RESUMEN
BACKGROUND: Evaluating predictors of coronavirus disease 2019 (COVID-19) and severity among children may help clinicians manage the high rate of hospital admissions for suspected cases. OBJECTIVES: This study aimed to evaluate the demographic, clinical and laboratory characteristics of children during the pandemic, and determine the predictors of COVID-19 and moderate-to-severe disease. MATERIAL AND METHODS: This retrospective cohort study included all consecutive COVID-19 cases in patients aged <18 years who presented to the Pediatric Emergency Department at Haseki Training and Research Hospital (Istanbul, Turkey) between March 15 and May 1, 2020, and underwent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) analysis of oro-nasopharyngeal swabs (n = 1137). RESULTS: The frequency of SARS-CoV-2 PCR positivity was 28.6%. The COVID-19 (+) group presented with sore throat, headache and myalgia significantly more frequently than the COVID-19 (-) group. Multivariate logistic regression models showed independent predictors of SARS-CoV-2 positivity as follows: age, contact history, lymphocyte count <1500/mm3, and neutrophil count <4000/mm3. In addition, higher age, neutrophil count and fibrinogen levels were independent predictors of severity. The diagnostic cutoff value for fibrinogen (370.5 mg/dL) had a sensitivity of 53.12, specificity of 83.95, positive predictive value (PPV) of 39.53, and negative predictive value (NPV) of 90.07 for predicting severity. CONCLUSIONS: Symptomatology, whether alone or in combination with other approaches, may be an appropriate strategy to guide the diagnosis and management of COVID-19.
