Characteristics of pediatric patients with multiple sclerosis and related disorders infected with SARS-CoV-2.

BACKGROUND: Pediatric patients with multiple sclerosis (POMS) and related disorders, clinically isolated syndrome (CIS), myelin oligodendrocyte glycoprotein antibody disorder (MOGAD), and neuromyelitis optica spectrum disorder (NMOSD), are commonly treated with immunosuppressants. Understanding the impact of SARS-CoV-2 infection in patients may inform treatment decisions. OBJECTIVE: Characterize SARS-CoV-2 infection prevalence and severity among a cohort of patients with POMS and related disorders, as well as the impact of disease-modifying therapies (DMTs). METHODS: POMS and related disorders patients enrolled in a large, prospective registry were screened for COVID-19 during standard-of-care neurology visits. If confirmed positive of having infection, further analysis was undertaken. RESULTS: Six hundred and sixty-nine patients were surveyed between March 2020 and August 2021. There were 73 confirmed COVID-19 infections. Eight of nine hospitalized patients (89%), and all patients admitted to the ICU were treated with B cell depleting therapy. The unadjusted odds ratio of hospitalization among those who tested positive of having had COVID-19 was 15.27 among those on B-cell-depleting therapy (p = 0.016). CONCLUSIONS: B-cell-depleting treatment was associated with a higher risk of COVID-19, higher rates of hospitalization, and ICU admission, suggesting this therapy carries a higher risk of severe infection in POMS and related disorders.

Feasibility of Radiomics to Differentiate Coronavirus Disease 2019 (COVID-19) from H1N1 Influenza Pneumonia on Chest Computed Tomography: A Proof of Concept.

BACKGROUND: Chest computed tomography (CT) plays an essential role in diagnosing coronavirus disease 2019 (COVID-19). However, CT findings are often nonspecific among different viral pneumonia conditions. The differentiation between COVID-19 and influenza can be challenging when seasonal influenza concurs with the COVID-19 pandemic. This study was conducted to test the ability of radiomics-artificial intelligence (AI) to perform this task. METHODS: In this retrospective study, chest CT images from 47 patients with COVID-19 (after February 2020) and 19 patients with H1N1 influenza (before September 2019) pneumonia were collected from three hospitals affiliated with Arak University of Medical Sciences, Arak, Iran. All pulmonary lesions were segmented on CT images. Multiple radiomics features were extracted from the lesions and used to develop support-vector machine (SVM), k-nearest neighbor (k-NN), decision tree, neural network, adaptive boosting (AdaBoost), and random forest. RESULTS: The patients with COVID-19 and H1N1 influenza were not significantly different in age and sex (P=0.13 and 0.99, respectively). Nonetheless, the average time between initial symptoms/hospitalization and chest CT was shorter in the patients with COVID-19 (P=0.001 and 0.01, respectively). After the implementation of the inclusion and exclusion criteria, 453 pulmonary lesions were included in this study. On the harmonized features, random forest yielded the highest performance (area under the curve=0.97, sensitivity=89%, precision=90%, F1 score=89%, and classification accuracy=89%). CONCLUSION: In our preliminary study, radiomics feature extraction, conjoined with AI, especially random forest and neural network, appeared to yield very promising results in the differentiation between COVID-19 and H1N1 influenza on chest CT.

The effect of the COVID-19 pandemic on maternal health due to delay in seeking health care: Experience from a tertiary center.

OBJECTIVE: To assess the effects of the COVID-19 pandemic on obstetric care and outcomes. METHODS: A prospective observational single-center study was performed, including all antenatal and parturient women admitted from April to August, 2020. Data were collected regarding number of admissions, deliveries, antenatal visits, reason for inaccessibility of health care, and complications during pregnancy, and compared with data from the pre-COVID period of October 2019 to February 2020. RESULTS: There was a reduction of 45.1% in institutional deliveries (P < 0.001), a percentage point increase of 7.2 in high-risk pregnancy, and 2.5-fold rise in admission to the intensive care unit of pregnant women during the pandemic. One-third of women had inadequate antenatal visits. The main reason for delayed health-seeking was lockdown and fear of contracting infection, resulting in 44.7% of pregnancies with complications. Thirty-two symptomatic women who tested positive for COVID-19 were managed at the center with good maternal and fetal outcomes. CONCLUSION: Although COVID-19 does not directly affect pregnancy outcomes, it has indirect adverse effects on maternal and child health. Emergency obstetric and antenatal care are essential services to be continued with awareness of people while maintaining social distancing and personal hygiene.

Review of care and management of pregnant women during COVID-19 pandemic.

Coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Covid-19 pandemic began in the end of 2019 and spread all over the world in a short duration of time. Measures have been taken such as social distancing, compulsory lockdown and restriction of activities so as to prevent spread of virus. It has posed problem to both the antenatal women and maternity care workers. The care and management of pregnant women is an essential service to identify high-risk mothers and also to have good pregnancy outcome for both mother and baby. Any delay in this may lead to catastrophe, hence this issue needs to be addressed properly. This review briefs about the literature available on antenatal care during covid-19 pandemic. Pregnancy is not very adversely affected by the virus itself but extra caution should be taken to prevent and complications should they arise. The norms of social distancing by patients and wearing personal protective equipment by hospital staff, testing of pregnant women should be followed as per regional and national guidelines. This will help ensure safety of all people along with care to the expecting mother. The presence of covid-19 infection should not deter women from receiving antenatal care nor should the obstetric treatment be delayed during labor. Decision for timing and mode of delivery should be individualised based on obstetric indications and maternal-fetal status.

Viricidal treatments for prevention of coronavirus infection.

Coronavirus disease 2019 (COVID-19), which causes severe acute respiratory syndrome and lung failure, is caused by the novel coronavirus, also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to high transmission rates from individual to individual, it has progressed to a pandemic. However, indirect transmission from inanimate objects or surfaces that have come in contact with a patient poses an even more significant threat as it is difficult to trace the source of infection in these cases. Therefore, these surfaces and objects require disinfection with chemicals having potent viricidal activity. These include alcohols, aldehydes, quaternary ammonium compounds, chlorhexidine, and chlorine-based disinfectants, among others. They vary in their viricidal activity depending on their structure, concentrations, and mechanism of action. Several studies have looked into these agents and the transmission of the virus related to it. Moreover, certain viricides, if used as constituents of commercially available oral disinfectants, can further aid in preventing ventilator-associated pneumonia and maintain oral hygiene. However, these chemicals are not entirely free of potential hazards. In this review, we have compiled and critically appraised some commonly used viricidal agents in healthcare settings and the role they can play in the prevention of SARS-CoV-2 transmission.