The association of short-term memory and cognitive impairment with ghrelin, leptin, and cortisol levels in non-diabetic and diabetic elderly individuals

2018 ◽  
Vol 55 (6) ◽  
pp. 531-539 ◽  
Author(s):  
Yu Ming Sang ◽  
Li Jun Wang ◽  
Hong Xian Mao ◽  
Xue Yong Lou ◽  
Yi Jun Zhu
2021 ◽  
Vol 14 (1) ◽  
pp. e237398
Author(s):  
Jonathan E Attwood ◽  
Saniya Naseer ◽  
Sophia Michael ◽  
Josie Riley

An 83-year-old woman was referred to hospital with a 2-week history of short-lived episodic unpleasant sensations in her head and running down her body. This was accompanied by new short-term memory impairment and arm spasms. Initial investigations including blood tests and brain imaging did not reveal the diagnosis. The patient developed an increasing frequency of abnormal movements of her face and arm. These were clinically recognised as faciobrachial dystonic seizures (FBDS). FBDS are pathognomonic of an autoimmune encephalitis caused by an antibody directed against leucine-rich glioma-inactivated 1 (LGI1). The clinical diagnosis resulted in treatment with immunotherapy, leading to cessation of seizures and rapid cognitive recovery. Later, the predicted serology was confirmed. This reversible and under-recognised cause of cognitive impairment, typically affecting elderly patients, can be diagnosed clinically to enable early and effective treatment.


2017 ◽  
Vol 41 (S1) ◽  
pp. s876-s876
Author(s):  
E. Ros-Cucurull ◽  
C. Cardona-Rubira ◽  
E. García-Raboso ◽  
R.F. Palma-Álvarez ◽  
L. Grau-López ◽  
...  

IntroductionSubstance use disorder is a growing phenomenon among old adults. It is usually significantly undervalued, misidentified, under diagnosed and poorly treated. It has been related to cognitive impairment but there are few studies focused on the elderly.AimTo evaluate the relationship between drug use and cognitive impairment in old adults.MethodsWe conducted a prospective study (basal and 6 month follow up) in 67 patients over 65 years old seeking for treatment for drug misuse (alcohol and prescription drugs, mainly benzodiacepines) in addiction and dual diagnosis unit in Barcelona. A specific protocol was performed to evaluate attention, executive function, working memory, learning capacity, fonetic and visual fluency, decision-making, visual construction and cognitive flexibility (FCT, CPT-II, N-BACK, COWAT FAS, TAP, SDMT, IGT, CVLT, TOL, RFFT, STROOP). Patients were compared with a control group (healthy non drug users) with same characteristics (gender, age range and education status). The protocol consisted in two separated sessions of 90 minutes each one performed by a neuropsychologist.ResultsResults obtained suggested that patients under drug misuse had worse scores in fluency, visual construction, memory and attention compared with controls. After 6 month treatment and achieving abstinence patients improve in cognitive skills as verbal learning, short-term memory and free recall of verbal information. Cognitive impairment profile changes depending on the substance abused (alcohol or benzodiacepines).ConclusionsDrug use can produce deleterious effects in old adults. However, those who achieve abstinence may improve some cognitive functioning as verbal learning, short-term memory and free recall of verbal information.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2016 ◽  
Vol 12 ◽  
pp. P761-P761 ◽  
Author(s):  
Mario Alfredo Parra ◽  
Sara Fernandez Guinea ◽  
Lidia Sanchez ◽  
Beatriz Suarez ◽  
Anna Frank ◽  
...  

2021 ◽  
pp. 1-14
Author(s):  
Juan F. Martínez-Florez ◽  
Juan D. Osorio ◽  
Judith C. Cediel ◽  
Juan C. Rivas ◽  
Ana M. Granados-Sánchez ◽  
...  

Background: Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzheimer’s disease (AD). A strategy to reduce the impact of AD is the early aMCI diagnosis and clinical intervention. Neuroimaging, neurobiological, and genetic markers have proved to be sensitive and specific for the early diagnosis of AD. However, the high cost of these procedures is prohibitive in low-income and middle-income countries (LIMCs). The neuropsychological assessments currently aim to identify cognitive markers that could contribute to the early diagnosis of dementia. Objective: Compare machine learning (ML) architectures classifying and predicting aMCI and asset the contribution of cognitive measures including binding function in distinction and prediction of aMCI. Methods: We conducted a two-year follow-up assessment of a sample of 154 subjects with a comprehensive multidomain neuropsychological battery. Statistical analysis was proposed using complete ML architectures to compare subjects’ performance to classify and predict aMCI. Additionally, permutation importance and Shapley additive explanations (SHAP) routines were implemented for feature importance selection. Results: AdaBoost, gradient boosting, and XGBoost had the highest performance with over 80%success classifying aMCI, and decision tree and random forest had the highest performance with over 70%success predictive routines. Feature importance points, the auditory verbal learning test, short-term memory binding tasks, and verbal and category fluency tasks were used as variables with the first grade of importance to distinguish healthy cognition and aMCI. Conclusion: Although neuropsychological measures do not replace biomarkers’ utility, it is a relatively sensitive and specific diagnostic tool for aMCI. Further studies with ML must identify cognitive performance that differentiates conversion from average MCI to the pathological MCI observed in AD.


2011 ◽  
Vol 26 (1) ◽  
pp. 157-169 ◽  
Author(s):  
Marie-Pierre Deiber ◽  
Vicente Ibáñez ◽  
François Herrmann ◽  
Cristelle Rodriguez ◽  
Joan Emch ◽  
...  

2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
Gurinder Bains ◽  
Lee Berk ◽  
Noha Daher ◽  
Everett Lohman ◽  
Jerrold Petrofsky ◽  
...  

2020 ◽  
Vol 25 ◽  
pp. 102158 ◽  
Author(s):  
Maria C. Valdés Hernández ◽  
Rupert Clark ◽  
Szu-Han Wang ◽  
Federica Guazzo ◽  
Clara Calia ◽  
...  

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