Abstract

BackgroundInfective endocarditis is an uncommon but serious infection, where evidence for giving antibiotic prophylaxis before invasive dental procedures is inconclusive. In England, antibiotic prophylaxis was offered routinely to patients at risk of infective endocarditis until March 2008, when new guidelines aimed at reducing unnecessary antibiotic use were issued. We investigated whether changes in infective endocarditis incidence could be detected using electronic health records, assessing the impact of inclusion criteria/statistical model choice on inferences about the timing/type of any change.MethodsUsing national data from Hospital Episode Statistics covering 1998–2017, we modelled trends in infective endocarditis incidence using three different sets of inclusion criteria plus a range of regression models, identifying the most likely date for a change in trends if evidence for one existed. We also modelled trends in the proportions of different organism groups identified during infection episodes, using secondary diagnosis codes and data from national laboratory records. Lastly, we applied non-parametric local smoothing to visually inspect any changes in trend around the guideline change date.ResultsInfective endocarditis incidence increased markedly over the study (22.2–41.3 per million population in 1998 to 42.0–67.7 in 2017 depending on inclusion criteria). The most likely dates for a change in incidence trends ranged from September 2001 (uncertainty interval August 2000–May 2003) to May 2015 (March 1999–January 2016), depending on inclusion criteria and statistical model used. For the proportion of infective endocarditis cases associated with streptococci, the most likely change points ranged from October 2008 (March 2006–April 2010) to August 2015 (September 2013–November 2015), with those associated with oral streptococci decreasing in proportion after the change point. Smoothed trends showed no notable changes in trend around the guideline date.ConclusionsInfective endocarditis incidence has increased rapidly in England, though we did not detect any change in trends directly following the updated guidelines for antibiotic prophylaxis, either overall or in cases associated with oral streptococci. Estimates of when changes occurred were sensitive to inclusion criteria and statistical model choice, demonstrating the need for caution in interpreting single models when using large datasets. More research is needed to explore the factors behind this increase.

Highlights

  • Infective endocarditis is an uncommon but serious infection, where evidence for giving antibiotic prophylaxis before invasive dental procedures is inconclusive

  • Infective endocarditis incidence has increased rapidly in England, though we did not detect any change in trends directly following the updated guidelines for antibiotic prophylaxis, either overall or in cases associated with oral streptococci

  • This was in contrast to American Heart Association (AHA) [2] and European Society of Cardiology (ESC) [3] guidelines issued around the same time, which continued to recommend antibiotic prophylaxis in certain high-risk cases, e.g., patients with prosthetic heart valves or who had had infective endocarditis previously

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Summary

Introduction

Infective endocarditis is an uncommon but serious infection, where evidence for giving antibiotic prophylaxis before invasive dental procedures is inconclusive. We investigated whether changes in infective endocarditis incidence could be detected using electronic health records, assessing the impact of inclusion criteria/statistical model choice on inferences about the timing/type of any change. In March 2008, the National Institute for Health and Care Excellence (NICE) issued guidelines recommending that antibiotic prophylaxis during invasive dental procedures should no longer be routinely offered to people at risk of infective endocarditis in England [1]. We conducted a range of analyses using national EHR data on infective endocarditis in England, in particular investigating whether changes in incidence could be detected around the change in NICE guidelines or at other times, and assessing the impact of inclusion criteria and statistical model choice on inferences drawn about timing and types of change. We linked EHR data to national microbiology data to analyse trends in the microorganisms isolated from blood during each infective endocarditis episode, in particular those genera or species known to commonly colonise the oropharynx, which to our knowledge has not previously been done in England

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