Respiratory Syndrome Coronavirus Research Articles

Spectroscopic Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2)

Abstract: When light shines on an object, it sheds focus on the intrinsic characteristics of that material. Transmission of light or an electromagnetic (em) wave through a matter undergoes various physiochemical processes, like emission, absorption, and splitting of light into its constituent wavelengths. This interaction of em radiation with matter is widely used for the investigation of unknown and new target analytes in a sample, and the technique is known as spectroscopy. In the early 2000s, energy excitation of the virus was demonstrated in influenza. The research first demonstrated the use of Surface-enhanced Raman Scattering (SERS), whose biomedical application became a potential diagnostic tool. The LASERs also attracted attention and were incorporated with the optical and spectroscopy instruments that significantly enhanced the application, reach, and detection limit of air and waterborne elements. Surface plasmon resonance and SERS are the most applied spectroscopic techniques with high accuracy and speed. A combination of these techniques with other advanced microscopy techniques, such as atomic force microscopy, scanning electron microscopy, and tunnelling electron microscopy, may ease and boost biomedical applications. This review is focused on the application of spectroscopy and laser-based techniques in the detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2).

Causal associations of COVID‐19 on neurosurgical diseases risk: a Mendelian randomization study

Many researchers have explored the potential association between one neurosurgical disease and coronavirus disease 2019 (COVID-19), but few systematically analyzed the association and causality between COVID-19 and various neurosurgical diseases. A Mendelian randomization analysis was conducted to evaluate the causal association between COVID-19 (including critically ill COVID‐19, hospitalized COVID‐19, and respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection) and 30 neurosurgical diseases within European populations. The consequences of inverse variance weighted models suggest that genetic susceptibility of critically ill COVID-19 may increase the risk of cerebral infarction (odds ratio [OR] = 1.02; p‐value = 0.006), genetic susceptibility of SARS-CoV-2 infection may increase the risk of stroke (OR = 1.02; p‐value = 0.047), and conversely, genetic susceptibility of hospitalized COVID-19 may reduce the risk of pituitary adenoma and craniopharyngioma (OR = 0.90; p‐value = 0.032). In addition, evidences revealed potential associations between genetic susceptibility of COVID-19 and spinal stenosis (OR = 1.03; p‐value = 0.028), diffuse brain injury (OR = 1.21; p‐value = 0.040) and focal brain injury (OR = 1.12; p‐value = 0.040). By testing for heterogeneity and pleiotropy, the above causal conclusions are robust. In summary, our analysis shows that COVID-19 has an independent and powerful causal influence on multiple neurosurgical disorders.

A critical review of personal protective equipments in relation to pandemics

PurposePersonal Protective Equipment plays an inevitable part in the current scenario of pandemics in the world. A novel coronavirus, Severe Acute Respiratory Syndrome-Corona Virus-2 (SARS-Cov 2), began as an outbreak of pneumonia in Wuhan, China, in late December 2019, and quickly spread worldwide. It quickly escalated into an international public health crisis. This opened up the high demand for the innovation and research of new materials in the Personal Protective Equipment industry.Design/methodology/approachPubMed, Embase and Google Scholar were searched for relevant literature regarding personal protective equipment and the information was organized in a systematic way.FindingsThere are no adequate number of studies taken up in the field of use of textiles in medical applications especially with PPEs.Research limitations/implicationsThis structured review will generate a sense of the significance of using PPE for controlling pandemics and also awaken need for additional research and innovations in this area.Practical implicationsThe authorities of the management should take timely intervention in choosing the right material for their PPE in their hospitals. Hence health care professionals teams have an inevitable role in preventing the adverse environmental impact due to the inadvertent disposal of PPEs.Social implicationsThere is a lack of systematic way of disposing contaminated single-use face masks in a safe, environmentally acceptable manner. The dumping of single-use PPE in domestic garbage has had an adverse effect on the environment. Mismanaged plastic waste endangers the health of ecosystems by polluting marine and terrestrial environments, posing a significant risk of ingestion or injury to animals and contaminating habitats.Originality/valueThis review article provides an in-depth review of the use of different materials in PPE and challenges regarding its long-term use and implications on the environment.

Hierarchical Virtual Screening of SARS-CoV-2 Main Protease Potential Inhibitors: Similarity Search, Pharmacophore Modeling, and Molecular Docking Study

Background: The outbreak of COVID-19 caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2) resulted in a widespread pandemic. Various approaches involved the repositioning of antiviral remedies and other medications. Several therapies, including oral antiviral treatments, represent some approaches to adapting to the long existence of the COVID-19 pandemic. In silico studies provide valuable insights throughout drug discovery and development in compliance with global efforts to overcome the pandemic. The main protease is an essential target in the viral cycle. Computer-aided drug design accelerates the identification of potential treatments, including oral therapy. Aim: This work aims to identify potential SARS-CoV-2 main protease inhibitors using different aspects of in silico approaches. Method: In this work, we conducted a hierarchical virtual screening of SARS-CoV-2 main protease inhibitors. A similarity search was conducted to screen molecules similar to the inhibitor PF-07321332. Concurrently, structure-based pharmacophores, besides ligand-based pharmacophores, were derived. A drug-likeness filter filtered the compounds retrieved from similarity search and pharmacophore modeling before being subjected to molecular docking. The candidate molecules that showed higher affinity to the main protease than the reference inhibitor were further filtered by absorption, distribution, metabolism, and excretion (ADME) parameters. Result: According to binding affinity and ADME analysis, four molecules (CHEMBL218022, PubChem163362029, PubChem166149100, and PubChem 162396459) were prioritized as promising hits. The compounds above were not reported before; no previous experimental studies and bioactive assays are available. Conclusion: Our time-saving approach represents a strategy for discovering novel SARS-CoV- 2 main protease inhibitors. The ultimate hits may be nominated as leads in discovering novel SARS-CoV-2 main protease inhibitors.

The Role of Primary Care in Bridging Adolescents Awaiting Eating Disorder Treatment.

The striking rise in adolescent eating disorders since the severe acute respiratory coronavirus syndrome 2 pandemic has amplified demands for specialty eating disorders services and contributed to protracted delays in care. In the context of these delays, patients are at risk for increased weight loss, medical instability, escalating disease progression and poor prognosis. Primary care providers (PCPs) are frequently the first point of contact for young patients with eating disorders and are often left to bridge the gap while families struggle to establish specialty care. Yet, beyond case detection and medical comanagement, there are no evidence-based guidelines that can assist PCPs to prepare families for treatment, halt disease progression, and begin the lengthy process of weight and nutritional restoration in efforts to reduce medical complications and support a favorable prognosis. We present the case of a 13-year-old girl with a restrictive eating disorder to illustrate how PCPs can use intervention principles and strategies derived from evidence-based eating disorder treatment to successfully manage adolescent patients until they can access specialty treatment. We offer concrete guidelines for decision-making, as well as suggested behavioral and medical interventions for the PCP. With evidence-based tools, PCPs are well-positioned to support young patients with restrictive eating disorders and their family members as they begin the process of recovery from an eating disorder.

A “safety cap” for improving hospital sanitation and reducing potential disease transmission

BackgroundDuring endotracheal intubation, extubation, tracheotomy, and tracheotomy tube replacement, the splashed airway secretions of patients will increase the risk of transmission of SARS-CoV‐2 and many other potential viral and bacterial diseases, such as influenza virus, adenovirus, respiratory syncytial virus, rhinovirus, Middle East respiratory coronavirus syndrome (MERS-CoV), Streptococcus pneumoniae, and Mycobacterium tuberculosis. Therefore, it is necessary to establish a barrier between patients and medical workers to reduce the risk of operators’ infection with potentially pathogenic microorganisms.MethodsWe designed a “safety cap” that can be connected to the opening of an endotracheal tube or tracheotomy tube to reduce the diffusion area of respiratory secretions during the process of endotracheal intubation, extubation and tracheotomy tube replace, so as to reduce the infection risk of medical workers.ResultsThrough a series of hydrodynamic simulation analysis and experiments, we demonstrated that the use of “safety cap” can substantially limit the spatter of airway secretions, so as to improve the hospital sanitation.ConclusionThe “safety cap” can effectively limit the dissemination of patients’ respiratory secretions, thus reducing the risk of potential diseases transmission and may have certain application prospects.

Management of Severe Acute Respiratory Syndrome-Corona Virus-2 infection in the Principality of Monaco

Management of Severe Acute Respiratory Syndrome-Corona Virus-2 infection in the Principality of Monaco

Trends in research on acute lung injury/acute respiratory distress syndrome associated with viral pneumonia from 1992 to 2022: a 31-year bibliometric analysis.

Acute lung injury/acute respiratory distress syndrome (ALI/ARDS) is a dangerous symptom in patients with severe viral pneumonia. This study aims to comprehensively review the cooperation and influence of countries, institutions, authors and co-cited journals/authors/references and keywords in the field of ALI/ARDS associated with viral pneumonia from the perspective of bibliometrics, evaluate the clustering evolution of knowledge structure, and find hot trends and emerging topics. Publications on ALI/ARDS associated with viral pneumonia published from January 1, 1992 to December 31, 2022 were extracted from the Web of Science core collection. The document type was limited to original article or review, with the language set to English. Citespace was used to conduct the bibliometric analysis. A total of 929 articles were included, and the number of them generally increased over time. The countries with the most published articles in this field are the United States (320 papers) and Fudan University is the institution (15 papers) with the most research results. The New England Journal of Medicine was the most frequently co-cited journal, while the most influential co-cited journal was American Journal of Clinical Pathology. Reinout A Bem and Cao Bin were the most prolific author, but there was no leader in this field. The keywords with both high frequency and high centrality were "pneumonia" (Freq = 169, Central = 0.15), "infection" (Freq = 133, Central = 0.15), "acute lung injury" (Freq = 112, Central = 0.18), "respiratory distress syndrome" (Freq = 108, Central = 0.24), and "disease" (Freq = 61, Central = 0.17). "Failure" was the first keyword with citation bursts. Meanwhile, "coronavirus," "cytokine storm" and "respiratory syndrome coronavirus" continue to burst. Although there was a surge in literature since 2020, attentions to ALI/ARDS associated with viral pneumonia were still insufficient over last three decades. The communication and cooperation among countries, institutions and authors need to be further strengthened.

Mucormycosis: A Serious Catastrophe Involving COVID-19 Patients

Abstract: With the global pandemic, COVID-19, spurred on by the "Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2)," India has been greatly impacted. With a rare fungus known as Mucormycosis, the second wave of COVID-19 significantly impacted the Indian population after the initial phase. Mucormycosis is also known as "black fungus" because of the necrosis of infected skin tissue, which causes it to become black. It is caused by Mucoromycetes, members of the Zygomycetes order and the Mucorales class. COVID-19's effects on various comorbid ailments, such as diabetes, heart problems, and immune-compromised states, range from mild to severe to life-threatening. Mucormycosis moulds are more likely to affect patients who have hyperglycemia, ketoacidosis, solid organ or bone marrow transplantation, liver cirrhosis, or neutropenia. To eliminate Mucormycosis, four primary variables must be addressed: early diagnosis, eradication of predisposing factors, prompt antifungal treatment with surgical removal of all diseased tissues, and adjuvant therapies. Here, the present review discusses the clinical aetiology, symptoms, diagnosis, and therapy for black fungus. The study leads to the conclusion that the use of immunosuppressant medication to combat COVID-19 also elevates the possibility of being infected with mucormycotic.

Causal effects of COVID-19 on cancer risk: A Mendelian randomization study.

In contemporary literature, little attention has been paid to the association between coronavirus disease-2019 (COVID-19) and cancer risk. We performed the Mendelian randomization (MR) to investigate the causal associations between the three types of COVID-19 exposures (critically ill COVID-19, hospitalized COVID-19, and respiratory syndrome coronavirus 2 (SARS-CoV-2) infection) and 33 different types of cancers of the European population. The results of the inverse-variance-weighted model indicated that genetic liabilities to critically ill COVID-19 had suggestive causal associations with the increased risk for HER2-positive breast cancer (odds ratio [OR] = 1.0924; p-value = 0.0116), esophageal cancer (OR = 1.0004; p-value = 0.0226), colorectal cancer (OR = 1.0010; p-value = 0.0242), stomach cancer (OR = 1.2394; p-value = 0.0331), and colon cancer (OR = 1.0006; p-value = 0.0453). The genetic liabilities to hospitalized COVID-19 had suggestive causal associations with the increased risk for HER2-positive breast cancer (OR = 1.1096; p-value = 0.0458), esophageal cancer (OR = 1.0005; p-value = 0.0440) as well as stomach cancer (OR = 1.3043; p-value = 0.0476). The genetic liabilities to SARS-CoV-2 infection had suggestive causal associations with the increased risk for stomach cancer (OR = 2.8563; p-value = 0.0019) but with the decreasing risk for head and neck cancer (OR = 0.9986, p-value = 0.0426). The causal associations of the above combinations were robust through the test of heterogeneity and pleiotropy. Together, our study indicated that COVID-19 had causal effects on cancer risk.

Fall of viral and bacterial pneumonia hospitalizations following COVID-19 pandemic mitigation strategies: a central Italian Region retrospective study

Community-Acquired Pneumonia (CAP) represents one of the first causes of hospitalization and death in the elderly all over the world and weighs heavily on public health system. Since the beginning of the COVID-19 (CoronaVirus Disease-19) pandemic, everybody’s behavior was forced to change, as the result of a global lockdown strategy and the obligation of using personal protection equipment (PPE). We aimed to evaluate how the mitigation strategies adopted to fight SARS-CoV-2 (Severe Acute Respiratory Coronavirus Syndrome 2) infection have influenced hospitalizations due to CAP in two different Local Health Boards (LHBs) of central Italy. We considered two main periods of observation: before and after the national start of lockdown, in two Abruzzo’s LHBs. We analyzed 19,558 hospital discharge records of bacterial and viral CAP. Excluding SARS-CoV2 infection, a significant decrease in CAP hospitalizations was observed. Through the analysis of Diagnosis Related Group (DRG) values, we highlighted a significant saving of founds for the Regional Health Service. The enactment of social distancing measures to contain COVID-19 spread, brought down admissions for bacterial and viral pneumonia. Our study emphasizes that costs for hospitalizations due to CAP could be drastically reduced by mask wearing and social distancing.

A Molecular and Epidemiological Investigation of a Large SARS-CoV-2 Outbreak in a Long-Term Care Facility in Luxembourg, 2021

In spring 2021, a long-term care facility (LTCF) of 154 residents in Luxembourg experienced a large severe, acute respiratory-syndrome coronavirus 2 (SARS-CoV-2) outbreak a few days after a vaccination campaign. We conducted an outbreak investigation and a serosurvey two months after the outbreak, compared attack rates (AR) among residents and staff, and calculated hospitalization and case-fatality rates (CFR). Whole genome sequencing (WGS) was performed to detect variants in available samples and results were compared to genomes published on GISAID. Eighty-four (55%) residents and forty-five (26%) staff members tested positive for SARS-CoV-2; eighteen (21%) residents and one (2.2%) staff member were hospitalized, and twenty-three (CFR: 27%) residents died. Twenty-seven (21% of cases) experienced a reinfection. Sequencing identified seventy-seven cases (97% of sequenced cases) with B.1.1.420 and two cases among staff with B.1.351. The outbreak strain B.1.1.420 formed a separate cluster from cases from other European countries. Convalescent and vaccinated residents had higher anti-SARS-CoV-2 IgG antibody concentrations than vaccinated residents without infection (98% vs. 52%, respectively, with >120 RU/mL, p < 0.001). We documented an extensive outbreak of SARS-CoV-2 in an LTCF due to the presence of a specific variant leading to high CFR. Infection in vaccinated residents increased antibody responses. A single vaccine dose was insufficient to mitigate the outbreak.

Clinical Features and Paraclinical Findings in Patients with SARS CoV-2 Pneumonia and the Impact of Pulmonary Rehabilitation on the Instrumental Activities of Daily Living in POST-COVID-19 Patients

The functional sequelae grouped under the name "long COVID" most often bring the patient in front of a team of specialists in pulmonary rehabilitation. The aim of this study was to evaluate clinical features and paraclinical findings in patients with SARS CoV-2 (Severe Acute Respiratory Syndrome-Corona Virus-2) pneumonia and to also evaluate the impact of rehabilitation in this category of patients. This study included 106 patients diagnosed with SARS CoV-2. The division of the patients into two groups was performed based on the presence of SAR-CoV-2 pneumonia. Clinical symptoms, biochemical parameters, and pulmonary functional and radiological examinations were recorded and analyzed. The Lawton Instrumental Activities of Daily Living (IADL) scale was applied to all patients. Patients in group I were included in the pulmonary rehabilitation program. Among demographic characteristics, age over 50 years (50.9%; p = 0.027) and the female sex (66%; p = 0.042) were risk factors for pneumonia in patients with SARS CoV-2. Over 90% of the 26 patients included in the rehabilitation program were less able to feed, bathe, dress, and walk. After 2 weeks, approximately 50% of patients were able to eat, wash, and dress. It is important to provide longer rehabilitation programs in cases of moderate, severe, and very severe COVID-19 patients, in order to significantly improve patients' participation in daily activities and their quality of life.

An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis

Coronavirus Disease-2019 (COVID-19) causes Severe Acute Respiratory Syndrome-Corona Virus-2 (SARS-CoV-2) and has opened several challenges for research concerning diagnosis and treatment. Chest X-rays and computed tomography (CT) scans are effective and fast alternatives to detect and assess the damage that COVID causes to the lungs at different stages of the disease. Although the CT scan is an accurate exam, the chest X-ray is still helpful due to the cheaper, faster, lower radiation exposure, and is available in low-incoming countries. Computer-aided diagnostic systems based on Artificial Intelligence (AI) and computer vision are an alternative to extract features from X-ray images, providing an accurate COVID-19 diagnosis. However, specialized and expensive computational resources come across as challenging. Also, it needs to be better understood how low-cost devices and smartphones can hold AI models to predict diseases timely. Even using deep learning to support image-based medical diagnosis, challenges still need to be addressed once the known techniques use centralized intelligence on high-performance servers, making it difficult to embed these models in low-cost devices. This paper sheds light on these questions by proposing the Artificial Intelligence as a Service Architecture (AIaaS), a hybrid AI support operation, both centralized and distributed, with the purpose of enabling the embedding of already-trained models on low-cost devices or smartphones. We demonstrated the suitability of our architecture through a case study of COVID-19 diagnosis using a low-cost device. Among the main findings of this paper, we point out the performance evaluation of low-cost devices to handle COVID-19 predicting tasks timely and accurately and the quantitative performance evaluation of CNN models embodiment on low-cost devices.

Vital Support of Information Technology in India during Novel Coronavirus Disease 2019

The group of patients on December 2019 in Wuhan, Hubei Province, China was struck by fever and littleness of breath. In January 7, 2020, the cause of the outburst is recognized as severe serious respiratory syndrome coronavirus 2 (SARS-CoV-2) and is isolated by the Chinese authorities. As of April 04, 2022, total 489,779,062 established cases of coronavirus disease of 2019 was 489,779,062. COVID-19 spreads as soon as an infected individual exhales virus-containing droplets and other persons breathe in these droplets, or they may deposit on their different body part like eyes, noses, mouth and noses. To prevent its spread, various restrictions have been imposed which in turn has increased the use of technology in various sectors like education, healthcare, etc. This paper aims to shed some light on the growth, advantages and disadvantages of technology as seen during the pandemic and is an in-depth analysis of growth of online grocery &amp; medicine delivery services, online payment methods like UPI and how education, finance and health industry has been revolutionized in this time period.

Characteristics of ischemic stroke in patients with confirmed coronavirus disease 2019 infection in Vojvodina, Serbia

Introduction. The World Health Organization declared a pandemic of coronavirus disease 2019 on March 11, 2020. The literature has shown that coronavirus disease 2019 is associated with thromboembolic complications, including ischemic stroke. This retrospective study aims to present the characteristics of ischemic stroke in patients with coronavirus disease 2019. Material and Methods. This retrospective study was conducted in the period from April 2020 to January 2022 at the Clinical Center of Vojvodina, and included 58 patients with confirmed coronavirus disease 2019 and a new-onset ischemic stroke. Results. The reason for hospitalization in 42 (72.41%) patients was a new-onset ischemic stroke and 16 of them (38.09%) had a previously confirmed coronavirus disease 2019. In 16 patients (27.58%), ischemic stroke occurred during hospital treatment due to severe clinical manifestations of coronavirus disease 2019. In most coronavirus disease 2019 positive patients the etiology of ischemic stroke was unknown. In most cases (43.1%), the ischemic stroke was a partial infarction of the anterior circulation. Nine patients (15.51%) received intravenous thrombolytic therapy (alteplase) in the appropriate time frame. Lethal outcome occurred in 21 patients, of which in 11 patients complications of coronavirus disease 2019 were the cause of death. Conclusion. A large number of cases with stroke and thrombotic complications in patients with coronavirus disease 2019 is a good indicator that severe acute respiratory syndrome coronavirus 2 does not only cause respiratory infections, but is a systemic infection. The etiology of most ischemic strokes was unknown, which is probably related to difficult functioning of the health system during the pandemic.

Damlacık Yolu ile Bulaşan Hastalıklarda Evde İzolasyon Deneyimleri ve Önemi

Healthcare workers, especially midwives and nurses who work in service units that require close contact with patients, such as delivery rooms and coronavirus disease-2019 clinics, are at high risk of being infected with the severe acute respiratory syndrome-coronavirus2. The virus can be transmitted and cause infections easily through physical contact and droplets. As the disease spread rapidly and infected many people throughout the world, it caused an unprecedented number of patients to be hospitalized and increased the need for medical treatment and care. This situation has led to an increase in the workload of health professionals working at all levels in the hospitals, especially midwives and nurses, and in the risk of transmission among infected patients and healthcare workers. This case report aimed to share the self-isolation measures taken at home by a hospital manager during the period after suspected contact with an infected person and during the treatment process.

Hematological Parameters in COVID-19 Patients: Association with Severity of the Disease.

The novel coronavirus (COVID-19) produced severe acute respiratory coronavirus syndrome (SARS-CoV-2; formerly known as 2019-nCoV) and has mild to fatal symptoms. This study aimed to investigate the different blood markers in confirmed positive COVID-19 individuals and see how they associated with the severity of the condition. A cross-sectional study was conducted from September 2020 to March 2021 on seventy-six (20 female and 56 male) Iraqi patients unvaccinated against COVID-19. The mean age of the study subjects was (47.00±13.31; 43.86±14.27) for males and females, respectively. 68.42% of the cases with mild illness, 14.47% with moderate illness, and 17.10% were severely ill. The severity of COVID-19 was assessed by several hematological parameters, including white blood cell (WBC) count, derived indicators such as neutrophils to lymphocyte ratio (NLR) and IL6, C-reactive protein (CRP), D-dimer, and S-ferritin. The results showed that lymphocyte count was lower in severely ill patients compared to patients with mild and moderate symptoms, with a significant difference between the three groups (2.274.83). Additionally, the NLR results showed a significant rise (11.56±1.23) in severe COVID-19. The results of the present study indicated that serum levels of IL6, CRP, and S-ferritin revealed significant differences (41.20±6.23 pg/ml), (50.66±12.55 mg/l), and (454.60±95.69 ng/ml) at (P≤0.05) in sever ill compared with mild and moderately ill patients respectively. The results indicated a highly significant positive correlation between IL6 and severity of COVID-19 infection at P<0.01. Furthermore, a positive connection is seen in Neutrophil, CRP, and NLR (0.229, 0.264, and 0.277) at (P≤0.05) respectively.

Atrial Fibrillation and Cardiovascular Risk Assessment among COVID-19 Patients Using Different Scores.

Since the advent of severe acute respiratory syndrome-coronavirus-2 in December 2019, millions of people have been infected and succumbed to death because of this deadly virus. Cardiovascular complications such as thromboembolism and arrhythmia are predominant causes of morbidity and mortality. Different scores previously used for atrial fibrillation (AF) identification or prediction of its complications were investigated by physicians to understand whether those scores can predict in-hospital mortality or AF among patients infected with the severe acute respiratory syndromecoronavirus-2 virus. Using such scores gives hope for early prediction of atrial arrhythmia and in-hospital mortality among coronavirus disease 2019-infected patients. We have discussed the mechanisms of AF and cardiovascular damage in coronavirus disease 2019 patients, different methods of AF prediction, and compared different scores for prediction of in-hospital mortality after this viral infection.

Epidemiology and clinical features of SARS-CoV-2 infection in hospitalized children across four waves in Hungary: A retrospective, comparative study from March 2020 to December 2021.

From 2019 till the present, infections induced by the novel coronavirus and its mutations have posed a new challenge for healthcare. However, comparative studies on pediatric infections throughout waves are few. During four different pandemic waves, we intended to investigate the clinical and epidemiological characteristic of the pediatric population hospitalized for severe acute respiratorysyndrome coronavirus 2(SARS-CoV-2) virus infection. Between March 2020 and December 2021, we performed our retrospective research on children infected with the SARS-CoV-2 virus at the University of Szeged. We analyzed the data of all patients who required hospitalization due to positive results of SARS-CoV-2 tests (Nucleic Acid Amplification Test or rapid antigen test). Data analysis included demographic data, medical history, clinical findings, length of hospitalization, and complications, using medical records. In this study, data from 358 coronavirus-infected children were analyzed. The most affected age group was children over 1 month and under 1 year (30.2%). The highest number of cases was recorded in the fourth wave (53.6%). Fever (65.6%), cough (51.4%), nasal discharge (35.3%), nausea and vomiting (31.3%), and decreased oral intake (28.9%) were the most common symptoms. The most common complications were dehydration (50.5%), pneumonia (14.9%), and bronchitis/bronchiolitis (14.5%). Based on RR values, there are considerable differences in the prevalence of the symptoms and complications between the different age groups and waves. Cox proportional hazard model analyzes showed that fever and tachypnoea had a relevant effect on days to recovery. We found trends similar to those previously published, overall statistics. The proportion of children requiring hospitalization varied from wave to wave, with the fourth wave affecting the Hungarian child population the most. Our findings suggest that hospitalization time is unrelated to age, but that certain symptoms (fever and tachypnoea) are associated with longer hospitalization. The onset of certain symptoms may differ by age group.