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Evidence linking the endothelium to cardiac injury in long coronavirus disease (COVID) is well documented, but the underlying mechanisms remain unknown. Here we show that cytokines released by endothelial cells (ECs) contribute to long-COVID-associated cardiac dysfunction. Using thrombotic vascular tissues from patients with long COVID and induced pluripotent stem cell-derived ECs (iPSC-ECs), we modeled endotheliitis and observed similar dysfunction and cytokine upregulation, notably CCL2. Cardiac organoids comprising iPSC-ECs and iPSC-derived cardiomyocytes showed cardiac dysfunction after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure, driven by CCL2. Profiling of chromatin accessibility and gene expression at a single-cell resolution linked CCL2 to 'phenotype switching' and cardiac dysfunction, validated by high-throughput proteomics. Disease modeling of cardiac organoids and exposure of human ACE2 transgenic mice to SARS-CoV-2 spike proteins revealed that CCL2-induced oxidative stress promoted post-translational modification of cardiac proteins, leading to cardiac dysfunction. These findings suggest that EC-released cytokines contribute to cardiac dysfunction in long COVID, highlighting the importance of early vascular health monitoring in patients with long COVID., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Objective: The study objective is to measure the influence of psychological antecedents of vaccination on COVID-19 vaccine intention among citizens of the Métis Nation of Ontario (MNO)., Methods: A population-based online survey was implemented by the MNO when COVID-19 vaccines were approved in Canada. Questions included vaccine intention, the short version of the "5C" psychological antecedents of vaccination scale (confidence, complacency, constraint, calculation, collective responsibility), and socio-demographics. Census sampling via the MNO Registry was used achieving a 39% response rate. Descriptive statistics, bivariate analyses, and multinomial logistic regression models (adjusted for sociodemographic variables) were used to analyze the survey data., Results: The majority of MNO citizens (70.2%) planned to be vaccinated. As compared with vaccine-hesitant individuals, respondents with vaccine intention were more confident in the safety of COVID-19 vaccines, believed that COVID-19 is severe, were willing to protect others from getting COVID-19, and would research the vaccines (Confident OR = 19.4, 95% CI 15.5-24.2; Complacency OR = 6.21, 95% CI 5.38-7.18; Collective responsibility OR = 9.83, 95% CI 8.24-11.72; Calculation OR = 1.43, 95% CI 1.28-1.59). Finally, respondents with vaccine intention were less likely to let everyday stress prevent them from getting COVID-19 vaccines (OR = 0.47, 95% CI 0.42-0.53) compared to vaccine-hesitant individuals., Conclusion: This research contributes to the knowledge base for Métis health and supported the MNO's information sharing and educational activities during the COVID-19 vaccines rollout. Future research will examine the relationship between the 5Cs and actual uptake of COVID-19 vaccines among MNO citizens., (© 2024. The Author(s).)

Objectives: Staff at violence against women (VAW) organizations provide essential services for survivors of violence. The increase in VAW during the COVID-19 pandemic placed additional pressures on VAW staff. We investigated the impacts of the pandemic on the mental health of VAW staff in the Greater Toronto Area to inform recommendations for policy and practice., Methods: We conducted a community-based, mixed-methods study on the processes, experiences, and outcomes of adapting VAW programming during the pandemic using a sequential explanatory approach. Throughout 2021, we conducted a survey of direct support and leadership staff who worked on VAW services ("VAW staff") followed by semi-structured interviews with VAW staff purposively sampled from the survey. We descriptively analyzed quantitative survey data on the mental health of 127 VAW staff. We then applied thematic analysis to qualitative data from 18 interviews with VAW staff. We used the qualitative data to support interpretation and enrich the quantitative findings regarding staff mental health., Results: In the survey, 81% of leadership and 61% of direct support staff indicated that their work was more distressing during the pandemic. Participants reported moderate symptoms of vicarious trauma and mild symptoms of anxiety and depression. We generated three themes from the qualitative data to help explain these findings: (1) challenges related to changing work environments; (2) distress over not meeting client needs; and (3) difficulties in adapting self-care strategies in response to pandemic stressors., Conclusion: VAW organizations require increased resources and flexible funding to hire and retain more staff to respond to higher and more complex caseloads during public health emergencies. With more structural supports in place, VAW organizations could create more time and space to develop their trauma-informed organizational practices: for example, establishing a culture of connection and learning among staff virtually and in-person and facilitating a range of self-care opportunities., (© 2024. The Author(s).)

Setting: Mathematical modelling played an important role in the public health response to COVID-19 in Canada. Variability in epidemic trajectories, modelling approaches, and data infrastructure across provinces provides a unique opportunity to understand the factors that shaped modelling strategies., Intervention: Provinces implemented stringent pandemic interventions to mitigate SARS-CoV-2 transmission, considering evidence from epidemic models. This study aimed to summarize provincial COVID-19 modelling efforts. We identified modelling teams working with provincial decision-makers, through referrals and membership in Canadian modelling networks. Information on models, data sources, and knowledge translation were abstracted using standardized instruments., Outcomes: We obtained information from six provinces. For provinces with sustained community transmission, initial modelling efforts focused on projecting epidemic trajectories and healthcare demands, and evaluating impacts of proposed interventions. In provinces with low community transmission, models emphasized quantifying importation risks. Most of the models were compartmental and deterministic, with projection horizons of a few weeks. Models were updated regularly or replaced by new ones, adapting to changing local epidemic dynamics, pathogen characteristics, vaccines, and requests from public health. Surveillance datasets for cases, hospitalizations and deaths, and serological studies were the main data sources for model calibration. Access to data for modelling and the structure for knowledge translation differed markedly between provinces., Implication: Provincial modelling efforts during the COVID-19 pandemic were tailored to local contexts and modulated by available resources. Strengthening Canadian modelling capacity, developing and sustaining collaborations between modellers and governments, and ensuring earlier access to linked and timely surveillance data could help improve pandemic preparedness., (© 2024. The Author(s) under exclusive license to The Canadian Public Health Association.)

Objectives: Indigenous public health theory and the voices of Canadian Indigenous communities remain under-represented in the literature despite the Canadian Truth and Reconciliation Calls to Action, and the perspectives of Inuit are further under-represented in this literature. The goal of this paper is to explore the perspectives of Iqalungmiut (people of Iqaluit), frontline staff, and decision-makers on the management of the COVID-19 outbreak in Iqaluit in April to June 2021 and to identify lessons learned and contributions to public health policy and practice specific to Inuit populations in Canada., Methods: This study used the Piliriqatigiinniq Community Health Research Model which was developed by Nunavummiut to guide community-based health and well-being research. Interviews were conducted with 44 individuals: 22 community members and shelter users; 17 frontline workers; and 5 decision-makers representing municipal and territorial government. Participants were asked about their experiences during the outbreak, sources of information, and strengths and challenges during outbreak management., Results: Challenges included overcrowding, physical disconnection from family members, and mental health and trauma. Community-identified strengths included strong interagency cooperation, food hamper and COVID-19 care kit deliveries, and travel restrictions. Several Inuit positive health-protective pathways were identified including Ilaginniq; Silativut; Inuuqatigiittiarniq; Piliriqatigiinniq; Ikajurniq; and Pijitsirniq., Conclusion: Outbreaks of infectious illness are not new to Nunavut communities and Inuit protective pathways have and continue to be critical avenues to adapt to and mitigate such challenges. This exploratory study provides clear direction for Inuit public health policy and practice in Canada, while contributing to the body of literature on Indigenous public health theory., (© 2024. The Author(s).)

Setting: Early in the COVID-19 pandemic, the Public Health Agency of Canada (PHAC) and provincial/territorial (P/T) public health identified the need for a coordinated response to complex multijurisdictional COVID-19 outbreaks. The first large multijurisdictional industrial worksite COVID-19 outbreak highlighted the risk of transmission within these congregate work settings, the risk of transmission to the broader community(ies), and the need to develop setting-specific outbreak response frameworks., Intervention: PHAC assembled a team to provide national outbreak support for multijurisdictional COVID-19 outbreaks in May 2020. The COVID-19 Outbreak Response Unit (ORU) worked with P/T partners to develop guiding principles for outbreak response and outbreak investigation processes, guidance documents, and investigation tools (e.g., minimum data elements and questionnaires)., Outcomes: The ORU, P/T partners, and onsite industrial worksite health and safety staff leveraged outbreak investigation guidelines, industrial worksite outbreak process documents (including minimum data elements), and enhanced case questionnaires to respond to multiple COVID-19 outbreak investigations in industrial worksites. Clear roles/responsibilities and processes, along with standardized data, allowed for more efficient outbreak investigations and earlier implementation of mitigation measures., Implications: Multijurisdictional COVID-19 outbreaks highlighted the importance of public health collaboration with industry partners onsite. The assembly of a national outbreak response team was important to facilitate information sharing and provide technical support. Lessons learned and recommendations on outbreak preparation, detection, management, and communication are included to enhance a response framework applicable to future emerging or re-emerging pathogens with epidemic and/or pandemic potential., (© 2024. Crown.)

Objectives: This systematic review and meta-analysis aims to describe Canadian youth mental health during the COVID-19 pandemic, focusing on changes in anxiety and depressive symptoms and suicidality., Methods: We searched four databases up to February 2023 for longitudinal or repeated cross-sectional studies reporting on changes in depressive and anxiety symptoms, suicidality, or related services utilization among young people under 25 years old residing in Canada during the COVID-19 pandemic. Random-effects meta-analyses were performed for studies comparing depressive and anxiety symptoms from before to during the first, second, and third COVID-19 waves (up to June 2021), and between COVID-19 waves. Other studies were described narratively. Risk of bias was assessed using an adapted Joanna Briggs Institute Checklist., Synthesis: Of the 7916 records screened, 35 articles met inclusion criteria for this review. Included studies were highly heterogeneous in design, population, and type of change investigated, and many had a high risk of bias. The meta-analyses found that depressive symptoms worsened minimally from pre-pandemic to wave 1 but returned to pre-pandemic levels by wave 2. Anxiety symptoms were broadly comparable from pre-pandemic to waves 1 and 2 but worsened from waves 1 to 3 and from pre-pandemic to wave 1 for girls. The narrative review included several studies that provided inconclusive evidence of increases in services utilization., Conclusion: The current evidence is limited and highly heterogeneous, making it insufficient to draw definitive conclusions regarding the short- to medium-term impact of the pandemic on youth mental health in Canada. Obtaining better mental health surveillance among Canadian youth is imperative., (© 2024. The Author(s) under exclusive license to The Canadian Public Health Association.)

Objective: To examine factors associated with COVID-19 vaccination (time to vaccination and vaccination status) among healthy young children participating in primary healthcare., Methods: A cohort study was conducted between November 2021 and September 2022 through the TARGet Kids! primary care research network in Toronto, Canada. Sociodemographic information, child and parent health characteristics, parental vaccine beliefs and child COVID-19 vaccine uptake were collected through parent-reported questionnaires. The primary outcome was time to child COVID-19 vaccination, measured as the time between vaccine availability date and parent-reported child COVID-19 vaccination date. Interval-censored proportional hazard models were used., Results: A total of 267 children age 0 to 13 years were included. The mean child age was 7.6 years, 52.8% (n = 141) were male, 66.5% (n = 141) had mothers of European ethnicity (with missingness), and 68.2% (n = 182) of the children were vaccinated. All parents of vaccinated children had received the COVID-19 vaccination themselves. The rate of vaccination for children was 2% higher with each one-month increase in child age (adjusted HR = 1.02, 95%CI = 1.01-1.03, p < 0.001). Compared to children whose parents had uncertain beliefs, those whose parents had positive beliefs about the importance and safety of COVID-19 vaccination for their children had higher rates of vaccination (adjusted HR = 8.29, 95%CI = 4.25-16.17, p < 0.001; adjusted HR = 5.09, 95%CI = 3.17-8.17, p < 0.001)., Conclusion: Older child age, parental COVID-19 vaccination, and positive parental beliefs about COVID-19 vaccination were statistically significantly associated with COVID-19 vaccination among healthy young children. Our findings may help to inform policies, practices, and research which aim to strengthen parental vaccine confidence and promote child COVID-19 vaccination., (© 2023. The Author(s) under exclusive license to The Canadian Public Health Association.)

Objective: COVID-19 transmission, emergence of variants of concern, and weakened immunity have led to recommended vaccine booster doses for COVID-19. Vaccine hesitancy challenges broad immunization coverage. We deployed a cross-national survey to investigate knowledge, beliefs, and behaviours toward continued COVID-19 vaccination., Methods: We administered a national, cross-sectional online survey among adults in Canada between March 16 and March 26, 2022. We utilized descriptive statistics to summarize our sample, and tested for demographic differences, perceptions of vaccine effectiveness, recommended doses, and trust in decisions, using the Rao-Scott correction for weighted chi-squared tests. Multivariable logistic regression was adjusted for relevant covariates to identify sociodemographic factors and beliefs associated with vaccine hesitancy., Results: We collected 2202 completed questionnaires. Lower education status (high school: odds ratio (OR) 1.90, 95% confidence interval (CI) 1.29, 2.81) and having children (OR 1.89, CI 1.39, 2.57) were associated with increased odds of experiencing hesitancy toward a booster dose, while higher income ($100,000-$149,999: OR 0.60, CI 0.39, 0.91; $150,000 or more: OR 0.49, CI 0.29, 0.82) was associated with decreased odds. Disbelief in vaccine effectiveness (against infection: OR 3.69, CI 1.98, 6.90; serious illness: OR 3.15, CI 1.69, 5.86), disagreeing with government decision-making (somewhat disagree: OR 2.70, CI 1.38, 5.29; strongly disagree: OR 4.62, CI 2.20, 9.7), and beliefs in over-vaccinating (OR 2.07, CI 1.53, 2.80) were found associated with booster dose hesitancy., Conclusion: COVID-19 vaccine hesitancy may develop or increase regarding subsequent vaccines. Our findings indicate factors to consider when targeting vaccine-hesitant populations., (© 2023. The Author(s).)

Objectives: We assessed the impact of the COVID-19 pandemic on social determinants of health, mental health, substance use, and access to mental health and harm reduction services among key populations disproportionately impacted by sexually transmitted and blood-borne infections (STBBI)., Methods: Online surveys (2021‒2022) were conducted in Canada among people who use drugs or alcohol (PWUD); African, Caribbean, and Black people (ACB); and First Nations, Inuit, and Métis peoples (FNIM). Descriptive analyses were conducted on social determinants of health, substance use, and access to services, stratified by changes in mental health status since the start of the pandemic., Results: A total of 3773 participants (1034 PWUD, 1556 ACB, and 1183 FNIM) completed the surveys, with 45.6% reporting a major/moderate impact of the pandemic on their ability to pay bills and 53% experiencing food insecurity since the start of the pandemic. Half (49.4%) of participants reported deteriorating mental health. A higher increase in substance use and related behaviours was seen in those with worsening mental health. Among those using substances, two thirds (69.4%) of those with worsening mental health reported increasing their use of substances alone, compared to 46.9% of those with better/similar mental health. Access to mental health and harm reduction services was low., Conclusion: These intersecting health issues are among the risk factors for STBBI acquisition and act as barriers to care. Equitable interventions and policies addressing downstream and upstream determinants of health, with meaningful and sustainable leadership from key populations, may improve their health and well-being, to lower STBBI impact and improve future pandemic responses., (© 2024. Crown.)

The early and highly accurate prediction of COVID-19 based on medical images can speed up the diagnostic process and thereby mitigate disease spread; therefore, developing AI-based models is an inevitable endeavor. The presented work, to our knowledge, is the first to expand the model space and identify a better performing model among 10,000 constructed deep transfer learning (DTL) models as follows. First, we downloaded and processed 4481 CT and X-ray images pertaining to COVID-19 and non-COVID-19 patients, obtained from the Kaggle repository. Second, we provide processed images as inputs to four pre-trained deep learning models (ConvNeXt, EfficientNetV2, DenseNet121, and ResNet34) on more than a million images from the ImageNet database, in which we froze the convolutional and pooling layers pertaining to the feature extraction part while unfreezing and training the densely connected classifier with the Adam optimizer. Third, we generate and take a majority vote of two, three, and four combinations from the four DTL models, resulting in DTL models. Then, we combine the 11 DTL models, followed by consecutively generating and taking the majority vote of DTL models. Finally, we select DTL models from Experimental results from the whole datasets using five-fold cross-validation demonstrate that the best generated DTL model, named HC, achieving the best AUC of 0.909 when applied to the CT dataset, while ConvNeXt yielded a higher marginal AUC of 0.933 compared to 0.93 for HX when considering the X-ray dataset. These promising results set the foundation for promoting the large generation of models (LGM) in AI. [ABSTRACT FROM AUTHOR]

To generate synthetic medical data incorporating image-tabular hybrid data by merging an image encoding/decoding model with a table-compatible generative model and assess their utility. We used 1342 cases from the Stony Brook University Covid-19-positive cases, comprising chest X-ray radiographs (CXRs) and tabular clinical data as a private dataset (pDS). We generated a synthetic dataset (sDS) through the following steps: (I) dimensionally reducing CXRs in the pDS using a pretrained encoder of the auto-encoding generative adversarial networks (αGAN) and integrating them with the correspondent tabular clinical data; (II) training the conditional tabular GAN (CTGAN) on this combined data to generate synthetic records, encompassing encoded image features and clinical data; and (III) reconstructing synthetic images from these encoded image features in the sDS using a pretrained decoder of the αGAN. The utility of sDS was assessed by the performance of the prediction models for patient outcomes (deceased or discharged). For the pDS test set, the area under the receiver operating characteristic (AUC) curve was calculated to compare the performance of prediction models trained separately with pDS, sDS, or a combination of both. We created an sDS comprising CXRs with a resolution of 256 × 256 pixels and tabular data containing 13 variables. The AUC for the outcome was 0.83 when the model was trained with the pDS, 0.74 with the sDS, and 0.87 when combining pDS and sDS for training. Our method is effective for generating synthetic records consisting of both images and tabular clinical data., (© 2024. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.)

Impaired pulmonary diffusing capacity for carbon monoxide (DLCO) following COVID-19 has been consistently reported among individuals recovering from severe-critical infection. However, most long COVID cases follow non-severe COVID-19. We assessed DLCO among individuals with long COVID recovering from mild to moderate acute illness. A cross-sectional study of adults with long COVID, assessed at a COVID recovery clinic > 3 months following the onset of acute infection, during 2020–2021. Participants subjectively ranked their dyspnea severity based on its impact on their daily living and underwent comprehensive pulmonary function testing (PFT). Clinical correlates for impaired DLCO (defined as < 80%) were assessed using multivariable logistic regression models. A total of 458 individuals, their mean age 45 (SD 16) and 246 (54%) of whom are women, were evaluated at an average of ~ 4 months following acute COVID-19. The most frequent PFT impairment was reduced DLCO, identified among 67 (17%) of the cohort. Clinical correlates of impaired DLCO included women (odds ration [OR] 3.64, 95% confidence interval [CI] 1.78–7.45, p < 0.001), cigarette smoking (OR 2.25, 95% CI 1.14–4.43, p = 0.019), and moderate-severe dyspnea (OR 2.77, 95% CI 1.39–5.50, p = 0.004). BMI inversely correlated with DLCO (OR 0.90, 95% CI 0.85–0.96 per 1 unit, p = 0.002). Impaired DLCO was not uncommon among individuals recovering from mild to moderate COVID-19. Women are at a greater risk, and subjective dyspnea correlated with impaired DLCO. Clinicians can rely on self-reported significant dyspnea to guide further assessment. [ABSTRACT FROM AUTHOR]

With the global introduction and widespread administration of COVID-19 vaccines, there have been emerging reports of associated vasculitis, including leukocytoclastic cutaneous vasculitis (LCV). In this paper, we present a case of a 68-year-old female patient who developed painful purpuric skin lesions on her feet 12 days after administration of the inactivated COVID-19 vaccine BBIBP Cor-V with histopathological confirmation of LCV and no signs of systemic involvement. The case is followed by a comprehensive literature review of documented LCV cases associated with COVID-19 vaccination with overall 39 articles and 48 cases of LCV found in total. In the majority of cases (56.3%) the first symptom occurred after the first dose of the COVID-19 vaccine, with symptoms manifesting within an average of seven days (6.8 ± 4.8) post-vaccination. The adenoviral vaccine Oxford-AstraZeneca (41.7%) and the mRNA vaccine Pfizer-BioNTech (27.1%) were most frequently associated with LCV occurrences. On average, LCV resolved within 2.5 (± 1.5) weeks. The preferred treatment modality were glucocorticoids, used in 70.8% of cases, resulting in a positive outcome in most cases, including our patient. While the safety of a subsequent dose appears favorable based on our review, individual risk–benefit assessment is crucial. This review emphasis the importance of considering COVID-19 vaccination as a potential trigger for the development of cutaneous vasculitis. Despite rare adverse events, the benefits of the COVID-19 vaccination outweigh the risks, highlighting the importance of immunization programs. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic brought chemosensory impairment to the forefront of medicine, revealing gaps in the knowledge of pathophysiological mechanisms, true prevalence and preventive/therapeutic alternatives. This is a sub-study of the ORCHESTRA cohort focusing on post-COVID-19 chemosensory symptoms. Risk factors for neurosensorial cluster of post-COVID-19 syndrome (NSc-PCS) were assessed through multivariable analysis. Psychophysical validated tests were applied on a sub-population of 50 patients. Qualitative chemosensory symptoms as well as nasal and oral chemesthesis were evaluated through anamnestic interview and the quality of life through the SF-36 questionnaire. Chemosensory symptoms evolution and olfactory training's outcome were assessed through phone-call interviews. Out of 1187 patients (female, N = 630), 550 (47%) presented NSc-PCS, with a lower risk for older age and monoclonal antibodies treatment, and a higher risk in females (p < 0.001). Out of the 50 patients evaluated with psychophysical tests, 66% showed smell reduction with a qualitative alteration in 50% of hyposmic and 35% of normosmic patients. Hypogeusia was present in 14 (28%) of the patients assessed, with 56% showing a qualitative alteration; 53% of normogeusic patients presented qualitative disorders. NSc-PCS has a complex, fluctuating, multifaceted presentation. Quantifying and characterizing COVID-19-related chemosensory impairment is key to understand underlying mechanisms and to develop preventive and therapeutic treatment. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic has significantly spurred the development of deep learning (DL) models for the pathology automatic diagnosis based on CT scan images. However, the assumption about the generalization of the proposed models remains to be assessed and shown for concrete clinical use. In this work, we have investigated the real value of widely used public datasets for the elaboration of DL models that are dedicated to automatic diagnosis of Covid-19 using CT scans. We have collected various international public datasets from 13 countries. Different Convolutional Neural Networks (CNNs) have been trained and their performances carefully assessed. Two evaluations have been conducted: (1) an internal evaluation following a cross-validation procedure, and (2) an external evaluation on real patients coming from new and different sources. The objective is to assess the generalization capabilities considering real-world conditions: different acquisition conditions, devices and configurations. Three families from the most effective CNN models have been selected (ResNet, DenseNet and EfficientNet). These have been fine-tuned, evaluated and used within a training methodology based on transfer learning. The most effective models have been further customized in order to create new models that are dedicated to the task at hand. These models have significantly improved the diagnosis performance. [ABSTRACT FROM AUTHOR]

The long-term effects of SARS-CoV-2 infection, and their determinants, are still unknown. This study aimed to assess symptoms one year after admission for COVID-19, according to the organ/system involved, and to identify factors. Cross-sectional study with retrospective data collection from March 2020 to February 2021. Inclusion criteria: aged ≥ 18 years and admitted for COVID-19. Exclusion criteria: death, not localized, refusal to participate, cognitive impairment or language barrier. A telephone survey was conducted on long COVID-related symptoms one year after hospital discharge. n = 486. The most frequent symptom groups were neurological (n = 225; 46.3%) and respiratory (n = 201; 41.4%). Multivariable analysis showed that a history of anxiety was significantly associated with psychiatric symptoms (ORa = 2.04, 95%CI = 1.02–4.06), fibromyalgia/chronic fatigue with general symptoms (ORa = 11.59, 95%CI = 1.47–9.34) and obesity with respiratory (ORa 1.90, 95%CI = 1.27–2.83) and musculoskeletal symptoms (ORa 1.96, 95%CI = 1.30–2.96). Male sex was associated with a significantly lower risk of neurological (ORa 0.64, 95%CI = 0.44–0.93), respiratory (ORa 0.45, 95%CI = 0.31–0.67), general (ORa 0.43, 95%CI = 0.29–0.63), psychiatric (ORa 0.34, 95%CI = 0.22–0.51), musculoskeletal (ORa 0.47, 95%CI = 0.32–0.70), dermatological (ORa 0.24, 95%CI = 0.14–0.42) and digestive (ORa 0.38, 95%CI = 0.20–0.73) symptoms. Advanced age (≥ 71 years) also had a protective effect against general (ORa 0.60, 95%CI = 0.39–0.95), psychiatric (ORa 0.39, 95%CI = 0.23–0.64), and dermatological (ORa 0.47, 95%CI = 0.24–0.92) symptoms. Patients admitted for SARS-CoV-2 infection frequently experience symptoms at one year, especially neurological and respiratory symptoms. Female sex, obesity, a history of anxiety and fibromyalgia/chronic fatigue were independent risk factors for presenting symptoms. Advanced age acted as a protective factor. [ABSTRACT FROM AUTHOR]

SARS CoV-2 virus (COVID-19) emerged as a highly infectious human pathogen in late 2019. Started in China but rapidly started spreading all over the world and soon became a pandemic. More than seven million deaths have been reported so far that devasted millions of families worldwide. Several drugs, such as hydroxychloroquine, chloroquine, remdesivir, favipiravir and arbidol have undergone some clinical studies since early 2020, but their safety concerns remained a serious issue. However, within an year from late 2019, several successful vaccines were invented to prevent people from the infection. Almost at the same time, two drugs were discovered. These are PAXLOVID™ (nirmatrelvir, ritonavir) from Pfizer and molnupiravir from Merck which were soon approved by the US-FDA, for emergency use in the treatment of COVID-19. But several challenges were soon reported in treatments with these drugs, particularly for those who are immunocompromised or have vaccine immunity and suffering for a long time from the infection (known as long-COVID). Complex issues for treatments of long-COVID patients continue to remain unresolved. Thus, discovery of new drugs to assist treatment for emerging COVID-19 problems is urgently needed. But it is important to note that discovery of new COVID-19 therapeutics, particularly small molecules is not a simple task. However, there are several excellent reviews on attempts for COVID-19 drug discovery including a handful of articles on theoretical approaches towards the goal. This review summarizes the theoretical attempts for discovery of COVID-19 drugs, their challenges and future opportunities along with efforts from the author's lab. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to examine the effects of the Covid-19 pandemic and lockdown policies in Germany on frequency and treatment of peritonsillar abscess at a tertiary referral center in Germany. Methods: This retrospective case-control study analyzed all cases of peritonsillar abscess treated from 03/01/2018 until 08/30/2022 at Augsburg ENT University Hospital, Germany, through abscess tonsillectomy and/ or incisional drainage. Data was collected and correlated to Covid-19 Stringency Index using codes based on the Institute for Hospital Remuneration System in Germany. After excluding 303 cases, 975 abscess tonsillectomy and incisional drainage cases were studied, with the first German lockdown serving as cutoff date. Treatment algorithm was maintained regardless of co-infection with Covid-19. Results: A total of 174 patients received abscess tonsillectomy as therapy, while 801 patients underwent incisional drainage. Before the first German lockdown, 452 patients received incisional drainage. Since the pandemic, 349 cases of incisional drainage were registered (OR = 0.54, 95%-CI [0.27–0.86], p = 0.04), despite no significant change in the percentage of peritonsillar abscess of all ENT emergencies. The mean age at presentation with PTA was 39.8 years, and the rate of relapse was 4.0%. The study found no association between the scale of policy measures and treatment (OR = 1.00, 95%-CI [0.99–1.01], p = 0.52). Conclusion: The results indicate that, despite the reduction in capacities due to Covid-19, the proportion of patients with peritonsillar abscess treated through abscess tonsillectomy increased at Augsburg ENT University Hospital since the first German lockdown. Hospitalization times could still be reduced with comparable relapse rates. [ABSTRACT FROM AUTHOR]

Post COVID-19 infections resulting in long COVID symptoms remain persistent yet neglected in healthcare priorities. Although long COVID symptoms are expected to decline after some time, many people continue to endure its debilitating effects affecting their daily lives. The diversity of characteristics amongst long COVID patients adds to the complexity of communicating personal health predicaments to healthcare providers. Recent research towards building an evidence base for long COVID with the aim of delivering responsive healthcare interventions for long COVID patients has utilised datasets generated from wearable devices. This paper examines the prospects presented by wearable devices for long COVID patients and physicians. It highlights distinct ethical and legal challenges arising from their use in practice. Several recommendations aiming to support their usage amongst long COVID patients are outlined for future research using wearable devices for long COVID treatment. [ABSTRACT FROM AUTHOR]

Introduction: Long COVID is defined as the continuation of symptoms, unexplainable by alternative diagnosis, longer than four weeks after SARS-CoV-2 infection. These symptoms might hinder daily activities and overall well-being, ultimately impacting quality of life (QoL). Several studies have reported fatigue as the most common symptom, followed by dyspnoea, headache and myalgia. Although it is assumed that long COVID affects 10–20% of SARS-CoV-2 infected individuals, recently numbers up to 60% were described for patients with cancer. This study uncovers the impact of the COVID-19 pandemic on QoL of patients with cancer and how long COVID manifests in this cohort. Methods: A group of 96 patients with cancer was followed from March 2022 till March 2023. Online questionnaires assessing symptoms associated with long COVID, anxiety and depression (HADS), quality of life (EORTC-QLQ-C30) and cognitive functioning (CFQ) were sent every three months during this period. Furthermore, a semi-structured focus group was organised for qualitative data collection. Results: Overall, these patients reported a negative impact of the enforced COVID-19 restrictions on the emotional and psychological wellbeing. Forty nine patients with cancer (51.0%) were infected with SARS-CoV-2 over the course of the study, of which 39 (79.6%) reported long COVID symptoms. The most commonly reported symptoms were myalgia (46.2%), fatigue (38.5%) and disturbed sleep (35.9%) and it was observed that male sex is associated with poor long COVID outcomes. Conclusion: While patients with cancer experience similar long COVID symptoms as healthy controls, the prevalence is remarkably higher possibly due to their compromised immune system and weakened physiological reserve. Plain English Summary: Since the outbreak in Wuhan (China) at the end of 2019, the Coronavirus Disease 2019 (COVID-19) pandemic has caused instability at various levels of society. While most patients completely recover from their SARS-CoV-2 infection, 10–20% of infected persons and up to 60% of infected patients with cancer develop long COVID. Long COVID is defined as the continuation of symptoms, which cannot be explained by alternative causes, that last longer than four weeks after initial infection. Even though it is generally accepted that patients with cancer are at increased risk of developing severe COVID-19, it is still unclear how long COVID manifests and whether long COVID impacts quality of life in this cohort. Hence, this study observed that patients with cancer reported a negative impact of the enforced COVID-19 restrictions on the emotional and psychological wellbeing. While patients with cancer experience similar long COVID symptoms as healthy controls, the prevalence is remarkably higher possibly due to their compromised immune system and weakened physiological reserve. [ABSTRACT FROM AUTHOR]

Purpose: Post COVID-19 Condition (PCC), being persistent COVID-19 symptoms, is reminiscent of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)—a chronic multi-systemic illness characterised by neurocognitive, autonomic, endocrinological and immunological disturbances. This novel cross-sectional investigation aims to: (1) compare symptoms among people with ME/CFS (pwME/CFS) and people with PCC (pwPCC) to inform developing PCC diagnostic criteria; and (2) compare health outcomes between patients and people without acute or chronic illness (controls) to highlight the illness burdens of ME/CFS and PCC. Methods: Sociodemographic and health outcome data were collected from n = 61 pwME/CFS, n = 31 pwPCC and n = 54 controls via validated, self-administered questionnaires, including the 36-Item Short-Form Health Survey version 2 (SF-36v2) and World Health Organization Disability Assessment Schedule version 2.0 (WHODAS 2.0). PwME/CFS and pwPCC also provided self-reported severity and frequency of symptoms derived from the Canadian and International Consensus Criteria for ME/CFS and the World Health Organization case definition for PCC. Results: Both illness cohorts similarly experienced key ME/CFS symptoms. Few differences in symptoms were observed, with memory disturbances, muscle weakness, lymphadenopathy and nausea more prevalent, light-headedness more severe, unrefreshed sleep more frequent, and heart palpitations less frequent among pwME/CFS (all p < 0.05). The ME/CFS and PCC participants' SF-36v2 or WHODAS 2.0 scores were comparable (all p > 0.05); however, both cohorts returned significantly lower scores in all SF-36v2 and WHODAS 2.0 domains when compared with controls (all p < 0.001). Conclusion: This Australian-first investigation demonstrates the congruent and debilitating nature of ME/CFS and PCC, thereby emphasising the need for multidisciplinary care to maximise patient health outcomes. [ABSTRACT FROM AUTHOR]

Objective: Long COVID, characterized by persistent symptoms post-acute COVID-19, remains a subject of intense investigation. This study focuses on pain, a common and notable symptom reported by long COVID patients. Method: A cohort of 191 individuals, initially diagnosed with mild-to-moderate COVID-19, was followed up 1.5 years later to assess the frequency, clinical characteristics, and factors associated with pain persistence. Results: Our study revealed that 31.9% of participants experienced at least one persistent pain symptom after 1.5 years. Headache emerged as the most prevalent symptom (29.8%), followed by myalgia (5.8%) and neuropathic pain (4.2%). Factors such as female gender and the presence of neuropathic pain symptom were identified as predictors of long-term headaches. Myalgia, showed associations with headache, arthralgia, and low ferritin levels. Persistent neuropathic pain symptom (4.2%) was linked to older age, female gender, sore throat, and headache. Conclusion: This study provides insights into the evolution of pain symptoms over time after COVID-19 infection, emphasizing the interconnection between different pain syndromes. This research contributes to understanding the diverse and evolving nature of pain in long COVID survivors, offering valuable insights for targeted interventions and further investigations into the underlying mechanisms of persistent pain. Key messages: Our study showed that nearly 32% of participants experienced at least one type of pain after 1.5 years of mild-to-moderate COVID-19 infection. This study provides insights into the evolution of pain symptoms over time, emphasizing the interconnection between different pain syndromes in long COVID survivors. [ABSTRACT FROM AUTHOR]

After COVID-19, various working conditions and working environment at work sites which are the premise of labour rights were treated as the agenda for consultation and agreement of labour management, collective bargaining and agreement, and the contents that need to be responded to at the national level were reviewed. In response to many points that COVID-19 has exposed individual workers' vulnerabilities and inequality, we would like to examine how to systematically compensate for this from the perspective of trade unions. And at this draft for this, it analyses the impact of COVID-19 on a survey of 918 members of six-member unions affiliated to the FKTU in South Korea. And it states that the following practical measures are needed, based on the relational approach: establishment of standards for recognising COVID-19 infectious diseases as occupational diseases and industrial accidents, establishment of standardised safety and health guidelines, strengthening the participation of trade unions in the occupational safety and health management system and labour supervision system, protection of vulnerable working groups and strengthening of labour rights, introduction of statutory paid sick leave and sickness allowance, protection of foreign migrant workers who provide essential work for the lower layers of the labour market, collection and development of COVID-19 data focussing on the labour market and labour relations, monitoring of companies receiving public funds and the establishment of an evaluation system and the involvement of trade unions, the development of various campaigns for the ratification of the ILO Social Security Convention, and a new social contract for occupational safety and health in the COVID-19 situation. [ABSTRACT FROM AUTHOR]

To outline the current status of Shock Wave Lithotripsy (SWL) in stone treatment and the changes in the mode of application after the COVID-19 pandemic along with critical factors affecting the clinical practice of this particular procedure. This study targeted national and international urology experts who could share and contribute their experiences and perspectives on SWL practices after COVID-19 era. Approximately 650 urology specialists were invited to participate in the survey based study via Google Forms. Participation was voluntary and 398 of the invited participants completed the survey, yielding an acceptable response rate of approximately 61.23%. This survey highlights significant findings that shed light on the changes in clinical SWL applications. Nearly half of SWL procedures are performed by technicians or nurses instead of experienced urologists, potentially affecting the proper application and outcomes of the procedure. SWL seemed to be applied on a guideline (GL) indications based manner by the majority of the participants. Fluoroscopy remains still as the most commonly used method for radiological assessment, underscoring the necessity to teach sonography applications to younger urologists. Key reasons for the limited clinical application of SWL include the absence of lithotripters in the departments, high lithotriptor costs and significantly lower reimbursement rates compared to PNL and fURS modalities. Finally, an increase in SWL utilization rates has been observed post-COVID-19, highlighting its certain advantages realized during this period. These findings provide important insights into the role of SWL in stone treatment and the main factors influencing its clinical application practices. Although the popularity of SWL in the management of urinary stones is being stated to decline particularly in the last two decades, data obtained in this survey emphasized well that it is still a viable option especially for stones smaller than 15 mm. Our findings highlight the enduring relevance of SWL in contemporary stone therapy protocols in the context of COVID-19, where outpatient, non-invasive procedures are preferred. In addition to the consideration of certain factors affecting the rate of its application in clinical practice, to achieve high success rates with minimal complications in SWL, strategic patient selection and adherence to procedure guidelines seem to be crucial. [ABSTRACT FROM AUTHOR]

Between 2020 and 2022, lockdown and restraining measures as a result of the COVID-19 pandemic led to changes in daily routines and also in language usage. At certain points during the pandemic, populations in some countries were unwilling or unlikely to respond to government messages, either because of the tone and analytic discourse used by leaders, or because they did not understand the messages. Linguistic markers and meanings were therefore linked to low levels of engagement, negative emotions and high levels of analytical thinking, especially in relation to the discourses of influential international leaders. We subjected sixteen speeches by eight country leaders to topic modelling and sentiment analysis in order to understand how the psychological functions of language were affected during two different periods of the COVID-19 pandemic. In this topic analysis we organize 39,073 words collected from sixteen authentic speeches delivered in two different periods of the acute phase of the pandemic. These were encoded in the Linguistic Inquiry Word Count program (LIWC), with the main aim being to identify differences between the periods. We examined the following aspects: (1) the emotional tone, analytical thinking and clout (empathy dimension); (2) the changes in these three dimensions or factors between periods 1 and 2 (February and May 2020). We observed a negative relationship between emotional tone and analytical thinking and a positive relationship between clout and emotional tone. When we considered the changes in pandemic circumstances, the psycholinguistic profiles of eight country leaders demonstrated fluctuations in language and emotions. Further reviews and research should focus on the current language and deficit wording of this population (leaders). We also note that psychologists and schoolteachers can play an important role in supporting language programmes with positive wording and by emphasising the collateral effects of face-to-face classes when teaching children to read and write. [ABSTRACT FROM AUTHOR]

To identify the differences between COVID-19-associated and non-COVID-19-associated olfactory dysfunction (OD), we analyzed demographic and clinical characteristics based on the causative virus (COVID versus non-COVID groups) in patients with post-infectious olfactory dysfunction (PIOD) who underwent the olfactory questionnaire and olfactory function test. Out of 169 patients with PIOD, 99 were diagnosed with COVID-19 (COVID group), while 70 were not (non-COVID group). The COVID group was younger and had a higher percentage of male patients as well as patients with parosmia than the non-COVID group. In the initial olfactory function tests, the TDI, discrimination and identification scores were significantly higher in the COVID group than in the non-COVID group. TDI scores were significantly increased in patients with PIOD after treatment, regardless of the group. The threshold score was significantly increased by 1.38 in the COVID group while the identification score was significantly increased by 2.67 in the non-COVID group. Patients with COVID-19-associated OD were younger in age, tended to be male, had a higher incidence of parosmia, and had better initial olfactory function test results compared to those with non-COVID-19-associated OD. Following treatment, odor detection threshold improved in the COVID group, whereas odor identification improved in the non-COVID group. [ABSTRACT FROM AUTHOR]

Background: Research on healthcare disparities in pediatric radiology is limited, leading to the persistence of missed care opportunities (MCO). We hypothesize that the COVID-19 pandemic exacerbated existing health disparities in access to pediatric radiology services. Objective: Evaluate the social determinants of health and sociodemographic factors related to pediatric radiology MCO before, during, and after the COVID-19 pandemic. Materials and methods: The study examined all outpatient pediatric radiology exams at a pediatric medical center and its affiliate centers from 03/08/19 to 06/07/21 to identify missed care opportunities. Logistic regression with the least absolute shrinkage and selection operator (LASSO) method and classification and regression tree (CART) analysis were used to explore factors and visualize relationships between social determinants and missed care opportunities. Results: A total of 62,009 orders were analyzed: 30,567 pre-pandemic, 3,205 pandemic, and 28,237 initial recovery phase. Median age was 11.34 years (IQR 5.24–15.02), with 50.8% females (31,513/62,009). MCO increased during the pandemic (1,075/3,205; 33.5%) compared to pre-pandemic (5,235/30,567; 17.1%) and initial recovery phase (4,664/28,237; 16.5%). The CART analysis identified changing predictors of missed care opportunities across different periods. Pre-pandemic, these were driven by exam-specific factors and patient age. During the pandemic, social determinants like income, distance, and ethnicity became key. In the initial recovery phase, the focus returned to exam-specific factors and age, but ethnicity continued to influence missed care, particularly in neurological exams for Hispanic patients. Logistic regression revealed similar results: during the pandemic, increased distance from the examination site (OR 1.1), residing outside the state (OR 1.57), Hispanic (OR 1.45), lower household income ($25,000–50,000 (OR 3.660) and $50,000–75,000 (OR 1.866)), orders for infants (OR 1.43), and fluoroscopy (OR 2.3) had higher odds. In the initial recovery phase, factors such as living outside the state (OR 1.19), orders for children (OR 0.79), and being Hispanic (OR 1.15) correlate with higher odds of MCO. Conclusion: The application of basic data science techniques is a valuable tool in uncovering complex relationships between sociodemographic factors and disparities in pediatric radiology, offering crucial insights into addressing inequalities in care. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic prompted a nudge for public–private cooperation in healthcare to rapidly cope with limited resource. However, Vietnam's historical reliance on a public healthcare system, combined with a traditional emphasis on socialization in the Polanyian sense, hindered the swift integration of the private sector. This research investigates path dependency in Vietnam's public health sector, using theories including path dependency, Karl Polanyi's double movement with legal analysis method to analyze the interplay of historical decisions, and socialist policies in healthcare. Recognizing these institutional and market governance flaws, a deeper understanding of the role of law becomes vital in crafting strategies for a more resilient and sustainable healthcare system in Vietnam. In this article, Ho Chi Minh City is chosen as a case study due to its notable mix of public–private healthcare facilities and its status as a leading area in infection cases during the third COVID-19 wave. The article suggests that there should be a change in the way public and private sectors work together, one that is more in line with market-driven solutions which requires solid legal framework for cooperation beyond merely mobilizing resources. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic, which has exhibited a wide clinical spectrum and an unexpected surge in mucormycosis cases, understanding various biomarkers' roles becomes pivotal. As mucormycosis leads to clinical morbidity and mortality through angioinvasion and thromboembolism, unveiling the correlation between these markers and disease progression can shed light on the reasons behind mucormycosis's emergence as an epidemic, especially following the second wave of COVID-19. This long term ambispective observational study, conducted from May 2020 to July 2023, aimed to assess specific biomarkers as predictors of severity in COVID-19-associated mucormycosis (CAM). Biomarkers measured included ESR, CRP, D-dimer, IL-8, PCT, serum ferritin, and neutrophil-lymphocyte ratio (NLR) at different time points. Data analysis employed descriptive statistics, repeated measure ANOVA, Spearman correlations, ROC curve analysis, and logistic regression. Of 290 patients, 198 completed the 2-year follow-up. Elevated baseline biomarker levels significantly decreased with treatment initiation. CRP and NLR emerged as significant predictors of severe CAM, with odds ratio 2.926 (95% CI 1.466–4.360) and 2.203 (95% CI 0.863–1.040) respectively. Factors influencing CAM progression included age, CRP, and NLR, while all biomarkers independently predicted mortality. A death prediction model using CRP, PCT, D-dimer, NLR, and IL-8 demonstrated exceptional performance, with a sensitivity of 83.1% and specificity of 100%. Elevated inflammatory markers in CAM patients showed a decline with treatment, with NLR and CRP proving crucial for predicting severity. Serial monitoring of IL-8, CRP, PCT, NLR, D-dimer, and ferritin provides insights into disease progression and prognosis. The study underscores the importance of biomarker assessment in managing CAM, especially in the context of the unpredictable clinical spectrum of COVID-19 and the subsequent mucormycosis surge. [ABSTRACT FROM AUTHOR]

Background: Social care integration refers to the incorporation of activities into health systems that assist patients with health-related social needs (HRSNs) that negatively impact the health outcomes of their patients, such as food insecurity or homelessness. Social care integration initiatives are becoming more common. The COVID-19 pandemic strained health systems while simultaneously increasing levels of unmet social needs. Objective: To describe the effects of the COVID-19 pandemic on established social care delivery in a primary care setting. Design: We used qualitative semi-structured interviews of stakeholders to assess barriers and facilitators to social care delivery in the primary care setting during the COVID-19 health emergency. Data was analyzed using a hybrid inductive/deductive thematic analysis approach with both the Consolidated Framework for Implementation Research (CFIR) and the Screen-Navigate-Connect-Address-Evaluate model of social care integration. Setting: Two safety-net, hospital-based primary care clinics with established screening for food insecurity, homelessness, and legal needs. Participants: Six physicians, six nurses, six members of the social work team (clinical social workers and medical case workers), six community health workers, and six patients (total N = 30) completed interviews. Results: Four major themes were identified. (1) A strained workforce experienced challenges confronting increased levels of HRSNs. (2) Vulnerable populations experienced a disproportionate negative impact in coping with effects of the COVID-19 pandemic on HRSNs. (3) COVID-19 protections compounded social isolation but did not extinguish the sense of community. (4) Fluctuations in the social service landscape led to variable experiences. Conclusions: The COVID-19 pandemic disrupted established social care delivery in a primary care setting. Many of the lessons learned about challenges to social care delivery when health systems are strained are important considerations that can inform efforts to expand social care delivery. [ABSTRACT FROM AUTHOR]

Despite the growing interest in gender medicine, the influence of sex and gender on human diseases, including stroke, continues to be underestimated and understudied. The COVID-19 pandemic has overall impacted not only the occurrence and management of stroke but has also exacerbated sex and gender disparities among both patients and healthcare providers. This paper aims to provide an updated overview on the influence of sex and gender in stroke pathophysiology and care during COVID-19 pandemic, through biological, clinical, psychosocial and research perspectives. Gender equity and awareness of the importance of sexual differences are sorely needed, especially in times of health crisis but have not yet been achieved to date. To this purpose, the sudden yet worldwide diffusion of COVID-19 represents a unique learning experience that highlights critical unmet needs also in gender medicine. The failures of this recent past should be kept as food for thought to inspire proper strategies reducing inequalities and to address women's health and wellbeing issues, particularly in case of future pandemics. [ABSTRACT FROM AUTHOR]

The purpose of this research is to explore the acceptance of social robots as companions. Understanding what affects the acceptance of humanoid companions may give society tools that will help people overcome loneliness throughout pandemics, such as COVID-19 and beyond. Based on regulatory focus theory, it is proposed that there is a relationship between goal-directed motivation and acceptance of robots as companions. The theory of regulatory focus posits that goal-directed behavior is regulated by two motivational systems—promotion and prevention. People with a promotion focus are concerned about accomplishments, are sensitive to the presence and absence of positive outcomes (gains/non-gains), and have a strategic preference for eager means of goal-pursuit. People with a prevention focus are concerned about security and safety, are sensitive to the absence and presence of negative outcomes (non-losses/losses), and have a strategic preference for vigilant means. Two studies support the notion of a relationship between acceptance of robots as companions and regulatory focus. In Study 1, chronic promotion focus was associated with acceptance of robots, and this association was mediated by loneliness. The weaker the promotion focus, the stronger was the sense of loneliness, and thus the higher was the acceptance of the robots. In Study 2, a situationally induced regulatory focus moderated the association between acceptance of robots and COVID-19 perceived severity. The higher the perceived severity of the disease, the higher was the willingness to accept the robots, and the effect was stronger for an induced prevention (vs. promotion) focus. Models of acceptance of robots are presented. Implications for well-being are discussed. [ABSTRACT FROM AUTHOR]

Background: Drawing on cognitive appraisal theory, this study investigates the effect of daily COVID-19 news on daily anxiety and protective behaviors (e.g., wearing masks and washing hands). This study proposes that such processes, leading to self-protection, are highly likely when individuals have directly experienced the Wuhan epidemic at the beginning of 2020, which is the most serious COVID-19 outbreak in history. Methods: The positive effect of daily COVID-19 news on daily protective behaviors through daily COVID-19 anxiety was examined in this study, which was hypothesized to be accentuated by direct Wuhan epidemic experience. An online survey based on the experience sample method (ESM) was conducted during the COVID-19 epidemic in Hebei Province, China, at the beginning of 2021, in which 82 working adults participated in a daily survey for five consecutive days. Once a day during the five-day period, the participants reported their daily COVID-19 news exposure, daily COVID-19 anxiety, and daily protective behaviors. Wuhan epidemic experience was measured by the place of residence of the participants during the 2020 Wuhan epidemic through a separate general survey conducted before the ESM survey. Results: Analysis of 392 day-level data confirmed the positive link between daily COVID-19 news and daily protective behaviors, mediated by daily COVID-19 anxiety (b = 0.03, SE = 0.01, p = 0.018). Furthermore, the mediated effect was significant for the participants with direct COVID-19 experience in Wuhan in 2020 (b = 0.05, SE = 0.03, p = 0.041) but not significant for those without direct experience in Wuhan (b = 0.01, SE = 0.01, p = 0.461). Thus, the results confirmed the positive moderating role of Wuhan epidemic experience. Conclusions: The analysis reveals the psychological mechanism through which COVID-19 information promotes self-protection measures to control the infectious disease and highlights the importance of direct COVID-19 experience in generating such an effect. [ABSTRACT FROM AUTHOR]

Background: Covid-19 pandemic highlighted the need for implementing Personal Electronic Health Records (PEHR) for patients' data management. Furthermore, this pandemic underscored the relevance for integrated and interoperable Electronic Health Records (EHR) to support disease surveillance, hospital capacity planning and resource management (Peek N, Sujan M, Scott P (2020) Digital health and care in pandemic times: impact of COVID-19. BMJ Health Care Inf 27(1):e100166. https://doi.org/10.1136/bmjhci-2020-100166). Due to the lack of comprehensive patients' record in plastic, reconstructive and aesthetic surgery, Axon's myHealth app offers a break-through patient-centric design allowing patients to be in control of their records and updating them in real-time for their plastic and aesthetic care providers to have a clearer understanding of patients' history and progress from pre-op to post-op. Methods: The Axon Dublin survey took place during Covid-19 pandemic in two phases: Phase 1 aimed to assess the feasibility of patients integrating the Axon myHealth application into their clinical visits. Testing occurred in a clinical environment, where patients were encouraged to download and use the Axon system with a health practitioner (HP) present. Phase 2 focused on home testing, evaluating patients' willingness to manage their health remotely with HP assistance. This phase included self-testing activities such as performing rapid Covid-19 antigen tests, recording medical history, and measuring blood pressure at home. Results: The Axon Dublin Study aimed to assess patient engagement, clinical impact, and cost-effectiveness of the Axon myHealth application. Over 85% of patients showed interest in owning a Personal Electronic Health Record. Notably, 36% continuously monitored chronic conditions. Clinical decisions, informed by patient data, saw 61.9% compliance. Noteworthy, 23% of hypertensive participants required immediate medication changes. Patient self-capture of data reduced consultation time. Public health implications were significant, with 39% vaccinated and 31% reporting complications. High user satisfaction (97%) demonstrated the app's effectiveness in infection control and chronic care. Conclusions: Offering patients the ability to update and control their data is a growing interest, with a clear need in plastic and aesthetic surgery to have a better understanding of a patient's medical past and progress throughout the surgical process and period. This platform, which is time and cost efficient, can only facilitate personalised care and improve outcomes while maintaining patient's confidentiality. Level of evidence: Not gradable. [ABSTRACT FROM AUTHOR]

Although COVID-19 infection is an immunosuppressant disease, many immunosuppressant agents, such as pulse methylprednisolone (PMP), dexamethasone (DXM), and tocilizumab (TCZ), were used during the pandemic. Secondary infections in patients with COVID-19 have been reported recently. This study investigated these agents' effects on secondary infections and outcomes in patients with COVID-19 in intensive care units (ICUs). This study was designed retrospectively, and all data were collected from the tertiary intensive care units of six hospitals between March 2020 and October 2021. All patients were divided into three groups: Group I [GI, PMP (−), DXM (−) and TCZ (−)], Group II [GII, PMP (+), DXM (+)], and Group III [GIII, PMP (+), DXM (+), TCZ (+)]. Demographic data, PaO/FiO2 ratio, laboratory parameters, culture results, and outcomes were recorded. To compare GI-GII and GI-GIII, propensity score matching (PSM) was used by matching 14 parameters. Four hundred twelve patients with COVID-19 in the ICU were included in the study. The number of patients with microorganisms ≥ 2 was 279 (67.7%). After PSM, in GII and GIII, the number of (+) tracheal cultures and (+) bloodstream cultures detected different microorganisms ≥ 2 during the ICU period, neuropathy, tracheotomized patients, duration of IMV, and length of ICU stay were significantly higher than GI. The mortality rate was similar in GI and GII, whereas it was significantly higher in GIII than in GI. The use of immunosuppressant agents in COVID-19 patients may lead to an increase in secondary infections. In addition, increased secondary infections may lead to prolonged ICU stay, prolonged IMV duration, and increased mortality. [ABSTRACT FROM AUTHOR]

Background: After abandoning the zero-case strategy for COVID-19 in December 2022 in mainland China, the Hong Kong Special Administrative Region of China (HKSAR) has undergone an anticipated surge of the prevalence of COVID-19, as well as other influenzas, such as influenza A/H1N1, influenza A/H3N2, and influenza B as well. Noteworthy, people are usually concerned about the mutual influences between two families of respiratory viruses, like co-circulation or co-infection. Methods: We fitted a unified model to weekly reported severe COVID-19 cases and the confirmed influenza A laboratory cases in HKSAR, respectively, using the R package POMP to obtain the best fitting and parameter estimates. The reconstructed transmission rates of the COVID-19 (/influenza A) versus the weekly reported influenza A (/COVID-19) confirmations between April 2022 and April 2024 were also compared. Results: Our numerical results suggest that influenza confirmations remained either at a very low level or were absent before 2023, while starting from 2023, the influenza epidemic re-emerged as expected because of the resumption of international travels and other social communications. Besides, the peak of influenza cases in April 2023 favored the form of the peak of COVID-19 between May–June, 2023. Additionally, during the sudden abolishment of the zero-case policy in mainland China (December 2022 to January 2023), we estimated that there were approximately 381 cases imported from mainland China into HKSAR. Conclusions: We estimated the potential number of imported COVID-19 severe cases from mainland China to Hong Kong and revealed some potential population-level interference between the two families of respiratory viruses. [ABSTRACT FROM AUTHOR]

COVID-19 associated pulmonary aspergillosis (CAPA) had been reported, and raised concern about this secondary infection due to the high mortality. This study aimed to investigate the risk factors for CAPA. The enrolled 114 COVID-19 patients were further divided into CAPA group and non-CAPA group. Demographic characteristics, underlying diseases, laboratory parameters and therapeutic schedule between the two groups were compared to identify the independent risk factors for CAPA by univariate analysis and multivariable logistic regression analysis. Sensitivity and specificity of independent risk factors were confirmed by receiver operating characteristic (ROC) curve analysis. Univariate analysis showed that renal transplant, IL-6 and CRP levels, decreased CD4 + T cell and CD8 + T cell, duration of antibiotics therapy, and prolonged mechanical ventilation were risk factors for development of CAPA. These factors were further analyzed by multivariable logistic regression analysis and the results indicated that elevated IL-6 level, decreased CD4 + T cell and prolonged mechanical ventilation could be recognized as independent risk factors for CAPA in COVID-19 patients. Identification of these risk factors is essential to initiate antifungal therapy as soon as possible to improve outcome of patients with CAPA. [ABSTRACT FROM AUTHOR]

The polymorphism of HLA class II genes was studied in COVID-19 survivors and vaccinated people. Six allelic variants of DQA1, 10 of DQB1, and 11 of DRB1 were identified. The DQA1*05:01 allele predominated in vaccinated volunteers and the DQA1*02:01, *01:03, and DQB1*06:02-8 alleles predominated in convalescents. In the groups with DQA1*01:01, *05:01 and *06:01 alleles, a high proportion of individuals seropositive for SARS-CoV-2 S protein was found. In the group with DQA1*02:01 allele, 40% of volunteers were found to have IgM and a significantly lower quantity of IgG to N protein of coronavirus. Comparative analysis showed a statistically significant increase in IL-10 levels in carriers of the DQA1*01:01 allele, which may indicate the influence of this allele on cytokine production. Further study of the immune response indices and their association with HLA class II gene polymorphism will provide better understanding of the mechanisms of COVID-19 immunogenesis. [ABSTRACT FROM AUTHOR]

Purpose: To determine whether (1) healthcare access at onset of the pandemic and (2) age, gender, socioeconomic status (SES), and pre-existing health status were associated with change in health-related quality-of-life (HRQoL) during the COVID-19 pandemic. The study includes a general population sample of five countries. Methods: An online questionnaire was administered to respondents from Greece, Italy, the Netherlands, the UK, and the US at the onset of the COVID-19 pandemic between April 22nd and May 5th of 2020, and 1 year later between May 23rd and June 29th of 2021. The questionnaire included questions on demographic background, health status, and HRQoL. The primary outcome was change in HRQoL as measured by the EQ-5D-5L instrument. Specifically, the EQ-5D-5L index and EQ VAS were used. Healthcare access was quantified with regard to the respondent's ease of getting an appointment, waiting time, and opportunity to contact the provider and during analysis dichotomized into "sufficient" versus "insufficient". Linear regression analysis was performed with change in HRQoL as dependent variable and background variables as independent variables. Results: In total, 6,765 respondents completed the second questionnaire. 19.8% of total respondents reported insufficient healthcare access. Respondents with insufficient healthcare had both more improved and deteriorated HRQoL compared to respondents with sufficient healthcare, whose HRQoL remained unchanged. We did not find significant interactions between age, gender, SES and/or chronic disease status with healthcare access at onset of the COVID-19 pandemic. Conclusion: Healthcare access was not associated with cumulative differences in change in HRQoL over a 1-year period in strata of age, gender, SES, and chronic disease status. [ABSTRACT FROM AUTHOR]

Background: People who were disabled from working reported substantially worse depression in recent research [1] despite adjustment for demographic covariates, cognitive-appraisal processes, and COVID-specific stressors, thus motivating the present work. Objective: This study sought to "drill down" to understand employment-group differences (employed, retired, unemployed, disabled) in cognitive factors, and how these factors played into paths to depression during COVID early in the pandemic and depression trajectories over 15.5 months of follow-up. Methods: This longitudinal cohort study (n = 771) included chronically ill and general-population samples in the United States, characterized into the same depression-trajectory groups as the earlier study [1]. The Quality-of-Life Appraisal Profilev2 Short-Form assessed cognitive-appraisal processes. COVID-specific scales assessed hardship, worry, and social support. Chi-square, Analysis of Variance, classification and regression tree, and random effects modeling investigated factors associated with reported depression over time specifically by employment group, rather than in the whole sample which was the focus of the earlier study. Results: Disabled participants were disproportionately represented in the stably depressed trajectory group, reporting more hardship and worry, and lower social support than employed and retired participants (p < 0.0001). They were more likely to focus on health goals, problem goals, and emphasizing the negative (p < 0.001). They had different paths and cut-points to depression than employed/unemployed/retired participants. Even mild endorsement of emphasizing the negative and recent changes predicted higher depression. COVID-specific stressors and cognitive-appraisal processes were less implicated in depression among disabled participants compared to others. Conclusions: Disabled participants were at greater risk of stable depression during the COVID pandemic. Small increases in emphasizing the negative were a path to worse depression, and disabled participants' depression may be less reactive to external circumstances or ways of thinking. [ABSTRACT FROM AUTHOR]

In 2020, three crises coalesced to transform the clinical care landscape of addiction medicine in the United States (US). The opioid overdose crisis (crisis #1), which had been contributing to excess US mortality for over two decades, worsened during the COVID-19 pandemic (crisis #2). The racial reckoning (crisis #3) spurred by the murder of George Floyd at the hands of police impacted clinical care, especially in safety net clinical settings where the majority of people targeted by police violence, and other forms of structural violence, receive healthcare to mend both physical and psychological wounds. Collectively, the three crises changed how providers and patients viewed their experiences of clinical surveillance and altered their relationships to the violence of US healthcare. Drawing from two different research studies conducted during the years preceding and during the COVID-19 pandemic (2017–2022) with low income, safety net patients at risk for opioid overdose and their care providers, I analyze the relationship between surveillance and violence in light of changes wrought by these three intersecting health and social crises. I suggest that shifting perceptions about surveillance and violence contributed to clinical care innovations that offer greater patient autonomy and transform critical components of addiction medicine care practice. [ABSTRACT FROM AUTHOR]

A robust body of research using the Narrative Policy Framework (NPF) has explored the effect of external messages on individual affective responses and behavior, typically at a single point in time. Missing from this micro-level analysis is a careful assessment of the ways in which individuals process information, whether their internal cognitions are communicated in narrative structure, and what the durability of any narrative structure is over time. We address this gap by examining (1) the extent to which individuals recall "memorable messages" in narrative form (e.g., the use of characters and morals) and with what content (e.g., who is cast in these character roles) and (2) whether individuals' narrative form and content change across time. Memorable messages are pieces of information that are remembered for an extended period of time. We draw on data derived from a multi-wave panel survey of residents in six U.S. states (Colorado, Iowa, Louisiana, Massachusetts, Michigan, and Washington) during the first year of the COVID-19 pandemic. Respondents were asked to recall a memorable message, anything they heard or read that has shaped how they think about the risk of COVID-19. We find that participants articulate recalled memorable messages in narrative form about two-thirds of the time, consistent with how the NPF expects homo narrans to make sense of complex information. However, narratives containing morals are articulated less frequently than those using characters alone. Additionally, individuals' narrative content changes over time to include new information such as new policy solutions (e.g., mask wearing). Notably, recalled messages lose their narrative form over time. [ABSTRACT FROM AUTHOR]

Introduction: This study reports our experiences with systematic retinal screening in Denmark through optometrists with access to tele-ophthalmological services before, during, and after the COVID-19 pandemic. Methods: We evaluated an optometrist-based retinal screening system with a referral option for tele-ophthalmological service by a consultant ophthalmologist within the time period of August 1, 2018 to September 30, 2023. The optometrist collected patient history, refraction, best-corrected visual acuity, intraocular pressure, basic slit-lamp examination, 4-in-1 visual field report, and retinal imaging using color fundus 45° photography. Tele-ophthalmological services were provided by consultant ophthalmologists. Within pre-defined periods of pre-COVID-19, COVID-19, and post-COVID-19, we evaluated the rate of referrals to the tele-ophthalmological service, diagnoses made, and referrals to the public healthcare system. Results: A total of 1,142,028 unique individuals, which corresponded to 19.1% of the entire population of Denmark, underwent screening by the optometrists; 50,612 (4.4%) of these individuals were referred to the tele-ophthalmological examination by consultant ophthalmologists. A referral for further ophthalmic examination, either at hospital or at an ophthalmic practice, was made for 10,300 individuals (20.4% of those referred for tele-ophthalmology, corresponding to 0.9% of the population screened). The referral rate from the screening to the tele-ophthalmological service increased from before COVID-19 (3.4%) to during COVID-19 (4.3%) and further after COVID-19 (6.4%). This increase coincided with an increasing prevalence of conditions seen in the tele-ophthalmological service. Conclusion: During a period of 5 years, 19.1% of the entire population of Denmark underwent retinal screening. This provided an adjunctive health service during a period of severe strain on the public healthcare system, while limiting the number of excessive referrals to the public healthcare system. Temporal trends illustrated an increased pattern of use of a large-scale tele-ophthalmological system. [ABSTRACT FROM AUTHOR]

Background: This report describes the U.S. Food and Drug Administration (FDA) experience in establishing a dedicated mailbox, and in publishing related guidance, to address concerns among interested parties regarding the conduct of clinical trials during the COVID-19 public health emergency (PHE). Methods: Six hundred and thirty-four mailbox inquiries were received from March 2020 through February 2022. Qualitative methods were used to provide a structured description of, and identify common themes among, these inquiries. Results: Most inquiries came from U.S.-based interested parties, including sponsors, industry trade associations, academic institutions, hospitals, clinics, research sites, trial participants, and individual persons. Approximately one-fifth of questions were related directly to COVID-19 (e.g., proposals for treatment); other inquiries were related to conduct of routine trial-related activities, and concerns were often focused on maintaining compliance with good clinical practice. In March 2020, FDA published a guidance titled Conduct of Clinical Trials of Medical Products During the COVID-19 Public Health Emergency; the document was subsequently revised eight times based in part on issues raised in mailbox inquiries. Conclusions: The dedicated mailbox enabled expedited communication among invested parties during the COVID-19 PHE; FDA also provided updates of the aforementioned guidance. These efforts supported the continuance of ongoing trials and the initiation of new trials during the PHE in accordance with good clinical practice guidelines, thereby helping to ensure the safety of trial participants while maintaining the quality of trial data. By soliciting and responding to trial-related inquiries and addressing corresponding needs and concerns, FDA improved transparency and communication. [ABSTRACT FROM AUTHOR]

Background: Long COVID (LC) is a frequent complication of COVID infection. It usually results in cognitive impairment, myalgia, headache and fatigue. No effective treatment has been found yet. We aimed to explore the effect of glucocorticoid (GC) treatment during COVID-19 infection on the later development of LC. Methods: We examined electronic health records from Clalit Health Services for documentation of COVID-19, GC treatment, and LC frequency. Background diagnoses, demographic data, hospitalization rates, and the use of anti-COVID drugs were recorded. Results: 1,322,599 cases of COVID-19 infection met the inclusion criteria; 13,530 patients (1.02%) received GC treatment. 149,272 patients, 11.29% of COVID-19 patients were diagnosed with LC. Age and female gender were prognostic risk factors for LC (OR 1.06 for age, OR 1.4 for female gender; p value < 0.0001). Background psychiatric diagnoses, migraine, backache and irritable bowel syndrome were predisposing conditions for LC (OR 2.7, p value <.0001). Higher BMI was associated with a greater probability of LC (OR of 1.25 for obese population). COVID patients who received GC were diagnosed with LC more frequently: 2294 cases (16.95%) compared to 146,978 cases (11.23%) in the non-GC group; (adjusted OR of 1.28 ± 0.07, 95% CI, p < 0.0001). Conclusions: GC treatment during COVID-19 is correlated with the development of LC. In vivo and animal models may be used to explore the mechanism of this correlation. Future directions include prospective studies as well. [ABSTRACT FROM AUTHOR]

Objectives: To investigate changes in risk of infection and mental distress in healthcare workers (HCWs) relative to the community as the COVID-19 pandemic progressed., Methods: HCWs in Alberta, Canada, recruited to an interprovincial cohort, were asked consent to link to Alberta's administrative health database (AHDB) and to information on COVID-19 immunization and polymerase chain reaction (PCR) testing. Those consenting were matched to records of up to five community referents (CRs). Physician diagnoses of COVID-19 were identified in the AHDB from the start of the pandemic to 31 March 2022. Physician consultations for mental health (MH) conditions (anxiety, stress/adjustment reaction, depressive) were identified from 1 April 2017 to 31 March 2022. Risks for HCW relative to CR were estimated by fitting wave-specific hazard ratios., Results: Eighty percent (3050/3812) of HCWs consented to be linked to the AHDB; 97% (2959/3050) were matched to 14,546 CRs. HCWs were at greater risk of COVID-19 overall, with first infection defined from either PCR tests (OR=1.96, 95%CI 1.76-2.17) or physician records (OR=1.33, 95%CI 1.21-1.45). They were also at increased risk for each of the three MH diagnoses. In analyses adjusted for confounding, risk of COVID-19 infection was higher than for CRs early in the pandemic and during the fifth (Omicron) wave. The excess risk of stress/adjustment reactions (OR=1.52, 95%CI 1.35-1.71) and depressive conditions (OR=1.39, 95%CI 1.24-1.55) increased with successive waves during the epidemic, peaking in the fourth wave., Conclusion: HCWs were at increased risk of both COVID-19 and mental ill-health with the excess risk continuing late in the pandemic., (© 2024. The Author(s).)