Anxiety is a common psychiatric comorbidity among PWE. There were sex differences in the prevalence and risk factors for anxiety in patients.
Anxiety is a common psychiatric comorbidity among PWE. There were sex differences in the prevalence and risk factors for anxiety in patients.
Persons with epilepsy (PWE), especially those with limited education backgrounds from developing countries, are challenged by complicated medication regimens, debilitating seizures, and stigmatization in their daily life. Consequently, it is difficult for physicians to ensure medication adherence. This study validates a novel mobile application which was hypothesized to increase medication adherence and self-management skills in PWE. Created by medical professionals, the application included behavioral and educational components and was built to be easy-to-understand for those of socio-economically disadvantaged backgrounds.
This was a parallel, two-armed randomized controlled trial in which a total of 96 participants were enrolled from a Neurology Outpatient Department into a control standard care group and a mobile application group that used the smartphone application (app) in addition to the standard medical treatment. The app was intuitive and easy to understand for those coming from a socio-economicrence and self-management skills in Indian persons with epilepsy.Climate change is with us. As professionals who place value on evidence-based practice, climate change is something we cannot ignore. The current pandemic of the novel coronavirus, SARS-CoV-2, has demonstrated how global crises can arise suddenly and have a significant impact on public health. Global warming, a chronic process punctuated by acute episodes of extreme weather events, is an insidious global health crisis needing at least as **** attention. Many neurological diseases are complex chronic conditions influenced at many levels by changes in the environment. This review aimed to collate and evaluate reports from clinical and basic science about the relationship between climate change and epilepsy. The keywords climate change, seasonal variation, temperature, humidity, thermoregulation, biorhythm, gene, circadian rhythm, heat, and weather were used to search the published evidence. A number of climatic variables are associated with increased seizure frequency in people with epilepsy. Climate change-inddifficult. We need more data on possible climate-driven altered risks for seizures, epilepsy, and epileptogenesis, to identify underlying mechanisms at systems, cellular, and molecular levels for better understanding of the impact of climate change on epilepsy. Further focussed data would help us to develop evidence for mitigation methods to do more to protect people with epilepsy from the effects of climate change.The mortality rate of Breast Cancer in women has increased, both in west and east. Early detection is important to improve the survival rate of cancer patients. The manual detection and identification of cancer in whole slide images are critical and difficult tasks for pathologists. In this work, we introduce PMNet, a pipeline to detect regions with invasive characteristics in whole slide images. Our method employs scaled networks for detecting breast cancer in whole slide images. It classifies whole slide images on patch level into normal, benign, in situ and invasive tumors. Our approach yielded f1-score of 88.9(±1.7)% that outperforms the benchmark f1-score of 81.2(±1.3)% on patch level and achieved an average dice coefficient of 69.8% on 10 whole slide images compared to the benchmark average dice coefficient of 61.5% on **** dataset. Similarly, on the dryad test dataset that comprises of 173 whole slide images, we achieved an average dice coefficient of 82.7% as compared to the previous state-of-art of 76% without fine-tuning on this dataset. We further proposed a method to generate patch level annotations for the image level TCGA breast cancer database that will be useful for future deep learning methods.Vestibule Segmentation is of great significance for the clinical diagnosis of congenital ear malformations and cochlear implants. However, automated segmentation is a challenging task due to the tiny size, blur boundary, and drastic changes in shape and size. In this paper, a vestibule segmentation method from CT images has been proposed specifically, which exploits different deep feature fusion strategies, including convolutional feature fusion for different receptive fields, channel attention based feature channel fusion, and encoder-decoder feature fusion. The experimental results on the self-established vestibule segmentation dataset show that, compared with several state-of-the-art methods, our method can achieve superior segmentation accuracy.This study aims to examine whether maternal smoking, birth weight, birth month and breastfeeding are associated with COVID-19 infection and hospitalisation. Maternal smoking was positively associated with COVID-19 infection. Breastfeeding was negatively associated with COVID-19 infection. The odds of being hospitalised due to COVID-19 were higher among those who had lower birthweight and mothers who were smoking during pregnancy.
Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) is a rare and fatal disorder that occurs in the developing fetal lungs; at birth, infants exhibit an oxygenation disorder accompanied by severe pulmonary hypertension (PH) and have a very short life span. https://www.selleckchem.com/ ACDMPV is definitively diagnosed by pathological findings, and infants born with unexplained severe PH may not be properly diagnosed without a biopsy or autopsy.
Japanese infants with unexplained severe PH were enrolled in this study. Genetic analyses were performed on DNA extracted from peripheral blood leukocytes. Sanger sequencing or next-generation sequencing was performed by coding exons and introns for FOXF1 in all samples. For individuals without pathogenic exonic variants, multiplex ligation-dependent probe amplification was performed to identify copy number variations (CNVs) in exons, introns, and in the upstream region of FOXF1.
This study included 30 infants who were diagnosed over the course of nine years. Four individuals had the pathogenic variations on the exon 1 of FOXF1, including two frameshift and two missense variations.
Anxiety is a common psychiatric comorbidity among PWE. There were sex differences in the prevalence and risk factors for anxiety in patients.
Anxiety is a common psychiatric comorbidity among PWE. There were sex differences in the prevalence and risk factors for anxiety in patients.
Persons with epilepsy (PWE), especially those with limited education backgrounds from developing countries, are challenged by complicated medication regimens, debilitating seizures, and stigmatization in their daily life. Consequently, it is difficult for physicians to ensure medication adherence. This study validates a novel mobile application which was hypothesized to increase medication adherence and self-management skills in PWE. Created by medical professionals, the application included behavioral and educational components and was built to be easy-to-understand for those of socio-economically disadvantaged backgrounds.
This was a parallel, two-armed randomized controlled trial in which a total of 96 participants were enrolled from a Neurology Outpatient Department into a control standard care group and a mobile application group that used the smartphone application (app) in addition to the standard medical treatment. The app was intuitive and easy to understand for those coming from a socio-economicrence and self-management skills in Indian persons with epilepsy.Climate change is with us. As professionals who place value on evidence-based practice, climate change is something we cannot ignore. The current pandemic of the novel coronavirus, SARS-CoV-2, has demonstrated how global crises can arise suddenly and have a significant impact on public health. Global warming, a chronic process punctuated by acute episodes of extreme weather events, is an insidious global health crisis needing at least as much attention. Many neurological diseases are complex chronic conditions influenced at many levels by changes in the environment. This review aimed to collate and evaluate reports from clinical and basic science about the relationship between climate change and epilepsy. The keywords climate change, seasonal variation, temperature, humidity, thermoregulation, biorhythm, gene, circadian rhythm, heat, and weather were used to search the published evidence. A number of climatic variables are associated with increased seizure frequency in people with epilepsy. Climate change-inddifficult. We need more data on possible climate-driven altered risks for seizures, epilepsy, and epileptogenesis, to identify underlying mechanisms at systems, cellular, and molecular levels for better understanding of the impact of climate change on epilepsy. Further focussed data would help us to develop evidence for mitigation methods to do more to protect people with epilepsy from the effects of climate change.The mortality rate of Breast Cancer in women has increased, both in west and east. Early detection is important to improve the survival rate of cancer patients. The manual detection and identification of cancer in whole slide images are critical and difficult tasks for pathologists. In this work, we introduce PMNet, a pipeline to detect regions with invasive characteristics in whole slide images. Our method employs scaled networks for detecting breast cancer in whole slide images. It classifies whole slide images on patch level into normal, benign, in situ and invasive tumors. Our approach yielded f1-score of 88.9(±1.7)% that outperforms the benchmark f1-score of 81.2(±1.3)% on patch level and achieved an average dice coefficient of 69.8% on 10 whole slide images compared to the benchmark average dice coefficient of 61.5% on BACH dataset. Similarly, on the dryad test dataset that comprises of 173 whole slide images, we achieved an average dice coefficient of 82.7% as compared to the previous state-of-art of 76% without fine-tuning on this dataset. We further proposed a method to generate patch level annotations for the image level TCGA breast cancer database that will be useful for future deep learning methods.Vestibule Segmentation is of great significance for the clinical diagnosis of congenital ear malformations and cochlear implants. However, automated segmentation is a challenging task due to the tiny size, blur boundary, and drastic changes in shape and size. In this paper, a vestibule segmentation method from CT images has been proposed specifically, which exploits different deep feature fusion strategies, including convolutional feature fusion for different receptive fields, channel attention based feature channel fusion, and encoder-decoder feature fusion. The experimental results on the self-established vestibule segmentation dataset show that, compared with several state-of-the-art methods, our method can achieve superior segmentation accuracy.This study aims to examine whether maternal smoking, birth weight, birth month and breastfeeding are associated with COVID-19 infection and hospitalisation. Maternal smoking was positively associated with COVID-19 infection. Breastfeeding was negatively associated with COVID-19 infection. The odds of being hospitalised due to COVID-19 were higher among those who had lower birthweight and mothers who were smoking during pregnancy.
Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) is a rare and fatal disorder that occurs in the developing fetal lungs; at birth, infants exhibit an oxygenation disorder accompanied by severe pulmonary hypertension (PH) and have a very short life span. https://www.selleckchem.com/ ACDMPV is definitively diagnosed by pathological findings, and infants born with unexplained severe PH may not be properly diagnosed without a biopsy or autopsy.
Japanese infants with unexplained severe PH were enrolled in this study. Genetic analyses were performed on DNA extracted from peripheral blood leukocytes. Sanger sequencing or next-generation sequencing was performed by coding exons and introns for FOXF1 in all samples. For individuals without pathogenic exonic variants, multiplex ligation-dependent probe amplification was performed to identify copy number variations (CNVs) in exons, introns, and in the upstream region of FOXF1.
This study included 30 infants who were diagnosed over the course of nine years. Four individuals had the pathogenic variations on the exon 1 of FOXF1, including two frameshift and two missense variations.
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