The relationship between systemic inflammation index, systemic immune-inflammatory index, and inflammatory prognostic index and 90-day outcomes in acute ischemic stroke patients treated with intravenous thrombolysis.

BACKGROUND AND PURPOSE: To explore the association of systemic inflammatory index (SIRI), systemic immune-inflammatory index (SII) and inflammatory prognosis index (IPI) with 90d outcomes in patients with acute ischemic stroke (AIS) after intravenous thrombolysis. METHODS: The patients who underwent intravenous thrombolysis were enrolled in the present study from September 2019 to December 2022. According to the relevant blood indexes obtained in 24 h after admission, the corresponding values of SIRI, SII and IPI were calculated. The correlation among SIRI, SII, IPI, and admission NIHSS scores was examined by Spearman correlation analysis. ROC curve analysis was conducted to determine the optimal cut-off value of SIRI, SII, IPI, and their corresponding sensitivity and specificity to evaluate their predictive value on admission for poor prognosis. To investigate whether high SIRI, SII, and IPI were independent predictors of poor outcomes within 90 days, variables with P-value < 0.05 during univariate analysis were included in multivariate analysis. RESULTS: Compared with the good outcome group, the poor outcome group had higher SIRI, IPI, and SII. Spearman correlation analysis showed that the SIRI, IPI, and SII levels significantly correlated with the admission NIHSS score (r = 0.338, 0.356, 0.427, respectively; Ps < 0.001). Univariate analysis and Multivariate logistic regression analysis revealed high SIRI, SII, and IPI values as independent risk factors for poor 90-day prognosis (OR = 1.09, 1.003 and 7.109, respectively). CONCLUSIONS: High SIRI, IPI, and SII values are correlated with poor 90d outcomes in AIS patients undergoing intravenous thrombolysis.

Predictive value of inflammatory prognostic index for contrast-induced nephropathy in patients undergoing coronary angiography and/or percutaneous coronary intervention.

The purpose of this study was to investigate the relationship between Inflammatory Prognostic Index (IPI) levels and Contrast-Induced Nephropathy (CIN) risk and postoperative clinical outcomes in patients undergoing coronary angiography (CAG) and/or percutaneous coronary intervention (PCI). A total of 3,340 consecutive patients who underwent CAG and/or PCI between May 2017 and December 2022 were enrolled in this study. Based on their baseline IPI levels, patients were categorized into four groups. Clinical characteristics and postoperative outcomes were compared among these groups. In-hospital outcomes focused on CIN risk, repeated revascularization, major bleeding, and major adverse cardiovascular events (MACEs), while the long-term outcome examined the all-cause readmission rate. Quartile analysis found a significant link between IPI levels and CIN risk, notably in the highest quartile (P < 0.001). Even after adjusting for baseline factors, this association remained significant, with an adjusted Odds Ratio (aOR) of 2.33 (95%CI 1.50-3.64; P = 0.001). Notably, baseline IPI level emerged as an independent predictor of severe arrhythmia, with aOR of 0.50 (95%CI 0.35-0.69; P < 0.001), particularly driven by the highest quartile. Furthermore, a significant correlation between IPI and acute myocardial infarction was observed (P < 0.001), which remained significant post-adjustment. For patients undergoing CAG and/or PCI, baseline IPI levels can independently predict clinical prognosis. As a comprehensive inflammation indicator, IPI effectively identifies high-risk patients post-procedure. This study underscores IPI's potential to assist medical professionals in making more precise clinical decisions, ultimately reducing mortality and readmission rates linked to cardiovascular disease (CVD).

The Inflammatory Prognostic Index Predicts Cancer-Specific Outcomes of Patients with Resected Non-Small Cell Lung Cancer

Background: Previous study developed a new inflammatory prognostic index (IPI) and found the prognostic value of IPI for all stage non-small cell lung cancer (NSCLC). To the best of our knowledge, however, no studies regarding IPI in patients with resected NSCLC are available. Methods: Three hundred forty-one NSCLC patients who underwent surgery at our institution were included. The IPI was calculated as C-reactive protein × neutrophil-to-lymphocyte ratio (NLR)/serum albumin. The optimal cut-off value was calculated by the Cutoff Finder. Univariate and multivariate analyses were calculated by the Cox proportional hazards regression model. Results: The optimal cut-off value was 5.237 for IPI. The IPI was associated with age, gender, smoking status, histology, pT status and serum CYFRA21-1 level, but not pStage, pN status and serum carcinoembryonic antigen level. The 5-year cancer-specific survival of patients with low IPI was significantly better than that with high IPI (84.8% vs. 57.9%, p< 0.001). Furthermore, low IPI was significantly associated with favorable cancer-specific survival in univariate (HR =0.326, 95% CI =0.212-0.494; p<0.001) and multivariate (HR =0.438, 95% CI =0.276-0.690; p=0.001) analyses. Conclusion: This is the first study to demonstrate that IPI might serve as an efficient prognostic indicator in resected NSCLC.