Peripheral facial nerve palsy in children during the COVID-19 pandemic

OBJECTIVES

During the COVID-19 pandemic, an increased frequency of peripheral facial nerve palsy has been described in adults and children. The etiology of the disease during this time remains unclear, since most cases occurred in patients who tested negative for SARS-CoV-2 infection.

PATIENTS AND METHODS

Retrospective study of pediatric cases of facial nerve palsy treated during the first year of the pandemic in the emergency department of a children´s hospital located in one of the areas with the highest prevalence of COVID-19 in Spain. Data from this period are compared with cases from the previous three years.

RESULTS

Twenty-nine patients with Bell's palsy were included. Over the previous three years combined, 24 patients presented with the same condition, a more than threefold increase. No clinical differences were found between the groups apart from the fact that fewer patients received corticosteroids during the pandemic (13.8% vs 41.6%; p = 0.022). Fourteen children underwent microbiologic testing for active SARS-CoV-2 infection (12 polymerase chain reaction, two rapid antigen test); all were negative. Thirteen patients received serologic testing, two with a positive IgG (15.3%).

CONCLUSION

A substantial increase in hospital presentations for facial nerve palsy was observed among children and adolescents during the first year of the pandemic, though findings of microbiologic testing cannot confirm a direct link with SARS-CoV-2 infection in most cases. Patient characteristics did not change between the two time periods. Difficulty accessing primary-care facilities during the pandemic in Spain may have played a role in this increase.

A Bayesian Model to Predict COVID-19 Severity in Children

BACKGROUND

We aimed to identify risk factors causing critical disease in hospitalized children with COVID-19 and to build a predictive model to anticipate the probability of need for critical care.

METHODS

We conducted a multicenter, prospective study of children with SARS-CoV-2 infection in 52 Spanish hospitals. The primary outcome was the need for critical care. We used a multivariable Bayesian model to estimate the probability of needing critical care.

RESULTS

The study enrolled 350 children from March 12, 2020, to July 1, 2020: 292 (83.4%) and 214 (73.7%) were considered to have relevant COVID-19, of whom 24.2% required critical care. Four major clinical syndromes of decreasing severity were identified: multi-inflammatory syndrome (MIS-C) (17.3%), bronchopulmonary (51.4%), gastrointestinal (11.6%), and mild syndrome (19.6%). Main risk factors were high C-reactive protein and creatinine concentration, lymphopenia, low platelets, anemia, tachycardia, age, neutrophilia, leukocytosis, and low oxygen saturation. These risk factors increased the risk of critical disease depending on the syndrome: the more severe the syndrome, the more risk the factors conferred. Based on our findings, we developed an online risk prediction tool (https://rserver.h12o.es/pediatria/EPICOAPP/, username: user, password: 0000).

CONCLUSIONS

Risk factors for severe COVID-19 include inflammation, cytopenia, age, comorbidities, and organ dysfunction. The more severe the syndrome, the more the risk factor increases the risk of critical illness. Risk of severe disease can be predicted with a Bayesian model.