Tonsil volume, tonsil grade and obstructive sleep apnea: is there any meaningful correlation?

OBJECTIVES: The aims of this study were to evaluate the correlation between oropharyngeal examination and objective palatine tonsil volume in snoring adults and verify the influence of the oropharyngeal anatomy, body mass index, age, and severity of obstructive sleep apnea on actual tonsil volume. In addition, we aimed to assess the influence of tonsil size on obstructive sleep apnea in adults. INTRODUCTION: Pharyngeal wall geometry is often altered in adults who have obstructive sleep apnea, and this might influence the findings of the oropharyngeal examination that, in turn, are the key factors when considering surgical management for this condition. Furthermore, the correlation between the actual tonsil volume and the severity of obstructive sleep apnea in adults is currently unknown. METHODS: We prospectively studied 130 patients with obstructive sleep apnea or primary snoring who underwent pharyngeal surgery with intraoperative measurement of tonsil volume. We compared tonsil volume with preoperative polysomnography, oropharyngeal examination, and anthropometric data. RESULTS: We found a significant correlation between actual tonsil volume and subjective tonsil grade. We also found a significant correlation between tonsil volume and the apnea-hypopnea index. Using a multivariate linear regression model, tonsil volume was found to be significantly correlated with age, body mass index, and oropharyngeal examination, but not with polysomnography. Clinically, only the rare tonsil grade IV was indicative of more severe obstructive sleep apnea. CONCLUSIONS: There is a strong correlation between clinical tonsil grade and objective tonsil volume in snoring adults, and this correlation exists regardless of the presence or severity of obstructive sleep apnea. Pharyngeal tissue volume likely reflects the body mass index rather than obstructive sleep apnea severity

The Extracellular Matrix of the Lateral Pharyngeal Wall in Obstructive Sleep Apnea

Study Objectives: To compare the components of the extracellular matrix in the lateral pharyngeal muscular wall in patients with and without obstructive sleep apnea (OSA). This may help to explain the origin of the increased collapsibility of the pharynx in patients with OSA. Design: Specimens from the superior pharyngeal constrictor muscle, obtained during pharyngeal surgeries, were evaluated using histochemical and immunohistochemical analyses to determine the fractional area of collagen types I and II, elastic fibers, versican, fibronectin, and matrix metalloproteinases 1 and 2 in the endomysium. Setting: Academic tertiary center. Patiens: A total of 51 nonobese adult patients, divided into 38 patients with OSA and 13 nonsnoring control subjects without OSA. Interventions: Postintervention study performed on tissues from patients after elective surgery. Measurements and Results: Pharyngeal muscles of patients with OSA had significantly more collagen type I than pharyngeal muscles in control subjects. Collagen type I was correlated positively and independently with age. The other tested components of the extracellular matrix did not differ significantly between groups. In a logistic regression, an additive effect of both the increase of collagen type I and the increase in age with the presence of OSA was observed (odds ratio (OR), 2.06; 95% confidence interval (CI), 1.17-3.63), when compared with the effect of increased age alone (OR, 1.11; 95% CI, 1.03-1.20). Conclusion: Collagen type I in the superior pharyngeal constrictor muscle was more prevalent in patients with OSA and also increased with age. It was hypothesized that this increase could delay contractile-relaxant responses in the superior pharyngeal constrictor muscle at the expiratory-inspiratory phase transition, thus increasing pharyngeal collapsibility.Fundacao de Amparo a Pesquisa do Estado de Sao Paulo [06/50630-7

Quality of life, socioeconomic and clinical factors, and physical exercise in persons living with HIV/AIDS

OBJETIVO Analisar se aspectos socioeconômicos, clínicos e de hábitos de vida saudável estão associados à qualidade de vida em pessoas vivendo com HIV/aids. MÉTODOS Pesquisa quantitativa exploratória de corte transversal, com 227 pessoas vivendo com HIV/aids, atendidos em dois hospitais de referência entre os períodos de abril 2012 a junho de 2014. Foram utilizados questionários estruturados para avaliar aspectos socioeconômicos (sexo, idade, escolaridade, estado civil, cor de pele, status socioeconômico, dependentes da renda familiar, vínculo empregatício), parâmetros clínicos (tempo de diagnóstico da doença, uso e tempo de medicação, contagem de células TCD4 e carga viral) e prática de exercício físico. Para avaliar qualidade de vida, utilizou-se o questionário Quality of Life (HAT-QoL). Para caracterização dos dados socioeconômicos, clínicos e domínios da qualidade de vida, conduzimos análise descritiva (frequência simples, médias e desvios-padrão). Aplicamos regressão linear, seguindo um modelo hierárquico para cada domínio da qualidade de vida. RESULTADOS Os domínios que apresentaram menores médias para a qualidade de vida foram preocupação financeira, preocupação com sigilo, função geral e satisfação com a vida. Foram encontradas associações com as variáveis status socioeconômico e exercício físico; terapia; e exercício físico para os dois últimos domínios, consecutivamente. CONCLUSÕES A qualidade de vida de pessoas vivendo com HIV/aids apresentam prejuízos, principalmente nas questões financeiras e de sigilo, seguidos da função geral do corpo e satisfações com a vida, em que os aspectos socioeconômicos, clínicos e hábitos de vida saudável, como a prática de exercício físico, são fatores determinantes para essa realidade.OBJECTIVE To analyze whether socioeconomic and clinical aspects and the aspects of healthy life habits are associated with the quality of life of persons living with HIV/AIDS. METHODS This is a cross-sectional exploratory quantitative research, with 227 persons living with HIV/AIDS, treated at two hospitals of reference between April 2012 and June 2014. We used structured questionnaires to assess socioeconomic aspects (gender, age, education level, marital status, race, socioeconomic status, dependents on family income, employment relationship), clinical parameters (time of disease diagnosis, use and time of medication, CD4 T-cell count, and viral load), and practice of physical exercise. To assess quality of life, we used the Quality of Life questionnaire (HAT-QoL). For characterization of the socioeconomic and clinical data and domains of quality of life, we conducted a descriptive analysis (simple frequency, averages, and standard deviations). We applied linear regression, following a hierarchical model for each domain of quality of life. RESULTS The domains that presented lower averages for quality of life were financial concern, concern with confidentiality, general function, and satisfaction with life. We found associations with the variables of socioeconomic status and physical exercise, therapy, and physical exercise for the last two domains, consecutively. CONCLUSIONS The quality of life of persons living with HIV/AIDS shows losses, especially in the financial and confidentiality areas, followed by general function of the body and satisfaction with life, in which socioeconomic and clinical aspects and healthy living habits, such as the practice of physical exercise, are determining factors for this reality

Qualidade de vida, fatores socioeconômicos e clínicos e prática de exercício físico em pessoas vivendo com HIV/aids

OBJECTIVE To analyze whether socioeconomic and clinical aspects and the aspects of healthy life habits are associated with the quality of life of persons living with HIV/AIDS. METHODS This is a cross-sectional exploratory quantitative research, with 227 persons living with HIV/AIDS, treated at two hospitals of reference between April 2012 and June 2014. We used structured questionnaires to assess socioeconomic aspects (gender, age, education level, marital status, race, socioeconomic status, dependents on family income, employment relationship), clinical parameters (time of disease diagnosis, use and time of medication, CD4 T-cell count, and viral load), and practice of physical exercise. To assess quality of life, we used the Quality of Life questionnaire (HAT-QoL). For characterization of the socioeconomic and clinical data and domains of quality of life, we conducted a descriptive analysis (simple frequency, averages, and standard deviations). We applied linear regression, following a hierarchical model for each domain of quality of life. RESULTS The domains that presented lower averages for quality of life were financial concern, concern with confidentiality, general function, and satisfaction with life. We found associations with the variables of socioeconomic status and physical exercise, therapy, and physical exercise for the last two domains, consecutively. CONCLUSIONS The quality of life of persons living with HIV/AIDS shows losses, especially in the financial and confidentiality areas, followed by general function of the body and satisfaction with life, in which socioeconomic and clinical aspects and healthy living habits, such as the practice of physical exercise, are determining factors for this reality.OBJETIVO Analisar se aspectos socioeconômicos, clínicos e de hábitos de vida saudável estão associados à qualidade de vida em pessoas vivendo com HIV/aids. MÉTODOS Pesquisa quantitativa exploratória de corte transversal, com 227 pessoas vivendo com HIV/aids, atendidos em dois hospitais de referência entre os períodos de abril 2012 a junho de 2014. Foram utilizados questionários estruturados para avaliar aspectos socioeconômicos (sexo, idade, escolaridade, estado civil, cor de pele, status socioeconômico, dependentes da renda familiar, vínculo empregatício), parâmetros clínicos (tempo de diagnóstico da doença, uso e tempo de medicação, contagem de células TCD4 e carga viral) e prática de exercício físico. Para avaliar qualidade de vida, utilizou-se o questionário Quality of Life (HAT-QoL). Para caracterização dos dados socioeconômicos, clínicos e domínios da qualidade de vida, conduzimos análise descritiva (frequência simples, médias e desvios-padrão). Aplicamos regressão linear, seguindo um modelo hierárquico para cada domínio da qualidade de vida. RESULTADOS Os domínios que apresentaram menores médias para a qualidade de vida foram preocupação financeira, preocupação com sigilo, função geral e satisfação com a vida. Foram encontradas associações com as variáveis status socioeconômico e exercício físico; terapia; e exercício físico para os dois últimos domínios, consecutivamente. CONCLUSÕES A qualidade de vida de pessoas vivendo com HIV/aids apresentam prejuízos, principalmente nas questões financeiras e de sigilo, seguidos da função geral do corpo e satisfações com a vida, em que os aspectos socioeconômicos, clínicos e hábitos de vida saudável, como a prática de exercício físico, são fatores determinantes para essa realidade

ENSINO INDIVIDUALIZADO: ADAPTAR O ENSINO DE ACORDO COM AS NECESSIDADES INDIVIDUAIS DE CADA ALUNO, OFERECENDO INSTRUÇÕES CLARAS, ORGANIZAÇÃO E ESTRUTURAÇÃO DAS TAREFAS, E FEEDBACK ESPECÍFICO E IMEDIATO.

Individualized teaching refers to the educational practice of personalizing the teaching process according to the individual needs and characteristics of each student. This includes providing clear and precise instructions, establishing an organizational structure for tasks, as well as offering specific and immediate feedback to promote development and learning. This approach aims to cater to the different skills, interests and learning styles of each student, providing an adaptable and flexible learning environment. By recognizing individual differences, educators can adjust content and teaching strategies to maximize each student's engagement and academic success. Specific and immediate feedback plays a crucial role in the individualized learning process, allowing students to understand their strengths and areas for improvement, as well as encouraging them to progress in their skills and knowledge. This contributes to building a solid foundation for students’ continued growth and development.O ensino individualizado refere-se à prática educacional de personalizar o processo de ensino de acordo com as necessidades e características individuais de cada aluno. Isso inclui fornecer instruções claras e precisas, estabelecer uma estrutura organizacional para as tarefas, bem como oferecer feedback específico e imediato para promover o desenvolvimento e o aprendizado. Essa abordagem visa atender às diferentes habilidades, interesses e estilos de aprendizagem de cada aluno, proporcionando um ambiente de aprendizagem adaptável e flexível. Ao reconhecer as diferenças individuais, os educadores podem ajustar o conteúdo e as estratégias de ensino para maximizar o engajamento e o sucesso acadêmico de cada aluno. O feedback específico e imediato desempenha um papel crucial no processo de aprendizagem individualizada, permitindo que os alunos compreendam seus pontos fortes e áreas de melhoria, além de incentivá-los a progredir em suas habilidades e conhecimentos. Isso contribui para a construção de uma base sólida para o crescimento e o desenvolvimento contínuo dos alunos

Neurostimulation Combined With Cognitive Intervention in Alzheimer’s Disease (NeuroAD): Study Protocol of Double-Blind, Randomized, Factorial Clinical Trial

Despite advances in the treatment of Alzheimer’s disease (AD), there is currently no prospect of a cure, and evidence shows that multifactorial interventions can benefit patients. A promising therapeutic alternative is the use of transcranial direct current stimulation (tDCS) simultaneously with cognitive intervention. The combination of these non-pharmacological techniques is apparently a safe and accessible approach. This study protocol aims to compare the efficacy of tDCS and cognitive intervention in a double-blind, randomized and factorial clinical trial. One hundred participants diagnosed with mild-stage AD will be randomized to receive both tDCS and cognitive intervention, tDCS, cognitive intervention, or placebo. The treatment will last 8 weeks, with a 12-month follow-up. The primary outcome will be the improvement of global cognitive functions, evaluated by the AD Assessment Scale, cognitive subscale (ADAS-Cog). The secondary outcomes will include measures of functional, affective, and behavioral components, as well as a neurophysiological marker (Brain-derived neurotrophic factor, BDNF). This study will enable us to assess, both in the short and long term, whether tDCS is more effective than the placebo and to examine the effects of combined therapy (tDCS and cognitive intervention) and isolated treatments (tDCS vs. cognitive intervention) on patients with AD.Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT02772185—May 5, 2016

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost