Positive and negative effects of the COVID-19 pandemic on families of young children in rural Colombia and implications for child outcome research.

BACKGROUND: The COVID-19 pandemic has impacted the lives of children and families worldwide. The objective of this study is to examine exposures and impact of the COVID-19 pandemic on preschool-aged children and caregivers in the Atlántico region of Colombia. METHODS: The COVID-19 Exposure and Family Impact Scales (CEFIS) questionnaire was administered in Fall 2021 to 63 caregivers of children in Sabanalarga, Colombia enrolled in a neurodevelopment study as healthy controls. The CEFIS assesses pandemic-related exposures/events and impact; higher scores indicate greater exposure and negative impact. Descriptive and correlation analyses among exposure and impact scores were conducted. RESULTS: Caregivers reported a mean (standard deviation[SD]) of 11.1 (3.2) among 25 COVID-19-related exposures/events; most common types included stay-at-home orders, school closures, disruptions to living conditions and income loss. Total number of events was correlated with higher caregiver (P < .001) and child distress (P = .002). However, the mean (SD) impact score of 2.0 (0.6) suggests a trend toward more positive impact than negative. Caregivers reported improvements to sleep, exercise and family interactions. Some caregivers (n = 21) qualitatively reported negative effects including unemployment, fear/anxiety and inability to visit family, and positive effects such as unification, family closeness and spending more time with children. CONCLUSIONS: This study highlights the importance of comprehensively exploring positive and negative impacts of COVID-19 and families' subsequent resilience and transformation. Using tools like the CEFIS, those seeking to mitigate negative impacts can contextualize data to better understand study outcomes and tailor services, resources and policy to families' unique needs. CEFIS data likely depend on timing, economic/public health resources and cultural values; future work should prioritize understanding the generalizability of CEFIS findings across samples.

A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study.

BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a novel disease that was identified during the COVID-19 pandemic and is characterised by systemic inflammation following SARS-CoV-2 infection. Early detection of MIS-C is a challenge given its clinical similarities to Kawasaki disease and other acute febrile childhood illnesses. We aimed to develop and validate an artificial intelligence algorithm that can distinguish among MIS-C, Kawasaki disease, and other similar febrile illnesses and aid in the diagnosis of patients in the emergency department and acute care setting. METHODS: In this retrospective model development and validation study, we developed a deep-learning algorithm called KIDMATCH (Kawasaki Disease vs Multisystem Inflammatory Syndrome in Children) using patient age, the five classic clinical Kawasaki disease signs, and 17 laboratory measurements. All features were prospectively collected at the time of initial evaluation from patients diagnosed with Kawasaki disease or other febrile illness between Jan 1, 2009, and Dec 31, 2019, at Rady Children's Hospital in San Diego (CA, USA). For patients with MIS-C, the same data were collected from patients between May 7, 2020, and July 20, 2021, at Rady Children's Hospital, Connecticut Children's Medical Center in Hartford (CT, USA), and Children's Hospital Los Angeles (CA, USA). We trained a two-stage model consisting of feedforward neural networks to distinguish between patients with MIS-C and those without and then those with Kawasaki disease and other febrile illnesses. After internally validating the algorithm using stratified tenfold cross-validation, we incorporated a conformal prediction framework to tag patients with erroneous data or distribution shifts. We finally externally validated KIDMATCH on patients with MIS-C enrolled between April 22, 2020, and July 21, 2021, from Boston Children's Hospital (MA, USA), Children's National Hospital (Washington, DC, USA), and the CHARMS Study Group consortium of 14 US hospitals. FINDINGS: 1517 patients diagnosed at Rady Children's Hospital between Jan 1, 2009, and June 7, 2021, with MIS-C (n=69), Kawasaki disease (n=775), or other febrile illnesses (n=673) were identified for internal validation, with an additional 16 patients with MIS-C included from Connecticut Children's Medical Center and 50 from Children's Hospital Los Angeles between May 7, 2020, and July 20, 2021. KIDMATCH achieved a median area under the receiver operating characteristic curve during internal validation of 98·8% (IQR 98·0-99·3) in the first stage and 96·0% (95·6-97·2) in the second stage. We externally validated KIDMATCH on 175 patients with MIS-C from Boston Children's Hospital (n=50), Children's National Hospital (n=42), and the CHARMS Study Group consortium of 14 US hospitals (n=83). External validation of KIDMATCH on patients with MIS-C correctly classified 76 of 81 patients (94% accuracy, two rejected by conformal prediction) from 14 hospitals in the CHARMS Study Group consortium, 47 of 49 patients (96% accuracy, one rejected by conformal prediction) from Boston Children's Hospital, and 36 of 40 patients (90% accuracy, two rejected by conformal prediction) from Children's National Hospital. INTERPRETATION: KIDMATCH has the potential to aid front-line clinicians to distinguish between MIS-C, Kawasaki disease, and other similar febrile illnesses to allow prompt treatment and prevent severe complications. FUNDING: US Eunice Kennedy Shriver National Institute of Child Health and Human Development, US National Heart, Lung, and Blood Institute, US Patient-Centered Outcomes Research Institute, US National Library of Medicine, the McCance Foundation, and the Gordon and Marilyn Macklin Foundation.

Comparison of First and Second Wave Cohorts of Multisystem Inflammatory Disease Syndrome IN Children.

Comparing first and second wave MIS-C cohorts at our quaternary pediatric institution, second wave were older, presented more frequently with shortness of breath, higher maximum troponin and N-terminal BNP, and more frequently required advanced respiratory and inotropic support. Despite increased severity in the second cohort, both cohorts had similar rates of coronary artery abnormalities, systolic dysfunction, and length of stay.

Harnessing the power of telemedicine to accomplish international pediatric outcome research during the COVID-19 pandemic.

The COVID-19 pandemic occurred during planned neurodevelopmental follow-up of Colombian children with antenatal Zika-virus exposure. The objective of the study was to leverage the institution's telemedicine infrastructure to support international clinical child outcome research. In a prospective cohort study of child neurodevelopment (NCT04398901), we used synchronous telemedicine to remotely train a research team and perform live observational assessments of children in Sabanalarga, Colombia. An observational motor and conceptional standardized tool kit was mailed to Colombia; other materials were translated and emailed; team training was done virtually. Children were recruited by team on the ground. Synchronous activities were video-recorded directly to two laptops, each with a telehealth Zoom link to allow simultaneous evaluation of "table" and "standing" activities, and backup recordings were captured directly on the device in Colombia. The U.S. team attended live over Zoom from four states and five distinct locations, made observational notes, and provided real-time feedback. Fifty-seven, 3-4-year-old children with Zika-virus exposure and 70 non-exposed controls were studied during 10 daytrips. Direct laptop recording ensured complete record of child activities due to internet outages. Telemedicine can be used to successfully perform international neurodevelopmental outcome research in children during the COVID-19 pandemic. Telemedicine can benefit global health studies.

Multisystem Inflammatory Syndrome of Children: Subphenotypes, Risk Factors, Biomarkers, Cytokine Profiles, and Viral Sequencing.

OBJECTIVE: To assess demographic, clinical, and biomarker features distinguishing patients with multisystem inflammatory syndrome in children (MIS-C); compare MIS-C sub-phenotypes; identify cytokine biosignatures; and characterize viral genome sequences. STUDY DESIGN: We performed a prospective observational cohort study of 124 children hospitalized and treated under the institutional MIS-C Task Force protocol from March to September 2020 at Children's National, a quaternary freestanding children's hospital in Washington, DC. Of this cohort, 63 of the patients had the diagnosis of MIS-C (39 confirmed, 24 probable) and 61 were from the same cohort of admitted patients who subsequently had an alternative diagnosis (controls). RESULTS: Median age and sex were similar between MIS-C and controls. Black (46%) and Latino (35%) children were over-represented in the MIS-C cohort, with Black children at greatest risk (OR 4.62, 95% CI 1.151-14.10; P = .007). Cardiac complications were more frequent in critically ill patients with MIS-C (55% vs 28%; P = .04) including systolic myocardial dysfunction (39% vs 3%; P = .001) and valvular regurgitation (33% vs 7%; P = .01). Median cycle threshold was 31.8 (27.95-35.1 IQR) in MIS-C cases, significantly greater (indicating lower viral load) than in primary severe acute respiratory syndrome coronavirus 2 infection. Cytokines soluble interleukin 2 receptor, interleukin [IL]-10, and IL-6 were greater in patients with MIS-C compared with controls. Cytokine analysis revealed subphenotype differences between critically ill vs noncritically ill (IL-2, soluble interleukin 2 receptor, IL-10, IL-6); polymerase chain reaction positive vs negative (tumor necrosis factor-α, IL-10, IL-6); and presence vs absence of cardiac abnormalities (IL-17). Phylogenetic analysis of viral genome sequences revealed predominance of GH clade originating in Europe, with no differences comparing patients with MIS-C with patients with primary coronavirus disease 19. Treatment was well tolerated, and no children died. CONCLUSIONS: This study establishes a well-characterized large cohort of MIS-C evaluated and treated following a standardized protocol and identifies key clinical, biomarker, cytokine, viral load, and sequencing features. Long-term follow-up will provide opportunity for future insights into MIS-C and its sequelae.

Severe Coronavirus Disease-2019 in Children and Young Adults in the Washington, DC, Metropolitan Region.

Despite worldwide spread of severe acute respiratory syndrome coronavirus-2, few publications have reported the potential for severe disease in the pediatric population. We report 177 infected children and young adults, including 44 hospitalized and 9 critically ill patients, with a comparison of patient characteristics between infected hospitalized and nonhospitalized cohorts, as well as critically ill and noncritically ill cohorts. Children <1 year and adolescents and young adults >15 years of age were over-represented among hospitalized patients (P = .07). Adolescents and young adults were over-represented among the critically ill cohort (P = .02).