Complications, Adverse Drug Events, High Costs, and Disparities in Multisystem Inflammatory Syndrome in Children vs COVID-19.

Importance: Multisystem inflammatory syndrome in children (MIS-C) causes severe inflammation of multiple organ systems after SARS-CoV-2 infection. During the pandemic, surveillance reporting of MIS-C was voluntary, with likely underreporting. For a rare syndrome like MIS-C, numerous data are needed to explore the disease in greater detail. Objective: To use large all-payer billing data and the new International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification (ICD-10-CM) code for MIS-C to compare outcomes across MIS-C and COVID-19 over all 4057 hospitals in 31 states. Design, Setting, and Participants: A retrospective cross-sectional study of all COVID-19 and MIS-C hospitalizations in individuals younger than 21 years from 31 states was conducted, using Agency for Healthcare Research and Quality 2021 Healthcare Cost and Utilization Project data. Analyses were conducted from February 1 to October 20, 2022. Main Outcomes and Measures: Fifty complications, adverse medication events, costs, and the Social Vulnerability Index. Results: There were 4107 individuals with MIS-C (median age, 9 [IQR, 5-13] years; 2443 [59.5%] male; 1384 [38.1%] White) and 23 686 individuals with COVID-19 without MIS-C (median age, 15 [IQR, 5-18] years; 12 878 [54.4%] female; 4605 [44.1%] White), with 1.48 (95% CI, 1.35-1.62) MIS-C hospitalizations per 100 000 children per month, ranging from 0.97 hospitalizations per 100 children for White and 1.99 hospitalizations per 100 children for Black children. Outcomes worsened as the number of organ system dysfunctions increased from 2 to 8 organs. Deaths associated with MIS-C increased from less than 1% to 5.8% (95% CI, 3.3%-8.4%) and from less than 1% to 17.2% (95% CI, 11.7%-22.7%) for COVID-19 (P = .001). Adverse medication events associated with MIS-C increased from 4.9% (95% CI, 3.8%-6.0%) to 17.8% (95% CI, 13.7%-22.0%) and from 1.2% (95% CI, 1.0%-1.3%) to 13.4% (95% CI, 8.4%-18.3%) for COVID-19. The median length of stay for MIS-C increased from 4 (IQR, 2-5) to 8 (IQR, 5-12) days and from 3 (IQR, 2-5) to 16 (IQR, 7-23) days for COVID-19. Median costs for MIS-C increased from $16 225 (IQR, $9244-$26 822) to $53 359 (IQR, $35 920-$86 882) and from $6474 (IQR, $3741-$12 103) to $98 643 (IQR, $30 675-$204 956) for COVID-19. The percentage of MIS-C cases that were in Black children doubled from 16.2% to 31.7% (P = .001) as organ dysfunction increased, remaining unchanged with COVID-19. Hospital stays for MIS-C increased by 1 day (P = .01) for Black patients compared with White patients, with Black patients moving from the bottom to top quartile of socioeconomic vulnerability, with no disparity with COVID-19. Conclusions and Relevance: In this cross-sectional study, MIS-C was more common and severe than previously reported, with more racial disparities in outcomes than were seen in patients with COVID-19. The findings of this study suggest that relying on mean outcomes for MIS-C from past studies can be misleading, since outcomes and disparities varied widely with the number of multiorgan dysfunctions.

Understanding COVID-19-associated coagulopathy.

COVID-19-associated coagulopathy (CAC) is a life-threatening complication of SARS-CoV-2 infection. However, the underlying cellular and molecular mechanisms driving this condition are unclear. Evidence supports the concept that CAC involves complex interactions between the innate immune response, the coagulation and fibrinolytic pathways, and the vascular endothelium, resulting in a procoagulant condition. Understanding of the pathogenesis of this condition at the genomic, molecular and cellular levels is needed in order to mitigate thrombosis formation in at-risk patients. In this Perspective, we categorize our current understanding of CAC into three main pathological mechanisms: first, vascular endothelial cell dysfunction; second, a hyper-inflammatory immune response; and last, hypercoagulability. Furthermore, we pose key questions and identify research gaps that need to be addressed to better understand CAC, facilitate improved diagnostics and aid in therapeutic development. Finally, we consider the suitability of different animal models to study CAC.

The effect of network structure on the purchase of virtual goods on social networking services

Purpose>This paper aims to identify the effect of social structure variables on the purchase of virtual goods. Using field data, it also tests whether their effects on a social networking service are dynamic.Design/methodology/approach>To achieve the research objectives, the authors have applied the random effects panel Tobit model with actual time-series corporate data to explain a link between network structure factors and actual behavior on social networking services.Findings>The authors have found that various network structure variables such as in-degree, in-closeness centrality, out-closeness centrality and clustering coefficients are significant predictors of virtual item sales;while the constraint is marginally significant, out-degree is not significant. Furthermore, these variables are time-varying, and the dynamic model performs better in a model fit than the static one.Practical implications>The findings will help social networking service (SNS) operators realize the importance of understanding network structure variables and personal motivations or the behavior of consumers.Originality/value>This study provides implications in that it uses various and dynamic network structure variables with panel data.

In vivo imaging of invasive aspergillosis with 18F-fluorodeoxysorbitol positron emission tomography.

Invasive aspergillosis is a critical complication in immunocompromised patients with hematologic malignancies or with viral pneumonia caused by influenza virus or SARS­CoV­2. Although early and accurate diagnosis of invasive aspergillosis can maximize clinical outcomes, current diagnostic methods are time-consuming and poorly sensitive. Here, we assess the ability of 2-deoxy-2-18F-fluorosorbitol (18F-FDS) positron emission tomography (PET) to specifically and noninvasively detect Aspergillus infections. We show that 18F-FDS PET can be used to visualize Aspergillus fumigatus infection of the lungs, brain, and muscles in mouse models. In particular, 18F-FDS can distinguish pulmonary aspergillosis from Staphylococcus aureus infection, both of which induce pulmonary infiltrates in immunocompromised patients. Thus, our results indicate that the combination of 18F-FDS PET and appropriate clinical information may be useful in the differential diagnosis and localization of invasive aspergillosis.