Characteristics and management of patients with SARS-CoV2 infection admitted to pediatric intensive care units: Data analysis of the Spanish national multicenter registry.

INTRODUCTION: The purpose of this study is to describe the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) disease characteristics and management in children admitted to the pediatric intensive care units (PICU). METHODS: The present study was based on a national multicentric prospective registry including PICU patients with SARS-CoV2 infection or symptoms of multisystem inflammatory syndrome in children (MIS-C). RESULTS: A total of 298 patients were admitted to 41 different Spanish PICUs. A total of 76% of them were previously healthy. The most frequent manifestation was MIS-C (69.8%). On admission, 59.4% of patients did not have respiratory distress, and only 17.4% needed conventional mechanical ventilation (MV). The need for MV was associated with age (incidence rate ratios [IRR] 1.21, p < .012), pediatric sequential organ failure assessment score (p-SOFA) Score (IRR 1.12, p = .001), and need for transfusion (IRR 4.5, p < .004) in MIS-C patients, and with vasoactive drug use (IRR 2.73, p = .022) and the diagnosis of acute respiratory distress syndrome (IRR 2.83, p = .018) in patients admitted for other reasons. During the first day of admission, 56% of patients met shock criteria and 50.7% needed vasoactive drugs. In MIS-C patients, their use was associated with higher p-SOFA score (IRR 1.06, p < .001) and with the diagnosis of shock (IRR 5.78, p < .001). In patients without MIS-C, it was associated with higher p-SOFA score (IRR 1.05, p = .022). The mortality rate was 3%, being lower in MIS-C patients compared to patients admitted for other reasons (0.5% vs. 9.4%, p < .001). It was also lower in previously healthy patients compared to patients with previous comorbidities (0.9% vs. 9.7%, p < .001). CONCLUSIONS: Severe SARS-CoV2 infection is uncommon in the pediatric population. In our series, respiratory distress was rare, being MIS-C the most frequent cause of PICU admission related to SARS-CoV2. In most cases, the course of the disease was mild except in children with previous diseases.

Ultrasound assessment of ventilator-induced diaphragmatic dysfunction in mechanically ventilated pediatric patients.

INTRODUCTION: Ultrasonography has recently emerged as a promising technique that can rapidly estimate diaphragm function, especially during the weaning period. The aims of this study were to describe the evolution of diaphragmatic morphology and functional measurements by ultrasound in ventilated children. MATERIAL AND METHODS: This was a prospective, observational, single-center study. All the children admitted to our Pediatric Intensive Care Unit requiring mechanical ventilation for more than 48 h were included. Diaphragmatic thickness and the thickening fraction were assessed by ultrasound. RESULTS: From June to December 2018, 47 patients (median age 3 months; interquartile range, 1-17) underwent 164 ultrasonographic evaluations. The median duration of mechanical ventilation was 168 h (interquartile range, 96-196). At the initial measurement, the thickness at end-inspiration was 2.2 mm (interquartile range, 1.8-2.5) and the thickness at end-expiration was 1.8 mm (interquartile range, 1.5-2.0) with a median decrease in thickness of -14% (interquartile range, -33% to -3%) and a -2% daily atrophy rate (interquartile range, -4.2% to 0%). Diaphragmatic atrophy was observed in 30/47 cases. Children who had been exposed to neuromuscular blockade infusion (n = 31) had a significantly lower mean thickness [-22% (interquartile range, -34% to -13%) vs. -6% (interquartile range, -12% to 0%); p = 0.009] and increased daily atrophy rate [-2.2% (interquartile range, -4.6 to 0%) vs. -1.4% (interquartile range, -2.6 to 0%); p = 0.049] compared to unexposed children. The decrease in thickness was significantly less in children ventilated for at least 12 hours with pressure support before extubation compared with those with shorter periods of spontaneous respiratory effort [-9.5% (interquartile range, -21 to 0%) vs. -26% (interquartile range, -37 to -12%); p = 0.011]. CONCLUSIONS: Point-of-care diaphragmatic ultrasound can detect diaphragmatic atrophy in mechanically ventilated children. Diaphragmatic atrophy was strongly associated with the use of mechanical ventilation and neuromuscular blockade. Diaphragmatic thickness also tended to decrease less in the pre-extubation stage with pressure support. We found no correlation between progressive diaphragm thinning, extubation failure, or an increased need for non-invasive ventilation post extubation.

Severe manifestations of SARS-CoV-2 in children and adolescents: from COVID-19 pneumonia to multisystem inflammatory syndrome: a multicentre study in pediatric intensive care units in Spain.

BACKGROUND: Multisystem inflammatory syndrome temporally associated with COVID-19 (MIS-C) has been described as a novel and often severe presentation of SARS-CoV-2 infection in children. We aimed to describe the characteristics of children admitted to Pediatric Intensive Care Units (PICUs) presenting with MIS-C in comparison with those admitted with SARS-CoV-2 infection with other features such as COVID-19 pneumonia. METHODS: A multicentric prospective national registry including 47 PICUs was carried out. Data from children admitted with confirmed SARS-CoV-2 infection or fulfilling MIS-C criteria (with or without SARS-CoV-2 PCR confirmation) were collected. Clinical, laboratory and therapeutic features between MIS-C and non-MIS-C patients were compared. RESULTS: Seventy-four children were recruited. Sixty-one percent met MIS-C definition. MIS-C patients were older than non-MIS-C patients (p = 0.002): 9.4 years (IQR 5.5-11.8) vs 3.4 years (IQR 0.4-9.4). A higher proportion of them had no previous medical history of interest (88.2% vs 51.7%, p = 0.005). Non-MIS-C patients presented more frequently with respiratory distress (60.7% vs 13.3%, p < 0.001). MIS-C patients showed higher prevalence of fever (95.6% vs 64.3%, p < 0.001), diarrhea (66.7% vs 11.5%, p < 0.001), vomits (71.1% vs 23.1%, p = 0.001), fatigue (65.9% vs 36%, p = 0.016), shock (84.4% vs 13.8%, p < 0.001) and cardiac dysfunction (53.3% vs 10.3%, p = 0.001). MIS-C group had a lower lymphocyte count (p < 0.001) and LDH (p = 0.001) but higher neutrophil count (p = 0.045), neutrophil/lymphocyte ratio (p < 0.001), C-reactive protein (p < 0.001) and procalcitonin (p < 0.001). Patients in the MIS-C group were less likely to receive invasive ventilation (13.3% vs 41.4%, p = 0.005) but were more often treated with vasoactive drugs (66.7% vs 24.1%, p < 0.001), corticosteroids (80% vs 44.8%, p = 0.003) and immunoglobulins (51.1% vs 6.9%, p < 0.001). Most patients were discharged from PICU by the end of data collection with a median length of stay of 5 days (IQR 2.5-8 days) in the MIS-C group. Three patients died, none of them belonged to the MIS-C group. CONCLUSIONS: MIS-C seems to be the most frequent presentation among critically ill children with SARS-CoV-2 infection. MIS-C patients are older and usually healthy. They show a higher prevalence of gastrointestinal symptoms and shock and are more likely to receive vasoactive drugs and immunomodulators and less likely to need mechanical ventilation than non-MIS-C patients.

Does exposure of pregnant women to epidemic respiratory syncytial virus affect the severity of bronchiolitis?

INTRODUCTION: Passive transplacental immunity against respiratory syncytial virus (RSV) appears to mediate in the protection of the infant for the first 6 months of life. Lower environmental exposure in pregnant women to RSV epidemic may influence the susceptibility of these infants to infection by lowering the levels of antibodies that are transferred to the fetus. OBJECTIVES: To contrast the risk of severe disease progression in infants with acute bronchiolitis by RSV, according to the mother's level of exposure to epidemic. METHOD: Retrospective cohort study of previously healthy infants with RSV-acute bronchiolitis during 5 epidemics was made. We compared the severity of the infection in those born during the period of risk (when is less likely the mother's exposure to epidemic and the transfer of antibodies to the fetus: October 15th-December 15th in our latitude) with the rest of acute bronchiolitis. Bivariate analysis was performed regarding birth in period of risk and the rest of variables, using the Chi-square test. Multivariate logistic regression analysis was performed to study possible classical confounding factors. RESULTS: 695 infants were included in the study. 356 infants were born during the period of risk. Of the 56 patients requiring admission to PICU, 40 of them (71.4%) were born in this period (p=0.002). In the multivariate analysis, the birth in the period of risk showed a 6.5 OR (95% CI: 2.13-19.7) independently of the rest of variables. CONCLUSIONS: The worst clinical disease progression of the acute bronchiolitis by the RSV in less than 6 months age is related to lower exposure of the pregnant woman to the RSV epidemic.

[Prediction of Severe Course in Infants with RSV Bronchiolitis under 6 Months. Spain]. / Predicción de la evolución de la bronquiolitis por virus respiratorio sincitial en lactantes menores de 6 meses.

OBJECTIVE: The need for mechanical ventilation (MV) in acute bronchiolitis (AB) by respiratory syncytial virus (RSV) varies depending on the series (6-18%). Our goal is to determine the admissions to PICU for MV in patients under 6 months with AB and define the risk factors for building a prediction model. METHODS: Retrospective study of patients younger than 6 months admitted by BA-VRS between the periods April 1, 2010 and March 31, 2015 was made. The primary variable was the admission to PICU for MV. Related addition, to find risk factors in a model of binary logistic regression clinical variables were collected. A ROC curve model was developed and optimal cutoff point was identified. RESULTS: In 695 cases, the need of MV in the PICU (Y) was 56 (8.1%). Risk factors (Xi) included in the equation were: 1. male sex (OR 4.27) 2. postmenstrual age (OR: 0.76) 3. Weight income less than p3 (OR: 5.53) 4. intake lees than 50% (OR: 12.4) 5. Severity by scale (OR: 1.58) 6. apneas before admission (OR: 25.5) 7. bacterial superinfection (OR 5.03) and 8. gestational age more than 37 weeks OR (0.32). The area under the curve, sensitivity and specificity were 0.943, 0.84 and 0.93 respectively. CONCLUSIONS: The PICU admission for MV was 8.1 in every 100 healthy infants hospitalized for AB and year. The prediction model equation can help to predict patients at increased risk of severe evolution.

OBJETIVO: La necesidad de ventilación mecánica (VM) en la bronquiolitis aguda por el virus respiratorio sincitial (VRS) varía según las series entre el 6 y el 18 %. Nuestro objetivo fue conocer los ingresos en la unidad de cuidados intensivos para VM de pacientes con bronquiolitis aguda menores de 6 meses y definir los factores de riesgo con el fin de construir un modelo de predicción. METODOS: Estudio retrospectivo de pacientes menores de 6 meses ingresados por bronquiolitis aguda por VRS entre los periodos 1 de abril de 2010 y 31 de marzo de 2015. La variable principal fue el ingreso en la unidad de cuidados intensivos pediátricos para ventilación mecánica. Además, se recogieron variables clínicas relacionadas para hallar factores de riesgo en un modelo de regresión logística binaria. Con el modelo se elaboró una curva ROC y se identificó un punto óptimo de corte. RESULTADOS: De 695 casos, precisaron VM 56 (8,1%). Los factores de riesgo (Xi) incluidos en la ecuación fueron: 1. Sexo varón (OR: 4,27) 2. Edad postmenstrual (OR:0,76) 3. Peso al ingreso inferior a p3(OR: 5,53) 4. Ingesta inferior a 50% (OR:12,4), 5. Gravedad por escala (OR:1,58), 6. Apneas antes del ingreso (OR:25,5) 7. Sobreinfección bacteriana (OR: 5,03) y 8. Edad gestacional superior a 37 semanas OR (0,32). El área bajo la curva, sensibilidad y especificidad fueron 0,943; 0,84 y 0,93 respectivamente. CONCLUSIONES: Los ingresos en UCIP para VM fueron 8,1 por cada 100 lactantes sanos hospitalizados por BA y año. La ecuación elaborada del modelo de predicción puede ser de ayuda para predecir los pacientes con mayor riesgo de evolución grave.