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Targeting Mitochondrial Oncometabolites: A fresh Way of Defeat Substance Weight within Cancer.
The reported neurological complications of coronaviruses are summarized in this article.Stress is one of the effective factors in the occurrence of negative effects during pregnancy that can cause adverse outcomes such as preterm delivery and reduced intrauterine growth of the fetus in pregnant women. Therefore, one of the serious concerns during the COVID-19 pandemic is the physical health and mental health of pregnant women. This study aimed to evaluate the physical health status with the spiritual and mental health of pregnant women during the COVID-19 pandemic. The study is a descriptive study in 2019-2020 and the samples were randomly selected from all pregnant women who referred to hospitals and private maternity centers before and during the COVID-19 pandemic and performed all pregnancy and fetal health tests. It was performed on 560 pregnant female samples. The mental status of pregnant women was assessed using the DASS Spiritual Health and Stress Questionnaire. Data analysis was performed using SPSS statistical software (version 24). click here The results of this study showed that preterm birth, height, weight, and head circumference of babies and lungs and respiratory status of children with mental health and stress levels of pregnant women during the corona are significant compared with the previous of corona (p  less then  0.05). Increasing stress and decreasing the mental health of pregnant women during COVID-19 pandemic can increase the influencing factors in preterm delivery and unhealthy birth.We report a case of a 39-year-old woman with a psychiatric history of schizoaffective disorder with catatonia, dependent personality disorder and substance use disorder whose symptoms have been very difficult to control. During her most recent inpatient admission, she was treated with electroconvulsive therapy (ECT) for catatonia. Our treatment team was hopeful that ECT was making a difference for this patient. However, she was only able to receive two sessions of treatment due to new hospital protocols related to the coronavirus pandemic. Although the patient was not suspected to have the coronavirus, she could no longer undergo ventilation with a bag and mask during the procedure. Bag-mask ventilation is known to aerosolise the coronavirus and other diseases and potentially put healthcare workers at risk. Although orotracheal intubation also aerosolises the coronavirus, this was the only means of airway management still allowed by anaesthesia providers at this time. Our psychiatry team estimated that the risks of intubation outweighed the benefits of treatment, and ECT was cancelled. Without additional ECT treatments, the patient again decompensated for several weeks before being stabilised on clozapine, haloperidol and lorazepam. Although she eventually had a positive treatment outcome, her hospital course was likely prolonged due to unforeseen events related to the novel coronavirus. We feel that the current medical climate is unprecedented and is interfering with necessary psychiatric treatment in an unanticipated way. Anaesthesiologists will need to be flexible while working with psychiatrists and identify safe ways to provide this necessary psychiatric treatment for patients.The collaborative effort of an international research team from the Early Career Psychiatrists section of the World Psychiatry Association has brought about an easy-to-use, quick and stepwise mental health care toolkit for the identification and appropriate referral of those in need of mental health care during the pandemic. This simple guide can be applied in the general outpatient setting and is catered for all healthcare professionals, regardless of their expertise within the mental health field with minimal training. It is our hope that by incorporating this toolkit into our daily clinical care during the pandemic for high-risk patients and patients with non-specific complaints, we will be able to bridge the mental health gap present in our society.
With the rise of connected sensor technologies, there are seemingly endless possibilities for new ways to measure health. These technologies offer researchers and clinicians opportunities to go beyond brief snapshots of data captured by traditional in-clinic assessments, to redefine health and disease. Given the myriad opportunities for measurement, how do research or clinical teams know what they
be measuring? Patient engagement, early and often, is paramount to thoughtfully selecting what is most important. Regulators encourage stakeholders to have a patient focus but actionable steps for continuous engagement are not well defined. Without patient-focused measurement, stakeholders risk entrenching digital versions of poor traditional assessments and proliferating low-value tools that are ineffective, burdensome, and reduce both quality and efficiency in clinical care and research.

This article synthesizes and defines a sequential framework of core principles for selecting and developing measurements aningful, regardless of the product's regulatory classification, type of measure, or context of use. To evaluate meaningfulness of signals derived from digital sensors, the following four-level framework is useful Meaningful Aspect of Health, Concept of Interest, Outcome to be measured, and Endpoint (exclusive to research). Incorporating patient input is a dynamic process that requires more than a single, transactional touch point but rather should be conducted continuously throughout the measurement selection process. We recommend that developers, clinicians, and researchers reevaluate processes for more continuous patient engagement in the development, deployment, and interpretation of digital measures of health.The internet of healthcare things aims at connecting biosensors, clinical information systems and electronic health dossiers. The resulting data expands traditionally available diagnostics with digital biomarkers. In this technical note, we report the implementation and pilot operation of a device- and analytics-agnostic automated monitoring platform for in-house patients at hospitals. Any available sensor, as well as any analytics tool can be integrated if the application programming interface is made available. The platform consists of a network of Bluetooth gateways communicating via the hospital's secure Wi-Fi network, a server application (Device Hub) and associated databases. Already existing access points or low-cost hardware can be used to run the gateway software. The platform can be extended to a remote patient monitoring solution to close the gap between in-house treatments and follow-up patient monitoring.
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