Evaluation of the neutralising antibody response in human and hamster sera against SARS-CoV-2 variants up to and including BA.2.86 using an authentic virus neutralisation assay (preprint)

New vaccines, therapeutics and immunity elicited by natural infection create evolutionary pressure on SARS-CoV-2 to evolve and adapt to evade vaccine-induced and infection-elicited immunity. Vaccine and therapeutics developers thus find themselves in an "arms race" with the virus. The ongoing assessment of emerging SARS-CoV-2 variants remains essential as the global community transitions from an emergency response to a long-term management plan. Here, we describe how an authentic virus neutralisation assay using low passage clinical virus isolates has been employed to monitor resistance of emerging virus variants to neutralising antibodies from humans and experimentally infected hamsters. Sera and plasma from people who received three doses of a vaccine as well as those who received a bivalent booster were assessed against SARS-CoV-2 variants, up to and including BA.2.86. Contemporary or recent virus variants showed substantial resistance to neutralisation by antibodies from those who had received three vaccines but were still effectively neutralised by antibodies from individuals who had received a bivalent booster (ancestral/BA.1). Convalescent sera from hamsters that had been experimentally infected with one of seven virus variants (ancestral, BA.1, BA.4, BA.5.2.1, XBB.1.5, XBB.1.16, XBB.2.3) were also tested here. The most contemporary variant, BA.2.86, was effectively neutralised by sera from hamsters infected with XBB.1.5 and XBB.1.16 but it was not neutralised by sera from those infected with BA.5.2.1. These data support the recommendations given by the WHO that a new vaccine was required and should consist of an XBB sub-lineage antigen.

Postacute Sequelae SARS-CoV-2 Infection by Vaccination Status: A Six-Month Latent Class Analysis (preprint)

Symptoms post- SARS-CoV-2 infection may persist for months and cause significant impairment and impact to quality of life. Acute symptoms of SARS-CoV-2 infection are well studied, yet data on clusters of symptoms over time, or postacute sequelae of SARS-CoV-2 infection (PASC), are limited. We aim to characterize PASC phenotypes by identifying symptom clusters over a six-month period following infection in individuals vaccinated (boosted and not) and those unvaccinated. Subjects with [≥]1 self-reported symptom and positive RT-PCR for SARS-CoV-2 at CVS Health US test sites were recruited between January and April 2022. Patient-reported outcomes symptoms, heath-related quality of life (QoL), work productivity and activity impairment (WPAI) were captured at 1 month, 3 months, and 6 months post-acute infection. Logistic regression and latent class analysis (LCA) were performed on 20 symptoms using baseline socio-demographic, clinical characteristics, and vaccination status as well as EQ-5and WPAI results as covariables. Subjects with more symptoms were associated with lower health-related quality of life, and worse WPAI scores. LCA identified three phenotypes that are primarily differentiated by number of symptoms. These three phenotypes remained consistent across time periods. Vaccinated individuals were more likely to be in the low symptom burden latent classes at all time points compared to unvaccinated individuals.

Impact of bivalent BA.4/5 BNT162b2 COVID-19 vaccine on acute symptoms, quality of life, work productivity and activity levels among symptomatic US adults testing positive for SARS-CoV-2 at a national retail pharmacy (preprint)

BackgroundEvidence on the impact of COVID-19 vaccination on symptoms, Health-Related Quality of Life (HRQoL), Work Productivity and Activity Impairment (WPAI) is scarce. We analyzed associations between bivalent BA.4/5 BNT162b2 and these patient-reported outcomes (PROs). MethodsSymptomatic US adults who tested positive for SARS-CoV-2 were recruited between 03/02-05/18/2023. PROs were assessed using a CDC-based symptom questionnaire, EQ-5D-5L, WPAI-GH, and PROMIS Fatigue, from pre-COVID to Week 4 following infection. Multivariable analysis using mixed models for repeated measures was conducted, adjusting for several covariates. ResultsThe study included 641 participants: 314 vaccinated with bivalent BA.4/5 BNT162b2 and 327 unvaccinated/not up-to-date. Mean (SD) age was 46.5 years (15.9), 71.2% were female, 44.2% reported prior infection, 25.7% had [≥]1 comorbidity. The BA.4/5 BNT162b2 cohort reported fewer acute symptoms through Week 4, especially systemic and respiratory symptoms. All PROs were adversely affected, especially at Week 1; however, at that time point, the bivalent BA.4/5 BNT162b2 cohort reported better work performance, driven by less absenteeism, and fewer work hours lost. No significant differences were observed for HRQoL. ConclusionsCOVID-19 negatively impacted patient outcomes. Compared with unvaccinated/not up-to-date participants, those vaccinated with bivalent BA.4/5 BNT162b2 reported fewer and less persistent symptoms and improved work performance. Clinicaltrials.gov NCT05160636

Gender disparity in the effects of COVID‐19 on academic productivity and career satisfaction in anesthesiology in the US: Results of a national survey of anesthesiologists

The coronavirus disease 2019 (COVID‐19) pandemic created unprecedented challenges for anesthesiologists both at work and home. This study examined whether the pandemic affected academic productivity and career satisfaction among anesthesiologists practicing in the United States during the early stages of the pandemic and whether these effects differed by gender. A survey was emailed to 25,473 members of the American Society of Anesthesiologists to learn about their experiences during the beginning of the pandemic. The survey directed respondents to rate their change in academic productivity, clinical care hours, scholarly and leadership opportunities, income, childcare duties, and household responsibilities during the first 5 months of the pandemic (March 1–July 31, 2020). The primary variable was gender, academic productivity was the primary outcome, and data were analyzed by multivariable proportional odds logistic regression models and correlations. Female anesthesiologists reported lower academic productivity and career satisfaction relative to male anesthesiologists during the study period. Career satisfaction positively correlated with academic productivity. Compared to male anesthesiologists, female anesthesiologists also had more household responsibilities before and during the pandemic. Being a female parent reduced academic productivity relative to that reported by nonparents of either gender. In conclusion, the early months of the COVID‐19 pandemic had a greater adverse professional impact on female anesthesiologists than on their male counterparts. Efforts to support and retain female anesthesiologists, particularly those early in their careers and those with children, are essential for the specialty to maintain its workforce and promote gender equity in promotion and leadership. [ FROM AUTHOR] Copyright of Gender, Work & Organization is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Clinical characteristics, complications, and outcomes of severe COVID-19 ARDS patients supported by ECMO and triaged for lung transplantations

Objectives: More than 200 patients have benefited from lung transplantation who failed to recover from COVID-19-induced acute respiratory distress (ARDS) with conventional ventilatory support and/ or extracorporeal membrane oxygenation support (ECMO) in USA. We aim to share our experience and lessons learned at our institute through this case series. Method(s): After IRB approval, we performed a retrospective chart review and identified 37 patients who received ECMO for COVID-19 induced ARDS between May 2020 through January 2022. Out of these, 12 received a formal consultation from the transplant team. We studied patient characteristics, interventions during ECMO support, and evaluation outcomes. Result(s): Most of our patients had single organ failure i.e., lung, except for two who required dialysis after ECMO initiation. Six out of the 12 patients received bilateral lung transplant. One patient received the transplant before ECMO initiation. However, the patient required two runs of ECMO after the transplant due to postop complications from suspected COVID19 reinfection and deceased on postoperative day 101. All the patients after transplant had an expedited recovery except one who required prolonged hospitalization before starting physical therapy. The median length of hospital stay for the transplant group was 148 (89- 194) days and for the non-transplant group was 114 (58-178) days. The 30-day survival rate was 100% for the transplant group. At a median follow-up of 207 (0- 456) days after discharge, 5(83.3%) patients in the transplant group and 3(50%) patients in the nontransplant group were alive. In the non-transplant group, 4 patients received ECMO support for more than 75 days and at last follow-up 2 were alive and functioning well without needing new lungs. This asks for an objective prospective study to define the timeline of irreversibility of the lung injury. Conclusion(s): Lung transplantation is a viable salvage option in patients with COVI-19 induced irreversible lung injury. However, the irreversibility of the lung injury and the timing of lung transplant remains to be determined case-by-case. (Figure Presented).

SHOULD COMPLETE B-CELL DEPLETION BE SUSTAINED IN RITUXIMAB LONG-TERM TREATED PATIENTS FOR RHEUMATOID ARTHRITIS?

BackgroundComplete peripheral B cell depletion has been considered as a relevant indicator of short-term response to rituximab (RTX) in rheumatoid arthritis (RA) [1,2]. However, no information is available to validate this observation in RA patients long-term treated with RTX.ObjectivesTo determine whether sustained complete B cell (BC) depletion is associated with a better clinical response in RA patients long-term treated with RTX.MethodsRetrospective routine care study conducted in the Rheumatology department of Cochin hospital. We included consecutive patients fulfilling the ACR/EULAR 2010 classification criteria for RA hospitalized in 2021 for a new RTX infusion. All recruited patients had received at least 3 prior RTX infusions and had disease activity assessment (DAS28 and DAS28-CRP) and CD19 counts (Aquios, Beckman Coulter) available during each of the 4 last infusion visits. The primary endpoint was the course of DAS28 and DAS28-CRP, calculated the day of the last 4 infusion visits according to sustained complete (mean CD19 counts <18/µL) or incomplete (mean CD19 counts ≥18/µL) BC depletion. Secondary endpoints were the frequency of end-of-dose effect and patient self-reported RA flares at each infusion visit, as well as the course of pain/fatigue VAS, CRP and gammaglobulin levels according to complete or incomplete B cell depletion.ResultsWe included 126 patients (105 women, 83%) with a mean age of 64±12 years and a mean disease duration of 22± 5 years. Only 43 patients (34%) had maintained complete BC depletion during the last 4 infusions (mean CD19 counts 13±4/µL) (Figure 1A-B). Patients with incomplete BC depletion (n=83, mean CD19 counts: 77±73/µL, p<0.001) did not differ from those who maintained complete BC depletion in terms of age, gender, disease duration, structural damages and concomitant treatment.Patients with incomplete BC depletion had a higher frequency of rheumatoid factor (92% vs. 77%, p=0.018) and ACPA (84% vs. 72%, p=0.11);these patients had received RTX for a longer period (99±57 months vs. 69±47 months, p=0.003), with significantly higher number of infusions (14±7 vs. 12±6 infusions, p=0.037) and increased cumulative dose (10±6 g vs. 8±5 g, p=0.10) compared to patients with sustained complete BC depletion. On the other hand, their interval between 2 infusions was significantly longer (8±3 months vs. 6±1 months, p<0.001).The course of DAS28 and DAS28-CRP during the last 4 infusions was not different between the 2 groups (Figures 1C-D). The mean DAS28 and DAS28-CRP calculated at the time of last 4 infusion visits did not differ between patients with incomplete or sustained complete BC depletion (DAS28: 2.71±1.06 vs. 3.01±1.10, p=0.33 and DAS28-CRP: 2.53±0.88 vs. 2.88±0.84, p=0.095). The frequency of an end-of-dose effect and self-reported flares was similar between the 2 groups, as well as the evaluation of pain VAS, asthenia VAS, CRP and gammaglobulin levels (Figures 1E-H).ConclusionMaintaining complete BC depletion is not a therapeutic target to achieve in RA patients in long-term maintenance therapy with RTX. These results show that it is possible to space out RTX infusions to 8 months without loss of clinical benefit, which remains identical to that of patients treated every 6 months with sustained BC depletion. This result may have clinical implications during the COVID-19 pandemic since the antibody response to SARS-CoV-2 vaccination is preferentially obtained in patients with detectable B cells [3].References[1]Vital EM et al. Arthritis Rheum 2011;63:603–8.[2]Dass S et al. Arthritis Rheum 2008;58(10):2993–2999.[3]Avouac et al, Rheumatology 2022Figure 1.Course of mean (±SD) CD19, DAS28, DAS28-CRP, pain and fatigue VAS, CRP and gammaglobulins at the last 4 RTX infusion visits according to sustained complete or incomplete B cell depletion (CBCD and IBCD respectively).[Figure omitted. See PDF]Acknowledgements:NIL.Disclosure of InterestsNone Declared.

Extracorporeal membrane oxygenation for airway emergencies

Objectives: Extracorporeal membrane oxygenation (ECMO) is well established in cardiorespiratory failure. Here we report the use of ECMO in an airway emergency to provide respiratory support. Method(s): Informed consent was obtained from patient at the time of admission. Result(s): A 48-year-old with COVID-19 requiring venovenous ECMO (VVECMO) for 32 days and tracheostomy for 47 days had developed tracheal stenosis three months after tracheostomy removal, and undergone tracheal resection and reconstruction. He presented two weeks later with acute dyspnea, bloody drainage and a bulge in his neck with coughing. A computerized tomography (CT) of the cervical spine and chest showed dehiscence of the tracheal wound and a gap in the trachea. He was managed with High Flow Nasal Canula and supported on VVECMO support using 25 Fr. right femoral drainage cannula and 23 Fr. left IJ return cannula. A covered stent was placed, neck wound was irrigated and debrided. Patient was decannulated after 10 days on ECMO. Future therapeutic considerations include mediastinal tracheostomy, aortic homograft interposition of the disrupted segment of trachea with stent placement and permanent self-expandable stent with internal silicone stent. Conclusion(s): ECMO is increasingly used in complex thoracic surgery as well as in the perioperative period as salvage support. One of the areas where it has shown promising results is traumatic main bronchial rupture, airway tumor leading to severe airway stenosis, and other complex airway problems. The ease of cannulation, the technological advances and growing confidence in the management of ECMO patients are the main reasons for the expansion of ECMO use beyond conventional indications. The case described above is an example of the use of ECMO in the perioperative management of impending respiratory failure due to airway obstruction or disconnection. (Figure Presented).

Recovery from Covid-19 critical illness: A secondary analysis of the ISARIC4C CCP-UK cohort study and the RECOVER trial.

Background: We aimed to compare the prevalence and severity of fatigue in survivors of Covid-19 versus non-Covid-19 critical illness, and to explore potential associations between baseline characteristics and worse recovery. Methods: We conducted a secondary analysis of two prospectively collected datasets. The population included was 92 patients who received invasive mechanical ventilation (IMV) with Covid-19, and 240 patients who received IMV with non-Covid-19 illness before the pandemic. Follow-up data were collected post-hospital discharge using self-reported questionnaires. The main outcome measures were self-reported fatigue severity and the prevalence of severe fatigue (severity >7/10) 3 and 12-months post-hospital discharge. Results: Covid-19 IMV-patients were significantly younger with less prior comorbidity, and more males, than pre-pandemic IMV-patients. At 3-months, the prevalence (38.9% [7/18] vs. 27.1% [51/188]) and severity (median 5.5/10 vs 5.0/10) of fatigue were similar between the Covid-19 and pre-pandemic populations, respectively. At 6-months, the prevalence (10.3% [3/29] vs. 32.5% [54/166]) and severity (median 2.0/10 vs. 5.7/10) of fatigue were less in the Covid-19 cohort. In the total sample of IMV-patients included (i.e. all Covid-19 and pre-pandemic patients), having Covid-19 was significantly associated with less severe fatigue (severity <7/10) after adjusting for age, sex and prior comorbidity (adjusted OR 0.35 (95%CI 0.15-0.76, p=0.01). Conclusion: Fatigue may be less severe after Covid-19 than after other critical illness.

The Maryland (USA) Critical Care Coordination Center (C4): From Pandemic to Permanence.

INTRODUCTION: The 2019 coronavirus disease (COVID-19) pandemic created overwhelming demand for critical care services within Maryland's (USA) hospital systems. As intensive care units (ICUs) became full, critically ill patients were boarded in hospital emergency departments (EDs), a practice associated with increased mortality and costs. Allocation of critical care resources during the pandemic requires thoughtful and proactive management strategies. While various methodologies exist for addressing the issue of ED overcrowding, few systems have implemented a state-wide response using a public safety-based platform. The objective of this report is to describe the implementation of a state-wide Emergency Medical Services (EMS)-based coordination center designed to ensure timely and equitable access to critical care. METHODS: The state of Maryland designed and implemented a novel, state-wide Critical Care Coordination Center (C4) staffed with intensivist physicians and paramedics purposed to ensure appropriate critical care resource management and patient transfer assistance. A narrative description of the C4 is provided. A retrospective cohort study design was used to present requests to the C4 as a case series report to describe the results of implementation. RESULTS: Providing a centralized asset with regional situational awareness of hospital capability and bed status played an integral role for directing the triage process of critically ill patients to appropriate facilities during and after the COVID-19 pandemic. A total of 2,790 requests were received by the C4. The pairing of a paramedic with an intensivist physician resulted in the successful transfer of 67.4% of requests, while 27.8% were managed in place with medical direction. Overall, COVID-19 patients comprised 29.5% of the cohort. Data suggested increased C4 usage was predictive of state-wide ICU surges. The C4 usage volume resulted in the expansion to pediatric services to serve a broader age range. The C4 concept, which leverages the complimentary skills of EMS clinicians and intensivist physicians, is presented as a proposed public safety-based model for other regions to consider world-wide. CONCLUSION: The C4 has played an integral role in the State of Maryland's pledge to its citizens to deliver the right care to the right patient at the right time and can be considered as a model for adoption by other regions world-wide.

The Omicron Sub-Variant BA.4 Displays a Remarkable Lack of Clinical Signs in a Golden Syrian Hamster Model of SARS-CoV-2 Infection.

The ongoing emergence of SARS-CoV-2 virus variants remains a source of concern because it is accompanied by the potential for increased virulence as well as evasion of immunity. Here we show that, although having an almost identical spike gene sequence as another Omicron variant (BA.5.2.1), a BA.4 isolate lacked all the typical disease characteristics of other isolates seen in the Golden Syrian hamster model despite replicating almost as effectively. Animals infected with BA.4 had similar viral shedding profiles to those seen with BA.5.2.1 (up to day 6 post-infection), but they all failed to lose weight or present with any other significant clinical signs. We hypothesize that this lack of detectable signs of disease during infection with BA.4 was due to a small (nine nucleotide) deletion (∆686-694) in the viral genome (ORF1ab) responsible for the production of non-structural protein 1, which resulted in the loss of three amino acids (aa 141-143).

Dysregulated Platelet Function and Thrombosis in Patients with Post-Acute Sequelae of COVID-19 (preprint)

Objective: Post-acute sequelae of COVID-19 (PASC, also referred as Long-COVID) sometimes follows COVID-19, a disease caused by SARS-CoV-2. While SARS-CoV-2 is well-known to promote a prothrombotic state, and especially to activate platelets acutely, less is known about the thrombosis risk in PASC. Approach and Results: PASC patients and age-matched healthy controls were enrolled in the study on average 15 months after documented SARS-CoV-2 infection. Platelet activation was evaluated by Light Transmission Aggregometry (LTA) and flow cytometry in response to platelet surface receptor agonists. Thrombosis in platelet-deplete plasma was evaluated by Factor Xa activity. A microfluidics system assessed thrombosis in whole blood under venous shear stress conditions. While only a mild increase in platelet aggregation in PASC patients through the thromboxane receptor was observed platelet activation through the glycoprotein VI (GPVI) receptor was markedly decreased in PASC patients compared to age- and sex-matched healthy controls. Thrombosis under venous shear conditions as well as Factor Xa activity were reduced in PASC patients. Plasma from PASC patients was an extremely potent activator of washed, healthy platelets - a phenomenon not observed using age- and sex-matched platelets from healthy individuals. Conclusions: PASC patients demonstrate dysregulated responses in platelets and coagulation in plasma, likely caused by a circulating plasma-derived molecule that promotes thrombosis. A hitherto undescribed protective response appears to exists in PASC patients to counterbalance ongoing thrombosis that is common to SARS-CoV-2 infection.

Associations between mother's depressive symptoms during pregnancy and newborn's brain functional connectivity.

Depression during pregnancy is common and the prevalence further increased during the COVID pandemic. Recent findings have shown potential impact of antenatal depression on children's neurodevelopment and behavior, but the underlying mechanisms are unclear. Nor is it clear whether mild depressive symptoms among pregnant women would impact the developing brain. In this study, 40 healthy pregnant women had their depressive symptoms evaluated by the Beck Depression Inventory-II at ~12, ~24, and ~36 weeks of pregnancy, and their healthy full-term newborns underwent a brain MRI without sedation including resting-state fMRI for evaluation of functional connectivity development. The relationships between functional connectivities and maternal Beck Depression Inventory-II scores were evaluated by Spearman's rank partial correlation tests using appropriate multiple comparison correction with newborn's gender and gestational age at birth controlled. Significant negative correlations were identified between neonatal brain functional connectivity and mother's Beck Depression Inventory-II scores in the third trimester, but not in the first or second trimester. Higher depressive symptoms during the third trimester of pregnancy were associated with lower neonatal brain functional connectivity in the frontal lobe and between frontal/temporal lobe and occipital lobe, indicating a potential impact of maternal depressive symptoms on offspring brain development, even in the absence of clinical depression.

Large libraries of single-chain trimer peptide-MHCs enable antigen-specific CD8+ T cell discovery and analysis.

The discovery and characterization of antigen-specific CD8+ T cell clonotypes typically involves the labor-intensive synthesis and construction of peptide-MHC tetramers. We adapt single-chain trimer (SCT) technologies into a high throughput platform for pMHC library generation, showing that hundreds can be rapidly prepared across multiple Class I HLA alleles. We use this platform to explore the impact of peptide and SCT template mutations on protein expression yield, thermal stability, and functionality. SCT libraries were an efficient tool for identifying T cells recognizing commonly reported viral epitopes. We then construct SCT libraries to capture SARS-CoV-2 specific CD8+ T cells from COVID-19 participants and healthy donors. The immunogenicity of these epitopes is validated by functional assays of T cells with cloned TCRs captured using SCT libraries. These technologies should enable the rapid analyses of peptide-based T cell responses across several contexts, including autoimmunity, cancer, or infectious disease.

Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study.

INTRODUCTION: Available evidence is mixed concerning associations between smoking status and COVID-19 clinical outcomes. Effects of nicotine replacement therapy (NRT) and vaccination status on COVID-19 outcomes in smokers are unknown. METHODS: Electronic health record data from 104 590 COVID-19 patients hospitalized February 1, 2020 to September 30, 2021 in 21 U.S. health systems were analyzed to assess associations of smoking status, in-hospital NRT prescription, and vaccination status with in-hospital death and ICU admission. RESULTS: Current (n = 7764) and never smokers (n = 57 454) did not differ on outcomes after adjustment for age, sex, race, ethnicity, insurance, body mass index, and comorbidities. Former (vs never) smokers (n = 33 101) had higher adjusted odds of death (aOR, 1.11; 95% CI, 1.06-1.17) and ICU admission (aOR, 1.07; 95% CI, 1.04-1.11). Among current smokers, NRT prescription was associated with reduced mortality (aOR, 0.64; 95% CI, 0.50-0.82). Vaccination effects were significantly moderated by smoking status; vaccination was more strongly associated with reduced mortality among current (aOR, 0.29; 95% CI, 0.16-0.66) and former smokers (aOR, 0.47; 95% CI, 0.39-0.57) than for never smokers (aOR, 0.67; 95% CI, 0.57, 0.79). Vaccination was associated with reduced ICU admission more strongly among former (aOR, 0.74; 95% CI, 0.66-0.83) than never smokers (aOR, 0.87; 95% CI, 0.79-0.97). CONCLUSIONS: Former but not current smokers hospitalized with COVID-19 are at higher risk for severe outcomes. SARS-CoV-2 vaccination is associated with better hospital outcomes in COVID-19 patients, especially current and former smokers. NRT during COVID-19 hospitalization may reduce mortality for current smokers. IMPLICATIONS: Prior findings regarding associations between smoking and severe COVID-19 disease outcomes have been inconsistent. This large cohort study suggests potential beneficial effects of nicotine replacement therapy on COVID-19 outcomes in current smokers and outsized benefits of SARS-CoV-2 vaccination in current and former smokers. Such findings may influence clinical practice and prevention efforts and motivate additional research that explores mechanisms for these effects.

Changes in Brain Activation Patterns During Working Memory Tasks in People With Post-COVID Condition and Persistent Neuropsychiatric Symptoms.

BACKGROUND AND OBJECTIVES: Post-COVID condition (PCC) is common and often involves neuropsychiatric symptoms. This study aimed to use blood oxygenation level-dependent fMRI (BOLD-fMRI) to assess whether participants with PCC had abnormal brain activation during working memory (WM) and whether the abnormal brain activation could predict cognitive performance, motor function, or psychiatric symptoms. METHODS: The participants with PCC had documented coronavirus disease 2019 (COVID-19) at least 6 weeks before enrollment. Healthy control participants had no prior history of COVID-19 and negative tests for severe acute respiratory syndrome coronavirus 2. Participants were assessed using 3 NIH Toolbox (NIHTB) batteries for Cognition (NIHTB-CB), Emotion (NIHTB-EB), and Motor function (NIHTB-MB) and selected tests from the Patient-Reported Outcomes Measurement Information System (PROMIS). Each had BOLD-fMRI at 3T, during WM (N-back) tasks with increasing attentional/WM load. RESULTS: One hundred sixty-nine participants were screened; 50 fulfilled the study criteria and had complete and usable data sets for this cross-sectional cohort study. Twenty-nine participants with PCC were diagnosed with COVID-19 242 ± 156 days earlier; they had similar ages (42 ± 12 vs 41 ± 12 years), gender proportion (65% vs 57%), racial/ethnic distribution, handedness, education, and socioeconomic status, as the 21 uninfected healthy controls. Despite the high prevalence of memory (79%) and concentration (93%) complaints, the PCC group had similar performance on the NIHTB-CB as the controls. However, participants with PCC had greater brain activation than the controls across the network (false discovery rate-corrected p = 0.003, Tmax = 4.17), with greater activation in the right superior frontal gyrus (p = 0.009, Cohen d = 0.81, 95% CI 0.15-1.46) but lesser deactivation in the default mode regions (p = 0.001, d = 1.03, 95% CI 0.61-1.99). Compared with controls, participants with PCC also had poorer dexterity and endurance on the NIHTB-MB, higher T scores for negative affect and perceived stress, but lower T scores for psychological well-being on the NIHTB-EB, as well as more pain symptoms and poorer mental and physical health on measures from the PROMIS. Greater brain activation predicted poorer scores on measures that were abnormal on the NIHTB-EB. DISCUSSION: Participants with PCC and neuropsychiatric symptoms demonstrated compensatory neural processes with greater usage of alternate brain regions, and reorganized networks, to maintain normal performance during WM tasks. BOLD-fMRI was sensitive for detecting brain abnormalities that correlated with various quantitative neuropsychiatric symptoms.

Factors Associated With Adherence to First-line Antiviral Therapy Among Commercially Insured Patients With Chronic Hepatitis B.

Background: Nonadherence to antiviral therapy can lead to poor clinical outcomes among patients with chronic hepatitis B (CHB). We used a claims database to evaluate risk factors for nonadherence to antiviral therapy among commercially insured patients with CHB in the United States. Methods: We obtained data for commercially insured adult patients with CHB prescribed entecavir or tenofovir disoproxil fumarate (TDF) in 2019. Primary outcomes were adherence to entecavir and adherence to TDF. Enrollees with a proportion of days covered (PDC) ≥80% were considered adherent. We presented adjusted odds ratios (AORs) from multivariate logistic regressions. Results: Eighty-three percent (n = 640) of entecavir patients were adherent, and 81% (n = 687) of TDF patients were adherent. Ninety-day supply (vs 30-day supply; AOR, 2.21; P < .01), mixed supply (vs 30-day supply; AOR, 2.19; P = .04), and ever using a mail order pharmacy (AOR, 1.92, P = .03) were associated with adherence to entecavir. Ninety-day supply (vs 30-day supply; AOR, 2.51; P < .01), mixed supply (vs 30-day supply; AOR, 1.82; P = .04), and use of a high-deductible health plan (vs no high-deductible health plan; AOR, 2.29; P = .01) were associated with adherence to TDF. Out-of-pocket spending of >$25 per 30-day supply of TDF was associated with reduced odds of adherence to TDF (vs <$5 per 30-day supply of TDF; AOR, 0.34; P < .01). Conclusions: Ninety-day and mixed-duration supplies of entecavir and TDF were associated with higher fill rates as compared with 30-day supplies among commercially insured patients with CHB.

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.

Rapid advances in artificial intelligence (AI) and machine learning, and specifically in deep learning (DL) techniques, have enabled broad application of these methods in health care. The promise of the DL approach has spurred further interest in computer-aided diagnosis (CAD) development and applications using both "traditional" machine learning methods and newer DL-based methods. We use the term CAD-AI to refer to this expanded clinical decision support environment that uses traditional and DL-based AI methods. Numerous studies have been published to date on the development of machine learning tools for computer-aided, or AI-assisted, clinical tasks. However, most of these machine learning models are not ready for clinical deployment. It is of paramount importance to ensure that a clinical decision support tool undergoes proper training and rigorous validation of its generalizability and robustness before adoption for patient care in the clinic. To address these important issues, the American Association of Physicists in Medicine (AAPM) Computer-Aided Image Analysis Subcommittee (CADSC) is charged, in part, to develop recommendations on practices and standards for the development and performance assessment of computer-aided decision support systems. The committee has previously published two opinion papers on the evaluation of CAD systems and issues associated with user training and quality assurance of these systems in the clinic. With machine learning techniques continuing to evolve and CAD applications expanding to new stages of the patient care process, the current task group report considers the broader issues common to the development of most, if not all, CAD-AI applications and their translation from the bench to the clinic. The goal is to bring attention to the proper training and validation of machine learning algorithms that may improve their generalizability and reliability and accelerate the adoption of CAD-AI systems for clinical decision support.

Relation of Incident Type 1 Diabetes to Recent COVID-19 Infection: Cohort Study Using e-Health Record Linkage in Scotland.

OBJECTIVE: Studies using claims databases reported that SARS-CoV-2 infection >30 days earlier was associated with an increase in the incidence of type 1 diabetes. Using exact dates of diabetes diagnosis from the national register in Scotland linked to virology laboratory data, we sought to replicate this finding. RESEARCH DESIGN AND METHODS: A cohort of 1,849,411 individuals aged <35 years without diabetes, including all those in Scotland who subsequently tested positive for SARS-CoV-2, was followed from 1 March 2020 to 22 November 2021. Incident type 1 diabetes was ascertained from the national registry. Using Cox regression, we tested the association of time-updated infection with incident diabetes. Trends in incidence of type 1 diabetes in the population from 2015 through 2021 were also estimated in a generalized additive model. RESULTS: There were 365,080 individuals who had at least one detected SARS-CoV-2 infection during follow-up and 1074 who developed type 1 diabetes. The rate ratio for incident type 1 diabetes associated with first positive test for SARS-CoV-2 (reference category: no previous infection) was 0.86 (95% CI 0.62, 1.21) for infection >30 days earlier and 2.62 (95% CI 1.81, 3.78) for infection in the previous 30 days. However, negative and positive SARS-CoV-2 tests were more frequent in the days surrounding diabetes presentation. In those aged 0-14 years, incidence of type 1 diabetes during 2020-2021 was 20% higher than the 7-year average. CONCLUSIONS: Type 1 diabetes incidence in children increased during the pandemic. However, the cohort analysis suggests that SARS-CoV-2 infection itself was not the cause of this increase.