IMPORTANCE: Refinement of criteria for multisystem inflammatory syndrome in children (MIS-C) may inform efforts to improve health outcomes. OBJECTIVE: To compare clinical characteristics and outcomes ...of children and adolescents with MIS-C vs those with severe coronavirus disease 2019 (COVID-19). SETTING, DESIGN, AND PARTICIPANTS: Case series of 1116 patients aged younger than 21 years hospitalized between March 15 and October 31, 2020, at 66 US hospitals in 31 states. Final date of follow-up was January 5, 2021. Patients with MIS-C had fever, inflammation, multisystem involvement, and positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcriptase–polymerase chain reaction (RT-PCR) or antibody test results or recent exposure with no alternate diagnosis. Patients with COVID-19 had positive RT-PCR test results and severe organ system involvement. EXPOSURE: SARS-CoV-2. MAIN OUTCOMES AND MEASURES: Presenting symptoms, organ system complications, laboratory biomarkers, interventions, and clinical outcomes. Multivariable regression was used to compute adjusted risk ratios (aRRs) of factors associated with MIS-C vs COVID-19. RESULTS: Of 1116 patients (median age, 9.7 years; 45% female), 539 (48%) were diagnosed with MIS-C and 577 (52%) with COVID-19. Compared with patients with COVID-19, patients with MIS-C were more likely to be 6 to 12 years old (40.8% vs 19.4%; absolute risk difference RD, 21.4% 95% CI, 16.1%-26.7%; aRR, 1.51 95% CI, 1.33-1.72 vs 0-5 years) and non-Hispanic Black (32.3% vs 21.5%; RD, 10.8% 95% CI, 5.6%-16.0%; aRR, 1.43 95% CI, 1.17-1.76 vs White). Compared with patients with COVID-19, patients with MIS-C were more likely to have cardiorespiratory involvement (56.0% vs 8.8%; RD, 47.2% 95% CI, 42.4%-52.0%; aRR, 2.99 95% CI, 2.55-3.50 vs respiratory involvement), cardiovascular without respiratory involvement (10.6% vs 2.9%; RD, 7.7% 95% CI, 4.7%-10.6%; aRR, 2.49 95% CI, 2.05-3.02 vs respiratory involvement), and mucocutaneous without cardiorespiratory involvement (7.1% vs 2.3%; RD, 4.8% 95% CI, 2.3%-7.3%; aRR, 2.29 95% CI, 1.84-2.85 vs respiratory involvement). Patients with MIS-C had higher neutrophil to lymphocyte ratio (median, 6.4 vs 2.7, P < .001), higher C-reactive protein level (median, 152 mg/L vs 33 mg/L; P < .001), and lower platelet count (<150 ×103 cells/μL 212/523 {41%} vs 84/486 {17%}, P < .001). A total of 398 patients (73.8%) with MIS-C and 253 (43.8%) with COVID-19 were admitted to the intensive care unit, and 10 (1.9%) with MIS-C and 8 (1.4%) with COVID-19 died during hospitalization. Among patients with MIS-C with reduced left ventricular systolic function (172/503, 34.2%) and coronary artery aneurysm (57/424, 13.4%), an estimated 91.0% (95% CI, 86.0%-94.7%) and 79.1% (95% CI, 67.1%-89.1%), respectively, normalized within 30 days. CONCLUSIONS AND RELEVANCE: This case series of patients with MIS-C and with COVID-19 identified patterns of clinical presentation and organ system involvement. These patterns may help differentiate between MIS-C and COVID-19.
An analysis of surveillance data on inpatients younger than 21 years of age who had multisystem inflammatory syndrome in children and were hospitalized between March 15 and October 31, 2020, showed ...that initial treatment with IVIG plus glucocorticoids was associated with a lower risk of cardiovascular dysfunction and a lower incidence of adjunctive therapy use than IVIG alone.
In this study, maternal vaccination with an mRNA vaccine during pregnancy was less common among infants hospitalized for Covid-19 than among controls. The effectiveness of maternal vaccination ...against Covid-19 hospitalization of infants was 52% overall and was greater when delta, rather than omicron, was predominant.
Summary
Immunologically immature neonates suffer the highest incidence of paediatric sepsis. Postnatal immunological maturation is characterized by a relatively hypo‐inflammatory immune response. The ...mechanisms that differentiate the mature and immature immune responses resemble those that differentiate the hyper‐ and hypo‐inflammatory responses in severe sepsis. Immunological maturational differences likely affect the neonate's ability to mount an appropriate hyper‐inflammatory response, a counteractive hypo‐inflammatory response, and subsequent return to immune system homeostasis. To better understand the role of the hypo‐inflammatory response in paediatric sepsis, we will explore the maturation of the immune system and the effect it may have on the sepsis‐induced hypo‐inflammatory response.
BACKGROUNDLower respiratory tract infection (LRTI) is a leading cause of death in children worldwide. LRTI diagnosis is challenging because noninfectious respiratory illnesses appear clinically ...similar and because existing microbiologic tests are often falsely negative or detect incidentally carried microbes, resulting in antimicrobial overuse and adverse outcomes. Lower airway metagenomics has the potential to detect host and microbial signatures of LRTI. Whether it can be applied at scale and in a pediatric population to enable improved diagnosis and treatment remains unclear.METHODSWe used tracheal aspirate RNA-Seq to profile host gene expression and respiratory microbiota in 261 children with acute respiratory failure. We developed a gene expression classifier for LRTI by training on patients with an established diagnosis of LRTI (n = 117) or of noninfectious respiratory failure (n = 50). We then developed a classifier that integrates the host LRTI probability, abundance of respiratory viruses, and dominance in the lung microbiome of bacteria/fungi considered pathogenic by a rules-based algorithm.RESULTSThe host classifier achieved a median AUC of 0.967 by cross-validation, driven by activation markers of T cells, alveolar macrophages, and the interferon response. The integrated classifier achieved a median AUC of 0.986 and increased the confidence of patient classifications. When applied to patients with an uncertain diagnosis (n = 94), the integrated classifier indicated LRTI in 52% of cases and nominated likely causal pathogens in 98% of those.CONCLUSIONLower airway metagenomics enables accurate LRTI diagnosis and pathogen identification in a heterogeneous cohort of critically ill children through integration of host, pathogen, and microbiome features.FUNDINGSupport for this study was provided by the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Heart, Lung, and Blood Institute (UG1HD083171, 1R01HL124103, UG1HD049983, UG01HD049934, UG1HD083170, UG1HD050096, UG1HD63108, UG1HD083116, UG1HD083166, UG1HD049981, K23HL138461, and 5R01HL155418) as well as by the Chan Zuckerberg Biohub.
A Core Outcome Set for Pediatric Critical Care Fink, Ericka L; Maddux, Aline B; Pinto, Neethi ...
Critical care medicine,
12/2020, Letnik:
48, Številka:
12
Journal Article, Conference Proceeding
Recenzirano
Odprti dostop
OBJECTIVES:More children are surviving critical illness but are at risk of residual or new health conditions. An evidence-informed and stakeholder-recommended core outcome set is lacking for ...pediatric critical care outcomes. Our objective was to create a multinational, multistakeholder-recommended pediatric critical care core outcome set for inclusion in clinical and research programs.
DESIGN:A two-round modified Delphi electronic survey was conducted with 333 invited research, clinical, and family/advocate stakeholders. Stakeholders completing the first round were invited to participate in the second. Outcomes scoring greater than 69% “critical” and less than 15% “not important” advanced to round 2 with write-in outcomes considered. The Steering Committee held a virtual consensus conference to determine the final components.
SETTING:Multinational survey.
PATIENTS:Stakeholder participants from six continents representing clinicians, researchers, and family/advocates.
MEASUREMENTS AND MAIN RESULTS:Overall response rates were 75% and 82% for each round. Participants voted on seven Global Domains and 45 Specific Outcomes in round 1, and six Global Domains and 30 Specific Outcomes in round 2. Using overall (three stakeholder groups combined) results, consensus was defined as outcomes scoring greater than 90% “critical” and less than 15% “not important” and were included in the final PICU core outcome setfour Global Domains (Cognitive, Emotional, Physical, and Overall Health) and four Specific Outcomes (Child Health-Related Quality of Life, Pain, Survival, and Communication). Families (n = 21) suggested additional critically important outcomes that did not meet consensus, which were included in the PICU core outcome set—extended.
CONCLUSIONS:The PICU core outcome set and PICU core outcome set—extended are multistakeholder-recommended resources for clinical and research programs that seek to improve outcomes for children with critical illness and their families.
OBJECTIVES:Assessing outcomes after pediatric critical illness is imperative to evaluate practice and improve recovery of patients and their families. We conducted a scoping review of the literature ...to identify domains and instruments previously used to evaluate these outcomes.
DESIGN:Scoping review.
SETTING:We queried PubMed, EMBASE, PsycINFO, Cumulative Index of Nursing and Allied Health Literature, and the Cochrane Central Register of Controlled Trials Registry for studies evaluating pediatric critical care survivors or their families published between 1970 and 2017. We identified articles using key words related to pediatric critical illness and outcome domains. We excluded articles if the majority of patients were greater than 18 years old or less than 1 month old, mortality was the sole outcome, or only instrument psychometrics or procedural outcomes were reported. We used dual review for article selection and data extraction and categorized outcomes by domain (overall health, emotional, physical, cognitive, health-related quality of life, social, family).
SUBJECTS:Manuscripts evaluating outcomes after pediatric critical illness.
INTERVENTIONS:None.
MEASUREMENTS AND MAIN RESULTS:Of 60,349 citations, 407 articles met inclusion criteria; 87% were published after 2000. Study designs included observational (85%), interventional (7%), qualitative (5%), and mixed methods (3%). Populations most frequently evaluated were traumatic brain injury (n = 96), general pediatric critical illness (n = 87), and congenital heart disease (n = 72). Family members were evaluated in 74 studies (18%). Studies used a median of 2 instruments (interquartile range 1–4 instruments) and evaluated a median of 2 domains (interquartile range 2–3 domains). Social (n = 223), cognitive (n = 183), and overall health (n = 161) domains were most frequently studied. Across studies, 366 unique instruments were used, most frequently the Wechsler and Glasgow Outcome Scales. Individual domains were evaluated using a median of 77 instruments (interquartile range 39–87 instruments).
CONCLUSIONS:A comprehensive, generalizable understanding of outcomes after pediatric critical illness is limited by heterogeneity in methodology, populations, domains, and instruments. Developing assessment standards may improve understanding of postdischarge outcomes and support development of interventions after pediatric critical illness.
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