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Gjestad E, Nerdal V, Saltvedt I, Lydersen S, Kliem E, Ryum T, Grambaite R. Delirium in acute stroke is associated with increased cognitive and psychiatric symptoms over time: The Nor-COAST study. J Stroke Cerebrovasc Dis 2024; 33:107667. [PMID: 38423153 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107667] [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: 10/09/2023] [Revised: 01/21/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Delirium, an acute and fluctuating mental disturbance of attention, cognition, and consciousness, commonly occurs in acute stroke. Research on long-term outcomes of stroke patients experiencing delirium is limited, especially regarding cognitive and psychiatric symptoms. METHODS As part of the Nor-COAST study, 373 patients were screened for delirium using the Confusion Assessment Method (CAM) in the acute phase of stroke. Patients were included in the mixed-model linear regression analyses if they had available data from the follow-ups at three, 18 or 36 months, totaling 334 (44.6 % women, mean (SD) age: 72.1 (12.5) years, 17 (5.1 %) diagnosed with delirium). Global cognition was measured using the Montreal Cognitive Assessment (MoCA). Psychiatric symptoms were measured using the Hospital Anxiety and Depression Scale (HADS) and the Neuropsychiatric Inventory-Questionnaire (NPI-Q). RESULTS At three months, delirium was associated with a higher NPI-Q score (Mean (SD) 2.9 (3.6) vs 1.4 (2.2)). At 18 and 36 months, delirium was associated with a lower MoCA score (Mean (SD) 19.7 (6.6) vs 24.3 (5.0), and 20.6 (7.6) vs 24.6 (4.8)), higher HADS anxiety symptoms (5.0 (4.3) vs 3.3 (3.3), and 5.9 (4.1) vs 3.4 (3.6)), higher HADS depression symptoms (7.2 (4.7) vs 3.4 (3.3), and 6.6 (5.1) vs 3.7 (3.7)), and higher NPI-Q score (2.4 (4.4) vs 1.7 (2.3), 2.6 (4.5) vs 1.0 (1.9)). Delirium significantly predicted the psychiatric symptoms hallucinations and agitation. CONCLUSIONS Patients with delirium in the acute phase of stroke may be particularly vulnerable to developing cognitive and psychiatric symptoms in the chronic phase.
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Affiliation(s)
- Elise Gjestad
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway; Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Vilde Nerdal
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway; Department of Geriatrics, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Stian Lydersen
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Elisabeth Kliem
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway; Health Services Research Unit (HØKH), Akershus University Hospital, Lørenskog, Norway
| | - Truls Ryum
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ramune Grambaite
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway; Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway; Health Services Research Unit (HØKH), Akershus University Hospital, Lørenskog, Norway.
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Boucher E, Jell A, Singh S, Davies J, Smith T, Pill A, Varnai K, Woods K, Walliker D, McColl A, Shepperd S, Pendlebury S. Protocol for the Development and Analysis of the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR). BMJ Open 2024; 14:e085126. [PMID: 38816052 PMCID: PMC11141189 DOI: 10.1136/bmjopen-2024-085126] [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: 02/13/2024] [Accepted: 05/01/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Hospital electronic patient records (EPRs) offer the opportunity to exploit large-scale routinely acquired data at relatively low cost and without selection. EPRs provide considerably richer data, and in real-time, than retrospective administrative data sets in which clinical complexity is often poorly captured. With population ageing, a wide range of hospital specialties now manage older people with multimorbidity, frailty and associated poor outcomes. We, therefore, set-up the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR) to facilitate clinically meaningful research in older hospital patients, including algorithm development, and to aid medical decision-making, implementation of guidelines, and inform policy. METHODS AND ANALYSIS ORCHARD-EPR uses routinely acquired individual patient data on all patients aged ≥65 years with unplanned admission or Same Day Emergency Care unit attendance at four acute general hospitals serving a population of >800 000 (Oxfordshire, UK) with planned extension to the neighbouring Berkshire regional hospitals (>1 000 000). Data fields include diagnosis, comorbidities, nursing risk assessments, frailty, observations, illness acuity, laboratory tests and brain scan images. Importantly, ORCHARD-EPR contains the results from mandatory hospital-wide cognitive screening (≥70 years) comprising the 10-point Abbreviated-Mental-Test and dementia and delirium diagnosis (Confusion Assessment Method-CAM). Outcomes include length of stay, delayed transfers of care, discharge destination, readmissions and death. The rich multimodal data are further enhanced by linkage to secondary care electronic mental health records. Selection of appropriate subgroups or linkage to existing cohorts allows disease-specific studies. Over 200 000 patient episodes are included to date with data collection ongoing of which 129 248 are admissions with a length of stay ≥1 day in 64 641 unique patients. ETHICS AND DISSEMINATION ORCHARD-EPR is approved by the South Central Oxford C Research Ethics Committee (ref: 23/SC/0258). Results will be widely disseminated through peer-reviewed publications and presentations at conferences, and regional meetings to improve hospital data quality and clinical services.
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Affiliation(s)
- Emily Boucher
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Aimee Jell
- Informatics Department, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Sudhir Singh
- Department of Acute General (Internal) Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Department of Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jim Davies
- Department of Computer Science, University of Oxford, Oxford, UK
| | - Tanya Smith
- Research Informatics Team, Research and Development Department, Oxford Health NHS Foundation Trust, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | - Adam Pill
- Research Informatics Team, Research and Development Department, Oxford Health NHS Foundation Trust, Oxford, UK
| | - Kinga Varnai
- Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Kerrie Woods
- Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - David Walliker
- Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Aubretia McColl
- Department of Acute Medicine, Royal Berkshire NHS Foundation Trust, Reading, UK
- Department of Elderly Care Medicine, Royal Berkshire NHS Hospital Foundation Trust, Reading, UK
| | - Sasha Shepperd
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Acute General (Internal) Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Department of Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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Yan M, Lin Z, Zheng H, Lai J, Liu Y, Lin Z. Development of an individualized model for predicting postoperative delirium in elderly patients with hepatocellular carcinoma. Sci Rep 2024; 14:11716. [PMID: 38777824 PMCID: PMC11111779 DOI: 10.1038/s41598-024-62593-z] [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: 01/11/2024] [Accepted: 05/20/2024] [Indexed: 05/25/2024] Open
Abstract
Postoperative delirium (POD) is a common complication in older patients with hepatocellular carcinoma (HCC) that adversely impacts clinical outcomes. We aimed to evaluate the risk factors for POD and to construct a predictive nomogram. Data for a total of 1481 older patients (training set: n=1109; validation set: n=372) who received liver resection for HCC were retrospectively retrieved from two prospective databases. The receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA) were used to evaluate the performance. The rate of POD was 13.3% (148/1109) in the training set and 16.4% (61/372) in the validation set. Multivariate analysis of the training set revealed that factors including age, history of cerebrovascular disease, American Society of Anesthesiologists (ASA) classification, albumin level, and surgical approach had significant effects on POD. The area under the ROC curves (AUC) for the nomogram, incorporating the aforementioned predictors, was 0.798 (95% CI 0.752-0.843) and 0.808 (95% CI 0.754-0.861) for the training and validation sets, respectively. The calibration curves of both sets showed a degree of agreement between the nomogram and the actual probability. DCA demonstrated that the newly established nomogram was highly effective for clinical decision-making. We developed and validated a nomogram with high sensitivity to assist clinicians in estimating the individual risk of POD in older patients with HCC.
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Affiliation(s)
- Mingfang Yan
- Department of Anesthesiology, Clinical Oncology School of Fujian Medical University &, Fujian Cancer Hospital, Fuzhou, 350014, Fujian, China
| | - Zhaoyan Lin
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China
| | - Huizhe Zheng
- Department of Anesthesiology, Clinical Oncology School of Fujian Medical University &, Fujian Cancer Hospital, Fuzhou, 350014, Fujian, China
| | - Jinglan Lai
- Department of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian. Medical University, Fuzhou, 350025, Fujian, China
| | - Yuming Liu
- Department of Anesthesiology, Mengchao Hepatobiliary Hospital of Fujian. Medical University, Fuzhou, 350025, Fujian, China.
| | - Zhenmeng Lin
- Department of Anesthesiology, Clinical Oncology School of Fujian Medical University &, Fujian Cancer Hospital, Fuzhou, 350014, Fujian, China.
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Pendlebury ST, Luengo-Fernandez R, Seeley A, Downer MB, McColl A, Rothwell PM. Infection, delirium, and risk of dementia in patients with and without white matter disease on previous brain imaging: a population-based study. THE LANCET. HEALTHY LONGEVITY 2024; 5:e131-e140. [PMID: 38310893 DOI: 10.1016/s2666-7568(23)00266-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/01/2023] [Accepted: 12/04/2023] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND The increased risk of dementia after delirium and infection might be influenced by cerebral white matter disease (WMD). In patients with transient ischaemic attack (TIA) and minor stroke, we assessed associations between hospital admissions with delirium and 5-year dementia risk and between admissions with infection and dementia risk, stratified by WMD severity (moderate or severe vs absent or mild) on baseline brain imaging. METHODS We included patients with TIA and minor stroke (National Institutes of Health Stroke Score <3) from the Oxford Vascular Study (OXVASC), a longitudinal population-based study of the incidence and outcomes of acute vascular events in a population of 94 567 individuals, with no age restrictions, attending eight general practices in Oxfordshire, UK. Hospitalisation data were obtained through linkage to the Oxford Cognitive Comorbidity, Frailty, and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR). Brain imaging was done using CT and MRI, and WMD was prospectively graded according to the age-related white matter changes (ARWMC) scale and categorised into absent, mild, moderate, or severe WMD. Delirium and infection were defined by ICD-10 coding supplemented by hand-searching of hospital records. Dementia was diagnosed using clinical or cognitive assessment, medical records, and death certificates. Associations between hospitalisation with delirium and hospitalisation with infection, and post-event dementia were assessed using time-varying Cox analysis with multivariable adjustment, and all models were stratified by WMD severity. FINDINGS From April 1, 2002, to March 31, 2012, 1369 individuals were prospectively recruited into the study. Of 1369 patients (655 with TIA and 714 with minor stroke, mean age 72 [SD 13] years, 674 female and 695 male, and 364 with moderate or severe WMD), 209 (15%) developed dementia. Hospitalisation during follow-up occurred in 891 (65%) patients of whom 103 (12%) had at least one delirium episode and 236 (26%) had at least one infection episode. Hospitalisation without delirium or infection did not predict subsequent dementia (HR 1·01, 95% CI 0·86-1·20). In contrast, hospitalisation with delirium predicted subsequent dementia independently of infection in patients with and without WMD (2·64, 1·47-4·74; p=0·0013 vs 3·41, 1·91-6·09; p<0·0001) especially in those with unimpaired baseline cognition (cognitive test score above cutoff; 4·01, 2·23-7·19 vs 3·94, 1·95-7·93; both p≤0·0001). However, hospitalisation with infection only predicted dementia in those with moderate or severe WMD (1·75, 1·04-2·94 vs 0·68, 0·39-1·20; pdiff=0·023). INTERPRETATION The increased risk of dementia after delirium is unrelated to the presence of WMD, whereas infection increases risk only in patients with WMD, suggesting differences in underlying mechanisms and in potential preventive strategies. FUNDING National Institute for Health and Care Research and Wellcome Trust.
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Affiliation(s)
- Sarah T Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Departments of Acute General Internal Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
| | - Ramon Luengo-Fernandez
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Anna Seeley
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Matthew B Downer
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Aubretia McColl
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Peter M Rothwell
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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Olotu C, Lebherz L, Ascone L, Scherwath A, Kühn S, Härter M, Kiefmann R. Cognitive Deficits in Executive and Language Functions Predict Postoperative Delirium. J Cardiothorac Vasc Anesth 2023; 37:2552-2560. [PMID: 37778949 DOI: 10.1053/j.jvca.2023.08.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/18/2023] [Accepted: 08/31/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVES Postoperative delirium (POD) remains the most common complication in older adults, with cognitive impairment being the main risk factor. Patients with mild cognitive impairment, in particular, have much to lose from delirium; despite this, their cognitive impairment might be clinically overlooked. Understanding which cognitive domains are particularly predictive in this regard may improve the sensitivity of preoperative testing and allow for a more targeted application of resource-intensive measures to prevent delirium in the perioperative period. The authors conducted this study with the aim of identifying the most indicative cognitive domains. DESIGN A secondary analysis of a randomized controlled trial. SETTING At a single center, the University Medical Centre Hamburg in Hamburg, Germany. PARTICIPANTS Patients ≥60 years without major neurocognitive disorders (dementia, Mini-Mental State Examination score ≤23) scheduled for cardiovascular surgery. MEASUREMENTS AND MAIN RESULTS Preoperative neuropsychologic testing and delirium screening were performed twice daily until postoperative day 5. A multiple logistic regression model was applied to determine the predictive ability of test performances for the development of delirium. RESULTS A total of 541 patients were included in the analysis; the delirium rate was 15.6%. After controlling for confounders, only low performance within the Trail Making Test B/A (odds ratio [OR] = 1.32; 95% CI: 1.05-1.66) and letter fluency (OR = 0.66; 95% CI: 0.45-0.96) predicted a particularly high risk for delirium development. The discriminative ability of the final multiple logistic regression model to predict POD had an area under the curve of 0.786. CONCLUSIONS Impairment in the cognitive domains of executive function and language skills associated with memory, inhibition, and access speed seem to be particularly associated with the development of delirium after surgery in adults ≥65 years of age without apparent preoperative neurocognitive impairment.
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Affiliation(s)
- Cynthia Olotu
- Department of Anaesthesiology, University Medical Center Hamburg, Hamburg, Germany.
| | - Lisa Lebherz
- Institute of Medical Psychology, University Medical Center Hamburg, Hamburg, Germany
| | - Leonie Ascone
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg, Hamburg, Germany
| | - Angela Scherwath
- Institute of Medical Psychology, University Medical Center Hamburg, Hamburg, Germany; Department of Stem Cell Transplantation, University Medical Center Hamburg, Hamburg, Germany
| | - Simone Kühn
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg, Hamburg, Germany
| | - Martin Härter
- Institute of Medical Psychology, University Medical Center Hamburg, Hamburg, Germany
| | - Rainer Kiefmann
- Department of Anaesthesiology, University Medical Center Hamburg, Hamburg, Germany; Anesthesia Department, Rotkreuzklinikum Munich, Munich, Germany
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Siokas V, Fleischmann R, Feil K, Liampas I, Kowarik MC, Bai Y, Stefanou MI, Poli S, Ziemann U, Dardiotis E, Mengel A. The Role of Vascular Risk Factors in Post-Stroke Delirium: A Systematic Review and Meta-Analysis. J Clin Med 2022; 11:jcm11195835. [PMID: 36233701 PMCID: PMC9571874 DOI: 10.3390/jcm11195835] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 09/12/2022] [Accepted: 09/28/2022] [Indexed: 11/09/2022] Open
Abstract
Vascular risk factors may predispose to post-stroke delirium (PSD). A systematic review and meta-analysis were performed by searching PubMed, Web of Science, and Scopus. The primary outcome was the prevalence of vascular risk factors in PSD vs. non-PSD patients. Odds ratios (ORs) with 95% confidence intervals (CIs) and mean differences (MDs) with 95% CIs were calculated for categorical and continuous variables, respectively. Fixed effects or random effects models were used in case of low- or high-statistical heterogeneity, respectively. We found an increased prevalence of atrial fibrillation (OR = 1.74, p = 0.0004), prior stroke (OR = 1.48, p < 0.00001), coronary artery disease (OR = 1.48, p < 0.00001), heart failure (OR = 2.01, p < 0.0001), and peripheral vascular disease (OR = 2.03, p < 0.00001) in patients with vs. without PSD. PSD patients were older (MD = 5.27 y, p < 0.00001) compared with their non-PSD counterparts. Advanced age, atrial fibrillation, prior stroke, coronary artery disease, heart failure, and peripheral vascular disease appeared to be significantly associated with PSD.
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Affiliation(s)
- Vasileios Siokas
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece
- Correspondence:
| | - Robert Fleischmann
- Department of Neurology, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Katharina Feil
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
| | - Ioannis Liampas
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece
| | - Markus C. Kowarik
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
| | - Yang Bai
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 310030, China
| | - Maria-Ioanna Stefanou
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
| | - Sven Poli
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
| | - Ulf Ziemann
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece
| | - Annerose Mengel
- Department of Neurology & Stroke, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, 72076 Tübingen, Germany
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Baker J, Schott J. AD and its comorbidities: An obstacle to develop a clinically efficient treatment? Rev Neurol (Paris) 2022; 178:450-459. [DOI: 10.1016/j.neurol.2022.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/08/2022] [Indexed: 10/18/2022]
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