Subgrouping factors influencing migraine intensity in women: A semi-automatic methodology based on machine learning and information geometry

This is the peer reviewed version of the following article: Pérez-Benito, F.J., Conejero, J.A., Sáez, C., García-Gómez, J.M., Navarro-Pardo, E., Florencio, L.L. and Fernández-de-las-Peñas, C. (2020), Subgrouping Factors Influencing Migraine Intensity in Women: A Semi-automatic Methodology Based on Machine Learning and Information Geometry. Pain Pract, 20: 297-309, which has been published in final form at https://doi.org/10.1111/papr.12854. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.[EN] Background Migraine is a heterogeneous condition with multiple clinical manifestations. Machine learning algorithms permit the identification of population groups, providing analytical advantages over other modeling techniques. Objective The aim of this study was to analyze critical features that permit the differentiation of subgroups of patients with migraine according to the intensity and frequency of attacks by using machine learning algorithms. Methods Sixty-seven women with migraine participated. Clinical features of migraine, related disability (Migraine Disability Assessment Scale), anxiety/depressive levels (Hospital Anxiety and Depression Scale), anxiety state/trait levels (State-Trait Anxiety Inventory), and pressure pain thresholds (PPTs) over the temporalis, neck, second metacarpal, and tibialis anterior were collected. Physical examination included the flexion-rotation test, cervical range of cervical motion, forward head position while sitting and standing, passive accessory intervertebral movements (PAIVMs) with headache reproduction, and joint positioning sense error. Subgrouping was based on machine learning algorithms by using the nearest neighbors algorithm, multisource variability assessment, and random forest model. Results For migraine intensity, group 2 (women with a regular migraine headache intensity score of 7 on an 11-point Numeric Pain Rating Scale [where 0 = no pain and 10 = maximum pain]) were younger and had lower joint positioning sense error in cervical rotation, greater cervical mobility in rotation and flexion, lower flexion-rotation test scores, positive PAIVMs reproducing migraine, normal PPTs over the tibialis anterior, shorter migraine history, and lower cranio-vertebral angles while standing than the remaining migraine intensity subgroups. The most discriminative variable was the flexion-rotation test score of the symptomatic side. For migraine frequency, no model was able to identify differences between groups (ie, patients with episodic or chronic migraine). Conclusions A subgroup of women with migraine who had common migraine intensity was identified with machine learning algorithms.Perez-Benito, FJ.; Conejero, JA.; Sáez Silvestre, C.; Garcia-Gomez, JM.; Navarro-Pardo, E.; Florencio, LL.; Fernández-De-Las-Peñas, C. (2020). Subgrouping factors influencing migraine intensity in women: A semi-automatic methodology based on machine learning and information geometry. Pain Practice. 20(3):297-309. https://doi.org/10.1111/papr.12854S29730920

Physical activity and neuropsychiatric symptoms in elderly with Alzheimer's dementia

Is common the presence of neuropsychiatric symptoms in Alzheimer's disease (AD), this is resulted of anatomical and biochemical changes in the brain. The objective of present study was to look for papers relating physical activity and neuropsychiatric symptoms through a systematic review. The following data bases was accessed: Academic Search Premier, Biological Abstracts, Medline, PsycINFO, Pubmed, Scielo, Science direct on line, Sport Discus and Web of Science, using the following key-words: (Neuropsychiatric disturbances OR Neuropsychiatric symptoms OR Neuropsychological disturbances OR Aberrant behavior OR Aberrant behaviour OR Behavior disturbances OR Behaviour disturbances OR Behavior management OR Behaviour management OR Disruptive behavior OR Disruptive behaviour) AND (Alzheimer) AND (Exercise OR Motor intervention OR training OR Physical activity OR fitness), besides crossing the references in the selected articles. Eight studies had filled the inclusion criteria. It was possible to conclude there are evidences of positive results for agitation and sleep disturbances in patients with AD. However, there's no consensus of what kind of activity is better for these patients.17353354

Survival of Escherichia coli in the environment: fundamental and public health aspects

In this review, our current understanding of the species Escherichia coli and its persistence in the open environment is examined. E. coli consists of six different subgroups, which are separable by genomic analyses. Strains within each subgroup occupy various ecological niches, and can be broadly characterized by either commensalistic or different pathogenic behaviour. In relevant cases, genomic islands can be pinpointed that underpin the behaviour. Thus, genomic islands of, on the one hand, broad environmental significance, and, on the other hand, virulence, are highlighted in the context of E. coli survival in its niches. A focus is further placed on experimental studies on the survival of the different types of E. coli in soil, manure and water. Overall, the data suggest that E. coli can persist, for varying periods of time, in such terrestrial and aquatic habitats. In particular, the considerable persistence of the pathogenic E. coli O157:H7 is of importance, as its acid tolerance may be expected to confer a fitness asset in the more acidic environments. In this context, the extent to which E. coli interacts with its human/animal host and the organism's survivability in natural environments are compared. In addition, the effect of the diversity and community structure of the indigenous microbiota on the fate of invading E. coli populations in the open environment is discussed. Such a relationship is of importance to our knowledge of both public and environmental health. The ISME Journal (2011) 5, 173-183; doi:10.1038/ismej.2010.80; published online 24 June 2010NATO [ESP.EAP.CLG 981785]; The Soil Biotechnology Foundationinfo:eu-repo/semantics/publishedVersio

Relatively lower body mass index is associated with an excess of severe truncal asymmetry in healthy adolescents: Do white adipose tissue, leptin, hypothalamus and sympathetic nervous system influence truncal growth asymmetry?

<p>Abstract</p> <p>Background</p> <p>In healthy adolescents normal back shape asymmetry, here termed truncal asymmetry (TA), is evaluated by higher and lower subsets of BMI. The study was initiated after research on girls with adolescent idiopathic scoliosis (AIS) showed that higher and lower BMI subsets discriminated patterns of skeletal maturation and asymmetry unexplained by existing theories of pathogenesis leading to a new interpretation which has therapeutic implications <it>(double neuro-osseous theory)</it>.</p> <p>Methods</p> <p>5953 adolescents age 11–17 years (boys 2939, girls 3014) were examined in a school screening program in two standard positions, standing forward bending (FB) and sitting FB. The sitting FB position is thought to reveal intrinsic TA free from back humps induced by any leg-length inequality. TA was measured in both positions using a Pruijs scoliometer as angle of trunk inclinations (ATIs) across the back at each of three spinal regions, thoracic, thoracolumbar and lumbar. Abnormality of ATIs was defined as being outside 2 standard deviations for each age group, gender, position and spinal region, and termed <it>severe </it>TA.</p> <p>Results</p> <p>In the sitting FB position after correcting for age,<it>relatively lower BMIs </it>are statistically associated with a greater number of severe TAs than with relatively higher BMIs in both girls (thoracolumbar region) and boys (thoracolumbar and lumbar regions).</p> <p>The relative frequency of severe TAs is significantly higher in girls than boys for each of the right thoracic (56.76%) and thoracolumbar (58.82%) regions (p = 0.006, 0.006, respectively). After correcting for age, smaller BMIs are associated with more <it>severe TAs </it>in boys and girls.</p> <p>Discussion</p> <p>BMI is a surrogate measure for body fat and circulating leptin levels. The finding that girls with relatively lower BMI have significantly later menarche, and a significant excess of TAs, suggests a relation to energy homeostasis through the hypothalamus. The hypothesis we suggest for the pathogenesis of severe TA in girls and boys has the same mechanism as that proposed recently for AIS girls, namely: severe TAs are initiated by a <it>genetically-determined selectively </it>increased hypothalamic sensitivity (up-regulation, i.e. increased sensitivity) to leptin with asymmetry as an adverse response to stress (hormesis), mediated bilaterally mainly to the growing trunk via the sympathetic nervous system <it>(leptin-hypothalamic-sympathetic nervous system (LHS) concept)</it>. The putative autonomic dysfunction is thought to be increased by any lower circulating leptin levels associated with relatively lower BMIs. Sympathetic nervous system activation with asymmetry leads to asymmetries in ribs and/or vertebrae producing severe TA when beyond the capacity of postural mechanisms of the somatic nervous system to control the shape distortion of the trunk. A test of this hypothesis testing skin sympathetic responses, as in the Rett syndrome, is suggested.</p

Effects of resistance training on the performance of activities of daily living in patients with Alzheimer's disease

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Aim: The objective of this study was to investigate the effects of resistance training in activities of daily living performance in Alzheimer's disease (AD) patients. Methods: An exploratory and longitudinal study, lasting for 16weeks, with the participation of 34 patients divided equally in: the training group (TG), who participated in a resistance training protocol (three sets of 20 repetitions in five exercises); and the social gathering group (SGG), who participated in a social interaction protocol (i.e. group dynamics, writing and reading activities). Results: We observed significant differences between the groups in moving around the house, climbing stairs, standing up from the floor and putting on socks tests. Conclusion: This study showed that resistance training improves agility, lower limb strength, balance and flexibility in AD patients, while SGG protocol is important to improve the agility. Geriatr Gerontol Int 2013; 13: 322328.132322328Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Physical Activity and Aging Lab (LAFE)Programa de Cinesioterapia Funcional e Cognitiva em Idosos com Doenca de Alzheimer (PRO-CDA)Pro-Reitoria de Extensao Universitaria (PROEX-UNESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)FAPESP [2010/00543-6

Depressive symptoms and level of physical activity in patients with Alzheimer's disease

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Aim: The purpose of this study was to determine the presence of depressive symptoms in patients with Alzheimer's disease, to assess whether there was an association between physical activity level and depressive symptoms in this population, and to assess whether more active patients had lower rates of depressive symptoms when compared with less active patients. Methods: The study included 37 patients with Alzheimer's disease and used the following instruments: the Geriatric Depression Scale, the Cornell Scale for Depression in Dementia and the Baecke Questionnaire Modified for the Elderly. The ShapiroWilk test was used to determine whether the data were normally distributed. The Spearman correlation test and the MannWhitney U-test was used. P-values less than 5% were considered statistically significant. Results and discussion: The prevalence of depressive symptoms in the sample was 35.13%. The Spearman correlation test verified the relationship between level of physical activity and depressive symptoms (rho = -0,4), and between the sports activities domain and depressive symptoms (rho = -0,4). Patients who were more active had lower depressive symptoms. Conclusions: The prevalence of depressive symptoms in the sample was 35.13%. Patients who were more active had lower rates of depressive symptoms. Geriatr Gerontol Int 2012; : .124637642Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Physical Activity and Aging Lab (LAFE)Programa de Cinesioterapia Funcional e Cognitiva em Idosos com Doenca de Alzheimer (PRO-CDA)Fundação para o Desenvolvimento da UNESP (FUNDUNESP)Pro-Reitoria de Extensao Universitaria (PROEX-UNESP)Nucleo UNESP-UNATI-Universidade Aberta a Terceira IdadeFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES

Validation of the Brazilian version of the Apathy Inventory

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Background: Apathy is a frequent neuropsychiatric condition in neurodegenerative disorders, depression, and often in mild cognitive impairment. The Apathy Inventory (AI) is a reliable instrument for improving the accuracy of the apathy diagnosis. The aim was to establish the validity of the Apathy Inventory for the Brazilian community. Methods: We established the concurrent validity, internal consistency, inter-rater reliability, and the sensitivity and specificity of AI for the Brazilian community in a cohort of 175 individuals with Alzheimer's disease, Parkinson's disease, depression, mild cognitive impairment, and healthy controls. The three dimensions of the AI (emotional blunting, lack of initiative, and lack of interest) were compared with the Apathy domain of the Neuropsychiatric Inventory-Clinician rating scale (NPI-C) in an independent scheme. Results: The analyses demonstrated high correlation coefficients in AI's individual dimensions and in AI-total score (F = 0.965). Concerning the NPI-C/Apathy domain, intra-class correlation coefficients were also high (F = 0.977). Concurrent validity was high according to both raters on AI dimensions x NPI-C/Apathy domain and regarding total score (rater 1: rho = 0.956 vs. rater 2: rho = 0.970). The internal consistency of the AI was also high concerning the AI's individual dimensions and total score (rater 1: 0.945 vs. rater 2: 0.958). Conclusion: We observed high internal consistency, high concurrent validity, and inter-rater reliability of the Apathy Inventory. In addition, we found that its sensitivity and specificity were high. We suggest that the Brazilian version of the Apathy Inventory would be an appropriate instrument to identify the apathy syndrome in Brazilian patients. Copyright (c) 2013 John Wiley & Sons, Ltd.289979986Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP