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1.
Rev Neurol (Paris) ; 179(8): 877-881, 2023 Oct.
Article in English | MEDLINE | ID: mdl-36914478

ABSTRACT

Sleep disorders are very common in mild cognitive impairment (MCI) and Alzheimer's disease (AD). Several parameters of polysomnography seem to correlate with cognitive scores and amyloid biomarkers in the different stages of AD. However, there is limited evidence for the relationship between self-reported sleep impairment and disease biomarkers. In this study, we assessed the relationship between self-reported sleep complaints, with the Pittsburgh Sleep Quality Index, and both cognitive function and cerebrospinal fluid biomarkers in 70 patients with MCI and 78 patients with AD. Sleep duration and daytime dysfunction were higher in AD. Daytime dysfunction had a negative correlation with cognitive scores (Mini-Mental-State Examination and Montreal Cognitive Assessment) and with amyloid-beta1-42 protein, and a positive correlation with total tau protein. However, daytime dysfunction was an independent predictor only of t-tau values (F=57.162; 95% CI: [18.118; 96.207], P=0.004). These findings support a relationship between daytime dysfunction, cognitive scores and neurodegeneration, further expanding recent findings that it may signal a risk of dementia.


Subject(s)
Alzheimer Disease , Cognitive Dysfunction , Humans , Alzheimer Disease/diagnosis , Alzheimer Disease/epidemiology , Sleep Quality , Self Report , Cognitive Dysfunction/diagnosis , Cognitive Dysfunction/epidemiology , Cognitive Dysfunction/etiology , tau Proteins , Amyloid beta-Peptides/cerebrospinal fluid , Biomarkers
2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2019: 1413-1416, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31946157

ABSTRACT

This paper provides a study using Electroencephalography (EEG) to investigate the brain activity during code comprehension tasks. Three different code complexity levels according to five complexity metrics were considered. The use of EEG for this purpose is relevant, since the existing studies were mostly focused on neuroimaging techniques. Using Leave-One-Subject-Out cross-validation procedure for 30 subjects, it was found that the features related with the Gamma activity were the most common in all the folds. Regarding the brain regions, right parietal was the most frequent region contributing with more features. A Linear Discriminant Analysis Classifier for task classification, obtained a F-Measure of 92.71% for Code complexity easy, 52.25% for Code complexity intermediate and 53.13% for Code complexity advanced, revealing an evidence of mental effort saturation with the code complexity degree. This suggests that current code complexity metrics do not capture cognitive load and might not be the best approach to assess bug risk.


Subject(s)
Brain , Electroencephalography , Software , Comprehension , Neuroimaging
3.
Transplant Proc ; 47(4): 985-8, 2015 May.
Article in English | MEDLINE | ID: mdl-26036500

ABSTRACT

INTRODUCTION: Cardiovascular disease is more common in renal transplant recipients (RTRs) than in the general population, and is the major cause of both graft loss and patient death in RTRs. OBJECTIVES: This study aimed to characterize the cardiovascular risk factors, calculate the 7-year risk for major adverse cardiac events and the 7-year risk for death in a population of RTRs using a cardiovascular risk calculator, and determine the main cardiovascular risk factors associated with increased prediction of major adverse cardiac event (MACE) and death. PATIENTS: This is a retrospective review of clinical data from 121 RTRs who are in follow-up programs at our institution, and who had a functioning and stable graft for longer than 6 months. RESULTS: Among 121 adult patients followed at our institution (59.5% males, mean age of 49.6 ± 13.8 years, mean times for functioning grafts were 105 ± 73.5 mo), 86.8% had hypertension, 19.8% had diabetes, 24.8% were current or former smokers, 61.9% had increased body mass index, and 71% had dyslipidemia. The 7-year risk for MACE was more than 10% in 38 (31.4%) patients with age, diabetes, and smoke being independent risk predictors. The 7-year risk for death was more than 10% in 56 (46.3%) patients with age, diabetes, blood pressure, smoking, and male gender being independent risk predictors. CONCLUSION: There is a high prevalence of cardiovascular risk factors in a population of RTRs, and there is increased risk for MACE and death. Accurate risk prediction is important for physician decision support and patient education, promoting improved cardiovascular health of RTRs, and thus prolonging the survival of both patients and graft.


Subject(s)
Cardiovascular Diseases/epidemiology , Dyslipidemias/epidemiology , Kidney Transplantation/adverse effects , Metabolome/physiology , Transplant Recipients , Cardiovascular Diseases/etiology , Cardiovascular Diseases/metabolism , Cause of Death/trends , Dyslipidemias/etiology , Dyslipidemias/metabolism , Female , Follow-Up Studies , Humans , Male , Middle Aged , Portugal/epidemiology , Prevalence , Retrospective Studies , Risk Factors
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