1
|
Ferreira DA, Macedo LBC, Foss MP. Neuropsychiatric symptoms as a prodromal factor in Alzheimer's type neurodegenerative disease: A scoping review. Clin Neuropsychol 2024; 38:1031-1059. [PMID: 37881945 DOI: 10.1080/13854046.2023.2273574] [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] [Received: 05/21/2023] [Accepted: 10/16/2023] [Indexed: 10/27/2023]
Abstract
Objective: Identifying neuropsychiatric symptoms (NPS) can aid in the early detection of Alzheimer's disease (AD); however, there is still a need for a greater consensus. This review aims to delineate the predominant NPS, compile a comprehensive list of the most commonly employed NPS assessment tools, and corroborate the principal findings regarding the link between NPS and neuropsychological assessment and neurobiological substrates. Methods: To conduct this scoping review, we followed the Preferred Reporting Items for Systematic Reviews guidelines and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). We searched for relevant articles published between 2017 and 2023 in MEDLINE, PsycINFO, PubMed, Web of Science, and Cochrane Library. Results: Of the 61 eligible articles, depression, anxiety, and apathy were the main NPSs. The Neuropsychiatric Inventory Questionnaire and Neuropsychiatric Inventory were the primary assessment tools used to evaluate NPS. Correlations between NPS severity and neurobiological markers were considered clinically significant. Furthermore, clinical procedures prioritized the use of global cognitive screening tools, assessments of executive functions, and functionality evaluations. Conclusion: Standardization of procedures is necessary because of the diversity of methods. The data show that NPS can predict the etiology, severity, form, and type of disease progression, serving as a precursor sign of AD. The results of the most common cognitive screening tools and NPS instruments provided an interesting overview of future clinical approaches.
Collapse
Affiliation(s)
- Diego Alves Ferreira
- Department of Neuroscience and Behavior Science, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Lorena Barbosa Cunha Macedo
- Faculty of Philosophy, Sciences, and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Maria Paula Foss
- Department of Neuroscience and Behavior Science, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
- Faculty of Philosophy, Sciences, and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| |
Collapse
|
2
|
Li S, Xiao Z. Recent Research Progress on the Use of Transcranial Magnetic Stimulation in the Treatment of Vascular Cognitive Impairment. Neuropsychiatr Dis Treat 2024; 20:1235-1246. [PMID: 38883416 PMCID: PMC11179638 DOI: 10.2147/ndt.s467357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 06/01/2024] [Indexed: 06/18/2024] Open
Abstract
Vascular Cognitive Impairment (VCI) is a condition where problems with brain blood vessels lead to a decline in cognitive abilities, commonly affecting the elderly and placing a significant burden on both patients and their families. Compared to medication and surgery, Transcranial Magnetic Stimulation (TMS) is a non-invasive treatment option with fewer risks and side effects, making it particularly suitable for elderly patients. TMS not only assesses the excitability and plasticity of the cerebral cortex, but its effectiveness in treating Vascular Cognitive Impairment (VCI) and its subtypes has also been validated in numerous clinical trials worldwide. However, there is still a lack of review on the physiological mechanisms of TMS treatment for VCI and its specific clinical application parameters. Therefore, this article initially provided a brief overview of the risk factors, pathological mechanisms, and classification of VCI. Next, the article explained the potential physiological mechanisms of TMS in treating VCI, particularly its role in promoting synaptic plasticity, regulating neurotransmitter balance, and improving the function of the default mode network. Additionally, The article also summarizes the application of rTMS in treating VCI and its subtypes, VCI-related sleep disorders, and the use of TMS in follow-up studies of VCI patients, providing empirical evidence for the clinical application of TMS and rTMS technologies.
Collapse
Affiliation(s)
- Sijing Li
- Department of Neurology, Multi-Omics Research Center for Brain Disorders, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People's Republic of China
- Clinical Research Center for Immune‑Related Encephalopathy of Hunan Province (The First Affiliated Hospital), Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People's Republic of China
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China
| | - Zijian Xiao
- Department of Neurology, Multi-Omics Research Center for Brain Disorders, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People's Republic of China
- Clinical Research Center for Immune‑Related Encephalopathy of Hunan Province (The First Affiliated Hospital), Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People's Republic of China
| |
Collapse
|
3
|
Jang H, Na DL, Kwon JC, Jung NY, Moon Y, Lee JS, Park KW, Lee AY, Cho H, Lee JH, Kim BC, Park KH, Lee BC, Choi H, Kim J, Park MY. A Two-Year Observational Study to Evaluate Conversion Rates from High- and Low-Risk Patients with Amnestic Mild Cognitive Impairment to Probable Alzheimer's Disease in a Real-World Setting. J Alzheimers Dis Rep 2024; 8:851-862. [PMID: 38910942 PMCID: PMC11191635 DOI: 10.3233/adr-230189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/20/2024] [Indexed: 06/25/2024] Open
Abstract
Background Predicting conversion to probable Alzheimer&s disease (AD) from amnestic mild cognitive impairment (aMCI) is difficult but important. A nomogram was developed previously for determining the risk of 3-year probable AD conversion in aMCI. Objective To compare the probable AD conversion rates with cognitive and neurodegenerative changes for 2 years from high- and low risk aMCI groups classified using the nomogram. Methods This prospective, multicenter, observational study was conducted in Korea. A total of patients were classified as high- or low-risk aMCI according to the nomogram and followed-up for 2 years to compare the annual conversion rate to probable AD and brain structure changes between the two groups. Results In total, 176 (high-risk, 85; low-risk, 91) and 160 (high-risk, 77; low-risk, 83) patients completed the 1-year and 2-year follow-up, respectively. The probable AD conversion rate was significantly higher in the high-risk (Year 1, 28.9%; Year 2, 46.1%) versus low-risk group (Year 1, 0.0%; Year 2, 4.9%, both p < 0.0001). Mean changes from baseline in Seoul Neuropsychological Screening Battery-Dementia Version, Clinical Dementia Rating-Sum of Box, and Korean version of the Instrumental Activities of Daily Living scores and cortical atrophy index at Years 1 and 2 were significantly greater in the high-risk group (p < 0.0001). Conclusions The high-risk aMCI group, as determined by the nomogram, had a higher conversion rate to probable AD and faster cognitive decline and neurodegeneration change than the low-risk group. These real-world results have clinical implications that help clinicians in accurately predicting patient outcomes and facilitating early decision-making.Trial Registration: ClinicalTrials.gov (NCT03448445).
Collapse
Affiliation(s)
- Hyemin Jang
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Duk L. Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jay Cheol Kwon
- Department of Neurology, Changwon Fatima Hospital, Changwon, Republic of Korea
| | - Na-Yeon Jung
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Yeonsil Moon
- Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Jung Seok Lee
- Department of Neurology, Jeju National University College of Medicine, Jeju, Republic of Korea
| | - Kyung-Won Park
- Department of Neurology, Cognitive Disorders and Dementia Center, Dong-A University College of Medicine and Institute of Convergence Bio-Health, Busan, Republic of Korea
| | - Ae Young Lee
- Department of Neurology, Chungnam National University School of Medicine, Daejeon, Republic of Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae-Hong Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Byeong C. Kim
- Department of Neurology, Chonnam National University Medical School & Hospital, Gwangju, Republic of Korea
| | - Kee Hyung Park
- Department of Neurology, College of Medicine, Gachon University Gil Hospital, Incheon, Republic of Korea
| | - Byung-Chul Lee
- Department of Neurology, College of Medicine, Hallym University, Seoul, Republic of Korea
| | - Hojin Choi
- Department of Neurology, Hanyang University Guri Hospital, Guri, Republic of Korea
| | - Jieun Kim
- Department of Medical, Eisai Korea Inc., Seoul, Republic of Korea
| | - Mee Young Park
- Department of Neurology, Yeungnam University College of Medicine, Daegu, Republic of Korea
| |
Collapse
|
4
|
Lou Y, Chen X, Zhao L, Xuc N, Zhang L, Hu W, Qiu Y. Effect of dietary patterns on mild cognitive impairment and dementia: a machine learning bibliometric and visualization analysis. Front Nutr 2024; 11:1378959. [PMID: 38803449 PMCID: PMC11129789 DOI: 10.3389/fnut.2024.1378959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/22/2024] [Indexed: 05/29/2024] Open
Abstract
Objective As a spectrum of neurodegenerative conditions, dementia presents a significant challenge to worldwide health. Mild cognitive impairment (MCI) is recognized as the intermediate stage between normal cognitive functioning and dementia. Studies highlight the significant impact of dietary patterns on the management of MCI and dementia. Currently, comprehensive research on dietary patterns specific to MCI and dementia is limited, but bibliometric analysis offers a method to pinpoint essential research directions. Methods On November 18, 2023, a search was conducted in the Web of Science Core Collection (WoSCC) for publications on diet and MCI/dementia. Tools such as Rstudio, CiteSpace, and VOSviewer were employed to create a knowledge atlas. This atlas analyzed collaborations, reference co-citations, keyword patterns, and emerging trends. Results The search yielded 1,493 publications on diet and MCI/dementia, indicating a growing interest despite fluctuations. Contributions came from 70 countries/regions and 410 organizations across 456 journals. The USA and China led in publication numbers, with significant contributions from Columbia University and Harvard Medical School. Top authors include Scarmeas Nikolaos, Morris Martha Clare, and Samieri Cecilia. The Ketogenic, Mediterranean, and MIND diets emerged as key dietary patterns for cognitive decline prevention, highlighting the role of genetic factors, especially ApoE polymorphisms, in cognitive deterioration. Conclusion This study provides core countries, institutions, and authors in the field, and points out the development directions in the field. Future research directions in dietary for MCI and dementia will focus on: (1) the potential effects of the KD in alleviating oxidative stress and modulating gut microbiota in neurodegenerative diseases; (2) how diet influences cognitive health through patterns of ApoE and protein expression; (3) investigating the interactions between gut microbiota and brain function, known as the "gut-brain axis."
Collapse
Affiliation(s)
- Yan Lou
- Haining Health School, Jiaxing, Zhejiang, China
| | - Xueping Chen
- Hangzhou Yanjiang Technology Co., Ltd., Hangzhou, Zhejiang, China
| | - Le Zhao
- Haining Health School, Jiaxing, Zhejiang, China
| | - Nan Xuc
- Quzhou College of Technology, Quzhou, Zhejiang, China
| | - Lijun Zhang
- Hangzhou Lvkang Hospital Co., Ltd., Hangzhou, Zhejiang, China
| | - Wenyi Hu
- China Jiliang University, Hangzhou, Zhejiang, China
| | - Yongzhen Qiu
- Department of Cardiology, Lishui Municipal Central Hospital, Lishui, Zhejiang, China
| |
Collapse
|
5
|
Pinyopornpanish K, Buawangpong N, Soontornpun A, Thaikla K, Pateekhum C, Nantsupawat N, Wiwatkunupakarn N, Jiraporncharoen W, Angkurawaranon C. A household survey of the prevalence of subjective cognitive decline and mild cognitive impairment among urban community-dwelling adults aged 30 to 65. Sci Rep 2024; 14:7783. [PMID: 38565884 PMCID: PMC10987517 DOI: 10.1038/s41598-024-58150-3] [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] [Received: 09/22/2023] [Accepted: 03/26/2024] [Indexed: 04/04/2024] Open
Abstract
While it is possible to detect cognitive decline before the age of 60, and there is a report indicating that certain cognitive abilities peak in one's 30s, the evidence regarding cognitive problems in populations younger than 65 years is scarce. This study aims to (1) determine the proportion of community-dwelling adults with different cognitive status, and (2) determine the prevalence of neuropsychiatric behaviors. A population-based survey was conducted in Chiang Mai, Thailand. Individuals aged 30 to 65 were recruited and assessed for demographic data, memory complaints, cognitive performance, and neuropsychiatric symptoms using self-reported questionnaires. In a total of 539 participants, 33.95% had mild cognitive impairment (MCI), 7.05% had subjective cognitive decline (SCD), and 52.50% had neuropsychiatric symptoms. The risk of MCI increased with age, and neuropsychiatric symptoms were significantly higher in those with MCI or SCD than in those without (p < 0.001). The most common complaints were sleep problems, anxiety, and irritability. Screening for MCI in adults aged < 65 years might be useful. However, further investigation on the appropriate age to screen and the program's cost-effectiveness is suggested.
Collapse
Affiliation(s)
- Kanokporn Pinyopornpanish
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Nida Buawangpong
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Atiwat Soontornpun
- Division of Neurology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Kanittha Thaikla
- Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Chanapat Pateekhum
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
| | - Nopakoon Nantsupawat
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Nutchar Wiwatkunupakarn
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Wichuda Jiraporncharoen
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Chaisiri Angkurawaranon
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Inthawarorot Rd., Sriphum, Muang, Chiang Mai, 50200, Thailand.
- Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, 50200, Thailand.
| |
Collapse
|
6
|
Gontrum EQ, Paolillo EW, Lee S, Diaz V, Ehrenberg A, Saloner R, Mundada NS, La Joie R, Rabinovici G, Kramer JH, Casaletto KB. Neuropsychiatric Profiles and Cerebral Amyloid Burden in Adults without Dementia. Dement Geriatr Cogn Disord 2024; 53:119-127. [PMID: 38513620 PMCID: PMC11187670 DOI: 10.1159/000538376] [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: 09/24/2023] [Accepted: 03/11/2024] [Indexed: 03/23/2024] Open
Abstract
INTRODUCTION We comprehensively evaluated how self- and informant-reported neuropsychiatric symptoms (NPS) were differentially associated with cerebral amyloid-beta (Aβ) PET levels in older adults without dementia. METHODS Two hundred and twenty-one participants (48% female, age = 73.4 years ± 8.4, Clinical Dementia Rating = 0 [n = 184] or 0.5 [n = 37]) underwent an Aβ-PET scan (florbetapir or PIB), comprehensive neuropsychological testing, and self-reported (Geriatric Depression Scale - 30 item [GDS-30]) and informant-reported interview (Neuropsychiatric Inventory Questionnaire [NPI-Q]) of NPS. Cerebral Aβ burden was quantified using centiloids (CL). NPI-Q and GDS-30 queried the presence of NPS within 4 subdomains and 6 subscales, respectively. Regression models examined the relationship between NPS and Aβ-PET CL. RESULTS Both higher self- and informant-reported NPS were associated with higher Aβ burden. Among specific NPI-Q subdomains, informant-reported changes in depression, anxiety, and irritability were all associated with higher Aβ-PET. Similarly, self-reported (GDS-30) subscales of depression, apathy, anxiety, and cognitive concern were associated with higher Aβ-PET. When simultaneously entered, only self-reported cognitive concern was associated with Aβ-PET in the GDS-30 model, while both informant-reported anxiety and depression were associated with Aβ-PET in the NPI-Q model. Clinical status moderated the association between self-reported NPS and Aβ-PET such that the positive relationship between self-perceived NPS and Aβ burden strengthened with increasing functional difficulties. CONCLUSIONS In a cohort of older adults without dementia, both self- and informant-reported measures of global NPS, particularly patient-reported cognitive concerns and informant-reported anxiety and depression, corresponded with cerebral Aβ burden. NPS may appear early in the prodromal disease state and relate to initial AD proteinopathy burden, a relationship further exaggerated in those with greater clinical severity.
Collapse
Affiliation(s)
- Eva Q Gontrum
- UCSF, Memory and Aging Center, San Francisco, California, USA,
| | | | - Shannon Lee
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Valentina Diaz
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Alexander Ehrenberg
- UCSF, Memory and Aging Center, San Francisco, California, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, California, USA
- Innovative Genomics Institute, University of California, Berkeley, California, USA
| | - Rowan Saloner
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Nidhi S Mundada
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Renaud La Joie
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Gil Rabinovici
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Joel H Kramer
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | | |
Collapse
|
7
|
Matuskova V, Veverova K, Jester DJ, Matoska V, Ismail Z, Sheardova K, Horakova H, Cerman J, Laczó J, Andel R, Hort J, Vyhnalek M. Mild behavioral impairment in early Alzheimer's disease and its association with APOE and BDNF risk genetic polymorphisms. Alzheimers Res Ther 2024; 16:21. [PMID: 38279143 PMCID: PMC10811933 DOI: 10.1186/s13195-024-01386-y] [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: 04/13/2023] [Accepted: 01/04/2024] [Indexed: 01/28/2024]
Abstract
BACKGROUND Mild behavioral impairment (MBI) has been commonly reported in early Alzheimer's disease (AD) but rarely using biomarker-defined samples. It is also unclear whether genetic polymorphisms influence MBI in such individuals. We thus aimed to examine the association between the cognitive status of participants (amnestic mild cognitive impairment (aMCI-AD) vs cognitively normal (CN) older adults) and MBI severity. Within aMCI-AD, we further examined the association between APOE and BDNF risk genetic polymorphisms and MBI severity. METHODS We included 62 aMCI-AD participants and 50 CN older adults from the Czech Brain Aging Study. The participants underwent neurological, comprehensive neuropsychological examination, APOE and BDNF genotyping, and magnetic resonance imaging. MBI was diagnosed with the Mild Behavioral Impairment Checklist (MBI-C), and the diagnosis was based on the MBI-C total score ≥ 7. Additionally, self-report instruments for anxiety (the Beck Anxiety Inventory) and depressive symptoms (the Geriatric Depression Scale-15) were administered. The participants were stratified based on the presence of at least one risk allele in genes for APOE (i.e., e4 carriers and non-carriers) and BDNF (i.e., Met carriers and non-carriers). We used linear regressions to examine the associations. RESULTS MBI was present in 48.4% of the aMCI-AD individuals. Compared to the CN, aMCI-AD was associated with more affective, apathy, and impulse dyscontrol but not social inappropriateness or psychotic symptoms. Furthermore, aMCI-AD was related to more depressive but not anxiety symptoms on self-report measures. Within the aMCI-AD, there were no associations between APOE e4 and BDNF Met and MBI-C severity. However, a positive association between Met carriership and self-reported anxiety appeared. CONCLUSIONS MBI is frequent in aMCI-AD and related to more severe affective, apathy, and impulse dyscontrol symptoms. APOE and BDNF polymorphisms were not associated with MBI severity separately; however, their combined effect warrants further investigation.
Collapse
Affiliation(s)
- Veronika Matuskova
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Katerina Veverova
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
| | - Dylan J Jester
- Women's Operational Military Exposure Network (WOMEN), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Vaclav Matoska
- Department of Clinical Biochemistry, Hematology and Immunology, Homolka Hospital, Prague, Czech Republic
| | - Zahinoor Ismail
- Departments of Psychiatry and Clinical Neurosciences, Cumming School of Medicine, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - Katerina Sheardova
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Hana Horakova
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
- Department of Clinical Psychology, Motol University Hospital, Prague, Czech Republic
| | - Jiri Cerman
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Jan Laczó
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
| | - Ross Andel
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
- Center for Innovation in Healthy and Resilient Aging, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Jakub Hort
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Martin Vyhnalek
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic.
| |
Collapse
|
8
|
Marin-Marin L, Renau-Lagranja J, Ávila C, Costumero V. Depression and Agitation Factors Are Related to Regional Brain Atrophy and Faster Longitudinal Cognitive Decline in Mild Cognitive Impairment. J Alzheimers Dis 2024; 97:1341-1351. [PMID: 38217601 DOI: 10.3233/jad-230929] [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: 01/15/2024]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) are a common aspect of Alzheimer's disease (AD). Multiple studies have investigated its brain correlates, but it still remains unclear how they relate with brain atrophy in mild cognitive impairment (MCI). OBJECTIVE Our objective was to investigate brain volume in MCI patients as a function of NPS. METHODS We measured grey matter volume, neuropsychological status and NPS (Neuropsychiatric Inventory, NPI), in a sample of 81 MCI patients (43 females). Participants were divided in groups depending on presence (NPS+) or absence (NPS-) of NPS and on type of NPS. RESULTS We found lower volume of left temporal pole in patients with depression compared to NPS- (p = 0.012), and in patients with agitation compared to NPS- in the right middle occipital gyrus (p = 0.003). We also found a significant correlation between volume of left temporal pole and MMSE (r (78) = 0.232, p = 0.019). Finally, NPS+ presented lower cross-sectional cognitive level than NPS- (t (79) = 1.79, p = 0.038), and faster cognitive decline (t (48) = -1.74, p = 0.044). CONCLUSIONS Our results support the colocalization of structural damage as a possible mechanism underlying the relationship between MCI and depression and provide novel evidence regarding agitation. Moreover, our longitudinal evidence highlights the relevance of an adequate identification of NPS in MCI patients to identify those at risk of faster cognitive decline.
Collapse
Affiliation(s)
- Lidón Marin-Marin
- Department of Psychology, The University of York, York, UK
- York Neuroimaging Centre, York, UK
| | - Julia Renau-Lagranja
- Hospital General Universitari de Castelló, Castelló, Spain
- Department of Basic Psychology, Neuropsychology and Functional Neuroimaging Group, Clinical Psychology and Psychobiology, University Jaume I, Castelló, Spain
| | - César Ávila
- Department of Basic Psychology, Neuropsychology and Functional Neuroimaging Group, Clinical Psychology and Psychobiology, University Jaume I, Castelló, Spain
| | - Víctor Costumero
- Department of Basic Psychology, Neuropsychology and Functional Neuroimaging Group, Clinical Psychology and Psychobiology, University Jaume I, Castelló, Spain
| |
Collapse
|
9
|
Lozupone M, Dibello V, Sardone R, Altamura M, Bellomo A, Daniele A, Solfrizzi V, Resta E, Panza F. Social Dysfunction and Apathy: Transdiagnostic Domains in Late-Life Cognitive Disorders. J Alzheimers Dis 2024; 100:S57-S61. [PMID: 39031368 DOI: 10.3233/jad-240556] [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: 07/22/2024]
Abstract
Social dysfunction is a maladaptive process of coping, problem solving, and achieving one's goals. A new definition of apathy was cross-linked to social dysfunction, with a reduced goal-directed behavior and social interaction as a separate dimension. We hypothesized that these two neuropsychiatric symptoms may be included in the mild behavioral impairment diagnostic framework, operationalizing and standardizing late-life neuropsychiatric symptom assessment, to improve risk determination of dementia. Social dysfunction and apathy were transdiagnostic and prodromic for late-life cognitive disorders. A transdiagnostic approach could provide a useful mean for a better understanding of apathy and related conditions such as social behavior.
Collapse
Affiliation(s)
- Madia Lozupone
- Department of Translational Biomedicine and Neuroscience "DiBrain", University of Bari Aldo Moro, Bari, Italy
| | - Vittorio Dibello
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Mario Altamura
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Antonello Bellomo
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Antonio Daniele
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Vincenzo Solfrizzi
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Emanuela Resta
- Translational Medicine and Health System Management, Department of Economy, University of Foggia, Foggia, Italy
| | - Francesco Panza
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| |
Collapse
|
10
|
Beach B, Steptoe A, Zaninotto P. Depression and anxiety in people with cognitive impairment and dementia during the COVID-19 pandemic: Analysis of the English Longitudinal Study of Ageing. PLoS Med 2023; 20:e1004162. [PMID: 37093859 PMCID: PMC10124844 DOI: 10.1371/journal.pmed.1004162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/27/2023] [Indexed: 04/25/2023] Open
Abstract
BACKGROUND Some studies have identified declines in mental health during the Coronavirus Disease 2019 (COVID-19) pandemic in different age groups, including older people. As anxiety and depression are common neuropsychiatric symptoms among people with cognitive impairment, the mental health experiences of older people during the pandemic should take cognitive function into consideration, along with assessments made prior to the pandemic. This study addresses evidence gaps to test whether changes in depression and anxiety among older people through the COVID-19 pandemic were associated with cognitive impairment. It also investigates whether associations varied according to key sources of sociodemographic inequality. METHODS AND FINDINGS Using data from the English Longitudinal Study of Ageing (ELSA) collected from 2018/2019 to November/December 2020, we estimated changes in depression and anxiety for people aged 50+ in England across 3 cognitive function groups: no impairment, mild cognitive impairment, and dementia. Conditional growth curve models were estimated for continuous measures over 3 time points (N = 5,286), with mixed-effects logistic regression used for binary measures. All models adjusted for demographics (age, gender, ethnicity, and cohabiting partnership), socioeconomics (education, wealth, and employment status), geography (urban/rural and English region), and health (self-rated and the presence of multimorbidity). We found that depression (measured with CES-D score) worsened from 2018/2019 to November/December 2020 for people with mild cognitive impairment (1.39 (95% CI: 1.29 to 1.49) to 2.16 (2.02 to 2.30)) or no impairment (1.17 (95%CI: 1.12 to 1.22) to 2.03 (1.96 to 2.10)). Anxiety, using a single-item rating of 0 to 10 also worsened among those with mild cognitive impairment (2.48 (2.30 to 2.66) to 3.14 (2.95 to 3.33)) or no impairment (2.20 (2.11 to 2.28) to 2.85 (2.77 to 2.95)). No statistically significant increases were found for those with dementia. Using a clinical cutoff for likely depression (CES-D ≥4), we found statistically significant increases in the probability of depression between 2018/2019 and November/December 2020 for those with no impairment (0.110 (0.099 to 0.120) to 0.206 (0.191 to 0.222)) and mild impairment (0.139 (0.120 to 0.159) to 0.234 (0.204 to 0.263)). We also found that differences according to cognitive function that existed before the pandemic were no longer present by June/July 2020, and there were no statistically significant differences in depression or anxiety among cognitive groups in November/December 2020. Wealth and education appeared to be stronger drivers for depression and anxiety, respectively, than cognitive impairment. For example, those with no impairment in the richest two-thirds scored 1.76 (1.69 to 1.82) for depression in June/July, compared to 2.01 (1.91 to 2.12) for those with no impairment in the poorest third and 2.03 (1.87 to 2.19) for those with impairment in the poorest third. Results may be limited by the small number of people with dementia and are generalizable only to people living in the community, not to those in institutional care settings. CONCLUSIONS Our findings suggest a convergence in mental health across cognitive function groups during the pandemic. This suggests mental health services will need to meet an increased demand from older adults, especially those not living with cognitive impairment. Further, with little significant change among those with dementia, their existing need for support will remain; policymakers and care practitioners should ensure this group continues to have equitable access to mental health support.
Collapse
Affiliation(s)
- Brian Beach
- Research Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, London, United Kingdom
| | - Andrew Steptoe
- Research Department of Behavioural Science & Health, Institute of Epidemiology & Health Care, University College London, London, United Kingdom
| | - Paola Zaninotto
- Research Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, London, United Kingdom
| |
Collapse
|
11
|
Liampas I, Siokas V, Lyketsos CG, Dardiotis E. Associations between neuropsychiatric symptoms and incident Alzheimer's dementia in men versus women. J Neurol 2023; 270:2069-2083. [PMID: 36572715 PMCID: PMC10025238 DOI: 10.1007/s00415-022-11541-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/16/2022] [Accepted: 12/17/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVE To examine whether associations between individual neuropsychiatric symptoms (NPS) and incident Alzheimer's dementia (AD) differ in men versus women. METHODS Data were acquired from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set. Two sets of older (≥ 60 years) participants were formed: one of cognitively unimpaired (CU) individuals, and one of participants with mild cognitive impairment (MCI). NPS were assessed using the Neuropsychiatric Inventory Questionnaire. Cox proportional hazards models examined associations between individual NPS and AD incidence separately for each participant set. These models featured individual NPS, sex, NPS by sex interactions as well as a number of covariates. RESULTS The analysis involved 9,854 CU individuals followed for 5.5 ± 3.8 years and 6,369 participants with MCI followed for 3.8 ± 3.0 years. NPS were comparably associated with future AD in men and women with MCI. Regarding CU participants, the following significant sex by NPS interactions were noted: female sex moderated the risk conferred by moderate/severe apathy (HR = 7.36, 3.25-16.64) by 74%, mitigated the risk conferred by moderate/severe depression (HR = 3.61, 2.08-6.28) by 52%, and augmented the risks conferred by mild depression (HR = 1.00, 0.60-1.68) and agitation (HR = 0.81, 0.40-1.64) by 83% and 243%, respectively. CONCLUSIONS Apathy, depression and agitation were differentially associated with incident AD in CU men and women. No individual NPS was associated with different risks of future AD in men versus women with MCI.
Collapse
Affiliation(s)
- Ioannis Liampas
- Department of Neurology, Faculty of Medicine, School of Medicine, University Hospital of Larissa, University of Thessaly, Mezourlo Hill, 41100, Larissa, Greece.
| | - Vasileios Siokas
- Department of Neurology, Faculty of Medicine, School of Medicine, University Hospital of Larissa, University of Thessaly, Mezourlo Hill, 41100, Larissa, Greece
| | - Constantine G Lyketsos
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Efthimios Dardiotis
- Department of Neurology, Faculty of Medicine, School of Medicine, University Hospital of Larissa, University of Thessaly, Mezourlo Hill, 41100, Larissa, Greece
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| |
Collapse
|
12
|
Saposnik G, Sánchez-Benavidez G, García-Arcelay E, Franco-Macías E, Bensi C, Carmelingo S, Allegri RF, Pérez-Martínez DA, Maurino J. Design of a Non-Interventional Study to Assess Neurologists' Perspectives and Pharmacological Treatment Decisions in Early Alzheimer's Disease. Neurol Ther 2023; 12:995-1006. [PMID: 36952172 DOI: 10.1007/s40120-023-00466-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/14/2023] [Indexed: 03/24/2023] Open
Abstract
INTRODUCTION The current therapeutic landscape of Alzheimer's disease (AD) is evolving rapidly. Our treatment options include new anti-amyloid-β protein disease-modifying therapies (DMTs) that decrease cognitive decline in patients with early AD (prodromal and mild AD dementia). Despite these advances, we have limited information on how neurologists would apply the results of recent DMT trials to make treatment decisions. Our goal is to identify factors associated with the use of new AD DMTs among neurologists applying concepts from behavioral economics. METHODS This non-interventional, cross-sectional, web-based study will assess 400 neurologists with expertise in AD from across Spain. Participants will start by completing demographic information, practice settings, and a behavioral battery to address their tolerance to uncertainty and risk preferences. Participants will then be presented with 10 simulated case scenarios or vignettes of common encounters in patients with early AD to evaluate treatment initiation with anti-amyloid-β DMTs (e.g., aducanumab, lecanemab, etc.). The primary outcomes will be therapeutic inertia and suboptimal decisions. Discrete choice experiments will be used to determine the weight of factors influencing treatment choices. RESULTS The results of this study will provide new insights into a better understanding of the most relevant factors associated with therapeutic decisions on the use of DMTs, assessing how neurologists handle uncertainty when making treatment choices, and identifying the prevalence of therapeutic inertia in the management of early AD.
Collapse
Affiliation(s)
- Gustavo Saposnik
- Clinical Outcomes and Decision Neuroscience Unit, Li Ka Shing Institute, University of Toronto, Toronto, Canada.
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 55 Queen St E, Toronto, ON, M5C 1R6, Canada.
| | - Gonzalo Sánchez-Benavidez
- BarcelonaBeta Brain Research Center, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | | | - Emilio Franco-Macías
- Department of Neurology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla, Seville, Spain
| | - Catalina Bensi
- Medical Department, Roche Farma, Buenos Aires, Argentina
| | | | - Ricardo F Allegri
- Department of Cognitive Neurology, Neuropsychology and Neuropsychiatry, Fleni, Buenos Aires, Argentina
| | - David A Pérez-Martínez
- Department of Neurology, Hospital Universitario Doce de Octubre, Hospital Universitario La Luz, Madrid, Spain
| | | |
Collapse
|
13
|
Nicoletti VG, Fisicaro F, Aguglia E, Bella R, Calcagno D, Cantone M, Concerto C, Ferri R, Mineo L, Pennisi G, Ricceri R, Rodolico A, Saitta G, Torrisi G, Lanza G, Pennisi M. Challenging the Pleiotropic Effects of Repetitive Transcranial Magnetic Stimulation in Geriatric Depression: A Multimodal Case Series Study. Biomedicines 2023; 11:biomedicines11030958. [PMID: 36979937 PMCID: PMC10046045 DOI: 10.3390/biomedicines11030958] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/16/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Although the antidepressant potential of repetitive transcranial magnetic stimulation (rTMS), the pleiotropic effects in geriatric depression (GD) are poorly investigated. We tested rTMS on depression, cognitive performance, growth/neurotrophic factors, cerebral blood flow (CBF) to transcranial Doppler sonography (TCD), and motor-evoked potentials (MEPs) to TMS in GD. METHODS In this case series study, six drug-resistant subjects (median age 68.0 years) underwent MEPs at baseline and after 3 weeks of 10 Hz rTMS on the left dorsolateral prefrontal cortex. The percentage change of serum nerve growth factor, vascular endothelial growth factor, brain-derived growth factor, insulin-like growth factor-1, and angiogenin was obtained. Assessments were performed at baseline, and at the end of rTMS; psychocognitive tests were also repeated after 1, 3, and 6 months. RESULTS Chronic cerebrovascular disease was evident in five patients. No adverse/undesirable effect was reported. An improvement in mood was observed after rTMS but not at follow-up. Electrophysiological data to TMS remained unchanged, except for an increase in the right median MEP amplitude. TCD and neurotrophic/growth factors did not change. CONCLUSIONS We were unable to detect a relevant impact of high-frequency rTMS on mood, cognition, cortical microcircuits, neurotrophic/growth factors, and CBF. Cerebrovascular disease and exposure to multiple pharmacological treatments might have contributed.
Collapse
Affiliation(s)
- Vincenzo G Nicoletti
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Francesco Fisicaro
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Eugenio Aguglia
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy
| | - Rita Bella
- Department of Medical and Surgical Sciences and Advanced Technologies, University of Catania, 95123 Catania, Italy
| | - Damiano Calcagno
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Mariagiovanna Cantone
- Neurology Unit, Policlinico University Hospital "G. Rodolico-San Marco", 95123 Catania, Italy
| | - Carmen Concerto
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy
| | - Raffaele Ferri
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, 94018 Troina, Italy
| | - Ludovico Mineo
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy
| | - Giovanni Pennisi
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, 94018 Troina, Italy
| | - Riccardo Ricceri
- Stroke Unit, Neurology Unit, Department of Neuroscience, Ospedale Civile di Baggiovara, Azienda Ospedaliero-Universitaria di Modena, 41126 Modena, Italy
| | - Alessandro Rodolico
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy
| | - Giulia Saitta
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy
| | - Giulia Torrisi
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy
| | - Giuseppe Lanza
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, 94018 Troina, Italy
- Department of Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy
| | - Manuela Pennisi
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| |
Collapse
|
14
|
The Synergic Effect of AT(N) Profiles and Depression on the Risk of Conversion to Dementia in Patients with Mild Cognitive Impairment. Int J Mol Sci 2023; 24:ijms24021371. [PMID: 36674881 PMCID: PMC9865785 DOI: 10.3390/ijms24021371] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/02/2023] [Accepted: 01/06/2023] [Indexed: 01/13/2023] Open
Abstract
Few studies have addressed the impact of the association between Alzheimer's disease (AD) biomarkers and NPSs in the conversion to dementia in patients with mild cognitive impairment (MCI), and no studies have been conducted on the interaction effect of these two risk factors. AT(N) profiles were created using AD-core biomarkers quantified in cerebrospinal fluid (CSF) (normal, brain amyloidosis, suspected non-Alzheimer pathology (SNAP) and prodromal AD). NPSs were assessed using the Neuropsychiatric Inventory Questionnaire (NPI-Q). A total of 500 individuals with MCI were followed-up yearly in a memory unit. Cox regression analysis was used to determine risk of conversion, considering additive and multiplicative interactions between AT(N) profile and NPSs on the conversion to dementia. A total of 224 participants (44.8%) converted to dementia during the 2-year follow-up study. Pathologic AT(N) groups (brain amyloidosis, prodromal AD and SNAP) and the presence of depression and apathy were associated with a higher risk of conversion to dementia. The additive combination of the AT(N) profile with depression exacerbates the risk of conversion to dementia. A synergic effect of prodromal AD profile with depressive symptoms is evidenced, identifying the most exposed individuals to conversion among MCI patients.
Collapse
|
15
|
Yoon EJ, Lee JY, Kwak S, Kim YK. Mild behavioral impairment linked to progression to Alzheimer's disease and cortical thinning in amnestic mild cognitive impairment. Front Aging Neurosci 2023; 14:1051621. [PMID: 36688162 PMCID: PMC9846631 DOI: 10.3389/fnagi.2022.1051621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/28/2022] [Indexed: 01/06/2023] Open
Abstract
Background Mild behavioral impairment (MBI) is a neurobehavioral syndrome characterized by later life emergence of sustained neuropsychiatric symptoms, as an at-risk state for dementia. However, the associations between MBI and a risk of progression to Alzheimer's disease (AD) and its neuroanatomical correlates in mild cognitive impairment (MCI) are still unclear. Method A total 1,184 older adults with amnestic MCI was followed for a mean of 3.1 ± 2.0 years. MBI was approximated using a transformation algorithm for the Neuropsychiatric Inventory at baseline. A two-step cluster analysis was used to identify subgroups of individuals with amnestic MCI based on profiles of 5 MBI domain symptoms (decreased motivation, affective dysregulation, impulse dyscontrol, social inappropriateness, abnormal perception/thought content). A Cox regression analysis was applied to investigate differences in the risk of progression to AD between subgroups. A subset of participants (n = 202) underwent 3D T1-weighted MRI scans at baseline and cortical thickness was compared between the subgroups of amnestic MCI patients. Result The cluster analysis classified the patients into 3 groups: (1) patients without any MBI domain symptoms (47.4%, asymptomatic group); (2) those with only affective dysregulation (29.4%, affective dysregulation group); (3) those with multiple MBI domain symptoms, particularly affective dysregulation, decreased motivation and impulse dyscontrol (23.2%, complex group). Compared to the asymptomatic group, the complex group was associated with a higher risk of progression to AD (hazard ratio = 2.541 [1.904-3.392], p < 0.001), but the affective dysregulation group was not (1.214 [0.883-1.670], p = 0.232). In cortical thickness analysis, the complex group revealed cortical thinning bilaterally in the inferior parietal, lateral occipital, lateral superior temporal, and frontopolar regions compared with the affective dysregulation group. Conclusion The multiple co-occuring MBI domains in individuals with amnestic MCI are associated with a higher risk of progression to AD and cortical thinning in temporal, parietal and frontal areas. These results suggest that evaluation of MBI could be useful for risk stratification for AD and appropriate intervention in MCI individuals.
Collapse
Affiliation(s)
- Eun Jin Yoon
- Memory Network Medical Research Center, Seoul National University, Seoul, South Korea,Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea
| | - Jun-Young Lee
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, South Korea,Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea,Department of Medical Device Development, Seoul National University College of Medicine, Seoul, South Korea
| | - Seyul Kwak
- Department of Psychology, Pusan National University, Busan, South Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea,Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, South Korea,*Correspondence: Yu Kyeong Kim,
| |
Collapse
|
16
|
Salem H, Suchting R, Gonzales MM, Seshadri S, Teixeira AL. Apathy as a Predictor of Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Texas Alzheimer's Research and Care Consortium (TARCC) Cohort-Based Analysis. J Alzheimers Dis 2023; 92:129-139. [PMID: 36710674 DOI: 10.3233/jad-220826] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Apathy is among the neuropsychiatric symptoms frequently observed in people with cognitive impairment. It has been postulated to be a potential predictor of conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD). OBJECTIVE To detect conversion rates from MCI to AD, and to determine the effect of apathy on the progression to AD in patients with MCI enrolled in the Texas Alzheimer's Research and Care Consortium (TARCC) cohort. METHODS Apathy was determined by a positive response to the respective item in the Neuropsychiatric Inventory -Questionnaire (NPI-Q) completed by family members or caregivers. The final dataset included 2,897 observations from 1,092 individuals with MCI at the baseline. Kaplan-Meier survival curves were estimated to provide indices of the probability of conversion to AD over time across all individuals as well as between those with and without apathy. Cox proportional hazards regression measured the hazard associated with apathy and several other predictors of interest. RESULTS Over a period of 8.21 years, 17.3% of individuals had conversion from MCI to AD (n = 190 of 1,092 total individuals) across observations. The median time-to-conversion across all participants was 6.41 years. Comparing individuals with apathy (n = 158) versus without apathy (n = 934), 36.1% and 14.2% had conversion to AD, respectively. The median time-to-conversion was 3.79 years for individuals with apathy and 6.83 years for individuals without apathy. Cox proportional hazards regression found significant effects of several predictors, including apathy, on time-to-conversion. Age and cognitive performance were found to moderate the relationship between apathy and time-to-conversion. CONCLUSIONS Apathy is associated with progression from MCI to AD, suggesting that it might improve risk prediction and aid targeted intervention delivery.
Collapse
Affiliation(s)
- Haitham Salem
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Robert Suchting
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA
| | - Mitzi M Gonzales
- Biggs Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Sudha Seshadri
- Biggs Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Antonio L Teixeira
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA
| |
Collapse
|
17
|
Lin RS, Yu DS, Chau PH, Li PW, Ismail Z. Reliability and Validity of the Traditional Chinese Version of the Mild Behavioral Impairment - Checklist Among Persons With Mild Cognitive Impairment - A Validation Study. J Geriatr Psychiatry Neurol 2023; 36:26-38. [PMID: 35430911 DOI: 10.1177/08919887221093363] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
OBJECTIVE To evaluate the reliability and validity of the traditional Chinese version of the Mild Behavioral Impairment Checklist (MBI-C) among Hong Kong Chinese with mild cognitive impairment (MCI). METHODS A total of 172 participants were recruited from 2 community facilities. Cronbach's alpha (α) was calculated to evaluate internal consistency. Intra-class correlation coefficient (ICC) was used to measure 2-week test-retest reliability. Construct validity was evaluated by conducting exploratory factor analysis to identify the internal structure of MBI-C, and assessing the correlation between theoretically related constructs, including objective and subjective cognitive impairment, neurotic personality, social supports, and maladaptive coping. Concurrent validity was assessed by its correlation with Neuropsychiatric Inventory Questionnaire (NPI-Q). RESULTS The results revealed good internal consistency and test-retest reliability of the MBI-C. Item analysis identified 4 items with low item-to-total correlations. The EFA identified a seven-factor structure. Hypothesis testing identified its significant correlations with subjective cognitive impairment, neurotic personality, social supports, and maladaptive coping. Concurrent validity was supported by its significant correlation with the NPI-Q. CONCLUSIONS The traditional Chinese version of MBI-C is a valid and reliable outcome measure to assess the severity of neuropsychiatric symptoms of the MCI population.
Collapse
Affiliation(s)
- Rose Sy Lin
- School of Nursing, Li Ka Shing Faculty of Medicine, 71020University of Hong Kong, Hong Kong
| | - Doris Sf Yu
- School of Nursing, Li Ka Shing Faculty of Medicine, 71020University of Hong Kong, Hong Kong
| | - Pui H Chau
- School of Nursing, Li Ka Shing Faculty of Medicine, 71020University of Hong Kong, Hong Kong
| | - Polly Wc Li
- School of Nursing, Li Ka Shing Faculty of Medicine, 71020University of Hong Kong, Hong Kong
| | - Zahinoor Ismail
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, 2129University of Calgary, Calgary, AB, Canada
| |
Collapse
|
18
|
Spampinato MV, Ulber JL, Fayyaz H, Sullivan A, Collins HR. Neuropsychiatric Symptoms and In Vivo Alzheimer's Biomarkers in Mild Cognitive Impairment. J Alzheimers Dis 2023; 96:1827-1836. [PMID: 38007644 DOI: 10.3233/jad-220835] [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] [Indexed: 11/27/2023]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) carry an increased risk of progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD). There is a need to understand how to integrate NPS into the paradigm outlined in the 2018 NIA-AA Research Framework. OBJECTIVE To evaluate a prediction model of MCI-AD progression using a collection of variables, including NPS, cognitive testing, apolipoprotein E4 status (APOE4), imaging and laboratory AD biomarkers. METHODS Of 300 elderly subjects, 219 had stable MCI and 81 MCI-AD progression over a 5-year follow-up. NPS were measured using the Neuropsychiatric Inventory (NPI). A multivariate Cox Proportional Hazards Regression Analysis assessed the effects of APOE4, baseline NPI, baseline CSF amyloid-β, phosphorylated and total tau, baseline AD-signature MRI biomarker, baseline memory and executive function on MCI-AD progression. RESULTS 27% progressed to dementia (median follow-up = 43 months). NPS were found in stable MCI (62.6%) and MCI-AD converters (70.3%). The Cox model exhibited a good fit (p < 0.001), and NPS (HR = 1.033, p = 0.027), phosphorylated tau (HR = 1.011, p = 0.025), total tau (HR = 1.005, p = 0.024), AD-signature MRI biomarker (HR = 0.111, p = 0.002), executive function (HR = 0.727, p = 0.045), and memory performance (HR = 0.387, p < 0.001) were significantly associated with dementia. CONCLUSIONS NPS may inform dementia risk assessment in conjunction with cognitive testing and imaging and laboratory AD biomarkers. NPS is independently associated with the risk of MCI-dementia progression, over and beyond the contributions of CSF biomarkers.
Collapse
Affiliation(s)
- Maria Vittoria Spampinato
- Radiology and Radiological Science Department, Medical University of South Carolina, Charleston, SC, USA
| | - Jenny L Ulber
- College of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Habiba Fayyaz
- College of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Allison Sullivan
- College of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Heather R Collins
- Radiology and Radiological Science Department, Medical University of South Carolina, Charleston, SC, USA
| |
Collapse
|
19
|
Lipton RB, Podger L, Stewart WF, Gomez-Ulloa D, Rodriguez WI, Runken MC, Barnes FB, Serrano D. Toward the optimized assessment of clinical outcomes in studies of novel treatments for Alzheimer's disease. Expert Rev Neurother 2022; 22:863-873. [PMID: 36440481 DOI: 10.1080/14737175.2022.2149324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Alzheimer's disease (AD) is characterized by a progressive decline in cognition and daily function, leading to a greater need for caregiver support. Clinical disease is segmented into a preclinical stage, mild cognitive impairment, and mild, moderate, and severe stages of Alzheimer's dementia. Although AD trials enroll participants at various stages of illness, treatment efficacy is often assessed using endpoints based on measures of outcomes that are held fixed across disease stages. We hypothesize that matching the primary outcomes measured in the endpoint hierarchy to the stage of disease targeted by the trial will increase the likelihood of detecting true treatment benefits. AREAS COVERED We discuss current approaches to assessing clinical outcomes in AD trials, followed by a consideration of how effect detection can be improved by linking the stage of AD to the endpoints that most likely reflect stage-specific disease progression. EXPERT OPINION Failing to account for stage-specific relevance and sensitivity of clinical outcomes may be one factor that contributes to trial failures in AD. Given the history of failure, experts have begun to scrutinize the relevance and sensitivity of outcomes as a potentially modifiable barrier to successful trials. To this end, we present a framework for refining trial endpoint selection and evaluation.
Collapse
Affiliation(s)
- Richard B Lipton
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, New York, NY, USA
| | | | | | | | | | - M Chris Runken
- Global HEOR, Grifols SSNA - Research Triangle Park, NC, USA
| | | | | |
Collapse
|
20
|
Rosende-Roca M, Cañabate P, Moreno M, Preckler S, Seguer S, Esteban E, Tartari JP, Vargas L, Narvaiza L, Pytel V, Bojaryn U, Alarcon E, González-Pérez A, Gurruchaga MJ, Tárraga L, Ruiz A, Marquié M, Boada M, Valero S. Sex, Neuropsychiatric Profiles, and Caregiver Burden in Alzheimer's Disease Dementia: A Latent Class Analysis. J Alzheimers Dis 2022; 89:993-1002. [PMID: 35964175 DOI: 10.3233/jad-215648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) in Alzheimer's disease (AD) can be disruptive for patients and their families. OBJECTIVE We aimed to classify patients based on NPS and to explore the relationship of these classes with sex and with caregiver burden. METHODS The study cohort comprised individuals with AD dementia diagnosed at Ace Alzheimer Center in Barcelona, Spain, between 2011-2020. NPS were ascertained by using the Neuropsychiatric Inventory-Questionnaire. Latent class analysis was used to identify clusters of individuals sharing a similar NPS profile. We evaluated the caregiver burden using the Zarit Burden Interview. Multivariable regression models were used to obtain adjusted estimates of the association between sex, NPS classes, and caregiver burden. RESULTS A total of 1,065 patients with AD dementia and their primary caregivers were included. We classified patients into five different classes according to their NPS profile: "Affective", "High-behavioral-disturbance", "Negative-affect", "Affective/deliriant", and "Apathy". We found that age, sex, and type of AD diagnosis differed greatly across classes. We found that patients from the "High-behavioral-disturbance" (OR = 2.56, 95% CI: 1.00-6.56), "Negative-affect" (OR = 2.72, 95% CI: 1.26-3.64), and "Affective/deliriant" (OR = 2.14, 95% CI: 1.26-3.64) classes were over two times more likely to have a female caregiver than those in "Apathy" class. These three classes were also the ones associated to the greatest caregiver burden in the adjusted analyses, which seems to explain the increased burden observed among female caregivers. CONCLUSION Caregiver burden is highly dependent on the patient's NPS profiles. Female caregivers provide care to patients that pose a greater burden, which makes them more susceptible to become overwhelmed.
Collapse
Affiliation(s)
- Maitée Rosende-Roca
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Pilar Cañabate
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Mariola Moreno
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Silvia Preckler
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Susana Seguer
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Ester Esteban
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Juan Pablo Tartari
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Liliana Vargas
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Leire Narvaiza
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Vanesa Pytel
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Urszula Bojaryn
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | - Emilio Alarcon
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain
| | | | | | - Lluís Tárraga
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Agustín Ruiz
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Marquié
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Mercè Boada
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Sergi Valero
- Ace Alzheimer Center Barcelona -Universitat Internacional de Catalunya, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| |
Collapse
|
21
|
Adams R, Rosenberg P. To Cluster or Not Cluster, That is the Question. Am J Geriatr Psychiatry 2022; 30:935-937. [PMID: 35241354 DOI: 10.1016/j.jagp.2022.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 01/31/2022] [Indexed: 11/15/2022]
Affiliation(s)
- Roy Adams
- Department of Psychiatry and Behavioral Sciences (RA, PR), Johns Hopkins School of Medicine.
| | - Paul Rosenberg
- Department of Psychiatry and Behavioral Sciences (RA, PR), Johns Hopkins School of Medicine
| |
Collapse
|
22
|
Tatò M, Perneczky R. [Diagnosing Alzheimer's dementia - a playground for academics or a sensible clinical measure?]. Dtsch Med Wochenschr 2022; 147:564-569. [PMID: 35468638 DOI: 10.1055/a-1769-1376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The number of dementia cases continues to increase with Alzheimer's disease as the leading cause. The diagnostic workup of Alzheimer's dementia is complex, and its clinical relevance debatable considering the current lack of disease-modifying treatments. From this perspective, a stepwise diagnostic approach is recommended. Whenever Alzheimer's dementia is suspected, a patient' history a physical and psychiatric examination, neuropsychological tests, routine blood tests and standard cerebral imaging should be conducted. This allows in many cases a diagnosis to be given. In cases remaining unclear, modern biomarker tests are proving increasingly useful. Knowledge of the diagnosis is pivotal for the patients to assess the prognosis, to enable them to make plans for their future and to get access to available treatment. The approval of aducanumab in the USA and other promising monoclonal antibodies currently in phase 3-trials as well as the development of blood biomarkers give us hope for the future.
Collapse
Affiliation(s)
- Maia Tatò
- Sektion für Psychische Gesundheit im Alter, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Klinikum der LMU, München
| | - Robert Perneczky
- Sektion für Psychische Gesundheit im Alter, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Klinikum der LMU, München.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), München.,Munich Cluster for Systems Neurology (SyNergy), München.,Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, Vereinigtes Königreich.,Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, Vereinigtes Königreich
| |
Collapse
|
23
|
Frailty and senile apathy in the everyday clinical practice in the conditions of COVID-19. КЛИНИЧЕСКАЯ ПРАКТИКА 2022. [DOI: 10.17816/clinpract104831] [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
The article covers the pathogenesis, clinical manifestations, and diagnostic criteria of frailty and senile apathy in the elderly. Special attention is paid to sarcopenia: the phenotypic classification and modern approaches to the treatment are discussed. The knowledge and understanding of the main pathogenetic links of sarcopenia, frailty and senile apathy, as well as the development of a single therapeutic line for these pathological conditions can significantly improve the life quality and expectancy of the elderly.
Collapse
|
24
|
Reward System Dysfunction and the Motoric-Cognitive Risk Syndrome in Older Persons. Biomedicines 2022; 10:biomedicines10040808. [PMID: 35453558 PMCID: PMC9029623 DOI: 10.3390/biomedicines10040808] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 03/27/2022] [Accepted: 03/28/2022] [Indexed: 02/04/2023] Open
Abstract
During aging, many physiological systems spontaneously change independent of the presence of chronic diseases. The reward system is not an exception and its dysfunction generally includes a reduction in dopamine and glutamate activities and the loss of neurons of the ventral tegmental area (VTA). These impairments are even more pronounced in older persons who have neurodegenerative diseases and/or are affected by cognitive and motoric frailty. All these changes may result in the occurrence of cognitive and motoric frailty and accelerated progression of neurodegenerative diseases, such as Alzheimer’s and Parkinson’s diseases. In particular, the loss of neurons in VTA may determine an acceleration of depressive symptoms and cognitive and motor frailty trajectory, producing an increased risk of disability and mortality. Thus, we hypothesize the existence of a loop between reward system dysfunction, depression, and neurodegenerative diseases in older persons. Longitudinal studies are needed to evaluate the determinant role of the reward system in the onset of motoric-cognitive risk syndrome.
Collapse
|
25
|
Clouston SAP, Hall CB, Kritikos M, Bennett DA, DeKosky S, Edwards J, Finch C, Kreisl WC, Mielke M, Peskind ER, Raskind M, Richards M, Sloan RP, Spiro A, Vasdev N, Brackbill R, Farfel M, Horton M, Lowe S, Lucchini RG, Prezant D, Reibman J, Rosen R, Seil K, Zeig-Owens R, Deri Y, Diminich ED, Fausto BA, Gandy S, Sano M, Bromet EJ, Luft BJ. Cognitive impairment and World Trade Centre-related exposures. Nat Rev Neurol 2022; 18:103-116. [PMID: 34795448 PMCID: PMC8938977 DOI: 10.1038/s41582-021-00576-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2021] [Indexed: 02/03/2023]
Abstract
On 11 September 2001 the World Trade Center (WTC) in New York was attacked by terrorists, causing the collapse of multiple buildings including the iconic 110-story 'Twin Towers'. Thousands of people died that day from the collapse of the buildings, fires, falling from the buildings, falling debris, or other related accidents. Survivors of the attacks, those who worked in search and rescue during and after the buildings collapsed, and those working in recovery and clean-up operations were exposed to severe psychological stressors. Concurrently, these 'WTC-affected' individuals breathed and ingested a mixture of organic and particulate neurotoxins and pro-inflammogens generated as a result of the attack and building collapse. Twenty years later, researchers have documented neurocognitive and motor dysfunctions that resemble the typical features of neurodegenerative disease in some WTC responders at midlife. Cortical atrophy, which usually manifests later in life, has also been observed in this population. Evidence indicates that neurocognitive symptoms and corresponding brain atrophy are associated with both physical exposures at the WTC and chronic post-traumatic stress disorder, including regularly re-experiencing traumatic memories of the events while awake or during sleep. Despite these findings, little is understood about the long-term effects of these physical and mental exposures on the brain health of WTC-affected individuals, and the potential for neurocognitive disorders. Here, we review the existing evidence concerning neurological outcomes in WTC-affected individuals, with the aim of contextualizing this research for policymakers, researchers and clinicians and educating WTC-affected individuals and their friends and families. We conclude by providing a rationale and recommendations for monitoring the neurological health of WTC-affected individuals.
Collapse
Affiliation(s)
- Sean A P Clouston
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
| | - Charles B Hall
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Minos Kritikos
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Department of Neurological Sciences, Rush Medical College, Rush University, Chicago, IL, USA
| | - Steven DeKosky
- Evelyn F. and William L. McKnight Brain Institute and Florida Alzheimer's Disease Research Center, Department of Neurology and Neuroscience, University of Florida, Gainesville, FL, USA
| | - Jerri Edwards
- Department of Psychiatry and Behavioral Neuroscience, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Caleb Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - William C Kreisl
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
| | - Michelle Mielke
- Specialized Center of Research Excellence on Sex Differences, Department of Neurology, Department of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Elaine R Peskind
- Veteran's Association VISN 20 Northwest Mental Illness Research, Education, and Clinical Center, Veteran's Affairs Puget Sound Health Care System, Seattle, WA, USA
- Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Murray Raskind
- Veteran's Association VISN 20 Northwest Mental Illness Research, Education, and Clinical Center, Veteran's Affairs Puget Sound Health Care System, Seattle, WA, USA
- Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing, Population Health Sciences, University College London, London, UK
| | - Richard P Sloan
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Avron Spiro
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Department of Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Neil Vasdev
- Azrieli Centre for Neuro-Radiochemistry, Brain Health Imaging Center, Center for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Robert Brackbill
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Mark Farfel
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Megan Horton
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sandra Lowe
- The World Trade Center Mental Health Program, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Roberto G Lucchini
- Department of Environmental Health Sciences, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - David Prezant
- World Trade Center Health Program, Fire Department of the City of New York, Brooklyn, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Joan Reibman
- Department of Environmental Medicine, New York University Langone Health, New York, NY, USA
| | - Rebecca Rosen
- World Trade Center Environmental Health Center, Department of Psychiatry, New York University, New York, NY, USA
| | - Kacie Seil
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Rachel Zeig-Owens
- World Trade Center Health Program, Fire Department of the City of New York, Brooklyn, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yael Deri
- Department of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Erica D Diminich
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Bernadette A Fausto
- Center for Molecular & Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Sam Gandy
- Research and Development Service, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY, USA
- Mount Sinai Alzheimer's Disease Research Center and Ronald M. Loeb Center for Alzheimer's Disease, Department of Psychiatry, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Mary Sano
- Research and Development Service, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY, USA
- Mount Sinai Alzheimer's Disease Research Center and Ronald M. Loeb Center for Alzheimer's Disease, Department of Psychiatry, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Evelyn J Bromet
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Benjamin J Luft
- Department of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| |
Collapse
|
26
|
Cappon D, den Boer T, Jordan C, Yu W, Metzger E, Pascual-Leone A. Transcranial magnetic stimulation (TMS) for geriatric depression. Ageing Res Rev 2022; 74:101531. [PMID: 34839043 PMCID: PMC8996329 DOI: 10.1016/j.arr.2021.101531] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 11/04/2021] [Accepted: 11/22/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND The prevalence of treatment-resistant geriatric depression (GD) highlights the need for treatments that preserve cognitive functions and recognize polypharmacy in elderly, yet effectively reduce symptom burden. Transcranial magnetic stimulation (TMS) is a proven intervention for treatment-resistant depression in younger adults but the efficacy of TMS to treat depressed older adults is still unclear. This review provides an updated view on the efficacy of TMS treatment for GD, discusses methodological differences between trials in TMS application, and explores avenues for optimization of TMS treatment in the context of the ageing brain. METHODS A systematic review was conducted to identify published literature on the antidepressant efficacy of TMS for GD. Databases PubMed, Embase, and PsycINFO were searched for English language articles in peer-reviewed journals in March 2021. RESULTS Seven randomized controlled trials (RCTs) (total n = 260, active n = 148, control n = 112) and seven uncontrolled trials (total n = 160) were included. Overall, we found substantial variability in the clinical response, ranging from 6.7% to 54.3%. CONCLUSIONS The reviewed literature highlights large heterogeneity among studies both in terms of the employed TMS dosage and the observed clinical efficacy. This highlights the need for optimizing TMS dosage by recognizing the unique clinical features of GD. We showcase a set of novel approaches for the optimization of the TMS protocol for depression and discuss the possibility for a standardized TMS protocol tailored for the treatment of GD.
Collapse
Affiliation(s)
- Davide Cappon
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA; Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA.
| | - Tim den Boer
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
| | - Caleb Jordan
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA; Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA
| | - Wanting Yu
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
| | - Eran Metzger
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Alvaro Pascual-Leone
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA; Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Guttmann Brain Health Institut, Guttmann Institut, Spain
| |
Collapse
|
27
|
Teixeira AL, Salem H, Martins LB, Gonzales MM, Seshadri S, Suchting R. Factors Associated with Apathy in Alzheimer’s Disease: A Cross-Sectional Analysis of the Texas Alzheimer’s Research and Care Consortium (TARCC) Study. J Alzheimers Dis 2022; 86:403-411. [DOI: 10.3233/jad-215314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: Apathy is among the most frequent neuropsychiatric syndromes in Alzheimer’s disease (AD). Objective: To determine the prevalence of apathy and the associated clinical and laboratorial parameters (focus on inflammatory biomarkers) in patients with dementia enrolled at the Texas Alzheimer’s Research and Care Consortium (TARCC) study. Methods: This is a cross-sectional analysis of TARCC baseline. Participants were evaluated through different clinical tools, including the Mini-Mental State Examination (MMSE) and the Lawton-Brody Instrumental Activities of Daily Life (IADL)/Physical Self-Maintenance Scale (PSMS). Apathy was defined by a positive response to the respective item in the Neuropsychiatric Inventory–Questionnaire applied to caregivers. Serum levels of 16 biomarkers were determined by HumanMap multiplex immunoassay. Comparisons between apathy versus non-apathy groups were carried out with non-parametric tests. Logistic regression and the least absolute shrinkage and selection operator (LASSO) were used to separately model apathy as a function of each biomarker, adjusted for the potential confounders. Results: From 1,319 patients with AD (M/F: 579/740, mean age ± SD: 75.3 ± 8.4), 373 (28.3%) exhibited apathy. When categorized according to the presence of apathy, the groups had significant differences in sex, diabetes diagnosis, and tobacco use. The apathy group also had worse cognitive performance and daily functioning than the non-apathy group as assessed, respectively, by MMSE and IADL/PSMS. Higher levels of interleukin-6, interleukin-10, and leptin were associated with higher odds of apathy. Conclusion: Apathy is associated with cognitive and functional status in AD. The association between apathy and peripheral inflammatory mediators deserves further investigation.
Collapse
Affiliation(s)
- Antonio L. Teixeira
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA
| | - Haitham Salem
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA
| | - Lais B. Martins
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA
| | - Mitzi M. Gonzales
- Biggs Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Sudha Seshadri
- Biggs Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Robert Suchting
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA
| |
Collapse
|
28
|
Duara R, Barker W. Heterogeneity in Alzheimer's Disease Diagnosis and Progression Rates: Implications for Therapeutic Trials. Neurotherapeutics 2022; 19:8-25. [PMID: 35084721 PMCID: PMC9130395 DOI: 10.1007/s13311-022-01185-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2022] [Indexed: 01/03/2023] Open
Abstract
The clinical presentation and the pathological processes underlying Alzheimer's disease (AD) can be very heterogeneous in severity, location, and composition including the amount and distribution of AB deposition and spread of neurofibrillary tangles in different brain regions resulting in atypical clinical patterns and the existence of distinct AD variants. Heterogeneity in AD may be related to demographic factors (such as age, sex, educational and socioeconomic level) and genetic factors, which influence underlying pathology, the cognitive and behavioral phenotype, rate of progression, the occurrence of neuropsychiatric features, and the presence of comorbidities (e.g., vascular disease, neuroinflammation). Heterogeneity is also manifest in the individual resilience to the development of neuropathology (brain reserve) and the ability to compensate for its cognitive and functional impact (cognitive and functional reserve). The variability in specific cognitive profiles and types of functional impairment may be associated with different progression rates, and standard measures assessing progression may not be equivalent for individual cognitive and functional profiles. Other factors, which may govern the presence, rate, and type of progression of AD, include the individuals' general medical health, the presence of specific systemic conditions, and lifestyle factors, including physical exercise, cognitive and social stimulation, amount of leisure activities, environmental stressors, such as toxins and pollution, and the effects of medications used to treat medical and behavioral conditions. These factors that affect progression are important to consider while designing a clinical trial to ensure, as far as possible, well-balanced treatment and control groups.
Collapse
Affiliation(s)
- Ranjan Duara
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
- Departments of Neurology, University of Florida College of Medicine, Gainesville, FL, USA
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Warren Barker
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA.
| |
Collapse
|
29
|
Roberto N, Portella MJ, Marquié M, Alegret M, Hernández I, Mauleón A, Rosende-Roca M, Abdelnour C, Esteban de Antonio E, Tartari JP, Vargas L, López-Cuevas R, Bojaryn U, Espinosa A, Ortega G, Pérez-Cordón A, Sanabria Á, Orellana A, de Rojas I, Moreno-Grau S, Montrreal L, Alarcón-Martín E, Ruíz A, Tárraga L, Boada M, Valero S. Neuropsychiatric Profile as a Predictor of Cognitive Decline in Mild Cognitive Impairment. Front Aging Neurosci 2021; 13:718949. [PMID: 34955804 PMCID: PMC8693625 DOI: 10.3389/fnagi.2021.718949] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/28/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Mild cognitive impairment is often associated with affective and other neuropsychiatric symptoms (NPS). This co-occurrence might have a relevant impact on disease progression, from MCI to dementia. Objective: The aim of this study was to explore the trajectories of cognitive decline in an MCI sample from a memory clinic, taking into consideration a perspective of isolated cognitive functions and based on NPS clusters, accounting for the different comorbid symptoms collected at their baseline visit. Methods: A total of 2,137 MCI patients were monitored over a 2.4-year period. Four clusters of NPS (i.e., Irritability, Apathy, Anxiety/Depression and Asymptomatic) were used to run linear mixed models to explore the interaction of cluster with time on cognitive trajectories using a comprehensive neuropsychological battery (NBACE) administered at baseline and at the three subsequent follow-ups. Results: A significant interaction between cluster and time in cognitive decline was found when verbal learning and cued-recall were explored (p = 0.002 for both memory functions). For verbal learning, the Irritability cluster had the largest effect size (0.69), whereas the Asymptomatic cluster showed the smallest effect size (0.22). For cued-recall, the Irritability cluster had the largest effect size among groups (0.64), and Anxiety/Depression had the smallest effect size (0.21). Conclusions: In MCI patients, the Irritability and Apathy NPS clusters shared similar patterns of worsening in memory functioning, which could point to these NPS as risk factors of a faster cognitive decline, acting as early prognostic markers and helping in the diagnostic process.
Collapse
Affiliation(s)
- Natalia Roberto
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Maria J Portella
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.,Department of Psychiatry, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Networking Research Center on Mental Health (CIBERSAM), Madrid, Spain
| | - Marta Marquié
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Montserrat Alegret
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Isabel Hernández
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Ana Mauleón
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Maitee Rosende-Roca
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Carla Abdelnour
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | | | - Juan P Tartari
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Liliana Vargas
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Rogelio López-Cuevas
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Urszula Bojaryn
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Ana Espinosa
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Gemma Ortega
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Alba Pérez-Cordón
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Ángela Sanabria
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Adelina Orellana
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Itziar de Rojas
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Sonia Moreno-Grau
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Laura Montrreal
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Emilio Alarcón-Martín
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Agustín Ruíz
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Lluís Tárraga
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Mercè Boada
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Sergi Valero
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| |
Collapse
|
30
|
Benussi A, Ashton NJ, Karikari TK, Alberici A, Saraceno C, Ghidoni R, Benussi L, Zetterberg H, Blennow K, Borroni B. Prodromal frontotemporal dementia: clinical features and predictors of progression. Alzheimers Res Ther 2021; 13:188. [PMID: 34782010 PMCID: PMC8594126 DOI: 10.1186/s13195-021-00932-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 11/04/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND The prodromal phase of frontotemporal dementia (FTD) is still not well characterized, and conversion rates to dementia and predictors of progression at 1-year follow-up are currently unknown. METHODS In this retrospective study, disease severity was assessed using the global CDR plus NACC FTLD. Prodromal FTD was defined to reflect mild cognitive or behavioural impairment with relatively preserved functional independence (global CDR plus NACC = 0.5) as well as mild, moderate and severe dementia (classified as global CDR plus NACC = 1, 2, 3, respectively). Disease progression at 1-year follow-up and serum NfL measurements were acquired in a subgroup of patients. RESULTS Of 563 participants, 138 were classified as prodromal FTD, 130 as mild, 175 as moderate and 120 as severe FTD. In the prodromal and mild phases, we observed an early increase in serum NfL levels followed by behavioural disturbances and deficits in executive functions. Negative symptoms, such as apathy, inflexibility and loss of insight, predominated in the prodromal phase. Serum NfL levels were significantly increased in the prodromal phase compared with healthy controls (average difference 14.5, 95% CI 2.9 to 26.1 pg/mL), but lower than in patients with mild FTD (average difference -15.5, 95% CI -28.4 to -2.7 pg/mL). At 1-year follow-up, 51.2% of patients in the prodromal phase had converted to dementia. Serum NfL measurements at baseline were the strongest predictors of disease progression at 1-year follow-up (OR 1.07, 95% CI 1.03 to 1.11, p < 0.001). CONCLUSIONS Prodromal FTD is a mutable stage with high rate of progression to fully symptomatic disease at 1-year follow-up. High serum NfL levels may support prodromal FTD diagnosis and represent a helpful marker to assess disease progression.
Collapse
Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy
| | - Nicholas J Ashton
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Mölndal, Sweden
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Thomas K Karikari
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Antonella Alberici
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy
| | - Claudia Saraceno
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy.
| |
Collapse
|
31
|
Lin RSY, Yu DSF, Li PWC, Chau PH, Lee JJ. Lived experience of neuropsychiatric symptoms among females with mild cognitive impairment: A phenomenological study. J Adv Nurs 2021; 78:1100-1111. [PMID: 34716611 DOI: 10.1111/jan.15088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/20/2021] [Accepted: 10/16/2021] [Indexed: 11/30/2022]
Abstract
AIMS To explore the lived experience of neuropsychiatric symptoms (NPS) among females with mild cognitive impairment (MCI). DESIGN A phenomenological study using individual, semi-structured, telephone-based interviews was conducted to explore how the NPS are aroused, evolve, and affect the overall well-being, illness perception and the corresponding coping responses adopted by females with MCI. METHODS Twenty-nine participants with MCI were recruited from the community setting in Hong Kong between March and October 2020. Interviews were audio-recorded, transcribed verbatim, and analysed using an interpretative phenomenological analysis approach and constant comparison strategy. RESULTS Three themes were identified: (1) living vigilant lives with threats and uncertainty, (2) snowballing into further negative emotions and (3) seeking outlets for negative emotions. Our findings suggested that the participants' cognitive, functional and social challenges aroused intense emotional responses such as depression, agitation and anxiety. These noting negative emotions were further perpetuated by maladaptive coping responses, unrealistic expectations from coping strategies and overwhelming disease burden. Various internal and external strategies were adopted to enhance emotional adaptation, of which adopting a positive attitude appeared to be the most promising strategy. CONCLUSION This study shed light on the challenging experience of MCI. The cognitive afflictions and the resultant impacts on various life domains evoked a cluster of NPS. Support services need to enhance emotional adjustment through alleviating the various life stressors and strengthening the coping resources. IMPACT Elucidating the lived experience of NPS provides important insights into the development of a more effective, comprehensive and person-centred care planning for the population with MCI. Holistic care planning should extend beyond cognitive health optimization into enhancing disease knowledge, improve emotional coping, rebuild self-identity and bolstering social supports among this preclinical cohort.
Collapse
Affiliation(s)
- Rose S Y Lin
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Doris S F Yu
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Polly W C Li
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Pui Hing Chau
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Jung Jae Lee
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| |
Collapse
|
32
|
König A, Mallick E, Tröger J, Linz N, Zeghari R, Manera V, Robert P. Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis. Eur Psychiatry 2021; 64:e64. [PMID: 34641989 PMCID: PMC8581700 DOI: 10.1192/j.eurpsy.2021.2236] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Certain neuropsychiatric symptoms (NPS), namely apathy, depression, and anxiety demonstrated great value in predicting dementia progression, representing eventually an opportunity window for timely diagnosis and treatment. However, sensitive and objective markers of these symptoms are still missing. Therefore, the present study aims to investigate the association between automatically extracted speech features and NPS in patients with mild neurocognitive disorders. METHODS Speech of 141 patients aged 65 or older with neurocognitive disorder was recorded while performing two short narrative speech tasks. NPS were assessed by the neuropsychiatric inventory. Paralinguistic markers relating to prosodic, formant, source, and temporal qualities of speech were automatically extracted, correlated with NPS. Machine learning experiments were carried out to validate the diagnostic power of extracted markers. RESULTS Different speech variables are associated with specific NPS; apathy correlates with temporal aspects, and anxiety with voice quality-and this was mostly consistent between male and female after correction for cognitive impairment. Machine learning regressors are able to extract information from speech features and perform above baseline in predicting anxiety, apathy, and depression scores. CONCLUSIONS Different NPS seem to be characterized by distinct speech features, which are easily extractable automatically from short vocal tasks. These findings support the use of speech analysis for detecting subtypes of NPS in patients with cognitive impairment. This could have great implications for the design of future clinical trials as this cost-effective method could allow more continuous and even remote monitoring of symptoms.
Collapse
Affiliation(s)
- Alexandra König
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Elisa Mallick
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Johannes Tröger
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Nicklas Linz
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Radia Zeghari
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Valeria Manera
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Philippe Robert
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| |
Collapse
|
33
|
The Apathy Evaluation Scale (AES-C): Psychometric Properties and Invariance of Italian Version in Mild Cognitive Impairment and Alzheimer's Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18189597. [PMID: 34574524 PMCID: PMC8467636 DOI: 10.3390/ijerph18189597] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/06/2021] [Accepted: 09/09/2021] [Indexed: 12/14/2022]
Abstract
Apathy is a neuropsychiatric symptom observed in different neurological and psychiatric disorders. Although apathy is considered a symptom, it has been recently reconsidered as a syndrome characterised by three dimensions: cognitive symptoms, affective symptoms and behavioural symptoms. Recent studies have shown that apathy can be considered as a prodromal symptom of Alzheimer's disease (AD), but also an indicator of the transition from mild cognitive impairment to AD. According to this scenario, an early detection of apathy in subjects with Mild Cognitive Impairment (MCI) and Mild AD can be a valid psychometric strategy to improve an early diagnosis and promote a prompt intervention. The Apathy Evaluation Scale is a validated tool composed of 18 items that assess and quantify emotional, behavioural and cognitive aspects of apathy. The aim of this study is to assess the specific reliability and validity of the Italian version of the Apathy Evaluation Scale-Clinician Version (AES-C) to detect apathy both in amnestic MCI and mild AD patients. In the present paper, we therefore examined the psychometric properties and the invariance of the Italian Version of the AES-C conducted on a sample composed of an experimental group of amnestic MCI and AD patients (N = 107) and a control group (N = 107) constituted by Age- and Sex-matched healthy controls. Results confirm the goodness of the scale. Confirmatory factory analysis confirmed that the AES-C Italian Version presents the same stability of one second-order factor and three first-order factors identified in the original version, and all items are predicted by a single general factor. Moreover, the scale was found to be invariant across both populations. Moreover, reliability and discriminant analysis showed good values. We found in the experimental group a negative correlation between the AES-C and Frontal Assessment Battery (FAB) (rs = -0.21, p < 0.001) and Mini Mental State Examination (MMSE) (rs = -0.04, p < 0.001), while a positive correlation was found between the AES-C and Hamilton psychiatric Rating scale for Depression (HAM-D) scores (rs = 0.58, p < 0.001) Overall, our data demonstrated the validity of the Italian version of the AES-C for the assessment of apathy both in MCI and in AD patients.
Collapse
|
34
|
Revisiting Apathy in Alzheimer's Disease: From Conceptualization to Therapeutic Approaches. Behav Neurol 2021; 2021:6319826. [PMID: 34394772 PMCID: PMC8356015 DOI: 10.1155/2021/6319826] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 07/02/2021] [Accepted: 07/28/2021] [Indexed: 11/24/2022] Open
Abstract
Apathy is a neurobehavioral syndrome characterized by impaired motivation for goal-directed behaviors and cognitive activity, alongside blunted affect. Apathy is a common neuropsychiatric syndrome in Alzheimer's disease (AD), with a 5-year prevalence over 70%. Apathy also serves as a prognostic indicator, correlating with the progression of AD. Despite advances in its conceptualization and understanding of its neural basis, there is very limited empirical evidence to support the available strategies for the treatment of apathy in AD. Given its complex pathophysiology, including distinct substrates for different apathy dimensions (affective, cognitive, and behavioral), it is unlikely that a single pharmacological or nonpharmacological strategy will be effective for all cases of apathy in AD. High-quality evidence research is needed to better understand the role of specific strategies aiming at a personalized approach.
Collapse
|
35
|
Pascual-Leone A. To Reduce the Risk of Dementia, Focus on the Patient. Ann Neurol 2021; 89:1080-1083. [PMID: 33866586 DOI: 10.1002/ana.26086] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 04/14/2021] [Indexed: 01/26/2023]
Affiliation(s)
- Alvaro Pascual-Leone
- Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health at Hebrew SeniorLife, Boston, MA.,Department of Neurology, Harvard Medical School, Boston, MA.,Guttmann Brain Health Institute, Institut Guttmann de Neurorehabilitació, Barcelona, Spain
| |
Collapse
|
36
|
Zhang M, Chen B, Zhong X, Zhou H, Wang Q, Mai N, Wu Z, Chen X, Peng Q, Zhang S, Yang M, Lin G, Ning Y. Neuropsychiatric Symptoms Exacerbate the Cognitive Impairments in Patients With Late-Life Depression. Front Psychiatry 2021; 12:757003. [PMID: 34867543 PMCID: PMC8639522 DOI: 10.3389/fpsyt.2021.757003] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/21/2021] [Indexed: 12/27/2022] Open
Abstract
Background: Neuropsychiatric symptoms (NPS) and cognitive impairments are both common in patients with late-life depression (LLD). However, the relationship between NPS and cognitive functions in LLD patients remains unclear. The current study aims to explore the effects of NPS on cognitive impairments in LLD patients. Methods: Two hundred and sixty-two LLD patients and 141 normal controls (NC) were recruited. Exploratory factor analysis was used to extract factors from the Neuropsychiatric Inventory (NPI). Correlation, mediation, and moderation analyses were used to explore whether NPS exacerbated the cognitive impairments in LLD and whether NPS exhibited different effects on cognitive impairments in acute-state LLD (aLLD) and recovery-state LLD (rLLD). Results: Three main factors were extracted from the NPI, including emotional, behavioral, and psychotic factors. The patients with LLD exhibited worse cognition and higher NPI scores, and the scores of NPI-total and three extracted factors were negatively associated with cognitive scores. The mediation analyses exhibited that NPI-total and behavioral factor scores increase the difference in cognition scores between LLD and NC groups. The mediation analyses exhibited that behavioral factor score played a greater effect on impairing MMSE in the rLLD group than in the aLLD group. Additionally, behavioral factor score was in a trend to be negatively associated with Mini-Mental State Examination (MMSE) score changes at a one-year follow-up (p = 0.051). Conclusions: NPS, especially behavioral symptoms, exacerbate cognitive impairments in LLD and may contribute to residual cognitive impairment in rLLD patients. Early intervention for behavioral symptoms in LLD patients may be beneficial to their long-term clinical prognosis.
Collapse
Affiliation(s)
- Min Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ben Chen
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaomei Zhong
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Huarong Zhou
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiang Wang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Naikeng Mai
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhangying Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinru Chen
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qi Peng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Si Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Minfeng Yang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Gaohong Lin
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.,The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| |
Collapse
|