ABSTRACT
Background: The coronavirus infection (COVID-19) pandemic has seen a progressive increase in childhood morbidity worldwide. Continuous mutation of the SARS-CoV-2 virus causes the wave-like course of the COVID-19 pandemic, which is characterized by an undulating course and the predominance of different variants of the SARS-CoV-2 virus. There are many reports that the clinical picture may vary depending on the circulating strain of the virus [7-11, 13-16]. Based on this, we decided to analyze and evaluate the presence of a pattern between the clinical and epidemic COVID-19 characteristics and the strain of the SARS-CoV-2 virus prevailing locally. The aim of the work: To study the effects of various strains of SARS-CoV-2 on the clinical and epidemiological characteristics of pediatric patients; to determine the regularity between the severity of the disease and the circulating strain of SARS-CoV-2. Materials and methods: A retrospective analysis of 945 case stories of COVID-19 disease in children who were hospitalized at the infectious diseases hospital (Kyiv, Ukraine) in the period from June 2020 to February 2022 (corresponding to a period of four waves of different SARS-CoV-2 strains). We investigated epidemiological and clinical features, as well as laboratory and instrumental parameters, comparing four waves of the disease. Results and Conclusions: A regularity between the wave of COVID-19 and the severity of the disease was found. The third wave seemed to be the most severe, due to the increase in the frequency of complications, concomitant pathology, clinical symptoms and the level of mortality. The timing of this outbreak matched with the circulation of the SARS-CoV-2 delta-variant and correlated with an increase in hospitalization rates in Ukraine.
ABSTRACT
COVID-19 is a new disease with high morbidity and mortality in the world and great clinical variability in its behavior. With the aim of characterizing clinical and epidemiological variables in patients positive for COVID-19 in the province of Villa Clara, a descriptive study of positive clinical cases to the real-time Reverse Transcriptase Polymerase Chain Reaction test was carried out. from the province of Villa Clara (317 patients), from March to November 2020. The registry of PCR tests of the Provincial Laboratory of Microbiology was used and the epidemiological surveys were reviewed. Female patients, the age group from 40 to 59 years and residents in the municipality of Santa Clara prevailed. Most of the patients were asymptomatic at diagnosis. The most frequent symptoms were cough and fever. Arterial hypertension and Diabetes Mellitus were the comorbidities that most accompanied the disease.
ABSTRACT
BACKGROUND: To date, information on COVID-19 pediatric patients is still sparse. We aimed to highlight the epidemiological and clinical data regarding SARS-CoV-2 infection in children and adolescents to improve the understanding of the disease in this age group and inform physicians during the ongoing COVID-19 pandemic. METHODS: We conducted a retrospective, observational study in "Marie Curie" Emergency Children's Hospital from Bucharest, Romania. We analyzed clinical and epidemiological characteristics of the patients confirmed with SARS-CoV-2 infection, between April 1, 2020-October 31, 2020. RESULTS: A total of 172 patients aged 0-18 years were included, 79 (45.93%) female and 93 (54.07%) male patients. 28 (16.28%) patients had co-morbidities (more often identified in asymptomatic group; p < 0.0001). 47 (27.32%) had exposure to an identified source. 30 (17.44%) patients were asymptomatic; 142 (85.56%) had mild or moderate disease. The most frequent symptoms were: pyrexia (78.87%), digestive symptoms (50%), cough (40.14%). Chest X-ray was performed in 50 patients and it was abnormal in half of them, all being symptomatic. About 2/3 of the evaluated patients had normal leukocytes. The most common hematological change was lymphopenia; monocytes tended to be higher in symptomatic patients. About 40% of the patients were admitted; none required admission to ICU. No significant differences were found between symptomatic and asymptomatic patients regarding gender, age distribution, and exposure to a source. CONCLUSIONS: All the patients had asymptomatic, mild or moderate disease. Patients with comorbidities, classically considered high risk patients, presented the same pattern of disease.
ABSTRACT
BACKGROUND: This study presents the demographic, epidemiological, and clinical characteristics of Coronavirus Disease 2019 (COVID-19) in Saudi Arabia (KSA). It identifies the important predictors of the disease prognosis. METHODS: The study reviewed and analysed a sample of 307,010 confirmed symptomatic COVID-19 cases, between March and August 2020, available in the health electronic surveillance system (HESN) of the Ministry of Health of KSA. Descriptive and univariate analyses were conducted. RESULTS: The overall estimated prevalence of symptomatic COVID-19 cases in KSA between March and August 2020 was 6.1% . The estimated incidence proportion was 879.7 per 100,000 population. The overall case fatality ratio was 2.0%. Males represented 63.9% , with a mean age of 35.1 ± 16.6 years. Young adults (16-39 years) were the most affected ages (53.3%). Fever (90.5%) with a mean body temperature of 37.4 ± 2.0 Celsius, cough (90%), and sore throat (77.4%) were the most prevalent symptoms. A history of contact with a confirmed COVID-19 case was reported in 98.8% of patients.Males (2.1%) and elderly cases aged 65-99 years (25.6%) had the highest association with mortality (p < .001). Among the clinical characteristics investigated, low oxygen saturation (SpO2 ≤ 93%) had the highest association with hospital admission (50.8%) and mortality (19.1%) (p < .001). Cases with cardiovascular diseases (28.6%) and malignancy (28%) demonstrated the highest associations with mortality compared to other underlying diseases (p < .001). CONCLUSIONS: In KSA, the prevalent symptoms of COVID-19 are fever, cough, and sore throat. Makkah and Almadinah regions are significantly associated with highest burden of mortality. The low level of oxygen saturation, high fever, old age, and underlying cardiovascular disease are the most important predictors for prognosis.