Abstract：【Objective】 To investigate the predictive value of procalcitonin (PCT) and interleukin-6 (IL-6) for the progression to sepsis in emergency patients with infection. 【Methods】 A total of 160 emergency patients with infection who progressed to sepsis in our hospital were included as the observation group. Meanwhile, 160 emergency patients with infection who did not progress to sepsis during the same period were selected as the control group. General clinical data and levels of white blood cells (WBC), PCT, and IL-6 were compared between the two groups. Univariate and multivariate logistic regression analyses were performed to identify factors influencing the progression to sepsis. Receiver operating characteristic (ROC) curves were used to evaluate the predictive performance of each indicator and their combined detection. 【Results】 The levels of WBC, PCT, and IL-6 in the observation group were significantly higher than those in the control group (P<0.05). There were no statistically significant differences between the two groups in terms of sex, age, and distribution of infection sites (P>0.05). Multivariate logistic regression analysis showed that PCT and IL-6 were independent risk factors for progression to sepsis (P<0.05). ROC curve analysis demonstrated that the area under the curve (AUC) of PCT for predicting sepsis was 0.985, with a sensitivity of 96.3% and a specificity of 97.5%; the AUC of IL-6 was 0.979, with a sensitivity of 94.4% and a specificity of 96.9%. The combined detection of both PCT and IL-6 yielded an AUC of 0.987, with a sensitivity of 96.9% and a specificity of 97.5%. 【Conclusion】 PCT and IL-6 have high early predictive value for the progression to sepsis in emergency patients with infection. PCT demonstrates superior sensitivity and specificity. Combined detection of both PCT and IL-6 can further improve predictive accuracy.
王君君, 吴超, 孙明. PCT和IL-6联合检测对急性感染患者进展为脓毒症的预测价值[J]. 医学临床研究, 2026, 43(3): 368-370.
WANG Junjun, WU Chao, SUN Ming. Application of Combined Procalcitonin and Interleukin-6 in Predicting Sepsis among Emergency Patients with Infection. JOURNAL OF CLINICAL RESEARCH, 2026, 43(3): 368-370.
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2026, Vol. 43 
