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BACKGROUND: The COG-UK hospital-onset COVID-19 infection (HOCI) trial evaluated the impact of SARS-CoV-2 whole-genome sequencing (WGS) on acute infection, prevention, and control (IPC) investigation of nosocomial transmission within hospitals. AIM: To estimate the cost implications of using the information from the sequencing reporting tool (SRT), used to determine likelihood of nosocomial infection in IPC practice. METHODS: A micro-costing approach for SARS-CoV-2 WGS was conducted. Data on IPC management resource use and costs were collected from interviews with IPC teams from 14 participating sites and used to assign cost estimates for IPC activities as collected in the trial. Activities included IPC-specific actions following a suspicion of healthcare-associated infection (HAI) or outbreak, as well as changes to practice following the return of data via SRT. FINDINGS: The mean per-sample costs of SARS-CoV-2 sequencing were estimated at £77.10 for rapid and £66.94 for longer turnaround phases. Over the three-month interventional phases, the total management costs of IPC-defined HAIs and outbreak events across the sites were estimated at £225,070 and £416,447, respectively. The main cost drivers were bed-days lost due to ward closures because of outbreaks, followed by outbreak meetings and bed-days lost due to cohorting contacts. Actioning SRTs, the cost of HAIs increased by £5,178 due to unidentified cases and the cost of outbreaks decreased by £11,246 as SRTs excluded hospital outbreaks. CONCLUSION: Although SARS-CoV-2 WGS adds to the total IPC management cost, additional information provided could balance out the additional cost, depending on identified design improvements and effective deployment.
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Background: Immunocompromised persons are disproportionately affected by severe SARS-CoV-2 infection, but immune compromise is heterogenous, which may impact viral dynamics. We hypothesized that higher degrees of compromised immunity are associated with higher viral shedding and slower viral clearance in the absence of COVID-19 therapeutics. Method(s): Participants enrolled in ACTIV-2/A5401, a platform trial for COVID-19 therapeutics in non-hospitalized adults within 10 days of symptom onset, received either an active treatment or placebo between 8/2020 and 7/2021. Participants were categorized based on the extent of immunosuppression into none, mild, moderate and severe categories at enrollment (day 0). Longitudinal anterior nasal (AN) and plasma SARS-CoV-2 levels were measured with a quantitative PCR assay. Regression models assessed associations between immunocompromise severity and viral levels (VL) at day 0, and longitudinally among those on placebo with quantifiable RNA at day 0. Multivariate analyses adjusted for demographics and symptom duration and vaccination status at day 0. Result(s): Immunocompromised (mild 383, moderate 159, severe 35) and immunocompetent (1956) participants had comparable symptom durations at day 0 (median 6 days) and most were unvaccinated (~95%). AN VL at day 0 was higher in the moderate/severe group compared to the immunocompetent group (adjusted difference in means: 0.47 log10 copies/mL, 95% CI 0.12, 0.83). While AN VL decayed at similar rates among all groups from day 0 to 3, there was a trend towards higher cumulative AN VLs across the 28-day follow-up in the moderate/severe group compared to immunocompetent group (adjusted fold difference in VL AUC 1.63, 95%CI 0.95, 2.77). The mild group showed no differences in day 0 VL or AUC compared to the immunocompetent group. The frequency of detectable plasma SARS-CoV-2 RNA was similar at day 0 across all groups (overall 21%), but there appeared to be a higher proportion of immunocompromised participants with detectable plasma viral RNA at day 7 (moderate/severe 2/23 [9%], mild 5/44 [11%]) compared to the immunocompetent group (8/282, 3%). Conclusion(s): Before emergence of Omicron and widespread vaccination, moderate/severe immunocompromised status was associated with higher nasal viral levels at study enrollment and showed a trend towards higher cumulative AN viral load, and all immunocompromised groups appeared to have more persistent plasma viremia during follow-up.
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Background: Reliable biomarkers of COVID-19 severity and outcomes are critically needed for clinical and research applications. We evaluated associations between anti-Spike IgG and SARS-COV-2 nucleocapsid antigen (N Ag) in plasma with clinical outcomes in outpatients with COVID-19. Method(s): We used data from 229 non-hospitalized, US-based adults with COVID-19 who enrolled between January and July 2021 into the placebo arm of the ACTIV-2/A5401 platform trial within 10 days of symptom onset. Pretreatment (day 0) plasma was analyzed by the quantitative Simoa SARS-CoV-2 IgG antibody (anti-Spike) assay (lower limit of quantification [LLoQ] 0.77ug/ mL), and the quantitative Simoa SARS-CoV-2 N Protein Advantage (Quanterix) measuring N Ag (LLoQ 3pg/mL). In addition to analyses for < LLoQ vs >=LLoQ anti-Spike and N Ag, we categorized participants into five N Ag groups (< 3 pg/ml;3-< 100 pg/ml;100-< 1,000 pg/ml;1,000-< 2,500 pg/ml;>=2,500 pg/ ml). Associations between SARS-CoV-2 anti-Spike and N Ag levels and clinical outcomes (all-cause hospitalization/death through day 28 and time to symptom improvement or resolution for two consecutive days from day 0 status) were estimated using log-binomial and Cox regression models, respectively. Result(s): At day 0, 40% had anti-Spike levels >=LLoQ and 64% of participants had plasma N Ag levels >=LLoQ. Participants with anti-Spike levels < LLoQ compared to those who had quantifiable anti-Spike at day 0, had an increased risk of hospitalization/death (16% vs 2%, RR [95% confidence interval (CI)]: 7.3 [1.8, 30.1]), and a significantly longer time to symptom improvement (median [Q1, Q3] 14 days [8, >27] vs 9 days [4, 16], hazard ratio [HR]: 0.6 [95%: CI: 0.4, 0.8], p< 0.001). Participants with higher N Ag levels at day 0 had an increased risk of hospitalization or death, ranging from 1% for < 3 pg/ml to 70% for >=2500 pg/ml (Figure). Compared to individuals who had N Ag levels < LLoQ at day 0, those in the highest category of N Ag levels (>=2500 pg/mL) experienced a significantly longer time to symptom improvement (median [Q1, Q3]: 25 days [13, >27] vs 10 days [5, 20];HR: 0.4 [95% CI: 0.2, 0.7];p=0.04). Conclusion(s): At study entry, the absence of Spike antibodies and higher levels of plasma SARS-CoV-2 N Ag predicted hospitalizations and death in untreated outpatients with COVID-19. These parameters may serve as informative biomarkers for risk stratification in the evaluation of outpatients with COVID-19. (Figure Presented).
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Background: SARS-CoV-2 variants resistant to monoclonal antibodies, and drug-drug interactions and potential mutagenicity of direct acting antivirals, heightens the need for additional therapeutics to prevent progression to severe COVID-19. Exogenous interferon beta is a promising therapeutic option against SARS-CoV-2 given its broad-spectrum antiviral activity and data suggesting impaired endogenous IFN production in individuals with severe disease. Method(s): The safety and efficacy of orally inhaled nebulized interferon-beta1a (SNG001) was evaluated in a Phase II randomized controlled trial on the ACTIV-2/ A5401 platform (NCT04518410). Adult outpatients with confirmed SARS-CoV-2 infection within 10 days of symptom onset were randomized to SNG001 once daily for 14 days or blinded pooled placebo. Primary outcomes included treatment-emergent Grade >=3 adverse event (TEAE) through day 28;time to symptom improvement of 13 targeted COVID-19 symptoms collected by daily study diary through day 28;and SARS-CoV-2 RNA < lower limit of quantification (LLoQ) from nasopharyngeal (NP) swabs at days 3, 7, and 14. All-cause hospitalization or death through day 28 was a key secondary outcome. Result(s): Of 221 participants enrolled at 25 US sites between February and August 2021, 220 (110 SNG001, 110 placebo) initiated study intervention, with a median age of 40 years, 55% female, and 20% SARS-CoV-2 vaccinated. There was no significant difference between SNG001 and placebo in Grade >=3 TEAEs (4% vs 8%, Fisher's exact test p=0.25). Median time to symptom improvement was 13 days for SNG001 and 9 days for placebo (Gehan-Wilcoxon test p=0.17). There was no difference in the proportion of participants with SARS-CoV-2 RNA < LLoQ at day 3, 7 or 14 (SNG001 vs placebo, Day 3: 28% vs. 39%;Day 7: 65% vs. 66%;Day 10: 91% vs. 91%;joint Wald test p=0.41). There were fewer hospitalizations with SNG001 (n=1;1%) compared with placebo (n=7;6%), but this difference was not statistically significant (Fisher's exact test p=0.07;Figure). All hospitalizations were due to COVID-19 and occurred among unvaccinated participants without protocol-defined high-risk factors. Conclusion(s): Inhaled nebulized SNG001 was safe and well tolerated but did not reduce SARS-CoV-2 RNA levels in the nasopharynx nor decrease time to improvement of COVID-19 symptoms in outpatients with mild-to-moderate COVID-19. The non-statistically significant decrease in hospitalizations among SNG001 participants warrants further investigation in a phase 3 clinical trial. Cumulative incidence of hospitalization or death comparing SNG001 vs. placebo.
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Background: Whether early antiviral therapy reduces the risk of Long COVID is not known. The combination SARS-CoV-2 monoclonal antibodies amubarvimab+romlusevimab (A+R) were highly effective in reducing 28-day all-cause hospitalization/death among high-risk adults with mild-to-moderate COVID-19 in the randomized, placebo-controlled ACTIV-2/A5401 trial. We assessed the impact of A+R on late outcomes including Long COVID in ACTIV-2. Method(s): A long-term (LT) symptom diary and 2 health-related quality of life questionnaires (EQ-5D-5L and SF-36v2) were completed at week 36. The primary analysis compared the proportion of participants with the composite outcome of self-reported Long COVID (having any COVID-19 symptoms present on a global assessment question in LT diary) at week 36, or hospitalization or death by week 36 between A+R and placebo using regression models with inverse probability weighting to account for incomplete outcome data;supplemental analysis compared the proportion with Long COVID among those alive. Other analyses were restricted to observed data only. Result(s): 807 were randomized and received A+R (n=405) or placebo (n=402) from Jan-July 2021. At entry, median age was 49 years, 51% were female, >99% cis-gender, 17% Black/African American, 50% Hispanic/Latino, and 9% previously received COVID vaccination. 70 (17%) on A+R and 93 (23%) on placebo met the primary outcome;113 (14%) had incomplete data for determining the outcome (Figure 1). Accounting for incomplete data, weighted Risk Ratio [wRR]=0.74;95% CI: 0.56, 0.97;p=0.03. The difference was driven by fewer hospitalizations/deaths in the A+R arm (5%) than placebo arm (15%), particularly by day 28. Excluding 12 participants who died by week 36, frequency of Long COVID was similar in the arms, 16% for A+R and 14% for placebo (wRR=1.09;95%CI: 0.75, 1.58;p=0.64). There were no differences in the proportions reporting return to pre-COVID health (global assessment) or individual symptoms, or in number of symptoms reported or distribution of worst symptom severity. RRs favored the A+R arm on several EQ-5D-5L domains, but none met statistical significance. No differences were observed on SF-36v2 assessments. Conclusion(s): While A+R was highly effective in preventing all-cause hospitalizations and deaths in high-risk outpatients with mild-to-moderate COVID-19, there was no meaningful effect of treatment on measures of Long COVID at 36 weeks. Additional interventions are needed for Long COVID prevention. (Figure Presented).
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Background: Rebound of SARS-CoV-2 RNA and symptoms has been reported in people treated with nirmatrelvir/ritonavir. Since the natural course of viral and symptom trajectories during COVID-19 have not been well described, we evaluated the incidence of viral rebound and symptom relapse in untreated individuals with mild-to-moderate COVID-19. Method(s): This analysis included 563 participants randomized to placebo in the ACTIV-2/A5401 platform trial. Participants recorded the severity (scored as 0-3) of each of 13 targeted symptoms daily from days 0-28, with symptom score being the summed score (0-39). Symptom rebound was defined as >=4 point increase in symptom score between the maximum and the preceding minimum score. Anterior nasal (AN) swabs were collected for SARS-CoV-2 RNA testing on days 0-14 and 28. Viral rebound was defined as a >=0.5 log10 RNA copies/mL increase from the immediately preceding time point to a level >=3.0 log10 RNA copies/mL, with high-level rebound defined as an increase of >=0.5 log10 copies/mL to a level >=5.0 log10 RNA copies/mL. To mirror the timing of a 5-day nirmatrelvir/ritonavir course, a supportive analysis was conducted where participants were only classified as rebounders if their rebounds occurred on or after day 5. Result(s): Symptom rebound was identified in 26% of participants at a median [Q1, Q3] of 6 [4, 9] days after study entry and 11 [9, 14] days after initial symptom onset. Individuals with symptom rebound were more likely to be female, at high risk for progression to severe disease, have shorter time since symptom onset at study entry, and have higher symptom score and higher AN viral levels day 0. Viral rebound was detected in 32%, with high-level rebound in 13% of participants. Participants with viral rebound were older, more likely to be at low risk for progression to severe disease and had higher median AN viral level at day 0. Most symptom and viral rebound were transient with 89% of symptom rebound and 95% of viral rebound events occurring for only a single day before improving. The combination of symptom and high-level viral rebound was observed in 3% of participants. In the supportive analysis of rebound occurring >=5 days after study entry, 22% and 20% of participants met symptom and viral rebound criteria, respectively, but only 1.2% of participants met criteria for both symptom and high-level viral rebound. Conclusion(s): Symptom or viral rebound in the absence of antiviral treatment is common, but the combination of symptom and viral rebound is rare.
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Background: Amubarvimab and romlusevimab are anti-SARS-CoV-2 monoclonal antibodies (mAbs) that significantly reduced the risk of hospitalizations or death in the ACTIV-2/A5401 trial. SARS-CoV-2 variants (e.g., Delta, Epsilon, Lambda) harbor mutations against romlusevimab. We evaluated viral kinetics and resistance emergence in individuals treated with mono versus dual-active mAbs. Method(s): The study population included 789 non-hospitalized participants at high risk of progression to severe COVID-19 enrolled in the ACTIV-2/ A5401 platform trial (NCT04518410) and received either placebo (n=400) or amubarvimab plus romlusevimab (n=389). Anterior nasal (AN) swabs were collected for SARS-CoV-2 RNA testing on days 0-14, and 28. Spike (S) gene nextgeneration sequencing were performed on samples collected at study entry and the last sample with viral load >=2 log10 SARS-CoV-2 RNA copies per ml. We compared viral load kinetics and resistance emergence with single versus dual-active mAbs by categorizing participants as harboring variants sensitive to amubarvimab alone (Delta, Epsilon, Lambda, Mu) versus those sensitive to both mAbs (Alpha, Beta, Gamma, Others). Result(s): Study participants receiving single and dual-active mAbs had similar demographics, baseline AN viral load, baseline symptom score and duration since symptom onset. The most common SARS-CoV-2 variant in the study population was Delta (26%) followed by Gamma (19%), Alpha (12%), and Epsilon (10%). In those with successful sequencing, 37% (N=111) were infected with a variant sensitive to amubarvimab alone and 63% (N=188) were infected with a variant sensitive to both mAbs. Compared to treatment with a singleactive mAb, treatment with dual-active mAbs led to faster viral load decline at study day 3 (p=0.0001) and day 7 (p=0.003). Treatment-emergent resistance mutations were significantly more likely to be detected after amubarvimab plus romlusevimab treatment than placebo (2.6% vs 0%, P=0.0008). mAb resistance was also more frequently detected in the setting of single-active mAb treatment compared to dual-active mAb treatment (7.2% vs 1.1%, p=0.007). Participants with emerging mAb resistance had significantly higher pretreatment SARS-CoV-2 nasal viral RNA levels. Conclusion(s): Compared to single-active mAb therapy, dual-active mAb therapy led to significantly faster viral load decline and lower risk of emerging mAb resistance. Combination mAb therapy should be prioritized for the next generation of mAb therapeutics.
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Background: Within the ACTIV-2/A5401 platform (NCT04518410), the safety and efficacy of tixagevimab/cilgavimab (T/C), an anti-SARS-CoV-2 monoclonal antibody combination, was studied in outpatients with COVID-19. Intravenous (IV) and intramuscular (IM) administration of T/C were assessed. Method(s): Non-hospitalized adults >=18 years enrolled within 10 days of positive SARS-CoV-2 test and symptom onset. Participants at higher risk of disease progression were eligible for IV T/C 300mg (150mg each component) or placebo;all were eligible for IM T/C 600mg (300mg each) administered to the lateral thigh or placebo. Co-primary outcomes were: time to symptom improvement through day 28;nasopharyngeal (NP) SARS-CoV-2 RNA below lower limit of quantification (LLoQ) on days 3, 7 or 14;and treatment emergent Grade >=3 adverse events. Result(s): Between February and May 2021, 223 participants (106 T/C, 117 placebo) initiated study intervention and were included in the IM analysis and 114 participants (58 T/C, 56 placebo) in the IV analysis;the IV study was stopped early for administrative reasons. Both studies enrolled 45% Latinx;the IM and IV populations included 12% and 19% Black participants, 49% and 59% female sex at birth, and median age was 39 and 44 years, respectively, all of which were balanced between active vs placebo for each. Median (IQR) days from symptom onset at enrollment was 6 (4, 7). There were no differences in time to symptom improvement comparing IM T/C to placebo (median 8 (IQR 7, 12) vs 10 (8, 13) days;p=0.35) or IV T/C to placebo (11 (9, 15) vs 10 (7, 15) days;p=0.71). A significantly greater proportion (80%) in the IM T/C arm had NP SARS-CoV-2 RNA below LLoQ at day 7 compared to placebo (65%), but not days 3 or 14, overall p=0.003 across visits. Secondary and post-hoc analyses revealed antiviral effects within the smaller IV study. There was no difference in Grade >=3 AEs with either administration route. Fewer participants were hospitalized who received T/C vs placebo (4 vs 7 in IM group;0 vs 4 in IV group), neither group reaching statistical significance. Conclusion(s): Tixagevimab/cilgavimab administered IM or IV was well-tolerated and demonstrated antiviral activity and a trend towards fewer hospitalizations, but did not change time to symptom improvement in mild-to-moderate COVID-19 compared to placebo. Monoclonal antibodies administered intramuscularly to the thigh may present a valuable alternative for early SARSCoV-2 infection. Virologic Outcomes of Tixagevimab/Cilgavimab treatment 600mg IM (panels A and B) or 300mg IV (panels C and D) versus placebo.
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The emergence and rapid spread of SARS-CoV-2 variants may affect vaccine efficacy substantially. The Omicron variant termed BA.2, which differs substantially from BA.1 based on genetic sequence, is currently replacing BA.1 in several countries, but its antigenic characteristics have not yet been assessed. Here, we used antigenic cartography to quantify and visualize antigenic differences between early SARS-CoV-2 variants (614G, Alpha, Beta, Gamma, Zeta, Delta, and Mu) using hamster antisera obtained after primary infection. We first verified that the choice of the cell line for the neutralization assay did not affect the topology of the map substantially. Antigenic maps generated using pseudo-typed SARS-CoV-2 on the widely used VeroE6 cell line and the human airway cell line Calu-3 generated similar maps. Maps made using authentic SARS-CoV-2 on Calu-3 cells also closely resembled those generated with pseudo-typed viruses. The antigenic maps revealed a central cluster of SARS-CoV-2 variants, which grouped on the basis of mutual spike mutations. Whereas these early variants are antigenically similar, clustering relatively close to each other in antigenic space, Omicron BA.1 and BA.2 have evolved as two distinct antigenic outliers. Our data show that BA.1 and BA.2 both escape vaccine-induced antibody responses as a result of different antigenic characteristics. Thus, antigenic cartography could be used to assess antigenic properties of future SARS-CoV-2 variants of concern that emerge and to decide on the composition of novel spike-based (booster) vaccines.
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Over fourteen million people suffer from neuromuscular diseases in the UK such as strokes, spinal cord injuries, and Parkinson's disease etc. That means at least one in six people in the UK are living with one or more neurological conditions. In order for patients to return to normal life sooner, a rigorous rehabilitation process is needed. In hospitals, physiotherapists and neurological experts prescribe specific neurorehabilitation exercises. In most cases, patients need to schedule an appointment to receive treatment in a hospital or to have physiotherapists visit them at home. The number of neuromuscular patients has increased, resulting in longer hospital waiting times. In particular, during COVID-19, patients were not allowed to visit hospitals or have physiotherapists visit them due to government restrictions. Online guides for personalised and custom rehabilitation therapy for joint spasticity and stiffness are also not available. This paper reports the development of an IoT-based prototype system that monitors and records joint movements using sensory footwear (consisting of FSR and IMU sensors) and Kinect sensors. In addition, a prototype web portal is also being developed to record performance data during exercises at home and interact with clinicians remotely. A pilot study has been conducted with six healthy individuals and test results show that there is a strong correlation between Kinect data and FSR data in terms of coordination between joint movements. © 2022 IEEE.
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The responses to COVID-19 have been different across the countries in the world, but nevertheless the pandemic has resulted in a state of emergency in all of them. It can be stated that COVID-19 has disrupted the "normal” routines of societies. In this chapter we present experiences of when we as academics tried to cultivate compassion amongst our students while teaching in higher education during a crisis. The textual and visual data of this study, our narratives, and images come from four different countries, from four different higher-educational contexts. These personal experiences and the differences in them are described and systematically analysed to understand them. According to our results, students were supported in multiple ways on three different levels in the academic context (administrational, operational, and individual). As a conclusion, we highlight four practical outcomes for future work with students during crisis. © 2023 selection and editorial matter, Narelle Lemon, Heidi Harju-Luukkainen, and Susanne Garvis;individual chapters, the contributors. All rights reserved.
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The Veterans Affairs (VA) Cooperative Studies Program (CSP) and Clinical Science Research and Development (CSRD) are both divisions of the VA Office of Research and Development (ORD) that is responsible for the planning and conduct of clinical trials and epidemiological studies within the VA's learning healthcare system. Since the outbreak of the COVID-19 pandemic in the United States, the VA has been facing some new and evolving challenges in clinical research, especially in planning, prioritizing, and conducting new clinical research projects aimed at preventing and/or treating SARS CoV-2 infection/ COVID-19 disease. In considering clinical research projects, different stakeholders of the VA research enterprise assess needs using numerous parameters: (1) CSP and CSRD leadership: VAMC network infrastructure, financial support, available funding, and enterprise-wide impact. (2) Clinical researchers: clinical perspectives and needs, as they relate to study design and operations, in the context of an ever-evolving epidemiological picture and disease knowledgebase. (3) VA research Coordinating Center(s): the challenges that reside in aspects of trial design and planning, in an effort to account for frequent changes in the COVID-19 epidemiology, and its impact on project feasibility/participant recruitment, choice of study endpoints, safety of healthcare providers, research personnel, and study participants. Notwithstanding these evolving challenges, the VA ORD stood up the VA CoronavirUs Research and Efficacy Studies (VA CURES) network in a coordinated effort to develop a master protocol framework that could efficiently utilize the VA's clinical research infrastructure to address the COVID-19 pandemic. The VA CURES framework has been serving as the umbrella structure encompassing numerous COVID-19 clinical research activities. Both CSP and CSRD have an established clinical research infrastructure, including Coordinating Centers, a Network Of Enrollment Dedicated Sites (NODES) and over 150 VA Medical Centers across the United States, with a clear and streamlined process of submission and review of research proposals (Letters of Intent;LOI), subsequent trial planning leading up to scientific review and, once approved, conduct of research projects. In this session, we will present the VA clinical research infrastructure and share its mobilization in this pandemic. Furthermore, we will share lessons learned in conducting research in emergency situations and how the research infrastructure pivoted and adapted to fulfill its mission of providing the best healthcare to Veterans. The following four areas will be the focus of this session: the VA ORD leadership perspective: Infrastructure/support/funding/priorities;clinical research perspectives: Study design in the face of evolving epidemiological picture;trial design and planning: Protocol drafting/timelines/shifting priorities/feasibility/ VAMC networks;organizing and operationalizing the VA CURES umbrella/platform: CURES-1, and CURES-2.
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Background Left Ventricular Non-Compaction Cardiomyopathy (LVNC) is a rare genetic, developmental disorder when the left apical chamber of the heart contains bundles or pieces of muscle that extend into the chamber called trabeculations. These trabeculations are a sponge-like network of muscle fibers that typically become compacted to transform heart muscle to become smooth and solid during a normal development process. Those who have LVNC most commonly are asymptomatic. Those who are symptomatic present with syncope, palpitations, dizziness, dyspnea, fatigue and/or unexplained weight gain or swelling. LVNC has also been suggested as a rare cause of embolic stroke, in our patient's case, "due to sluggish blood flow in deep intertrabecular recesses." Case We present a 29 year old African American female, G2P0011, with a history of cleft palate repair, and recent pregnancy complicated by COVID-19 who reported to ED after having a fall the day before, leg weakness and numbness, unable to walk, headache and a left facial droop on day of admission. No family history of SCD or other cardiac disease was noted. On assessment, was found to have NIHSS of 7 with rate lateral gaze palsy, left facial palsy, and decreased strength and sensation of LUE and LLE. TPA was not given due to being outside the therapeutic window. CT head and MRI brain were consistent with acute right MCA stroke. Secondary stroke workup with TTE revealed reduced LVEF 15-20%, loosely arranged myocardium with suspected LVNC and RV apical thrombus. Cardiac MRI showed increased trabeculations consistent with LVNC. Decision-making Currently, there are no ACC/AHA guidelines on anticoagulation in the setting of LVNC. Cardiology and Neurology had an extensive multidisciplinary discussion on the need for anticoagulation specifically with Warfarin. The patient was educated extensively on the need for medical adherence with anticoagulation and guideline directed medical therapy. Conclusion The patient was started on guideline directed medical therapy for cardiomyopathy and was started on Warfarin after bridging from Lovenox. She continued with physical therapy and was noted to have improvement in residual deficits at her outpatient follow up.Copyright © 2023 American College of Cardiology Foundation
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BACKGROUND: Barriers to rapid return of sequencing results can affect the utility of sequence data for infection prevention and control decisions. AIM: To undertake a mixed-methods analysis to identify challenges that sites faced in achieving a rapid turnaround time (TAT) in the COVID-19 Genomics UK Hospital-Onset COVID-19 Infection (COG-UK HOCI) study. METHODS: For the quantitative analysis, timepoints relating to different stages of the sequencing process were extracted from both the COG-UK HOCI study dataset and surveys of study sites. Qualitative data relating to the barriers and facilitators to achieving rapid TATs were included from thematic analysis. FINDINGS: The overall TAT, from sample collection to receipt of sequence report by infection control teams, varied between sites (median 5.1 days, range 3.0-29.0 days). Most variation was seen between reporting of a positive COVID-19 polymerase chain reaction (PCR) result to sequence report generation (median 4.0 days, range 2.3-27.0 days). On deeper analysis, most of this variability was accounted for by differences in the delay between the COVID-19 PCR result and arrival of the sample at the sequencing laboratory (median 20.8 h, range 16.0-88.7 h). Qualitative analyses suggest that closer proximity of sequencing laboratories to diagnostic laboratories, increased staff flexibility and regular transport times facilitated a shorter TAT. CONCLUSION: Integration of pathogen sequencing into diagnostic laboratories may help to improve sequencing TAT to allow sequence data to be of tangible value to infection control practice. Adding a quality control step upstream to increase capacity further down the workflow may also optimize TAT if lower quality samples are removed at an earlier stage.
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BACKGROUND AND AIMS: - Healthcare workers (HCW) throughout the world have been exposed to economic and existential stress during the Covid-19 pandemic. The American Medical Association (AMA) has documented that increased healthcare burden correlates with increased HCW stress, burnout, and psychological burden. However, limits on personnel, time, and in person interactions make it challenging to assess mental health outcomes during a pandemic. This pilot test case study used virtual technology to efficiently assess these outcomes. SETTING: - Data were collected based on voluntary participation in the Coping with Covid-19 for Caregiver's survey created by AMA. The survey was sent out to approximately 300 participants who included local physicians, medical residents, medical students, and allied health professionals and students who attended a virtual Mental Health Summit. METHODS: - The survey was developed by the AMA, and it included questions about demographics, overall stress, fear of infection and transmission of the virus, perceived anxiety or depression due to Covid, work overload, childcare issues, and sense of meaning and purpose. The AMA allows for up to five additional questions to be added to their survey, therefore five questions regarding support service utilization, perseverance, and resilience during Covid-19, and two items to further understand students' areas of medical interest. The survey was administered using an online platform through the AMA. The data were analyzed using descriptive statistics. RESULTS: - There were 81 survey respondents. Based on the results of the survey, "high stress" was found in 52 (64%) participants. 66 (81%) were afraid (moderately or to a great extent) of exposure or transmission, 61 (75%) described high levels of anxiety or depression, and 67 (84%) noted work overload. Despite this increase in stress, most respondents (77%) said they were not likely to reduce their devoted hours in clinical care or research in the next 12 months, and 81% answered that they would not leave their practice or research within two years. CONCLUSION: - Covid-19 has negatively affected the wellbeing of HCW. This is a similar trend seen during other times of healthcare strain. Mental health support, work modulation, and various provisions should be explored as means to reduce Covid-related negative impacts. The use of online an online summit and online data collection methods were appropriate for collecting data on the impact of Covid on mental health. This pilot study supports the larger scale implementation of this technology for health informatics research.
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Australia avoided the worst effects of the COVID-19 pandemic, but still experienced many negative impacts. Reflecting on lessons from Australia's public health response, an Australian expert panel composed of relevant discipline experts identified the following key lessons: 1) movement restrictions were effective, but their implementation requires careful consideration of adverse impacts, 2) disease modelling was valuable, but its limitations should be acknowledged, 3) the absence of timely national data requires re-assessment of national surveillance structures, 4) the utility of advanced pathogen genomics and novel vaccine technology was clearly demonstrated, 5) decision-making that is evidence informed and consultative is essential to maintain trust, 6) major system weaknesses in the residential aged-care sector require fixing, 7) adequate infection prevention and control frameworks are critically important, 8) the interests and needs of young people should not be compromised, 9) epidemics should be recognised as a 'standing threat', 10) regional and global solidarity is important. It should be acknowledged that we were unable to capture all relevant nuances and context specific differences. However, the intent of this review of Australia's public health response is to critically reflect on key lessons learnt and to encourage constructive national discussion in countries across the Western Pacific Region.
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Background. Predictors of SARS-CoV-2 RNA levels and changes over time during early COVID-19 are not well characterized. Methods. ACTIV-2 is a phase II/III randomized, placebo-controlled, platform trial to evaluate investigational agents for treatment of COVID-19 in non-hospitalized adults. Participants enrolled within 10 days of symptom onset. Nasopharyngeal samples were collected for SARS-CoV-2 RNA testing on Days 0, 3, 7, 14 and 28;RNA was quantified with qPCR assay. SARS-CoV-2 seropositivity was defined as detectable IgG to any of nucleocapsid, receptor binding domain, S1 and S2 antigens by Bio-Plex multiplex assay. Censored linear regression and repeated measures Poisson models evaluated predictors of RNA including age, sex, race, ethnicity, risk of severe COVID-19, diabetes, BMI, obesity (BMI > 35 kg/m2) and serostatus. Results. The study enrolled 537 participants from Aug 2020 to July 2021 at US sites. Median age was 48 years;49% were female sex, >99% cis-gender, 83% white, 29% Hispanic/Latino, and 21% had BMI > 35 kg/m2. At Day 0, median symptom duration was 6 days, 50% were seropositive (2 were vaccinated) and 17% had RNA below the lower limit of quantification (LLoQ). Higher Day 0 RNA was associated with shorter symptom duration (Spearman correlation = -0.40, p< 0.001), as well as older age, white race, lower BMI and seronegativity, even when adjusting for symptom duration (all p< 0.03). Among the 203 on placebo with Day 0 RNA >= LLoQ, female sex had larger decreases in RNA at Day 3 vs male sex (difference in mean change: -0.8 log10 copies/mL (95% CI: -1.2, -0.4), p< 0.001) when adjusted for symptom duration and Day 0 RNA;this difference was also observed when evaluating the proportion with RNA < LLoQ at Day 3 (Risk Ratio (95% CI): 2.38 (1.11, 5.09)). Seropositivity at Day 0 was associated with higher probability of RNA < LLoQ at Days 3 and 7 (p< 0.001) in adjusted models. Seropositivity at Day 0 did not differ by sex. Conclusion. In this well characterized clinical trial cohort, shorter symptom duration, older age, white race, lower BMI and seronegativity were associated with higher RNA in early infection. Female sex and seropositivity were associated with earlier viral clearance. Further research is needed to determine if viral decay differences mediated by these host factors influence clinical outcomes.
ABSTRACT
Background. Symptoms during acute COVID-19 can limit daily activities and delay return to work and school. Little is known about the association between SARS-CoV-2 burden in either the upper airway or plasma and the duration of COVID-19 symptoms. Methods. ACTIV-2/A5401 is a platform trial for COVID-19 treatments in nonhospitalized symptomatic adults enrolled within 10 days of symptom onset. We included participants randomized to placebo from August 2020 to July 2021. Participants self-reported severity of 13 symptoms daily from day 0 (baseline) to 28 as Absent 0, Mild 1, Moderate 2, Severe 3;total symptom score was calculated as the sum of all scores. Anterior nasal (AN) and plasma SARS-CoV-2 RNA levels at day 0 were measured with a quantitative qPCR assay. The relationship between day 0 RNA and time to symptom improvement or resolution (first of 2 consecutive days of all symptoms improved or resolved from day 0, respectively) was evaluated using proportional hazards regression adjusted for time from symptom onset. Time to resolution of distinct symptoms was also assessed. Results. Among 570 participants randomized to placebo, median age was 48 years, 51% were female, and median time since symptom onset at baseline was 6 days;7% had prior COVID-19 vaccination. At day 0, AN RNA was detectable in 80% with a median of 4.1 log10 copies/ml (n=533, quartiles: 1.7, 6.0) and plasma RNA was detectable in 19% (91/476). Detectable plasma RNA at day 0, but not AN RNA, was associated with more severe symptoms at day 0 (2.4-point higher mean total symptom score, P=0.001). Both high AN (>=6 vs < 2 log10 copies/ml, adjusted hazard ratio [aHR] 0.63, P=0.001) and detectable plasma RNA (aHR 0.74, P=0.03) at day 0 predicted delayed symptom improvement. High AN RNA at day 0 also predicted a delay in symptom resolution (aHR 0.59, P=0.001). Both high AN RNA and detectable plasma RNA levels predicted delays in the resolution of cough and shortness of breath. Detectable plasma RNA also predicted delayed body pain resolution.
ABSTRACT
Background. Data are currently limited on the performance of SARS-CoV-2 RNA levels as predictors or surrogate markers for clinical outcomes in outpatients with mild-to-moderate COVID-19. Methods. This exploratory analysis used data from 2205 non-hospitalized adults who enrolled between August 2020 and July 2021 and participated in placebocontrolled evaluations of two monoclonal antibody (mAb) agents (bamlanivimab [n=317] or amubarvimab/romlusevimab [n=837]), and an open-label cohort of bamlanivimab recipients [n=1051] as part of the ACTIV-2/A5401 platform trial. SARS-CoV-2 RNA levels were measured in anterior nasal (AN) swabs and plasma at day 0 (pre-treatment) and AN at day 3. We fit regression models to estimate the association between RNA level or detection and subsequent hospitalization/death within 28 days of enrollment. Results. One-hundred four participants (53/571 [9%] on placebo and 51/ 1634 [3%] on mAb) died or were hospitalized through day 28. Median AN RNA levels were lower at day 3 compared to day 0 in both placebo (2.5 vs 4.0 log10 copies/mL [cp/mL]) and mAb (2.3 vs 4.9) groups. For placebo recipients, higher Day 0 AN RNA was associated with an increasing risk of hospitalization/ death, ranging from 3% to 16% for < 2 and >= 6 log10 cp/mL, respectively. Although only 1% had quantifiable plasma SARS-CoV-2 RNA, there was a similar trend for day 0 plasma RNA: 5% hospitalizations/death for undetectable RNA, 16% for detectable but not quantifiable RNA, and 80% for >= 2 log10 cp/mL. Among 485 placebo recipients with days 0 and 3 ANRNA results, the risk of subsequent hospitalization/death was highest among those with >= 5.0 log10 cp/mL at both days [8/78;10%] and lowest for those with unquantifiable levels at both days [0/124;0%]. Higher AN RNA at day 3 (adjusted for day 0 RNA) was associated with subsequent hospitalization/death among placebo recipients (relative risk (RR): 1.4 per log10 cp/mL;95%CI: 1.0, 2.1), but not mAb recipients (RR: 1.0;95%CI: 0.7, 1.6). Conclusion. These findings suggest that AN and plasma SARS-CoV-2 RNA levels are predictive of hospitalization/death in the natural history setting. However, different associations for mAb and placebo recipients raises concerns for using AN RNA as a surrogate for clinical outcomes in mAb trials. (Table Presented).
ABSTRACT
Methods: Here, we sought to investigate the effects of TLR7 pathway activation on mouse behaviour 24 hours post-activation. Female CD1 mice received an intraperitoneal injection of the synthetic TLR7 agonist, R848, or an equivalent volume of saline and were subjected to the Open Field and Forced Swim Test 24 hours later (n=10/group). Brain and liver tissues were then collected for downstream gene expression analysis. Result(s): Independent T-tests confirmed that systemic R848 challenge induced a strong peripheral and central inflammatory response, as indicated by a 250-fold increase in hepatic SAA-2 mRNA expression (p<0.0001) and a 75-fold increase in CXCL10 mRNA expression in the prefrontal cortex (p<0.01), relative to controls. These changes in inflammatory markers were accompanied by evidence of sickness behaviour - in particular, a decrease in exploratory rearing (p<0.01). Conclusion(s): This demonstrates that R848 can be used to create a model reflective of viral-like illness and provides a useful tool for investigating the behavioural effects of TLR7-mediated inflammation. To further these results, we aim to explore the metabolic consequences of LPS and R848 challenge and relate these to inflammatory and behavioural changes. This will accompany our data on the metabolic signatures of SARS-CoV-2-infected cells and animals, and of long-COVID patients. Copyright © 2022