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Bhat A, Biswas A, Das G, Lahiri D, Dubey S, Mukherjee A. Behavioral variations among vascular cognitive impairment subtypes - A comparative study. APPLIED NEUROPSYCHOLOGY-ADULT 2021; 30:439-446. [PMID: 34294015 DOI: 10.1080/23279095.2021.1954002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Dementia of vascular origin is a distinct variety with a heterogeneous neuropsychological profile. Very few studies have compared the behavioral dysfunction in the large vessel and small vessel vascular dementia (VaD) and studied the association between executive dysfunction and behavioral dysfunction documented in these patients, between the white matter load in small vessel disease (SVD) and the behavioral dysfunction. 76 patients having a modified Hachinski Ischemic Scale score of ≥ 4 were recruited and categorized into a small vessel and large vessel VaD. The Neuropsychiatric Inventory (NPI) score ≥ 4 per domain for defining clinically relevant symptoms and the Clinical Dementia Rating Scale (CDR) for evaluating the severity of dementia were used. Behavioral and Psychological Symptoms of Dementia (BPSD) were present in 66.67% of patients with SVD and 53.57% of those having large vessel disease. Apathy, euphoria, and disinhibition were more common in SVD, while appetite alterations were more common in large vessel disease. Behavioral dysfunction was also associated with executive dysfunction in both the VaD subtypes and with white matter loads in SVD. We conclude that different VaD subtypes have different behavioral profiles. This might help in understanding the underlying pathophysiology, diagnosis and thus better management of this disorder.
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Affiliation(s)
- Ashwani Bhat
- Department of Neurology, Institute of Postgraduate Medical Education and Research Bangur Institute of Neurology, Kolkata, India
| | - Atanu Biswas
- Department of Neurology, Institute of Postgraduate Medical Education and Research Bangur Institute of Neurology, Kolkata, India
| | - Gautam Das
- Department of Neurology, Institute of Postgraduate Medical Education and Research Bangur Institute of Neurology, Kolkata, India
| | - Durjoy Lahiri
- Department of Neurology, Institute of Postgraduate Medical Education and Research Bangur Institute of Neurology, Kolkata, India
| | - Souvik Dubey
- Department of Neurology, Institute of Postgraduate Medical Education and Research Bangur Institute of Neurology, Kolkata, India
| | - Adreesh Mukherjee
- Department of Neurology, Institute of Postgraduate Medical Education and Research Bangur Institute of Neurology, Kolkata, India
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Shdo SM, Ranasinghe KG, Sturm VE, Possin KL, Bettcher BM, Stephens ML, Foley JM, You SCC, Rosen HJ, Miller BL, Kramer JH, Rankin KP. Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages. Front Neurol 2020; 11:446. [PMID: 32547476 PMCID: PMC7273507 DOI: 10.3389/fneur.2020.00446] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 04/27/2020] [Indexed: 12/05/2022] Open
Abstract
Background: During early stages, patients with neurodegenerative diseases (NDG) often present with depressive symptoms. However, because depression is a heterogeneous disorder, more precise delineation of the specific depressive symptom profiles that arise early in distinct NDG syndromes is necessary to enhance patient diagnosis and care. Methods and Findings: Five-hundred and sixty four participants self-reported their depressive symptoms using the Geriatric Depression Scale (GDS), including 111 healthy older control subjects (NC) and 453 patients diagnosed with one of six NDGs who were at the mild stage of disease (CDR® Dementia Staging Instrument ≤ 1) [186 Alzheimer's disease (AD), 76 behavioral variant frontotemporal dementia (bvFTD), 52 semantic variant primary progressive aphasia (svPPA), 46 non-fluent variant PPA (nfvPPA), 49 progressive supranuclear palsy syndrome (PSPS), 44 corticobasal syndrome (CBS)]. The GDS was divided into subscales based on a previously published factor analysis, representing five symptoms (dysphoria, hopelessness, withdrawal, worry, and cognitive concerns). Mixed models were created to examine differences in depression subscale by group, and logistic regression analyses were performed to determine if patterns of depressive symptoms could predict a patient's NDG syndrome. PSPS patients presented with a hopeless, dysphoric, and withdrawn pattern, while patients with CBS presented with a similar but less severe pattern. Worry was a key symptom in the profile of patients with svPPA, while ADs only had abnormally elevated cognitive concerns. Depressive profile accurately predicted NDG diagnosis at a rate of between 70 and 84% accuracy. Conclusions: These results suggest that attention to specific depressive symptom profile can improve diagnostic sensitivity and can be used to provide more individualized patient care.
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Affiliation(s)
- Suzanne M. Shdo
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Kamalini G. Ranasinghe
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Virginia E. Sturm
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Katherine L. Possin
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Brianne M. Bettcher
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurology, University of Colorado School of Medicine, Denver, CO, United States
| | - Melanie L. Stephens
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Jessica M. Foley
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Shou-Chin Christine You
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Howard J. Rosen
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Bruce L. Miller
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Joel H. Kramer
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Katherine P. Rankin
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
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Abstract
REASONS FOR THE STUDY The Neuropsychiatric Inventory (NPI) has been used for studies of neuropsychiatric symptoms in neurodegenerative disorders for the past 25 years. This article reviews the history of the development and application of the NPI. MAIN FINDINGS The NPI consists of 10 (or 12) items that are assayed with questions, subquestions, and ratings of frequency and severity. The NPI has been shown to be valid and reliable. The NPI has been translated into approximately 40 languages; it has 4 of versions designed for different clinical applications. The NPI studies show contrasting profiles of behavioral symptoms in different neurologic disorders. The NPI has been used in approximately 350 clinical trials. In economic studies, the NPI captures the cost of behavioral symptoms in dementias. PRINCIPLE CONCLUSIONS The NPI is a useful instrument for capturing behavioral changes in Alzheimer disease and other neurodegenerative disorders.
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Affiliation(s)
- Jeffrey Cummings
- Department of Brain Health, School of integrated Health Sciences, UNLV, Las Vegas, NV, USA,Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, USA
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Hansson O, Santillo AF, Meeter LH, Nilsson K, Landqvist Waldö M, Nilsson C, Blennow K, van Swieten JC, Janelidze S. CSF placental growth factor - a novel candidate biomarker of frontotemporal dementia. Ann Clin Transl Neurol 2019; 6:863-872. [PMID: 31139684 PMCID: PMC6529985 DOI: 10.1002/acn3.763] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 01/30/2019] [Accepted: 02/15/2019] [Indexed: 12/12/2022] Open
Abstract
Objective Diagnosis of frontotemporal dementia (FTD) is complicated by the overlap of clinical symptoms with other dementia disorders. Development of robust fluid biomarkers is critical to improve the diagnostic work‐up of FTD. Methods CSF concentrations of placental growth factor (PlGF) were measured in the discovery cohort including patients with FTD (n = 27), Alzheimer disease (AD) dementia (n = 75), DLB or PDD (n = 47), subcortical vascular dementia (VaD, n = 33), mild cognitive impairment that later converted to AD (MCI‐AD, n = 34), stable MCI (sMCI, n = 62), and 50 cognitively healthy controls from the Swedish BioFINDER study. For validation, CSF PlGF was measured in additional independent cohort of FTD patients (n = 22) and controls (n = 18) from the Netherlands. Results In the discovery cohort, MCI, MCI‐AD, AD dementia, DLB‐PDD, VaD, and FTD patients all showed increased CSF levels of PlGF compared with controls (sMCI P = 0.019; MCI‐AD P = 0.005; AD dementia, DLB‐PDD, VaD, and FTD all P < 0.001). PlGF levels were 1.8–2.1‐fold higher in FTD than in AD, DLB‐PDD and VaD (all P < 0.001). PlGF distinguished with high accuracy FTD from controls and sMCI performing better than tau/Aβ42 (AUC 0.954–0.996 versus 0.564–0.754, P < 0.001). A combination of PlGF, tau, and Aβ42 (tau/Aβ42/PlGF) was more accurate than tau/Aβ42 when differentiating FTD from a group of other dementias (AUC 0.972 vs. 0.932, P < 0.01). Increased CSF levels of PlGF in FTD compared with controls were corroborated in the validation cohort. Interpretation CSF PlGF is increased in FTD compared with other dementia disorders, MCI, and healthy controls and might be useful as a diagnostic biomarker of FTD.
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Affiliation(s)
- Oskar Hansson
- Clinical Memory Research Unit Department of Clinical Sciences Malmö Lund University Malmö Sweden.,Memory Clinic Skåne University Hospital Malmö Sweden
| | - Alexander F Santillo
- Clinical Memory Research Unit Department of Clinical Sciences Malmö Lund University Malmö Sweden.,Memory Clinic Skåne University Hospital Malmö Sweden
| | - Lieke H Meeter
- Department of Neurology Erasmus Medical Center Rotterdam The Netherlands
| | - Karin Nilsson
- Clinical Memory Research Unit Department of Clinical Sciences Malmö Lund University Malmö Sweden
| | - Maria Landqvist Waldö
- Clinical Memory Research Unit Department of Clinical Sciences Malmö Lund University Malmö Sweden.,Clinical Sciences Helsingborg Department of Clinical Sciences Lund University Lund Sweden
| | - Christer Nilsson
- Clinical Memory Research Unit Department of Clinical Sciences Malmö Lund University Malmö Sweden.,Department of Neurology Skåne University Hospital Lund Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry The Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden.,Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden
| | - John C van Swieten
- Department of Neurology Erasmus Medical Center Rotterdam The Netherlands.,Department of Clinical Genetics VU University Medical Center Amsterdam The Netherlands
| | - Shorena Janelidze
- Clinical Memory Research Unit Department of Clinical Sciences Malmö Lund University Malmö Sweden
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Appetite, Metabolism and Hormonal Regulation in Normal Ageing and Dementia. Diseases 2018; 6:diseases6030066. [PMID: 30036957 PMCID: PMC6164971 DOI: 10.3390/diseases6030066] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2018] [Revised: 07/17/2018] [Accepted: 07/19/2018] [Indexed: 12/12/2022] Open
Abstract
Feeding and nutrition follow the growth trajectory of the course of life. The profound physiological changes that human body experiences during ageing affect separate aspects of food intake, from tastant perception to satiety. Concurrent morbidities, such as neurodegeneration, as seen in dementia, and metabolic syndrome, may further shape nutritional behaviours, status and adequacy. In an effort to fill the gap between the exhausting basic research and the actual needs of professionals caring for the exponentially expanding ageing population, the current review addresses major factors relevant to appetite and eating disturbances. Does age alter the perception of food modalities? Is food generally still perceived as alluring and delicious with age? Is there an interplay between ageing, cognitive decline, and malnutrition? What tools can we adopt for proper and timely monitoring? Finally, what anatomical and pathophysiological evidence exists to support a hypothesis of central regulation of metabolic perturbations in normal and accelerated cognitive impairment, and how can we benefit from it in health practice?
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