BackgroundSepsis significantly impacts morbidity and mortality, particularly among older adults. Despite extensive research, early recognition and prognosis prediction of sepsis remain challenging. IL-8, a chemokine produced by inflammatory cells like monocytes and endothelial cells, has shown potential in predicting mortality in sepsis patients, though its role in elderly sepsis remains unexplored. ObjectivesThe present study aimed to explore the predictive ability of interleukin-8 (IL-8) for mortality risk in elderly septic patients. Methods220 elderly sepsis patients were included in the present study. Serum samples were obtained within 1 h of admission to assess serum IL-8, white blood cell (WBC), procalcitonin (PCT), C-reactive protein (CRP), and lactic acid (LAC) levels. The Sequential Organ Failure Score (SOFA) and Acute Physiological and Chronic Health Assessment II (APACHE II) were recorded. Logistic regression analysis was employed to identify independent predictors of mortality within 28 days for elderly patients diagnosed with sepsis. Further, the capacity of these factors to predict 28-day mortality within this patient cohort was evaluated. ResultsSOFA score, APACHE II score, LAC, and IL-8 were all significant independent predictors for 28-day mortality in elderly sepsis patients (P < 0.05). The AUC of the ROC curve for IL-8 was calculated to be 0.701, indicating a moderately predictive performance. In comparison, the AUC for LAC was marginally higher at 0.708. Nevertheless, the results of the statistical analysis revealed no significant difference in the predictive value between IL-8 and LAC. Moreover, the present findings indicate that the combined assessment of IL-8 and SOFA score demonstrated superior predictive value for mortality compared to using IL-8 alone. ConclusionsIL-8 LAC, APACHE II, and SOFA can be considered independent predictors factors for mortality of elderly sepsis patients. Utilizing the combination of IL-8 and SOFA demonstrates a heightened predictive capability compared to using any single index alone.