The Clinical Value of Systemic Immune Inflammatory Index in Predicting the Prognosis of Patients with Bloodstream Infection
Shuheng Ou,1,* Hong Lu,2,* Rui Qu,3 Xiaolong Cui,3 Zhou Xiong,4 Fangfang Fan,5 Xiao Yu,5 Chaolu Hasi2 1Academy of Medical Sciences, Shanxi Medical University School, Taiyuan, People’s Republic of China; 2Department of Laboratory Medicine, First Hospital of Shanxi Medical Univ...
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Dove Medical Press
2025-07-01
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| author | Ou S Lu H Qu R Cui X Xiong Z Fan F Yu X Hasi C |
| author_facet | Ou S Lu H Qu R Cui X Xiong Z Fan F Yu X Hasi C |
| author_sort | Ou S |
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| description | Shuheng Ou,1,&ast; Hong Lu,2,&ast; Rui Qu,3 Xiaolong Cui,3 Zhou Xiong,4 Fangfang Fan,5 Xiao Yu,5 Chaolu Hasi2 1Academy of Medical Sciences, Shanxi Medical University School, Taiyuan, People’s Republic of China; 2Department of Laboratory Medicine, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 3First Clinical Medical College, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 4School of Public Health, Anhui Medical University, Hefei, People’s Republic of China; 5NHC Key Laboratory of pneumoconiosis, Shanxi Key Laboratory of respiratory diseases, Department of pulmonary and critical care medicine, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Chaolu Hasi, Email hasichaolu1967@163.comIntroduction: We analyzed the correlation between systemic immune inflammatory index (SII), systemic inflammatory response index (SIRI), systemic inflammatory index (AISI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR) and mortality in patients with bloodstream infection to determine their application potential in predicting the prognosis of bloodstream infection.Methods: We calculated SII, SIRI, AISI, NLR, PLR, and MLR in 469 patients with bloodstream infections. Logistic regression modeling, generalized additive modeling (GAM), and smoothed curve fitting were used to investigate the correlation of SII and other inflammatory markers with mortality in patients with bloodstream infections. Area under the curve (AUC) of ROC was used to assess the predictive effect of SII and other inflammatory markers.Results: Levels of SII, SIRI, AISI, NLR, PLR, and MLR were significantly higher in the mortality group of this study (P < 0.05). There were significant differences in gender, age, diabetes, cardiovascular disease, respiratory disease, NEUT and LUMPH between the survival group and the death group (p < 0.05). Smooth curve fitting and GAM showed that SII and NLR had a non-linear relationship with death. After adjustment, the breakpoints (K) were 1711 and 7.22, respectively (P < 0.05), and there was a positive correlation on both sides of the breakpoint. The comparison of AUC values showed that SII and NLR had higher accuracy in predicting the risk of death in patients with bloodstream infection.Conclusion: Studies demonstrates that SII and NLR are more predictive of mortality risk in patients with bloodstream infections. Patients with diabetes, cardiovascular disease, or respiratory disease should be monitored regularly for SII and NLR indicators to reduce the risk of death.Keywords: bloodstream infection, systemic immune inflammatory index, prognosis, smooth curve fitting, neutrophil-to-lymphocyte ratio |
| format | Article |
| id | doaj-art-b4f396c1fc7e464b9cd3e9cc6f7e66a8 |
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| language | English |
| publishDate | 2025-07-01 |
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| series | Journal of Inflammation Research |
| spelling | doaj-art-b4f396c1fc7e464b9cd3e9cc6f7e66a82025-07-31T17:30:48ZengDove Medical PressJournal of Inflammation Research1178-70312025-07-01Volume 18Issue 11018110192105305The Clinical Value of Systemic Immune Inflammatory Index in Predicting the Prognosis of Patients with Bloodstream InfectionOu S0Lu HQu R1Cui X2Xiong ZFan F3Yu X4Hasi C5Shanxi Medical UniversityShanxi Medical UniversityFirst Clinical Medical CollegeShanxi Medical UniversityShanxi Medical UniversityFirst Hospital of Shanxi Medical UniversityShuheng Ou,1,&ast; Hong Lu,2,&ast; Rui Qu,3 Xiaolong Cui,3 Zhou Xiong,4 Fangfang Fan,5 Xiao Yu,5 Chaolu Hasi2 1Academy of Medical Sciences, Shanxi Medical University School, Taiyuan, People’s Republic of China; 2Department of Laboratory Medicine, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 3First Clinical Medical College, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 4School of Public Health, Anhui Medical University, Hefei, People’s Republic of China; 5NHC Key Laboratory of pneumoconiosis, Shanxi Key Laboratory of respiratory diseases, Department of pulmonary and critical care medicine, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Chaolu Hasi, Email hasichaolu1967@163.comIntroduction: We analyzed the correlation between systemic immune inflammatory index (SII), systemic inflammatory response index (SIRI), systemic inflammatory index (AISI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR) and mortality in patients with bloodstream infection to determine their application potential in predicting the prognosis of bloodstream infection.Methods: We calculated SII, SIRI, AISI, NLR, PLR, and MLR in 469 patients with bloodstream infections. Logistic regression modeling, generalized additive modeling (GAM), and smoothed curve fitting were used to investigate the correlation of SII and other inflammatory markers with mortality in patients with bloodstream infections. Area under the curve (AUC) of ROC was used to assess the predictive effect of SII and other inflammatory markers.Results: Levels of SII, SIRI, AISI, NLR, PLR, and MLR were significantly higher in the mortality group of this study (P < 0.05). There were significant differences in gender, age, diabetes, cardiovascular disease, respiratory disease, NEUT and LUMPH between the survival group and the death group (p < 0.05). Smooth curve fitting and GAM showed that SII and NLR had a non-linear relationship with death. After adjustment, the breakpoints (K) were 1711 and 7.22, respectively (P < 0.05), and there was a positive correlation on both sides of the breakpoint. The comparison of AUC values showed that SII and NLR had higher accuracy in predicting the risk of death in patients with bloodstream infection.Conclusion: Studies demonstrates that SII and NLR are more predictive of mortality risk in patients with bloodstream infections. Patients with diabetes, cardiovascular disease, or respiratory disease should be monitored regularly for SII and NLR indicators to reduce the risk of death.Keywords: bloodstream infection, systemic immune inflammatory index, prognosis, smooth curve fitting, neutrophil-to-lymphocyte ratiohttps://www.dovepress.com/the-clinical-value-of-systemic-immune-inflammatory-index-in-predicting-peer-reviewed-fulltext-article-JIRBloodstream infectionsystemic immune inflammatory indexprognosisSmooth curve fittingneutrophil-to-lymphocyte ratio |
| spellingShingle | Ou S Lu H Qu R Cui X Xiong Z Fan F Yu X Hasi C The Clinical Value of Systemic Immune Inflammatory Index in Predicting the Prognosis of Patients with Bloodstream Infection Journal of Inflammation Research Bloodstream infection systemic immune inflammatory index prognosis Smooth curve fitting neutrophil-to-lymphocyte ratio |
| title | The Clinical Value of Systemic Immune Inflammatory Index in Predicting the Prognosis of Patients with Bloodstream Infection |
| title_full | The Clinical Value of Systemic Immune Inflammatory Index in Predicting the Prognosis of Patients with Bloodstream Infection |
| title_fullStr | The Clinical Value of Systemic Immune Inflammatory Index in Predicting the Prognosis of Patients with Bloodstream Infection |
| title_full_unstemmed | The Clinical Value of Systemic Immune Inflammatory Index in Predicting the Prognosis of Patients with Bloodstream Infection |
| title_short | The Clinical Value of Systemic Immune Inflammatory Index in Predicting the Prognosis of Patients with Bloodstream Infection |
| title_sort | clinical value of systemic immune inflammatory index in predicting the prognosis of patients with bloodstream infection |
| topic | Bloodstream infection systemic immune inflammatory index prognosis Smooth curve fitting neutrophil-to-lymphocyte ratio |
| url | https://www.dovepress.com/the-clinical-value-of-systemic-immune-inflammatory-index-in-predicting-peer-reviewed-fulltext-article-JIR |
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