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The article discusses sixteenth century Master of Revels Sir Thomas Benger, based on accounts of masques recounted in the correspondence written to Sir John Thynne, former Lord Protector of King Edward VI. Benger was appointed to the court of Queen Elizabeth I in 1560 and soon organized the marriage celebrations for William Brooke, Lord Cobham, and Frances Newton, one of Elizabeth's chamberers. In 1567, a Shrove Tuesday masque he oversaw resulted in his imprisonment in the Tower of London, England. Letters written by Richard Young, possibly a clerk of letters patent in 1571, to Thynne are detailed.

Introduction: PBC registries in the UK focus on data from secondary care without clear coordinated contribution from primary care. The Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) receives data from > 500 primary care practices (PCPs). Notably, the Lancet commissioning group is extracting data from the RCGP RSC database to shape UK policy on liver disease., Aims: To create a novel ontology to facilitate PBC case finding from primary care provider (PCP) records., Methods: RCGP RSC data were collected from participating PCPs in the county of Surrey, UK. PBC diagnostic criteria of the AASLD and EASL guidelines were used to develop 725 data codes to facilitate patient record searches. A scoring system built into the ontology allowed categorization of cases as PBC definite, PBC probable, and PBC unlikely., Results: A total of 218,099 records were searched from participating PCPs. Of these, there were 58 PBC definite, 2317 PBC probable, and 215,724 PBC unlikely patients. There were 32 PBC definite patients who did not match to our regional PBC database and were henceforth included as new-found cases. Two of these cases were not labeled as PBC by the PCP. From the PBC unlikely group, 7/215,724 (0.003%) patients were labeled as PBC in secondary care records; however, none of them were coded as having PBC by their PCPs., Conclusions: Utilization of the UK National RCGP RSC database supported by novel ontology score has successfully helped us identify (i) new cases of PBC not known to local/regional secondary care providers and (ii) de novo PBC cases. There are many PBC probable cases whose data merit further careful evaluation.

Background: Influenza contributes significantly to the burden of disease worldwide; the United Kingdom has a policy of vaccination across all ages. Influenza vaccinations are known to be associated with common minor adverse events of interest (AEIs). The European Medicines Agency (EMA) recommends ongoing surveillance of AEIs following influenza vaccination to monitor common and detect infrequent but important AEIs., Methods: A retrospective cohort study using computerised medical record data from the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) sentinel network database 2010-2018 (N = 848,375). We extracted data about vaccine exposure (n = 3,121,334) and consultations for AEIs within seven days of receiving vaccinations specified by the EMA (1,488,870 consultations by 430,029 unique individuals). We used a self-case series design which employs a likelihood estimation method using conditioning of observed adverse events. Such a model assumes non-homogenous Poisson intensity processes for each exposure period and age interval. We compared AEI between QIV and TIV reporting relative incidence (RI) of AEIs. A RI < 1 signified lower AEI rate compared to TIV., Results: QIV was associated with a RI of AEIs of 1.14 (95%CI, 1.10-1.18, p < 0.01), though the number of years exposure was limited. By way of contrast, LAIV had a lower rate 0.60 (95%CI 0.63-0.68, p < 0.001). Cellular manufacture was also associated with a lower rate 0.78 (95%CI 0.61-0.99, p = 0.04). AEIs varied by season: Rash and musculoskeletal conditions are particularly pronounced in the 2014/15 season and respiratory conditions in 2016/17. In an analysis of all seasons, we found an elevated relative incidence of AEIs of 1.78 (95%CI, 1.62-1.95) in pregnant women and 1.76 (95%CI, 1.56 - 1.99) in children under 5 years., Conclusion: Routine sentinel network data can be used to contrast AEIs between vaccine types and may provide a consistent method of observation of vaccine benefit-risk over time., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: SdeL received funding from GSK to conduct EMA specification enhanced surveillance of AEIs, through the University of Surrey. He has attended Sanofi, and Seqirus advisory boards.., (Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.)