Using a longitudinal model to estimate the effect of methicillin-resistant staphylococcus aureus infection on length of stay in an intensive care unit

Adrian G. Barnett, Rahul Batra, Nicholas Graves, Jonathan Edgeworth, Julie Robotham, Ben Cooper

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

Health-care-associated methicillin-resistant Staphylococcus aureus (MRSA) infection may cause increased hospital stay, or sometimes death. Quantifying this effect is complicated because the exposure is time dependent: infection may prolong hospital stay, while longer stays increase infection risk. In this paper, the authors overcome these problems by using a multinomial longitudinal model to estimate the daily probability of death and discharge. They then extend the basic model to estimate how the effect of MRSA infection varies over time and to quantify number of excess days in the intensive care unit due to infection. They found that infection decreased the relative risk of discharge (relative risk ratio=0.68, 95% credible interval: 0.54, 0.82). Infection on the first day of admission resulted in a mean extra stay of 0.3 days (95% credible interval: 0.1, 0.5) for a patient with an Acute Physiology and Chronic Health Evaluation II score of 10 and 1.2 days (95% credible interval: 0.5, 2.0) for a patient with a score of 30. The decrease in the relative risk of discharge remained fairly constant with day of MRSA infection but was slightly stronger closer to the start of infection. Results confirm the importance of MRSA infection in increasing stay in an intensive care unit but suggest that previous work may have systematically overestimated the effect size.

Original languageEnglish
Pages (from-to)1186-1194
Number of pages9
JournalAmerican Journal of Epidemiology
Volume170
Issue number9
DOIs
Publication statusPublished - 2009

Keywords

  • Intensive care
  • Longitudinal studies
  • Risk factors
  • Survival analysis
  • Time

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