Predicting invasive fungal disease due to Candida species in non-neutropenic, critically ill, adult patients in United Kingdom critical care units

BMC Infectious Diseases

Research Article

Rosemary A. Barnes¹  Neil Soni²  Elizabeth J. Allen³  Sheila E. Harvey⁴  Krishna Patel⁴  Kathryn M. Rowan⁴  David A. Harrison⁴  Hannah Muskett⁴  Jason Shahin⁵  Sharmistha Biswas⁶  Christopher C. Kibbler⁷  Jonathan Edgeworth⁸ 

[1] Cardiff University, Cardiff, UK;Chelsea and Westminster Hospital, London, UK;Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK;Intensive Care National Audit & Research Centre, Napier House, 24 High Holborn, WC1V 6AZ, London, UK;Intensive Care National Audit & Research Centre, Napier House, 24 High Holborn, WC1V 6AZ, London, UK;McGill University, Montreal, Canada;McGill University, Montreal, Canada;Royal Free Hospital, London, UK;St Thomas’ Hospital, London, UK;

关键词: Critical care;    Invasive fungal disease;    Candida;    Fungal;    Prophylaxis;   

DOI  :  10.1186/s12879-016-1803-9

 received in 2016-07-26, accepted in 2016-08-23,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundGiven the predominance of invasive fungal disease (IFD) amongst the non-immunocompromised adult critically ill population, the potential benefit of antifungal prophylaxis and the lack of generalisable tools to identify high risk patients, the aim of the current study was to describe the epidemiology of IFD in UK critical care units, and to develop and validate a clinical risk prediction tool to identify non-neutropenic, critically ill adult patients at high risk of IFD who would benefit from antifungal prophylaxis.MethodsData on risk factors for, and outcomes from, IFD were collected for consecutive admissions to adult, general critical care units in the UK participating in the Fungal Infection Risk Evaluation (FIRE) Study. Three risk prediction models were developed to model the risk of subsequent Candida IFD based on information available at three time points: admission to the critical care unit, at the end of 24 h and at the end of calendar day 3 of the critical care unit stay. The final model at each time point was evaluated in the three external validation samples.ResultsBetween July 2009 and April 2011, 60,778 admissions from 96 critical care units were recruited. In total, 359 admissions (0.6 %) were admitted with, or developed, Candida IFD (66 % Candida albicans). At the rate of candidaemia of 3.3 per 1000 admissions, blood was the most common Candida IFD infection site. Of the initial 46 potential variables, the final admission model and the 24-h model both contained seven variables while the end of calendar day 3 model contained five variables. The end of calendar day 3 model performed the best with a c index of 0.709 in the full validation sample.ConclusionsIncidence of Candida IFD in UK critical care units in this study was consistent with reports from other European epidemiological studies, but lower than that suggested by previous hospital-wide surveillance in the UK during the 1990s. Risk modeling using classical statistical methods produced relatively simple risk models, and associated clinical decision rules, that provided acceptable discrimination for identifying patients at ‘high risk’ of Candida IFD.Trial registrationThe FIRE Study was reviewed and approved by the Bolton NHS Research Ethics Committee (reference: 08/H1009/85), the Scotland A Research Ethics Committee (reference: 09/MRE00/76) and the National Information Governance Board (approval number: PIAG 2-10(f)/2005).

【 授权许可】

CC BY   
© The Author(s). 2016