ABSTRACT
Introduction: Serum levels of vitamin D on the development and exacerbation of symptoms of Covid-19 disease have been expressed and discussed in several studies. The present study was performed aimed to systematically review the studies performed on the relationship between serum level of vitamin D with the incidence and severity of Covid-19 symptoms disease in women and children. Method(s): In this systematic review study, to obtain the related studies, the English databases of Pubmed, Scopus and Web of Science were searched up to April 4, 2021 with the English keywords of Vitamin D and Covid-19 with combination of operators "AND" and "OR". Inclusion criteria were: cohort articles, case-control or cross-sectional and English language articles and the study population were women or children. The quality of articles was assessed using the Strobe checklist. Based on the Strobe criteria, studies which scored moderate and good in the assessment were included in the study. Result(s): Out of 315 articles, 23 qualified articles were reviewed. In these studies, the association between serum vitamin D levels and the incidence, severity, and mortality of Covid-19 was assessed. Two studies included the population of children and 21 studies of women. Conclusion(s): Low serum levels of vitamin D are significantly associated with an increase in the incidence of Covid-19 and the severity of the disease, but this relationship with the mortality rate from the disease provides contradictory results in several studies;therefore, more studies in this field are necessary to achieve more definite results, especially in children. Copyright © 2022, Mashhad University of Medical Sciences. All rights reserved.
ABSTRACT
Introduction: Serum levels of vitamin D on the development and exacerbation of symptoms of Covid-19 disease have been expressed and discussed in several studies. The present study was performed aimed to systematically review the studies performed on the relationship between serum level of vitamin D with the incidence and severity of Covid-19 symptoms disease in women and children. Method(s): In this systematic review study, to obtain the related studies, the English databases of Pubmed, Scopus and Web of Science were searched up to April 4, 2021 with the English keywords of Vitamin D and Covid-19 with combination of operators "AND" and "OR". Inclusion criteria were: cohort articles, case-control or cross-sectional and English language articles and the study population were women or children. The quality of articles was assessed using the Strobe checklist. Based on the Strobe criteria, studies which scored moderate and good in the assessment were included in the study. Result(s): Out of 315 articles, 23 qualified articles were reviewed. In these studies, the association between serum vitamin D levels and the incidence, severity, and mortality of Covid-19 was assessed. Two studies included the population of children and 21 studies of women. Conclusion(s): Low serum levels of vitamin D are significantly associated with an increase in the incidence of Covid-19 and the severity of the disease, but this relationship with the mortality rate from the disease provides contradictory results in several studies;therefore, more studies in this field are necessary to achieve more definite results, especially in children. Copyright © 2022, Mashhad University of Medical Sciences. All rights reserved.
ABSTRACT
Introduction: Serum levels of vitamin D on the development and exacerbation of symptoms of Covid-19 disease have been expressed and discussed in several studies. The present study was performed aimed to systematically review the studies performed on the relationship between serum level of vitamin D with the incidence and severity of Covid-19 symptoms disease in women and children.
ABSTRACT
INTRODUCTION: Telemedicine has been available for more than 20 years and is playing an increasing role in clinical care. However, few studies have evaluated the value of telemedicine in neurosurgical consultations and in guiding neurosurgical care. METHODS: In this prospective observational study, we examined our experience with emergency video telemedicine consultations for neurosurgical patients at a rural hospital system. Our system uses secure and HIPAA-compliant video conferencing to connect providers and patients to a remote neurosurgery consultant, and operates one out of two days. RESULTS: During a ten-month period, 229 neurosurgical telemedicine consultations were performed. Two-thirds of the patients had intracranial pathology, 28% had spinal pathology and 3% of the consults were for patients who returned after care at our institution or required clearance for another procedure. Five patients required transfer within the hospital system and 12 out of the hospital system for a higher level of care (total 7.4%). Patients that required transfer most frequently had intracranial pathology (70%). The number of patients transferred out was less than in the year before telemedicine was available. CONCLUSION: Telemedicine consultation for neurosurgery is feasible for a variety of neurosurgical pathologies, improves patient access to neurosurgery expertise, and facilitates appropriate transfers to a higher level of care when required. Our findings are especially relevant in light of the COVID-19 pandemic, which has highlighted the importance of delivering quality medical care when physical patient contact is not possible.
ABSTRACT
Introduction: Coronavirus has become a worldwide epidemic and can spread rapidly. Pregnant women and infants are more vulnerable due to weak immune systems. This study was performed with aim to review the clinical manifestations, maternal, fetal, and neonatal outcomes in pregnant women with COVID-19. Methods: In this review study, to find the related studies, databases of Pubmed, Scopus, Medrxiv, and Web of Science were searched from the first of 2019 until January 30, 2021 using the keywords of Corona virus, pregnancy outcomes with all possible combinations and their English equivalents. Boolean operators (AND, NOT, OR) were used to search the databases. According to Strobe criteria, the studies which received high and medium quality evaluation were included in the study and reviewed. Results: Out a total of 3771 studies, 17 were included in this review. 4494 pregnant women were corona positive in 9 different countries. The most common symptoms of corona virus in mothers were fever and cough, and the neonatal complication of the virus included preterm delivery and respiratory distress. Most deliveries were by cesarean section and most patients used antibiotics and antiviral drugs for treatment. There was not much evidence to support the vertical transmission of Covid-19 through vaginal delivery. The most common diagnostic test for Covid-19 disease was PCR. Conclusion: In most studies, the increase in cesarean delivery was due to fetal distress. However, due to the vulnerability of these two groups, preventive and precautionary measures should be considered and more emphasis should be done on educating people.
ABSTRACT
The Internet of Things (IoT) creates an ecosystem that connects people and objects through the internet. IoT-enabled healthcare has revolutionized healthcare delivery by moving toward a more pervasive, patient-centered, and preventive care model. In the ongoing COVID-19 pandemic, it has also shown a great potential for effective remote patient health monitoring and management, which leads to preventing straining the healthcare system. Nevertheless, due to the heterogeneity of data sources and technologies, IoT-enabled healthcare systems often operate in vertical silos, hampering interoperability across different systems. Consequently, such sensory data are rarely shared nor integrated, which can undermine the full potential of IoT-enabled healthcare. Applying semantic technologies to IoT is a promising approach for fulfilling heterogeneity, contextualization, and situation-awareness requirements for real-time healthcare solutions. However, the enrichment of sensor streams has been under-explored in the existing literature. There is also a need for an ontology that enables effective patient health monitoring and management during infectious disease outbreaks. This study, therefore, aims to extend the existing ontology to allow patient health monitoring for the prevention, early detection, and mitigation of patient deterioration. We evaluated the extended ontology using competency questions and illustrated a proof-of-concept of ontology-based semantic representation of vital sign streams. Copyright © 2021 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved
ABSTRACT
The health of individuals and populations requires concerted and collaborative efforts by healthcare, public health, social care, and personal health management. The inter-sectoral collaborations are more crucial than ever, especially when facing public health crises, including the ongoing pandemic of coronavirus disease-2019 (COVID-19). Although the capabilities of healthcare and public health systems have increased with a dramatic boost in the use of the Internet of Things (IoT), such IoT-enabled systems are often operating in silos. A pressing need, thus, is the seamless integration of those currently incompatible systems. A promising solution is to leverage semantic technologies to increase interoperability among such systems. Therefore, this article aims to: conduct a systematic review on the current state-of-the-art semantic IoT solutions used in health domain;identify the associated challenges;propose a federated edge-cloud semantic IoT architecture to facilitate the healthcare and public health (HC-PH) collaborations for the health and well-being of the individuals and populations. © 2020 The Authors. Published by Elsevier B.V.