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Zuliani G, Zuin M, Romagnoli T, Polastri M, Cervellati C, Brombo G. Acetyl-cholinesterase-inhibitors reconsidered. A narrative review of post-marketing studies on Alzheimer's disease. Aging Clin Exp Res 2024; 36:23. [PMID: 38321321 PMCID: PMC10847178 DOI: 10.1007/s40520-023-02675-6] [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: 08/29/2023] [Accepted: 12/18/2023] [Indexed: 02/08/2024]
Abstract
The real efficacy of Acetyl-cholinesterase-inhibitors (AChEI) has been questioned. In this narrative review we evaluated their effect on cognitive decline, measured by Mini Mental State Examination (MMSE), and on total mortality rates in patients with Alzheimer's disease (AD) recruited into post-marketing open/non-randomized/retrospective studies. In AD patients treated with AChEI, the mean MMSE loss ranged from 0.2 to 1.37 points/years, compared with 1.07-3.4 points/years in non-treated patients. Six studies also reported data about survival; a reduction in total mortality relative risk between 27% and 42% was observed, over a period of 2-8 years. The type of studies and the use of MMSE to assess cognitive decline, may have introduced several biases. However, the clinical effects of AChEI seem to be of the same order of magnitude as the drugs currently used in most common chronic disorders, as regards progression of the disease and total mortality. In the absence of long-term randomized trials on "standard" unselected AD outpatients, open/retrospective studies and health databases represent the best available evidence on the possible effect of AChEI in the real-word setting. Our data support the clinical benefit of AChEI in older patients affected by AD.
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Affiliation(s)
- Giovanni Zuliani
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy
| | - Marco Zuin
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy
| | - Tommaso Romagnoli
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy
| | - Michele Polastri
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy
| | - Carlo Cervellati
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy.
| | - Gloria Brombo
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy
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Wu X, Yan Y, Hu P, Wang L, Wu Y, Wu P, Geng Z, Xiao G, Zhou S, Ji G, Qiu B, Wei L, Tian Y, Liu H, Wang K. Effects of a periodic intermittent theta burst stimulation in Alzheimer's disease. Gen Psychiatr 2024; 37:e101106. [PMID: 38274292 PMCID: PMC10806514 DOI: 10.1136/gpsych-2023-101106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 11/07/2023] [Indexed: 01/27/2024] Open
Abstract
Background Previous studies have demonstrated that excitatory repetitive transcranial magnetic stimulation (rTMS) can improve the cognitive function of patients with Alzheimer's disease (AD). Intermittent theta burst stimulation (iTBS) is a novel excitatory rTMS protocol for brain activity stimulation with the ability to induce long-term potentiation-like plasticity and represents a promising treatment for AD. However, the long-term effects of iTBS on cognitive decline and brain structure in patients with AD are unknown. Aims We aimed to explore whether repeating accelerated iTBS every three months could slow down the cognitive decline in patients with AD. Methods In this randomised, assessor-blinded, controlled trial, iTBS was administered to the left dorsolateral prefrontal cortex (DLPFC) of 42 patients with AD for 14 days every 13 weeks. Measurements included the Montreal Cognitive Assessment (MoCA), a comprehensive neuropsychological battery, and the grey matter volume (GMV) of the hippocampus. Patients were evaluated at baseline and after follow-up. The longitudinal pipeline of the Computational Anatomy Toolbox for SPM was used to detect significant treatment-related changes over time. Results The iTBS group maintained MoCA scores relative to the control group (t=3.26, p=0.013) and reduced hippocampal atrophy, which was significantly correlated with global degeneration scale changes. The baseline Mini-Mental State Examination (MMSE) score, apolipoprotein E genotype and Clinical Dementia Rating were indicative of MoCA scores at follow-up. Moreover, the GMV of the left (t=0.08, p=0.996) and right (t=0.19, p=0.977) hippocampus were maintained in the active group but significantly declined in the control group (left: t=4.13, p<0.001; right: t=5.31, p<0.001). GMV change in the left (r=0.35, p=0.023) and right (r=0.36, p=0.021) hippocampus across the intervention positively correlated with MoCA changes; left hippocampal GMV change was negatively correlated with global degeneration scale (r=-0.32, p=0.041) changes. Conclusions DLPFC-iTBS may be a feasible and easy-to-implement non-pharmacological intervention to slow down the progressive decline of overall cognition and quality of life in patients with AD, providing a new AD treatment option. Trial registration number NCT04754152.
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Affiliation(s)
- Xingqi Wu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Yibing Yan
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Panpan Hu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Lu Wang
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Yue Wu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Pan Wu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Zhi Geng
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Guixian Xiao
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Shanshan Zhou
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Gongjun Ji
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Bensheng Qiu
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui, China
| | - Ling Wei
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Yanghua Tian
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China
| | - Hesheng Liu
- Department of Neuroscience, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Kai Wang
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China
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Su Z, Zhang G, Li X, Zhang H. Inverse correlation between Alzheimer's disease and cancer from the perspective of hypoxia. Neurobiol Aging 2023; 131:59-73. [PMID: 37572528 DOI: 10.1016/j.neurobiolaging.2023.07.002] [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: 01/08/2023] [Revised: 06/02/2023] [Accepted: 07/03/2023] [Indexed: 08/14/2023]
Abstract
Sporadic Alzheimer's disease and cancer remain epidemiologically inversely related, and exploring the reverse pathogenesis is important for our understanding of both. Cognitive dysfunctions in Alzheimer's disease (AD) might result from the depletion of adaptive reserves in the brain. Energy storage in the brain is limited and is dynamically regulated by neurovascular and neurometabolic coupling. The research on neurodegenerative diseases has been dominated by the neurocentric view that neuronal defects cause the diseases. However, the proposal of the 2-hit vascular hypothesis in AD led us to focus on alterations in the vasculature, especially hypoperfusion. Chronic hypoxia is a feature shared by AD and cancer. It is interesting how contradicting chronic hypoxia's effects on both cancer and AD are. In this article, we discuss the potential links between the 2 diseases' etiology, from comparable upstream circumstances to diametrically opposed downstream effects. We suggest opposing potential mechanisms, including upregulation and downregulation of hypoxia-inducible factor-1α, the Warburg and reverse-Warburg effects, lactate-mediated intracellular acidic and alkaline conditions, and VDAC1-mediated apoptosis and antiapoptosis, and search for regulators that may be identified as the crossroads between cancer and AD.
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Affiliation(s)
- Zhan Su
- Department of Neurology and Neuroscience Centre, The First Hospital of Jilin University, Changchun, China
| | - Guimei Zhang
- Department of Neurology and Neuroscience Centre, The First Hospital of Jilin University, Changchun, China
| | - Xiangting Li
- Department of Neurology and Neuroscience Centre, The First Hospital of Jilin University, Changchun, China
| | - Haining Zhang
- Department of Neurology and Neuroscience Centre, The First Hospital of Jilin University, Changchun, China.
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Herden JM, Hermann P, Schmidt I, Dittmar K, Canaslan S, Weglage L, Nuhn S, Volpers C, Schlung A, Goebel S, Kück F, Villar-Piqué A, Schmidt C, Wedekind D, Zerr I. Comparative evaluation of clinical and cerebrospinal fluid biomarker characteristics in rapidly and non-rapidly progressive Alzheimer's disease. Alzheimers Res Ther 2023; 15:106. [PMID: 37291640 DOI: 10.1186/s13195-023-01249-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 05/25/2023] [Indexed: 06/10/2023]
Abstract
BACKGROUND Rapidly progressive forms of Alzheimer's disease (rpAD) are increasingly recognized and may have a prevalence of up to 30% of patients among all patients with Alzheimer's disease (AD). However, insights about risk factors, underlying pathophysiological processes, and clinical characteristics of rpAD remain controversial. This study aimed to gain a comprehensive picture of rpAD and new insights into the clinical manifestation to enable a better interpretation of disease courses in clinical practice as well as in future clinical studies. METHODS Patients (n = 228) from a prospective observational study on AD were selected and categorized into rpAD (n = 67) and non-rpAD (n = 161) disease groups. Patients were recruited through the German Creutzfeldt-Jakob disease surveillance center and the memory outpatient clinic of the Göttingen University Medical Center, representing diverse phenotypes of the AD population. Biomarkers and clinical presentation were assessed using standardized protocols. A drop of ≥ MMSE 6 points within 12 months defined rapid progressors. RESULTS Lower CSF Amyloid beta 1-42 concentrations (p = 0.048), lower Amyloid beta 42/40 ratio (p = 0.038), and higher Tau/Amyloid-beta 1-42 ratio, as well as pTau/Amyloid-beta 1-42 ratio (each p = 0.004) were associated with rpAD. Analyzes in a subset of the cohort (rpAD: n = 12; non-rpAD: n = 31) showed higher CSF NfL levels in rpAD (p = 0.024). Clinically, rpAD showed earlier impairment of functional abilities (p < 0.001) and higher scores on the Unified Parkinson's Disease Rating Scale III (p < 0.001), indicating pronounced extrapyramidal motor symptoms. Furthermore, cognitive profiles (adjusted for overall cognitive performance) indicated marked deficits in semantic (p = 0.008) and phonematic (0.023) verbal fluency tests as well as word list learning (p = 0.007) in rpAD compared to non-rpAD. The distribution of APOE genotypes did not differ significantly between groups. CONCLUSIONS Our results suggest that rpAD is associated with distinct cognitive profiles, earlier occurrence of non-cognitive symptoms, extrapyramidal motoric disturbance, and lower Amyloid-beta 1-42 concentrations in the CSF. The findings may help to characterize a distinct phenotype of rpAD and estimate prognosis based on clinical characteristics and biomarker results. However, an important future goal should be a unified definition for rpAD to enable targeted study designs and better comparability of the results.
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Affiliation(s)
- Janne Marieke Herden
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Peter Hermann
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany.
| | - Isabel Schmidt
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Kathrin Dittmar
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Sezgi Canaslan
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Luise Weglage
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Sabine Nuhn
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Corinna Volpers
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Astrid Schlung
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Stefan Goebel
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Fabian Kück
- Department of Medical Statistics, University Medical Center Göttingen, Humboldtallee 32, Göttingen, 37073, Germany
| | - Anna Villar-Piqué
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Christian Schmidt
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
- Neurologische Gemeinschaftspraxis Am Groner Tor, Göttingen, Germany
| | - Dirk Wedekind
- Department of Psychiatry and Psychotherapy, University Medical Center, Von-Siebold-Straße 5, Göttingen, 37075, Germany
| | - Inga Zerr
- Department of Neurology, Clinical Dementia Center and National Reference Center for CJD Surveillance, University Medical Center, Robert-Koch-Straße 40, Göttingen, 37075, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
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Lagarde J, Olivieri P, Tonietto M, Rodrigo S, Gervais P, Caillé F, Moussion M, Bottlaender M, Sarazin M. Could tau-PET imaging contribute to a better understanding of the different patterns of clinical progression in Alzheimer's disease? A 2-year longitudinal study. Alzheimers Res Ther 2023; 15:91. [PMID: 37138309 PMCID: PMC10155356 DOI: 10.1186/s13195-023-01237-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/27/2023] [Indexed: 05/05/2023]
Abstract
BACKGROUND Monitoring the progression of Tau pathology makes it possible to study the clinical diversity of Alzheimer's disease. In this 2-year longitudinal PET study, we aimed to determine the progression of [18F]-flortaucipir binding and of cortical atrophy, and their relationships with cognitive decline. METHODS Twenty-seven AD patients at the mild cognitive impairment/mild dementia stages and twelve amyloid-negative controls underwent a neuropsychological assessment, 3 T brain MRI, and [18F]-flortaucipir PET imaging (Tau1) and were monitored annually over 2 years with a second brain MRI and tau-PET imaging after 2 years (Tau2). We analyzed the progression of tau standardized uptake value ratio (SUVr) and grey matter atrophy both at the regional and voxelwise levels. We used mixed effects models to explore the relations between the progression of SUVr values, cortical atrophy, and cognitive decline. RESULTS We found an average longitudinal increase in tau SUVr values, except for the lateral temporoparietal cortex where the average SUVr values decreased. Individual analyses revealed distinct profiles of SUVr progression according to temporoparietal Tau1 uptake: high-Tau1 patients demonstrated an increase in SUVr values over time in the frontal lobe, but a decrease in the temporoparietal cortex and a rapid clinical decline, while low-Tau1 patients displayed an increase in SUVr values in all cortical regions and a slower clinical decline. Cognitive decline was strongly associated with the progression of regional cortical atrophy, but only weakly associated with SUVr progression. CONCLUSIONS Despite a relatively small sample size, our results suggest that tau-PET imaging could identify patients with a potentially "more aggressive" clinical course characterized by high temporoparietal Tau1 SUVr values and a rapid clinical progression. In these patients, the paradoxical decrease in temporoparietal SUVr values over time could be due to the rapid transition to ghost tangles, for which the affinity of the radiotracer is lower. They could particularly benefit from future therapeutic trials, the neuroimaging outcome measures of which deserve to be discussed.
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Affiliation(s)
- Julien Lagarde
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, 75014, Paris, France.
- Université Paris-Cité, 75006, Paris, France.
- Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, 91401, Orsay, Inserm, France.
| | - Pauline Olivieri
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, 75014, Paris, France
- Université Paris-Cité, 75006, Paris, France
- Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, 91401, Orsay, Inserm, France
| | - Matteo Tonietto
- Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, 91401, Orsay, Inserm, France
| | - Sébastian Rodrigo
- Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, 91401, Orsay, Inserm, France
| | - Philippe Gervais
- Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, 91401, Orsay, Inserm, France
| | - Fabien Caillé
- Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, 91401, Orsay, Inserm, France
| | - Martin Moussion
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, 75014, Paris, France
- Centre d'Evaluation Troubles Psychiques Et Vieillissement, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, Bâtiment Magnan, , 1 Rue Cabanis, 75014, Paris, France
| | - Michel Bottlaender
- Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, 91401, Orsay, Inserm, France
- Université Paris-Saclay, UNIACT, Neurospin, Joliot Institute, CEA, 91140, Gif Sur Yvette, France
| | - Marie Sarazin
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, 75014, Paris, France
- Université Paris-Cité, 75006, Paris, France
- Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, 91401, Orsay, Inserm, France
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Liu X, Sun Y, Zhang X, Liu P, Zhang K, Yu L, Su Y, Yuan Y, Ke Q, Peng G. Prevalence and outcomes of rapidly progressive dementia: a retrospective cohort study in a neurologic unit in China. BMC Geriatr 2023; 23:142. [PMID: 36918794 PMCID: PMC10012734 DOI: 10.1186/s12877-023-03841-1] [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: 09/15/2022] [Accepted: 02/22/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Rapidly progressive dementia (RPD) is a syndrome originating from various diseases. Recent advances have allowed a better understanding of its categories and spectrum; however, it remains challenging to make an accurate differential diagnosis and prognosis prediction. METHODS This study was a retrospective evaluation of all participants admitted to the neurology department of a single center in China from January 2015 to December 2019. The screened patients met the RPD criteria and their characteristics were collected to explore a diagnostic pattern of RPD. In addition, outcomes of RPD were evaluated with the Glasgow Outcome Scale (GOS), activities of daily living scale (ADL), and simplified Mini-Mental State Examination (MMSE), and different prognostic analysis methods were performed to determine the prognostic factors of RPD. RESULTS A total of 149 RPD patients among 15,731 inpatients were identified with an average MMSE value of 13.0 ± 4.6 at baseline. Etiological epidemiology revealed infectious, neurodegenerative and toxic/metabolic diseases as the three largest groups, accounting for 26.2%, 20.8% and 16.8% of all cases, respectively. In particular, prevalence rates of Creutzfeldt-Jakob disease (13.4%), Alzheimer's disease (11.4%), carbon monoxide poisoning (8.1%), neurosyphilis (5.4%) and dementia with Lewy bodies (5.4%) were highest in this series. A recommended diagnostic framework for RPD etiology was thus established. Follow-up evaluations showed a negative correlation between age and GOS scores (r=-0.421, P < 0.001), as well as age and simplified MMSE scores (rs =- 0.393, P < 0.001), and a positive correlation between age and ADL scores (rs =0.503, P < 0.001), and significantly different GOS, ADL and simplified MMSE scores across various etiologies (P = 0.003; F = 9.463, P < 0.001; F = 6.117, P < 0.001). CONCLUSION Infectious, neurodegenerative and toxic-metabolic entities were the most common RPD categories, and establishing a practical approach to RPD etiology would allow better disease management.
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Affiliation(s)
- Xiaoyan Liu
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China.
| | - Yan Sun
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China
| | - Xuyan Zhang
- Department of Neurology, Haining People's hospital, Jiaxing, China
| | - Ping Liu
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China
| | - Kan Zhang
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China
| | - Lihua Yu
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China
| | - Yujie Su
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China
| | - Yuan Yuan
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China
| | - Qing Ke
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China
| | - Guoping Peng
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No.79, 310009, Hangzhou, China.
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7
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Santangelo R, Agosta F, Masi F, Spinelli EG, Cecchetti G, Caso F, Mandelli A, Cardamone R, Barbieri A, Furlan R, Magnani G, Filippi M. Plasma neurofilament light chain levels and cognitive testing as predictors of fast progression in Alzheimer's disease. Eur J Neurol 2021; 28:2980-2988. [PMID: 34176186 DOI: 10.1111/ene.14999] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is characterized by a heterogeneous course. Predicting a fast rather than a slow decline over time is crucial to both provide a reliable prognosis and elaborate stricter enrolment criteria in clinical trials. Here we searched for independent predictors of cognitive decline rate to assess the risk of fast disease progression already at baseline. METHODS Fifty-three subjects with an "in-vivo biomarker confirmed" diagnosis of AD were included. Neuropsychological assessment, plasma neurofilaments (NfL) concentrations and, in a subsample of 23 patients, brain magnetic resonance imaging were available. Patients were labelled FAST or SLOW depending on the Mini-Mental State Examination (MMSE) points lost per year (FAST if more than 3 points). We adopted single logistic regression models to search for independent predictors of FAST progression. RESULTS At baseline no differences were found between FAST and SLOW subgroups in demographics, MMSE scores, vascular burden and medial temporal lobe atrophy measurements. Higher plasma NfL concentrations and worse scores at semantic verbal fluency (SVF) and clock drawing test (CDT) were independent predictors of FAST decline, after controlling for age, education, sex and baseline disease severity stage. The regression model combining all the predictors correctly classified 80% of patients overall. The risk of FAST decline was 81.2% if all the three predictors were abnormal (i.e., SVF ≤21.5, CDT ≤5.5, NfL ≥22.19). CONCLUSIONS An easily applicable algorithm, including plasma NfL measurement and two neuropsychological tests worldwide adopted in clinical practice (SVF and CDT), may allow clinicians to reliably stratify AD patients in relation to the risk of fast cognitive decline.
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Affiliation(s)
- Roberto Santangelo
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Francesco Masi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Edoardo Gioele Spinelli
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Giordano Cecchetti
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Francesca Caso
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandra Mandelli
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | | | - Roberto Furlan
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giuseppe Magnani
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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8
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Kowalska M, Wize K, Prendecki M, Lianeri M, Kozubski W, Dorszewska J. Genetic Variants and Oxidative Stress in Alzheimer's Disease. Curr Alzheimer Res 2021; 17:208-223. [PMID: 32091332 DOI: 10.2174/1567205017666200224121447] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 01/08/2020] [Accepted: 02/12/2020] [Indexed: 12/26/2022]
Abstract
In an aging society, the number of people suffering from Alzheimer's Disease (AD) is still growing. Currently, intensive research is being carried out on the pathogenesis of AD. The results of these studies indicated that oxidative stress plays an important role in the onset and development of this disease. Moreover, in AD oxidative stress is generated by both genetic and biochemical factors as well as the functioning of the systems responsible for their formation and removal. The genetic factors associated with the regulation of the redox system include TOMM40, APOE, LPR, MAPT, APP, PSEN1 and PSEN2 genes. The most important biochemical parameters related to the formation of oxidative species in AD are p53, Homocysteine (Hcy) and a number of others. The formation of Reactive Oxygen Species (ROS) is also related to the efficiency of the DNA repair system, the effectiveness of the apoptosis, autophagy and mitophagy processes as well as the antioxidant potential. However, these factors are responsible for the development of many disorders, often with similar clinical symptoms, especially in the early stages of the disease. The discovery of markers of the early diagnosis of AD may contribute to the introduction of pharmacotherapy and slow down the progression of this disease.
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Affiliation(s)
- Marta Kowalska
- Laboratory of Neurobiology, Poznan University of Medical Sciences, Poznan, Poland
| | - Katarzyna Wize
- Laboratory of Neurobiology, Poznan University of Medical Sciences, Poznan, Poland
| | - Michał Prendecki
- Laboratory of Neurobiology, Poznan University of Medical Sciences, Poznan, Poland
| | - Margarita Lianeri
- Laboratory of Neurobiology, Poznan University of Medical Sciences, Poznan, Poland
| | - Wojciech Kozubski
- Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
| | - Jolanta Dorszewska
- Laboratory of Neurobiology, Poznan University of Medical Sciences, Poznan, Poland
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9
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Perera G, Mueller C, Stewart R. Factors associated with slow progression of cognitive impairment following first dementia diagnosis. Int J Geriatr Psychiatry 2021; 36:271-285. [PMID: 32881117 DOI: 10.1002/gps.5420] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 08/31/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To investigate the extent to which slow progression of dementia after diagnosis might be predicted from routine longitudinal healthcare data, in order to clarify characteristics of people who experience this outcome. METHODS A retrospective observational study was conducted using data from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre Case Register. This study included all patients receiving a first dementia diagnosis between 2006 and 2017, restricted to those with a baseline Mini-Mental State Examination (MMSE) score within 6 months of initial diagnosis of dementia and at least one MMSE score after 3 years post-diagnosis. Slow progression was defined as a change in MMSE score of -1, 0 or an increase at the follow-up point. This group was compared to the remainder with an MMSE decline of -2 or more. RESULTS Overall, 682 patients with slow progression were compared to 1045 with faster progression. In the confounder-adjusted multivariate logistic regression model, slow progression was more likely in younger patients (age 65-74 years; odds ratio: 1.18; 95% confidence intervals: 1.04-1.37), males (1.24; 1.01-1.53), those with moderate or severe dementia according to MMSE, patients with mixed-type dementia (2.06; 1.11-3.82) compared to Alzheimer's disease and less likely in those receiving acetylcholinesterase inhibitor (AChEI) treatment (0.57; 0.46-0.71). CONCLUSION Slow dementia progression after diagnosis was common in patients with mixed Alzheimer's and vascular dementia, younger age, males and non-receipt of AChEIs, possibly suggesting non-Alzheimer pathologies and clarifying such predictors is important, as there is currently very limited information on which to base prognosis estimates in post-diagnosis counselling.
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Affiliation(s)
- Gayan Perera
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christoph Mueller
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Robert Stewart
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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10
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Loeffler DA. Modifiable, Non-Modifiable, and Clinical Factors Associated with Progression of Alzheimer's Disease. J Alzheimers Dis 2021; 80:1-27. [PMID: 33459643 DOI: 10.3233/jad-201182] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
There is an extensive literature relating to factors associated with the development of Alzheimer's disease (AD), but less is known about factors which may contribute to its progression. This review examined the literature with regard to 15 factors which were suggested by PubMed search to be positively associated with the cognitive and/or neuropathological progression of AD. The factors were grouped as potentially modifiable (vascular risk factors, comorbidities, malnutrition, educational level, inflammation, and oxidative stress), non-modifiable (age at clinical onset, family history of dementia, gender, Apolipoprotein E ɛ4, genetic variants, and altered gene regulation), and clinical (baseline cognitive level, neuropsychiatric symptoms, and extrapyramidal signs). Although conflicting results were found for the majority of factors, a positive association was found in nearly all studies which investigated the relationship of six factors to AD progression: malnutrition, genetic variants, altered gene regulation, baseline cognitive level, neuropsychiatric symptoms, and extrapyramidal signs. Whether these or other factors which have been suggested to be associated with AD progression actually influence the rate of decline of AD patients is unclear. Therapeutic approaches which include addressing of modifiable factors associated with AD progression should be considered.
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Affiliation(s)
- David A Loeffler
- Beaumont Research Institute, Department of Neurology, Beaumont Health, Royal Oak, MI, USA
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11
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Gan J, Liu S, Wu H, Chen Z, Fei M, Xu J, Dou Y, Wang X, Ji Y. The Impact of the COVID-19 Pandemic on Alzheimer's Disease and Other Dementias. Front Psychiatry 2021; 12:703481. [PMID: 34335338 PMCID: PMC8317553 DOI: 10.3389/fpsyt.2021.703481] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/22/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Numerous countries went into lockdown to contain the COVID-19 outbreak, which has impeded follow-up of chronic diseases, such as cognitive impairment (CI). Cognitive and neuropsychiatric changes during the COVID-19 pandemic are neglected in China, which is the world's whistleblower. To investigate the cognitive and neuropsychologic changes in CI, as well as the proportions of rapid cognitive decline (RCD) before and during the COVID-19 pandemic to provide clinical evidence for CI intervention during a public health emergency. Methods: We performed a descriptive and retrospective study based on medical records from the memory clinic of Tianjin Dementia Institute collected through face-to-face evaluations. Information of 205 patients with CI, including patients with mild cognitive impairment and dementia, of whom 131 with Alzheimer's disease (AD) were analyzed and compared to a control group before the COVID-19 pandemic. Results: Among the 205 CI patients, the scores on the Chinese Mini Mental State Examination (C-MMSE), the Montreal Cognitive Assessment (MoCA), activities of daily living (ADLs), and the global Neuropsychiatric Inventory (NPI) were significantly different at the baseline and follow-up evaluations (p < 0.05) after 14.07 (±2.87) months. The same findings were recorded among AD patients, and they exhibited more sleep disturbances at the follow-up than at baseline (32.8 vs. 20.6%, p = 0.035). When compared to the control group, slightly worse performance of cognitive, -1.00 (-4.00, 1.00) from the C-MMSE, -1.00 (-2.00, 0.00) on the MoCA, 1.00 (0.00, 9.00) on ADLs and neuropsychological 0.00 (-1.00, 3.50) on the global NPI profile, at the follow-up were presented, particularly for delusion, agitation, irritability, and appetite disturbances (p < 0.05). Twenty-five (19.1%) AD patients and 48 (36.6%) controls suffered RCD during the COVID-19 pandemic. Moreover, AD patients during the COVID-19 pandemic were 0.408 times (95% confidence interval: 0.232-0.716) less likely to suffer RCD than the control. Conclusion: Confinement might ease the cognitive and neuropsychiatric deterioration of AD patients compared to those not in crisis and help prevent RCD in AD patients.
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Affiliation(s)
- Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuai Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.,Graduate School of Tianjin Medical University, Tianjin, China
| | - Hao Wu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.,Graduate School of Tianjin Medical University, Tianjin, China
| | - Zhichao Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Min Fei
- Graduate School of Tianjin Medical University, Tianjin, China.,Department of Neurology, Yuncheng Central Hospital of Shanxi Province, Shanxi, China
| | - Junying Xu
- Department of Neurology, Tianjin Baodi People's Hospital, Tianjin, China
| | - Yuchao Dou
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Xiaodan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Yong Ji
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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12
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Perioperative probiotic treatment decreased the incidence of postoperative cognitive impairment in elderly patients following non-cardiac surgery: A randomised double-blind and placebo-controlled trial. Clin Nutr 2020; 40:64-71. [PMID: 32451125 DOI: 10.1016/j.clnu.2020.05.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 04/01/2020] [Accepted: 05/04/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Given that population aging is a global health challenge, the high prevalence of postoperative neurocognitive impairment in elderly patients necessitates the development of novel simple and effective prevention methods. OBJECTIVE To evaluate the effects of perioperative application of oral probiotic as a prophylaxis for cognitive impairment in elderly patients following non-cardiac surgery. METHODS This randomised double-blind and placebo-controlled trial included 120 elderly patients (in a modified intention-to-treat analysis) scheduled for elective orthopaedic or colorectal surgery. Patients were assigned to receive either probiotics or a placebo from hospital admission until discharge. The primary endpoint was the incidence of postoperative cognitive impairment, defined as a decrease of ≥3 points in the Mini-Mental State Examination (MMSE) scores from admission baseline to the 7th day post-surgery. Secondary endpoints included changes in plasma interleukin-6 (IL-6) and cortisol, postoperative pain intensity, postoperative sleep quality, gastrointestinal function recovery, and faecal microbiota composition. RESULTS The incidence of postoperative cognitive impairment in the probiotic group was significantly lower than in the control group (3 of 59 patients [5.1%] vs. 10 of 61 patients [16.4%], P = 0.046). In addition, compared to pre-surgery, the levels of plasma IL-6 and cortisol in the probiotic group decreased more than in the control group 5-7 days after surgery (IL-6: -117.90 ± 49.15 vs. -14.93 ± 15.21, P = 0.044; cortisol: -158.70 ± 53.52 vs. 40.98 ± 72.48, P = 0.010). Relative abundance at the genus level in the faeces of the probiotic group also changed more than in that of the control group during the perioperative period. In contrast, postoperative pain intensity, sleep quality, and gastrointestinal function recovery did not differ significantly between the two groups. CONCLUSION Perioperative application of oral probiotic prevents postoperative cognitive impairment in elderly patients following non-cardiac surgery, possibly via the limitation of peripheral inflammation and the stress response.
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13
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Nance C, Ritter A, Miller JB, Lapin B, Banks SJ. The Pathology of Rapid Cognitive Decline in Clinically Diagnosed Alzheimer's Disease. J Alzheimers Dis 2019; 70:983-993. [PMID: 31306127 PMCID: PMC7306887 DOI: 10.3233/jad-190302] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/30/2019] [Indexed: 01/15/2023]
Abstract
BACKGROUND Variable rate of cognitive decline among individuals with Alzheimer's disease (AD) is an important consideration for disease management, but risk factors for rapid cognitive decline (RCD) are without consensus. OBJECTIVE To investigate demographic, clinical, and pathological differences between RCD and normal rates of cognitive decline (NCD) in AD. METHODS Neuropsychology test and autopsy data was pulled from the National Alzheimer's Coordinating Center database from individuals with a clinical diagnosis of AD. Individuals with average decline of 3 or more points on the Mini-Mental Status Examination (MMSE) per year over 3 years were labeled RCD; all others were NCD. RESULTS Sixty individuals identified as RCD; 230 as NCD. These neuropsychology tests differed at baseline (RCD versus NCD): WMS-LM Immediate Recall (4.35[3.39] versus 6.31[3.97], p < 0.001), Animal Naming (12.1[4.83] versus 13.9[4.83], p = 0.007), TMT Part B (187[86.1] versus 159[79.0], p = 0.02), WAIS-Digit Symbol (29.5[11.3] versus 29.5[11.3], p = 0.04), and the BNT (21.5[7.05] versus 23.6[5.09], p = 0.04). RCD had more thyroid disease (30% versus 16%, p = 0.01) and greater usage of AD medication at baseline (80% versus 62%, p = 0.01). RCD had more severe cerebral amyloid angiopathy (1.62[1.0] versus 1.13[1.0], p = 0.002), more neocortical Lewy bodies (20% versus 10%, p = 0.04), and more atrophy (1.54[0.92] versus 1.17[0.83], p = 0.04). A model combining select variables was significant above chance (χ2 = 25.8, p = 0.002), but not to clinical utility (AUC < 0.70; 95% CI). CONCLUSION Individuals with RCD have more severe pathology, more comorbidities, and lower baseline neuropsychology test scores of language and executive function.
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Affiliation(s)
- Christin Nance
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Aaron Ritter
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Justin B. Miller
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Brittany Lapin
- Cleveland Clinic Department of Quantitative Health Sciences, Cleveland, OH, USA
| | - Sarah J. Banks
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
- University of California, San Diego Department of Neurosciences, San Diego, CA, USA
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14
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Song YN, Wang P, Xu W, Li JQ, Cao XP, Yu JT, Tan L. Risk Factors of Rapid Cognitive Decline in Alzheimer’s Disease and Mild Cognitive Impairment: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2018; 66:497-515. [PMID: 30320579 DOI: 10.3233/jad-180476] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Ya-Nan Song
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ping Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Xu
- College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China
| | - Jie-Qiong Li
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xi-Peng Cao
- Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China
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15
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Tchalla AE, Clément JP, Saulnier I, Beaumatin B, Lachal F, Gayot C, Bosetti A, Desormais I, Perrochon A, Preux PM, Couratier P, Dantoine T. Predictors of Rapid Cognitive Decline in Patients with Mild-to-Moderate Alzheimer Disease: A Prospective Cohort Study with 12-Month Follow-Up Performed in Memory Clinics. Dement Geriatr Cogn Disord 2018; 45:56-65. [PMID: 29684916 DOI: 10.1159/000487938] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 02/22/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Alzheimer disease (AD) is particularly devastating, with no cure, no means of prevention, and no proven way to slow progression. AD is associated with the worsening of cognitive function attributable to a variety of factors of which little is known. Our main objective was to determine factors associated with rapid cognitive decline (RCD) in older AD patients. METHODS We conducted a 12-month, prospective, multi-centre cohort study. Community-living individuals aged ≥65 years with mild-to-moderate AD were included. RCD was defined as the loss of ≥3 points/year in the Mini-Mental State Examination (MMSE) score. Potential individual-level predictors were collected at baseline. RESULTS A total of 521 individuals were included. The mean age was 80.8 ± 9.0 years and 66.0% were females. The average baseline MMSE score was 20.5 ± 4.5. The incidence of RCD was 40.9% (95% confidence interval [CI], 36.7-45.1). RCD was more common in patients with moderate (53.5%) than mild (22.3%) AD. The factors associated with RCD were: a parental history of dementia (odds ratio [OR], 2.32 [95% CI, 1.24-4.21], p = 0.011), psychotic symptoms (OR, 2.06 [95% CI, 1.22-3.48], p = 0.007), malnutrition (OR, 1.61 [95% CI, 1.06-2.63], p = 0.028), and the female gender (OR, 1.48 [95% CI, 1.03-2.15], p = 0.036). An MMSE score < 20 at treatment onset was also associated with RCD (p < 0.001). CONCLUSION The factors associated with RCD were an MMSE score < 20 at treatment onset, female gender, psychotic symptoms, malnutrition, and a family history of dementia. These results may be directly relevant to patients, their families, and their physicians, enabling early anticipation of difficult clinical trajectories and poor functional outcomes.
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Affiliation(s)
- Achille E Tchalla
- CHU de Limoges, Pôle HU Gérontologie Clinique, Limoges, France.,Université de Limoges, EA 6310 HAVAE Handicap Activité Vieillissement Autonomie Environnement, Limoges, France.,Centre de Mémoire de Recherche et de Ressources (CMRR) du Limousin, CHU de Limoges, Limoges, France
| | - Jean-Pierre Clément
- Centre de Mémoire de Recherche et de Ressources (CMRR) du Limousin, CHU de Limoges, Limoges, France.,Université de Limoges, IFR 145 GEIST, Institut d'Epidémiologie Neurologique et de Neurologie Tropicale, INSERM, UMR 1094 NeuroEpidemiologie Tropicale, Limoges, France
| | - Isabelle Saulnier
- CHU de Limoges, Pôle HU Gérontologie Clinique, Limoges, France.,Université de Limoges, EA 6310 HAVAE Handicap Activité Vieillissement Autonomie Environnement, Limoges, France.,Centre de Mémoire de Recherche et de Ressources (CMRR) du Limousin, CHU de Limoges, Limoges, France
| | - Betty Beaumatin
- CHU de Limoges, Pôle HU Gérontologie Clinique, Limoges, France.,Centre de Mémoire de Recherche et de Ressources (CMRR) du Limousin, CHU de Limoges, Limoges, France
| | - Florent Lachal
- CHU de Limoges, Pôle HU Gérontologie Clinique, Limoges, France.,Université de Limoges, EA 6310 HAVAE Handicap Activité Vieillissement Autonomie Environnement, Limoges, France
| | - Caroline Gayot
- CHU de Limoges, Pôle HU Gérontologie Clinique, Limoges, France
| | - Anaïs Bosetti
- CHU de Limoges, Pôle HU Gérontologie Clinique, Limoges, France
| | - Iléana Desormais
- Université de Limoges, IFR 145 GEIST, Institut d'Epidémiologie Neurologique et de Neurologie Tropicale, INSERM, UMR 1094 NeuroEpidemiologie Tropicale, Limoges, France
| | - Anaïck Perrochon
- Université de Limoges, EA 6310 HAVAE Handicap Activité Vieillissement Autonomie Environnement, Limoges, France
| | - Pierre-Marie Preux
- Université de Limoges, IFR 145 GEIST, Institut d'Epidémiologie Neurologique et de Neurologie Tropicale, INSERM, UMR 1094 NeuroEpidemiologie Tropicale, Limoges, France
| | - Philippe Couratier
- Centre de Mémoire de Recherche et de Ressources (CMRR) du Limousin, CHU de Limoges, Limoges, France.,Université de Limoges, IFR 145 GEIST, Institut d'Epidémiologie Neurologique et de Neurologie Tropicale, INSERM, UMR 1094 NeuroEpidemiologie Tropicale, Limoges, France
| | - Thierry Dantoine
- CHU de Limoges, Pôle HU Gérontologie Clinique, Limoges, France.,Université de Limoges, EA 6310 HAVAE Handicap Activité Vieillissement Autonomie Environnement, Limoges, France.,Centre de Mémoire de Recherche et de Ressources (CMRR) du Limousin, CHU de Limoges, Limoges, France
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16
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Khachaturian AS. Letter. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2017; 9:84-87. [PMID: 29255790 PMCID: PMC5725207 DOI: 10.1016/j.dadm.2017.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Ara S. Khachaturian
- Corresponding author. Tel.: 301-309-6730; Fax: (844) 309-6730. http://www.alzheimersanddementia.orghttp://adj.edmgr.com
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