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[17] Diseases with a long incubation period (leishmaniasis and leptospirosis) and vector-borne diseases such as malaria and dengue should be considered as possible infections during the recovery phase (> 4 weeks) of natural disasters. [20] Outbreaks of group A streptococcus infection in camps could have devastating consequences, not just as a cause of respiratory infection, but also of wound infections. [10] In the post-earthquake period, the first wave of infectious diseases is caused by food-borne and/or water-borne infections, and/or by infections transmitted by respiratory droplets. [Extracted from the article] Copyright of Journal of Pediatric Infectious Diseases is the property of Thieme Medical Publishing Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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The COVID-19 pandemic is an important cause of morbidity and mortality, which has had a negative impact worldwide. Our aim was to describe clinical findings and outcomes of severe acute respiratory syndrome (SARS)-CoV-2 viral infection and COVID-19 cared for at a large pediatric tertiary care hospital during the first year of the pandemic. Patients aged 1 month to 18 years who were diagnosed as having COVID-19 between March 2020 and April 2021 were included. The files of patients diagnosed with COVID-19 were reviewed retrospectively. Results: Four hundred sixty seven children were included in the study. There were 34 (7.3%) patients under 1 year of age, 111 (23.8%) between 1 and 5 years, 98 (30.4%) between 5 and 10 years, 142 (30.4%) between 11 and 15 years, and 82 (17.6%) age over 15 years. Fever (88.2%), vomiting (32.4%), and diarrhea (29.4%) in patients aged under 1 year, sore throat (36.6%) in patients aged 11-15 years, and dysgeusia (11%), anosmia (14.6%), headache (18.3%), malaise (40.8%), myalgia (28%), and shortness of breath (17.1%) in those aged over 15 years were found to be significantly more common in comparison with the other age groups (p < 0.05). Thirty-five (7.5%) patients were asymptomatic, 365 (78.1%) had mild disease, 35 (7.5%) were moderate, 27 (5.8%) were severe, and five (1.07%) were critical. Leukocyte count, erythrocyte sedimentation rate, ferritin, and C-reactive protein values were significantly higher in hospitalized patients. Three patients died during the study period (0.64%). While SARS-CoV-2 infection may be asymptomatic and COVID-19 usually has a mild clinical course, some children have severe disease or mortality.
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COVID-19 , Adolescent , C-Reactive Protein , Child , Child, Preschool , Ferritins , Humans , Infant , Pandemics , Retrospective Studies , SARS-CoV-2ABSTRACT
OBJECTIVE: The clinical course of new COVID-19 variants in adolescents is still unknown. The aim of this study is to evaluate the clinical characteristics of COVID-19 in adolescents and compare the differences between the original version and the delta variant. MATERIALS AND METHODS: The medical records of patients aged 10-18 years treated for COVID-19 between April 1, 2020 and March 31, 2022 were retrospectively reviewed. Patients were divided into four groups (asymptomatic, mild, moderate, and severe) for COVID-19 severity and into two groups according to the diagnosis date (first-second year). The primary endpoint of the study was hospital admission. RESULTS: The mean age of patients was 171.81 ± 29.5 months, and most of them were males (n: 435, 53.3%). While the patient number was 296 (43.52%) in the first year of pandemic, it raised to 520 (54.11%) in the second year (p < 0.01). The severity of COVID-19 was mild in 667 (81.7%) patients. In the comparison of patients according to the diagnosis date (first-second years); the parameters of anosmia, ageusia, weakness, muscle pain, vomiting, hospital admission, and length of stay in hospital were statistically different (p < 0.05). In the comparison of hospitalized patients between years, the necessity of oxygen support (p < 0.001), endotracheal intubation rates (p < 0.05), length of stay in the hospital (p < 0.001), and the severity of COVID-19 (p < 0.05) was significantly higher in the second year. CONCLUSION: The clinical course for adolescents diagnosed with COVID-19 has linearly changed with the delta variant. Our results confirmed that the delta variant is more transmissible, requires more oxygen support, increases endotracheal intubation, and prolongs the length of stay in the hospital.
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Objective Vitamin D, due to its immunomodulating effect, zinc, and vitamin A, which affect cellular and humoral immunity, are thought to affect the clinical severity of coronavirus disease 2019 (COVID-19) infection. The present study evaluates the association between vitamin A, D, and zinc deficiencies and disease severity in pediatric patients with COVID-19 infections. Methods The levels of vitamin A, D, and zinc at the time of diagnosis of 123 pediatric patients who presented to our hospital and were diagnosed as having hospitalized, nonhospitalized COVID-19 infection group, and multisystem inflammatory syndrome in children (MIS-C) were evaluated. The correlations of the measured levels with the disease severity and the need for intensive care or hospitalization were analyzed. Results Among the 123 patients, 21.1% (n = 26), 42.2% (n = 52), and 36.7% (n = 45) had a diagnosis of MIS-C, belonged to the hospitalized COVID-19 infection group, or belonged to the nonhospitalized COVID-19 infection group, respectively. Zinc levels were significantly lower in the MIS-C group than in the nonhospitalized group (p < 0.05). Vitamin A levels were found to be significantly lower in the MIS-C group than in the nonhospitalized group (p < 0.01) and significantly lower in the hospitalized group when compared with the nonhospitalized group (p < 0.001). Deficiencies in vitamin A, vitamin D, and zinc levels were found to be most common in the MIS-C group (42.3%) and in hospitalized COVID-19 group (15.3%). In the nonhospitalized COVID-19 group, it was found to be the lowest at 6.6%. Conclusion Based on the results of the present study and a literature review, it can be said that vitamin A, D, and zinc deficiencies may associate with the severity of COVID-19, although more studies are required to clarify this subject further.
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Method: This descriptive and cross-sectional study was carried out retrospectively in Dicle University Medical Faculty Hospital Burn Center. Descriptive statistical methods and chi-square test were used in data evaluation. Results: The 3227 burn patients that constituted the sample of our study 55.3% of the burn patients were between the ages of 1-5, 52.5% were male, 42.7% of the cases occurred between 2011 and 2013. The fact that burn patients occur mostly in aged 1-5 years children indicates the need for support from parents and help in child care.
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BACKGROUND: This study's aim was to reveal the burnout, depression, anxiety, stress, and hopelessness levels of HCWs in the pandemic period. METHODS: The cross-sectional study was carried out with 1015 HCWs, between September 1 and October 1, 2021, in Turkey. Maslach Burnout Inventory, Beck Hopelessness Scale, and Depression Anxiety Stress Scale-21 (DASS-21) were used. RESULTS: Of the HCWs, 56.7% had moderate/high emotional exhaustion (EE), 35.8% had moderate/high depersonalization (D), 58.0% had low personal accomplishment (PA), 34.9% had high depression, 31.9% had high anxiety, 15.4% had high stress, and 33.3% had moderate/severe hopelessness. Risk factors for EE were working in a public hospital, increased workload intensity, decreased income, and difficulty in procuring personal protective equipment (PPE). Risk factors for D were having a male gender, being under the age of 40, being a physician, working in a public hospital, and difficulty in procuring PPE. Risk factors for depression were being under the age of 40, having contact with COVID-19 patients, and decreased income. Risk factors for anxiety were having a female gender, being under the age of 40, working in a public hospital, having a chronic disease, having contact with COVID-19 patients, and having individuals at high risk for COVID-19 at home. Risk factors for hopelessness were having a female gender, being a physician, and increased income. CONCLUSION: The negative effects of the pandemic, which has been going on for over a year and a half, on the mental health of HCWs were high.
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Burnout, Professional , COVID-19 , Anxiety/epidemiology , Burnout, Professional/epidemiology , Burnout, Professional/psychology , COVID-19/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Female , Health Personnel/psychology , Humans , Male , Pandemics , Prevalence , SARS-CoV-2 , Turkey/epidemiologyABSTRACT
Objective Genome sequencing is useful for following the change in mutation and variants in viral agent during pandemics. In this study, we performed next-generation sequencing of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) complete genomes on pediatric patients. Methods Six pediatric patients aged 0 to 18 years who were positive for SARS-CoV-2 by reverse transcription polymerase chain reaction were included in this study. SARS-CoV-2 genome sequencing was performed using Oxford Nanopore Technologies MinION, following the ARTIC Network protocols. Sequencing data were obtained using the FASTQ program and quality assessment was evaluated. The sequence information of all samples was uploaded to the Global Initiative on Sharing All Influenza Data (GISAID) database. Genome, variant, clade, and phylogenetic tree analyses were performed with bioinformatic analysis. Results Two of these six samples were at 20A, two were at 20B, and two were at 19A in the nextstrain clade. According to Pango lineages, B.1.36, B.1.218, B.1, and B.1.260 lineages were detected. A total of 84 mutations were observed in all samples. None of the variants were classified as variants of concern (VOC) nor variants of interest (VOI) according to the Pango database. Conclusion This study is the first comprehensively sequence analysis registered in the GISAID database reported from the Konya region in Turkey. Similar studies will be informative to track changes in the virus genome, obtain epidemiological data, guide studies on diagnosis and treatment, and evaluate vaccine efficacy.
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Aim: The first COVID-19 case in Turkey was detected on March 11, 2020 during the COVID-19 pandemic process. Epidemiological studies are needed to be prepared for other outbreaks and to be effective in the disease management process. Based on this reason, in this study it was aimed to determine the epidemiological characteristics of Covid 19 possible and definite cases who applied to the university hospital during the pandemic process. Materials and Methods: This retrospective epidemiological study was carried out by analyzing the data of Covid 19 possible and definite cases, who applied to the university hospital operating as a pandemic hospital between 11 March / 01 June 2020. The data were summarized with descriptive statistics, tables and graphs. Results: Of the 1,383 patients, who applied with the suspicion of COVID-19, 55.5% were men and 84.5% were adults. The median age of children is 4.0 (1.5-10) years old;adults were 52.0 (36.0-67.0) years old. The median time between the outset of complaints and the date of admission to the hospital was 2 (1-3) days. 87.4% of adults and 87.9% of children had symptoms that supported COVID-19 infection. Among cases 7.8% were health care workers. The median age of the fatal cases was 71 (64-82) years old, 79.5% were male, 77.7% were retired. The most common comorbide diseases in these cases were hypertension (28.2%) and malignancy (28.2%). The case fatality rate was found as 2.8% in all patients and 48.4% in patients hospitalized in the intensive care unit. Conclusions: As a result, Covid-19 affects all age groups. Hypertension and malignancy were the most common additional diseases in fatal cases. The risk of illness is higher in healthcare workers who have direct contact with the patients. According to our observations, preventive measures, rapid diagnosis and supportive treatment are valuable. [ABSTRACT FROM AUTHOR] Copyright of Annals of Medical of Research is the property of Annals of Medical Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a pandemic since its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day and early diagnosis has become crucial. Since current diagnostic methods have many disadvantages, new investigations are needed to improve the performance of diagnosis. METHODS: A novel method is proposed to automatically diagnose COVID-19 by using Electrocardiogram (ECG) data with deep learning for the first time. Moreover, a new and effective method called hexaxial feature mapping is proposed to represent 12-lead ECG to 2D colorful images. Gray-Level Co-Occurrence Matrix (GLCM) method is used to extract features and generate hexaxial mapping images. These generated images are then fed into a new Convolutional Neural Network (CNN) architecture to diagnose COVID-19. RESULTS: Two different classification scenarios are conducted on a publicly available paper-based ECG image dataset to reveal the diagnostic capability and performance of the proposed approach. In the first scenario, ECG data labeled as COVID-19 and No-Findings (normal) are classified to evaluate COVID-19 classification ability. According to results, the proposed approach provides encouraging COVID-19 detection performance with an accuracy of 96.20% and F1-Score of 96.30%. In the second scenario, ECG data labeled as Negative (normal, abnormal, and myocardial infarction) and Positive (COVID-19) are classified to evaluate COVID-19 diagnostic ability. The experimental results demonstrated that the proposed approach provides satisfactory COVID-19 prediction performance with an accuracy of 93.00% and F1-Score of 93.20%. Furthermore, different experimental studies are conducted to evaluate the robustness of the proposed approach. CONCLUSION: Automatic detection of cardiovascular changes caused by COVID-19 can be possible with a deep learning framework through ECG data. This not only proves the presence of cardiovascular changes caused by COVID-19 but also reveals that ECG can potentially be used in the diagnosis of COVID-19. We believe the proposed study may provide a crucial decision-making system for healthcare professionals. SOURCE CODE: All source codes are made publicly available at: https://github.com/mkfzdmr/COVID-19-ECG-Classification.
Subject(s)
COVID-19 , Deep Learning , Electrocardiography , Humans , Neural Networks, Computer , SARS-CoV-2ABSTRACT
In this study, it was aimed to investigate the effects of lockdown measures implemented due to COVID-19 on aetiology, sociodemographic characteristics, and clinical status of burn cases. This study was carried out retrospectively at the Burn Unit of Dicle University Medical Faculty Hospital. The burn cases during the COVID-19 outbreak were compared with those of the previous 2 years. Statistical analyses were carried out using the IBM SPSS (Statistics Package for Social Sciences) Statistics 25. Descriptive statistics, independent samples t-test, Kolmogorov-Smirnov test, and Shapiro-Wilk test were used for data evaluation. Results were evaluated at 95% confidence interval and P < .05 significance level. It was determined that burn cases were reduced by half during the COVID-19 compared to the previous 2 years. Despite the increase in the number of third-degree burns and surgeries, it was determined that the length of hospital stay decreased by an average of two thirds. Hot liquids have been identified as the most important cause of burns in all years. New studies should be conducted in order to examine the social dimension of COVID-19 pandemic in burn cases and to prevent these cases completely. The short hospital stay preferred by clinicians after COVID-19 and possible problems that may arise should be investigated.