The COVID-19 pandemic has underscored the critical need for effective public health strategies to combat infectious diseases. This study examines the epidemiological characteristics and spatial distribution of COVID-19 incidence and mortality in Zanjan Province, northwest Iran, to inform future epidemic preparedness. Using data from 39,739 hospitalized COVID-19 cases recorded between February 2020 and September 2021, sourced from the Medical Care Monitoring Center, we conducted descriptive and geospatial analyses. Demographic, clinical, and spatial variables were analyzed using logistic regression and advanced spatial techniques, including Kernel Density Estimation and Local Moran's I, to identify risk factors and disease hotspots. Results revealed that women accounted for 52% of cases, with higher incidence rates, while men exhibited higher mortality rates (7.86% vs. 7.80%). Urban areas, particularly the provincial capital, were identified as hotspots, with the highest patient density (20,384 cases per 10 km²). Comorbidities such as HIV/AIDS (OR: 4.85), chronic liver disease (OR: 3.6), chronic blood diseases (OR: 2.8), and cancer (OR: 2.5) significantly increased mortality risk, with ventilator use showing the highest odds ratio for death (OR = 91). Vaccination significantly reduced mortality, with fully vaccinated individuals experiencing a 6.3% mortality rate compared to 8.1% in unvaccinated individuals. Spatial analysis highlighted population density and mobility as key drivers of disease spread. These findings emphasize the importance of integrating spatial and epidemiological data to enhance pandemic preparedness. Targeted interventions in urban hotspots, early detection systems, and prioritizing vaccination for high-risk populations are critical for mitigating future outbreaks. This study provides a foundation for evidence-based public health strategies to strengthen global epidemic response and improve preparedness for future health crises.

This study aimed to identify possible early biomarkers of mortality among clinical and biochemical parameters, iron metabolism parameters, and cytokines detected within 24 h from admission in hospitalized COVID-19 patients. We enrolled 80 hospitalized patients (40 survivors and 40 non-survivors) with COVID-19 pneumonia and acute respiratory failure. The median time from the onset of COVID-19 symptoms to hospital admission was lower in non-survivors than survivors (p < 0.05). Respiratory failure, expressed as the ratio of arterial oxygen partial pressure to the fraction of inspired oxygen (P/F), was more severe in non-survivors than survivors (p < 0.0001). Comorbidities were similar in both groups. Among biochemical parameters and cytokines, eGFR and interleukin (IL)-1β were found to be significantly lower (p < 0.05), while LDH, IL-10, and IL-8 were significantly higher in non-survivors than in survivors (p < 0.0005, p < 0.05 and p < 0.005, respectively). Among other parameters, LDH values distribution showed the most significant difference between study groups (p < 0.0001). LASSO feature selection combined with Cox proportional hazards and logistic regression models was applied to identify features distinguishing between survivors and non-survivors. Both approaches highlighted LDH as the strongest predictor, with IL-22 and creatinine emerging in the Cox model, while IL-10, eGFR, and creatinine were influential in the logistic model (AUC = 0.744 for Cox, 0.723 for logistic regression). In a similar manner, we applied linear regression for predicting LDH levels, identifying the P/F ratio as the top predictor, followed by IL-10 and eGFR (NRMSE = 0.128). Collectively, these findings underscore LDH's critical role in mortality prediction, with P/F and IL-10 as key determinants of LDH increases in this Italian COVID-19 cohort.

Tuberculosis (TB) remains a major global health issue, further complicated by the COVID-19 pandemic. This study assesses the clinical outcomes of TB-COVID-19-coinfected patients compared to those with TB disease alone at an Italian infectious disease hospital during the pandemic's first two years.

Retrospective data analysis was conducted on TB patients hospitalized from March 2020 to June 2022. Data included demographics, comorbidities, clinical characteristics, and outcomes. Coinfection was defined as concurrent TB disease and SARS-CoV-2 infection. Statistical methods included Fisher's exact test and Mann-Whitney statistics.

Of 267 TB patients, 25 (9.4%) had concurrent COVID-19 infection. The TB-COVID-19 group showed higher rates of diabetes and cough. Acute respiratory failure was more prevalent in coinfected patients (odds ratio, 5.99), and coinfection was associated with worse outcomes compared to TB alone (odds ratio, 0.15). Despite similar socio-demographic factors, the coexistence of TB and COVID-19 led to exacerbated respiratory failure and increased mortality.

Coinfection with TB and COVID-19 significantly increases the risk of acute respiratory failure and poor outcomes. Clinicians should be aware of this risk, especially in patients with pulmonary involvement. Although specific protocols are unavailable, prompt diagnosis and management may enhance outcomes. Additional research is necessary to understand the long-term effects of TB-COVID-19 coinfection, particularly as COVID-19 becomes endemic.

Viral lower respiratory tract infections (LRTI) are ubiquitous in early life. They are disproportionately severe in infants and toddlers (0-2 years), leading to more than 100,000 hospitalizations in the United States per year. The recent relative resilience to severe Coronavirus disease (COVID-19) observed in young children is surprising. These observations, taken together, underscore current knowledge gaps in the pathogenesis of viral lower respiratory tract diseases in young children and respiratory developmental immunology. Further, early-life respiratory viral infections could have a lasting impact on lung development with potential life-long pulmonary sequelae. Modern molecular methods, including high-resolution spatial and single-cell technologies, in concert with longitudinal observational studies beginning in the prenatal period and continuing into early childhood, promise to elucidate developmental pulmonary and immunophenotypes following early-life viral infections and their impact on trajectories of future respiratory health. In November 2019, under the auspices of a multi-disciplinary Workshop convened by the National Heart Lung Blood Institute and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, experts came together to highlight the challenges of respiratory viral infections, particularly in early childhood, and emphasize the knowledge gaps in immune, virological, developmental, and clinical factors that contribute to disease severity and long-term pulmonary morbidity from viral LRTI in children. We hope that the scientific community will view these challenges in clinical care on pulmonary health trajectories and disease burden not as a window of susceptibility but as a window of opportunity.

The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has profoundly impacted global healthcare systems and spurred extensive research efforts over the past three years. One critical aspect of the disease is the intricate interplay between the virus and the host immune response, particularly the role of inflammatory gene expression in severe COVID-19. While numerous previous studies have explored the role of genetic polymorphisms in COVID-19, research specifically focusing on inflammatory genes and their associations with disease severity remains limited. This review explores the relationship between severe COVID-19 outcomes and genetic polymorphisms within key inflammatory genes. By investigating the impact of genetic variations on immune responses, which include cytokine production and downstream signalling pathways, we aim to provide a comprehensive overview of how genetic polymorphisms contribute to the variability in disease presentation. Through an in-depth analysis of existing literature, we shed light on potential therapeutic targets and personalized approaches that may enhance our understanding of disease pathogenesis and treatment strategies.

SARS-CoV-2 is one of the deadly outbreaks in the present era and still showing its presence around the globe. Researchers have produced various vaccines that offer protection against infection, but we have not yet found a cure for COVID-19. Currently, efforts are focused on identifying effective therapeutic approaches to treat this infectious disease. In the present work, we investigated the main protease (Mpro) protein, a crucial component in SARS-CoV-2 viral particle formation, as a drug target and proposed phytocompounds with therapeutic potential against SARS-CoV-2. Initially, several plant-based resources were exploited to screen around one thousand phytocompounds and further their physiochemical characterization and assessment of drug likeliness were performed using SwissADME. Eventually, we screened 95 compounds based on docking analysis using AutoDock Vina. Five compounds were selected having the highest affinity for Mpro for the analysis of ligand-receptor interaction using molecular dynamic (MD) simulation. Docking and MD simulation studies elucidated the promising stable interaction of selected 5 ligands with Mpro. During MD simulation of 100 ns, Abacopterin F showed the lowest binding energy (-37.13 kcal/mol) with the highest affinity towards Mpro and this compound may be proposed as a lead molecule for further investigation. This interaction may result in modulation of the Mpro activity, consequently leading to hindrance in viral particle formation. However, in-vitro and in-vivo experimental validation would be needed to process the selected phytomolecules as a therapeutic lead against SARS-CoV-2.

The rapidly evolving pandemic of Coronavirus disease 2019 (COVID-19) has presented with clinical severity, which varies from asymptomatic cases to being fatal in others. The need of the hour is to find meaningful and cost-effective COVID-19 biomarkers out of conventional hematological and biochemical parameters, which will help in the early identification of patients with a poor prognosis, leading to timely intervention.

The aim was to analyze different biochemical and hematological parameters in COVID-19 patients and also to study the association of these parameters with disease severity.

Cross-sectional observational study was carried out on 100 COVID-19 patients from a hospital from July to October 2020. Based on saturation of oxygen (SpO2), admitted patients were grouped into mild-moderate (SpO2 ≥90%) and severe groups (SpO2 <90%). Hematological and biochemical parameters were studied in both groups, and association with disease severity was analyzed.

Out of 100 patients, 57 patients were seen in the mild-moderate group (SpO2 ≥90%), while 43 patients (SpO2 <90%) belonged to the severe category. Males were predominant in both mild-moderate and severe groups. Among the hematological parameters, statistically significant higher values of absolute neutrophil count (P = 0.046) and significantly lower absolute lymphocyte count (P = 0.003) values were observed. With regard to biochemical parameters, increased urea and decreased total protein were found in the severe category and this association was statistically significant.

To conclude, early identification and monitoring of hematological and biochemical parameters, especially those associated with higher disease severity, may contribute toward improving disease outcomes.

Introduction  The coronavirus disease 2019 (COVID-19), also referred to as the 2019 novel coronavirus, is caused by a single-stranded positive-sense RNA virus. This infectious agent spreads through respiratory routes, primarily utilizing aerosols. In our study, we shed light on ear, nose, and throat (ENT) manifestations, which can be considered as prognostic clinical biomarkers to reduce forthcoming complications among such critically ill patients. This makes it feasible for researchers to investigate or fetch early diagnosis in such cases with ease without the use of large, extensive hospital-base setups. Objective  To study the otorhinolaryngological (ENT) manifestations in symptomatic COVID-19 patients. Methods  From January to December 2021, a cross-sectional observational study was conducted at the Department of ENT of a tertiary care hospital in central India. All eligible symptomatic COVID-19 patients admitted to this institution during the study period were consecutively enrolled. The Institutional Ethics Committee gave its permission for the project. Results  Out of the total of 1,375 patients, 78% of the patients diagnosed with COVID exhibited symptoms related to the ENT, while the remaining 22% did not display any ENT manifestations. Anosmia (71.2%), sore throat (55.62%), headache (44.3%), and loss of taste (66.3%) were among the most common ENT symptoms. Conclusion  The present study highlights ENT manifestations, which play a crucial role in the early diagnosis of COVID-19 patients, ensuring faster treatment and isolation for better containment of the disease. Symptomatic treatment has shown efficacy, but objective tests are needed to prevent overestimation, understand pathogenesis, and enhance treatment.

The COVID-19 pandemic, caused by SARS-CoV-2, led to 622,119,701 reported cases and 6,546,118 deaths. Most studies on COVID-19 patients in hospitals are from high-income countries, lacking data for developing countries such as Ethiopia.This study assesses clinical features, demographics, and risk factors for in-hospital mortality in Hawassa, Ethiopia. The research cohort comprises 804 cases exhibiting clinical diagnoses and/or radiological findings and indicative of symptoms consistent with COVID-19 at Hawassa University Comprehensive Specialized Hospital from September 24, 2020, to November 26, 2021. In-hospital mortality rate was predicted using Cox regression. The median age was 45 years, with males making up 64.1% of the population. 173 (21.5%) fatalities occurred, with 125 (72.3%) among males. Male patients had higher mortality rates than females. Severe and critical cases were 24% and 21%. 49.1% had at least one comorbidity, with 12.6% having multiple. Common comorbidities were diabetes (15.9%) and hypertension (15.2%). The Cox regression in Ethiopian COVID-19 patients found that factors like gender, advanced age group, disease severity, symptoms upon admission, shortness of breath, sore throat, body weakness, hypertension, diabetes, multiple comorbidities, and prior health facility visits increased the risk of COVID-19 death, similar to high-income nations. However, in Ethiopia, COVID-19 patients were young and economically active. Patients with at least one symptom had reduced death risk. As a conclusion, COVID-19 in Ethiopia mainly affected the younger demographic, particularly economically active individuals. Early detection can reduce the risk of mortality. Prompt medical attention is essential, especially for individuals with comorbidities. Further research needed on diabetes and hypertension management to reduce mortality risk. Risk factors identified at admission play a crucial role in guiding clinical decisions for intensive monitoring and treatment. Broader risk indicators help prioritize patients for allocation of hospital resources, especially in regions with limited medical facilities. Government's focus on timely testing and strict adherence to regulations crucial for reducing economic impact.

COVID-19 serological tests complement the molecular diagnostics and can be used as important tool for serosurveillance and vaccine efficiency evaluation. The aim of this study was to develop and evaluate the diagnostic performance of an in-house ELISA for retrospective serosurveillance of SARS-CoV-2. Total IgG and IgM levels in sera of PCR positive SARS-CoV-2 patients (n = 50) from North Colombo Teaching Hospital were evaluated and compared with sera (n = 50) collected from prepandemic healthy individuals as controls. Patient sample collection was initiated before vaccination programme was widely started within the country. Seropositivity of 94.0% (n = 47/50) was observed for either IgG or IgM anti-SARS-CoV-2 antibodies against receptor binding domain of spike protein or nucleocapsid protein in confirmed cases while none of controls were seropositive. In contrast, the seropositivity of only 48.0% (n = 24/50) was demonstrated with commercial ELISA kits for detection of IgG or IgM. All samples detected seropositive by commercially available kits remained seropositive with either in-house IgM or IgG ELISA. Significant correlations (p ≤ 0.001) were observed between Ab levels and day of sampling from the onset of illness. The overall sensitivity values of the in-house assays were 66.7%, 96.9%, and 100.0% for the first, second, and third week or longer after onset of symptoms for either in-house IgM or IgG ELISAs. Majority of the patients (>80.0%) were seropositive, regardless of age (<60 vs. >60 years), gender (male vs. female), or clinical severity (mild vs. moderate/severe). These data suggest that the developed in-house ELISAs can be applied to assess anti-SARS-CoV-2 antibody levels induced by either natural infections or vaccination.

The crystal structure of a previously reported antimicrobial RuII complex that targets bacterial DNA is presented. Studies utilizing clinical isolates of Gram-negative bacteria that cause catheter-associated urinary tract infection, (CA)UTI, in media that model urine and plasma reveal that good antimicrobial activity is maintained in all conditions tested. Experiments with a series of Staphylococcus aureus clinical isolates show that, unlike the majority of previously reported RuII-based antimicrobial leads, the compound retains its potent activity even in MRSA strains. Furthermore, experiments using bacteria in early exponential growth and at different pHs reveal that the compound also retains its activity across a range of conditions that are relevant to those encountered in clinical settings. Combinatorial studies involving cotreatment with conventional antibiotics or a previously reported analogous dinuclear RuII complex showed no antagonistic effects. In fact, although all combinations show distinct additive antibacterial activity, in one case, this effect approaches synergy. It was found that the Galleria Mellonella model organism infected with a multidrug resistant strain of the ESKAPE pathogen Acinetobacter baumannii could be successfully treated and totally cleared within 48 h after a single dose of the lead complex with no detectable deleterious effect to the host.

Observational studies have suggested that SARS-CoV-2 infection increases the risk of neurological diseases, but it remains unclear whether the association is causal. The present study aims to evaluate the causal relationships between SARS-CoV-2 infections and neurological diseases and analyzes the potential routes of SARS-CoV-2 entry at the cellular level. We performed Mendelian randomization (MR) analysis with CAUSE method to investigate causal relationship of SARS-CoV-2 infections with neurological diseases. Then, we conducted single-cell RNA sequencing (scRNA-seq) analysis to obtain evidence of potential neuroinvasion routes by measuring SARS-CoV-2 receptor expression in specific cell subtypes. Fast gene set enrichment analysis (fGSEA) was further performed to assess the pathogenesis of related diseases. The results showed that the COVID-19 is causally associated with manic (delta_elpd, - 0.1300, Z-score: - 2.4; P = 0.0082) and epilepsy (delta_elpd: - 2.20, Z-score: - 1.80; P = 0.038). However, no significant effects were observed for COVID-19 on other traits. Moreover, there are 23 cell subtypes identified through the scRNA-seq transcriptomics data of epilepsy, and SARS-CoV-2 receptor TTYH2 was found to be specifically expressed in oligodendrocyte and astrocyte cell subtypes. Furthermore, fGSEA analysis showed that the cell subtypes with receptor-specific expression was related to methylation of lysine 27 on histone H3 (H3K27ME3), neuronal system, aging brain, neurogenesis, and neuron projection. In summary, this study shows causal links between SARS-CoV-2 infections and neurological disorders such as epilepsy and manic, supported by MR and scRNA-seq analysis. These results should be considered in further studies and public health measures on COVID-19 and neurological diseases.

COVID-19 presents extrapulmonary manifestations that can aid in the diagnosis. Skin manifestations have been reported but their characteristics are not yet clear. Health professionals need information about its prevalence and main characteristics.

This systematic review followed the PRISMA criteria. The protocol was registered in the PROSPERO (number CRD42020193173). Seven electronic databases and the gray literature were searched independently by two researchers. Observational analytical studies that presented data on the prevalence of skin manifestations in patients aged 19 or older with COVID-19 were included. Prevalence estimates were synthesized through a meta-analysis using random-effects models. Association meta-analysis and comparisons were performed for individual characteristics.

We included 31 studies with 10,934 patients, of which 10,121 tested positive for COVID-19. The general prevalence of skin manifestations was 29% (95% CI: 17.0-43.0; I2: 99%), the most in Africa, with a mean duration between 7 and 9 days and the most frequently affecting feet+hands (75%) and the trunk (71%). Patients with mild/moderate COVID-19 had more of chilblain-like+pernio-like lesions (97%) and inflammatory lesions (86%) than patients with severe or critical COVID-19. Manifestations of vascular origin were only in elderly patients and were significant with the severity of COVID-19 (p = 0).

The global prevalence of skin manifestations is similar to other signs and symptoms of COVID-19. Skin assessment should be considered when investigating and diagnosing COVID-19 in adult and elderly patients.Systematic review registration: PROSPERO, identifier CRD42020193173, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020193173.

The SARS-CoV-2 virus produces severe acute respiratory syndrome. The severity of coronavirus disease 2019 (COVID-19) infection is determined by a number of factors, including inherited ones.

Our goal is to investigate the link between ACE2 G8790A (rs2285666) and AT2R A1675G (rs14035430) gene polymorphisms in COVID-19 patients with and without lung involvement.

A total of 160 COVID-19 patients were divided into 2 groups based on their clinical symptoms: those without lung involvement (control group) and those with lung involvement (infected group). The ACE2 G8790A and AT2R A1675G gene polymorphisms were analyzed using the PCR-RFLP methods.

The GG genotype, G allele of ACE2 G8790A, and GG genotype of AT2R A1675G were significantly higher in the control group and had a protective effect against COVID-19 as well as decreased the development of lung involvement (OR = 0.29, 95% CI = 0.10-0.84; OR = 0.40, 95% CI = 0.22-0.72; and OR = 0.33, 95% CI = 0.14-0.78, respectively). Moreover, we found that the AA genotype, A allele of ACE2 G8790A, and AG genotype of AT2R A1675G increased the risk of COVID-19 in the infected group (OR = 3.50, 95% CI = 1.18-10.3; OR = 2.49, 95% CI = 1.39-4.48; and OR = 3.08, 95% CI = 1.28-7.38, respectively).

These results revealed that a greater frequency of COVID-19 lung involvement in the Turkish population was connected with the AA genotype, the A allele of ACE2 G8790A, and the AG genotype of AT2R A1675G.

Due to the abundance of ACE2 receptors in nervous system cells, the SARS-CoV-2 virus can cause damage to this system. This study aims to examine the prevalence of neurological symptoms in COVID-19 patients. In this cross-sectional observational study, 75 COVID-19 positive patients admitted to Golestan Hospital's neurology department in Ahvaz, Iran, from March 2020 to March 2023, were investigated. Neurological clinical symptoms were categorized into three groups: central nervous system, peripheral, and muscular symptoms. The relevant information was collected from patient files, including medical history, imaging data, and laboratory test results. Statistical analysis was performed using SPSS software, employing the rank-biserial correlation coefficient (r), Mann-Whitney U tests, Phi correlation, Cramer's V, and Kendall's Tau to evaluate the prevalence and significance of neurological symptoms. The most common clinical symptoms observed were hemiparesis, dysarthria, Central Facial Palsy (CFP), ataxia, and nausea, respectively. Among these symptoms, headaches (p = 0.001), seizures (p = 0.024), and nausea (p = 0.046) were found to be more prevalent in younger patients. Additionally, a significant relationship was identified between the level of serum Creatine phosphokinase (CPK) and seizures (p = 0.024), with lower levels observed in individuals with vomiting (p = 0.024), and higher levels observed in individuals with CFP (p = 0.040). This study highlights that patients with COVID-19 may experience serious neurological symptoms. The clinical spectrum and range of neurological symptoms associated with COVID-19 were found to be diverse and extensive, emphasizing the importance of considering this infection as a potential cause of neurological disorders.

We aimed to analyze the frequency of adherence to social distancing and individual protection measures of adult and older populations in two cities in southern Brazil and to characterize the sociodemographic aspects of these individuals.

This cross-sectional, population-based study was conducted in the cities of Rio Grande, RS, and Criciúma, SC, Brazil. The outcome measure was the frequency of adherence to social distancing measures. Fisher's exact test (5% significance) was used to calculate the differences in prevalence according to exposure variables.

Among the 2,170 participants over the age of 18, the prevalence of adherence to social distancing was 18.5%. Adherence was significantly higher among women; older adults; single, divorced, or widowed people with a low educational level; people of lower socioeconomic status; and people affected by multiple chronic diseases.

Approximately one in five respondents adhered to measures of social distancing, and adherence was more prevalent among the risk groups.

COVID-19 has rapidly proliferated around 180 countries, and new cases are reported frequently. No peptide medication has been developed that can reliably block SARS-CoV-2 infection. The investigation focuses on the crucial host receptors angiotensin-converting enzyme 2 (ACE2) , which can bind receptor-binding domain (RBD) on the SARS-CoV-2 spike protein (S). To investigate the inhibitory effects of human Eosinophil Cationic Protein (hECP) and Latarcin-1 (L1)on SARS-CoV-2 infection, we have selected them as research subjects. Further, we ran extensive molecular dynamics simulations to bring the docked peptide-ACE2 complex into its equilibrium state. The outcomes were then evaluated with g_MMPBSA and interaction analysis. We have also considered the Delta and Omicron variants to examine these peptides' inhibitory effects. The experimental findings revealed an enhanced capability of L1 and hECP as SARS-CoV-2 inhibitors, occupying hot spots and numerous key residues in ACE2. These include ASP30, ASP38, GLU35 and GLU75, which significantly inhibit the binding of RBD and ACE2 and are effective against two common variants in a similar manner. In addition, this study can serve as a springboard for future research on SARS-CoV-2 inhibitors.Communicated by Ramaswamy H. Sarma.

There have been many significant scientific advances in the diagnostics and treatment modalities in the field of male infertility in recent decades. Examples of these include assisted reproductive technologies, sperm selection techniques for intracytoplasmic sperm injection, surgical procedures for sperm retrieval, and novel tests of sperm function. However, there is certainly a need for new developments in this field. In this review, we discuss advances in the management of male infertility, such as seminal oxidative stress testing, sperm DNA fragmentation testing, genetic and epigenetic tests, genetic manipulations, artificial intelligence, personalized medicine, and telemedicine. The role of the reproductive urologist will continue to expand in future years to address different topzics related to diverse questions and controversies of pathophysiology, diagnosis, and therapy of male infertility, training researchers and physicians in medical and scientific research in reproductive urology/andrology, and further development of andrology as an independent specialty.

Coronavirus disease 2019 (COVID-19) emerged as a global pandemic during 2019 to 2022. The gold standard method of detecting this disease is reverse transcription-polymerase chain reaction (RT-PCR). However, RT-PCR has a number of shortcomings. Hence, the objective is to propose a cheap and effective method of detecting COVID-19 infection by using machine learning (ML) techniques, which encompasses five basic parameters as an alternative to the costly RT-PCR.

Two machine learning-based predictive models, namely, Artificial Neural Network (ANN) and Multivariate Adaptive Regression Splines (MARS), are designed for predicting COVID-19 infection as a cheaper and simpler alternative to RT-PCR utilizing five basic parameters [i.e., age, total leucocyte count, red blood cell count, platelet count, C-reactive protein (CRP)]. Each of these parameters was studied, and correlation is drawn with COVID-19 diagnosis and progression. These laboratory parameters were evaluated in 171 patients who presented with symptoms suspicious of COVID-19 in a hospital at Kharagpur, India, from April to August 2022. Out of a total of 171 patients, 88 and 83 were found to be COVID-19-negative and COVID-19-positive, respectively.

The accuracies of the predicted class are found to be 97.06% and 91.18% for ANN and MARS, respectively. CRP is found to be the most significant input parameter. Finally, two predictive mathematical equations for each ML model are provided, which can be quite useful to detect the COVID-19 infection easily.

It is expected that the present study will be useful to the medical practitioners for predicting the COVID-19 infection in patients based on only five very basic parameters.

25-hydroxyvitamin D [25(OH)D] is a marker with an important role in regulating the inflammatory response. Low concentrations of this vitamin are often found among the population, correlated with increased risk of respiratory tract infections. The aim of the study is to evaluate the relationship between vitamin D levels and clinical and laboratory markers in children and adolescents hospitalized with and without COVID-19. A retrospective study, including all patients tested for SARS-CoV-2 and having vitamin D measured, was performed. All included hospitalized cases, 78 COVID-19 patients and 162 NonCOVID-19 patients, were divided into subgroups according to their 25(OH)D serum levels (<20 ng/mL-deficiency, 20-30 ng/mL-insufficiency, ≥30 ng/mL-normal or <30 ng/mL, ≥30 ng/mL) and age (≤2 years, >2 years). Vitamin D deficiency and insufficiency increased with age, in both COVID-19 and NonCOVID-19 groups. All symptoms were encountered more frequently in cases of pediatric patients with COVID-19 in comparison with NonCOVID-19 cases. The most frequently encountered symptoms in the COVID-19 group were fever, loss of appetite, and nasal congestion. In the NonCOVID-19 group, serum 25(OH)D concentrations were positively correlated with leukocytes, lymphocytes, and LMR and negatively correlated with neutrophils, NLR, and PLR while no significant correlation was observed in the case of COVID-19 group. Differences between vitamin D status and clinical and laboratory parameters were observed, but their clinical significance should be interpreted with caution. The results of this study may offer further support for future studies exploring the mechanisms of the relationship between vitamin D and clinical and laboratory markers as well as for studies investigating the implications of vitamin D deficiency/supplementation on overall health/clinical outcomes of patients with/without COVID-19.

The aim of this study was to determine the short-term consequences of coronavirus disease 2019 (COVID-19) infection on pulmonary diffusion in patients with severe (but not critical) and moderately severe COVID-19 pneumonia during three months after COVID-19 infection.

A prospective study included 81 patients with an RT-PCR-test confirmed diagnosis of COVID-19 infection treated in the COVID Department of Lung Diseases of University Clinical Hospital Mostar. Inclusion criteria were ≥18-year-old patients, COVID-19 infection confirmed using real-time RT-PCR, radiologically confirmed bilateral COVID-19 pneumonia, and diffusion capacity of the lungs for carbon monoxide (DLCO) one and three months after COVID-19 infection. The pulmonary function was tested using the MasterScreen Body Jaeger (Jaeger Corporation, Omaha, USA) and MasterScreen PFT Jaeger (Jaeger Corporation, Omaha, USA) according to American Thoracic Society guidelines one and three months after COVID-19 infection.

Forced vital capacity significantly increased three months after COVID-19 infection compared to the first-month control (p<0.0005). Also, a statistically significant increase in the FEV1 value (p<0.0005), FEV1%FVC ratio (p<0.005), DLCO/SB (p<0.0005), DLCO/VA value (p<0.0005), and total lung capacity (TLC) (p<0.0005) was observed in all patients.

Our study showed that recovery of DLCO/VA and spirometry parameters was complete after three months, while DLCO/SB was below normal values even after three months. Therefore, one month after the COVID-19 infection patients had partial recovery of lung function, while a significant recovery of lung function was observed three months after the COVID-19 infection.

SARS-CoV-2 causes varied gastrointestinal symptoms. Cirrhosis patients face higher mortality rates from it, especially those with decompensated cirrhosis. This study examines SARS-CoV-2's impact on decompensation in previously compensated cirrhotic patients.

We analyzed the Global Collaborative Network, comprising 98 healthcare organizations across sixteen countries, using TriNetX's deidentified research database. Compensated cirrhosis patients were split into two groups: one with SARS-CoV-2-positive patients and another testing negative. Using a 1:1 propensity score matching model based on baseline characteristics and comorbidities, we created comparable cohorts. We then assessed decompensation, mortality, and GI bleed at 1 and 3 months.

Out of 252,631 identified compensated cirrhosis patients, 27.3% (69,057) tested SARS-CoV-2-positive, while 72.6% (183,574) remained negative. Post PSM, 61,963 patients were in each group. SARS-CoV-2-positive patients showed significantly higher decompensation rates (4.4% vs. 1.9% at 1 month; 6% vs. 2.6% overall). Rates of complications, like ascites, SBP, HE, and HRS, increased notably. Mortality (2.5% vs. 1.7% at 1 month; 3.6% vs. 2.7% at 3 months) and GI bleed (1.3% vs. 0.9% at 1 month; 1.9% vs. 1.2% at 3 months) were also elevated in SARS-CoV-2 patients.

SARS-CoV-2 increases decompensation over 2-fold in compensated cirrhosis patients and raises mortality and increases rates of complications at 1 and 3 months.

To assess association between multimorbidity and use of health services in a population diagnosed with COVID-19, in southern Brazil.

This was a cross-sectional study with data from a longitudinal study carried out in the city of Rio Grande, Rio Grande do Sul, Brazil, in 2021 with all adult individuals diagnosed with COVID-19; descriptive analyses were performed and presented as proportions with 95% confidence intervals (95%CI); Poisson regression was performed and reported as prevalence ratios (PR) in order to assess association between multimorbidity (3 or more diseases) and healthcare service use.

In total, 2,919 participants were included, of which 40.4% had multimorbidity (≥ 2 diseases); the adjusted results showed that individuals with multimorbidity were more likely to use most of the services assessed, PR = 3.21 (95%CI 1.40;7.37), for Emergency Rooms.

Multimorbidity was associated with using different types of health services.

A growing number of clinical examples suggest that coronavirus disease 2019 (COVID-19) appears to have an impact on the treatment of patients with liver cancer compared to the normal population, and the prevalence of COVID-19 is significantly higher in patients with liver cancer. However, this mechanism of action has not been clarified.

To investigate the disease relevance of COVID-19 in liver cancer.

Gene sets for COVID-19 (GSE180226) and liver cancer (GSE87630) were obtained from the Gene Expression Omnibus database. After identifying the common differentially expressed genes (DEGs) of COVID-19 and liver cancer, functional enrichment analysis, protein-protein interaction network construction and screening and analysis of hub genes were performed. Subsequently, the validation of the differential expression of hub genes in the disease was performed and the regulatory network of transcription factors and hub genes was constructed.

Of 518 common DEGs were obtained by screening for functional analysis. Fifteen hub genes including aurora kinase B, cyclin B2, cell division cycle 20, cell division cycle associated 8, nucleolar and spindle associated protein 1, etc., were further identified from DEGs using the "cytoHubba" plugin. Functional enrichment analysis of hub genes showed that these hub genes are associated with P53 signalling pathway regulation, cell cycle and other functions, and they may serve as potential molecular markers for COVID-19 and liver cancer. Finally, we selected 10 of the hub genes for in vitro expression validation in liver cancer cells.

Our study reveals a common pathogenesis of liver cancer and COVID-19. These common pathways and key genes may provide new ideas for further mechanistic studies.

Liver dysfunction is one of the hallmarks of SARS-CoV-2 infection. The mechanism(s) of hepatic injury in SARS-CoV-2 infection remains controversial with some reporting viral replication and cellular injury and others suggesting lack of replication and injury due to non-cytopathogenic etiologies. To investigate this further, we evaluated SARS-CoV-2 replication in immortalized hepatic cell lines and primary hepatocytes, examined whether cell injury was associated with apoptotic pathways, and also determined the effect of the antiviral remdesivir on these processes.

Immortalized hepatocyte cell lines (HepG2 and Huh7.5), as well as primary human hepatocytes, were exposed to SARS-CoV-2 at a multiplicity of infection of 0.1 PFU/mL. Viral replication was evaluated by plaque assays, immunohistochemical staining for the viral spike protein, and caspase-3 expression evaluated with and without exposure to remdesivir.

All hepatocyte cell lines and primary hepatocytes supported active replication of SARS-CoV-2. Significant cytopathic effect was observed by light microscopy, and caspase-3 staining supported activation of apoptotic pathways. Remdesivir abrogated infection in a dose-dependent fashion and was not independently associated with hepatocyte injury.

Hepatocytes appear to be highly permissive of SARS-CoV-2 replication which leads to rapid cell death associated with activation of apoptotic pathways. Viral replication and hepatocytes injury are abrogated with remdesivir. We conclude that active viral replication is most likely a key contributor to liver enzyme abnormalities observed in the setting of acute SARS-CoV-2 infection.

The COVID-19 pandemic has triggered crises in the public health sector that have complex and multifaceted interrelationships with antimicrobial resistance. It is important to evaluate the impact of COVID-19 on microbiological profile, antibiotic and alcohol gel consumption in Intensive Care Units (ICU).

This is a retrospective study undertaken in an infectious disease hospital located in Bahia/Brazil during three periods: from March 2019 to February 2020; from March 2020 to February 2021; and from March 2021 to February 2022. It was evaluated the incidence density of Candida spp and of multidrug-resistant Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species (ESKAPE group) in blood, urine and tracheal secretion isolated 48 h after the patient's admission to the ICU, as well as the use of alcohol gel (in milliliters) and consumption of antibiotics in Defined Daily Dose (DDD) per 1,000 ICU patient-days in the previous year and in the first two years of COVID-19 pandemic.

There was an increase in Candida spp. (5.81, p < 0.001, IRR = 10.47, 95 % CI 2.57‒42.62) and in carbapenem-resistant A. baumannii in clinical cultures (4.71, p < 0.001, IRR = 8.46, 95 % CI 2.07‒34.60), the latter mainly in tracheal secretions (3.18, p= 0.02, IRR = 11.47, 95 % CI 1.58‒83.39). A rise in the consumption of ceftriaxone and piperacillin-tazobactam, along with an increase in the utilization of alcohol gel were observed.

The shifting microbiological profile can be attributed to both the unique characteristics of patients with COVID-19 and the adjustments made to healthcare facilities' structural and work routines. Understanding these changes is essential in addressing the accelerated impact of antimicrobial resistance during the pandemic. Therefore, conducting thorough reviews of institutional practices and routines becomes critical in mitigating the consequences of antimicrobial resistance and its implications for patient care.

The epidemic prompted by COVID-19 continues to spread, causing a great risk to the general population's safety and health. There are still no drugs capable of curing it. Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) are the two other diseases caused by coronaviruses. Traditional Chinese Medicine (TCM) showed benefits in treating SARS and MERS by preventing the disease early, substantially mitigating symptoms, shortening the treatment period, and minimizing risks and adverse reactions caused by hormone therapy. Although several vaccines have been developed and are being used for the treatment of COVID-19, existing vaccines cannot provide complete protection against the virus due to the rapid evolution and mutation of the virus, as mutated viral epitopes evade the vaccine's target and decrease the efficacy of vaccines. Thus, there is a need to develop alternative options. TCM has demonstrated positive effects in the treatment of COVID-19. Previous research studies on TCM showed broad-spectrum antiviral activity, offering a range of possibilities for their potential use against COVID-19. This study shed some light on common TCM used for SARS and MERS outbreaks and their effective use for COVID-19 management. This study provides new insights into COVID-19 drug discovery.

COVID-19 is a global health emergency that requires worldwide collaboration to control its spread. The scientific community is working to understand the different aspects of the post-COVID-19 syndrome and potential treatment strategies. Interestingly, there have been reports of gastrointestinal tract (GIT) involvement in the post-COVID-19 syndrome, suggesting the presence of both severe and mild GIT disorders. The development of the post-COVID-19- GIT syndrome involves various factors, such as impaired GIT mucosa cells, disruptions in the feeling of satiety, reduced blood supply due to the formation of small blood clots, and increased prostaglandin secretion caused by an excessive immune response. GIT symptoms have been observed in around 16% of COVID-19 patients. Other complications include kidney damage and prolonged impairment in the filtration and excretion functions of the glomeruli and tubules. The pathogenesis of post-COVID-19 renal syndrome involves factors, like an overactive immune response, reduced lung perfusion and oxygenation, viral infection in kidney tissues, endothelial dysfunction, and decreased blood volume. Roughly 20% of hospitalized patients experience renal manifestations after recovering from COVID-19.

Mass spectrometry (MS) is a powerful analytical technique that plays a central role in modern protein analysis and the study of proteostasis. In the field of advanced molecular technologies, MS-based proteomics has become a cornerstone that is making a significant impact in the post-genomic era and as precision medicine moves from the research laboratory to clinical practice. The global dissemination of COVID-19 has spurred collective efforts to develop effective diagnostics, vaccines, and therapeutic interventions. This chapter highlights how MS seamlessly integrates with established methods such as RT-PCR and ELISA to improve viral identification and disease progression assessment. In particular, matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) takes the center stage, unraveling intricate details of SARS-CoV-2 proteins, revealing modifications such as glycosylation, and providing insights critical to formulating therapies and assessing prognosis. However, high-throughput analysis of MALDI data presents challenges in manual interpretation, which has driven the development of programmatic pipelines and specialized packages such as MALDIquant. As we move forward, it becomes clear that integrating proteomic data with various omic findings is an effective strategy to gain a comprehensive understanding of the intricate biology of COVID-19 and ultimately develop targeted therapeutic paradigms.

The SARS-CoV-2 pandemic continues to pose a global threat. While its virulence has subsided, it has persisted due to the continual emergence of new mutations. Although many high-risk conditions related to COVID-19 have been identified, the understanding of protective factors remains limited. Intriguingly, epidemiological evidence suggests a low incidence of COVID-19-infected CD patients. The present study explores whether their genetic background, namely, the associated HLA-DQs, offers protection against severe COVID-19 outcomes. We hypothesize that the HLA-DQ2/8 alleles may shield CD patients from SARS-CoV-2 and its subsequent effects, possibly due to memory CD4 T cells primed by previous exposure to human-associated common cold coronaviruses (CCC) and higher affinity to those allele's groove. In this context, we examined potential cross-reactivity between SARS-CoV-2 epitopes and human-associated CCC and assessed the binding affinity (BA) of these epitopes to HLA-DQ2/8. Using computational methods, we analyzed sequence similarity between SARS-CoV-2 and four distinct CCC. Of 924 unique immunodominant 15-mer epitopes with at least 67% identity, 37 exhibited significant BA to HLA-DQ2/8, suggesting a protective effect. We present various mechanisms that might explain the protective role of HLA-DQ2/8 in COVID-19-afflicted CD patients. If substantiated, these insights could enhance our understanding of the gene-environment enigma and viral-host relationship, guiding potential therapeutic innovations against the ongoing SARS-CoV-2 pandemic.

To develop a COVID-19-specific deterioration index for hospitalized patients: the COVID Hospitalized Patient Deterioration Index (COVID-HDI). This index builds on the proprietary Epic Deterioration Index, which was not developed for predicting respiratory deterioration events among patients with COVID-19.

A retrospective observational cohort was used to develop and validate the COVID-HDI model to predict respiratory deterioration or death among hospitalized patients with COVID-19. Deterioration events were defined as death or requiring high-flow oxygen, bilevel positive airway pressure, mechanical ventilation, or intensive-level care within 72 hours of run time. The sample included hospitalized patients with COVID-19 diagnoses or positive tests at Kaiser Permanente Southern California between May 3, 2020, and October 17, 2020.

Machine learning models and 118 candidate predictors were used to generate benchmark performance. Logit regression with least absolute shrinkage and selection operator and physician input were used to finalize the model. Split-sample cross-validation was used to train and test the model.

The area under the receiver operating curve was 0.83. COVID-HDI identifies patients at low risk (negative predictive value [NPV] > 98.5%) and borderline low risk (NPV > 95%) of an event. Of all patients, 74% were identified as being at low or borderline low risk at some point during their hospitalization and could be considered for discharge with or without home monitoring. A high-risk group with a positive predictive value of 51% included 12% of patients. Model performance remained high in a recent cohort of patients.

COVID-HDI is a parsimonious, well-calibrated, and accurate model that may support clinical decision-making around discharge and escalation of care.

The longer ongoing benefits of coronavirus disease 2019 (COVID-19) non-pharmaceutical interventions (NPIs) for sexually transmitted diseases (STDs) in China are still unclear. We aimed to explore the changes in five STDs (AIDS, hepatitis B, hepatitis C, gonorrhoea, and syphilis) before, during, and after the COVID-19 pandemic in mainland China, from 2010 to 2021.

The number of the monthly reported cases of the five STDs were extracted from the website to construct the Joinpoint regression and autoregressive integrated moving average (ARIMA) models. Eight indicators reflecting NPIs were chosen from the COVID-19 Government Response Tracker system. The STDs and eight indicators were used to establish the Multivariable generalised linear model (GLM) to calculate the incidence rate ratios (IRRs).

With the exception of hepatitis B, the other four STDs (AIDS, hepatitis C, gonorrhoea, and syphilis) had a positive average annual percent change over the past 12years. All the ARIMA models had passed the Ljung-Box test, and the predicted data fit well with the data from 2010 to 2019. All five STDs were significantly reduced in 2020 compared with 2019, with significant estimated IRRs ranging from 0.88 to 0.92. In the GLM, using data for the years 2020 (February-December) and 2021, the IRRs were not significant after adjusting for the eight indicators in multivariate analysis.

Our study demonstrated that the incidence of the five STDs decreased rapidly during the COVID-19 pandemic in 2020. A recovery of STDs in 2021 was found to occur compared with that in 2020, but the rising trend disappeared after adjusting for the NPIs. Our study demonstrated that NPIs have an effect on STDs, but the relaxation of NPI usage might lead to a resurgence.

The COVID-19 pandemic has led to unfavorable disruptions to daily living routines by exerting deleterious effects on several aspects of human mental and physical health and quality of life worldwide. The purpose of the current survey is to explore the potential association of COVID-19 infection with multiple sociodemographic, anthropometric, and lifestyle factors of community-dwelling older adults.

This is a cross-sectional survey including 5197 older adults aged over 65 years old from 10 geographically diverse regions of Greece. Relevant questionnaires were used to record study the population sociodemographic factor, while anthropometric parameters were also measured. Validated questionnaires were also applied to assess several lifestyle factors such as depression, anxiety, stress, cognitive status, sleep quality, health-related quality of life, physical activity levels, and Mediterranean diet (MD) adherence.

In multivariate regression analysis, COVID-19 infection was significantly, independently related with urban residence (p = 0.0107), regular smoking (p = 0.0218), overweight status and obesity (p = 0.0036), as well as abdominal obesity (p = 0.0008), higher risk of depression (p = 0.0027), anxiety (p = 0.0045), stress (p = 0.0038), inadequate sleep quality (p = 0.0108), lower physical activity levels (p = 0.0012), reduced MD compliance (p = 0.0009), and poor health-related quality of life (p = 0.0002). In univariate analysis, older adults' age (p = 0.0001), male gender (p = 0.0015), living alone (p = 0.0023), lower educational and economic level (p = 0.0175 and p = 0.0294, respectively), and cognition decline (p = 0.0032) were also related with the presence of COVID-19 infection; however, these associations were considerably attenuated at a non-significant level by adjustment for several confounders in multivariate analysis.

This is one of the few available studies supporting evidence that COVID-19 infection may be associated with diverse sociodemographic, anthropometric, and lifestyle factors in an older adults' population in Greece. This study highlights the strong demand to provide psychological and nutritional counselling and support to older adults diagnosed with COVID-19 infection in order to ameliorate disease symptoms and severity, emphasizing the adaptation of healthy dietary and lifestyle habits as preventing and supplementary therapeutic factors against COVID-19.

COVID-19 can cause severe illness and multiorgan dysfunction. Acute myocardial damage has been detected in a significant portion of patients with COVID-19; therefore, several studies have reported that electrocardiographic findings could be used to evaluate the severalty of COVID-19. However, performing standard ECG for each patient hospitalised with COVID-19 can increase the level of exposure to COVID-19 among medical staff. Therefore, this study aimed to investigate the prognostic value of continuous electrocardiographic monitor findings in patients with COVID-19.

Among 1612 consecutive patients with COVID-19 who were admitted to our hospital between August 2021 and May 2022, we identified 96 (76±4 years) patients who underwent electrocardiographic monitor during hospitalisation. All electrocardiographic monitors were analysed by two independent cardiologists blinded to the clinical data of the patients. The endpoint was defined as the occurrence of all-cause mortality related to COVID-19. The event data were retrospectively gathered from the patients' medical records. A multivariate Cox model was used to assess whether these electrocardiographic monitor findings and clinical data were associated with in-hospital mortality.

During a mean hospitalisation period of 22.8±3.2 days, in-hospital mortality occurred in 17 (18%) patients. Atrial fibrillation (HR: 3.95, 95% CI: 1.39 to 11.21) and lung disease complications (HR: 2.91, 95% CI: 1.06 to 7.98) were significant prognostic factors for death in multivariate analysis. Compared with the non-complicated lung disease and non-atrial fibrillation group, the risk of mortality was significantly higher in the lung disease complication and atrial fibrillation group in the multivariate Cox proportional model (HR: 8.37, 95% CI: 1.69 to 41.30, p=0.009).

The simple method of ECG monitor could adequately detect atrial fibrillation. This study demonstrated that atrial fibrillation complicated with lung disease, could have potential prognostic value among patients with COVID-19.

(1) Background: The COVID-19 pandemic left many intriguing mysteries. Retrospective vulnerability trends tie as strongly to odd demographics as to exposure profiles, genetics, health, or prior medical history. This article documents the importance of nasal microbiome profiles in distinguishing infection rate trends among differentially affected subgroups. (2) Hypothesis: From a detailed literature survey, microbiome profiling experiments, bioinformatics, and molecular simulations, we propose that specific commensal bacterial species in the Pseudomonadales genus confer protection against SARS-CoV-2 infections by expressing proteases that may interfere with the proteolytic priming of the Spike protein. (3) Evidence: Various reports have found elevated Moraxella fractions in the nasal microbiomes of subpopulations with higher resistance to COVID-19 (e.g., adolescents, COVID-19-resistant children, people with strong dietary diversity, and omnivorous canines) and less abundant ones in vulnerable subsets (the elderly, people with narrower diets, carnivorous cats and foxes), along with bioinformatic evidence that Moraxella bacteria express proteases with notable homology to human TMPRSS2. Simulations suggest that these proteases may proteolyze the SARS-CoV-2 spike protein in a manner that interferes with TMPRSS2 priming.

There has been controversy over whether to carry out online medical inquiries and electronic prescription for first-visit patients. While Internet hospitals have become crucial to ensure providing online diagnosis and prescription needs for first-visit COVID-positive patients.

We describe the results and advantages of online medical treatment during the coronavirus disease 2019 (COVID-19) outbreak and analyse the results and advantages of online medical treatment.

Data were collected from the patients who received online medical inquiry services through the COVID-19 Special Section of our Internet hospital. The user demographic characteristics, user behaviour, clinical symptoms and medical records were collected. Baseline data of offline outpatient patients were also collected.

A total of 16 173 online medical inquiries were included. The daily online outpatient service volume reached a peak of 2446 person-times. The median age was 29.92 years (SD 15.59), ranging from 20-39 years (n = 8870, 54.84%). A total of 89.20% (n = 14 426/16 173) patients had epidemic-related symptoms. Moreover, 23.35% of the people were diagnosed as COVID-19-positive through antigen or nucleic acid testing. Furthermore, 86.61% (14 008/16 173) of the patients visited our hospital for the first time or had no offline physical outpatient service record within the past 3 months. The demand for medical inquiries was mainly for drug dispensing, followed by medication guidance and disease diagnosis. And 2.07% (334/16 173) of the patients needed to go to the offline hospital for further treatment.

The service model of the COVID-19 Special Section based on Internet hospitals provided the public with the necessary medical support during the COVID-19 outbreak. It provides a reference for future pandemics or public health emergencies.

Currently, worldwide, the coronavirus disease 2019 (COVID-19) pandemic, which first appeared in Wuhan, China, in December 2019, is capsizing the medical system and turning the attention of the entire healthcare system through the many aspects it presents, both from a pathophysiological and from a semiological view, insufficiently studied aspects. With a high rate of morbidity and mortality, the COVID-19 pandemic was initially observed as a pathology leading to a severe acute respiratory syndrome, but over time gastrointestinal and hepatic manifestations have been reported. The study includes an analysis of 21 patients in the stage of the clinical disease of COVID-19 or in the stage of recovery, hospitalized in the Departments of General Surgery II or Gastroenterology, Emergency Clinical County Hospital of Craiova, Romania, with predominantly digestive symptoms, with the clinical expression of infectious enterocolitis, although stool culture was negative for pathogenic bacteria. The evolution of patients was influenced by the appearance of peritonitis through colonic necrosis or remission of clinical symptoms under empirical therapy.

The crucial role of pathologists in enhancing our understanding of SARS-CoV-2-related disease, from initial pneumonia manifestations to persistent long COVID lung symptoms, is the focus of this review. Pathological explorations have offered unprecedented insights into the early stages of severe COVID-19, shedding light on the interplay between the virus and subsequent complications, thereby shaping clinical approaches. Growing interest is directed to residual lung abnormalities of COVID-19 survivors. Although various radiological studies reported long-lasting pulmonary changes (e.g., ground glass opacities, reticulations, and bronchiectasis), the true incidence of pulmonary fibrosis and corresponding pathological findings in these patients remains largely unknown. There are a few high-impact and knowledgeable works on late complications in COVID-19 survivors, several coming from explant or autopsy cases, and rare cases from in vivo sampling. The study of biopsy samples has further deepened our knowledge of the aftermath of COVID-19 on lung tissue, uncovering alterations at the cellular level and shifts in vascular and epithelial dynamics. Despite the substantial progress made, future research is needed to devise a uniform strategy for interpreting lung biopsies, with a focus on leveraging advanced tools such as molecular and digital pathology techniques, along with artificial intelligence.

This study aimed to investigate the risk of postoperative complications in COVID-19-positive patients undergoing common orthopaedic procedures.

Using the National Surgical Quality Improvement Programme (NSQIP) database, patients who underwent common orthopaedic surgery procedures from 1 January to 31 December 2021 were extracted. Patient preoperative COVID-19 status, demographics, comorbidities, type of surgery, and postoperative complications were analyzed. Propensity score matching was conducted between COVID-19-positive and -negative patients. Multivariable regression was then performed to identify both patient and provider risk factors independently associated with the occurrence of 30-day postoperative adverse events.

Of 194,121 included patients, 740 (0.38%) were identified to be COVID-19-positive. Comparison of comorbidities demonstrated that COVID-19-positive patients had higher rates of diabetes, heart failure, and pulmonary disease. After propensity matching and controlling for all preoperative variables, multivariable analysis found that COVID-19-positive patients were at increased risk of several postoperative complications, including: any adverse event, major adverse event, minor adverse event, death, venous thromboembolism, and pneumonia. COVID-19-positive patients undergoing hip/knee arthroplasty and trauma surgery were at increased risk of 30-day adverse events.

COVID-19-positive patients undergoing orthopaedic surgery had increased odds of many 30-day postoperative complications, with hip/knee arthroplasty and trauma surgery being the most high-risk procedures. These data reinforce prior literature demonstrating increased risk of venous thromboembolic events in the acute postoperative period. Clinicians caring for patients undergoing orthopaedic procedures should be mindful of these increased risks, and attempt to improve patient care during the ongoing global pandemic.

This article reviews various aspects of COVID-19, including its current status, its side-effects, emergency protective measures and strategies from lifestyle to traditional Chinese medicine (TCM) for fighting against the SARS-CoV-2, and its major variants (Delta and Omicron), with the ongoing global COVID-19 pandemic, which include "Carassius auratus lifestyle" for high effective isolation, social and high-tech medical strategies, traditional Chinese herbs "Bark-Flower-Fruit-Grass-Leaf-Nucleolus(seed)-Root (BFFGLNR)", and the combination of Chinese and western medicine. As a choice, little is known whether the Chinese acupuncture is an effective method for confirming and suspecting COVID-19 patients, which include imported and asymptomatic cases. Definitely, acupuncture has been proven effective treatment for the recovery of COVID-19 cases. However, further animal experiments and clinical trials are required to confirm its effects and disclose underlying mechanisms. In conclusion, these emergency protective measures and strategies for COVID-19 will help to effectively combat the SARS-CoV-2 and its variants during the pandemic and post-COVID-19 era.

Pulmonary artery pseudoaneurysm with massive hemoptysis is extremely rare in patients with coronavirus disease 2019 (COVID-19)-induced pneumonia, especially in its late stage. We report a case who presented with massive hemoptysis and pulmonary artery pseudoaneurysm without pulmonary thromboembolism in their ninth week of COVID-19 infection, which was treated by endovascular embolization. The endovascular intervention was technically and clinically successful, with complete hemoptysis cessation after the procedure. This is the first case reported in Vietnam.