scholarly journals The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

2021 ◽  
Vol Volume 16 ◽  
pp. 1997-2007
Author(s):  
Yihui Zhang ◽  
Zekun Xing ◽  
Kecheng Zhou ◽  
Songhe Jiang
Keyword(s):  
Systemic Inflammation ◽  
Stroke Patients ◽  
Inflammation Response ◽  
Response Index ◽  
Predictive Role

scholarly journals The Influence of Systemic Inflammation Response Index on Survival Outcomes of Limited-Stage Small-Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Ahmet Kucuk ◽  
Emine Elif Ozkan ◽  
Sukran Eskici Oztep ◽  
Huseyin Mertsoylu ◽  
Berrin Pehlivan ◽  
...  
Keyword(s):  
Systemic Inflammation ◽  
Concurrent Chemoradiotherapy ◽  
Cohort Analysis ◽  
Prognostic Significance ◽  
Small Cell ◽  
Survival Outcomes ◽  
Small Cell Lung ◽  
Inflammation Response ◽  
Response Index ◽  
Limited Stage

Background. Recent studies have indicated that the systemic inflammation response index (SIRI) can efficiently predict survival outcomes in various tumor types. Thusly, in absence of comparable investigations in limited-stage small-cell lung cancers (LS-SCLCs), we aimed to retrospectively evaluate the prognostic utility of SIRI in LS-SCLC patients treated with concurrent chemoradiotherapy (CRT). Patients and Methods. Present multi-institutional retrospective analysis incorporated LS-SCLC patients treated with CRT at three academic radiation oncology centers between January 2007 and December 2018. The SIRI was calculated by using the peripheral blood neutrophil (N), monocyte (M), and lymphocyte (L) counts acquired in the last ≤7 days before the commencement of the CRT: SIRI = N × M/L. Accessibility of pretreatment SIRI cutoff that may stratify the study population into two gatherings with distinctive overall survival (OS) results was evaluated by utilizing the receiver operating characteristic (ROC) curve analysis. Primary objective was the association between the SIRI values and the OS results. Results. Search for the availability of an ideal SIRI cutoff that may stratify the entire patients’ population into two particular groups with distinctive OS outcomes identified the 1.93 value (area under the curve (AUC): 72.9%; sensitivity: 74.6%; specificity: 70.1%): Group 1: SIRI <1.93 (N = 71) and Group 2: SIRI ≥1.93 (N = 110), respectively. At a median follow-up of 17.9 (95% CI: 13.2–22.6) months, 47 (26.0%) patients were still alive (47.9% for SIRI <1.93 versus 18.3% for SIRI ≥1.93; p < 0.001 ). Kaplan–Meier comparisons between the two SIRI groups showed that the SIRI <1.93 cohort had significantly longer median OS (40.5 versus 14.2 months; p < 0.001 ) than the SIRI ≥1.93 cohort. Similarly, the 3- (54% versus 12.6%) and 5-year (33% versus 9.9%) OS rates were also numerically superior in the SIRI <1.93 cohort. Results of the multivariate analyses uncovered that the prognostic significance of the SIRI on OS outcomes was independent of the other confounding variables. Conclusions. The results of this retrospective multi-institutional cohort analysis suggested that a pre-CRT SIRI was a strong and independent prognostic biomarker that reliably stratified LS-SCLC patients into two cohorts with significantly different OS outcomes.

scholarly journals A novel systemic inflammation response index (SIRI) for predicting the survival of patients with pancreatic cancer after chemotherapy

Cancer ◽  
2016 ◽  
Vol 122 (14) ◽  
pp. 2158-2167 ◽  
Author(s):  
Qi Qi ◽  
Liping Zhuang ◽  
Yehua Shen ◽  
Yawen Geng ◽  
Shulin Yu ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Systemic Inflammation ◽  
Inflammation Response ◽  
Response Index

scholarly journals Systemic inflammation response index (SIRI): A prognostic factor in pancreatic cancer (PC)

2017 ◽  
Vol 28 ◽  
pp. iii70
Author(s):  
Vilma Pacheco Barcia ◽  
Rebeca Mondéjar Solís ◽  
Olga Donnay Candil ◽  
Jacobo Rogado Revuelta ◽  
de la Maza López Olmedo Maria Dolores Fenor ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Prognostic Factor ◽  
Systemic Inflammation ◽  
Inflammation Response ◽  
Response Index

scholarly journals Prognostic Value of the Systemic Inflammation Response Index in Patients with Adenocarcinoma of the Oesophagogastric Junction: A Propensity Score-Matched Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Yuan Chen ◽  
Ming Jin ◽  
Yingjie Shao ◽  
Guoping Xu
Keyword(s):  
Propensity Score ◽  
Systemic Inflammation ◽  
Prognostic Value ◽  
Proportional Hazards ◽  
Prognostic Indicator ◽  
Tnm Staging ◽  
Cox Proportional Hazards ◽  
Inflammation Response ◽  
Response Index ◽  
Oesophagogastric Junction

Systemic inflammation is closely related to the occurrence and development of tumours. Based on preoperative neutrophil, monocyte, and lymphocyte counts, a new systemic inflammation response index (SIRI) was established, and the predictive ability of the SIRI for the survival of patients with adenocarcinoma of the oesophagogastric junction (AEG) was evaluated by propensity score matching (PSM) analysis. A total of 302 AEG patients undergoing radical surgery were studied. Univariate and multivariate analyses were performed using Cox proportional hazards regression models. Time-dependent receiver operating characteristic (ROC) curves were used to compare the predictive capabilities of the SIRI. PSM was implemented to balance the baseline characteristics. The results showed that the SIRI, PLR, NLR, and MLR were associated with overall survival (OS) in AEG patients based on the Kaplan-Meier survival analysis. Multivariate analysis demonstrated that the SIRI was an independent prognostic factor. The AUC for the SIRI was significantly greater than that for the NLR, PLR, and MLR in predicting the 3- and 5-year OS of AEG patients. In PSM analysis, the SIRI remained an independent prognostic indicator of OS in AEG patients. The SIRI is a novel, simple, and inexpensive prognostic predictor for AEG. The prognostic value of the SIRI is superior to that of the PLR, NLR, and MLR. The SIRI can be used to distinguish the prognosis of AEG patients with different TNM stages and can be an important supplement to TNM staging.

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