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1.
Children (Basel) ; 8(9)2021 Sep 06.
Article in English | MEDLINE | ID: covidwho-20232696

ABSTRACT

Infections of the central nervous system (CNS) are mainly caused by viruses, and these infections can be life-threatening in pediatric patients. Although the prognosis of CNS infections is often favorable, mortality and long-term sequelae can occur. The aims of this narrative review were to describe the specific microbiological and clinical features of the most frequent pathogens and to provide an update on the diagnostic approaches and treatment strategies for viral CNS infections in children. A literature analysis showed that the most common pathogens worldwide are enteroviruses, arboviruses, parechoviruses, and herpesviruses, with variable prevalence rates in different countries. Lumbar puncture (LP) should be performed as soon as possible when CNS infection is suspected, and cerebrospinal fluid (CSF) samples should always be sent for polymerase chain reaction (PCR) analysis. Due to the lack of specific therapies, the management of viral CNS infections is mainly based on supportive care, and empiric treatment against herpes simplex virus (HSV) infection should be started as soon as possible. Some researchers have questioned the role of acyclovir as an empiric antiviral in older children due to the low incidence of HSV infection in this population and observed that HSV encephalitis may be clinically recognizable beyond neonatal age. However, the real benefit-risk ratio of selective approaches is unclear, and further studies are needed to define appropriate indications for empiric acyclovir. Research is needed to find specific therapies for emerging pathogens. Moreover, the appropriate timing of monitoring neurological development, performing neuroimaging evaluations and investigating the effectiveness of rehabilitation during follow-up should be evaluated with long-term studies.

2.
West European Politics ; 46(2):425-436, 2023.
Article in English | ProQuest Central | ID: covidwho-2228092

ABSTRACT

The effects of COVID-19 on democracy and mental health are still under investigation. In this article, it is considered that, on average, higher COVID-19 stressors and symptoms of distress are associated with lower political support and that higher COVID-19 stressors are associated with higher symptoms of mental/emotional distress. This formulation was tested by conducting two online surveys in Britain in August 2020 and March 2021. Strong support was found for this hypothesis. Greater worry about COVID-19 life changes is associated with a lower evaluation of government performance on the pandemic and with a lower perceived responsiveness of the political system;higher COVID-19 stress resulting from anti-pandemic measures is associated with a poorer evaluation of government performance and, subsequently, with less trust in government. It was also found that higher COVID-19 worry and stress were associated with more symptoms of mental/emotional distress. These findings highlight that pandemic-related stressors may influence people's political engagement and mental health.

3.
West European Politics ; : 1-12, 2022.
Article in English | Taylor & Francis | ID: covidwho-1774083
4.
BJPsych Open ; 7(6): e182, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1443809

ABSTRACT

BACKGROUND: Mental disorders are currently the greatest global health burden. The coronavirus diseases 2019 (COVID-19) pandemic is having an adverse impact on people's mental health, particularly in vulnerable populations, such as refugees. AIMS: The present study was designed to examine the association between COVID-19 and changes in mental health in Syrian refugees in Turkey. METHOD: We conducted a two-wave panel survey of a representative sample of 302 of the estimated 500 000 Syrian refugees (ages 18 and older) living under humanitarian support in Istanbul (first wave between 9 and 15 July 2020 and the follow-up between 11 and 14 September 2020). We administered seven items from the CoRonavIruS Health Impact Survey in addition to one-context specific item about life changes because of COVID-19, and measures of depression (10-item Center for Epidemiologic Study Depression Scale, CESD-10), anxiety (6-item State-Trait Anxiety Inventory, STAI-6) and perceived stress (Perceived Stress Scale, PSS-4). RESULTS: A factor analysis yielded three COVID-19 factors, labelled 'social relationships', 'stress' and 'hope.' We conducted a series of cross-lag panel analyses to test associations between the COVID-19 factors and mental health. We found associations between all COVID-19 factors and CESD-10, between COVID-19 'stress' and STAI-6, and between COVID-19 'stress' and COVID-19 'hope' and PSS-4. CONCLUSIONS: Our measures of life changes because of the COVID-19 pandemic are associated with changes in the mental health of Syrian refugees living in Istanbul. It is therefore important that they are provided with services to reduce what may be particularly debilitating consequences of COVID-19.

5.
Sci Rep ; 11(1): 15619, 2021 08 02.
Article in English | MEDLINE | ID: covidwho-1338550

ABSTRACT

Triage is crucial for patient's management and estimation of the required intensive care unit (ICU) beds is fundamental for health systems during the COVID-19 pandemic. We assessed whether chest computed tomography (CT) of COVID-19 pneumonia has an incremental role in predicting patient's admission to ICU. We performed volumetric and texture analysis of the areas of the affected lung in CT of 115 outpatients with COVID-19 infection presenting to the emergency room with dyspnea and unresponsive hypoxyemia. Admission blood laboratory including lymphocyte count, serum lactate dehydrogenase, D-dimer and C-reactive protein and the ratio between the arterial partial pressure of oxygen and inspired oxygen were collected. By calculating the areas under the receiver-operating characteristic curves (AUC), we compared the performance of blood laboratory-arterial gas analyses features alone and combined with the CT features in two hybrid models (Hybrid radiological and Hybrid radiomics)for predicting ICU admission. Following a machine learning approach, 63 patients were allocated to the training and 52 to the validation set. Twenty-nine (25%) of patients were admitted to ICU. The Hybrid radiological model comprising the lung %consolidation performed significantly (p = 0.04) better in predicting ICU admission in the validation (AUC = 0.82; 95% confidence interval 0.73-0.97) set than the blood laboratory-arterial gas analyses features alone (AUC = 0.71; 95% confidence interval 0.56-0.86). A risk calculator for ICU admission was derived and is available at: https://github.com/cgplab/covidapp . The volume of the consolidated lung in CT of patients with COVID-19 pneumonia has a mild but significant incremental value in predicting ICU admission.


Subject(s)
COVID-19 , Intensive Care Units , Models, Biological , Pandemics , Patient Admission , SARS-CoV-2/metabolism , Tomography, X-Ray Computed , COVID-19/blood , COVID-19/diagnostic imaging , COVID-19/epidemiology , COVID-19/therapy , Female , Humans , Male , Middle Aged , Oxygen/blood , Predictive Value of Tests
6.
Acta Biomed ; 91(4): e2020193, 2020 11 17.
Article in English | MEDLINE | ID: covidwho-1058720

ABSTRACT

Reorganization of healthcare resources due to COVID-19 pandemic has led to an unintentional neglect of essential care, especially for paediatric emergencies. This phenomenon has been observed also for type 1 diabetes patients at onset, and surveys from different countries have shown an increased number of diabetic ketoacidosis during lock-down period. We report the case of two patients admitted late at our emergency care service for type-1 diabetes at onset with ketoacidosis, for reasons related to COVID-19 pandemic outbreak. Case report 1: A 5 years old boy, presented with a severe diabetic ketoacidosis, requiring admission in Intensive Care Unit, prolonged intravenous insulin infusion and enteral nutrion via nasogastric tube. Case report 2:  A 10 years old girl presented in the emergency department with a history respiratory distress, due to Kussmaul's breathing, and severe dehydration. Laboratory findings were consistent with a diagnosis of moderate diabetic ketoacidosis. We have further analyzed the experience of our Centre regarding new onset type 1 diabetes patients during lock-down period: we observed a reduction of admissions for type 1 diabetes onset during lock-down period compared to same period of 2019, with a higher prevalence of moderate and severe diabetic ketoacidosis. We conclude highlighting the upcoming necessity, due to the emerging of a 'second wave' of the pandemic, that public opinion and healthcare practitioners provide correct information regarding access to paediatric services, in particular for children with newly onset symptoms, in order to avoid late access to emergency department in critical situations and to prevent avoidable morbidity and mortality.


Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , Communicable Disease Control , Diabetes Mellitus, Type 1/complications , Diabetes Mellitus, Type 1/therapy , Diabetic Ketoacidosis/therapy , COVID-19/transmission , Child , Child, Preschool , Diabetes Mellitus, Type 1/diagnosis , Diabetic Ketoacidosis/diagnosis , Diabetic Ketoacidosis/etiology , Female , Humans , Male
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