Early Prediction for Persistent Inflammation-Immunosuppression Catabolism Syndrome in Surgical Sepsis Patients

Objective: To find the predictors for persistent inflammation-immunosuppression catabolism syndrome in ICU surgical septic patients. Design: Single center observation study. Participants: Inclusion: 1) patients >= 18, 2) admitted to the ICU after major surgery or transferred to the ICU within 48 hours after the diagnosis of sepsis following the definition of sepsis-3.0. Exclusion: 1) pregnant or lactating patients, 2) patients with severe immune deficiency, 3) patients that expired within 14 days after the diagnosis of sepsis. Results: A total of 169 participants were included. After propensity score matching, PICS patients were found to have higher intensive care unit (ICU) mortality (32.4% vs 12.4%, p=0.046), 90-day mortality (32.4% vs 9.1%, p=0.006), and ICU-acquired infection rate (44.1% vs 12.7%, p<0.001), and longer ICU stays (29 vs 11 days, p<0.001) comparing to non-PICS patients. In multivariate logistic regression, it demonstrated that the SOFA score, Charlson co-morbidity index (CCI), albumin level on the ICU day 1, and lymphocyte count on the ICU day 3 were statistically significant. Sensitivity analysis was conducted with the receiver operating characteristic curve for a combination of the four parameters and the area under the curve was 0.838 (95% confidence interval 0.774-0.901). Conclusion: The chronic disease condition and decreased immunity in the early course of sepsis were crucial for PICS. The combination of CCI, SOFA score, albumin level on ICU Day 1 and lymphocyte count on ICU Day 3 can be early predictor for PICS.