Failure to reduce C-reactive protein levels more than 25% in the last 24 hours before intensive care unit discharge predicts higher in-hospital mortality: a cohort study

J Crit Care. 2012 Oct;27(5):525.e9-15. doi: 10.1016/j.jcrc.2011.10.013. Epub 2012 Jan 9.

Abstract

Purpose: To discharge a patient from the intensive care unit (ICU) is a complex decision-making process because in-hospital mortality after critical illness may be as high as up to 27%. Static C-reactive protein (CRP) values have been previously evaluated as a predictor of post-ICU mortality with conflicting results. Therefore, we evaluated the CRP ratio in the last 24 hours before ICU discharge as a predictor of in-hospital outcomes.

Methods: A retrospective cohort study was performed in 409 patients from a 6-bed ICU of a university hospital. Data were prospectively collected during a 4-year period. Only patients discharged alive from the ICU with at least 72 hours of ICU length of stay were evaluated.

Results: In-hospital mortality was 18.3% (75/409). Patients with reduction less than 25% in CRP concentrations at 24 hours as compared with 48 hours before ICU discharge had a worse prognosis, with increased mortality (23% vs 11%, P = .002) and post-ICU length of stay (26 [7-43] vs 11 [5-27] days, P = .036). Moreover, among hospital survivors (n = 334), patients with CRP reduction less than 25% were discharged later (hazard ratio, 0.750; 95% confidence interval, 0.602-0.935; P = .011).

Conclusions: In this large cohort of critically ill patients, failure to reduce CRP values more than 25% in the last 24 hours of ICU stay is a strong predictor of worse in-hospital outcomes.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • C-Reactive Protein / analysis*
  • Cohort Studies
  • Comorbidity
  • Critical Illness / mortality*
  • Female
  • Health Status Indicators
  • Hospital Mortality*
  • Hospitals, University
  • Humans
  • Intensive Care Units / statistics & numerical data*
  • Length of Stay
  • Male
  • Middle Aged
  • Patient Discharge / statistics & numerical data*
  • Retrospective Studies
  • Time Factors

Substances

  • C-Reactive Protein