Biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: statistical analysis plan for the BATCH trial and PRECISE sub-study.

INTRODUCTION: The BATCH trial is a multi-centre randomised controlled trial to compare procalcitonin-guided management of severe bacterial infection in children with current management. PRECISE is a mechanistic sub-study embedded into the BATCH trial. This paper describes the statistical analysis plan for the BATCH trial and PRECISE sub-study. METHODS: The BATCH trial will assess the effectiveness of an additional procalcitonin test in children (aged 72 h to 18 years) hospitalised with suspected or confirmed bacterial infection to guide antimicrobial prescribing decisions. Participants will be enrolled in the trial from randomisation until day 28 follow-up. The co-primary outcomes are duration of intravenous antibiotic use and a composite safety outcome. Target sample size is 1942 patients, based on detecting a 1-day reduction in intravenous antibiotic use (90% power, two-sided) and on a non-inferiority margin of 5% risk difference in the composite safety outcome (90% power, one-sided), while allowing for up to 10% loss to follow-up. RESULTS: Baseline characteristics will be summarised overall, by trial arm, and by whether patients were recruited before or after the pause in recruitment due to the COVID-19 pandemic. In the primary analysis, duration of intravenous antibiotic use will be tested for superiority using Cox regression, and the composite safety outcome will be tested for non-inferiority using logistic regression. The intervention will be judged successful if it reduces the duration of intravenous antibiotic use without compromising safety. Secondary analyses will include sensitivity analyses, pre-specified subgroup analyses, and analysis of secondary outcomes. Two sub-studies, including PRECISE, involve additional pre-specified subgroup analyses. All analyses will be adjusted for the balancing factors used in the randomisation, namely centre and patient age. CONCLUSION: We describe the statistical analysis plan for the BATCH trial and PRECISE sub-study, including definitions of clinical outcomes, reporting guidelines, statistical principles, and analysis methods. The trial uses a design with co-primary superiority and non-inferiority endpoints. The analysis plan has been written prior to the completion of follow-up. TRIAL REGISTRATION: BATCH: ISRCTN11369832, registered 20 September 2017, doi.org/10.1186/ISRCTN11369832. PRECISE: ISRCTN14945050, registered 17 December 2020, doi.org/10.1186/ISRCTN14945050.

Evaluation of Federated Learning Variations for COVID-19 diagnosis using Chest Radiographs from 42 US and European hospitals.

OBJECTIVE: Federated learning (FL) allows multiple distributed data holders to collaboratively learn a shared model without data sharing. However, individual health system data are heterogeneous. "Personalized" FL variations have been developed to counter data heterogeneity, but few have been evaluated using real-world healthcare data. The purpose of this study is to investigate the performance of a single-site versus a 3-client federated model using a previously described COVID-19 diagnostic model. Additionally, to investigate the effect of system heterogeneity, we evaluate the performance of 4 FL variations. MATERIALS AND METHODS: We leverage a FL healthcare collaborative including data from 5 international healthcare systems (US and Europe) encompassing 42 hospitals. We implemented a COVID-19 computer vision diagnosis system using the FedAvg algorithm implemented on Clara Train SDK 4.0. To study the effect of data heterogeneity, training data was pooled from 3 systems locally and federation was simulated. We compared a centralized/pooled model, versus FedAvg, and 3 personalized FL variations (FedProx, FedBN, FedAMP). RESULTS: We observed comparable model performance with respect to internal validation (local model: AUROC 0.94 vs FedAvg: 0.95, p = 0.5) and improved model generalizability with the FedAvg model (p < 0.05). When investigating the effects of model heterogeneity, we observed poor performance with FedAvg on internal validation as compared to personalized FL algorithms. FedAvg did have improved generalizability compared to personalized FL algorithms. On average, FedBN had the best rank performance on internal and external validation. CONCLUSION: FedAvg can significantly improve the generalization of the model compared to other personalization FL algorithms; however, at the cost of poor internal validity. Personalized FL may offer an opportunity to develop both internal and externally validated algorithms.

Dengue vaccine acceptability before and after the availability of COVID-19 vaccines in Puerto Rico.

Dengue is a growing public health threat, causing approximately 400 million infections annually. In June 2021, the Advisory Committee on Immunization Practices recommended the first dengue vaccine (CYD-TDV) for children aged 9-16 years with a previous dengue infection, living in endemic areas, such as Puerto Rico (PR). As the COVID-19 pandemic affected vaccine intention worldwide, we assessed dengue vaccine intention before (pre-COVID) and after (post-COVID) COVID-19 vaccine availability among participants enrolled in the Communities Organized to Prevent Arboviruses (COPA) cohort to prepare for dengue vaccine implementation in PR. We used logistic regression models to evaluate changes in dengue vaccine intention by interview timing and participant characteristics. Among 2,513 participants pre-COVID, 2,512 answered the dengue vaccine intention question for themselves, and 1,564 answered relative to their children. Post-COVID, dengue vaccine intention in adults increased for themselves from 73.4% to 84.5% (adjusted odds ratio (aOR) = 2.27, 95%CI: 1.90-2.71) and relative to their children from 75.6% to 85.5% (aOR = 2.21, 95%CI: 1.75-2.78). Among all participants, groups with higher dengue vaccine intention included those who reported previous year influenza vaccine uptake and those who reported being frequently bitten by mosquitos, compared to those who did not. Adult males were also more likely to intend to vaccinate themselves than females. Respondents who were employed or in school were less likely to intend to vaccinate compared to those who were not working. The primary reasons for vaccine hesitancy were concerns with side effects and not believing in vaccines, which should be considered during educational strategies prior to dengue vaccine implementation. In general, dengue vaccine intention is high in PR and has increased after COVID-19 vaccine availability, potentially due to increased awareness of vaccine importance during the COVID-19 pandemic.

Short-term risk prediction after major lower limb amputation: PERCEIVE study.

BACKGROUND: The accuracy with which healthcare professionals (HCPs) and risk prediction tools predict outcomes after major lower limb amputation (MLLA) is uncertain. The aim of this study was to evaluate the accuracy of predicting short-term (30 days after MLLA) mortality, morbidity, and revisional surgery. METHODS: The PERCEIVE (PrEdiction of Risk and Communication of outcomE following major lower limb amputation: a collaboratIVE) study was launched on 1 October 2020. It was an international multicentre study, including adults undergoing MLLA for complications of peripheral arterial disease and/or diabetes. Preoperative predictions of 30-day mortality, morbidity, and MLLA revision by surgeons and anaesthetists were recorded. Probabilities from relevant risk prediction tools were calculated. Evaluation of accuracy included measures of discrimination, calibration, and overall performance. RESULTS: Some 537 patients were included. HCPs had acceptable discrimination in predicting mortality (931 predictions; C-statistic 0.758) and MLLA revision (565 predictions; C-statistic 0.756), but were poor at predicting morbidity (980 predictions; C-statistic 0.616). They overpredicted the risk of all outcomes. All except three risk prediction tools had worse discrimination than HCPs for predicting mortality (C-statistics 0.789, 0.774, and 0.773); two of these significantly overestimated the risk compared with HCPs. SORT version 2 (the only tool incorporating HCP predictions) demonstrated better calibration and overall performance (Brier score 0.082) than HCPs. Tools predicting morbidity and MLLA revision had poor discrimination (C-statistics 0.520 and 0.679). CONCLUSION: Clinicians predicted mortality and MLLA revision well, but predicted morbidity poorly. They overestimated the risk of mortality, morbidity, and MLLA revision. Most short-term risk prediction tools had poorer discrimination or calibration than HCPs. The best method of predicting mortality was a statistical tool that incorporated HCP estimation.

Transcriptional reprogramming from innate immune functions to a pro-thrombotic signature by monocytes in COVID-19.

Although alterations in myeloid cells have been observed in COVID-19, the specific underlying mechanisms are not completely understood. Here, we examine the function of classical CD14+ monocytes in patients with mild and moderate COVID-19 during the acute phase of infection and in healthy individuals. Monocytes from COVID-19 patients display altered expression of cell surface receptors and a dysfunctional metabolic profile that distinguish them from healthy monocytes. Secondary pathogen sensing ex vivo leads to defects in pro-inflammatory cytokine and type-I IFN production in moderate COVID-19 cases, together with defects in glycolysis. COVID-19 monocytes switch their gene expression profile from canonical innate immune to pro-thrombotic signatures and are functionally pro-thrombotic, both at baseline and following ex vivo stimulation with SARS-CoV-2. Transcriptionally, COVID-19 monocytes are characterized by enrichment of pathways involved in hemostasis, immunothrombosis, platelet aggregation and other accessory pathways to platelet activation and clot formation. These results identify a potential mechanism by which monocyte dysfunction may contribute to COVID-19 pathology.

Adjustment in third culture kids: A systematic review of literature.

Third Culture Kids (TCKs) are children of expatriates who live in a culture other than their country of nationality or their parent's country of nationality for a significant part of their childhood. Past research has indicated that adjustment is a key factor in the success of global mobility. However, current research in the area of TCK adjustment is lacking. This systematic review aims to present and summarize all available published scientific data on the adjustment of internationally mobile children and adolescents who relocate with their families. We aim to understand factors related to TCK adjustment, highlight lacking research areas, and define areas of interest for future research. The eligibility criteria for inclusion in the review were: traditional TCKs; aged 7-17 years; measures taken during the relocation; outcome variables of wellbeing, psychological adjustment or social adjustment, or socio-cultural adjustment or adjustment. An initial search across eight databases in December 2021 yielded 9,433 studies, which were included in COVIDENCE and reviewed independently by two researchers at each phase. We finally included 14 studies in this study, 10 of which presented quantitative data. Extracted quantitative and qualitative studies were abstracted, and the main findings are presented using a consistent grid of codes: an initial computerized lexical scan (Leximancer) of all included papers generated a preliminary list of topics and their frequencies. We refined these initial topics using the most prominent theories around the topics of TCK, adjustment, and the extracted theories from selected papers and created a codebook. Then we abstracted the quantitative data from the selected studies and organized the statistically significant findings according to the codes. Lastly, we abstracted and synthesized the findings from qualitative studies. Efforts were made to present the available data within a reading grid, which enhances the understanding of mechanisms specific to the sample population and also makes it apparent where more research is needed. Specifically, findings suggest a need for a more inclusive multi-trajectory adjustment model and a better definition of the ecological sample. The coding system for the extraction and analysis in this systematic review may be a guide for researchers planning future studies on TCK adjustment. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020151071, identifier: CRD42020151071.

The Benefit of Virtual Outpatient Rehabilitative Care: a Pilot Study

Research Objectives To examine the feasibility of the Live Long Walk Strong (LLWS) rehabilitation program delivered via telehealth. Secondary objectives are to examine the preliminary efficacy of LLWS on mobility and exercise self-efficacy. Design Nonrandomized, noncontrolled pilot with 16-week follow-up. Setting Ambulatory Care at the VA Boston Healthcare System. Participants Community-dwelling Veterans, aged 50 years and older. Interventions An evidence-based outpatient rehabilitation program was adapted as a telehealth program during year one of the COVID-19 pandemic. It included 10 sessions with a physical therapist over 8 weeks via VA Video Connect. LLWS uniquely addresses impairments linked to mobility decline and behavior change strategies targeting exercise adoption. Main Outcome Measures The primary outcome was feasibility measured by recruitment and retention, number and type of technology problems, and completion of program components. Secondary outcomes included the Activity Measure for Post-Acute Care (AM-PAC) outpatient mobility measure and the Self-Efficacy for Exercise (SEE) scale. Results After contacting 178 primary care patients with self-reported mobility limitations, 21 enrolled in the study (12%). Seven never initiated the study due to intercurrent medical issues (n=5) and delayed disclosure of participation in another exercise study (n=2). Participants averaged 2 technology interruptions. Over 99% of the technology issues were resolved by the PT and fell into 2 broad categories of connectivity and ease of use. Attendance rate was 98% across all intervention visits. We examined the change in self-reported mobility and self-efficacy from baseline through follow-up using linear mixed models with a fixed effect of time. The AM-PAC scores improved from baseline by average of 4.1 points (p = 0.019) at 2 weeks follow-up and remained (4.2 points, p= 0.014) at 16 weeks follow-up. This improvement in mobility surpassed clinically meaningful levels. The change in self-efficacy (0.9 points) was not statistically significant. Conclusions The telehealth LLWS program appears feasible and capable to produce both short and long term improvements in physical functioning. Its benefits need to be tested in studies scaled to better evaluate efficacy and effectiveness. Author(s) Disclosures

Procalcitonin Evaluation of Antibiotic Use in COVID-19 Hospitalised Patients (PEACH): Protocol for a Retrospective Observational Study.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus responsible for the coronavirus disease 2019 (COVID-19) pandemic. Although COVID-19 is a viral illness, many patients admitted to hospital are prescribed antibiotics, based on concerns that COVID-19 patients may experience secondary bacterial infections, and the assumption that they may respond well to antibiotic therapy. This has led to an increase in antibiotic use for some hospitalised patients at a time when accumulating antibiotic resistance is a major global threat to health. Procalcitonin (PCT) is an inflammatory marker measured in blood samples and widely recommended to help diagnose bacterial infections and guide antibiotic treatment. The PEACH study will compare patient outcomes from English and Welsh hospitals that used PCT testing during the first wave of the COVID-19 pandemic with those from hospitals not using PCT. It will help to determine whether, and how, PCT testing should be used in the NHS in future waves of COVID-19 to protect patients from antibiotic overuse. PEACH is a retrospective observational cohort study using patient-level clinical data from acute hospital Trusts and Health Boards in England and Wales. The primary objective is to measure the difference in antibiotic use between COVID-19 patients who did or did not have PCT testing at the time of diagnosis. Secondary objectives include measuring differences in length of stay, mortality, intensive care unit admission, and resistant bacterial infections between these groups.

Intrapulmonary shunting is a key contributor to hypoxia in COVID-19: An update on the pathophysiology.

BACKGROUND: The pathophysiology of COVID-19 remains poorly understood. We aimed to estimate the contribution of intrapulmonary shunting and ventilation-to-perfusion (VA/Q) mismatch using a mathematical model to construct oxygen-haemoglobin dissociation curves (ODCs). METHODS: ODCs were constructed using transcutaneous pulse oximetry at two different fractions of inspired oxygen (FiO2). 199 patients were included from two large district general hospitals in the South East of England from 1st to 14th January 2021. The study was supported by the National Institute of Health Research (NIHR) Clinical Research Network. RESULTS: Overall mortality was 29%. Mean age was 68.2 years (SEM 1·2) with 46% female. Median shunt on admission was 17% (IQR 8-24.5); VA/Q was 0.61 (IQR 0.52-0.73). Shunt was 37.5% higher in deaths (median 22%, IQR 9-29) compared to survivors (16%, 8-21; p = 0.0088) and was a predictor of mortality (OR 1.04; 95% CI 1.01-1.07). Admission oxygen saturations were more strongly predictive of mortality (OR 0.91, 95% CI 0.87-0.96). There was no difference in VA/Q mismatch between deaths (0.60; IQR 0.50-0.73) and survivors (0.61; IQR 0.52-0.73; p = 0.63) and it was not predictive of mortality (OR 0.68; 95% CI 0.18-2.52; p = 0.55). Shunt negatively correlated with admission oxygen saturation (R -0.533; p<0.0001) whereas VA/Q was not (R 0.1137; p = 0.12). INTERPRETATION: Shunt, not VA/Q mismatch, was associated with worsening hypoxia, though calculating shunt was not of prognostic value. This study adds to our understanding of the pathophysiology of hypoxaemia in COVID-19. Our inexpensive and reliable technique may provide further insights into the pathophysiology of hypoxia in other respiratory diseases.

Virtual transition to leadership course: supporting senior house officers to step up as registrar in paediatric training through the COVID-19 pandemic

AimsTransition to Leadership course (T2L) is a well-established educational programme endorsed by RCPCH, aimed to guide senior house officers (SHOs) developing into paediatric registrars. Due to the Covid-19 pandemic, this face-to-face course was converted to the free virtual 3 days course since 2020, open to paediatric trainees national-wide. This course offered easily accessible online resources with educational materials and recordings, serial webinars and small group working based on clinical scenarios. The first course in 2020 was well-received with positive impacts (published in 2021 RCPCH conference). The faculty has taken recommendations from the candidates and modified the course contents in line with efficient virtual teaching with more comprehensive online resources. We evaluated the effectiveness of this virtual training, especially in boosting a confidence level in candidates in multiple domains in becoming a paediatric registrar.MethodsWe hosted two online courses in 2020 and 2021 during the height of the COVID-19 pandemic, made available national-wide. For the 2021 course, candidates were asked to fill two questionnaires based on the 4-point Likert scale, before and after the course. The questionnaire entailed 10 domains of being a great paediatric registrar such as dealing with common neonatal and paediatric presentations, leading resuscitations, child death, conflict, leading at night, dealing with mistakes, consents, calling consultants, safeguarding. We asked candidates in their confidence level before and after the course and their responses have been analysed using a paired T-test.ResultsA total of 39 anonymised and paired responses was received for analysis from pre and post course questionnaires. There was a significant increase in candidates’ confidence in almost all the domains;common neonatal problems, knowing when to call consultants, leading a team, dealing with mistakes and coping with a greater amount of responsibility and accountability (p<0.05). Even more significant benefit was seen in domains such as managing cases with safeguarding concerns, difficulties regarding consent and death in children (p<0.005). Confidence in dealing with common paediatric problems and leading a resuscitation did not change significantly, since SHOs are more frequently exposed to these scenarios. The difference in pre and post course survey on their overall confidence level to a specific question ‘How well prepared do you feel to become a paediatric registrar?’ was extremely statistically significant (p-value = 0.0002, confidence interval: -0.93 to -0.31).In the post course questionnaire of 60 responses, 56% would like to attend the course face-to-face, which remained similar to the last year of 53%. A remarkable 98% of candidates agreed that this course should be a mandatory training to aid the transition from SHOs to paediatric registrars.ConclusionFor 2 years in a row, T2L course from LSP helped SHOs transitioning to become paediatric registrars in a virtual set-up during the COVID-19 pandemic. We demonstrated that candidates gained significant confidence in multiple domains in their preparation to step up to a senior role.As we are rising from the pandemic as a society, we envisage to offer a hybrid programme with our well-established online resources, face-to-face peer discussion and networking in the future.

Antibiotic prescribing in hospitalized patients with COVID-19 as a function of inflammatory markers in Wave 1 versus Wave 2: a systematic review

Background Less than 10% of hospitalized cases in the United Kingdom during the first wave of the pandemic had bacterial coinfection, but approximately 75% were prescribed antibiotics contrary to NICE guidelines. We have evaluated the relationship between antibiotic prescribing and biomarker use, in hospitalized adult patients with COVID-19 in the UK, as synthesis defined by the pandemic timeline, particularly during ‘Wave 2’ is lacking. Clinical outcomes were compared in the context of antimicrobial stewardship. C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), procalcitonin (PCT) and white cell count (WCC) were selected based on clinical relevance. Methods Studies (n = 300) dated 2019–22 were identified via EMBASE and Web of Science databases, using relevant search terms. Wave 1 and Wave 2 parameters were defined by the Office for National Statistics. Literature selection was organized by the preferred reporting items for systematic reviews and meta-analyses (PRISMA). PROSPERO registration was commenced mitigating unplanned duplication. Diagnostics, prescribing, clinical outcomes and demographics were tabulated. Ten percent of studies were cross-checked. Results Final selection criteria yielded 29 papers, of which only 4 were from Wave 2. Cohort and retrospective studies accounted for 69% and 80%, respectively. Heterogeneity of studies prevented a meta-analysis. Determining disease severity or coinfection was the focus of ( n= 6) studies. The papers referencing WCC (n = 12) established that leucocytosis, like elevated CRP, was an efficient marker for bacterial infections. Additionally, CRP >100 mg/L was associated with increased prescribing. Another common theme was cut-off values to escalate (n = 9) or de-escalate (n = 12) prescribing. In PCT papers (n = 14), common de-escalation cut-offs were 0.25 ng/mL and 0.50 ng/mL. Lower admission PCT was associated with decreased mortality, admission duration and ICU admission rate. ESR use was unevaluable as it was only mentioned in one case study. During Wave 2, the use of immunomodulatory therapy may have contributed towards lower inflammatory markers. Hospital stays decreased while ICU duration increased. In ICU patient studies (n = 4) biomarker testing was more frequent. The higher 0.50 ng/mL PCT cut-off was employed but with higher mortality and ventilation rate. Conclusions More studies of Wave 2 cohorts are required. A weakness of the evidence base is that cohort study outcomes were reported in varying detail, a potential consequence of the need for rapidly published evidence. Nonetheless, PCT and CRP were demonstrated to be useful as prognosis indicators on hospital admission, and in timely antibiotic prescribing. Updated national guidelines should include standardized biomarker thresholds to improve antimicrobial stewardship.

Perceived threat of COVID-19, attitudes towards vaccination, and vaccine hesitancy: A prospective longitudinal study in the UK.

OBJECTIVES: Using the Health Belief Model as a conceptual framework, we investigated the association between attitudes towards COVID-19, COVID-19 vaccinations, and vaccine hesitancy and change in these variables over a 9-month period in a UK cohort. METHODS: The COPE study cohort (n = 11,113) was recruited via an online survey at enrolment in March/April 2020. The study was advertised via the HealthWise Wales research registry and social media. Follow-up data were available for 6942 people at 3 months (June/July 2020) and 5037 at 12 months (March/April 2021) post-enrolment. Measures included demographics, perceived threat of COVID-19, perceived control, intention to accept or decline a COVID-19 vaccination, and attitudes towards vaccination. Logistic regression models were fitted cross-sectionally at 3 and 12 months to assess the association between motivational factors and vaccine hesitancy. Longitudinal changes in motivational variables for vaccine-hesitant and non-hesitant groups were examined using mixed-effect analysis of variance models. RESULTS: Fear of COVID-19, perceived susceptibility to COVID-19, and perceived personal control over COVID-19 infection transmission decreased between the 3- and 12-month surveys. Vaccine hesitancy at 12 months was independently associated with low fear of the disease and more negative attitudes towards COVID-19 vaccination. Specific barriers to COVID-19 vaccine uptake included concerns about safety and efficacy in light of its rapid development, mistrust of government and pharmaceutical companies, dislike of coercive policies, and perceived lack of relaxation in COVID-19-related restrictions as the vaccination programme progressed. CONCLUSIONS: Decreasing fear of COVID-19, perceived susceptibility to the disease, and perceptions of personal control over reducing infection-transmission may impact future COVID-19 vaccination uptake.

Treatment of Hidradenitis Suppurativa Evaluation Study (THESEUS): protocol for a prospective cohort study.

BACKGROUND: Hidradenitis suppurativa (HS) is a chronic, painful, inflammatory skin disease with estimates of prevalence in the European population of 1%-2%. Despite being a relatively common condition, the evidence base for management of HS is limited. European and North American management guidelines rely on consensus for many aspects of treatment and within the UK variations in management of HS have been identified. The HS James Lind Alliance Priority Setting Partnership (PSP) published a top 10 list of future HS research priorities including both medical and surgical interventions. The aims of the THESEUS study are to inform the design of future HS randomised controlled trials (RCTs) and to understand how HS treatments are currently used. THESEUS incorporates several HS PSP research priorities, including investigation of oral and surgical treatments. Core outcome domains have been established by the HIdradenitis SuppuraTiva cORe outcomes set International Collaboration (HISTORIC) and THESEUS is designed to validate instruments to measure the domains. METHODS AND ANALYSIS: The THESEUS study is a prospective observational cohort study. Participants, adults with active HS of any severity, will be asked to select one of five HS treatment options that is appropriate for their HS care. Participants will be allocated to their chosen treatment intervention and followed for a period of up to 12 months. Outcomes will be assessed at 3-monthly intervals using HISTORIC core outcome instruments. Video recordings of the surgical and laser operations will provide informational and training videos for future trials. Nested mixed-methods studies will characterise the interventions in clinical practice, understand facilitators and barriers to recruitment into future HS RCTs and examine patients' and clinicians' perspectives on HS treatment choices. TRIAL REGISTRATION NUMBER: ISRCTN69985145.

Procalcitonin evaluation of antibiotic use in COVID-19 hospitalized patients during the first wave of COVID-19: the PEACH study

Background A minority of patients presenting to hospital with COVID-19 have bacterial coinfection. Procalcitonin testing may help identify patients for whom antibiotics should be prescribed or withheld. The PEACH study describes the use of procalcitonin in English and Welsh hospitals during the first wave of the COVID-19 pandemic to help diagnose bacterial infections and guide antibiotic treatment. There is a lack of clear evidence to support its use in lung infections, which means in some hospitals, clinicians have used the procalcitonin test to guide antibiotic decisions in COVID-19, whilst in other hospitals, they have not. Our study is analysing data from hospitals that did and did not use procalcitonin testing during the first wave of the COVID-19 pandemic. It will determine whether and how procalcitonin testing should be used in the NHS in future waves of COVID-19 to protect patients from antibiotic overuse. Methods To assess whether the use of PCT testing, to guide antibiotic prescribing, safely reduced antibiotic use among patients who were hospitalized with COVID-19 during the first wave of the pandemic, we are answering this question through three different, and complimentary, work streams (WS), each with discrete work packages (WP): (i) Work Stream 1: utilization of PCT testing to guide antibiotic prescribing during the first wave of COVID-19 pandemic;(ii) Work Stream 2: patient-level impact of PCT testing on antibiotic exposure and clinical outcome (main work stream currently in analysis);and (iii) Work Stream 3: health economics analysis of PCT testing to guide antibiotics in COVID-19. Results Our first publication from Work Stream 1 (Antibiotics 2021, 10: 516) used a web-based survey to gather data from antimicrobial leads about the use of procalcitonin testing. Responses were received from 148/151 (98%) eligible hospitals. During the first wave of the COVID-19 pandemic, there was widespread introduction and expansion of PCT use in NHS hospitals. The number of hospitals using PCT in emergency/acute admissions rose from 17 (11%) to 74/146 (50.7%) and use in ICU increased from 70 (47.6%) to 124/147 (84.4%). This increase happened predominantly in March and April 2020, preceding NICE guidance. Approximately half of hospitals used PCT as a single test to guide decisions to discontinue antibiotics and half used repeated measurements. There was marked variation in the thresholds used for empirical antibiotic cessation and guidance about interpretation of values. Conclusions Procalcitonin testing has been widely adopted in the NHS during the COVID-19 pandemic in an unevidenced, heterogeneous way and in conflict with relevant NICE guidance. Further research is needed urgently that assesses the impact of this change on antibiotic prescribing and patient safety. Work Stream 2 is ongoing, and results will be published once available.

Cohort profile: The UK COVID-19 Public Experiences (COPE) prospective longitudinal mixed-methods study of health and well-being during the SARSCoV2 coronavirus pandemic.

Public perceptions of pandemic viral threats and government policies can influence adherence to containment, delay, and mitigation policies such as physical distancing, hygienic practices, use of physical barriers, uptake of testing, contact tracing, and vaccination programs. The UK COVID-19 Public Experiences (COPE) study aims to identify determinants of health behaviour using the Capability, Opportunity, Motivation (COM-B) model using a longitudinal mixed-methods approach. Here, we provide a detailed description of the demographic and self-reported health characteristics of the COPE cohort at baseline assessment, an overview of data collected, and plans for follow-up of the cohort. The COPE baseline survey was completed by 11,113 UK adult residents (18+ years of age). Baseline data collection started on the 13th of March 2020 (10-days before the introduction of the first national COVID-19 lockdown in the UK) and finished on the 13th of April 2020. Participants were recruited via the HealthWise Wales (HWW) research registry and through social media snowballing and advertising (Facebook®, Twitter®, Instagram®). Participants were predominantly female (69%), over 50 years of age (68%), identified as white (98%), and were living with their partner (68%). A large proportion (67%) had a college/university level education, and half reported a pre-existing health condition (50%). Initial follow-up plans for the cohort included in-depth surveys at 3-months and 12-months after the first UK national lockdown to assess short and medium-term effects of the pandemic on health behaviour and subjective health and well-being. Additional consent will be sought from participants at follow-up for data linkage and surveys at 18 and 24-months after the initial UK national lockdown. A large non-random sample was recruited to the COPE cohort during the early stages of the COVID-19 pandemic, which will enable longitudinal analysis of the determinants of health behaviour and changes in subjective health and well-being over the course of the pandemic.

Impact of introducing procalcitonin testing on antibiotic usage in acute NHS hospitals during the first wave of COVID-19 in the UK: a controlled interrupted time series analysis of organization-level data.

BACKGROUND: Blood biomarkers have the potential to help identify COVID-19 patients with bacterial coinfection in whom antibiotics are indicated. During the COVID-19 pandemic, procalcitonin testing was widely introduced at hospitals in the UK to guide antibiotic prescribing. We have determined the impact of this on hospital-level antibiotic consumption. METHODS: We conducted a retrospective, controlled interrupted time series analysis of organization-level data describing antibiotic dispensing, hospital activity and procalcitonin testing for acute hospitals/hospital trusts in England and Wales during the first wave of COVID-19 (24 February to 5 July 2020). RESULTS: In the main analysis of 105 hospitals in England, introduction of procalcitonin testing in emergency departments/acute medical admission units was associated with a statistically significant decrease in total antibiotic use of -1.08 (95% CI: -1.81 to -0.36) DDDs of antibiotic per admission per week per trust. This effect was then lost at a rate of 0.05 (95% CI: 0.02-0.08) DDDs per admission per week. Similar results were found specifically for first-line antibiotics for community-acquired pneumonia and for COVID-19 admissions rather than all admissions. Introduction of procalcitonin in the ICU setting was not associated with any significant change in antibiotic use. CONCLUSIONS: At hospitals where procalcitonin testing was introduced in emergency departments/acute medical units this was associated with an initial, but unsustained, reduction in antibiotic use. Further research should establish the patient-level impact of procalcitonin testing in this population and understand its potential for clinical effectiveness.

PROCALCITONIN KINETICS MAY INDICATE PRESENCE OF SECONDARY BACTERIAL INFECTIONS IN COVID-19 ARDS

PCT rise was observed in 35 (53.8%) of patients, CRP rise in 42 (67.4%) and WCC rise in 52 (80%) of the patients. VAP was the most common ICU-acquired infection, occurring in 28/65 (43.1%) patients, of whom 8/65 (12.3%) suffered both VAP and BSI during their ICU stay. B Introduction: b Secondary bacterial infection in Covid-19 is associated with increased mortality and disproportionately affects critically ill patients. [Extracted from the article] Copyright of Critical Care Medicine is the property of Lippincott Williams & Wilkins 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.)

Characterizing COVID-19 clinical phenotypes and associated comorbidities and complication profiles.

PURPOSE: Heterogeneity has been observed in outcomes of hospitalized patients with coronavirus disease 2019 (COVID-19). Identification of clinical phenotypes may facilitate tailored therapy and improve outcomes. The purpose of this study is to identify specific clinical phenotypes across COVID-19 patients and compare admission characteristics and outcomes. METHODS: This is a retrospective analysis of COVID-19 patients from March 7, 2020 to August 25, 2020 at 14 U.S. hospitals. Ensemble clustering was performed on 33 variables collected within 72 hours of admission. Principal component analysis was performed to visualize variable contributions to clustering. Multinomial regression models were fit to compare patient comorbidities across phenotypes. Multivariable models were fit to estimate associations between phenotype and in-hospital complications and clinical outcomes. RESULTS: The database included 1,022 hospitalized patients with COVID-19. Three clinical phenotypes were identified (I, II, III), with 236 [23.1%] patients in phenotype I, 613 [60%] patients in phenotype II, and 173 [16.9%] patients in phenotype III. Patients with respiratory comorbidities were most commonly phenotype III (p = 0.002), while patients with hematologic, renal, and cardiac (all p<0.001) comorbidities were most commonly phenotype I. Adjusted odds of respiratory, renal, hepatic, metabolic (all p<0.001), and hematological (p = 0.02) complications were highest for phenotype I. Phenotypes I and II were associated with 7.30-fold (HR:7.30, 95% CI:(3.11-17.17), p<0.001) and 2.57-fold (HR:2.57, 95% CI:(1.10-6.00), p = 0.03) increases in hazard of death relative to phenotype III. CONCLUSION: We identified three clinical COVID-19 phenotypes, reflecting patient populations with different comorbidities, complications, and clinical outcomes. Future research is needed to determine the utility of these phenotypes in clinical practice and trial design.