Serum prealbumin is a predictive biomarker for stroke-associated infection after an ischemic stroke

Int J Neurosci. 2017 Jul;127(7):601-605. doi: 10.1080/00207454.2016.1218874. Epub 2016 Aug 14.

Abstract

Background: Several prior studies have linked serum prealbumin (PA) as a predictor for perioperative infection. However, whether peripheral blood PA levels can be used as an indicator of stroke-associated infection (SAI) is still unclear. In this study, we attempt to find whether serum PA is a meaningful predictor in SAI after an ischemic stroke, so as to provide theoretical basis for clinical treatment.

Methods: Consecutive patients with acute ischemic stroke who were admitted to our hospital were enrolled and serum PA was collected. A prospective study was conducted to observe the predictive value of PA in the SAI incident in ischemic stroke patients.

Results: Of 104 patients, 29 (27.9%) developed an SAI after 7 d of follow-up. The stroke with SAI group had significantly lower PA levels than the stroke without SAI group ( p < 0.05). The optimal cutoff value for predicting SAI was PA ≤ 191 mg/L, with sensitivity and specificity of 58.62% and 81.33%, respectively. Kaplan-Meier survival analysis showed that stroke patients with low serum PA level (PA ≤ 191 mg/L) had a higher SAI rates (log-rank test, χ2 = 16.870, p < 0.001). Cox regression analysis showed that PA ≤ 191 mg/L (hazard ratio = 3.207; 95% CI, 1.430-7.190, p = 0.005) was an independent risk factor for SAI.

Conclusions: Early detection of serum PA during the acute phase of ischemic stroke may help us to identify at-risk SAI patients, and hence rapidly guide the intervention to prevent SAI.

Keywords: infection; prealbumin; prevention; risk assessment; stroke.

MeSH terms

  • Aged
  • Biomarkers / blood
  • Brain Ischemia / blood*
  • Brain Ischemia / complications
  • Female
  • Humans
  • Infections / blood*
  • Infections / etiology
  • Male
  • Middle Aged
  • Prealbumin / metabolism*
  • Prognosis
  • Prospective Studies
  • Sensitivity and Specificity
  • Stroke / blood*
  • Stroke / complications

Substances

  • Biomarkers
  • Prealbumin