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Background: Information on the use of antigen-based SARS-CoV-2 rapid antigen tests (RAT) in children is limited. RATs have been used more frequently, because they are easily applicable, inexpensive, and can be easily performed at home without the need for special equipment. This study was designed to assign the diagnostic test accuracy of the SARS-CoV-2 RAT in daily clinical practice in children., Methods: One thousand forty-two pediatric patients (aged 1 month - 18 years) who presented to the pediatric COVID-19 outpatient clinic of our hospital between January 2021 and June 2022 and met the inclusion criteria were included in this study. Nasopharyngeal samples were taken from the patients at the same visit, first for reverse transcription polymerase chain reaction (RT-PCR) and then for RAT., Results: The data of all patients with RT-PCR positivity (n = 314) and additionally 14 patients with RAT positivity were analyzed in depth. The overall sensitivity and specificity were 62.1% (95% CI: 56.4 - 67.4) and 98% (95% CI: 96.7 - 98.9), respectively. The positive predictive value (PPV) and the negative predictive value (NPV) in this pediatric study were 93.3% and 85.7% (95% CI: 88.7 - 96.1 and 83.1 - 87.9), respectively. Considering the Ct values, which are indirect indicators of viral load, it was observed that the sensitivity of the rapid antigen test increased at low Ct values. The sensitivity increased to 75.1% (95% CI: 67.9 - 81.1) in patients with a Ct value of < 25. The specificity was 92.7% (95% CI: 90.7 - 94.3), PPV was 67.8% (95% CI: 60.7 - 67.8) and the NPV was 94.7% (95% CI: 93.0 - 96.1) in patients with a Ct value < 25. When the patients were evaluated according to their symptomatic/asymptomatic status, the difference between the diagnostic performance of the RAT test was found to be statistically significant (p = 0.006)., Conclusions: In our study, it was found that the sensitivity of RATs in pediatric patients was lower than in adults. Our results also showed that children are not small adults, and the sensitivity of the test was higher, especially in symptomatic patients and patients with high viral load. To obtain more accurate results, we believe that performing the test in the first 3 days of symptoms will give more accurate results.

Since the COVID-19 pandemic began, various severe acute respiratory syndrome coronavirus 2 variants have been identified with different characteristics than the nonvariant strain. We retrospectively evaluated the demographic and clinical differences in the cohort of hospitalized COVID-19 children (1 month-18 years old) between March 11, 2020, and September 31, 2022, by the time the variants identified in our country predominate. Bonferroni post hoc analysis was performed to compare the differences between the periods. Of the 283 children in this study, 142 (50.2%) were females. The median age was 36 (interquartile range [IQR]: 7-132) months. Sixty-three (22.2%) patients were hospitalized in the nonvariant period, 24 (8.5%) in the Alpha period, 93 (32.9%) in the Delta period, and 103 (36.4%) in the Omicron period. Fever was the most common symptom in all groups, with no statistically significant differences (p = 0.25). In the Omicron period, respiratory and gastrointestinal symptoms decreased, and neurological symptoms increased significantly compared to other periods: [respiratory symptoms; nonvariant (65.1%) vs. Omicron (41.7%), (p = 0.024)], [gastrointestinal symptoms; Delta (41.9%) vs. Omicron (22.3%), (p = 0.018), [neurological symptoms; Delta (14.5%) vs. Omicron (31.1%), (p = 0.03]. Altered mental status and seizures were more common during the Omicron period compared to the pre-Omicron (nonvariant, Alpha, and Delta) period (p = 0.017 and p = 0.005, respectively). Although the main symptoms in children with COVID-19 were fever and respiratory symptoms, an increase in severe neurological manifestations was seen throughout the Omicron variant period., (© 2023 Wiley Periodicals LLC.)

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Understanding differences in terms of clinical phenotypes and outcomes of coronavirus disease 2019 (COVID‐19) compared with influenza is vital to optimizing the management of patients and planning healthcare. Herein, we aimed to investigate the clinical differences and outcomes in hospitalized patients with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) and influenza. We performed a retrospective study of hospitalized children who were positive for SARS‐CoV‐2 between March 2020 and March 2021 and for influenza between January 2016 and February 2020 in respiratory samples. The primary outcome of this study was pediatric intensive care unit (PICU) admission, and the secondary outcome was the need for respiratory support. A total of 74 patients with influenza and 71 who were positive for SARS‐CoV‐2 were included. The distribution among the sexes was similar, but patients with COVID‐19 were older than patients with influenza (96 vs. 12, p < 0.001). In terms of underlying chronic diseases, the frequency was 26.7% in the COVID‐19 group and 54% in the influenza group (p = 0.001). The comparison of symptoms revealed that fatigue, headache, nausea, vomiting, and abdominal pain occurred more frequently with COVID‐19 (for all p < 0.05) and runny nose with influenza (p = 0.002). The frequency of admission to the PICU was relatively higher (18.9%) in the influenza group than with COVID‐19 (2.8%) with a significant ratio (p = 0.001), secondary bacterial infections were observed more frequently in the influenza group (20.2% vs. 4.2%, p = 0.003). Some 88.7% of patients with COVID‐19 did not need respiratory support, whereas 59.4% of patients with influenza did require respiratory support (p < 0.001). This study noted that influenza caused more frequent admissions to the PICU and a greater need for respiratory support in hospitalized pediatric patients than COVID‐19. [ABSTRACT FROM AUTHOR]

In the present study, the importance of laboratory parameters and CT findings in the early diagnosis of COVID-19 was investigated. To this end, 245 patients admitted between April 1st, and May 30th, 2020 with suspected COVID-19 were enrolled. The patients were divided into three groups according to chest CT findings and RT-PCR results. The non-COVID-19 group consisted of 71 patients with negative RT-PCR results and no chest CT findings. Ninety-five patients with positive RT-PCR results and negative chest CT findings were included in the COVID-19 group; 79 patients with positive RT-PCR results and chest CT findings consistent with COVID-19 manifestations were included in COVID-19 pneumonia group. Chest CT findings were positive in 45% of all COVID-19 patients. Patients with positive chest CT findings had mild (n=30), moderate (n=21) andor severe (n=28) lung involvement. In the COVID-19 group, CRP levels and the percentage of monocytes increased significantly. As disease progressed from mild to severe, CRP, LDH and ferritin levels gradually increased. In the ROC analysis, the area under the curve corresponding to the percentage value of monocytes (AUC=0.887) had a very good accuracy in predicting COVID-19 cases. The multinomial logistic regression analysis showed that CRP, LYM and % MONO were independent factors for COVID-19. Furthermore, the chest CT evaluation is a relevant tool in patients with clinical suspicion of COVID-19 pneumonia and negative RT-PCR results. In addition to decreased lymphocyte count, the increased percentage of monocytes may also guide the diagnosis. [ABSTRACT FROM AUTHOR]

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• COVID-19 is more severe in older patients. • Hypertension is the most frequent comorbidity in severe and non-severe COVID-19 cases. • Cough is the prominent clinical symptom in severe and non-severe COVID-19 cases. • Detection of severe and critical COVID-19 cases at an earlier stage is crucial. • CAR is a useful marker in early differentiation of severity in COVID-19 patients. C-reactive protein-to-albumin ratio (CAR) has been used as an indicator of prognosis in various diseases. Here, we intended to assess the CAR's diagnostic power in early differentiation of hospitalized severe COVID-19 cases. In this retrospectively designed study, we evaluated 197 patients in total. They were divided into two groups based on their severity of COVID-19 as non-severe (n = 113) and severe (n = 84). The comparison of groups' demographic data, comorbidities, clinical symptoms, and laboratory test results were done. Laboratory data of the patients within the first 24 h after admission to the hospital were evaluated. The calculation of receiver operating characteristic (ROC) curve was used to determine the diagnostic power of CAR in differentiating severity of COVID-19. Independent risk factors predictive of COVID-19 severity were determined by using logistic regression analysis. Although lymphocyte count levels were lower, severe COVID-19 patients had higher mean age, higher levels of neutrophil count, CRP, aspartate aminotransferase (AST), ferritin, and prothrombin time (P < 0.05). Compared with non-severe patients (median, 0.23 [IQR = 0.07–1.56]), patients with severe COVID-19 had higher CAR levels (median, 1.66 [IQR = 0.50–3.35]; P < 0.001). Age (OR = 1.046, P = 0.003), CAR (OR = 1.264, P = 0.037), and AST (OR = 1.029, P = 0.037) were independent risk factors for severe COVID-19 based on the multivariate logistic regression analysis. ROC curve analysis assigned 0.9 as the cut-off value for CAR for differentiation of severe COVID-19 (area under the curve = 0.718, 69.1% sensitivity, 70.8% specificity, P < 0.001). CAR is a useful marker in early differentiation of severity in patients hospitalized due to COVID-19 that have longer hospital stay and higher mortality. [ABSTRACT FROM AUTHOR]