Perioperative Glial Fibrillary Acidic Protein Is Associated with Long-Term Neurodevelopment Outcome of Infants with Congenital Heart Disease.

BACKGROUND: Brain injury, impaired brain maturation, and long-term neurodevelopmental disorders are common in infants with congenital heart diseases (CHD). We aimed to assess whether plasma glial fibrillary acidic protein (GFAP) can predict neurodevelopmental anomalies in CHD infants operated on cardiopulmonary bypass (CPB). METHODS: We measured plasma GFAP in 38 infants at multiple CPB phases. Cognitive, neuropsychological, and psychopathological functioning were assessed 5.7 ± 2.2 years after surgery. We identified an impaired global neurodevelopmental index (NDI) when at least two domains were abnormal. The relationships between NDI, GFAP, and clinical variables were explored with non-supervised feature selection methods and modeled with a nested non-linear logistic regression. RESULTS: Intelligence quotient scores were within the normal range in 84% of children, whereas 58% showed an abnormal NDI, with the greatest impairments in the psychopathological area. The plasma GFAP peak was 0.95 (0.44-1.57) ng/mL, and it was correlated with age, weight, duration of surgery phases, and CPB minimum temperature. In the regression model, the GFAP peak was associated with an impaired NDI with a possible flexible point toward NDI impairment at 0.49 ng/mL, keeping constant ICU stay, CPB duration, CHD anatomy, weight, and CPB minimum temperature. CONCLUSION: GFAP is a promising early marker of abnormal long-term neuropsychological development.

The impact of COVID-19 on a tertiary care pediatric emergency department.

The restrictive measures required to face the recent outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may impact patterns of healthcare utilization. Our aim was to provide an insight into the change in the use of a pediatric emergency department (ED) during the SARS-CoV-2 pandemic. The medical records of the children seen in our pediatric ED during March and April 2020 were retrospectively reviewed. Consequently, these were compared to the medical records of 2018 and 2019 from the same time period and from other control periods (January-February 2019 and 2020, and July-August 2018 and 2019). The total number of ED visits declined by 73% from 2019 to 2020 (3051 vs 818). Significant variations were observed in the distribution of children between triage categories: the proportion of patients who was given a green-code showed a 0.59-fold decrease in comparison to 2019 (95% CI 0.5-0.69), while a relative increase in the proportion of yellow codes was observed (OR 1.46, 95% CI 1.2-1.78).Conclusion: Quarantine measures significantly impacted on the total number of patients and on the reasons for visiting them in our pediatric ED. This substantial decrease in pediatric care may either be due to lower rates of acute infections because of social distancing, or to parents' or caregivers' reticence to risk exposure to SARS-CoV-2 in a health-care setting. What is known: • A recent outbreak of a novel coronavirus responsible for a severe acute respiratory syndrome is spreading globally. • Restrictive measures may impact patterns of healthcare utilization, as observed in other previous outbreaks. What is new: • This study shows significant variations in the distribution of children among triage categories during the COVID-19 pandemic. • Discharge diagnosis was significantly different as well, in particular a relative increase in the proportion of children presenting with traumatic injuries and a decrease of viral infections were observed.

Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach.

We aimed to delineate the neuropsychological and psychopathological profiles of children with congenital heart disease (CHD) and look for associations with clinical parameters. We conducted a prospective observational study in children with CHD who underwent cardiac surgery within five years of age. At least 18 months after cardiac surgery, we performed an extensive neuropsychological (intelligence, language, attention, executive function, memory, social skills) and psychopathological assessment, implementing a machine-learning approach for clustering and influencing variable classification. We examined 74 children (37 with CHD and 37 age-matched controls). Group comparisons have shown differences in many domains: intelligence, language, executive skills, and memory. From CHD questionnaires, we identified two clinical subtypes of psychopathological profiles: a small subgroup with high symptoms of psychopathology and a wider subgroup of patients with ADHD-like profiles. No associations with the considered clinical parameters were found. CHD patients are prone to high interindividual variability in neuropsychological and psychological outcomes, depending on many factors that are difficult to control and study. Unfortunately, these dysfunctions are under-recognized by clinicians. Given that brain maturation continues through childhood, providing a significant window for recovery, there is a need for a lifespan approach to optimize the outcome trajectory for patients with CHD.

Neuropsychological Impairment in Children With Class 1 Congenital Heart Disease.

Children with congenital heart disease (CHD) are at increased risk of neuropsychological impairments, but few studies are available on the nonlinguistic neuropsychological abilities of children with CHD. We conducted neuropsychological evaluations using the NEPSY II on a cohort of 17 school-age Italian children with diagnoses of Class 1 CHD, no genetic or chromosomal abnormalities, and normal intelligence scores, and we compared them with 34 matched controls. Children with CHD in this study had undergone at least one cardiac surgery with cardiopulmonary bypass support. We found that children with CHD scored significantly lower than their matched controls on memory and learning domain tasks, and they displayed subtle attention/executive dysfunctions and deficits in sensorimotor skills.

Neonatal Lung Sonography: Interobserver Agreement Between Physician Interpreters With Varying Levels of Experience.

OBJECTIVES: To assess the reliability of lung sonography in neonates between physician interpreters with different degrees of experience. METHODS: We retrospectively reviewed lung sonograms from neonates admitted to a neonatal intensive care unit with respiratory distress in the first 24 hours of life. The first scans were selected; only patients with available video clips documenting both hemithoraxes were included. The clips were independently examined by 4 different experienced observers blinded to clinical data. The interpreting physicians made a codified sonographic diagnosis, and the Cohen κ coefficient was used to measure the reliability between a proven experienced main interpreter and expert (κ1), intermediate (κ2), and beginner (κ3) control interpreters. We also calculated the specific agreement on respiratory distress syndrome and transient tachypnea of the neonate. RESULTS: Four hundred sixty-five clips were taken from 114 neonates examined over a 16-month period. The patients' median gestational age (range) was 34 weeks (25-41 weeks), and the median birth weight (range) was 2085 g (608-4134 g). Eighty-eight percent of examinations were performed within 24 hours after birth. The overall κ coefficients (95% confidence intervals) were κ1 = 0.94 (0.88-1.00); κ2 = 0.72 (0.61-0.83); and κ3 = 0.81 (0.71-0.90). For respiratory distress syndrome, κ1 = 0.94 (0.87-1.00); κ2 = 0.90 (0.81-0.99); and κ3 = 0.87 (0.78-0.97). For transient tachypnea of the neonate, κ1 = 0.95 (0.89-1.00); κ2 = 0.76 (0.64-0.88); and κ3 = 0.81 (0.70-0.91). CONCLUSIONS: In neonates with early respiratory distress, lung sonography has high interobserver agreement even between interpreters with varying levels of experience.

Lung ultrasound accuracy in respiratory distress syndrome and transient tachypnea of the newborn.

BACKGROUND: Lung ultrasound (LUS) is a promising technique for the diagnosis of neonatal respiratory diseases. Preliminary data has shown a good sensitivity and specificity of LUS in the diagnosis of respiratory distress syndrome (RDS) and transient tachypnea of the newborn (TTN). OBJECTIVE: The aim of this study was to calculate the sensitivity, specificity, and negative (NPV) and positive predictive value (PPV) of LUS for RDS and TTN, using an external reader blinded to the clinical condition. DESIGN AND METHODS: Neonates with respiratory distress had a LUS within 1 h of admission. Images were uploaded and sent to the external reader, who made the ultrasound diagnosis according to the appearance of the images. The final clinical diagnosis was made according to all the available data, except LUS data. Sensitivity, specificity, PPV, and NPV were calculated considering the final clinical diagnosis as the gold standard. RESULTS: Fifty-nine neonates were studied (mean gestational age: 33 ± 4 weeks, mean birth weight: 2,145 ± 757 g). Twenty-three infants had a final diagnosis of RDS and 30 of TTN. LUS showed a sensitivity of 95.6% and specificity of 94.4%, with a PPV of 91.6% and a NPV of 97.1% for RDS, and a sensitivity of 93.3% and specificity of 96.5% with a PPV of 96.5% and a NPV of 93.4% for TTN. CONCLUSIONS: LUS showed high sensitivity and specificity in diagnosing RDS and TTN.