Clinical Features and Risk Factors Associated With Multisystem Inflammatory Syndrome in Children With Cancer and COVID-19.

Importance: Little is known about the risk of post-COVID-19 multisystem inflammatory syndrome in children (MIS-C) in the setting of childhood cancer. Objective: To evaluate factors associated with MIS-C and describe the clinical course of COVID-19 in the setting of MIS-C. Design, Setting, and Participants: Multisite observational cohort study of a registry representing more than 100 US pediatric oncology sites. All included patients were registered between April 1, 2020, and May 18, 2022. Sites submitted deidentified data surrounding sociodemographics, cancer diagnosis and treatment, and COVID-19 course (symptoms, maximum support required, outcome). Patients with MIS-C (n = 24) were compared with matched controls (n = 96). Children (<21 years) with cancer who developed COVID-19 while receiving cancer treatment or within 1 year of completing treatment were characterized based on their development of MIS-C. Exposures: (1) Clinical and sociodemographic characteristics of children with cancer and COVID-19; and (2) MIS-C. Main Outcomes and Measures: (1) Development of MIS-C among children with cancer and COVID-19; and (2) symptoms and disease severity associated with MIS-C. Results: Among 2035 children with cancer and COVID-19, 24 (1.2%) developed MIS-C. COVID-19 occurred at a median (IQR) age of 12.5 (5.5-17.1) years in those with MIS-C and 11 (6-16) years among matched controls (P = .86). The majority of children with MIS-C had a hematologic cancer (83.3% [n = 20]), were publicly insured (66.7% [n = 16]), and were Hispanic (54.2% [n = 13]). Half (n = 12) had 1 or more noncancer comorbidity. Those with comorbidities were more likely to develop MIS-C than those without (odds ratio [OR], 2.5 [95% CI, 1.1-5.7]). Among children with MIS-C, 100% (n = 24) were admitted to the hospital and 54.2% (n = 13) to the intensive care unit (ICU), while COVID-19 contributed to the death of 20.1% (n = 5); cancer therapy was changed in 62.5% (n = 15). Compared with matched controls, those with MIS-C had higher odds of symptoms classified as systemic (OR, 4.7 [95% CI, 1.4-15.8]) or gastrointestinal (OR, 5.0 [95% CI, 1.7-14.6]) along with higher odds of hospitalization (OR, 42.9 [95% CI, 7.1-258]), ICU admission (OR, 11.4 [95% CI, 3.6-36.4]), and changes to cancer therapy (OR, 24.9 [95% CI, 6.5-94.8]). Conclusions and Relevance: In this cohort study among children with cancer and COVID-19, those with MIS-C had a more severe clinical course than those without MIS-C. The risk of MIS-C and its severity are important to consider as clinicians monitor patients with COVID-19. These findings can inform their conversations with families regarding COVID-19 risks and the benefits of prevention strategies that are pharmacologic (vaccination) and nonpharmacologic (masking), as well as treatment (antivirals, monoclonal antibodies).

SARS-CoV-2 in Childhood Cancer in 2020: A Disease of Disparities.

PURPOSE: The Pediatric Oncology COVID-19 Case Report registry supplies pediatric oncologists with data surrounding the clinical course and outcomes in children with cancer and SARS-CoV-2. METHODS: This observational study captured clinical and sociodemographic characteristics for children (≤ 21 years) receiving cancer therapy and infected with SARS-CoV-2 from the pandemic onset through February 19, 2021. The demographic and clinical characteristics of the cohort were compared with population-level pediatric oncology data (SEER). Multivariable binomial regression models evaluated patient characteristics associated with hospitalization, intensive care unit (ICU) admission, and changes in cancer therapy. RESULTS: Ninety-four institutions contributed details on 917 children with cancer and SARS-CoV-2. Median age at SARS-CoV-2 infection was 11 years (range, 0-21 years). Compared with SEER, there was an over-representation of Hispanics (43.6% v 29.7%, P < .01), publicly insured (59.3% v 33.5%, P < .01), and patients with hematologic malignancies (65.8% v 38.3%, P < .01) in our cohort. The majority (64.1%) were symptomatic; 31.2% were hospitalized, 10.9% required respiratory support, 9.2% were admitted to the ICU, and 1.6% died because of SARS-CoV-2. Cancer therapy was modified in 44.9%. Hispanic ethnicity was associated with changes in cancer-directed therapy (adjusted risk ratio [aRR] = 1.3; 95% CI, 1.1 to 1.6]). Presence of comorbidities was associated with hospitalization (aRR = 1.3; 95% CI, 1.1 to 1.6) and ICU admission (aRR = 2.3; 95% CI, 1.5 to 3.6). Hematologic malignancies were associated with hospitalization (aRR = 1.6; 95% CI, 1.3 to 2.1). CONCLUSION: These findings provide critical information for decision making among pediatric oncologists, including inpatient versus outpatient management, cancer therapy modifications, consideration of monoclonal antibody therapy, and counseling families on infection risks in the setting of the SARS-CoV-2 pandemic. The over-representation of Hispanic and publicly insured patients in this national cohort suggests disparities that require attention.

Transmission Dynamics of Large Coronavirus Disease Outbreak in Homeless Shelter, Chicago, Illinois, USA, 2020.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has the potential for rapid transmission in congregate settings. We describe the multidisciplinary response to an outbreak of coronavirus disease (COVID-19) in a large homeless shelter in Chicago, Illinois, USA. The response to the outbreak included 4 rounds of mass PCR testing of all staff and residents and subsequent isolation of persons who tested positive for SARS-CoV-2. We further describe the dynamics of the shelter outbreak by fitting a modified susceptible-exposed-infectious-recovered compartmental model incorporating the widespread SARS-CoV-2 testing and isolation measures implemented in this shelter. Our model demonstrates that rapid transmission of COVID-19 in the shelter occurred before the outbreak was detected; rates of transmission declined after widespread testing and isolation measures were put in place. Overall, we demonstrate the feasibility of mass PCR testing and isolation in congregate settings and suggest the necessity of prompt response to suspected COVID-19 outbreaks in homeless shelters.

Risk Factors for Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Homeless Shelters in Chicago, Illinois-March-May, 2020.

BACKGROUND: People experiencing homelessness are at increased risk of coronavirus disease 2019 (COVID-19), but little is known about specific risk factors for infection within homeless shelters. METHODS: We performed widespread severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction testing and collected risk factor information at all homeless shelters in Chicago with at least 1 reported case of COVID-19 (n = 21). Multivariable, mixed-effects log-binomial models were built to estimate adjusted prevalence ratios (aPRs) for SARS-CoV-2 infection for both individual- and facility-level risk factors. RESULTS: During March 1 to May 1, 2020, 1717 shelter residents and staff were tested for SARS-CoV-2; 472 (27%) persons tested positive. Prevalence of infection was higher for residents (431 of 1435, 30%) than for staff (41 of 282, 15%) (prevalence ratio = 2.52; 95% confidence interval [CI], 1.78-3.58). The majority of residents with SARS-CoV-2 infection (293 of 406 with available information about symptoms, 72%) reported no symptoms at the time of specimen collection or within the following 2 weeks. Among residents, sharing a room with a large number of people was associated with increased likelihood of infection (aPR for sharing with >20 people compared with single rooms = 1.76; 95% CI, 1.11-2.80), and current smoking was associated with reduced likelihood of infection (aPR = 0.71; 95% CI, 0.60-0.85). At the facility level, a higher proportion of residents leaving and returning each day was associated with increased prevalence (aPR = 1.08; 95% CI, 1.01-1.16), whereas an increase in the number of private bathrooms was associated with reduced prevalence (aPR for 1 additional private bathroom per 100 people = 0.92; 95% CI, 0.87-0.98). CONCLUSIONS: We identified a high prevalence of SARS-CoV-2 infections in homeless shelters. Reducing the number of residents sharing dormitories might reduce the likelihood of SARS-CoV-2 infection. When community transmission is high, limiting movement of persons experiencing homelessness into and out of shelters might also be beneficial.