OBJECTIVE: To compare the early and late predictive values of critical illness score (CIS) and procalcitonin (PCT) in septic patients with blood stream infection (BSI) induced by intra-abdominal infection (IAI), and to identify the value of PCT in etiological diagnosis. METHODS: The clinical data of patients with at least one positive blood culture within 24 hours admission to the emergency department of China-Japan Friendship Hospital from January 2014 to December 2019 and with final diagnosis of IAI induced sepsis were enrolled. Sequential organ failure assessment (SOFA), mortality in emergency department sepsis (MEDS), Logistic organ dysfunction system (LODS), and acute physiology and chronic health evaluation II (APACHE II) scores were calculated based on the parameters on the day of admission. Differences in various indicators among different Gram-stained bacterial infections and among patients with different prognosis at 28 days or 60 days were compared. Receiver operator characteristic curve (ROC curve) was used to analyze the value of PCT in differential etiological diagnosis of IAI induced sepsis caused by single bacterial infection, and the predictive value of CIS and PCT on 28-day and 60-day death of septic patients with BSI induced by IAI. RESULTS: bacterial infection could reach 81.8%. (2) In the prediction of 28-day and 60-day mortality for septic patients with BSI induced by IAI, the APACHE II score achieved the highest AUC [28 days: 0.791 (95%CI was 0.680-0.902), 60 days: 0.748 (95%CI was 0.645-0.851)]. APACHE II score higher than 14.5 could help to predict 28-day and 60-day mortality for IAI patients with negative predictive values of 94.9% and 88.5%. However, the predictive value of PCT for septic patients with BSI induced by IAI was relatively lower [28-day AUC: 0.610 (95%CI was 0.495-0.725), 60-day AUC: 0.558 (95%CI was 0.450-0.667)]. CONCLUSIONS: PCT is more reliable in the identification of pathogen type among IAI induced sepsis with BSI, while APACHE II score may perform better in predicting early and late mortality.
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Yan et al. (2021) studied this question.
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