Pediatric Patients with COVID-19: A Retrospective Single-Center Experience.

Objectives: The pandemic of coronavirus disease 2019 (COVID-19) is still effective all over the world. Compared to adults, data on pediatric patients are limited. In this study, we aimed to retrospectively examine the demographic, clinical, and laboratory characteristics of pediatric patients who were followed up with the diagnosis of COVID-19 in the first 3 months of the pandemic in our hospital. Methods: A total of 190 patients, aged 1 month-18 years, who were followed up with a definite/probable diagnosis of COVID-19, who were treated in the Pediatric Infection Clinic, were included in the study. The demographic features, clinical characteristics, and laboratory findings of the patients were retrospectively analyzed from their electronic medical records. Results: Eighty (42.1%) of the patients were laboratory confirmed (Polymerase chain reaction positive in nasopharyngeal swab). Mean age was 72 (2-216 months) and 102 (53.7%) patients were female. Family contact history was present in 115 (60.5%) patients. The patients were classified as asymptomatic (5.8%), mild (73.2%), moderate (18.4%), and severe/critical (2.6%) according to the severity of the disease. The most common symptoms were cough (71.1%) and fever (51.1%). Hydroxychloroquine alone or in combination was the most commonly used agent. Conclusion: In our study, in which we examined the pediatric COVID-19 patients, most of the patients had a mild clinical course, but there were applications with different clinical pictures such as acute appendicitis. Therefore, COVID-19 infection, which is still very unknown, will continue to surprise us with both changing treatment protocols and clinical presentations such as multisystem inflammatory syndrome in children.

Could we predict the prognosis of the COVID-19 disease?

OBJECTIVES: Coronavirus 2019 disease (COVID-19) lead to one of the pandemics of the last century. We aimed to predict poor prognosis among severe patients to lead early intervention. METHODS: The data of 534 hospitalized patients were assessed retrospectively. Risk factors and laboratory tests that might enable the prediction of prognosis defined as being transferred to the intensive care unit and/or exitus have been investigated. RESULTS: At the admission, 398 of 534 patients (74.5%) were mild-moderate ill. It was determined that the male gender, advanced age, and comorbidity were risk factors for severity. To estimate the severity of the disease, receiver operating characteristic analysis revealed that the areas under the curve which were determined based on the optimal cut off values that were calculated for the variables of values of neutrophil to lymphocyte ratio (NLR > 3.69), C-reactive protein (CRP > 46 mg/L), troponin I ( > 5.3 ng/L), lactate dehydrogenase (LDH > 325 U/L), ferritin ( > 303 ug/L), d-dimer ( > 574 µg/L), neutrophil NE ( > 4.99 × 109 /L), lymphocyte (LE < 1.04 × 109 /L), SO2 ( < %92) were 0.762, 0.757,0.742, 0.705, 0.698, 0.694,0.688, 0.678, and 0.66, respectively. To predict mortality, AUC of values for optimal cutoff troponin I ( > 7.4 ng/L), age ( > 62), SO2 ( < %89), urea ( > 40 mg/dL), procalcitonin ( > 0.21 ug/L), CKMB ( > 2.6 ng/L) were 0.715, 0.685, 0.644, 0.632, 0.627, and 0.617, respectively. CONCLUSIONS: The clinical progress could be severe if the baseline values of NLR, CRP, troponin I, LDH, are above, and LE is below the specified cut-off point. We found that the troponin I, elder age, and SO2 values could predict mortality.