PLoS Medicine (Jan 2012)

Surveillance of infection severity: a registry study of laboratory diagnosed Clostridium difficile.

  • Iryna Schlackow,
  • A Sarah Walker,
  • Kate Dingle,
  • David Griffiths,
  • Sarah Oakley,
  • John Finney,
  • Ali Vaughan,
  • Martin J Gill,
  • Derrick W Crook,
  • Tim E A Peto,
  • David H Wyllie

DOI
https://doi.org/10.1371/journal.pmed.1001279
Journal volume & issue
Vol. 9, no. 7
p. e1001279

Abstract

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BackgroundChanging clinical impact, as virulent clones replace less virulent ones, is a feature of many pathogenic bacterial species and can be difficult to detect. Consequently, innovative techniques monitoring infection severity are of potential clinical value.Methods and findingsWe studied 5,551 toxin-positive and 20,098 persistently toxin-negative patients tested for Clostridium difficile infection between February 1998 and July 2009 in a group of hospitals based in Oxford, UK, and investigated 28-day mortality and biomarkers of inflammation (blood neutrophil count, urea, and creatinine concentrations) collected at diagnosis using iterative sequential regression (ISR), a novel joinpoint-based regression technique suitable for serial monitoring of continuous or dichotomous outcomes. Among C. difficile toxin-positive patients in the Oxford hospitals, mean neutrophil counts on diagnosis increased from 2003, peaked in 2006-2007, and then declined; 28-day mortality increased from early 2006, peaked in late 2006-2007, and then declined. Molecular typing confirmed these changes were likely due to the ingress of the globally distributed severe C. difficile strain, ST1. We assessed the generalizability of ISR-based severity monitoring in three ways. First, we assessed and found strong (pConclusionsAutomated electronic systems providing early warning of the changing severity of infectious conditions can be established using routinely collected laboratory hospital data. In the settings studied here these systems have higher performance than those monitoring mortality, at least in C. difficile infection. Such systems could have wider applicability for monitoring infections presenting in hospital.