Background Emerging data-driven technologies in healthcare, such as risk prediction models, hold great promise but also pose challenges regarding potential bias and exacerbation of existing health inequalities, which have been observed across diseases such as cardiovascular disease (CVD) and COVID-19. This study addresses the impact of ethnicity in risk prediction modelling for cardiovascular events following SARS-CoV-2 infection and explores the potential of ethnicity-specific models to mitigate disparities. Methods This retrospective cohort study utilises six linked datasets accessed through National Health Service (NHS) England9s Secure Data Environment (SDE) service for England, via the BHF Data Science Centre9s CVD-COVID-UK/COVID-IMPACT Consortium. Inclusion criteria were established, and demographic information, risk factors, and ethnicity categories were defined. Four feature selection methods (LASSO, Random Forest, XGBoost, QRISK) were employed and ethnicity-specific prediction models were trained and tested using logistic regression. Discrimination (AUROC) and calibration performance were assessed for different populations and ethnicity groups. Findings Several differences were observed in the models trained on the whole study cohort vs ethnicity-specific groups. At the feature selection stage, ethnicity-specific models yielded different selected features. AUROC discrimination measures showed consistent performance across most ethnicity groups, with QRISK-based models performing relatively poorly. Calibration performance exhibited variation across ethnicity groups and age categories. Ethnicity-specific models demonstrated the potential to enhance calibration performance for certain ethnic groups. Interpretation This research highlights the importance of considering ethnicity in risk prediction modelling to ensure equitable healthcare outcomes. Differences in selected features and asymmetric calibration across ethnicities underscore the necessity of tailored approaches. Ethnicity-specific models offer a pathway to addressing disparities and improving model performance. The study emphasises the role of data-driven technologies in either alleviating or exacerbating existing health inequalities. Keywords Prediction, machine learning, electronic health records, bias, ethnicity.
Introduction Healthcare workers (HCWs) from an interprovincial Canadian cohort were asked to give serial blood samples to identify factors associated with anti-receptor binding domain (anti-RBD) IgG response to the SARS-CoV-2 virus. Methods Members of the HCW cohort donated blood samples four months after their first SARS-CoV-2 immunization and again at 7, 10 and 13 months. Date and type of immunizations and dates of SARS-CoV-2 infection were collected at each of four contacts, together with information on immunologically-compromising conditions and current therapies. Blood samples were analyzed centrally for anti-RBD IgG and anti-nucleocapsid IgG (Abbott Architect, Abbott Diagnostics). Records of immunization and SARS-CoV-2 testing from public health agencies were used to assess the impact of reporting errors on estimates from the random-effects multivariable model fitted to the data. Results 2752 of 4567 vaccinated cohort participants agreed to donate at least one blood sample. Modelling of anti-RBD IgG titer from 8903 samples showed an increase in IgG with each vaccine dose and with first infection. A decrease in IgG titer was found with the number of months since vaccination or infection, with the sharpest decline after the third dose. An immunization regime that included mRNA1273 (Moderna) resulted in higher anti-RBD IgG. Participants reporting multiple sclerosis, rheumatoid arthritis or taking selective immunosuppressants, tumor necrosis factor inhibitors, calcineurin inhibitors and antineoplastic agents had lower anti-RBD IgG. Supplementary analyses showed higher anti-RBD IgG in those reporting side-effects of vaccination, no relation of anti-RBD IgG to obesity and lower titers in women immunized early in pregnancy. Sensitivity analysis results suggested no important bias in the self-report data. Conclusion Creation of a prospective cohort was central to the credibility of results presented here. Serial serology assessments, with longitudinal analysis, provided effect estimates with enhanced accuracy and a clearer understanding of medical and other factors affecting response to vaccination.
Background: The COVID-19 pandemic9s impact on mortality, especially among the elderly, has been extensively studied. While COVID-19 rarely causes direct mortality in children and youth, the pandemic9s indirect effects might harm these age groups. Yet, its influence on stillbirths and mortality rates in neonates, infants, children, and youth remains poorly understood. This study examines disruptions in such trends across 95 countries in 2020 and 72 in 2021, providing the inaugural comprehensive analysis of COVID-199s effect on young mortality and stillbirths. Methods: We estimate expected mortality levels in a non-pandemic setting and calculate relative mortality changes (p-scores) by applying generalized linear models to data from civil registers and vital statistics systems (CRSV) and from the Health Management Information System (HMIS). We then use these estimates to analyze, for each age group, the distribution of country-specific mortality changes and the proportion of countries experiencing mortality deficits, no changes, and excess. Results: For most countries and territories, stillbirths and mortality at ages under 25 did not differ from expected levels in 2020 and 2021. However, when focusing on the countries that did show changes, more countries experienced mortality deficits than excess. The exception was stillbirths in both years and mortality among neonates and those aged 10-24 in 2021, where more countries had an excess rather than a deficit. Overall, a quarter of the countries examined experienced increases in stillbirths and young adult mortality (20-24). Conclusion: Despite global disruptions to essential services, stillbirths and youth mortality were as expected in most countries, defying expectations. However, this doesn9t dismiss hypotheses suggesting delayed adverse effects on the youngest that may require more time to be noticeable at the population level. Close and long-term monitoring of health and deaths among children and youth, particularly in low-income and lower-middle-income countries, is required to fully understand the lasting impacts of the COVID-19 pandemic.
The impact of COVID-19 in Africa has been a big concern since the beginning of the pandemic. However, low incidence of COVID-19 case severity and mortality has been reported in many African countries, although data are highly heterogeneous and, in some regions, like Sub-Saharan Africa, very scarce. Many of these regions are also the cradle of endemic infectious diseases like malaria. The aim of this study was to determine the prevalence of SARS-CoV-2, the diversity and origin of circulating variants as well as the frequency of co-infections with malaria in Equatorial Guinea. For this purpose, we conducted antigen diagnostic tests for SARS-CoV-2, and microscopy examinations for malaria of 1,556 volunteers at six health centres in Bioko and Bata from June to October 2021. Nasopharyngeal swab samples were also taken for molecular detection of SARS-CoV-2 by RT-qPCR and whole genome viral sequencing. We report 3.0% of SARS-CoV-2 and 24.4% of malaria prevalence over the sampling in Equatorial Guinea. SARS-CoV-2 cases were found at a similar frequency in all age groups, whereas the age groups most frequently affected by malaria were children (36.8% [95% CI 30.9-42.7]) and teenagers (34.7% [95% CI 29.5-39.9]). We found six cases of confirmed co-infection of malaria and SARS-CoV-2 distributed among all age groups, representing a 0.4% frequency of co-infection in the whole sampled population. Interestingly, the majority of malaria and SARS-CoV-2 co-infections were mild. We obtained the genome sequences of 43 SARS-CoV-2 isolates, most of which belong to the lineage Delta (AY.43) and that according to our pandemic-scale phylogenies were introduced from Europe in multiple occasions (7 transmission groups and 17 unique introductions). This study is relevant in providing first-time estimates of the actual prevalence of SARS-CoV-2 in this malaria-endemic country, with the identification of circulating variants, their origin, and the occurrence of SARS-CoV-2 and malaria co-infection.
Objectives: This study aimed to assess the impact of the COVID-19 lockdown on the screening and diagnosis of breast, colorectal, lung, and prostate cancer. The study also investigated whether the rates returned to pre-pandemic levels by December 2021. Design: Cohort study. Setting: Electronic health records from UK primary care Clinical Practice Research Datalink (CPRD) GOLD database. Participants: The study included individuals registered with CPRD GOLD between January 2017 and December 2021, with at least 365 days of prior observation. Main outcome measures: The study focused on screening, diagnostic tests, referrals and diagnoses of first-ever breast, colorectal, lung, and prostate cancer. Incidence rates (IR) were stratified by age, sex and region, and incidence rate ratios (IRR) were calculated to compare rates during and after lockdown with the reference period before lockdown. Forecasted rates were estimated using negative binomial regression models. Results: Among 5,191,650 eligible participants, the initial lockdown resulted in reduced screening and diagnostic tests for all cancers, which remained dramatically reduced across the whole observation period for almost all tests investigated. For cancer incidence rates, there were significant IRR reductions in breast (0.69), colorectal (0.74), and prostate (0.71) cancers. However, the reduction in lung cancer incidence (0.92) was non-significant. Extrapolating to the entire UK population, an estimated 18,000 breast, 13,000 colorectal, 10,000 lung, and 21,000 prostate cancer diagnoses were missed from March 2020 to December 2021. Conclusion: The national COVID-19 lockdown in the UK had a substantial impact on cancer screening, diagnostic tests, referrals and diagnoses. Although incidence rates started to recover after the lockdown, they remained significantly lower than pre-pandemic levels for breast and prostate cancers and associated tests. Delays in diagnosis are likely to have adverse consequences on cancer stage, treatment initiation, mortality rates, and years of life lost. Urgent strategies are needed to identify undiagnosed cases and address the long-term implications of delayed diagnoses.
The COVID-19 pandemic brought not only global devastation but also an unprecedented infodemic of false or misleading information that spread rapidly through online social networks. Network analysis plays a crucial role in the science of fact-checking by modeling and learning the risk of infodemics through statistical processes and computation on mega-sized graphs. This paper proposes MEGA, Machine Learning-Enhanced Graph Analytics, a framework that combines feature engineering and graph neural networks to enhance the efficiency of learning performance involving massive graphs. Infodemic risk analysis is a unique application of the MEGA framework, which involves detecting spambots by counting triangle motifs and identifying influential spreaders by computing the distance centrality. The MEGA framework is evaluated using the COVID-19 pandemic Twitter dataset, demonstrating superior computational efficiency and classification accuracy.
Background: The impact of fluvoxamine in reducing symptom duration among outpatients with mild to moderate coronavirus disease 2019 (COVID-19) remains uncertain. Our objective was to assess the effectiveness of fluvoxamine 100 mg twice daily, compared with placebo, for treating mild to moderate COVID-19. Methods: The ACTIV-6 platform randomized clinical trial aims to evaluate repurposed medications for mild to moderate COVID-19. Between August 25, 2022, and January 20, 2023, 1175 participants were enrolled at 103 US sites for evaluating fluvoxamine; participants were age >=30 years with confirmed SARS-CoV-2 infection and >=2 acute COVID-19 symptoms for <=7 days. Participants were randomized to receive fluvoxamine 50 mg twice daily on day 1 followed by 100 mg twice daily for 12 additional days or to placebo. The primary outcome was time to sustained recovery (defined as at least 3 consecutive days without symptoms). Secondary outcomes included time to death; time to hospitalization or death; a composite of hospitalization, urgent care visit, emergency department visit, or death; COVID clinical progression scale; and difference in mean time unwell. Results: Among participants who were randomized and received study drug, the median age was 50 years (IQR 40-60), 66% were female, 45% identified as Hispanic/Latino, and 77% reported >=2 doses of a SARS-CoV-2 vaccine. Among 589 participants who received fluvoxamine and 586 who received placebo, differences in time to sustained recovery were not observed (adjusted hazard ratio [HR], 0.99 [95% credible interval, 0.89-1.09; P(efficacy) = 0.4]). Additionally, unadjusted, median time to sustained recovery was 10 days (95% CI 10-11) in both the intervention and placebo group. No deaths were reported. Thirty-five participants reported healthcare utilization events (a priori defined as death, hospitalization, emergency department/urgent care visit); 14 in the fluvoxamine group compared with 21 in the placebo group (HR 0.69; 95% CrI 0.27-1.21; P(efficacy)=0.86) There were 7 serious adverse events in 6 participants (2 with fluvoxamine and 4 with placebo). Conclusions: Among outpatients with mild to moderate COVID-19, treatment with fluvoxamine does not reduce duration of COVID-19 symptoms. Trial Registration: ClinicalTrials.gov (NCT04885530).
A 2nd Generation E1/E2B/E3-Deleted Adenoviral COVID-19 Vaccine: The TCELLVACCINE TRIAL - Condition: COVID-19
Interventions: Biological: hAd5-S-Fusion+N-ETSD; Biological: Placebo (0.9% (w/v) saline)
Sponsor: ImmunityBio, Inc.
Completed
Additional Recombinant COVID-19 Humoral and Cell-Mediated Immunogenicity in Immunosuppressed Populations - Conditions: Immunosuppression; COVID-19
Intervention: Biological: NVX-CoV2372
Sponsors: University of Wisconsin, Madison; Novavax
Not yet recruiting
Comparative Immunogenicity of Concomitant vs Sequential mRNA COVID-19 and Influenza Vaccinations - Conditions: Influenza; COVID-19
Interventions: Biological: Simultaneous Vaccination (Influenza Vaccine and mRNA COVID booster); Biological: Sequential Vaccination (Influenza vaccine then mRNA COVID booster); Biological: Sequential Vaccination (mRNA COVID booster then Influenza vaccine)
Sponsors: Duke University; Centers for Disease Control and Prevention; Arizona State University; University Hospitals Cleveland Medical Center; University of Pittsburgh; Washington University School of Medicine; Valleywise Health; VA Northeast Ohio Health Care; Senders Pediatrics
Not yet recruiting
Reducing COVID-19 Vaccine Hesitancy Among Hispanic Parents - Conditions: Vaccine-Preventable Diseases; COVID-19 Pandemic; Health-Related Behavior; Health Knowledge, Attitudes, Practice; Narration
Interventions: Behavioral: Baseline surveys; Behavioral: Digital Storytelling Intervention; Behavioral: Information Control Intervention
Sponsors: Arizona State University; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Not yet recruiting
Bronchoalveolar Lavage in Recovered From COVID-19 Pneumonia - Condition: Bronchoalveolar Lavage
Intervention: Procedure: Bronchoalveolar Lavage
Sponsors: Mohamed Abd Elmoniem Mohamed; Marwa Salah Abdelrazek Ghanem; Mohammad Khairy El-Badrawy; Tamer Ali Elhadidy; Dalia Abdellateif Abdelghany
Completed
Evaluation of Safety and Immunogenicity of a SARS-CoV-2(Severe Acute Respiratory Syndrome Coronavirus 2) Booster Vaccine (LEM-mR203) - Conditions: COVID-19 Infection; COVID-19 Vaccine Adverse Reaction
Interventions: Biological: LEM-mR203; Biological: Placebo
Sponsor: Lemonex
Not yet recruiting
Phase I Safety Study of B/HPIV3/S-6P Vaccine Via Nasal Spray in Adults - Condition: SARS-CoV-2 Infection
Intervention: Biological: B/HPIV3/S-6P
Sponsors: National Institute of Allergy and Infectious Diseases (NIAID); Johns Hopkins Bloomberg School of Public Health; National Institutes of Health (NIH)
Recruiting
A Study to Determine the Tolerability of Intranasal LMN-301 - Condition: COVID-19
Intervention: Biological: LMN-301
Sponsor: Lumen Bioscience, Inc.
Not yet recruiting
The Effect of Cognitive Behavioral Therapy on Post-Traumatic Stress Symptoms in Nursing Students - Condition: Trauma and Stressor Related Disorders
Intervention: Other: Cognitive Behavioral Therapy Group
Sponsor: Necmettin Erbakan University
Active, not recruiting
Long COVID Immune Profiling - Conditions: Long COVID; POTS - Postural Orthostatic Tachycardia Syndrome; Autonomic Dysfunction
Interventions: Diagnostic Test: IL-6; Diagnostic Test: cytokines (IL-17, and IFN-ɣ); Behavioral: Compass 31
Sponsors: Vanderbilt University Medical Center; American Heart Association
Not yet recruiting
A Study of Healthy Microbiome, Healthy Mind - Conditions: Critical Illness; COVID-19; PICS; Cognitive Impairment; Mental Health Impairment; Weakness, Muscle; Dysbiosis
Intervention: Behavioral: Fermented Food Diet
Sponsor: Mayo Clinic
Not yet recruiting
Association between levels of IgG antibodies from vaccines and Omicron symptomatic infection among children and adolescents in China - CONCLUSION: The risk of developing a symptomatic infection can be predicted independently by tertiles of IgG antibodies to wild-type SARS-CoV-2 antigens. High IgG levels can inhibit viral replication, vastly reduce the risk of symptomatic infections and promote a virus-negative conversion, especially when IgG quantitative detection was ≥3.44 S/CO, a potential threshold for protection and booster strategy in the future. More data and research are needed in the future to validate the predictive…
Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithms - Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the fast discovery of effective treatments to fight this worldwide concern. Several genes associated with the SARS-CoV-2, which are essential for its functionality, pathogenesis, and survival, have been identified. These genes, which play crucial roles in SARS-CoV-2 infection, are considered potential therapeutic targets. Developing drugs against these essential genes to inhibit their regular functions could be a good approach…
Identification of motif-based interactions between SARS-CoV-2 protein domains and human peptide ligands pinpoint antiviral targets - The virus life cycle depends on host-virus protein-protein interactions, which often involve a disordered protein region binding to a folded protein domain. Here, we used proteomic peptide phage display (ProP-PD) to identify peptides from the intrinsically disordered regions of the human proteome that bind to folded protein domains encoded by the SARS-CoV-2 genome. Eleven folded domains of SARS-CoV-2 proteins were found to bind 281 peptides from human proteins, and affinities of 31 interactions…
Broadly neutralizing antibodies derived from the earliest COVID-19 convalescents protect mice from SARS-CoV-2 variants challenge - Coronavirus disease 2019 (COVID-19) was first reported three years ago, when a group of individuals were infected with the original SARS-CoV-2 strain, based on which vaccines were developed. Here, we develop six human monoclonal antibodies (mAbs) from two elite convalescents in Wuhan and show that these mAbs recognize diverse epitopes on the receptor binding domain (RBD) and can inhibit the infection of SARS-CoV-2 original strain and variants of concern (VOCs) to varying degrees, including…
Suramin inhibits SARS-CoV-2 nucleocapsid phosphoprotein genome packaging function - The coronavirus disease 2019 (COVID-19) pandemic is fading, however its etiologic agent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues posing - despite the availability of licensed vaccines - a global health threat, due to the potential emergence of vaccine-resistant SARS-CoV-2 variants. This makes the development of new drugs against COVID-19 a persistent urgency and sets as research priority the validation of novel therapeutic targets within the SARS-CoV-2 proteome….
Inhalable dry powder containing remdesivir and disulfiram: Preparation and in vitro characterization - The respiratory tract, as the first and most afflicted target of many viruses such as SARS-CoV-2, seems to be the logical choice for delivering antiviral agents against this and other respiratory viruses. A combination of remdesivir and disulfiram, targeting two different steps in the viral replication cycle, has showed synergistic activity against SARS-CoV-2 in-vitro. In this study, we have developed an inhalable dry powder containing a combination of remdesivir and disulfiram utilizing the…
MICROVASCULAR ENDOTHELIAL ACTIVATION/DYSFUNCTION AND DYSREGULATION OF THE ANGIOPOIETIN-TIE2 SYSTEM IN THE PATHOGENESIS OF LIFE-THREATENING INFECTIONS - Microvascular endothelial activation/dysfunction has emerged as an important mechanistic pathophysiological process in the development of morbidity and mortality in life-threatening infections. The angiopoietin-Tie2 system plays an integral role in the regulation of microvascular endothelial integrity. Angiopoietin-1 (Ang-1), produced by platelets and pericytes, is the cognate agonistic ligand for Tie2, promoting endothelial quiescence and inhibiting microvascular leak. Angiopoietin-2 (Ang-2),…
Prime editor-mediated functional reshaping of ACE2 prevents the entry of multiple human coronaviruses, including SARS-CoV-2 variants - The spike protein of SARS-CoV-2 hijacks the host angiotensin converting enzyme 2 (ACE2) to meditate its entry and is the primary target for vaccine development. Nevertheless, SARS-CoV-2 keeps evolving and the latest Omicron subvariants BQ.1 and XBB have gained exceptional immune evasion potential through mutations in their spike proteins, leading to sharply reduced efficacy of current spike-focused vaccines and therapeutics. Compared with the fast-evolving spike protein, targeting host ACE2…
Targeting host calcium channels and viroporins: a promising strategy for SARS-CoV-2 therapy - Despite passing the pandemic phase of the COVID-19, researchers are still investigating various drugs. Previous evidence suggests that blocking the calcium channels may be a suitable treatment option. Ca^(2+) is required to enhance the fusion process of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Also, some important inflammatory factors during SARS-CoV-2 infection are dependent on Ca^(2+) level. On the other hand, viroporins have emerged as attractive targets for antiviral…
Identification of new drugs to counteract anti-spike IgG-induced hyperinflammation in severe COVID-19 - Previously, we and others have shown that SARS-CoV-2 spike-specific IgG antibodies play a major role in disease severity in COVID-19 by triggering macrophage hyperactivation, disrupting endothelial barrier integrity, and inducing thrombus formation. This hyperinflammation is dependent on high levels of anti-spike IgG with aberrant Fc tail glycosylation, leading to Fcγ receptor hyperactivation. For development of immune-regulatory therapeutics, drug specificity is crucial to counteract excessive…
Safety and Immunogenicity of the BNT162b2 Vaccine Coadministered with Seasonal Inactivated Influenza Vaccine in Adults - CONCLUSIONS: BNT162b2 coadministered with SIIV elicited immune responses that were noninferior to those elicited by BNT162b2 alone and SIIV alone, and BNT162b2 had an acceptable safety profile when coadministered with SIIV. The results of this study support the coadministration of BNT162b2 and SIIV in adults.
Farnesoid X receptor enhances epithelial ACE2 expression and inhibits viral-induced IL-6 secretion: implications for intestinal symptoms of SARS-CoV-2 - CONCLUSION: By virtue of its ability to modulate epithelial ACE2 expression and inhibit virus-mediated pro-inflammatory cytokine release, FXR represents a promising target for development of new approaches to prevent intestinal manifestations of SARS-CoV-2.
Targeting spike glycans to inhibit SARS-CoV2 viral entry - SARS-CoV-2 spike harbors glycans which function as ligands for lectins. Therefore, it should be possible to exploit lectins to target SARS-CoV-2 and inhibit cellular entry by binding glycans on the spike protein. Burkholderia oklahomensis agglutinin (BOA) is an antiviral lectin that interacts with viral glycoproteins via N-linked high mannose glycans. Here, we show that BOA binds to the spike protein and is a potent inhibitor of SARS-CoV-2 viral entry at nanomolar concentrations. Using a variety…
PARP12 is required to repress the replication of a Mac1 mutant coronavirus in a cell- and tissue-specific manner - ADP-ribosyltransferases (ARTs) mediate the transfer of ADP-ribose from NAD^(+) to protein or nucleic acid substrates. This modification can be removed by several different types of proteins, including macrodomains. Several ARTs, also known as PARPs, are stimulated by interferon indicating ADP-ribosylation is an important aspect of the innate immune response. All coronaviruses (CoVs) encode for a highly conserved macrodomain (Mac1) that is critical for CoVs to replicate and cause disease,…
Efficacy and safety evaluation of Azvudine in the prospective treatment of COVID-19 based on four phase III clinical trials - Azvudine (FNC) is a synthetic nucleoside analog used to treat adult patients living with human immunodeficiency virus-1 (HIV-1) infection with high viral load. After phosphorylation, Azvudine inhibits RNA-dependent RNA polymerase, leading to the discontinuation of RNA chain synthesis in viruses. In addition, Azvudine is the first dual-target nucleoside oral drug worldwide to simultaneously target reverse transcriptase and viral infectivity factors in the treatment of HIV infection. On 9 August…