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Li B, Ji S, Peng A, Yang N, Zhao X, Feng P, Zhang Y, Chen L. Development of a Gastrointestinal-Myoelectrical-Activity-Based Nomogram Model for Predicting the Risk of Mild Cognitive Impairment. Biomolecules 2022; 12:biom12121861. [PMID: 36551289 PMCID: PMC9775682 DOI: 10.3390/biom12121861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 12/05/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
Mild cognitive impairment (MCI) is the prodromal stage and an important risk factor of Alzheimer's disease (AD). Interventions at the MCI stage are significant in reducing the occurrence of AD. However, there are still many obstacles to the screening of MCI, resulting in a large number of patients going undetected. Given the strong correlation between gastrointestinal function and neuropsychiatric disorders, the aim of this study is to develop a risk prediction model for MCI based on gastrointestinal myoelectrical activity. The Mini-Mental State Examination and electrogastroenterography were applied to 886 participants in western China. All participants were randomly assigned to the training and validation sets in a ratio of 7:3. In the training set, risk variables were screened using LASSO regression and logistic regression, and risk prediction models were built based on nomogram and decision curve analysis, then validation was performed. Eight predictors were selected in the training set, including four electrogastroenterography parameters (rhythm disturbance, dominant frequency and dominant power ratio of gastric channel after meal, and time difference of intestinal channel after meal). The area under the ROC curve for the prediction model was 0.74 in the training set and 0.75 in the validation set, both of which exhibited great prediction ability. Furthermore, decision curve analysis displayed that the net benefit was more desirable when the risk thresholds ranged from 15% to 35%, indicating that the nomogram was clinically usable. The model based on gastrointestinal myoelectrical activity has great significance in predicting the risk of MCI and is expected to be an alternative to scales assessment.
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Affiliation(s)
- Baichuan Li
- Department of Neurology, Joint Research Institution of Altitude Health, West China Hospital, Sichuan University, Chengdu 610044, China
| | - Shuming Ji
- Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu 610044, China
| | - Anjiao Peng
- Department of Neurology, Joint Research Institution of Altitude Health, West China Hospital, Sichuan University, Chengdu 610044, China
| | - Na Yang
- Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu 610044, China
| | - Xia Zhao
- Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu 610044, China
| | - Peimin Feng
- Department of Gastroenterology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610044, China
| | - Yunwu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Lei Chen
- Department of Neurology, Joint Research Institution of Altitude Health, West China Hospital, Sichuan University, Chengdu 610044, China
- Correspondence:
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Nicholas P, Green T, Purtell L, Bonner A. A cross-sectional study exploring cognitive impairment in kidney failure. J Ren Care 2021; 48:93-101. [PMID: 34227741 DOI: 10.1111/jorc.12393] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 05/26/2021] [Accepted: 06/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Little is known of the prevalence or associated factors of cognitive impairment in people with kidney failure. Assessment of cognition is necessary to inform comprehension of healthcare information, aptitude for dialysis modality and informed decision making. OBJECTIVES This study sought to determine the prevalence and factors associated with cognitive impairment in people with kidney failure. DESIGN Prospective cross-sectional. PARTICIPANTS Participants (n = 222) with chronic kidney disease grade 5 (CKD G5) including those not treated with dialysis, those undertaking dialysis independently or in a facility (CKD 5D), and those with a kidney transplant (CKD 5T). MEASUREMENTS Data were collected using the Montreal Cognitive Assessment tool, the Hospital Anxiety and Depression Scale (only the depression subscale), and a demographic questionnaire. Type of kidney disease and comorbidities were extracted from participants' hospital records. RESULTS Participants were 61 ± 13.63 years old; most were male (61.26%), and diabetes was the primary cause of kidney disease (34%). Prevalence of cognitive impairment was 34% although it was significantly higher for those in CKD G5 compared with other groups. A number of factors were found to be associated with cognitive impairment including, age, diabetes, hypertension, education, haemoglobin, albumin, parathyroid hormone, CKD G5, and length of time on treatment. CONCLUSIONS Cognitive impairment in kidney failure is common and it has significant implications for informed decision making and treatment choices. Routine assessment of cognitive function is an important part of clinical practice.
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Affiliation(s)
- Pauline Nicholas
- Kidney Health Service, Metro North Hospital and Health Service, Brisbane, Australia.,School of Nursing, Queensland University of Technology, Brisbane, Australia
| | - Theresa Green
- Surgical Treatment and Rehabilitation Service, Metro North Hospital and Health Service, Brisbane, Australia.,School of Nursing, University of Queensland, Brisbane, Australia
| | - Louise Purtell
- Kidney Health Service, Metro North Hospital and Health Service, Brisbane, Australia.,Chronic Kidney Disease Centre for Research Excellence, University of Queensland, Brisbane, Australia.,School of Nursing and Midwifery, Griffith University, Brisbane, Australia
| | - Ann Bonner
- Kidney Health Service, Metro North Hospital and Health Service, Brisbane, Australia.,Chronic Kidney Disease Centre for Research Excellence, University of Queensland, Brisbane, Australia.,School of Nursing and Midwifery, Griffith University, Brisbane, Australia
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Agnello L, Piccoli T, Vidali M, Cuffaro L, Lo Sasso B, Iacolino G, Giglio VR, Lupo F, Alongi P, Bivona G, Ciaccio M. Diagnostic accuracy of cerebrospinal fluid biomarkers measured by chemiluminescent enzyme immunoassay for Alzheimer disease diagnosis. Scandinavian Journal of Clinical and Laboratory Investigation 2020; 80:313-317. [PMID: 32255379 DOI: 10.1080/00365513.2020.1740939] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In the last decades, an important role of cerebrospinal fluid (CSF) biomarkers for Alzheimer disease (AD) diagnosis has emerged. The evaluation of the triad consisting of 42 aminoacid-long amyloid-beta peptide (Aβ42), total Tau (tTau) and Tau phosphorylated at threonine 181 (pTau) have been recently integrated into the research diagnostic criteria of AD. For a long time, the enzyme-linked immunosorbent assay (ELISA) has represented the most commonly used method for the measurement of CSF biomarkers levels. This study aimed to assess the diagnostic accuracy of CSF biomarkers, namely Aβ42, tTau and pTau and their ratio, measured by fully automated CLEIA assay (Lumipulse). We included 96 patients clinically diagnosed as AD (48) and non-AD (48). All CSF biomarkers levels were measured on Lumipulse G1200 fully automated platform (Fujirebio Inc. Europe, Gent, Belgium). Aβ42 levels, 42/40 ratio, 42/tTau ratio, 42/PTau ratio were significantly reduced, and tTau and PTau levels were significantly increased in AD patients in comparison with non-AD patients. The receiving operator curve (ROC) analysis showed good diagnostic accuracy of all CSF biomarkers and their ratios for discriminating AD patients from non-AD patients, with 42/40 ratio having the best AUC (0.724, 95%CI 0.619-0.828; p < 0.001). Our findings support the use of CSF biomarkers measured by CLEIA method on a fully automated platform for AD diagnosis.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Tommaso Piccoli
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Unit of Clinical Chemistry, Maggiore della Carità Hospital, Novara, Italy
| | - Luca Cuffaro
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Giorgia Iacolino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Vincenza Rosaria Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Federica Lupo
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Pierpaolo Alongi
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
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The Efficacy of Cognitive Training for Elderly Chinese Individuals with Mild Cognitive Impairment. BIOMED RESEARCH INTERNATIONAL 2019; 2019:4347281. [PMID: 31886216 PMCID: PMC6907055 DOI: 10.1155/2019/4347281] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 10/11/2019] [Indexed: 01/06/2023]
Abstract
The age of the population is shifting toward the elderly range, which may lead to an increased risk of mild cognitive impairment (MCI). The aims of this study are to evaluate the cognitive function in elderly people using the Montreal Cognitive Assessment (MoCA), to identify the relationship between cognitive function and different characteristics, and to evaluate the efficacy of the intervention after six months of cognitive training. In this study, we included 2886 subjects aged ≧60 years in the baseline survey, and 140 subjects with MCI who participated in the baseline survey were randomly divided into an intervention group (N = 70) and a control group (N = 70). The control group was not provided any intervention measures, and the intervention group was administered cognitive training. The education level, monthly income, sleep time, exercise time, reading times, and time spent engaging in community activities and performing housework were positively correlated with MoCA scores, but age was negatively correlated with MoCA scores. The total MoCA score of the intervention group increased from 19.77 ± 2.24 points to 21.09 ± 2.20 points after six months of cognitive training, but the score of the control group decreased from 20.41 ± 2.10 points to 19.17 ± 2.57 points. The two-way repeated-measures ANOVA revealed a very significant effect of the interaction between time and cognitive training on the total MoCA score. Seventeen participants in the intervention group improved to normal levels, and no participants progressed to dementia after six months of cognitive training. Thus, the efficacy of the intervention was statistically significant. Our study concludes that older age is associated with a cognitive decline. Factors that are more likely to protect against cognitive decline included a higher education level and monthly income, sufficient sleep time, regular physical exercise and reading, frequently engaging in community activities, and continuing to perform housework. Moreover, the cognitive training intervention is effective and may help to decrease the deterioration of cognitive function in patients with MCI, and the interaction between intervention time and cognitive training significantly improves cognitive function.
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Tarraf W, Criqui MH, Allison MA, Wright CB, Fornage M, Daviglus M, Kaplan RC, Davis S, Conceicao AS, González HM. Ankle brachial index and cognitive function among Hispanics/Latinos: Results from the Hispanic Community Health Study/Study of Latinos. Atherosclerosis 2018; 271:61-69. [PMID: 29459267 DOI: 10.1016/j.atherosclerosis.2018.02.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Revised: 01/17/2018] [Accepted: 02/08/2018] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND AIMS The Ankle-Brachial index (ABI) is a well-accepted measure of peripheral artery disease (arterial stenosis and stiffness) and has been shown to be associated with cognitive function and disorders; however, these associations have not been examined in Hispanics/Latinos. Therefore, we sought to examine relationships between ABI and cognitive function among diverse middle-age and older Hispanics/Latinos. METHODS We used cross-sectional data on n = 7991 participants aged 45-74 years, without stroke or coronary heart disease, from the Hispanic Community Health Study/Study of Latinos. Our primary outcome, global cognition (GC), was a continuous composite score of four cognitive domains (verbal learning and memory, verbal fluency, executive function, and mental status). Secondary outcomes were the individual tests representing these domains. The ABI was analyzed continuously and categorically with standard clinical cut-points. We tested associations using generalized survey regression models incrementally adjusting for confounding factors. Age, sex, hypertension, diabetes, and dyslipidemia moderations were examined through interactions with the primary exposure. RESULTS In age, sex, and education adjusted models, continuous ABI had an inverse u-shape association with worse GC. We found similar associations with measures of verbal learning and memory, verbal fluency, executive function, but not with low mental status. The associations were attenuated, but not completely explained, by accounting for the confounders and not modified by age, sex, education, and vascular disease risks. CONCLUSIONS In addition to being a robust indicator of arterial compromise, our study suggests that abnormal ABI readings may also be useful for early signaling of subtle cognitive deficits.
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Affiliation(s)
- Wassim Tarraf
- Institute of Gerontology & Department of Health Care Sciences, Wayne State University, 87 East Ferry St., 240 Knapp Building, Detroit, MI, 48202, USA
| | - Michael H Criqui
- Family and Preventative Medicine, University of California San Diego, 9500 Gilman Drive, MC 0607, SCRB 352, La Jolla, CA, 92093-0607, USA
| | - Matthew A Allison
- Family and Preventative Medicine, University of California San Diego, 9500 Gilman Drive, MC 0965, La Jolla, CA, 92093-0607, USA
| | - Clinton B Wright
- Division of Clinical Research, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 6001 Executive Boulevard Suite 3309, Bethesda, MD, 20892-9531, USA
| | - Myriam Fornage
- University of Texas Health Science Center at Houston, 1825 Pressler Street, Building SRB-530G, Houston, TX, 77030, USA
| | - Martha Daviglus
- Department of Preventative Medicine, University of Illinois-Chicago, Feinberg School of Medicine, 1819 W. Polk Street, MC 764, Suite 246, Chicago, IL, 60612, USA
| | - Robert C Kaplan
- Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Ave., Belfer Building Room 1306C, Bronx, NY, 10461, USA
| | - Sonia Davis
- Department of Biostatistics, University of North Carolina at Chapel Hill, 137 East Franklin St, Suite 203, Chapel Hill, NC, 27514, USA
| | - Alan S Conceicao
- Department of Epidemiology & Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Hector M González
- UC San Diego, Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Research Center, La Jolla, CA, 92093-0949, USA.
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