Pediatric Respiratory Infections After the COVID-19 Pandemic: A Single-Center Experience.

Background Pediatric respiratory infections, mainly bronchiolitis, are a substantial clinical burden. The most common etiology is respiratory syncytial virus (RSV). Other viruses include human rhinovirus, human metapneumovirus, influenza, adenovirus, coronavirus, and parainfluenza viruses. Objective We aimed to study the epidemiology and clinical characteristics of children with confirmed viral bronchiolitis and flu after the COVID-19 pandemic season and compare the behavior of each virus. Methods This retrospective observation study was done over seven months, from October 2022 to April 2023. All children (0-14) were included in the study if they met the clinical diagnosis of bronchiolitis or flu. Viral etiology is confirmed by PCR, using the respiratory panel available in our center which included the detection of four viruses: COVID-19, RSV, influenza A, and B. Clinical data, lab results, and X-rays were collected and correlated with each viral infection for all admitted patients. Results We recruited 237 children with bronchiolitis and flu symptoms from October 2022 to April 2023. The peak of infections (41%) was in November. Seasonal variations for each virus showed distinct patterns across the year. RSV peaked at the beginning of the season, gradually declining after that. In contrast, influenza A and B maintained a relatively consistent presence throughout the season. Meanwhile, COVID-19 reached its peak during March and April. One hundred forty-four (60%) of the patients were under two years of age. RSV was predominant in 150 patients (63.3%). COVID-19 was only detected in 25 patients (10%), whereas influenza A and B were equally isolated in 31 (13%) patients each. Fifty-one children (21%) were initially sick and required pediatric intensive care unit (PICU) admission, with no deaths reported. Notably, COVID-19 had a milder disease course, a shorter length of stay (LOS) in the hospital (two days) and a shorter duration of illness (five days) compared to other viruses. RSV infection was linked to more profound hypoxia and more sick children with more extended hospital stays. Conclusion Our study showed that, following the pandemic and the release of lockdown measures, there was another peak of upper respiratory tract infections (URTI) and flu, which was more aggressive, primarily due to other viruses, especially RSV. This resurgence was associated with more severe respiratory symptoms and an increased need for hospitalization. Notably, children with COVID-19 were in better condition compared to those with RSV.

Unusual presentation of COVID-19 in a child complicated by massive acute pulmonary embolism and lung infarction.

The Novel Coronavirus 2019 (SARSCoV- 2), which was first reported on in Wuhan, China, in late December 2019, causes a respiratory illness called COVID- 19 Disease. COVID-19 is most likely causing a hypercoagulable state, however the prevalence of acute venothromboembolism is still unknown. Limited data suggest pulmonary microvascular thrombosis may play a role in progressive respiratory failure. Here, we report a case of a child with an unusual presentation of COVID-19 presented initially by dry cough without fever and complicated by massive acute pulmonary embolism and lung infarction and treated successfully by hydroxychloroquine and azithromycin, in addition to anticoagulant therapy.

COVID-19 in children ranging from asymptomatic to a multi-system inflammatory disease: A single-center study.

OBJECTIVES: To identify clinical and laboratory characteristics of the Saudi children with confirmed COVID-19. METHODS: Eighty-eight children (0-14 years) with COVID-19 who were admitted to Prince Sultan Military Medical City (PSMMC), Riyadh, Saudi Arabia from April to June 2020 were recruited. RESULTS: Mean age was 5.74 ± 4.7 years with 41 (49.4%) males and 42 (50.6%) females. The length of hospital stay (LOS) ranged from 1 to 17 days. The main source of infection was infected family members. Mean values of C-reactive protein (CRP), serum ferritin, and lactate dehydrogenase (LDH) were noticeably above normal. Degree of severity and length of stay was significantly correlated with lymphopenia (r= -0.36; p=0.001), whereas it was positively correlated with absolute neutrophil count and with high inflammatory markers, such as CRP, LDH, and others. CONCLUSIONS: Identifying the clinical and laboratory characteristics of the Saudi children with confirmed COVID-19 will improve understanding of this disease's presentation and will help put rapid and proper management strategies into place to face this pandemic. A high index of suspicion is needed for cases presenting with multi-system inflammatory disease, which represented 5.7% of the included study population.

Diagnostic accuracy of reticulocyte parameters on the sysmex XN 1000 for discriminating iron deficiency anaemia and thalassaemia in Saudi Arabia.

INTRODUCTION: Iron deficient erythropoiesis and Thalassaemia are both associated with microcytic erythropoiesis albeit from different pathological mechanisms. Given the high prevalence of Hemoglobinopathies in the Mediterranean region, discriminating these two conditions is important. Several algorithms using conventional red cell indices have been developed to facilitate diagnosis, however, their diagnostic accuracy is low. The new generation haematology analyzers enabled the use of more innovative parameters such as reticulocyte parameters. We aimed to evaluate the diagnostic performance of the reticulocyte parameters on the Sysmex XN 1000 to distinguish between IDA and Thalassemia in our population. METHODS: We performed a retrospective analysis of blood samples sent to our laboratory for haemoglobin electrophoresis screening. We categorized our cohort into Thalassemia and Iron Deficient patients based on known diagnostic criteria. We analyzed the reticulocyte parameters using receiver operator curve analysis (ROC) and determined the cut off value for each parameter. RESULTS: Reticulocyte parameters most accurate for discriminating IDA from Thalassemia patients was: RET, RET-HE and IRF. The RET-HE had the best statistical significance for IDA patients with AUC = 0.69 for cut off 22.25. The RET-HE for dual positive patients was more accurate with AUC = 0.78 for cut off 21.25. The IRF had the best statistical significance for Alpha Thalassemia with AUC = 0.66 for cut off value 18. CONCLUSION: An IRF cut off below 15.5 and RET-HE cut off below 22.25 was the most accurate variable in predicting IDA with a sensitivity of 59.4% and 68.3%.