title: A new model for outcome prediction in intra-abdominal sepsis by the linear discriminant function analysis of IL-6 and IL-10 at different heart rates.
abstract: BACKGROUND
  The inflammatory response plays an important role in the pathogenesis of sepsis, and the prognosis is known to be affected by the pro-inflammatory and anti-inflammatory cytokines. Therefore, a simple and reliable outcome prediction function that derived from IL-6 and IL-10 was hypothesized.
  
  
  METHODS
  We used 27 Sprague-Dawley rats, weighing 250 to 300 g, underwent cecal ligation and puncture (CLP) procedures and femoral arterial catheterization. When the heart rates reached 1.15, 1.25, and 1.35 times that of the baseline heart rate, blood sampling was done for IL-6 and IL-10. The prognosis was followed up for 3 days after CLP, and all rats were then divided into survival or non-survival groups. Finally, the relationships among survival condition, heart rate, IL-6, and IL-10 were analyzed by two-way ANOVA and multiple comparison. A linear discriminant function for the prognosis of sepsis was developed by IL-6 and IL-10 at different heart rates.
  
  
  RESULTS
  IL-6 elevated continuously with the increment of the heart rate in the non-survival group, but in the survival group, the IL-6 elevation started to fall when the heart rate reached 1.25 times; a similar trend was found in the change of IL-10. The prediction rate was 68.33% when the heart rate reached 1.15 times, and increased to 93.33% and 95.45% when heart rates reached 1.25 and 1.35 times, respectively.
  
  
  CONCLUSIONS
  This linear discriminant function developed on the basis of IL-6 and IL-10 might be adopted as a simple and reliable indicator and further become a critical tool for the outcome prediction of sepsis.
authors.affiliation: Institute of Chinese Medical Science, China Medical University, Taichung, Taiwan, Republic of China.
authors.forename: Chi Hsien
authors.initials: CH
authors.lastname: Wang
authors.forename: Mei Jin
authors.initials: MJ
authors.lastname: Gee
authors.forename: Chi
authors.initials: C
authors.lastname: Yang
authors.forename: Yi Chang
authors.initials: YC
authors.lastname: Su
mesh_terms: D000005:Abdomen; D000818:Animals; D015415:Biomarkers / Q000097:blood; D002432:Cecum; D016002:Discriminant Analysis; D004195:Disease Models, Animal; D006339:Heart Rate / Q000276:immunology / Q000502:physiology*; D016753:Interleukin-10 / Q000097:blood*; D015850:Interleukin-6 / Q000097:blood*; D008297:Male; D011237:Predictive Value of Tests; D051381:Rats; D017207:Rats, Sprague-Dawley; D018805:Sepsis / Q000097:blood / Q000276:immunology* / Q000628:therapy*; D013534:Survival
chemical_list: D015415:Biomarkers; D015850:Interleukin-6; D016753:Interleukin-10