• Leming Tan, Cheng Yang, Xukai Yang, Yangmin Wang, Gaoping Cai, Zhigang Cao, Chuang Huang, and Dongbo Xu.
• Gansu University of Chinese Medicine, Lanzhou 730000, China.
• Nan Fang Yi Ke Da Xue Xue Bao. 2019 Jan 30; 39 (1): 93-99.

ObjectiveTo analyze the association of the clinical inflammatory indices with the severity of urinary sepsis.MethodsWe reviewed the clinical data of 70 patients with urinary sepsis treated in our hospital between January, 2013 and April, 2018. All the patients were diagnosed in line with the Guidelines for Diagnosis and Treatment of Urological Diseases in China (2014 edition), including 22 patients with sepsis, 12 with hypotension and severe sepsis, 17 with septic shock, and 19 with critical septic shock. White blood cell count (WBC), neutrophil percentage (N%), platelets (PLT), fibrinogen (FIB), Ddimer, interleukin-6 (IL-6), procalcitonin (PCT) and C-reactive protein (CRP) were examined in all the cases and compared among the 4 groups. The correlations of these inflammatory markers with the severity of sepsis were analyzed using logistic regression analysis.ResultsThe 4 groups of patients showed significant differences in N%, PLT, D-dimer, and PCT (P < 0.05) but not in CRP (P>0.05). Kruskal-Wallis Pairwise comparisons showed that the N% and PCT in patients with sepsis differed significantly from those in the other 3 groups; platelets in patients with sepsis differed significantly from those in patients with septic shock and critical septic shock; D-dimer differed significantly between patients with sepsis and those with septic shock. Among the 4 groups, the median levels of PLT decreased and PCT and N% increased with the worsening of sepsis. Logistic regression analysis indicated that PCT (r=0.186, P=0.000), N% (r=0.047, P=0.035) and PLT (r=-0.012, P=0.003) were significantly correlated with the severity of sepsis in these patients.ConclusionsPCT, PLT and N% are all significantly correlated with the severity of sepsis, and their combined detection can be informative for assessing the severity of sepsis to facilitate clinical decisions on treatment.

30 keywords...

hide…