RESUMO
The characteristics, dynamics and mechanisms/determinants of the immune response to SARS-CoV-2 infection are not fully understood. We performed a bibliometric review of studies that have assessed SARS-CoV-2 antibody responses in the pediatric population using Web of Science online databases, VOSviewer and Bibliometrix tools. The analysis was conducted on 84 publications, from 310 institutions located in 29 countries and published in 57 journals. The results showed the collaboration of scientists and organizations, international research interactions and summarized the findings on (i) the measured titers of antibodies (total antibody and/or individual antibody classes IgG, IgM, IgA) against different antigens (C-terminal region of N (N CT), full-length N protein (N FL), RBD, RBD Alpha, RBD Beta, RBD Gamma, RBD Delta, spike (S), S1, S2) in the case of different clinical forms of the disease; and (ii) the correlations between SARS-CoV-2 antibodies and cytokines, chemokines, neutrophils, C-reactive protein, ferritin, and the erythrocyte sedimentation rate. The presented study offers insights regarding research directions to be explored in the studied field and may provide a starting point for future research.
RESUMO
The literature on the COVID-19 landscape has rapidly expanded in the pandemic period. The current study undertakes a bibliometric analysis of research in the topic of the clinical and laboratory characteristics of pediatric COVID-19 cases. Our aim is to perform a comprehensive bibliometric review of current research trends and patterns of this research domain. Publications retrieved from the Web of Science Core Collection and VOSviewer were used for analysis and network visualization. We analyzed geographical distribution and temporal trends, collaboration and citation patterns of authors, institutions, and countries, and core research themes from co-occurrence of keywords and terms. The analysis showed that contributions in the research field were from 302 publications, 1104 institutions, 62 countries, and 172 journals. Many publications were authored by American and Chinese authors, and many were published in the Pediatric Infectious Disease Journal, Pediatric Pulmonology, and Frontiers in Pediatrics. The top cited and co-cited journals were the New England Journal of Medicine, Nature, JAMA, Lancet Infectious Diseases, and BMJ. The network visualization maps of keywords and terms offered a global overview of the clinical and laboratory characteristics of pediatric COVID-19 patients. The bibliometric profile of the researched domain, based on analyzing a large collection of publications/data, could (i) enrich the researchers and non-researchers understanding of the field existing patterns and trends, and (ii) be useful in clinical practice (diagnostic and management) and public health policy.
RESUMO
The aim of this study was to describe and analyze epidemiological and clinical features of children screened for COVID-19 at Sibiu Pediatric Clinical Hospital during the first 9 months (March-November) of coronavirus disease pandemic in Romania. A total of 203 pediatric patients with a confirmed diagnosis of COVID-19 were included in the study. The median age of the patients was 121 (IQR 18-181) months and 52.22% had mild clinical type with pneumonia, 35.47% were moderate cases, 3.94% severe cases, 0.99% critically ill cases and 7.39% were asymptomatic. The most common symptoms were fever (n = 130, 64.03%), nasal congestion (n = 138, 67.98%), cough (n = 128, 63.05%) followed by sore throat (n = 64, 31.52%), rhinorrhea (n = 63, 31.03%), fatigue (n = 57, 28.07%), headache (n = 47, 23.15%), diarrhea (n = 39, 19.21%), vomiting (n = 32, 15.76%), myalgia (n = 24, 11.82%), abdominal pain (n = 22, 10.83%). A higher proportion of infants with severe or critical disease was encountered with lymphopenia (n = 9, 90%), neutrophilia (n = 5, 50%), leukocytosis (n = 5, 50%) compared with asymptomatic infants (n = 10, 66.67%, n = 1, 6.67%, n = 3, 20%) or mild (n = 53, 50%, n = 19, 17.92%, n = 15, 14.15%) and moderate (n = 37, 51.39%, n = 9, 12.50%, n = 6, 8.33%) cases (p = 0.095, p = 0.042, p = 0.034). Pediatric patients generally had mild or moderate type of COVID-19, and the critically ill cases were rare. In our study, frequent symptoms were observed in both the systemic and respiratory systems, ear, nose and throat system, and less from gastrointestinal system, central nervous system or ocular system. Additionally, there is an increase in liver and myocardial enzyme levels with an increase in disease severity. Understanding the clinical and laboratory characteristics of pediatric patients is important for diagnosis, management and effective control of the disease.
RESUMO
Neonatal brain injury or neonatal encephalopathy (NE) is a significant morbidity and mortality factor in preterm and full-term newborns. NE has an incidence in the range of 2.5 to 3.5 per 1000 live births carrying a considerable burden for neurological outcomes such as epilepsy, cerebral palsy, cognitive impairments, and hydrocephaly. Many scoring systems based on different risk factor combinations in regression models have been proposed to predict abnormal outcomes. Birthweight, gestational age, Apgar scores, pH, ultrasound and MRI biomarkers, seizures onset, EEG pattern, and seizure duration were the most referred predictors in the literature. Our study proposes a decision-tree approach based on clinical risk factors for abnormal outcomes in newborns with the neurological syndrome to assist in neonatal encephalopathy prognosis as a complementary tool to the acknowledged scoring systems. We retrospectively studied 188 newborns with associated encephalopathy and seizures in the perinatal period. Etiology and abnormal outcomes were assessed through correlations with the risk factors. We computed mean, median, odds ratios values for birth weight, gestational age, 1-min Apgar Score, 5-min Apgar score, seizures onset, and seizures duration monitoring, applying standard statistical methods first. Subsequently, CART (classification and regression trees) and cluster analysis were employed, further adjusting the medians. Out of 188 cases, 84 were associated to abnormal outcomes. The hierarchy on etiology frequencies was dominated by cerebrovascular impairments, metabolic anomalies, and infections. Both preterms and full-terms at risk were bundled in specific categories defined as high-risk 75-100%, intermediate risk 52.9%, and low risk 0-25% after CART algorithm implementation. Cluster analysis illustrated the median values, profiling at a glance the preterm model in high-risk groups and a full-term model in the inter-mediate-risk category. Our study illustrates that, in addition to standard statistics methodologies, decision-tree approaches could provide a first-step tool for the prognosis of the abnormal outcome in newborns with encephalopathy.