Association and Comparative Analysis of Four Inflammatory Indices With 90‐Day Outcomes in Acute Ischemic Stroke Patients Treated With Intravenous Thrombolysis

OBJECTIVE: To investigate and compare the associations of the systemic immune-inflammation index (SII), the systemic inflammation response index (SIRI), the platelet-to-lymphocyte ratio (PLR), and the neutrophil-to-lymphocyte ratio (NLR) with 90-day functional outcomes in AIS patients treated with IV rt-PA., with particular attention to their nonlinear relationships and threshold effects. METHODS: Note that 503 AIS patients who received intravenous thrombolysis with alteplase (rt-PA) were consecutively enrolled, and clinical information along with laboratory data were collected. ROC curve analysis was conducted to determine the optimal cut-off value of SII, PLR, NLR, and SIRI. Multivariate analysis was included for variables with p < 0.05 in univariate analysis. The restricted cubic spline (RCS) curve illustrates the nonlinear relationship between SII, PLR, NLR, SIRI, and the 90-day unfavorable outcomes. RESULTS: A total of 503 patients were included. According to multivariate logistic regression analysis, admission NIHSS scores (OR = 1.156, 95% CI: 1.049-1.274), albumin (OR = 0.875, 95% CI: 0.774-0.989), and SII (OR = 1.004, 95% CI: 1.001-1.006) were independent indicators of unfavorable outcomes at 90 day after intravenous thrombolysis (p < 0.05). The ROC analysis showed that an SII cutoff value of 1268.00 could predict poor 90-day outcomes with a sensitivity of 61.58% and a specificity of 92.02%. The AUC was 0.764 (95% CI 0.677-0.852, p < 0.05). Pairwise comparison using the DeLong test revealed that SII and NLR demonstrated comparable discriminative ability (p = 0.392), and both significantly outperformed PLR (SII vs. PLR: p = 0.001; NLR vs. PLR: p = 0.006). No significant difference was detected between SII and SIRI (p = 0.709) or between NLR and SIRI (p = 0.211). SII showed the most consistent independent association in multivariable analysis (OR = 1.004, 95% CI: 1.001-1.006). The RCS curve illustrates the nonlinear relationship between SII, PLR, NLR, SIRI, and the 90-day unfavorable outcomes. CONCLUSIONS: Among the inflammatory indices studied, SII showed the strongest association with 90-day unfavorable outcomes in this cohort. Our findings suggest a potential role of systemic inflammation in patient prognosis post-thrombolysis, warranting further prospective validation.

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Journal
Brain and Behavior
Published
2026-05-01
DOI
https://doi.org/10.1002/brb3.71433
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
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article

Association and Comparative Analysis of Four Inflammatory Indices With 90‐Day Outcomes in Acute Ischemic Stroke Patients Treated With Intravenous Thrombolysis

Juluo Chen, Xinping Bai, Zhuo Cai, Hao Cheng et al.
Brain and Behavior
Inflammatory Biomarkers in Disease Prognosis
article

Association and Comparative Analysis of Four Inflammatory Indices With 90‐Day Outcomes in Acute Ischemic Stroke Patients Treated With Intravenous Thrombolysis

Juluo Chen, Xinping Bai, Zhuo Cai, Hao Cheng, Xiangyu Wu
article en

Abstract

OBJECTIVE: To investigate and compare the associations of the systemic immune-inflammation index (SII), the systemic inflammation response index (SIRI), the platelet-to-lymphocyte ratio (PLR), and the neutrophil-to-lymphocyte ratio (NLR) with 90-day functional outcomes in AIS patients treated with IV rt-PA., with particular attention to their nonlinear relationships and threshold effects. METHODS: Note that 503 AIS patients who received intravenous thrombolysis with alteplase (rt-PA) were consecutively enrolled, and clinical information along with laboratory data were collected. ROC curve analysis was conducted to determine the optimal cut-off value of SII, PLR, NLR, and SIRI. Multivariate analysis was included for variables with p < 0.05 in univariate analysis. The restricted cubic spline (RCS) curve illustrates the nonlinear relationship between SII, PLR, NLR, SIRI, and the 90-day unfavorable outcomes. RESULTS: A total of 503 patients were included. According to multivariate logistic regression analysis, admission NIHSS scores (OR = 1.156, 95% CI: 1.049-1.274), albumin (OR = 0.875, 95% CI: 0.774-0.989), and SII (OR = 1.004, 95% CI: 1.001-1.006) were independent indicators of unfavorable outcomes at 90 day after intravenous thrombolysis (p < 0.05). The ROC analysis showed that an SII cutoff value of 1268.00 could predict poor 90-day outcomes with a sensitivity of 61.58% and a specificity of 92.02%. The AUC was 0.764 (95% CI 0.677-0.852, p < 0.05). Pairwise comparison using the DeLong test revealed that SII and NLR demonstrated comparable discriminative ability (p = 0.392), and both significantly outperformed PLR (SII vs. PLR: p = 0.001; NLR vs. PLR: p = 0.006). No significant difference was detected between SII and SIRI (p = 0.709) or between NLR and SIRI (p = 0.211). SII showed the most consistent independent association in multivariable analysis (OR = 1.004, 95% CI: 1.001-1.006). The RCS curve illustrates the nonlinear relationship between SII, PLR, NLR, SIRI, and the 90-day unfavorable outcomes. CONCLUSIONS: Among the inflammatory indices studied, SII showed the strongest association with 90-day unfavorable outcomes in this cohort. Our findings suggest a potential role of systemic inflammation in patient prognosis post-thrombolysis, warranting further prospective validation.

Brain and BehaviorVol. 16(5)
Anhui Medical University (CN), Fuyang City People's Hospital (CN), Fuyang Second People's Hospital (CN)
Reduced inequalities
Openalex Percentile: Top 9%
Inflammatory Biomarkers in Disease Prognosis
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