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1.
Clin EEG Neurosci ; 53(6): 532-542, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-1753067

ABSTRACT

Background. To assess the functional involvement of the central nervous system (CNS) via quantitative electroencephalography (EEG) analysis in children with mild to moderate COVID-19 infection who were otherwise previously healthy children. Methods. This prospective, case-control study was conducted between June and September 2020. Sleep EEG records of at least 40 min were planned for children who tested positive for COVID-19 using real-time PCR analysis and within 4-6 months post-recovery. All of the EEG analyses in this study were performed on an Ubuntu 20.04.2 LTS Operating System with the developed software using Python 3.7.6. The quantitative analysis of the epileptic discharges within the EEG records was performed using random forest after elimination of the artifacts with a model training accuracy of 98% for each sample data point. The frequency analysis was performed using the Welch method. Results. Among the age and sex-matched groups, the global mean frequency was significantly lower among the COVID-19 patients, with a P-value of 0.004. The spike slow-wave and sharp slow-wave indices were significantly higher in the patients when compared to the controls. The mean frequency values were significantly lower in almost all of the electrodes recording the frontal, central, and occipital areas. For the temporal and parietal areas, those significantly low mean frequencies were limited to the right hemisphere. Conclusion. A near-global involvement of background activity with decreased frequency, in addition to epileptic discharges, was recorded in mild to moderately COVID-19 infected children post-infection.


Subject(s)
COVID-19 , Epilepsy , Case-Control Studies , Child , Electroencephalography/methods , Epilepsy/diagnosis , Humans , Prospective Studies
2.
Allergy Asthma Proc ; 42(6): 522-529, 2021 Nov 01.
Article in English | MEDLINE | ID: covidwho-1533596

ABSTRACT

Background: There are conflicting data with regard to the impact of respiratory and allergic comorbidities on the course of novel coronavirus disease 2019 (COVID-19) in children. Objective: This study aimed to investigate the relationship between allergic diseases and COVID-19 severity in pediatric patients. Methods: Seventy-five pediatric patients with COVID-19 were classified according to clinical severity and evaluated in the allergy/immunology and pulmonology departments 1 to 3 months after the infection resolved. Blood was collected from the patients for a complete blood cell count and assessment of immunoglobulin and total immunoglobulin E (IgE) levels, and skin-prick tests and spirometry tests were performed. Results: A total of 75 patients ages 5-18 years were evaluated. COVID-19 was asymptomatic/mild in 44 patients and moderate/severe/critical in 31 patients. Based on allergy evaluation, allergic rhinitis was diagnosed in 19 patients (25.3%), asthma in 10 patients (13%), and atopic dermatitis in 3 patients (4%). Aeroallergen sensitivity was detected in 26 patients (34.7%). COVID-19 infection was asymptomatic/mild in 15 patients with allergic rhinitis (78.9%) and in 21 with aeroallergen sensitivity (80.8%) (p = 0.038 and p = 0.005, respectively). There was no difference in severity between the patients with and without asthma (p = 0.550). The median (interquartile range) total IgE level was significantly higher in the asymptomatic/mild group (71.8 [30.7-211.2]) (p = 0.015). There were no differences in terms of spirometry parameters. Conclusion: Aeroallergen sensitization and allergic rhinitis in children may be associated with a milder course of COVID-19. The knowledge that atopy is associated with less-severe COVID-19 outcomes in children may guide clinical risk classification.


Subject(s)
Allergens/adverse effects , Asthma/diagnosis , COVID-19/complications , Dermatitis, Atopic/diagnosis , Hypersensitivity/diagnosis , Rhinitis, Allergic/diagnosis , Skin Tests/statistics & numerical data , Adolescent , Asthma/epidemiology , Asthma/immunology , COVID-19/diagnosis , COVID-19/epidemiology , Child , Child, Preschool , Dermatitis, Atopic/epidemiology , Dermatitis, Atopic/immunology , Female , Humans , Hypersensitivity/epidemiology , Hypersensitivity/immunology , Immunoglobulin E/blood , Male , Respiratory Function Tests , Rhinitis, Allergic/epidemiology , Rhinitis, Allergic/immunology , SARS-CoV-2 , Severity of Illness Index , Turkey/epidemiology
3.
Pediatr Pulmonol ; 56(5): 1018-1025, 2021 05.
Article in English | MEDLINE | ID: covidwho-882365

ABSTRACT

BACKGROUND: Lung ultrasound (LUS) has been successfully used in the diagnosis of different pulmonary diseases. Present study design to determine the diagnostic value of LUS in the evaluation of children with novel coronavirus disease 2019 (COVID-19). METHODS AND OBJECTIVES: Prospective multicenter study, 40 children with confirmed COVID-19 were included. LUS was performed to all patients at admission. The chest X-ray and computed tomography (CT) were performed according to the decision of the primary physicians. LUS results were compared with chest X-ray and CT findings and diagnostic performance was determined. RESULTS: Of the 40 children median (range) was 10.5 (0.4-17.8) years. Chest X-ray and LUS were performed on all and chest CT was performed on 28 (70%) patients at the time of diagnosis. Sixteen (40%) patients had no apparent chest CT abnormalities suggestive of COVID-19, whereas 12 (30%) had abnormalities. LUS confirmed the diagnosis of pulmonary involvement in 10 of 12 patients with positive CT findings. LUS demonstrated normal lung patterns among 15 of 16 patients who had normal CT features. The sensitivity and the area under the receiver operating characteristics (ROC) curve (area under the ROC curve) identified by the chest X-ray and LUS tests were compared and statistically significantly different (McNemar's test: p = .016 and p = .001 respectively) detected. Chest X-ray displayed false-negative results for pulmonary involvement in 75% whereas for LUS it was 16.7%. CONCLUSIONS: LUS might be a useful tool in the diagnostic steps of children with COVID-19. A reduction in chest CT assessments may be possible when LUS is used in the initial diagnostic steps for these children.


Subject(s)
COVID-19 , Pneumonia, Viral/diagnostic imaging , SARS-CoV-2 , Adolescent , Child , Child, Hospitalized , Child, Preschool , Female , Humans , Infant , Male , Predictive Value of Tests , Prospective Studies , Tomography, X-Ray Computed , Ultrasonography
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