Journal
HELIYON
Volume 9, Issue 9, Pages -Publisher
CELL PRESS
DOI: 10.1016/j.heliyon.2023.e19526
Keywords
Sepsis; Mortality; Systemic immune-inflammation index; Quick sequential organ failure assessment; Scoring system
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This study evaluated the prognostic ability of systemic immune-inflammation index (SII) combined with quick Sequential Organ Failure Assessment (qSOFA) criteria in predicting the 28-day mortality of sepsis. The results showed that the combination of SII and qSOFA provided an effective tool for predicting mortality in sepsis.
Objective: To evaluate the prognostic ability of systemic immune-inflammation index (SII) combine with quick Sequential Organ Failure Assessment (qSOFA) criteria in predicting the 28day mortality of sepsis.Methods: A retrospective cohort study was conducted, with the population comprised in whom sepsis was confirmed. Clinical and laboratory data recorded were analyzed. The score of Sequential Organ Failure Assessment (SOFA), SII, qSOFA were calculated. Multivariable regression, receiver operating characteristic (ROC) analysis and Kaplan-Meier method were used to identify and compared the predictors of prognosis among SOFA, qSOFA, and the combination of SII with qSOFA.Results: A total of 349 patients admitted from December 2020 and December 2022 were included in the cohort. 95 (27.2%) of whom had died by day 28. The SII, SOFA, and qSOFA scores were significant higher in the non-survivors than that of survivors (P < 0.05), and identified as independent predictors of sepsis mortality. The addition of SII to qSOFA shown an area under receiver operator characteristic (AUROC) of 0.840 (95% CI: 0.787-0.884), manifested an effective ability in predicting poor outcome than other scoring systems. The optimum cutoff for SII (>1.7668) and qSOFA (>1) represented a high risk level in 28-day mortality of sepsis, were performed and identified in Kaplan-Meier survival curves (log-rank test, HR: 6.942, 95% CI: 3.976-12.121; P < 0.0001).Conclusion: The SII in addition to qSOFA provided an effective prognostic tool for predicting mortality in sepsis.
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