Predicting Infectious ComplicatioNs in Children with Cancer: an external validation study.

Autor: Haeusler GM; The Paediatric Integrated Cancer Service, 50 Flemington Road, Parkville, Victoria 3052, Australia.; Department of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria 3000, Australia.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria 3010, Australia.; Department of Infection and Immunity, Monash Children's Hospital, Department of Paediatrics, Monash University, Clayton, Victoria 3168, Australia., Thursky KA; Department of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria 3000, Australia.; Department of Medicine, University of Melbourne, Parkville, Victoria 3010, Australia.; NHMRC National Centre for Antimicrobial Stewardship, The Peter Doherty Institute for Infection and Immunity, 792 Elizabeth Street, Melbourne, Victoria 3000, Australia.; Victorian Infectious Diseases Service, The Peter Doherty Institute for Infection and Immunity, 792 Elizabeth Street, Melbourne, Victoria 3000, Australia., Mechinaud F; Children's Cancer Centre, Royal Children's Hospital, 50 Flemington Road, Parkville, Victoria 3052, Australia., Babl FE; Department of Emergency Medicine, Royal Children's Hospital, 50 Flemington Road, Parkville, Victoria 3052, Australia.; Murdoch Children's Research Institute, 50 Flemington Road, Parkville, Victoria 3052, Australia.; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria 3010, Australia., De Abreu Lourenco R; Centre for Health Economics Research and Evaluation, University of Technology Sydney, 15 Broadway, Ultimo, New South Wales 2007, Australia., Slavin MA; Department of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria 3000, Australia.; Department of Medicine, University of Melbourne, Parkville, Victoria 3010, Australia.; Victorian Infectious Diseases Service, The Peter Doherty Institute for Infection and Immunity, 792 Elizabeth Street, Melbourne, Victoria 3000, Australia., Phillips R; Centre for Reviews and Dissemination, University of York, Heslington, York YO10 5DD, UK.; Leeds Children's Hospital, Leeds General Infirmary, Great George Street, Leeds LS1 3EX, UK.
Jazyk: angličtina
Zdroj: British journal of cancer [Br J Cancer] 2017 Jul 11; Vol. 117 (2), pp. 171-178. Date of Electronic Publication: 2017 Jun 13.
DOI: 10.1038/bjc.2017.154
Abstrakt: Background: The aim of this study was to validate the 'Predicting Infectious ComplicatioNs in Children with Cancer' (PICNICC) clinical decision rule (CDR) that predicts microbiologically documented infection (MDI) in children with cancer and fever and neutropenia (FN). We also investigated costs associated with current FN management strategies in Australia.
Methods: Demographic, episode, outcome and cost data were retrospectively collected on 650 episodes of FN. We assessed the discrimination, calibration, sensitivity and specificity of the PICNICC CDR in our cohort compared with the derivation data set.
Results: Using the original variable coefficients, the CDR performed poorly. After recalibration the PICNICC CDR had an area under the receiver operating characteristic (AUC-ROC) curve of 0.638 (95% CI 0.590-0.685) and calibration slope of 0.24. The sensitivity, specificity, positive predictive value and negative predictive value of the PICNICC CDR at presentation was 78.4%, 39.8%, 28.6% and 85.7%, respectively. For bacteraemia, the sensitivity improved to 85.2% and AUC-ROC to 0.71. Application at day 2, taking into consideration the proportion of MDI known (43%), further improved the sensitivity to 87.7%. Length of stay is the main contributor to cost of FN treatment, with an average cost per day of AUD 2183 in the low-risk group.
Conclusions: For prediction of any MDI, the PICNICC rule did not perform as well at presentation in our cohort as compared with the derivation study. However, for bacteraemia, the predictive ability was similar to that of the derivation study, highlighting the importance of recalibration using local data. Performance also improved after an overnight period of observation. Implementation of a low-risk pathway, using the PICNICC CDR after a short period of inpatient observation, is likely to be safe and has the potential to reduce health-care expenditure.
Databáze: MEDLINE
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