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ObjectiveTo explore the elements， distribution and characteristics of traditional Chinese medicine （TCM） syndromes in depressive episodes of bipolar disorder （BD）. MethodsBasic information， along with the four examination information， the Hamilton Depression Scale and Young Mania Rating Scale scores， were collected from 293 outpatients with BD at Beijing Anding Hospital， Capital Medical University. The four examination information with an occurrence rate greater than 12% were retained. The R language “dist” function was used to calculate the distances between samples using the Euclidean distance method. The hierarchical clustering of the four examination information was performed using the “hclust” function and the squared Euclidean distance method. A team of five researchers was formed to determine the nature and location of the essential elements of TCM syndrome in BD based on the clustering results. The PC algorithm was used to construct a Bayesian network model of the essential elements. The working group combined the essential elements of TCM syndromes in the Bayesian network according to the reference model results， and then extracted common TCM syndromes. The score of each patient based on the essential elements was matched with the common TCM syndromes to determine the syndrome type of each patient. The working group then performs conformity and revision based on this， obtaining the final distribution of TCM syndromes for the patients. ResultsThere were 77 common TCM symptoms in BD with a frequency greater than 12%. The top 15 symptoms with higher frequencies were slippery pulse， mental fatigue and lack of strength， wiry pulse， excessive rumination， preference for solitude， vexation， agitation and irritability， dry mouth， palpitations， profuse dreaming， unwarranted worries， chest oppression， thin white coating， amnesia， frequent sighing， and poor appetite. TCM syndrome elements of BD can be grouped into 11 categories. The nature of disease-related essential elements included fire， qi deficiency， blood deficiency， qi counterflow， yin deficiency， dampness， heat， fire from constraint， and phlegm. The location of disease-related essential elements included heart， liver， spleen， stomach， kidney， bladder channel， and gallbladder. By constructing a Bayesian network model and considering the opinions from the experts， six common syndromes of BD were identified， among which the highest proportion was heart-stomach heat accumulation， accounting for 27.99% （82 cases）， followed by heart-spleen deficiency （55 cases， 18.77%）， non-interaction between the heart and the kidney （49 cases， 16.72%）， liver constraint and blood deficiency （42 cases， 14.33%）， heart qi deficiency （37 cases， 12.63%）， and damp-heat in the liver and gallbladder （28 cases， 9.56%）. ConclusionsThe nature of disease-related elements of BD are predominantly fire and heat， while the location of disease-related essential elements are primarily associated with the heart， liver， and spleen. The most common TCM syndromes are heart-stomach heat accumulation and heart-spleen deficiency.
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Intermittent theta burst stimulation (iTBS), a time-saving and cost-effective repetitive transcranial magnetic stimulation regime, has been shown to improve cognition in patients with Alzheimer's disease (AD). However, the specific mechanism underlying iTBS-induced cognitive enhancement remains unknown. Previous studies suggested that mitochondrial functions are modulated by magnetic stimulation. Here, we showed that iTBS upregulates the expression of iron-sulfur cluster assembly 1 (ISCA1, an essential regulatory factor for mitochondrial respiration) in the brain of APP/PS1 mice. In vivo and in vitro studies revealed that iTBS modulates mitochondrial iron-sulfur cluster assembly to facilitate mitochondrial respiration and function, which is required for ISCA1. Moreover, iTBS rescues cognitive decline and attenuates AD-type pathologies in APP/PS1 mice. The present study uncovers a novel mechanism by which iTBS modulates mitochondrial respiration and function via ISCA1-mediated iron-sulfur cluster assembly to alleviate cognitive impairments and pathologies in AD. We provide the mechanistic target of iTBS that warrants its therapeutic potential for AD patients.
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Humains , Souris , Animaux , Stimulation magnétique transcrânienne , Maladie d'Alzheimer/thérapie , Dysfonctionnement cognitif/thérapie , Cognition , Soufre , Fer , Ferrosulfoprotéines , Protéines mitochondrialesRésumé
Resumo O objetivo deste estudo é detectar as áreas de maior risco para óbitos de crianças e adolescentes de 5 a 14 anos no estado de Mato Grosso entre os anos de 2009 e 2020. Estudo ecológico, tipo exploratório, cuja unidade de análise foram os municípios. Considerando dados de mortalidade do SIM e os demográficos do IBGE, o estudo utilizou a estatística multivariada para a identificação dos clusters espaço-temporais de sobrerrisco de mortalidade nesta faixa etária. Dos 5 aos 9 anos, dois clusters de alto risco de mortalidade foram detectados; o mais provável localizado na mesorregião sul (RR: 1,6; LRV: 8,53). Dentre os 5 clusters detectados na faixa etária dos 10 aos 14 anos, o principal foi localizado na mesorregião norte (RR: 2,26; LRV: 7,84). Foi identificada redução das taxas de mortalidade na faixa etária mais jovem e aumento destas taxas na faixa etária mais velha. A identificação destes clusters, cuja análise merece ser replicada a outras partes do território nacional, é a etapa inicial para a investigação de possíveis fatores associados à morbi-mortalidade deste grupo ainda pouco explorado e para o planejamento de intervenções adequadas.
Abstract The study aimed to detect high-risk areas for deaths of children and adolescents 5 to 14 years of age in the state of Mato Grosso, Brazil, from 2009 to 2020. This was an exploratory ecological study with municipalities as the units of analysis. Considering mortality data from the Mortality Information System (SIM) and demographic data from the Brazilian Institute of Geography and Statistics (IBGE), the study used multivariate statistics to identify space-time clusters of excess mortality risk in this age group. From 5 to 9 years of age, two clusters with high mortality risk were detected; the most likely located in the state's southern mesoregion (RR: 1.6; LRT: 8,53). Among the 5 clusters detected in the 10-14-year age group, the main cluster was in the state's northern mesoregion (RR: 2,26; LRT: 7,84). A reduction in mortality rates was observed in the younger age group and an increase in these rates in the older group. The identification of these clusters, whose analysis merits replication in other parts of Brazil, is the initial stage in the investigation of possible factors associated with morbidity and mortality in this group, still insufficiently explored, and for planning adequate interventions.
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Resumen El objetivo de este estudio fue observar los estilos de resiliencia entre estudiantes de pregrado y explorar la forma en la que cada uno de ellos se encontraba asociado al engagement académico y a las redes de apoyo social al inicio de los estudios universitarios. La muestra correspondió a 371 estudiantes de pregrado del Caribe Colombiano evaluados a partir de un análisis estadístico de clústeres, por el método jerárquico aglomerativo. Posteriormente se clasificaron en grupos de acuerdo con sus similitudes en las 12 dimensiones de resiliencia y finalmente se compararon en términos de engagement y redes personales. Los resultados señalaron cuatro perfiles de estudiantes: (1) sujetos con baja-resiliencia, alto engagement y fuertes vínculos relacionales; (2) resilientes-en-proceso, con niveles intermedios de resiliencia, bajo engagement y redes sociales con poca cercanía; (3) resilientes-autónomos con altos puntajes de resiliencia, niveles intermedios de engagementy redes sociales débiles; y (4) resilientes-con-redes, exhibieron altos niveles de resiliencia, con alto engagement y amplias redes de apoyo. Se concluye que la mayor porción de jóvenes que comienzan la universidad muestra perfiles de baja resiliencia; sin embargo, los altos niveles de motivación por los estudios y los recursos sociales como las redes de apoyo de los compañeros son las condiciones que más permiten afrontar los obstáculos de la vida universitaria. Es importante notar que solamente el último perfil integró los elementos de alta resiliencia, alto engagement y fuertes redes de apoyo que permiten confirmar la íntima asociación entre estos constructos. Los otros perfiles representan casos en los cuales los rasgos de resiliencia son independientes de los niveles de engagement y de la composición de las redes de apoyo personal.
Abstract Adjustment of first-year students to university environments, as well as their academic success, is not exclusively related to their academic aptitude; instead, this adjustment is associated with psychological characteristics, personal and even social resources that help students cope with stressors and new circumstances. A comprehensive assessment of the students' adjustment to university environment must transcend preoccupation on academic performance, and instead explore associations among psychological, academic, and social elements that promote adaptation during the initial years of higher education (Marenco-Escuderos et al., 2021). In this line of research, the objective of this work was to inquire how internal characteristics of students (psychological and academic) interplay with external elements in their support systems to promote adaptation in a higher education environment. Associations were explored among resilience, academic engagement, and social support as determining elements in the adjustment to the demands of the university context. The sample consisted of 371 undergraduate students (60 % female), of low socioeconomic status, enrolled in public universities in the Caribbean region of Colombia. Firstly, the resilience of university students was explored, as the ability to respond to obstacles with a positive view of the world, of others, and of one's own abilities to cope with stressors (Saavedra-Guajardo et al., 2019). Second, the level of engagement that drives young students to concentrate their energies on academic activities was reviewed; and third, the role of peers, and friends as the close-support system that facilitates the overcoming of personal and academic difficulties was investigated (Fernández-Martínez et al., 2017). Based on a statistical cluster analysis, by the agglomerative hierarchical method, individuals were classified according to their similarities in the expression of 12 dimensions of resilience (SV-RES scale), and subsequently compared in terms of engagement (UWES-S scale), and personal support networks (UNICET software). The results showed four student profiles: (1) the largest group consisting of students with low-resilience, high engagement and strong support networks; (2) a resilient group with low levels of engagement and support networks with little intimacy; (3) a resilient group with high characteristics of autonomy, intermediate levels of engagement, and support networks with weak structure; and (4) a very resilient group, high engagement, and wide and strong social support networks. The results point out the fact that the greatest proportion of students who start college show profiles of low resilience, however, high levels of motivation for studies and social resources such as peer support networks are the conditions that mostly allow for coping with adversity in the first years of college. These results could point to cultural aspects specific to the Caribbean region, where social networks are of great importance for daily functioning (Marenco-Escuderos et al., 2021). Regarding the association among the studied variables, it is important to note that only the last profile gathered all elements of high resilience, high engagement, and strong support networks that allow for confirming the association among these constructs. The other three profiles represent cases in which the resilience traits are independent of the students' levels of engagement and the composition of their personal support networks. This study is valuable as it provides a differentiating picture of the relationship of resilience with other psychological and social constructs, and in that it allows to better understand resilience in association with other elements that mediate its interpretation. Important gender differences among the profiles are additionally discussed.
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Non-Hodgkin’s lymphoma is a heterogeneous group of malignancies characterized by an abnormal clonal proliferation of T-cells, B-cells, or both. Sometimes, tuberculosis and lymphoma presentation can share common symptoms and features. In this case report, we present the case of a 28-year-old female patient who came with a chief complaint of swelling on the right side of the face for the past 6 months. Initially, it was not associated with pain but gradually developed severe pain over the region and reduced salivary flow. The patient was planned for surgery with a differential diagnosis of salivary gland pathology. Post-operatively, the histopathological report showed atypical cells which were diffusely positive for cluster of differentiation (CD)20. Focally positive for CD45 and CD3 which was positive in reactive T lymphocytes. Immunohistochemistry pattern favors the diagnosis of B-cell type NHL. Through this case report, we want to share our experience in treating an aggressive tumor that mimics salivary gland pathology.
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Abstract This study aimed to examine the association between clusters of physical activity (PA), diet, and television viewing (TV) with weight status among a representative sample of Brazilian students. Data from the National Health School-based Survey (PeNSE) 2015 were analyzed (n = 16,521; mean age 14.8, standard deviation 0.03 year). PA (minutes/week spent in leisure-time, and commuting to/from school), TV (hours/day), and weekly consumption of deep-fried empanadas, candies, sodas, ultra-processed foods, fast foods, green salads or vegetables, and fruits were self-reported on the validated PeNSE questionnaire. Latent class analysis defined behavior classes, and binary logistic regression assessed the association between clustering and weight status. Six classes' types with positive and negative behaviors were identified. Adolescents belonging to the "low TV time and high healthy diet" class had higher chances of being overweight (including obesity) compared to their peers in the "moderate PA and mixed diet" class. No associations were found in the other clusters. Mixed classes with healthy and unhealthy behaviors characterized adolescents' lifestyles and these profiles were related to weight status.
Resumo O estudo objetivou examinar a associação entre agrupamentos de atividade física (AF), dieta e tempo de televisão (TV) com o status do peso em uma amostra representativa de estudantes brasileiros. Foram analisados dados da Pesquisa Nacional de Saúde do Escolar (PeNSE) 2015 (n = 16.521; idade média 14,8, desvio padrão de 0,03 ano). AF (minutos/semana no lazer e deslocamento para/da escola), assistir televisão (TV) (horas/dia), consumo semanal de doces, refrigerantes, alimentos ultraprocessados/fast-foods, saladas/vegetais e frutas foram coletadas por questionário validado. Análise de classes latentes definiu os perfis de comportamento e a regressão logística binária a associação entre agrupamento e status de peso. Foram identificadas seis classes com comportamentos positivos e negativos. Adolescentes pertencentes à classe "baixo tempo de TV e alta alimentação saudável" apresentaram maior probabilidade de ter sobrepeso/obesidade em comparação com seus pares na classe "AF moderada e dieta mista". Não foram encontradas associações nos outros perfis. Classes com comportamentos saudáveis e não saudáveis caracterizaram o estilo de vida dos adolescentes e estiveram relacionadas com o status de peso.
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Os indivíduos constantemente tomam decisões de consumo, que também impactam na cadeia que participa direta ou indiretamente para a criação daquele produto ou serviço. Assim, compreender melhor os perfis dos consumidores de jogos digitais auxiliam os desenvolvedores locais a produzir jogos que despertem e mantenham o interesse desses gamers, tornando esse, o principal objetivo desta pesquisa. Para tal, utilizou-se a Análise de Clusters, através do método K-means para variáveis categóricas, onde foram encontradas quatro personas. Os grupos com mais idade e com renda mensal de R$ 2.200,01 a R$ 4.400,00 expressou um comportamento prudente em relação aos gastos com jogos (gastaram de 0 a 100 reais, nos últimos 6 meses). Os outros dois grupos restantes, mais jovens, apresentaram características financeiras distintas: o de menor renda mensal (até R$ 1.100,00) não foi o que menos gastou com jogos eletrônicos nos últimos 6 meses (101 a 250 reais). A pesquisa também concluiu que "autonomia para seguir vários caminhos" foi bastante valorizada pelos 4 perfis, nomeados de "jogador retraído", "jogador apaixonado", "jogador nostálgico" e "jogador vontade", refletindo as características principais de cada perfil.
Individuals constantly make consumption decisions, which impact not only the consumer, but also the entire chain that participates directly or indirectly in the creation of that product or service. Thus, there is a need to better understand the profiles of consumers of digital entertainment games, so that local developers can produce games that arouse and maintain the interest of these gamers, making this the main objective of this research. For this, Cluster Analysis was used, through the K-means method for categorical variables, where four personas were found, which were translated by their reference profiles (detailed in D descriptions), and represented a set of similar profiles in the sample space of the respondents, with homogeneous characteristics to this "focal profile". The groups composed of the oldest age group (31 40 years old) and with a monthly income of BRL 2,200.01 to BRL 4,400.00 expressed a prudent behavior in relation to spending on games (they spent from BRL 0.00 to BRL 100.00 in the last 6 months). The other two remaining groups, formed by the younger age group (21 30 years), had different financial characteristics: the one with the lowest monthly income (up to BRL 1,100.00) was not the one who spent the least on electronic games in the last 6 months. (BRL 101.00 to BRL 250.00). The survey also concluded that "autonomy to follow several paths" was highly valued by the 4 profiles, named "withdrawn player", "passionate player", "nostalgic player" and "willing player"" to reflect the main characteristics of each profile.
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Adulte , Jeux vidéo , Comportement du consommateurRésumé
ABSTRACT BACKGROUND: Cardiovascular disease (CVD) is the second leading cause of death in sub-Saharan Africa. Globally, there is substantial evidence that modifiable risk factors for CVD are increasing in adolescents. Unfortunately, there is a paucity of information on the prevalence and clustering of these risk factors in adolescents. OBJECTIVES: This study explores the modifiable risk factors for CVD among first-year students at the University of Ibadan, Nigeria. DESIGN AND SETTING: This cross-sectional study was conducted at the University of Ibadan, Nigeria. METHODS: A total of 546 newly admitted students at the University of Ibadan, Nigeria, were recruited using stratified random sampling. An interviewer-administered questionnaire was used to obtain information from study participants between January and February 2016. RESULTS: The mean age of respondents was 19 ± 2.2 years with a male-to-female ratio of 1:1. The reported risk factors for CVD were smoking (1.6%), abdominal obesity (3.3%), alcohol consumption (3.7%), overweight/obesity (20.7%), unhealthy diet (85.3%), and physical inactivity (94.5%). Clustering of ≥ 2 risk factors was reported in 23.4% of students. Female students were twice as probably overweight/obese as male students (adjusted odds ratio [AOR] = 2.2; confidence interval [CI] = 1.41-3.43). Students whose fathers were skilled workers were 3.5 times more likely to be physically inactive (AOR = 1.7; CI = 0.97-2.96). The clustering of ≥ 2 risk factors was significantly higher among women and Muslims in bivariate analysis, whereas no significant association was found in multivariate analysis. CONCLUSIONS: Public health strategies to prevent CVD risk factors should begin in schools and extend to the entire community.
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Abstract Objectives: Cluster headache is considered a trigeminal autonomic cephalalgia and may present with characteristic symptoms of sympathetic/parasympathetic activation on the affected side of the face, such as nasal discharge, tearing, and conjunctival injection. Invasive therapies targeting the sphenopalatine ganglion have been performed in these headache syndromes and can have a medication-sparing effect, especially in refractory, difficult-to-manage cases. The gate control theory of pain suggests that electric pulses delivered to nerve tissues can modulate neuronal activity, thus aiding in management of nociceptive or neuropathic pain, and studies have demonstrated the efficacy and safety of sphenopalatine ganglion neurostimulation. Within this context, we sought to assess the feasibility of a new surgical technique for neurostimulation of the sphenopalatine ganglion in a cadaver dissection model. Methods: The technique was developed through dissection of two cadaver heads. We divided the procedure into two stages: an endonasal endoscopic approach to expose the sphenopalatine ganglion and confirm electrode placement, and a cervicofacial approach to introduce the electrode array and position the internal pulse-generator unit. Computed tomography was performed to confirm implant placement at the end of the procedure. Results: The pulse-generator unit was successfully placed through a retroauricular incision, as is already standard for cochlear implant placement. This should reduce the incidence of perioperative sequelae, especially pain and swelling in the oral region, which are a common complication of previous approaches used for this purpose. Control imaging confirmed proper electrode placement. The device used in this study allows the patient to modulate the intensity of the stimulus, reducing or even obviating the need for drug therapy. Conclusion: The novel technique described herein, based on percutaneous access guided by transmaxillary endoscopy, can provide great precision in electrode array positioning and decreased perioperative morbidity, combining the advantages of endoscopic approaches with those of the retroauricular route. Level of evidence: 3.
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Objetivo: Investigar a agregação das DCNT e a sua associação com as características sociodemográficas e os aspectos ocupacionais dos trabalhadores da APS. Métodos: Tratou-se de um estudo epidemiológico transversal que analisou os dados parciais de uma coorte retrospectiva realizada em Vitória da Conquista (BA) e em São Geraldo da Piedade (MG) no mês de janeiro de 2022 com 105 trabalhadores da Estratégia Saúde da Família (ESF), que preencheram um questionário eletrônico específico autoaplicável. As variáveis analisadas foram: sociodemográficas, caracterização do trabalho, presença de DCNT e de multimorbidade. Foram aplicados os seguintes procedimentos estatísticos: análise descritiva, análise de cluster, teste de qui-quadrado de Pearson e regressão logística binária. Resultados:As cinco DCNT mais prevalentes foram a rinite/sinusite (30,5%), a cefaleia/enxaqueca (26,7%), o colesterol alto (26,7%), a gastrite (19,0%) e a hipertensão arterial sistêmica (19,0%). A prevalência de multimorbidade foi de 26,7% e foram encontradas 11 combinações de cluster (34,4%), sendo o maior escore na combinação das cinco doenças mais prevalentes. Foi identificada a associação entre a presença de multimorbidade e o sexo, sendo a prevalência 24% menor entre os homens, e com a escolaridade, sendo a prevalência 26% maior nos indivíduos que não possuem ensino superior. Conclusão: Foram identificadas associações entre a presença de multimorbidade e o sexo feminino, e indivíduos que não concluíram o ensino superior. Observou-se, ainda, uma associação simultânea das cinco principais DCNT deste estudo com o nível de escolaridade (AU).
Objectives: Investigate the aggregation of NCDs and their association with sociodemographic characteristics and occupational aspects in primary healthcare workers. Methods: A cross-sectional study analyzed partial data from a cohort profile conducted in Vitória da Conquista (BA) and in São Geraldo da Piedade (MG) in January 2022 with 105 workers of "Estratégia de Saúde da Família (ESF)" who answered a self-report electronic questionnaire. The variables of this research were: sociodemographic characteristics, job aspects, and the presence of NCDs and multimorbidity. Data were analyzed with descriptive statistics, cluster analysis, chi-square test, and binary logistic regression. Results: The five NCDs more prevalent were: rhinitis/sinusitis (30,5%), headache/migraine (26,7%), hypercholesterolemia (26,7%), gastritis (19,0%), and hypertension (19,0%). The prevalence of multimorbidity was 26,7%, and 11 cluster combinations were found (34,4%) since the higher score was identified in the aggregation of the five more prevalent diseases. There was an association between the presence of multimorbidity and the sex (the prevalence is 24% smaller for men) and between the presence of multimorbidity and the level of education (the prevalence is 26% higher in people without a college degree). Conclusion: The prevalence of multimorbidity was associated with the female sex and with people without a college degree. Furthermore, an association was observed between the five more prevalent NCDs in this study and the level of education (AU).
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Humains , Études épidémiologiques , Loi du khi-deux , Analyse de regroupements , Maladie chronique/épidémiologie , Personnel de santé , Multimorbidité , Facteurs sociodémographiquesRésumé
Los métodos de inteligencia artificial utilizando herramientas de aprendizaje no supervisado pueden apoyar la resolución de problemas al establecer patrones de agrupación o clasificación no identificados, que permiten tipificar subgrupos para manejos más individualizados. Existen pocos estudios que permiten conocer la influencia de síntomas digestivos y extradigestivos en la tipificación dispepsia funcional; esta investigación realizó un análisis de aprendizaje no supervisado por conglomerados basándose en dichos síntomas, para discriminar subtipos de dispepsia y comparar con una de las clasificaciones actualmente más aceptadas. Se realizó un análisis exploratorio de conglomerados en adultos con dispepsia funcional según síntomas digestivos, extradigestivos y emocionales. Se conformaron patrones de agrupación de tal manera que dentro de cada grupo existiera homogeneidad en cuanto a los valores adoptados por cada variable. El método de análisis de conglomerados fue bietápico y los resultados del patrón de clasificación se compararon con una de las clasificaciones más aceptadas de dispepsia funcional. De 184 casos, 157 cumplieron con criterios de inclusión. El análisis de conglomerados excluyó 34 casos no clasificables. Los pacientes con dispepsia de tipo 1 (conglomerado uno), presentaron mejoría al tratamiento en el 100% de los casos, solo una minoría presentaron síntomas depresivos. Los pacientes con dispepsia de tipo 2 (conglomerado dos) presentaron una mayor probabilidad de falla al tratamiento con inhibidor de bomba de protones, padecieron con mayor frecuencia trastornos de sueño, ansiedad, depresión, fibromialgia, limitaciones físicas o dolor crónico de naturaleza no digestiva. Esta clasificación de dispepsia por análisis de clúster establece una visión más holística de la dispepsia en la cual características extradigestivas, síntomas afectivos, presencia o no de trastornos de sueño y de dolor crónico permiten discriminar el comportamiento y respuesta al manejo de primera línea.
Artificial intelligence methods using unsupervised learning tools can support problem solving by establishing unidentified grouping or classification patterns that allow typing subgroups for more individualized management. There are few studies that allow us to know the influence of digestive and extra-digestive symptoms in the classification of functional dyspepsia. This research carried out a cluster unsupervised learning analysis based on these symptoms to discriminate subtypes of dyspepsia and compare with one of the currently most accepted classifications. An exploratory cluster analysis was carried out in adults with functional dyspepsia according to digestive, extra-digestive and emotional symptoms. Grouping patterns were formed in such a way that within each group there was homogeneity in terms of the values adopted by each variable. The cluster analysis method was two-stage and the results of the classification pattern were compared with one of the most accepted classifications of functional dyspepsia. Of 184 cases, 157 met the inclusion criteria. The cluster analysis excluded 34 unclassifiable cases. Patients with type 1 dyspepsia (cluster one) presented improvement after treatment in 100% of cases, only a minority presented depressive symptoms. Patients with type 2 dyspepsia (cluster two) presented a higher probability of failure to treatment with proton pump inhibitor, suffered more frequently from sleep disorders, anxiety, depression, fibromyalgia, physical limitations or chronic pain of a non-digestive nature. This classification of dyspepsia by cluster analysis establishes a more holistic vision of dyspepsia in which extradigestive characteristics, affective symptoms, presence or absence of sleep disorders and chronic pain allow discriminating behavior and response to first-line management.
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Objective To investigate the dietary intake of preschool children in Northwest China, and provide scientific basis for studying the dietary patterns and characteristics of preschool children and formulating targeted dietary interventions. Methods Using the self-designed “Semi-quantitative Food Frequency Questionnaire for Preschool Children in Northwest China“, a convenient sampling method was used to investigate the dietary intake of children aged 3 to 7 years in Northwest China. The factor analysis combined with the cluster method was used to extract the dietary pattern. Results Through factor analysis of the average daily food intake of preschool children, the results show that the KMO test value was 0.82, Bartlett’s test value was 4 528.97, and the associated probability was <0.001, so factor analysis can be performed. In order to obtain more typical factor components so that the results were easier to explain, under the guidance of nutrition experts, the first 4 common factors were finally retained for analysis, and the cumulative variance contribution rate was 62.17%. On this basis, the number of clusters was 4, and the K-means cluster analysis method was used to cluster the factor scores of various foods for preschool children. According to the proportions of various foods and the characteristics of the foods, The dietary patterns of preschool children can be divided into staple food-based dietary patterns, high-protein dietary patterns, healthy dietary patterns, and high-sugar dietary patterns. Conclusion Using factor analysis method, the scores of each food factor of preschool children were continuous variables, and the results were highly repeatable, and subsequent analysis can be carried out. The factor analysis combined with cluster analysis method extracting the dietary pattern of preschool children that had certain degree of science. According to the characteristics of the four dietary patterns extracted in this study, children's dietary interventions can be targeted to promote children's physical and mental health.
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ObjectiveTo explore the distribution of traditional Chinese medicine （TCM） syndromes of alopecia areata （AA）， and to provide reference for TCM clinical syndrome differentiation and classification of AA. MethodsAA patients who visited the specialized hairiness clinic of Beijing China-Japan Friendship Hospital were included. A questionnaire was developed including general information of the patients， history of hair loss （onset time， triggers and exacerbating factors， disease progression）， current symptoms （symptoms and signs）， medical history， personal history， family history， and hair microscopy examination results. The factor analysis and cluster analysis were used to determine the syndrome elements and to summarize the syndrome types. ResultsA total of 600 patients with AA were included， including 218 males （36.33%） and 382 females （63.67%）. Totally， 128 patients （21.33%） had a family history of hair loss， and 326 patients （54.33%） had a previous related underlying disease. The leading triggering and exacerbating factors of AA were tension and anxiety， accounting for 335 cases （55.83%） and 285 cases （47.50%）， respectively. The top 10 symptoms involved among patients were scalp oil， anxiety， irritability， dreaminess， fatigue， itching， tension， weakness and dandruff. The factor analysis showed that the factor rotation converged after 9 iterations， and finally obtained 12 common factors and 34 variables， with a cumulative contribution rate of 58.59%. In terms of disease location of AA， the main syndrome elements were liver， spleen and kidney， and the disease nature syndrome elements were mainly dampness-heat， qi stagnation， yin deficiency， qi deficiency， and blood deficiency. The clustering analysis of the 12 common factors showed that TCM syndromes could be summarized into four categories： internal retention of damp-heat， liver-kidney deficiency， qi and blood deficiency， and liver constraint and spleen deficiency. There were significant differences in the distribution of TCM syndromes in patients of different ages and genders （P＜0.001）. ConclusionThe main disease location of AA is in the liver， spleen， and kidney， with the liver being the key. The disease mechanism of AA is a deficiency-excess complex， initially manifested as excess and later becoming deficiency. The TCM syndromes mainly include four types which are internal retention of damp-heat， liver-kidney deficiency， qi and blood deficiency， and liver constraint and spleen deficiency.
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ObjectiveTo describe a COVID-19 outbreak due to SARS-CoV-2 Omicron variant in a school and provide suggestions for COVID-19 prevention and control. MethodsData on the COVID-19 outbreak in a school in Putuo District of Shanghai were collected from November 14 to December 20， 2022. Epidemiological characteristics， incidence rate of secondary cases and response measures were described and analyzed. ResultsA total of 27 COVID-19 cases were identified infected with SARS-CoV-2 Omicron BA.5.2 variant， including 14 students （51.9%） and 13 family members / teachers living with those students （48.1%）. The first case occurred on November 14， with peak incidence during November 16-18. The median generation interval of the second generation cases was 2 （2，3） days. The index case （case 1， a student） had a clear contact history outside the school， which was found through routine examination in key populations in the school. Immediate management was conducted after the notification. All the second generation cases were exposed students in the same class with case 1， which were identified during the quarantine， whereas the third generation cases were their family members/teachers living with the second generation cases. The incidence rate within the class and school were 36.8% and 3.0%， respectively. No further social transmission was found outside the school. ConclusionEarly detection， multi-sectoral collaboration， prompt control and quarantine measures are effective in containing SARS-CoV-2 transmission. Health promotion， surveillance， ventilation and prophylactic disinfection should be reinforced in schools， office buildings and other gathering places.
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ObjectiveTo investigate the characteristics of traditional Chinese medicine syndrome and the evolution of pathogenesis in different stages of atherosclerotic thrombotic cerebral infarction （ATCI）. MethodsClinical data of 3088 ATCI patients from 8 hospitals in 6 provinces and cities were collected from the hospital information system during January 1， 2015 to December 31， 2019. After staging and counting clinical symptoms， common factors were extracted using the principal component analysis method in factor analysis. Cluster analysis was then carried out on the basis of the factor analysis. The results of the combination of the evidence element identification， cluster analysis and expert discussion were used to discuss the evidence of the different disease stages of atherosclerotic cerebral infarction. ResultsOf the 3088 ATCI patients included， 2290 cases were in the acute phase and 798 in the non-acute phase. Excluding the main symptoms of ischaemic stroke， such as numbness and weakness of limbs， unfavourable movement， unfavourable speech and dizziness， we identified 84 indicators with a frequency ≥5% of the four diagnostic information variables. Of these， 36 indicators were observed in the acute phase and 35 in the non-acute phase. Factor analysis extracted 14 common factors from each phase. We selected factors with a loading coefficient ＞0.3 for evidence determination. These 14 groups of common factors were used as variables for clustering. After clustering， the acute， non-acute phase were each divided into 5 categories. Based on a combination of clinical practice and expert opinion， the symptoms identified in the acute period were syndrome of deficiency of both qi and yin， syndrome of blockade of wind-phlegm-static blood （36.07%）， syndrome of qi deficiency and blood stasis （20.74%）， syndrome of upward disturbance of wind-fire （15.15%）， syndrome of stirring wind due to yin deficiency （9.43%）， and syndrome of spleen deficiency and liver hyperactivity （3.80%）. In the non-acute phase， the symptoms were qi and yin deficiency with syndrome of qi stagnation and blood stasis （45.49%）， syndrome of deficiency of both qi and yin （20.05%）， syndrome of qi stagnation and blood stasis （16.42%）， spleen-kidney deficiency syndrome （8.52%）， and syndrome of hyperactivity of liver yang （4.89%）. ConclusionThe acute phase of AICI is mainly characterized by blood stasis， fire， internal wind， hyperactivity of yang， qi deficiency and yin deficiency， while the non-acute phase is characterized by yin deficiency， qi deficiency， blood stasis and qi stagnation. The main pathomechanism of ATCI involves deficiency of qi and yin， as well as obstruction of the channels by phlegm and blood stasis， and the fundamental pathomechanism is deficiency of qi and yin.
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Objective@#Based on physical activity (PA) and sedentary behavior (SB) variables on weekdays and weekends, the study aims to cluster the physical activities inside and outside kindergartens and to explore the cluster characteristics of different children using physical fitness indicators, so as to provide new strategies and methods for early childhood education and health.@*Methods@#From March to June 2019, 291 children aged 3-6 years from 6 kindergartens in Nanchang were recruited by a stratified cluster random sampling method. The ActiGraph GT3X-BT triaxial accelerometer was used to measure and analyze the PA and SB levels inside and outside the kindergarten. A twostep clustering algorithm model was employed for cluster analysis. Physical fitness were measured and evaluated according to the "National Physical Fitness Measurement Standard Manual (Preschool Section)". Differences in physical fitness among different clusters of children were compared, and the cluster characteristics of different children were analyzed.@*Results@#The clustering algorithm model indicated that based on six indicators, including PA and SB inside the kindergarten on weekdays, and PA and SB outside the kindergarten on both weekdays and weekends, children could be divided into three categories:active inside (high PA, low SB inside), active outside (high PA outside), and inactive (low PA, high SB both inside and outside). The average silhouette coefficient of the model was 0.3, indicating good clustering results. Both the active inside and active outside children showed significantly higher PA inside on weekdays, PA outside on weekdays and weekends, daily low intensity physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) than the inactive children ( F=157.91, 80.79 , 95.86, 95.52, 124.74, P <0.05). After adjusting for gender and age, the physical fitness scores of both active outside ( 19.03 ±0.47) and active inside (19.11±0.40) were significantly higher than those of the inactive children (17.94±0.31). Additionally, active inside children (3.91±0.14) also showed significantly better performance in continuous double-leg jumps, compared to inactive children (3.45±0.11) ( P <0.05).@*Conclusion@#Children active inside and those active outside perform well in PA. Future research should focus on the proportion of structured and unstructured PA time to enhance the overall physical fitness of children.
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Objective@#To investigate the epidemiological characteristics of 45 norovirus clusters in Baoshan District, Shanghai Municipality from 2019 to 2021, so as to provide the evidence for improving the management of norovirus clusters. @*Methods@#The epidemiological characteristics and laboratory testing of 45 norovirus clusters were collected in Baoshan District from 2019 to 2021, and the temporal distribution, population distribution, distribution of places of norovirus clusters, clinical manifestations, laboratory testing results, origin of norovirus infection and transmission routes of norovirus clusters were analyzed using a descriptive epidemiological method. @*Results@#A total of 45 norovirus clusters involving 29 379 individuals were reported in Baoshan District from 2019 to 2021, and 435 cases with norovirus infections were identified, with an average attack rate of 1.48%. Norovirus infection most often occurred from November to April of the following year, and the infection predominantly occurred among students (408 cases, 93.79%). There were 25 norovirus clusters in kindergartens (55.56%), 18 clusters in primary and middle schools (40.00%), one cluster in a social care facility and one cluster in a geriatric ward. Vomiting was the predominant clinical symptom (416 cases, 95.63%). The positive rate of norovirus was 37.35% in 597 samples. There were 40 norovirus clusters caused by the norovirus GⅡ genotype (88.89%), and the median duration of the norovirus cluster was 6 days (interquartile range, 1 day). In addition, 82.22% of the norovirus clusters reported to centers for disease control and prevention within 1 day,and 88.89% of the clusters were transmitted through human to human transmission or vomitus of cases.@*Conclusion@#The norovirus clusters predominantly occur in winter/spring and among students in Baoshan District from 2019 to 2021. Kindergartens and primary and middle schools are main places of norovirus infections, and the norovirus GⅡ genotype is the main type of pathogens. Human-to-human transmission and exposure to patients' vomitus are the main routes of transmission.
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Objective@#To investigate the epidemiological characteristics of clusters of hand, foot and mouth disease (HFMD) in kindergartens and schools in Jinshan District, Shanghai Municipality from 2016 to 2021, so as to provide insights into improving the prevention and control measurements of HFMD in Jinshan District.@*Methods@#Data of HFMD cases in Jinshan District from 2016 to 2021 were collected through Chinese Disease Prevention and Control Information System, and data pertaining to HFMD clusters in kindergartens and schools were also collected. The scale, temporal distribution, regional distribution and distribution of cluster places were descriptively analyzed. @*Results@#Totally 338 HFMD clusters involving 974 cases were identified in kindergartens and schools in Jinshan District from 2016 to 2021, with an average attack rate of 9.89%. The number of cases in each cluster ranged from 2 to 12 cases, with a median number of 2 (interquartile range, 1) cases, and there were 223 clusters involving 2 cases, accounting for 65.98%. The duration of clusters ranged from 1 to 16 days, with a median duration of 4 (interquartile range, 3) days. HFMD peaked from April to June (136 clusters, 40.24%) and from September to December (176 clusters, 52.07%). All the 11 streets and towns (high-tech zones) were reported HFMD clusters, and the three largest number of clusters were reported in Zhujing Town (72 clusters, 21.30%), Shanyang Town (63 clusters, 18.64%) and Tinglin Town (40 clusters, 11.83%). There were 268 HFMD clusters in kindergartens (79.29%) and 70 in schools (20.71%), and the prevalence of HFMD clusters was higher in kindergartens than in schools (35.51% vs. 17.03%; χ2=31.507, P<0.001). @*Conclusions@#HFMD clusters in kindergartens and schools showed seasonal characteristics from 2016 to 2021 in Jinshan District, which predominantly occurred in Zhujing Town, Shanyang Town and Tinglin Town, and kindergartens were the main places.
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ObjectiveTo characterize a cluster epidemic of coronavirus disease 2019 （COVID-19）on campus in Baotou city and provide evidence for the prevention and control of COVID-19 in universities. MethodsField epidemiological investigation was conducted to determine the confirmed cases and close contacts in the cluster epidemic of COVID-19 in a university of western China in 2022. Descriptive analysis was utilized to illustrate the epidemic timeline and schematic diagram. Real-time quantitative fluorescent PCR（RT-PCR） was used to detect the nucleic acid of SARS-CoV-2 in the collected samples. ResultsA total of eight students were infected in the cluster epidemic on campus， including 2 confirmed cases and 6 asymptomatic cases. Case A1 infected other 7 students in the same dormitory or on the same floor by close contact. After a 10-day quarantine and medical observation， no further case was reported. The overall incidence rate was 1.22% and the incidence rate among close contacts was 2.24%. ConclusionThis cluster epidemic of COVID-19 is characterized by strong and fast transmission. Repeated contact with no personal protection in confined space is highly vulnerable to cluster epidemic. Prevention of cluster epidemics on campus remains crucial to contain the epidemic. Therefore， it is necessary to strengthen the management of campus containment， interrupt the transmission route， identify close contacts and implement quarantine management as early as possible to avoid the cluster epidemics on campus.
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ObjectiveHigh performance liquid chromatography （HPLC） was used to establish the specific chromatograms of Aurantii Fructus from different origins， and the quality variability of Aurantii Fructus from Sichuan was analyzed and evaluated by combining entropy weighting method and grey correlation method. MethodHPLC was performed on an Agilent Eclipse Plus C18 column （4.6 mm×250 mm， 5 μm） with a gradient elution of methanol （A）-0.1% phosphoric acid aqueous solution as the mobile phase （0-12 min， 25%-33%A； 12-21 min， 33%-41%A； 21-30 min， 41%-42%A； 30-40 min， 42%-59%A； 40-53 min， 59%-72%A； 53-60 min， 72%A； 60-65 min， 72%-100%A； 65-70 min， 100%A； 70~71 min， 100%-25%A； 71-80 min， 25% A） at a flow rate of 1.0 mL·min-1， the injection volume was 10 μL and the detection wavelength was 330 nm. Fifty batches of Aurantii Fructus samples from different origins （Sichuan， Chongqing， Jiangxi and Hunan） were tested， and the similarity evaluation software is used to generate characteristic profiles and compare them with control profile for peak identification， and then to evaluate the similarity of the samples. IBM SPSS 19.0 and SIMCA 14.1 were used to perform multivariate statistical analysis on the results of the samples， and then the entropy weighting method and grey correlation were used to calculate the overall quality score of samples from Sichuan. ResultHPLC specific chromatogram of Aurantii Fructus was established， and 14 common peaks were identified as eriocitrin， neoeriocitrin， narirutin， naringin， hesperidin， neohesperidin， meranzin hydrate， poncirin， meranzin， marmin， nobiletin， 3，3′，4′，5，6，7，8-heptamethoxyflavone， tangeretin and auraptene. And the similarities between the samples from Sichuan and the control chromatogram were all above 0.980. The samples could be classified into four categories according to their main origins by chemical pattern recognition， and the results of cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were all able to discriminate the samples of different main origins effectively. The comprehensive evaluation results of entropy weighting method combined with grey correlation showed that the quality of Aurantii Fructus from Sichuan varied greatly among different origins， and the quality of Aurantii Fructus from Sichuan was ranked as Bazhong>Luzhou>Chongqing>Neijiang. ConclusionIn this study， the characteristic mapping of Aurantii Fructus from Sichuan is established， and combined with the analytical methods of chemometrics and grey correlation， the quality of samples from different origins can be effectively differentiated， which can provide a reference for the comprehensive evaluation and control of the quality of Aurantii Fructus from Sichuan.