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Risk-adjusted monitoring of blood-stream infection in paediatric intensive care: a data linkage study
Katie Harron1, Angie Wade, Berit Muller-Pebody
1MRC Centre for Epidemiology of Child Health, Institute of Child Health, University College London, 30 Guilford Street, London WC1 N 1EH, UK. k.harron@ich.ucl.ac.uk
Insights
National monitoring of bloodstream infection (BSI) rates in pediatric intensive care units (PICUs) requires risk-adjustment for accurate comparisons. Linking audit data with laboratory records enables feasible, national risk-adjusted BSI surveillance.
Area of Science:
- Infection control and hospital epidemiology
- Pediatric critical care medicine
- Public health surveillance
Background:
- National monitoring of infection control quality in pediatric intensive care units (PICUs) necessitates risk-adjusted rate comparisons.
- Evaluating the impact of risk-adjustment and outcome definition on bloodstream infection (BSI) comparisons is crucial for developing effective national monitoring systems.
Purpose of the Study:
- To assess the effect of risk-adjustment and outcome definition on bloodstream infection (BSI) rate comparisons in pediatric intensive care units (PICUs).
- To determine the feasibility of linking national audit risk-factor data with laboratory BSI records for national monitoring.
Main Methods:
- Linked admission data from two children's hospitals (2003-2010) with laboratory BSI records using multiple identifiers.
- Calculated trends of PICU-acquired BSI, defined as infections occurring from day 2 post-admission to 2 days post-discharge.
- Compared rates of all PICU-acquired BSI versus clinically significant BSI in one PICU.
Main Results:
- 1,428 of 20,924 admissions (6.8%) linked to 1,761 PICU-acquired BSI episodes.
- Crude BSI rate ratio between PICUs was 1.15, increasing to 1.26 after risk-adjustment.
- PICU-acquired BSI rates were 13.44/1000 bed-days (PICU 1) and 18.05/1000 bed-days (PICU 2); 41% of PICU 2 BSIs were clinically significant.
- Annual BSI rates decreased by 10% (skin organisms) and 8% (non-skin organisms) from 2003-2010.
Conclusions:
- Risk-adjustment and standardized outcome measures are essential for equitable BSI rate comparisons between PICUs.
- Linking risk-factor data with BSI surveillance data is feasible and supports national risk-adjusted monitoring.
- This approach can enhance the quality of infection control monitoring in PICUs nationwide.
Purpose:
National monitoring of variation in the quality of infection control in paediatric intensive care units (PICUs) requires comparisons of risk-adjusted rates. To inform the development of a national monitoring system, we evaluated the effects of risk-adjustment and outcome definition on comparisons of blood-stream infection (BSI) rates in PICU, using linkage of risk-factor data captured by national audit (PICANet) with laboratory records of BSI.
Methods:
Admission data for two children's hospitals 2003-2010 were extracted from PICANet and linked using multiple identifiers with laboratory BSI records. We calculated trends of PICU-acquired BSI, defined as BSI occurring between at least 2 days after admission until up to 2 days following discharge. In one PICU, we compared rates of all PICU-acquired BSI with clinically significant PICU-acquired BSI submitted to the national surveillance system.
Results:
Of 20,924 admissions, 1,428 (6.8 %) were linked to 1,761 PICU-acquired BSI episodes. The crude incidence rate-ratio for PICU-acquired BSI between PICUs was 1.15 [95 % confidence interval (CI) 1.05-1.26] but increased to 1.26 (1.14-1.39) after risk-adjustment. Rates of PICU-acquired BSI were 13.44 (95 % CI 12.60-14.28) per 1,000 bed-days at PICU 1 and 18.05 (95 % CI 16.80-19.32) at PICU 2. Of PICU-acquired BSI at PICU 2, 41 % was classified as clinically significant. Rates of PICU-acquired BSI decreased by 10 % per year between 2003 and 2010 for skin organisms and 8 % for non-skin organisms.
Conclusions:
Risk-adjustment and standardisation of outcome measures are essential for fair comparisons of BSI rates between PICUs. Linkage of risk-factor data and BSI surveillance is feasible and could allow national risk-adjusted monitoring.
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