C-reactive protein level measurement improves mortality prediction when added to the spontaneous intracerebral

Mario Di Napoli1, Daniel Agustin Godoy, Veronica Campi

  • 1Neurological Service, San Camillo de’ Lellis General Hospital, Rieti, Italy. mariodinapoli@katamail.com

Stroke
|April 9, 2011
PubMed

Insights

Elevated white blood cell count, C-reactive protein, and blood glucose levels predict increased mortality in spontaneous intracerebral hemorrhage (sICH) patients. C-reactive protein is the strongest independent predictor of death in sICH.

Area of Science:

  • Neurology
  • Critical Care Medicine
  • Biomarkers

Background:

  • Spontaneous intracerebral hemorrhage (sICH) is a severe neurological emergency.
  • Hyperglycemia and inflammation are implicated in sICH-induced brain injury.
  • Predictors of clinical outcome in sICH patients remain unclear.

Purpose of the Study:

  • To investigate the prognostic value of white blood cell count (WBC), C-reactive protein (CRP), and blood glucose (BG) in sICH.
  • To determine if these markers predict 30-day mortality and functional outcome in sICH patients.

Main Methods:

  • Prospective evaluation of 210 sICH patients in intensive care units.
  • Exclusion of patients with pre-existing inflammatory conditions.
  • Measurement of WBC, CRP, and BG on admission; calculation of ICH scores.
  • Assessment of 30-day mortality and Glasgow Outcome Scale for functional outcome.

Main Results:

  • Higher WBC, CRP, and BG levels were associated with increased 30-day mortality on univariate analysis.
  • Only CRP remained a significant independent predictor of mortality after adjusting for confounders.
  • CRP improved mortality prediction when added to the established ICH score.
  • No significant association was found between these markers and 30-day functional outcome.

Conclusions:

  • Elevated WBC, CRP, and BG are associated with higher mortality in sICH.
  • CRP is a key independent prognostic marker for mortality in sICH patients.
  • These inflammatory and metabolic markers may not predict long-term functional recovery.
Abstract