Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges

Safety and efficiency of COVID-19 vaccine in North Africa

Background In the absence of a specific treatment for COVID-19, preventive measures have been implemented to control this pandemic and vaccination is one of them. However, it is crucial to verify the safety and efficiency of every vaccine. The aim was to determinate the predictive factors of side effects and reinfection after COVID-19 vaccine. Methods A cross-sectional study was conducted in February 2022 among Tunisians infected with COVID-19 between March 2020 and February 2022, using an online self-administered questionnaire. We conducted univariate and multivariate analyses using binary stepwise logistic regression. Results A total of 1541 was selected from 1911 individuals. Comorbidities affected a quarter of the population (22.3%). Before the initial infection, 39.3% had received full vaccination, and 8.7% had received partial vaccination. By February 2022, the majority (82.9%) had received at least two vaccine doses. The reinfection rate was 30.6%. All vaccines prior to the first infection was identified as a protective factor against reinfection. Inactivated virus vaccinations were less likely to induce adverse effects. Conclusion ach vaccine has its own set of advantages and disadvantages: mRNA-based vaccines had a higher incidence of side effects but all vaccines provided better protection against reinfection.

Proton pump inhibitors and gastrointestinal symptoms among patients with COVID-19 infection

INTRODUCTION

The administration of proton pump inhibitors (PPIs) is anticipated to elevate an individual's susceptibility to enteric infections as a result of altering the gut flora. The influence of PPIs on the clinical manifestation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still uncertain. This study aims to investigate the impact of PPI usage on the clinical manifestation of COVID-19, namely its gastrointestinal symptoms.

METHODS

This is a cross-sectional cohort study involving COVID-19 patients. Patients were interviewed using a predesigned questionnaire that asked about their demographics, clinical manifestations of COVID-19 infection, and the extent and type of PPIs in use. PPI usage was confirmed by reviewing patients' electronic medical records. The primary outcome was to establish any association between the use of PPI and the symptoms and clinical presentation of COVID-19.

RESULTS

Out of a total of 254 participants, 69 (27.2%) were considered PPI users. Patients who were on PPI medications reported a significantly lower rate of myalgia (27.5% vs 51.9%; p = 0.0006) and heartburn (5.7% vs 15.6%; p = 0.03) but had a significantly higher rate of abdominal pain (27.5% vs 13.5%; p = 0.001) and diarrhoea (28.9% vs 14.5%, p = 0.02) when compared to those who were not using PPIs. Patients on PPIs were also shown to have significantly higher odds of developing diarrhoea (OR 2.0, 95% CI: 1.08 to 3.93, p = 0.02) and abdominal pain (OR 2.0, 95% CI: 1.22 to 3.93, p = 0.03), but a lower risk of developing myalgia (OR 0.5, 95% CI: 0.3 to 0.9, p = 0.02) when compared to non-PPI users.

CONCLUSION

This study shows that the use of PPIs could impact COVID-19 clinical presentation toward more gastrointestinal manifestations. Further studies investigating the link between other acid suppression medications and COVID-19 manifestations and severity should be carried out.

Acute macular neuroretinopathy following COVID-19 infection: Three case reports

BACKGROUND

During the Coronavirus disease 2019 (COVID-19) pandemic, a notable increase in acute macular neuroretinopathy (AMN) cases was observed. This study aimed to investigate the potential association between AMN and COVID-19 by examining 3 cases in China.

CASE SUMMARY

The first case involved a 30-year-old man who presented with progressive vision loss following a COVID-19 infection. Optical coherence tomography (OCT) and near-infrared imaging identified hallmark AMN lesions, hyperreflective disruptions within the outer plexiform layer, and hyporeflective anomalies in the ellipsoid zone, leading to an AMN diagnosis. Despite partial visual recovery, OCT angiography (OCTA) revealed persistent microvascular changes, specifically a decreased vascular density in the deep capillary plexus. The second case was a 24-year-old woman who experienced blurred vision and exhibited bilateral cotton-wool spots on fundus examination post-COVID-19. Imaging confirmed the presence of AMN along with paracentral acute middle maculopathy (PAMM). Follow-up OCTA found a progressive reduction in vascular density, indicating ongoing microvascular compromise. The third case was a 28-year-old woman who reported sensations of occlusion in her right eye following a COVID-19 infection. Imaging confirmed both AMN and PAMM, revealing similar decreases of microvascular density on OCTA despite a significant improvement in visual acuity. We noted that all 3 patients had received the COVID-19 vaccine prior to the appearance of symptoms.

CONCLUSION

The findings highlight the diagnostic utility of advanced ocular imaging in detecting AMN in COVID-19 patients and the importance of comprehensive eye examinations.

Computational prediction of phosphorylation sites of SARS-CoV-2 infection using feature fusion and optimization strategies

SARS-CoV-2's global spread has instigated a critical health and economic emergency, impacting countless individuals. Understanding the virus's phosphorylation sites is vital to unravel the molecular intricacies of the infection and subsequent changes in host cellular processes. Several computational methods have been proposed to identify phosphorylation sites, typically focusing on specific residue (S/T) or Y phosphorylation sites. Unfortunately, current predictive tools perform best on these specific residues and may not extend their efficacy to other residues, emphasizing the urgent need for enhanced methodologies. In this study, we developed a novel predictor that integrated all the residues (STY) phosphorylation sites information. We extracted ten different feature descriptors, primarily derived from composition, evolutionary, and position-specific information, and assessed their discriminative power through five classifiers. Our results indicated that Light Gradient Boosting (LGB) showed superior performance, and five descriptors displayed excellent discriminative capabilities. Subsequently, we identified the top two integrated features have high discriminative capability and trained with LGB to develop the final prediction model, LGB-IPs. The proposed approach shows an excellent performance on 10-fold cross-validation with an ACC, MCC, and AUC values of 0.831, 0.662, 0.907, respectively. Notably, these performances are replicated in the independent evaluation. Consequently, our approach may provide valuable insights into the phosphorylation mechanisms in SARS-CoV-2 infection for biomedical researchers.

Characterization of a small molecule inhibitor of the NLRP3 inflammasome and its potential use for acute lung injury

Accumulating data support the key roles of the NLRP3 inflammasome, an essential component of the innate immune system, in human pathophysiology. As an emerging drug target and a potential biomarker for human diseases, small molecule inhibitors of the NLRP3 inflammasome have been actively pursued. Our recent studies identified a small molecule, MS-II-124, as a potent NLRP3 inhibitor and potential imaging probe. In this report, MS-II-124 was further characterized by an unbiased and comprehensive analysis through Eurofins BioMAP Diversity PLUS panel that contains 12 human primary cell-based systems. The analysis revealed promising activities of MS-II-124 on inflammation and immune functions, further supporting the roles of the NLRP3 inflammasome in these model systems. Further studies of MS-II-124 in mouse model of acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) and NLRP3 knockout mice demonstrated its target engagement, efficacy to suppress inflammatory cytokines and infiltration of immune cells in the lung tissues. In summary, the results support the therapeutic potential of MS-II-124 as a NLRP3 inhibitor and warrant future studies of this compound and its analogs to develop therapeutics for ALI/ARDS.

A review on hazards and treatment methods of released antibiotics in hospitals wastewater during the COVID-19 pandemic

Drugs and related goods are widely used in order to promote public health and the quality of life. One of the most serious environmental challenges affecting public health is the ongoing presence of antibiotics in the effluents generated by pharmaceutical industries and hospitals. Antibiotics cannot be entirely removed from wastewater using the traditional wastewater treatment methods. Unmetabolized antibiotics generated by humans can be found in urban and livestock effluent. The antibiotic present in effluent contributes to issues with resistance to antibiotics and the creation of superbugs. Over the recent 2 years, the coronavirus disease 2019 pandemic has substantially boosted hospital waste volume. In this situation, a detailed literature review was conducted to highlight the harmful effects of untreated hospital waste and outline the best approaches to manage it. Approximately 50 to 70% of the emerging contaminants prevalent in the hospital wastewater can be removed using traditional treatment strategies. This paper emphasizes the numerous treatment approaches for effectively eliminating emerging contaminants and antibiotics from hospital wastewater and provides an overview of global hospital wastewater legislation and guidelines on hospital wastewater administration. Around 90% of ECs might be eliminated by biological or physical treatment techniques when used in conjunction with modern oxidation techniques. According to this research, hybrid methods are the best approach for removing antibiotics and ECs from hospital wastewater. The document outlines the many features of effective hospital waste management and might be helpful during and after the coronavirus disease 2019 outbreak, when waste creation on all hospitals throughout the globe has considerably increased.

The influence of charge on the translation of the sandwich ELISA approach to electronic biosensors

The sandwich approach, whereby an antigen is captured by a primary antibody and detected by a secondary antibody, is commonly used to improve the selectivity and sensitivity of enzyme-linked immunosorbent assays (ELISA). This work details the experimental factors that impact the reliable translation of this sandwich approach to two commonly used electronic biosensors, namely potentiometric and impedimetric biosensors. Previous studies have demonstrated the Debye screening limitations associated with potentiometric biosensors. However, the correlation between the ionic strength of the measurement buffer and the impedimetric biosensing response has not been studied. Potentiometric biosensors were able to successfully detect the primary antibody and the target antigen by decreasing the ionic strength of the phosphate buffered saline (PBS) measurement buffer from 1x PBS to 0.01x PBS. However, the secondary antibody used for the selective signal amplification was not reliably detected. Therefore, the sandwich approach is not viable for potentiometric sensing at biologically relevant ionic strengths, due to the Debye screening effect. Alternatively, decreasing the ionic strength of the measurement buffer allowed for the successful translation of the sandwich approach to impedimetric biosensors. Impedimetric biosensing literature typically attributes a measured increase in the charge transfer resistance to an increase in the thickness of the immobilized biolayer. However, this work highlights the influence that both the charge and thickness of the biolayer have on the transport of the redox couple. Decreasing the ionic strength of the measurement buffer lowers the molecular charge screening effect. This permits the transport of a positively charged redox probe through a negatively charged immobilized biolayer via migration and diffusion. The results demonstrate that the use of a buffer at a lower, yet biologically relevant ionic strength allows for the successful translation of the sandwich approach to impedimetric biosensors.

Use of dried blood spots in the detection of coronavirus disease 2019 (COVID-19): A systematic review

INTRODUCTION

COVID-19 disease continues to be a global health concern. The current protocol for detecting SARS-CoV-2 requires healthcare professionals to draw blood from patients. Recent studies showed that dried blood spot (DBS) is a valuable sampling procedure that can collect a low blood volume without the need for the presence of medical practitioners. This study synthesized the available literature on using DBS as a blood collection tool to diagnose COVID-19 disease.

MATERIALS AND METHODS

A comprehensive search utilizing OVID, CINAHL, and Scopus databases was done from inception to March 2023. Five reviewers collected, extracted and organized the study data.

RESULTS

This systematic review included 57 articles. DBS was commonly prepared by finger pricking. Most studies showed more favorable results and longer sample stability (more than 1080 days) with lower storage temperature conditions for the DBS. DBS samples were mostly used for serological assays for COVID-19 disease detection. ELISA was the most used detection method (43.66 %). Diagnostic performance of laboratory tests for COVID-19 using DBS sample showed high sensitivity of up to 100 % for immunoassay tests and 100 % specificity in agglutination, PCR, and DELFIA assays.

CONCLUSION

DBS sampling coupled with serological testing can be an alternative method for collecting blood and detecting COVID-19 disease. These tests using DBS samples showed excellent diagnostic performance across various geographic locations and demographics.

An in-depth analysis of COVID-19 treatment: Present situation and prospects

Coronavirus disease 2019 (COVID-19) the most contagious infection caused by the unique type of coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), produced a global pandemic that wreaked havoc on the health-care system, resulting in high morbidity and mortality. Several methods were implemented to tackle the virus, including the repurposing of existing medications and the development of vaccinations. The purpose of this article is to provide a complete summary of the current state and future possibilities for COVID-19 therapies. We describe the many treatment classes, such as antivirals, immunomodulators, and monoclonal antibodies, that have been repurposed or developed to treat COVID-19. We also looked at the clinical evidence for these treatments, including findings from observational studies and randomized-controlled clinical trials, and highlighted the problems and limitations of the available evidence. Furthermore, we reviewed existing clinical trials and prospective COVID-19 therapeutic options, such as novel medication candidates and combination therapies. Finally, we discussed the long-term consequences of COVID-19 and the importance of ongoing research into the development of viable treatments. This review will help physicians, researchers, and policymakers to understand the prevention and mitigation of COVID-19.

In Vitro and In Vivo Studies on a Mononuclear Ruthenium Complex Reveals It is a Highly Effective, Fast-Acting, Broad-Spectrum Antimicrobial in Physiologically Relevant Conditions

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.

Complications of new-onset atrial fibrillation in critically ill COVID-19 patients admitted to the intensive care unit (ICU): a meta-analysis

BACKGROUND

COVID-19 infections can result in severe acute respiratory distress syndrome (ARDS) requiring admission to the intensive care unit (ICU). Cardiovascular manifestation or exacerbation of cardiovascular diseases could be another complication. Cardiac arrhythmias including New-Onset Atrial Fibrillation (NOAF), have been observed in hospitalized patients with COVID-19 infections. In this analysis, we aimed to systematically compare the complications associated with NOAF in critically ill COVID-19 patients admitted to the ICU.

METHODS

MEDLINE, EMBASE, Web of Science, the Cochrane database, http://www.

CLINICALTRIALS

gov , Google Scholar and Mendeley were searched for relevant publications based on COVID-19 patients with NOAF admitted to the ICU. Complications including in-hospital mortality, ICU mortality, patients requiring mechanical ventilation, acute myocardial infarction, acute kidney injury, renal replacement therapy and pulmonary embolism were assessed. This is a meta-analysis and the analytical tool which was used was the RevMan software version 5.4. Risk ratios (RR) and 95% confidence intervals (CIs) were used to represent the data post analysis.

RESULTS

In critically ill COVID-19 patients with NOAF admitted to the ICU, the risks of ICU mortality (RR: 1.39, 95% CI: 1.07 - 1.80; P = 0.01), in-hospital mortality (RR: 1.56, 95% CI: 1.20 - 2.04; P = 0.001), patients requiring mechanical ventilation (RR: 1.32, 95% CI: 1.04 - 1.66; P = 0.02) were significantly higher when compared to the control group without AF. Acute myocardial infarction (RR: 1.54, 95% CI: 1.31 - 1.81; P = 0.00001), the risk for acute kidney injury (RR: 1.31, 95% CI: 1.11 - 1.55; P = 0.002) and patients requiring renal replacement therapy (RR: 1.83, 95% CI: 1.60 - 2.09; P = 0.00001) were also significantly higher in patients with NOAF.

CONCLUSIONS

Critically ill COVID-19 patients with NOAF admitted to the ICU were at significantly higher risks of developing complications and death compared to similar patients without AF.

Sudden sensorineural hearing loss during the Covid-19 pandemic; experience of a tertiary referral center

OBJECTIVE

This study aimed to highlight the differences in the clinical management and treatment of sudden sensorineural hearing loss (SSNHL) due to the impact of the Coronavirus Disease 2019 (COVID-19) pandemic.

METHODS

This study compared patients diagnosed with SSNHL between March 2020 and March 2022, following the first reported case of COVID-19 in our country, with patients diagnosed between March 2018 and March 2020. The evaluation encompassed demographic characteristics, comorbidities, other ear-related complaints, hearing loss thresholds at each frequency, medical treatment administered, treatment duration, and post-treatment follow-up audiograms.

RESULTS

The demographic characteristics and comorbidities of patients before and during the pandemic showed similar distribution. There was no significant difference in the duration from the onset of symptoms to hospital admission during the pandemic compared to the previous period. When evaluating the treatment responses of hospitalized and treated patients according to Siegel's criteria during the pandemic, a similar trend to the pre-pandemic period was observed. It was noted that the use of systemic steroids and hyperbaric oxygen therapy decreased during the pandemic period, while the use of antivirals increased.

CONCLUSIONS

In our study conducted as a reference center, we want to emphasize that no clear data indicating a relationship between COVID-19 infection and NHL. Also, we believe that COVID-19 infection does not affect the course and prognosis of SSNHL.

SARS-CoV-2-Infection in People Addicted to Illegal Drugs - Is There a Protective Effect of Opioid Maintenance Treatment?

INTRODUCTION

People addicted to illegal drugs were discussed as a risk group for SARS-CoV-2 infections, with increased susceptibility and a severe course of infection.

METHODS

In this study, the frequency of SARS-CoV-2 infections of drug-dependent persons admitted to inpatient detoxification treatment in five psychiatric hospitals was determined by implementing routine polymerase chain reaction (PCR)-testing at admission (9/2020) up to one year. Main substance-related diagnosis, comorbid respiratory disease, housing situation, and current opioid maintenance treatment (OMT) were documented. An age-matched control group of psychiatric inpatients without dependence from illegal drugs was established.

RESULTS

Data from 1675 patients (male 79.5%; mean age 39.5 years; opioid dependence 81.5% homelessness; 2.4%; chronic respiratory disease 6.3%) were included. Out of 1365 patients dependent on opioids, 50.2% were currently in OMT. Six (3 female; mean age 40.3 years) patients tested positive for SARS-CoV-2 by PCR (0.36%), and none showed symptoms of COVID-19. All six were opioid dependent, 5 currently not in OMT. In the control group, 11 out of 1811 inpatients tested positive (0.61%).

DISCUSSION

The rate of SARS-CoV-2-infections in persons with dependence on illegal drugs was not increased compared to a control group of psychiatric patients. OMT is presumably a protective factor, e. g. in the participating cities, OMT facilities offered an easy access to vaccination programs. In contrast, drug addicts in the USA were severely affected by the pandemic. Differences between countries might partially be explained by social factors such as the higher availability of OMT in Germany and a much lower frequency of homelessness.

The effect of oral antiviral therapy for COVID-19 in managing non-hospitalized patients with lung cancer

BACKGROUNDS

The effectiveness of oral antiviral therapy including nirmatrelvir plus ritonavir and molnupiravir in managing COVID-19 among individuals with pre-existing lung cancer was unclear. Therefore, this study was conducted to evaluate the usefulness of antiviral agents in the management of COVID-19 among patients with lung cancer.

METHODS

Utilizing data from the TriNetX - a global health research network, a retrospective cohort study was conducted involving 2484 patients diagnosed with both lung cancer and COVID-19. Propensity score matching (PSM) was employed to create well-balanced cohorts. The study assessed the primary outcome of all-cause hospitalization or mortality within a 30-day follow-up.

RESULTS

After PSM, the oral antiviral group exhibited a significantly lower risk of the primary composite outcome compared to the control group (6.1 % vs. 9.9 %; HR: 0.60; 95 % CI: 0.45-0.80). This association was consistent across various subgroups according to age, sex, vaccine status, type of oral antiviral agent, and lung cancer characteristics. Additionally, the oral antiviral group showed a lower risk of all-cause hospitalization (HR: 0.73; 95 % CI: 0.54-0.99) and a significantly lower risk of mortality (HR: 0.16; 95 % CI: 0.06-0.41).

CONCLUSION

The study suggests a favorable impact of oral antiviral therapy on the outcomes of COVID-19 in individuals with lung cancer and support the potential utility of oral antiviral agents in improving outcomes in this vulnerable population.

Acute Abdomen as a Clinical Presentation of COVID-19-Associated Multisystem Inflammatory Syndrome in Children

Background

On December 2019, a novel coronavirus disease (COVID-19) spread worldwide and became a pandemic. Multisystem inflammatory syndrome in children (MIS-C) due to cytokine release syndrome following COVID-19 presents with various manifestations. We hypothesize that one of the rare manifestations is acute abdomen. Case Presentation. In this case series, eight cases (five girls and three boys) of gastrointestinal (GI) involvement and acute abdomen were reported to be associated with the cytokine storm due to COVID-19 infection. All patients were of Iranian nationality (Caucasian ethnicity), with a mean age of 8.9 years (range 3.5-14). They all presented with fever and acute abdominal pain. Additionally, maculopapular rash and edema of the extremities were common presentations. Free fluid on abdominal ultrasound or computerized tomography (CT) scan was observed in all patients. All cases tested positive for COVID-19. In six cases, laparotomy or abdominal surgery was performed for a diagnosis of acute abdomen, but appendicitis was confirmed in only one case. None of the cases presented with phlegmon. Elevated serum lipase and amylase levels were noted in two cases. Seven patients received corticosteroid pulse therapy. Clinical symptoms improved after one or two doses, and all patients were discharged after 4 weeks of follow-up with no mortality or morbidity.

Conclusion

Patients experiencing unexplained acute abdominal pain along with fever, skin rash, and peripheral edema, who had a history of COVID-19 infection prior to or during the episode of acute abdomen symptoms, should be considered to have MIS-C. Furthermore, methylprednisolone pulse therapy could be a safe treatment option, reducing hospitalization duration in this patient population.

Evaluation of a commercial Real Time PCR for clinical samples without RNA extraction for detection of SARS-CoV-2

RT-PCR is the gold standard for diagnosis of COVID-19. All RT-PCR kits are based on RNA extraction from the clinical sample. There was a sudden increase in demand of these kits, both RNA extraction and COVID-19 RT-PCR kits during the pandemic. This sudden spurt in global demand created a situation of shortage of consumables, especially the RNA extraction kits. Hence, this study was carried out to evaluate and compare COVID-19 RT-PCR without RNA extraction step using buffer R3. Sensitivity, specificity and accuracy of RT-PCR kit without RNA extraction were 89.16 %, 100% and 89.6% respectively. This approach saved more than 50 % time compared to the RT-PCR kit with RNA extraction approach allowing enhanced daily sample processing capability. RT-PCR kit without RNA extraction help in managing a greater number of samples, reduces cost and turnaround time.

Dynamic impacts of public health events on price fluctuations in broiler industry Chain in China: Evidence from COVID-19 epidemic

Using weekly data from January 2020 to December 2021 on the prices of various links in the Chinese broiler industry chain and the COVID-19 epidemic, we employed a time-varying parametric vector auto-regressive (TVP-VAR) model to investigate the dynamic effects of public health events on price fluctuations of upstream, midstream, and downstream products in the Chinese broiler industry chain. Our findings showed that the COVID-19 epidemic had different effects on the prices of various broiler products, both in direction and magnitude, at different lags and time intervals. Chicken and live chicken prices were impacted the most, followed by broiler chick prices, while broiler feed prices were impacted the least. The epidemic constantly impacted broiler chick and chicken prices, while its effect on live chicken prices was initially negative but turned positive afterwards. Additionally, the impact of the COVID-19 epidemic on broiler product prices consistently increased with more extended lag periods. The impulse responses at different epidemic time points were heterogeneous. With the results of this study, policy recommendations can be suggested to relevant government departments to optimize the prevention and control measures for public health emergencies and ensure price stability in the broiler industry.

Assessment of remdesivir and its nucleoside metabolite in beagle dogs and healthy humans by liquid chromatography coupled with triple quadrupole mass spectrometry

The aim of this study was to assess the pharmacokinetics of the existing remdesivir intravenous formulation (100 mg dose) against the newly developed oral formulation (20 mg dose) for remdesivir and its active nucleoside metabolite (GS-441524) in beagle dogs followed by healthy human volunteers. A quantification method for remdesivir and its active nucleoside metabolite (GS-441524) in beagle dog and human plasma has been developed and validated using liquid chromatography coupled to triple quadrupole mass spectrometry detection. The analytical methods for beagle dogs and human differ in the calibration curve range, plasma matrix, processing volume, reconstitution volume and injection volume; however all other parameters were same in both methods. A simple protein precipitation extraction was carried out using acetonitrile containing the internal standard remdesivir D5. Remdesivir and GS-441524 were separated on an Endurus C-18P, 100 × 4.6 mm, 3 μm column and detected using a mass spectrometer with electrospray ionization in positive ion mode. The ion transitions used were m/z 603.1 → m/z 200.0 for remdesivir, m/z 292.0 → m/z 202.2 for GS-441524 and m/z 608.2 → m/z 205.1 for remdesivir D5. The calibration curve results were linear in beagle dog plasma (2.0-2,000.8 ng/ml range for remdesivir and 2.0-1,500.4 ng/ml for GS-441524) and human plasma (30.0-4,503.9 ng/ml range for remdesivir and 2.0-200.4 ng/ml for GS-441524). The recovery was >90% in beagle dog and human plasma. These methods were successfully used to determine the pharmacokinetic parameters of the intravenous injection and subcutaneous tablets dosage forms in beagle dogs and healthy humans.

Enhanced Point-of-Care SARS-CoV-2 Detection: Integrating RT-LAMP with Microscanning

The COVID-19 pandemic has highlighted the urgent need for rapid and accurate diagnostic methods for various infectious diseases, including SARS-CoV-2. Traditional RT-PCR methods, while highly sensitive and specific, require complex equipment and skilled personnel. In response, we developed an integrated RT-LAMP-MS assay, which combines rapid reverse transcription loop-mediated isothermal amplification (RT-LAMP) with microscanning (MS) technology for detecting SARS-CoV-2. The assay uses magnesium pyrophosphate formed during LAMP amplification as a visual marker, allowing direct observation via microscopy without the need for additional chemical indicators or probes. For the SARS-CoV-2/IC RT-LAMP-MS assay, the sample-LAMP reagent mixture was added to a microchip with SARS-CoV-2 primers and internal controls, then incubated at 62 °C for 30 min in a heat block, followed by amplification analysis using a microscanner. In clinical tests, the RT-LAMP-MS assay showed 99% sensitivity and 100% specificity, which is identical to the RT-LAMP results and comparable to the commercial AllplexTM SARS-CoV-2 assay results. Additionally, the limit of detection (LOD) was determined to be 10-1 PFU mL-1 (dynamic range: 103~10-1 PFU mL-1). The assay delivers results in 30 min, uses low-cost equipment, and demonstrates 100% reproducibility in repeated tests, making it suitable for point-of-care use in resource-limited settings.

From chaos to clarity: The scientometric breakthrough in COVID-19 research

BACKGROUND

The COVID-19 pandemic paralyzed the world for over three years, generating unprecedented social changes in recent human history.

AIMS

We aimed to scientometrically summarize a global and temporal overview of publications on COVID-19 in the two worst years of the pandemic and its progression in early 2022, after the start of vaccination.

METHODS

Using the Web of Science database, this review covered the period from late 2019 to March 2022 and included all publications identified using the following terms: "SARS-CoV-2", "COVID-19", "Coronavirus Disease 19", and "2019-nCoV". We retrieved 268,904 publications, with evident global spreading, demonstrating that the pandemic triggered worldwide scientific research efforts.

RESULTS

Within the dataset, 195 countries have published about Covid-19. In initial publications, a solid trend in genotyping, sequencing, and detection of the virus was evident; however, in the development of the pandemic, new knowledge and research focus gained relevance, with continental solid trends, revealed by the keywords sustainability (eastern Europe); material sciences (Asia); public and mental health (Africa); information sciences (western Europe); education (Latin America). It identified high-impact research, mainly on diagnosis and vaccines, but also equally essential topics for returning life to the new normal, such as mental health, education, and remote work. The world experienced a highly transmissible infection that proved how fragile we are regarding organization and society.

CONCLUSIONS

It is necessary to learn from such an event and establish a protocol of actions and measures to be taken and avoided in a health emergency, aiming to act differently from the chaos experienced during the pandemic. Following the One Health approach, humanity must be aware of the need for more sustainable attitudes, given the inseparability of human beings from the environment.

Hospitalized COVID-19 Patients with Urinary Tract Infection in Iran: Candida Species Distribution and Antifungal Susceptibility Patterns

Candida species, typically part of the human skin and mucous membrane flora, can cause opportunistic fungal infections, notably urinary tract infections (UTIs), which are on the rise among hospitalized COVID-19 patients. The lack of understanding of UTIs in this population, coupled with the emergence of multidrug-resistant strains, poses significant challenges for effective treatment and further investigations. In this study, urine samples were collected from 70 COVID-19 patients with UTIs in sterile containers for microbiology examination. After microscopic observation, the isolates were identified both by phenotypic and molecular techniques such as multiplex PCR. Antifungal susceptibility testing (AFST) against fluconazole (Flu), itraconazole (Itr), and amphotericin B (AMB) was performed according to CLSI M27/S4 standard methods, with the frequency of isolates including Candida albicans (n = 20, 51.3%), Candida tropicalis (n = 15, 38.4%), Nakaseomyces glabrata (previously Candida glabrata) (n = 2, 5.1%), Pichia kudriavzevii (previously Candida krusei), and Candida parapsilosis (n = 1, 2.5%). All isolates of C. albicans, C. tropicalis, C. glabrata, and C. parapsilosis were sensitive to amphotericin B, while C. kruzei was resistant to AMB. Around 70% of C. albicans isolates were sensitive to Flu; 20% of C. tropicalis were resistant to itraconazole, while 33% were resistant to fluconazole. C. albicans and C. tropicalis were the main causes of candiduria in infected cases and both Flu and AMB showed good results in AFST in these species. Performing drug susceptibility testing for clinical isolates of Candida spp. provided guidance for appropriate management and control, and timely antifungal treatment.

Effectiveness of molnupiravir for treating COVID-19 in patients with psychiatric disorders

Objectives

This study investigated the clinical effectiveness of molnupiravir for treating non-hospitalized COVID-19 patients with pre-existing psychiatric disorder.

Methods

This retrospective cohort study used the TriNetX research network to identify patients with psychiatric disorder who experienced non-hospitalized COVID-19 between 1 January 2022, and 1 May 2023. The propensity score matching (PSM) method was used to match patients receiving molnupiravir (treated group) with those who did not (untreated group). The outcome included short-term outcomes - the composite of all-cause hospitalization or death within 30 days and the risk of post-COVID-19 conditions up to a year after COVID-19 diagnosis.

Results

Two groups of 9,421 patients, each with balanced baseline characteristics, were identified using the PSM method. During the 30-day follow-up, treated group was associated with a reduced risk of hospitalization or mortality compared to untreated group (HR, 0.760; 95% CI, 0.665-0.869). Compared to untreated group, treated group also exhibited a decreased risk of experiencing post-COVID-19 conditions, including chest/throat pain (HR, 0.615; 95% CI, 0.543-0.696), abnormal breathing (HR, 0.761; 95% CI, 0.687-0.884), abdominal symptoms (HR, 0.748; 95% CI, 0.674-0.831), fatigue (HR, 0.718; 95% CI, 0.638-0.808), headache (HR, 0.753; 95% CI, 0.665-0.852), cognitive symptoms (HR, 0.769; 95% CI, 0.630-0.940), myalgia (HR, 0.647; 95% CI, 0.530-0.789), cough (HR, 0.867; 95% CI, 0.770-0.978), and palpitation (HR, 0.641; 95% CI, 0.534-0.770) during the 1-year follow-up.

Conclusion

Molnupiravir could be associated with lower rates of all-cause hospitalization or death and also lower risk of post-COVID-19 condition among non-hospitalized COVID-19 patients with pre-existing psychiatric disorder.

Effectiveness of telerehabilitation in patients with post-COVID-19: a systematic review and meta-analysis of randomised controlled trials

OBJECTIVE

To assess the effects of telerehabilitation on clinical symptoms, physical function, psychological function and quality of life (QoL) in patients with post-COVID-19.

DESIGN

Systematic review and meta-analysis of randomised controlled trials (RCTs).

DATA SOURCES

PubMed, Web of Science, Embase and Cochrane Library were searched for publications from 1 January 2020 to 17 April 2024.

ELIGIBILITY CRITERIA

RCTs investigating the effects of telerehabilitation in patients with post-COVID-19 were included. The outcomes of interest encompassed clinical symptoms, physical function, psychological function and QoL. Only studies reported in English were included.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently extracted data and evaluated the risk of bias. Statistical analysis was conducted using Review Manager V.5.3, employing mean difference (MD) with a 95% CI, and the corresponding P value was used to ascertain the treatment effect between groups. Heterogeneity was quantified using the I2 statistic. The quality of evidence was assessed by GRADE.

RESULTS

16 RCTs (n=1129) were included in this systematic review, 15 of which (n=1095, 16 comparisons) were included in the meta-analysis. The primary pooled analysis demonstrated that, compared with no rehabilitation or usual care, telerehabilitation can improve physical function (measured by 30 s sit-to-stand test [6 RCTs, n=310, MD=1.58 stands, 95% CI 0.50 to 2.66; p=0.004]; 6 min walking distance [6 RCTs, n=324, MD=76.90 m, 95% CI 49.47 to 104.33; p<0.00001]; and physical function from the 36-item short-form health survey [5 RCTs, n=380, MD=6.12 units, 95% CI 2.85 to 9.38; p=0.0002]). However, the pooled results did not indicate significant improvements in clinical symptoms, pulmonary function, psychological function or QoL. The quality of the evidence was graded as low for physical function and Hospital Anxiety and Depression Scale-anxiety and very low for other assessed outcomes. The overall treatment completion rate was 78.26%, with no reports of severe adverse events in any included trials.

CONCLUSIONS

Despite the lack of significant improvements in certain variables, telerehabilitation could be an effective and safe option for enhancing physical function in patients with post-COVID-19. It is advisable to conduct further well-designed trials to continue in-depth exploration of this topic.

STUDY REGISTRATION

PROSPERO, CRD42023404647.

COVID-19 is associated with changes in brain function and structure: A multimodal meta-analysis of neuroimaging studies

The actual role of coronavirus disease 2019 (COVID-19) in brain damage has been increasingly reported, necessitating a meta-analysis to collate and summarize the inconsistent findings from functional imaging and voxel-based morphometry (VBM) studies. A comprehensive voxel-wise meta-analysis of the whole brain was conducted to identify alterations in functional activity and gray matter volume (GMV) between COVID-19 patients and healthy controls (HCs) by using Seed-based d Mapping software. We included 15 functional imaging studies (484 patients with COVID-19, 534 HCs) and 9 VBM studies (449 patients with COVID-19, 388 HCs) in the analysis. Overall, patients with COVID-19 exhibited decreased functional activity in the right superior temporal gyrus (STG) (extending to the right middle and inferior temporal gyrus, insula, and temporal pole [TP]), left insula, right orbitofrontal cortex (OFC) (extending to the right olfactory cortex), and left cerebellum compared to HCs. For VBM, patients with COVID-19, relative to HCs, showed decreased GMV in the bilateral anterior cingulate cortex/medial prefrontal cortex (extending to the bilateral OFC), and left cerebellum, and increased GMV in the bilateral amygdala (extending to the bilateral hippocampus, STG, TP, MTG, and right striatum). Moreover, overlapping analysis revealed that patients with COVID-19 exhibited both decreased functional activity and increased GMV in the right TP (extending to the right STG). The multimodal meta-analysis suggests that brain changes of function and structure in the temporal lobe, OFC and cerebellum, and functional or structural alterations in the insula and the limbic system in COVID-19. These findings contribute to a better understanding of the pathophysiology of brain alterations in COVID-19. SIGNIFICANCE STATEMENT: This first large-scale multimodal meta-analysis collates existing neuroimaging studies and provides voxel-wise functional and structural whole-brain abnormalities in COVID-19. Findings of this meta-analysis provide valuable insights into the dynamic brain changes (from infection to recovery) and offer further explanations for the pathophysiological basis of brain alterations in COVID-19.

Neuropsychiatric symptoms of patients two years after experiencing severe COVID-19: A mixed observational study

BACKGROUND

The impact of SARS-CoV-2 infection (COVID-19) on mental health has not been extensively studied in the medium and long term. This study assessed how clinical, biological, and social factors affect mental health in patients who recovered from severe COVID-19. The evaluation was done 90 days after hospital discharge and followed up at 12 and 24 months.

METHODS

A retrospective-prospective cohort mixed observational study was conducted on patients over 18 years of age who required hospitalization in Internal Medicine or ICU for severe COVID-19 pneumonia during 2020 and 2021. Demographic information, clinical variables, and data for the scales were obtained from electronic medical records and telephone interviews. For comparisons of the different variables in each clinical variable (insomnia, depression, anxiety), the Student's t-test for independent samples has been used (normal distribution); otherwise, the Mann-Whitney test will be used. All tests and intervals will be performed with a confidence level of 95. Fisher's exact or Pearson's Chi-square test has been used as appropriate for qualitative variables.

RESULTS

201 patients were recruited. 37.3% presented insomnia, 22.4% anxiety, and 21.4% depressive symptoms. A direct association was established between female sex and depressive symptoms. Psychotropic history, fatigue, and C-reactive protein levels (CRP) were correlated with depression. Anosmia and ageusia, CRP, cognitive symptoms, and dyspnea predicted insomnia. Sex, orotracheal intubation (OTI), pain, fatigue, mental health history, and academic level were independent predictors of anxiety. High percentages of depressive, anxiety, and insomnia symptoms were detected in the second month after discharge and persisted at 12 and 24 months. The fatigue variable maintained a significant relationship with depressive symptoms at 2, 12 and 24 months. A possible limitation could be recall bias in retrospective data collection.

CONCLUSIONS

This is a novel study to follow up on mental health for two years in patients with severe COVID-19. Clinical, biological, and psychosocial variables could be predictors of depressive symptoms, anxiety, and insomnia. The psychiatric symptoms persisted throughout the 2-year follow-up. These findings are critical for the follow-up of these patients and open the possibility of further studies in the medium and long term.

Efficacy and Safety of Azvudine in Patients With COVID-19 in China: A Meta-Analysis of Observational Studies

BACKGROUND

Azvudine (FNC) is a novel small molecule antiviral drug for treating COVID-19 that is available only on the Chinese market. Despite being recommended for treating COVID-19 by the Chinese guidelines, its efficacy and safety are still unclear. This study aimed to evaluate the protective effect of FNC on COVID-19 outcomes and its safety.

METHODS

We followed the PRISMA 2020 guidelines and searched the PubMed, Embase, Web of Science, Scopus, and China National Knowledge Infrastructure (CNKI) databases to evaluate studies on the effectiveness of FNC in treating COVID-19 in China, focusing on mortality and overall outcomes. Additionally, its impact on the length of hospital stay (LOHS), time to first nucleic acid negative conversion (T-FNANC), and adverse events was evaluated. The inclusion criterion was that the studies were published from July 2021 to April 10, 2024. This study uses the ROBINS-I tool to assess bias risk and employs the GRADE approach to evaluate the certainty of the evidence.

RESULTS

The meta-analysis included 24 retrospective studies involving a total of 11 830 patients. Low-certainty evidence revealed no significant difference in mortality (OR = 0.91, 95% CI: 0.76-1.08) or LOHS (WMD = -0.24, 95% CI: -0.83 to 0.35) between FNC and Paxlovid in COVID-19 patients. Low-certainty evidence shows that the T-FNANC was longer (WMD = 1.95, 95% CI: 0.36-3.53). Compared with the Paxlovid group, low-certainty evidence shows the FNC group exhibited a worse composite outcome (OR = 0.77, 95% CI: 0.63-0.95) and fewer adverse events (OR = 0.63, 95% CI: 0.46-0.85). Compared with supportive treatment, low certainty shows FNC significantly reduced the mortality rate in COVID-19 patients (OR = 0.61, 95% CI: 0.51-0.74) and decreased the composite outcome (OR = 0.67, 95% CI: 0.50-0.91), and very low certainty evidence shows significantly decreased the T-FNANC (WMD = -4.62, 95% CI: -8.08 to -1.15). However, in very low certainty, there was no significant difference in LOHS (WMD = -0.70, 95% CI: -3.32 to 1.91) or adverse events (OR = 1.97, 95% CI: 0.48-8.17).

CONCLUSIONS

FNC appears to be a safe and potentially effective treatment for COVID-19 in China, but further research with larger, high-quality studies is necessary to confirm these findings. Due to the certainty of the evidence and the specific context of the studies conducted in China, caution should be exercised when considering whether the results are applicable worldwide.

TRIAL REGISTRATION

PROSPERO number: CRD42024520565.

How the COVID-19 pandemic affected infant vaccination trends in rural and urban communities in Ibadan, Nigeria: a cross-sectional study

OBJECTIVES

This study compared the infant vaccination trends a year before and a year after the onset of the COVID-19 pandemic in selected urban and rural communities in Ibadan, Nigeria.

DESIGN

This was a cross-sectional study in which data were extracted from infant vaccination records.

SETTING

Two rural and three urban vaccination centres in primary health clinics at Ibadan Southeast and Olúyòlé local government areas, respectively.

PARTICIPANTS

Infant vaccination records 1 year before and 1 year after the onset of the COVID-19 pandemic (March 2019-February 2020 and March 2020-February 2021, respectively).

OUTCOME MEASURES

Timeliness of vaccination (vaccination taken within 2 weeks of appointment) and vaccination completion according to the Nigerian routine infant vaccination schedule.

RESULTS

2000 vaccination records were included in the study (1013 (50.6%) for male infants). 840 (42.0%) of the records were from the rural immunisation clinics. There were 1194 (59.7%) and 806 (40.3%) records from before and after the onset of the COVID-19 pandemic, respectively. Before the pandemic, birth dose vaccines were timelier among infants from urban communities, while vaccines given at 6 weeks were timelier in the rural areas. Following the onset of the pandemic, the rural communities had a higher proportion of infants with timelier and complete vaccination except for the birth dose vaccines. Overall, there was higher vaccination completion before the pandemic, and this was higher in the rural compared with the urban communities both before (54.8% vs 11.7%) and after (23.6% vs 1.0%) the onset of the pandemic.

CONCLUSIONS

A decline in infant vaccination uptake, timeliness and completion persisted 1 year after the COVID-19 pandemic onset, and urban communities were more affected. More efforts are required to ensure optimal infant vaccination, especially in urban communities, to forestall outbreaks of vaccine-preventable diseases.

Dynamic Assessment of Hematological Parameters as Predictive Biomarkers for Disease Severity and Prognosis in COVID-19 Patients: A Longitudinal Study

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to substantial morbidity and mortality worldwide. Hematological abnormalities are common in COVID-19 patients and play a significant role in disease pathogenesis and prognosis.

OBJECTIVE

This study aimed to longitudinally monitor hematological parameters in COVID-19 patients and investigate their predictive value for disease severity and prognosis.

METHODS

A prospective longitudinal design was employed to enroll 121 adult patients diagnosed with COVID-19 based on positive SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR) test results. Baseline demographic and clinical data were collected, and hematological parameters, including complete blood count (CBC) indices, inflammatory markers, and coagulation profiles, were measured at predefined time points during hospitalization or outpatient visits. Follow-up assessments were conducted longitudinally to monitor the disease progression and clinical outcomes.

RESULTS

This study revealed dynamic changes in hematological parameters over the course of COVID-19. Hemoglobin levels showed a decrease from baseline (mean ± SD: 12.5 ± 1.8 g/dL) to the peak of illness (10.2 ± 2.0 g/dL), indicating the development of anemia during the acute phase of infection. White blood cell counts demonstrated an initial increase (8.9 ± 3.2 × 10^9/L) followed by a decline (5.4 ± 1.9 × 10^9/L) as the disease progressed, suggesting an early inflammatory response followed by immune suppression. The platelet counts fluctuated, with a decrease observed during the acute phase (190 ± 50 × 10^9/L) and subsequent recovery during convalescence (240 ± 60 × 10^9/L). Inflammatory markers, such as C-reactive protein and interleukin-6, were elevated, peaking at 120 and 150 pg/mL, respectively, indicating systemic inflammation. Coagulation profiles showed abnormalities suggestive of COVID-19-associated coagulopathy, including elevated D-dimer levels (mean ± SD: 3.5 ± 1.2 µg/mL) and prolonged prothrombin time (15.8 ± 2.5 seconds). Longitudinal analysis of hematological parameters revealed associations between disease severity and clinical outcomes, with certain abnormalities correlating with an increased risk of complications and a poor prognosis.

CONCLUSION

This study highlights the importance of monitoring hematological parameters in COVID-19 patients for risk stratification, prognostication, and guiding therapeutic interventions.

Machine learning algorithms for predicting COVID-19 mortality in Ethiopia

BACKGROUND

Coronavirus disease 2019 (COVID-19), a global public health crisis, continues to pose challenges despite preventive measures. The daily rise in COVID-19 cases is concerning, and the testing process is both time-consuming and costly. While several models have been created to predict mortality in COVID-19 patients, only a few have shown sufficient accuracy. Machine learning algorithms offer a promising approach to data-driven prediction of clinical outcomes, surpassing traditional statistical modeling. Leveraging machine learning (ML) algorithms could potentially provide a solution for predicting mortality in hospitalized COVID-19 patients in Ethiopia. Therefore, the aim of this study is to develop and validate machine-learning models for accurately predicting mortality in COVID-19 hospitalized patients in Ethiopia.

METHODS

Our study involved analyzing electronic medical records of COVID-19 patients who were admitted to public hospitals in Ethiopia. Specifically, we developed seven different machine learning models to predict COVID-19 patient mortality. These models included J48 decision tree, random forest (RF), k-nearest neighborhood (k-NN), multi-layer perceptron (MLP), Naïve Bayes (NB), eXtreme gradient boosting (XGBoost), and logistic regression (LR). We then compared the performance of these models using data from a cohort of 696 patients through statistical analysis. To evaluate the effectiveness of the models, we utilized metrics derived from the confusion matrix such as sensitivity, specificity, precision, and receiver operating characteristic (ROC).

RESULTS

The study included a total of 696 patients, with a higher number of females (440 patients, accounting for 63.2%) compared to males. The median age of the participants was 35.0 years old, with an interquartile range of 18-79. After conducting different feature selection procedures, 23 features were examined, and identified as predictors of mortality, and it was determined that gender, Intensive care unit (ICU) admission, and alcohol drinking/addiction were the top three predictors of COVID-19 mortality. On the other hand, loss of smell, loss of taste, and hypertension were identified as the three lowest predictors of COVID-19 mortality. The experimental results revealed that the k-nearest neighbor (k-NN) algorithm outperformed than other machine learning algorithms, achieving an accuracy of 95.25%, sensitivity of 95.30%, precision of 92.7%, specificity of 93.30%, F1 score 93.98% and a receiver operating characteristic (ROC) score of 96.90%. These findings highlight the effectiveness of the k-NN algorithm in predicting COVID-19 outcomes based on the selected features.

CONCLUSION

Our study has developed an innovative model that utilizes hospital data to accurately predict the mortality risk of COVID-19 patients. The main objective of this model is to prioritize early treatment for high-risk patients and optimize strained healthcare systems during the ongoing pandemic. By integrating machine learning with comprehensive hospital databases, our model effectively classifies patients' mortality risk, enabling targeted medical interventions and improved resource management. Among the various methods tested, the K-nearest neighbors (KNN) algorithm demonstrated the highest accuracy, allowing for early identification of high-risk patients. Through KNN feature identification, we identified 23 predictors that significantly contribute to predicting COVID-19 mortality. The top five predictors are gender (female), intensive care unit (ICU) admission, alcohol drinking, smoking, and symptoms of headache and chills. This advancement holds great promise in enhancing healthcare outcomes and decision-making during the pandemic. By providing services and prioritizing patients based on the identified predictors, healthcare facilities and providers can improve the chances of survival for individuals. This model provides valuable insights that can guide healthcare professionals in allocating resources and delivering appropriate care to those at highest risk.

Physico-chemical characterization of acid base disorders in patients with COVID-19: A cohort study

BACKGROUND

Acid-base imbalance has been poorly described in patients with coronavirus disease 2019 (COVID-19). Study by the quantitative acid-base approach may be able to account for minor changes in ion distribution that may have been overlooked using traditional acid-base analysis techniques. In a cohort of critically ill COVID-19 patients, we looked for an association between metabolic acidosis surrogates and worse clinical outcomes, such as mortality, renal dialysis, and length of hospital stay.

AIM

To describe the acid-base disorders of critically ill COVID-19 patients using Stewart's approach, associating its variables with poor outcomes.

METHODS

This study pertained to a retrospective cohort comprised of adult patients who experienced an intensive care unit stay exceeding 4 days and who were diagnosed with severe acute respiratory syndrome coronavirus 2 infection through a positive polymerase chain reaction analysis of a nasal swab and typical pulmonary involvement observed in chest computed tomography scan. Laboratory and clinical data were obtained from electronic records. Categorical variables were compared using Fisher's exact test. Continuous data were presented as median and interquartile range. The Mann-Whitney U test was used for comparisons.

RESULTS

In total, 211 patients were analyzed. The mortality rate was 13.7%. Overall, 149 patients (70.6%) presented with alkalosis, 28 patients (13.3%) had acidosis, and the remaining 34 patients (16.2%) had a normal arterial pondus hydrogenii. Of those presenting with acidosis, most had a low apparent strong ion difference (SID) (20 patients, 9.5%). Within the group with alkalosis, 128 patients (61.0%) had respiratory origin. The non-survivors were older, had more comorbidities, and had higher Charlson's and simplified acute physiology score 3. We did not find severe acid-base imbalance in this population. The analyzed Stewart's variables (effective SID, apparent SID, and strong ion gap and the effect of albumin, lactate, phosphorus, and chloride) were not different between the groups.

CONCLUSION

Alkalemia is prevalent in COVID-19 patients. Although we did not find an association between acid-base variables and mortality, the use of Stewart's methodology may provide insights into this severe disease.

The impact of COVID-19 on microRNA and CD marker expression in AML patients

Acute myeloid leukaemia (AML) is an aggressive leukaemia characterised by uncontrolled blast cell proliferation. miRNAs and Clusters of Differentiation (CD) molecules play essential roles in AML progression. This study aims to investigate the effect of COVID-19 on the expression of circulating miRNA and CD molecules in AML. This cross-sectional study recruited 32 AML patients and 20 controls. Blood samples were collected and analysed using molecular cytogenetic, miRNA/mRNA expression, and flow cytometry techniques. The expression of miRNAs varied significantly between patients with AML and control individuals. The co-expression of these miRNAs was higher (P < 0.05), indicating that the presence of one miRNA led to increased expression of other miRNAs. A differential correlation was observed between miRNAs and CD markers. Additionally, miRNA 16, miRNA 21, and miRNA 221 showed significant downregulation (P < 0.05 and P < 0.01, respectively) in AML patients with COVID-19 infection compared to those without a disease. Interestingly, this study identified a higher expression level (P < 0.01) of miRNA 137 as a novel biomarker for AML patients. Moreover, the expression of miRNA 137 showed a high correlation (P < 0.05) with most of the CD markers examined in this study and FISH features data. Furthermore, a strong correlation (P < 0.01) was observed between CD markers and miRNA among AML patients with positive and negative COVID-19 infection. These data demonstrated that COVID-19 contributed to increased expression of microRNAs in AML patients. MicroRNA 137 was identified as a novel microRNA that exhibited significant differences between patients and healthy individuals, highlighting its role in AML pathogenesis.

Mechanism, structural and functional insights into nidovirus-induced double-membrane vesicles

During infection, positive-stranded RNA causes a rearrangement of the host cell membrane, resulting in specialized membrane structure formation aiding viral genome replication. Double-membrane vesicles (DMVs), typical structures produced by virus-induced membrane rearrangements, are platforms for viral replication. Nidoviruses, one of the most complex positive-strand RNA viruses, have the ability to infect not only mammals and a few birds but also invertebrates. Nidoviruses possess a distinctive replication mechanism, wherein their nonstructural proteins (nsps) play a crucial role in DMV biogenesis. With the participation of host factors related to autophagy and lipid synthesis pathways, several viral nsps hijack the membrane rearrangement process of host endoplasmic reticulum (ER), Golgi apparatus, and other organelles to induce DMV formation. An understanding of the mechanisms of DMV formation and its structure and function in the infectious cycle of nidovirus may be essential for the development of new and effective antiviral strategies in the future.

The impact of COVID-19 on "biological aging"

The global impact of the SARS-CoV-2 pandemic has been unprecedented, posing a significant public health challenge. Chronological age has been identified as a key determinant for severe outcomes associated with SARS-CoV-2 infection. Epigenetic age acceleration has previously been observed in various diseases including human immunodeficiency virus (HIV), Cytomegalovirus (CMV), cardiovascular diseases, and cancer. However, a comprehensive review of this topic is still missing in the field. In this review, we explore and summarize the research work focusing on biological aging markers, i.e., epigenetic age and telomere attrition in COVID-19 patients. From the reviewed articles, we identified a consistent pattern of epigenetic age dysregulation and shortened telomere length, revealing the impact of COVID-19 on epigenetic aging and telomere attrition.

New insights into the pathogenesis of SARS-CoV-2 during and after the COVID-19 pandemic

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the respiratory distress condition known as COVID-19. This disease broadly affects several physiological systems, including the gastrointestinal, renal, and central nervous (CNS) systems, significantly influencing the patient's overall quality of life. Additionally, numerous risk factors have been suggested, including gender, body weight, age, metabolic status, renal health, preexisting cardiomyopathies, and inflammatory conditions. Despite advances in understanding the genome and pathophysiological ramifications of COVID-19, its precise origins remain elusive. SARS-CoV-2 interacts with a receptor-binding domain within angiotensin-converting enzyme 2 (ACE2). This receptor is expressed in various organs of different species, including humans, with different abundance. Although COVID-19 has multiorgan manifestations, the main pathologies occur in the lung, including pulmonary fibrosis, respiratory failure, pulmonary embolism, and secondary bacterial pneumonia. In the post-COVID-19 period, different sequelae may occur, which may have various causes, including the direct action of the virus, alteration of the immune response, and metabolic alterations during infection, among others. Recognizing the serious adverse health effects associated with COVID-19, it becomes imperative to comprehensively elucidate and discuss the existing evidence surrounding this viral infection, including those related to the pathophysiological effects of the disease and the subsequent consequences. This review aims to contribute to a comprehensive understanding of the impact of COVID-19 and its long-term effects on human health.

Critical Evaluation of Global Infection Prevention and Control Guidelines for Dentistry Published during the First 2 Years of the COVID-19 Pandemic

Objectives

The outbreak of the coronavirus disease (COVID-19) encouraged immediate actions by governments and healthcare associations across the world to flatten the curve and prevent health systems from being overburdened. As dentistry comprises aerosol-generating procedures (AGPs), which could increase the risk of infection, various guidelines were issued for dental services which focused on infection prevention and control (IPC) measures for COVID-19. This systematic review focuses on dental IPC guidelines, with the aim of comparing these guidelines against a gold standard.

Method

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist was employed. Predefined inclusion and exclusion criteria were constructed. Information sources comprised Google Scholar, PubMed, and a manual search from December 2019 to December 2021. The Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument was used. Consensus scoring was applied for all guidelines.

Results

A total 61 guidelines were included in the review. The UK national guideline was used as a gold standard as it ranked the highest AGREE score (75 out of 84) and thus was established for comparison with each of the included guidelines. Overall, 40% of the included guidelines had a high consensus score in relation to the UK national guideline.

Conclusion

This systematic review highlighted the variability in content and quality of advice given by different organizations in response to the COVID-19 pandemic in their efforts to reduce SARS-CoV-2 transmission in dentistry. Establishing a single worldwide fast-acting dental organization would ensure that high-quality standardized guidance is available, to enhance health equality and worldwide dental clinical standards.

Cancer Care During the COVID-19 Pandemic: A Retrospective Study From a Najran Oncology Center

Background The COVID-19 pandemic significantly impacted healthcare systems globally, with cancer patients representing a particularly vulnerable group. This study aims to evaluate the influence of COVID-19 on cancer, focusing on infection rates, types of care, therapy adjustments, and factors associated with COVID-19 infection. Materials and methods This single-center retrospective analysis included adult cancer patients who underwent anticancer therapy at King Khalid Hospital in Najran, Saudi Arabia, from December 20, 2020, to January 23, 2022. Data on patient and cancer characteristics, COVID-19 specifics, treatment delays, outcomes, and factors associated with COVID-19 were collected and analyzed. Results A total of 257 chemotherapy recipients were interviewed. The mean age was 52.6 ± 14.4 years, with 44 (17.1%) over 65 years old. Females comprised 160 (62.3%) of the patients. The most common malignancies were gastrointestinal (71, 27.6%), breast (70, 27.2%), and hematological (50, 19.5%). Metastasis was present in 116 patients (45.1%). Common comorbidities included diabetes (68, 26.5%) and hypertension (55, 21.4%). Most patients (226, 87.9%) were vaccinated against COVID-19. COVID-19 tested positive in 22 patients (8.6%), with a lower infection rate in vaccinated patients (7 vs. 15, p < 0.001). Most cases were mild (18, 81.8%), with fever (19, 7.4%) and cough and fatigue (17, 6.6%) being the most common symptoms. The median time to resume treatment post-infection was 30 days. Factors associated with higher infection rates included diabetes (OR: 4.73, 95% CI: 1.94-12.03, p = 0.001), coronary artery disease (OR: 4.13, 95% CI: 1.07-13.30, p = 0.049), chronic lung disease (OR: 15.58, 95% CI: 5.37-45.79, p < 0.001), chronic liver disease (OR: 7.64, 95% CI: 2.38-22.98, p < 0.001), and multiple comorbidities (OR: 2.04, 95% CI: 1.46-2.90, p < 0.001), cancer patients who received chemotherapy (OR: 1.02, 95% CI: 0.12-12.79, p = 0.027), and immunotherapy (OR: 3.37, 95% CI:1.27-8.43, p = 0.012). Conclusion The incidence of COVID-19 in cancer patients is proportional to the prevalence in the general population of similar geographic areas. Diabetes, coronary artery disease, chronic lung disease, chronic liver disease, receiving chemotherapy or immunotherapy, and multiple comorbidities were associated with higher COVID-19 infection rates.

Mucormycosis during COVID-19 era: A retrospective assessment

In a retrospective view, this review examines the impact of mucormycosis on health workers and researchers during the COVID era. The diagnostic and treatment challenges arising from unestablished underlying pathology and limited case studies add strain to healthcare systems. Mucormycosis, caused by environmental molds, poses a significant threat to COVID-19 patients, particularly those with comorbidities and compromised immune systems. Due to a variety of infectious Mucorales causes and regionally related risk factors, the disease's incidence is rising globally. Data on mucormycosis remains scarce in many countries, highlighting the urgent need for more extensive research on its epidemiology and prevalence. This review explores the associations between COVID-19 disease and mucormycosis pathology, shedding light on potential future diagnostic techniques based on the fungal agent's biochemical components. Medications used in ICUs and for life support in ventilated patients have been reported, revealing the challenge of managing this dual onslaught. To develop more effective treatment strategies, it is crucial to identify novel pharmacological targets through "pragmatic" multicenter trials and registries. In the absence of positive mycology culture data, early clinical detection, prompt treatment, and tissue biopsy are essential to confirm the specific morphologic features of the fungal agent. This review delves into the history, pathogens, and pathogenesis of mucormycosis, its opportunistic nature in COVID or immunocompromised individuals, and the latest advancements in therapeutics. Additionally, it offers a forward-looking perspective on potential pharmacological targets for future drug development.

Design, synthesis, docking, and antiviral evaluation of some novel pyrimidinone-based α-aminophosphonates as potent H1N1 and HCoV-229E inhibitors

Dialkyl/aryl aminophosphonates, 3a-g and 4a-e were synthesized using the LiClO4 catalyzed Kabachnic Fields-type reaction straightforwardly and efficiently. The synthesized phosphonates structures were characterized using elemental analyses, FT-IR, 1H NMR, 13C NMR, and MS spectroscopy. The new compounds were subjected to in-silico molecular docking simulations to evaluate their potential inhibition against Influenza A Neuraminidase and RNA-dependent RNA polymerase of human coronavirus 229E. Subsequently, the compounds were further tested in vitro using a cytopathic inhibition assay to assess their antiviral activity against both human Influenza (H1N1) and human coronavirus (HCoV-229E). Diphenyl ((2-(5-cyano-6-oxo-4-phenyl-1,6-dihydropyrimidin-2-yl) hydrazinyl) (furan-2-yl) methyl) phosphonate (3f) and diethyl ((2-(5-cyano-6-oxo-4-phenyl-1,6-dihydropyrimidin-2-yl) hydrazinyl) (1,5-dimethyl-3-oxo-2-phenyl-2,3-dihydro-1H-pyrazol-4-yl) methyl) phosphonate (4e) were demonstrated direct inhibition activity against Influenza A Neuraminidase and RNA-dependent RNA polymerase. This was supported by their highly favorable binding energies in-silico, with top-ranked values of -12.5 kcal/mol and -14.2 kcal/mol for compound (3f), and -13.5 kcal/mol and -9.89 kcal/mol for compound (4e). Moreover, they also displayed notable antiviral efficacy in vitro against both viruses. These compounds demonstrated significant antiviral activity, as evidenced by selectivity indices (SI) of 101.7 and 51.8, respectively against H1N1, and 24.5 and 5.1 against HCoV-229E, respectively.

Challenges of mesenchymal stem cells in the clinical treatment of COVID-19

The 2019 coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has brought an enormous public health burden to the global society. The duration of the epidemic, the number of infected people, and the widespread of the epidemic are extremely rare in modern society. In the initial stage of infection, people generally show fever, cough, and dyspnea, which can lead to pneumonia, acute respiratory syndrome, kidney failure, and even death in severe cases. The strong infectivity and pathogenicity of SARS-CoV-2 make it more urgent to find an effective treatment. Mesenchymal stem cells (MSCs) are a kind of pluripotent stem cells with the potential for self-renewal and multi-directional differentiation. They are widely used in clinical experiments because of their low immunogenicity and immunomodulatory function. Mesenchymal stem cell-derived exosomes (MSC-Exo) can play a physiological role similar to that of stem cells. Since the COVID-19 pandemic, a series of clinical trials based on MSC therapy have been carried out. The results show that MSCs are safe and can significantly improve patients' respiratory function and prognosis of COVID-19. Here, the effects of MSCs and MSC-Exo in the treatment of COVID-19 are reviewed, and the clinical challenges that may be faced in the future are clarified.

Multiple-criteria analysis of the employee satisfaction level at healthcare facilities during the pandemic

Due to the pandemic, the entire staff employed in healthcare institutions were directly exposed to longer working hours and unstable working conditions. Based on these facts, the research in this article aims to find out more about employees' satisfaction with working conditions and management's engagement in preserving their health and safety. Thus, a multiple-criteria decision analysis (MCDA) model based on the analyzed attitudes and opinions of employees was formed to reveal the interdependencies between working conditions resulting from the undertaken management activities, employee satisfaction and workplace safety. The results show that both nurses and drivers were least satisfied with working conditions during the pandemic while indicating those workplaces to be the most endangered. Additionally, the proposed model can be successfully applied to any type of organization to identify insufficiently effective management activities, address them accordingly and thereby improve the level of employee satisfaction.

SARS-CoV-2 Spike Protein 1 Causes Aggregation of α-Synuclein via Microglia-Induced Inflammation and Production of Mitochondrial ROS: Potential Therapeutic Applications of Metformin

Abnormal aggregation of α-synuclein is the hallmark of neurodegenerative diseases, classified as α-synucleinopathies, primarily occurring sporadically. Their onset is associated with an interaction between genetic susceptibility and environmental factors such as neurotoxins, oxidative stress, inflammation, and viral infections. Recently, evidence has suggested an association between neurological complications in long COVID (sometimes referred to as 'post-acute sequelae of COVID-19') and α-synucleinopathies, but its underlying mechanisms are not completely understood. In this study, we first showed that SARS-CoV-2 Spike protein 1 (S1) induces α-synuclein aggregation associated with activation of microglial cells in the rodent model. In vitro, we demonstrated that S1 increases aggregation of α-synuclein in BE(2)M-17 dopaminergic neurons via BV-2 microglia-mediated inflammatory responses. We also identified that S1 directly affects aggregation of α-synuclein in dopaminergic neurons through increasing mitochondrial ROS, though only under conditions of sufficient α-Syn accumulation. In addition, we observed a synergistic effect between S1 and the neurotoxin MPP+ S1 treatment. Combined with a low dose of MPP+, it boosted α-synuclein aggregation and mitochondrial ROS production compared to S1 or the MPP+ treatment group. Furthermore, we evaluated the therapeutic effects of metformin. The treatment of metformin suppressed the S1-induced inflammatory response and α-synucleinopathy. Our findings demonstrate that S1 promotes α-synucleinopathy via both microglia-mediated inflammation and mitochondrial ROS, and they provide pathological insights, as well as a foundation for the clinical management of α-synucleinopathies and the onset of neurological symptoms after the COVID-19 outbreak.

Exploring Cannabinoids as Potential Inhibitors of SARS-CoV-2 Papain-like Protease: Insights from Computational Analysis and Molecular Dynamics Simulations

The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has triggered a global COVID-19 pandemic, challenging healthcare systems worldwide. Effective therapeutic strategies against this novel coronavirus remain limited, underscoring the urgent need for innovative approaches. The present research investigates the potential of cannabis compounds as therapeutic agents against SARS-CoV-2 through their interaction with the virus's papain-like protease (PLpro) protein, a crucial element in viral replication and immune evasion. Computational methods, including molecular docking and molecular dynamics (MD) simulations, were employed to screen cannabis compounds against PLpro and analyze their binding mechanisms and interaction patterns. The results showed cannabinoids with binding affinities ranging from -6.1 kcal/mol to -4.6 kcal/mol, forming interactions with PLpro. Notably, Cannabigerolic and Cannabidiolic acids exhibited strong binding contacts with critical residues in PLpro's active region, indicating their potential as viral replication inhibitors. MD simulations revealed the dynamic behavior of cannabinoid-PLpro complexes, highlighting stable binding conformations and conformational changes over time. These findings shed light on the mechanisms underlying cannabis interaction with SARS-CoV-2 PLpro, aiding in the rational design of antiviral therapies. Future research will focus on experimental validation, optimizing binding affinity and selectivity, and preclinical assessments to develop effective treatments against COVID-19.

Distribution of SARS-CoV-2 Genomes in Wastewaters and the Associated Potential Infection Risk for Plant Workers in Typical Urban and Peri-Urban Communities of the Buffalo City Region, South Africa

The presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater has been reported in several studies and similar research can be used as a proxy for an early warning of potential Coronavirus disease 2019 (COVID-19) outbreaks. This study focused on profiling the incidence of SARS-CoV-2 genomes in wastewater samples obtained from facilities located in the Buffalo City Municipality. Raw samples were collected weekly using the grab technique for a period of 48 weeks. Ribonucleic acids were extracted from the samples, using the QIAGEN Powersoil Total RNA Extraction kit, and extracted RNA samples were further profiled for the presence of SARS-CoV-2 genomes using Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) technique. Furthermore, various environmental matrices were utilized to estimate the potential health risk to plant operators associated with exposure to SARS-CoV-2 viral particles using the quantitative microbiological risk assessment (QMRA) model. Our findings revealed the prevalence of SARS-CoV-2 genomes with concentrations that ranged from 0.22 × 103 to 17.60 × 103 genome copies per milliliter (GC/mL). Different exposure scenarios were employed for the QMRA model, and the findings indicate a probability of infection (P(i)) ranging from 0.93% to 37.81% across the study sites. Similarly, the P(i) was highly significant (p < 0.001) for the 20 mL volumetric intake as compared to other volumetric intake scenarios, and high P(i) was also observed in spring, autumn, and winter for all WWTPs. The P(i) was significantly different (p < 0.05) with respect to the different seasons and with respect to different volume scenarios.

Characterization of antibody response to SARS-CoV-2 Orf8 from three waves of COVID-19 outbreak in Thailand

A dynamic of virus adaptation and a mass vaccination campaign could significantly reduce the severity of clinical manifestations of COVID-19 and transmission. Hence, COVID-19 may become an endemic disease globally. Moreover, mass infection as the COVID-19 pandemic progressed affected the serology of the patients as a result of virus mutation and vaccination. Therefore, a need exists to acquire accurate serological testing to monitor the emergence of new outbreaks of COVID-19 to promptly prevent and control the disease spreading. In this study, the anti-Orf8 antibodies among samples collected in Thailand's first, fourth, and fifth waves of COVID-19 outbreaks compared with pre-epidemic sera were determined by indirect ELISA. The diagnostic sensitivity and specificity of the anti-Orf8 IgG ELISA for COVID-19 samples from the first, fourth, and fifth waves of outbreaks was found to be 100% compared with pre-epidemic sera. However, the diagnostic sensitivity and specificity of the anti-Orf8 IgG ELISA for a larger number of patient samples and controls from the fifth wave of outbreaks which were collected on day 7 and 14 after an RT-PCR positive result were 58.79 and 58.44% and 89.19 and 58.44%, respectively. Our data indicated that some of the controls might have antibodies from natural past infections. Our study highlighted the potential utility of anti-Orf8 IgG antibody testing for seroprevalence surveys but still warrants further investigations.

Small Molecule Drugs Targeting Viral Polymerases

Small molecules that specifically target viral polymerases-crucial enzymes governing viral genome transcription and replication-play a pivotal role in combating viral infections. Presently, approved polymerase inhibitors cover nine human viruses, spanning both DNA and RNA viruses. This review provides a comprehensive analysis of these licensed drugs, encompassing nucleoside/nucleotide inhibitors (NIs), non-nucleoside inhibitors (NNIs), and mutagenic agents. For each compound, we describe the specific targeted virus and related polymerase enzyme, the mechanism of action, and the relevant bioactivity data. This wealth of information serves as a valuable resource for researchers actively engaged in antiviral drug discovery efforts, offering a complete overview of established strategies as well as insights for shaping the development of next-generation antiviral therapeutics.

SARS-CoV-2 Neutralization Assays Used in Clinical Trials: A Narrative Review

Since the emergence of COVID-19, extensive research efforts have been undertaken to accelerate the development of multiple types of vaccines to combat the pandemic. These include inactivated, recombinant subunit, viral vector, and nucleic acid vaccines. In the development of these diverse vaccines, appropriate methods to assess vaccine immunogenicity are essential in both preclinical and clinical studies. Among the biomarkers used in vaccine evaluation, the neutralizing antibody level serves as a pivotal indicator for assessing vaccine efficacy. Neutralizing antibody detection methods can mainly be classified into three types: the conventional virus neutralization test, pseudovirus neutralization test, and surrogate virus neutralization test. Importantly, standardization of these assays is critical for their application to yield results that are comparable across different laboratories. The development and use of international or regional standards would facilitate assay standardization and facilitate comparisons of the immune responses induced by different vaccines. In this comprehensive review, we discuss the principles, advantages, limitations, and application of different SARS-CoV-2 neutralization assays in vaccine clinical trials. This will provide guidance for the development and evaluation of COVID-19 vaccines.

Optical biosensors for diagnosis of COVID-19: nanomaterial-enabled particle strategies for post pandemic era

The COVID-19 pandemic underlines the need for effective strategies for controlling virus spread and ensuring sensitive detection of SARS-CoV-2. This review presents the potential of nanomaterial-enabled optical biosensors for rapid and low-cost detection of SARS-CoV-2 biomarkers, demonstrating a comprehensive analysis including colorimetric, fluorescence, surface-enhanced Raman scattering, and surface plasmon resonance detection methods. Nanomaterials including metal-based nanomaterials, metal-organic frame-based nanoparticles, nanorods, nanoporous materials, nanoshell materials, and magnetic nanoparticles employed in the production of optical biosensors are presented in detail. This review also discusses the detection principles, fabrication methods, nanomaterial synthesis, and their applications for the detection of SARS-CoV-2 in four categories: antibody-based, antigen-based, nucleic acid-based, and aptamer-based biosensors. This critical review includes reports published in the literature between the years 2021 and 2024. In addition, the review offers critical insights into optical nanobiosensors for the diagnosis of COVID-19. The integration of artificial intelligence and machine learning technologies with optical nanomaterial-enabled biosensors is proposed to improve the efficiency of optical diagnostic systems for future pandemic scenarios.

Effectiveness of recently-approved oral antiviral medications on the outcome of patients with mild-to-moderate COVID-19 and pre-existing chronic obstructive pulmonary diseases

OBJECTIVES

This study assessed the effectiveness of the oral antiviral agents nirmatrelvir - ritonavir (NMV-r) and molnupiravir (MOV) for treating mild-to-moderate coronavirus disease 2019 (COVID-19) in patients with COPD.

METHODS

This retrospective cohort study extracted data from the TriNetX platform and examined 94,984 COVID-19 patients with preexisting COPD from 1 January 2022, to 1 October 2023. Patients receiving NMV-r or MOV (study group) were compared with those not receiving oral antiviral agents (control group) after propensity score matching (PSM).

RESULTS

After PSM, 7,944 patients were classified into the study and control groups. The primary composite outcome of all-cause hospitalization, or death in 30 days was reported in 458 (5.7%) patients in the study group and 566 (7.1%) patients in the control cohort, yielding a hazard ratio [HR] of 0.79 (95% confidence interval [CI]: 0.70-0.89; Table 2). Compared with the control group, the study group had a significantly lower risk of all-cause hospitalization (HR, 0.87; 95% CI: 0.76-0.99) and death (HR: 0.21, 95% CI: 0.13-0.35).

CONCLUSIONS

This study revealed that oral antivirals - NMV-r or MOV might improve clinical outcomes in patients with preexisting COPD and COVID-19. However, only a small proportion of preexisting COPD patients with COVID-19 received oral antiviral treatment.

The clinical outcomes and effectiveness of antiviral agents among underweight patients with COVID-19

OBJECTIVES

This study investigated the outcomes of underweight patients with COVID-19 and the effectiveness of antiviral agents in this population.

METHODS

A retrospective cohort study using theTriNetX research network was conducted. Propensity score matching (PSM) was employed to balance the first cohort involving COVID-19 patients with underweight and normal-weight. In the second cohort, underweight patients receiving antiviral agents and untreated individuals were matched using PSM. The primary outcome was a composite of all-cause hospitalization and death during the 7-30-day follow-up period.

RESULTS

After PSM, the first cohort including each group of 13,502 patients with balanced baseline characteristics were identified for comparing the outcome of patients with underweight and normal weight. The underweight group had a higher risk of the composite primary outcome than those with normal weight (hazard ratio [HR], 1.251; 95% confidence interval [CI], 1.132-1.382). The second cohort included each 884 underweight patients with and without receiving antivirals.Compared with untreated patients, those receiving antiviral treatment had a lower risk of composite primary outcomes (HR, 0.426; 95% CI, 0.278-0.653).

CONCLUSION

Underweight status may be associated with a higher risk of all-cause hospitalization and death in patients with COVID-19.Among underweight patients, antiviral agents demonstrated clinically beneficial effects.