The Predictive Value of Systemic Immune Inflammation Index in Patients Hospitalized in the Intensive Care Unit Yoğun Bakım Ünitesinde Yatan Hastalarda Sistemik İmmün Enflamasyon İndeksinin Prediktif Değeri

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Yılmaz H., Kazezoğlu C., GEDİKBAŞI A.

Medical Journal of Bakirkoy, vol.18, no.3, pp.364-369, 2022 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 18 Issue: 3
  • Publication Date: 2022
  • Doi Number: 10.4274/bmj.galenos.2022.2022.9-3
  • Journal Name: Medical Journal of Bakirkoy
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, CINAHL, EMBASE
  • Page Numbers: pp.364-369
  • Keywords: intensive care, predictivity, Systemic immune inflammation index
  • Istanbul University Affiliated: Yes


© Copyright 2022 by Medical Journal of Bakırköy published by Galenos Yayınevi.Objective: The systemic immune-inflammation index (SII), predicated on peripheral platelet, neutrophil, and lymphocyte counts, has been shown to be an effective predictive tool in different illnesses. We examined the role of the baseline SII in predicting short-term outcomes in patients hospitalized in the intensive care unit (ICU). Methods: The data of patients followed in the ICU between January 01, 2019 and December 31, 2019, were included in the study. Demographic data, the length of stay in the ICU, additional diseases, Acute Physiology and Chronic Health Evaluation-II score, presence of comorbidity and mortality, and complete blood count test results were recorded from electronic files. The SII was calculated as platelet × neutrophil/lymphocyte counts. The predictive value of SII on the clinical outcomes (length of stay, and 30-day mortality) were investigated retrospectively. Results: Based on the inclusion and exclusion criteria, 201 patients (104 female and 97 male) were selected to be included. The median age [interquartile range (IQR): 61-82] was 73. The median length of stay in the hospital was 19 days (IQR: 8-32). Fifty-nine (n=59) patients (29.3%) died, leaving 142 patients (70.64%) who were discharged alive. Non-survivors had significantly higher SII values, (median; 1,566; IQR: 812-3,455 vs. 1,019; IQR 599-1,771, p=0.037) compared to survivors. The hazard ratio (95% confidence interval) for the high-SII group compared with the low-SII group for 30-day all-cause mortality was 2.61 (1.33-4.79), and 1.23 (0.71-2.61) respectively. Conclusion: In ICU patients, a high SII was linked to higher mortality. Consequently, SII is a predictive biomarker of patients that may be valuable. Additional research should be conducted to assess our findings using prospective trials with longer follow-ups.