction is caused by a variety of causative diseases and conditions, resulting in impairment of activities of daily living. However, current medical science has had difficulty finding a cure for the causative disease. Based on clinical findings, it has also been shown that the degree of symptoms for preexisting psychiatric disorders is alleviated as the brain ages. In the presence of dementia, the speed of the alleviation will increase. The importance of focusing on the positive aspects of aging is also discussed.
Collapse
Affiliation(s)
- Syuichi Tetsuka
- Department of Neurology, International University of Health and Welfare Hospital, Nasushiobara, Tochigi, 329-2763, Japan
| |
Collapse
|
13
|
Yuan L, Zhang X, Guo N, Li Z, Lv D, Wang H, Jin J, Wen X, Zhao S, Xu T, Jiao J, Wu X. Prevalence of cognitive impairment in Chinese older inpatients and its relationship with 1-year adverse health outcomes: a multi-center cohort study. BMC Geriatr 2021; 21:595. [PMID: 34696723 PMCID: PMC8543818 DOI: 10.1186/s12877-021-02556-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 10/12/2021] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Previous studies on the relationship between cognitive impairment and adverse outcomes among geriatric inpatients are not representative of older inpatients in China because of insufficient sample sizes or single-center study designs. The purpose of our study was to examine the prevalence of cognitive impairment and the relationship between cognitive impairment and 1-year adverse health outcomes in older inpatients. METHODS This study was a large-scale multi-center cohort study conducted from October 2018 to February 2020. Six tertiary hospitals across China were selected using a two-stage cluster sampling method, and eligible older inpatients were selected for the baseline survey and follow-up. The Mini Cognitive Scale and the FRAIL scale were used to screen for cognitive impairment and frailty, respectively. The EuroQol-5 Dimension-5 Level questionnaire was used to assess health-related quality of life (HRQoL). We used a generalized estimating model to evaluate the relationship between cognitive impairment and adverse outcomes. RESULTS The study included 5008 men (58.02%) and 3623 women (41.98%), and 70.64% were aged 65-75 years, and 26.27% were aged 75-85 years. Cognitive impairment was observed in 1756 patients (20.35%). There were significant differences between participants with cognitive impairment and those with normal cognitive function for age, gender, surgery status, frailty, depression, handgrip strength and so on. After adjusting for multiple covariates, compared with patients with normal cognitive function, the odds ratio for 1-year mortality was 1.216 (95% confidence interval [CI]: 1.076-1.375) and for 1-year incidence of frailty was 1.195 (95% CI: 1.037-1.376) in patients with cognitive impairment. Similarly, the regression coefficient of 1-year HRQoL was - 0.013 (95% CI: - 0.024-- 0.002). In the stratified analysis, risk of adverse outcome within 1 year was higher in older patients with cognitive impairment aged over 75 years than those aged 65-74 years. CONCLUSIONS We revealed that cognitive impairment was highly correlated with occurrence of 1-year adverse health outcomes (death, frailty, and decreased HRQoL) in older inpatients, which provides a basis for formulating effective intervention measures. TRIAL REGISTRATION Chinese Clinical Trial Registry, ChiCTR1800017682 , registered 09 August 2018.
Collapse
Affiliation(s)
- Li Yuan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dongdan Santiao, Beijing, 100005, China
| | - Xiaoming Zhang
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Na Guo
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Zhen Li
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Dongmei Lv
- Department of Nursing, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hui Wang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingfen Jin
- Department of Nursing, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Xianxiu Wen
- Department of Nursing, Sichuan Provincial People's Hospital, Chengdu, China
| | - Shengxiu Zhao
- Department of Nursing, Qinghai Provincial People's Hospital, Xining, China
| | - Tao Xu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dongdan Santiao, Beijing, 100005, China.
| | - Jing Jiao
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China.
| | - Xinjuan Wu
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China.
| |
Collapse
|
14
|
Xu L, Li T, Xiong L, Wang X, Ismail Z, Fukuda M, Sun Z, Wang J, Gauthier S, Yu X, Wang H. Reliability and Validity of the Chinese Version of Mild Behavioral Impairment Checklist in Mild Cognitive Impairment and Mild Alzheimer's Disease. J Alzheimers Dis 2021; 81:1141-1149. [PMID: 33935092 DOI: 10.3233/jad-210098] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Mild behavioral impairment (MBI) has been proposed as an early manifestation of dementia. The Mild Behavioral Impairment Checklist (MBI-C) may help identify MBI in prodromal and preclinical dementia. OBJECTIVE The study aimed to evaluate the reliability and validity of the Chinese version of MBI-C in mild cognitive impairment (MCI) and mild Alzheimer's disease (AD), and to explore the structure of the five factors of the MBI-C in Chinese culture. METHODS Sixty dyads of MCI and mild AD (MCI, n = 33; mild AD, n = 35) were recruited. The informants completed the MBI-C and Neuropsychiatric Inventory Questionnaire (NPI-Q) and were interviewed for clinician rating of the NPI. The Cronbach's coefficient was used to measure the structural reliability of the MBI-C. The criterion-validity was evaluated with the correlation coefficient between the MBI-C and the total scores of NPI-Q and NPI. Exploratory factor analysis was conducted to investigate the structure of the MBI-C. RESULTS The Cronbach's α coefficient was 0.895. The MBI-C total score was positively correlated with all five domains (r = 0.577∼0.840). The total score of MBI-C was significantly correlated with the total scores of NPI-Q (r = 0.714) and NPI (r = 0.749). Similarly, the five domain scores of MBI-C were significantly correlated with the factor and total scores of NPI-Q (r = 0.312∼0.673) and NPI (r = 0.389∼0.673). The components of each factor in Chinese version of MBI-C were slightly different from those of the a priori defined domains (χ2 = 1818.202, df = 496, p < 0.001). CONCLUSION The Chinese version of MBI-C has good reliability and validity, and can be used to evaluate the psychological and behavioral changes in MCI and mild AD.
Collapse
Affiliation(s)
- Lujie Xu
- School of Mental Health, Wenzhou Medical University, Wenzhou, China.,Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| | - Tao Li
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| | - Lingchuan Xiong
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| | - Xiao Wang
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| | - Zahinoor Ismail
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Canada
| | - Masami Fukuda
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| | - Zhiyu Sun
- School of Mental Health, Wenzhou Medical University, Wenzhou, China.,Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| | - Jing Wang
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| | - Serge Gauthier
- McGill Center for Studies in Aging; Douglas Mental Health Research Institute; McGill University, Montreal, Canada
| | - Xin Yu
- School of Mental Health, Wenzhou Medical University, Wenzhou, China.,Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| | - Huali Wang
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Beijing, China
| |
Collapse
|
15
|
Soo SA, Ng KP, Wong F, Saffari SE, Yatawara C, Ismail Z, Kandiah N. The Association Between Diabetes Mellitus and Mild Behavioral Impairment Among Mild Cognitive Impairment: Findings from Singapore. J Alzheimers Dis 2021; 82:411-420. [PMID: 34024829 DOI: 10.3233/jad-210037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Mild behavioral impairment (MBI) describes persistent behavioral changes in later life as an at-risk state for dementia. While cardiovascular risk factors (CVRFs) are linked to dementia, it is uncertain how CVRFs are associated with MBI. OBJECTIVE To determine the prevalence of MBI and its association with CVRFs among cognitively normal (CN) and mild cognitive impairment (MCI) individuals in Singapore. METHODS 172 individuals (79 CN and 93 MCI) completed the MBI-checklist (MBI-C). The prevalence of MBI and MBI-C sub-domain characteristics among CN and MCI were examined. Regression models evaluated the relationships between MBI-C sub-domain scores with CVRFs. RESULTS The prevalence of MBI and mean MBI-C total score were significantly higher among MCI than CN (34.4%versus 20.3%, p = 0.022 and 7.01 versus 4.12, p = 0.04). The highest and lowest-rated sub-domains among CN and MCI were impulse dyscontrol and abnormal thoughts and perception respectively. Within the MCI cohort, a higher proportion of individuals with diabetes mellitus (DM) had MBI compared to individuals without DM (28.1%versus 10.4%, p = 0.025). The interaction of DM and MCI cohort resulted in significantly higher mean MBI-C total, decreased motivation, emotional dysregulation, impulse dyscontrol, and abnormal thoughts and perception sub-domain scores. CONCLUSION The prevalence of MBI is higher among a Singapore cohort compared to Caucasian cohorts. The associations of DM with both the presence and severity of MBI among MCI suggest that DM may be a risk factor for MBI. The optimization of DM may be a potential therapeutic approach to improve clinical outcomes among MCI with MBI.
Collapse
Affiliation(s)
- See Ann Soo
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Kok Pin Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore.,Lee Kong Chian School of Medicine, Imperial College London, Nanyang Technological University, Singapore, Singapore
| | - Fennie Wong
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Seyed Ehsan Saffari
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Center for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
| | - Chathuri Yatawara
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Zahinoor Ismail
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, University of Calgary, AB, Canada
| | - Nagaendran Kandiah
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore.,Lee Kong Chian School of Medicine, Imperial College London, Nanyang Technological University, Singapore, Singapore
| |
Collapse
|
16
|
Miao R, Chen HY, Robert P, Smith EE, Ismail Z. White matter hyperintensities and mild behavioral impairment: Findings from the MEMENTO cohort study. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2021; 2:100028. [PMID: 36324720 PMCID: PMC9616384 DOI: 10.1016/j.cccb.2021.100028] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/24/2021] [Accepted: 09/11/2021] [Indexed: 11/16/2022]
Abstract
In this MCI sample, mild behavioral impairment is associated with greater WMH volume. MBI may be more sensitive to WMH than MMSE-measured global cognition. Global assessment of MBI outperforms individual MBI domains at detecting WMH.
Background White matter hyperintensities (WMH) contribute to cognitive decline and increase risk for dementia. Mild behavioral impairment (MBI) is a neurobehavioral syndrome characterized by the emergence and persistence of neuropsychiatric symptoms (NPS) in later life as an at-risk state for incident cognitive decline and dementia. Both WMH and MBI are common in patients with mild cognitive impairment (MCI), but few studies have established the link between these two risk markers in this population. Methods Participants were memory clinic patients with MCI from the French MEMENTO study. WMH volume was quantified using brain magnetic resonance imaging. Participants were categorized into MBI+ and MBI- status based on NPS persistence, and the association between MBI status and domains with WMH volume was assessed with linear regression. Results A total of 768 participants [mean age 72.8 (SD=8.00); 57% female] were included. MBI (i.e., persistent NPS) was present in 229 participants (29.8%). MBI+ status was significantly associated with lower MMSE score and male sex. Compared to MBI-, MBI+ status was associated with 9.4% higher WMH volume [p = 0.01 (95% CI 2.0% to 16.7%)]. In this model, MMSE score was not associated with WMH volume. None of the MBI domains individually predicted greater WMH volume, although emotional dysregulation, impulse dyscontrol, and apathy trended towards significance. Conclusions In a memory clinic sample of older adults with MCI, MBI was associated with higher WMH volume. Global MBI status outperformed MMSE and individual MBI domains, supporting the utility of MBI, a multi-NPS-domain composite assessment, for predicting WMH volume.
Collapse
Affiliation(s)
- Ruxin Miao
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Hung-Yu Chen
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Philippe Robert
- Clinique Gériatrique du Cerveau et du Mouvement, CMRR, CHU, COBTEK lab Université Côte d’Azur, Nice France
| | - Eric E. Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Corresponding author at: 3280 Hospital Drive NW, TRW Building 1st Floor Calgary, AB, T2N 4Z6, Canada.
| | | |
Collapse
|