Patterns of C-reactive protein ratio predicts outcomes in healthcare-associated pneumonia in critically ill patients with cancer

J Crit Care. 2017 Dec:42:231-237. doi: 10.1016/j.jcrc.2017.07.021. Epub 2017 Jul 11.

Abstract

Purpose: Describe the patterns of C-reactive protein relative changes in response to antibiotic therapy in critically ill cancer patients with healthcare-associated pneumonia (HCAP) and its ability to predict outcome.

Methods: Secondary analysis of a prospective cohort of critically ill cancer patients with HCAP. CRP was sampled every other day from D0 to D6 of antibiotic therapy. Patients were classified according to an individual pattern of CRP-ratio response: fast - CRP at D4 of therapy was <0.4 of D0 CRP; slow - a continuous but slow decrease of CRP; non - CRP remained ≥0.8 of D0 CRP; biphasic - initial CRP decrease to levels <0.8 of the D0 CRP followed by a secondary rise ≥0.8.

Results: 129 patients were included and septic shock was present in 74% and invasive mechanical ventilation was used in 73%. Intensive care unit (ICU) and hospital mortality rates were 47% and 64%, respectively. By D4, both CRP and CRP-ratio of survivors were significantly lower than in nonsurvivors (p<0.001 and p=0.004, respectively). Both time-dependent analysis of CRP-ratio of the four previously defined patterns (p<0.001) as ICU mortality were consistently different [fast 12.9%, slow 43.2%, biphasic 66.7% and non 71.8% (p<0.001)].

Conclusion: CRP-ratio was useful in the early prediction of poor outcomes in cancer patients with HCAP.

Keywords: C-reactive protein; Cancer; Healthcare-associated pneumonia; Intensive care unit; Outcomes.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Aged
  • Anti-Bacterial Agents / therapeutic use
  • Biomarkers / metabolism
  • C-Reactive Protein / metabolism*
  • Critical Care
  • Critical Illness
  • Cross Infection / blood*
  • Cross Infection / complications
  • Cross Infection / prevention & control
  • Female
  • Hospital Mortality
  • Humans
  • Intensive Care Units
  • Middle Aged
  • Neoplasms / blood*
  • Neoplasms / complications
  • Pneumonia, Bacterial / blood*
  • Pneumonia, Bacterial / complications
  • Pneumonia, Bacterial / prevention & control
  • Prospective Studies
  • Respiration, Artificial / statistics & numerical data
  • Shock, Septic / blood
  • Shock, Septic / mortality

Substances

  • Anti-Bacterial Agents
  • Biomarkers
  • C-Reactive Protein