scholarly journals Prognostic Significance of Admission Systemic Inflammation Response Index in Patients With Spontaneous Intracerebral Hemorrhage: A Propensity Score Matching Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Junhong Li ◽  
Yunbo Yuan ◽  
Xiang Liao ◽  
Zhiyuan Yu ◽  
Hao Li ◽  
...  
Keyword(s):  
Propensity Score ◽  
Intracerebral Hemorrhage ◽  
Propensity Score Matching ◽  
Systemic Inflammation ◽  
Functional Outcomes ◽  
Prognostic Significance ◽  
Predictive Ability ◽  
Original Cohort ◽  
Inflammation Response ◽  
Response Index

Intracerebral hemorrhage (ICH) accounts for ~15% of all strokes and is associated with high mortality and disability rates. The systemic inflammation response index (SIRI) is a novel systemic inflammatory marker based on peripheral neutrophil, monocyte, and lymphocyte counts. This study aimed to evaluate the prognostic significance of admission SIRI in patients with spontaneous ICH and compare its predictive ability with that of the neutrophil-to-lymphocyte ratio (NLR). This retrospective study was conducted based on a prospectively collected database of patients with ICH between June 2016 and January 2019. Propensity score matching (PSM) was conducted to adjust for potential imbalances in the clinical parameters. A total of 403 patients were included in the original cohort. The optimal SIRI cut-off value was 2.76. After 1:1 PSM based on potential confounding variables, a new cohort containing 262 patients was established for further analysis. In the original cohort, SIRI served as an independent predictor of 3-month functional outcome [odds ratio (OR), 1.302; 95% CI, 1.120–1.512; p = 0.001] and 1-month mortality (OR, 1.072; 95% CI, 1.020–1.126; p = 0.006), while NLR was independently associated with only 3-month functional outcomes (OR, 1.051; 95% CI, 1.004–1.100; p = 0.031) and not 1-month mortality. The same applied to the PSM cohort. Receiver operating characteristic analyses and predictive models indicated that in most instances, SIRI was superior to NLR and their components in predicting the outcomes of patients with ICH. Our study found that SIRI is determined to be an independent predictive indicator for ICH patients in 3-month functional outcomes and 1-month mortality. The prognostic predictive ability of SIRI was stronger than that of NLR.

scholarly journals Systemic Inflammation Response Index Is a Predictor of Poor Survival in Locally Advanced Nasopharyngeal Carcinoma: A Propensity Score Matching Study

2020 ◽  
Vol 10 ◽  
Author(s):  
Yuhua Feng ◽  
Na Zhang ◽  
Sisi Wang ◽  
Wen Zou ◽  
Yan He ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Nasopharyngeal Carcinoma ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Systemic Inflammation ◽  
Locally Advanced ◽  
Cox Regression Analysis ◽  
Inflammation Response ◽  
Lymphocyte Ratio ◽  
Response Index

IntroductionNasopharyngeal carcinoma (NPC) is a common malignancy in China and known prognostic factors are limited. In this study, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) were evaluated as prognostic factors in locally advanced NPC patients.Materials and MethodsNPC patients who received curative radiation or chemoradiation between January 2012 and December 2015 at the Second Xiangya Hospital were retrospectively reviewed, and a total of 516 patients were shortlisted. After propensity score matching (PSM), 417 patients were eventually enrolled. Laboratory and clinical data were collected from the patients’ records. Receiver operating characteristic curve analysis was used to determine the optimal cut-off value. Survival curves were analyzed using the Kaplan-Meier method. The Cox proportional hazard model was used to identify prognostic variables.ResultsAfter PSM, all basic characteristics between patients in the high SIRI group and low SIRI group were balanced except for sex (p=0.001) and clinical stage (p=0.036). Univariate analysis showed that NLR (p=0.001), PLR (p=0.008), SII (p=0.001), and SIRI (p<0.001) were prognostic factors for progression-free survival (PFS) and overall survival (OS). However, further multivariate Cox regression analysis showed that only SIRI was an independent predictor of PFS and OS (hazard ratio (HR):2.83; 95% confidence interval (CI): 1.561-5.131; p=0.001, HR: 5.19; 95% CI: 2.588-10.406; p<0.001), respectively.ConclusionOur findings indicate that SIRI might be a promising predictive indicator of locally advanced NPC patients.

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 Impact of Preexisting Cognitive Impairment and Race/Ethnicity on Functional Outcomes Following Intracerebral Hemorrhage

Stroke ◽  
2021 ◽  
Vol 52 (2) ◽  
pp. 603-610
Author(s):  
Russell P. Sawyer ◽  
Eunji Yim ◽  
Elisheva Coleman ◽  
Stacie L. Demel ◽  
Padmini Sekar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Propensity Score ◽  
Intracerebral Hemorrhage ◽  
Propensity Score Matching ◽  
Scale Score ◽  
Functional Outcomes ◽  
Cognitively Impaired ◽  
Modified Rankin Scale ◽  
Race Ethnicity

Background and Purpose: In intracerebral hemorrhage (ICH), preexisting cognitive impairment has been identified as a risk factor for increased mortality and morbidity. However, previous studies examined predominantly White populations; therefore, the prevalence and effect of preICH cognitive impairment has not been studied in a multiethnic cohort. This limits the generalizability of previous findings. We sought to investigate the role of preexisting cognitive impairment in a multiethnic population on short-term mortality and functional outcomes after ICH. Methods: Patients with ICH were prospectively enrolled as cases for the GERFHS III (Genetic and Environmental Risk Factors for Hemorrhagic Stroke) Study and the Ethnic/Racial Variations of ICH (ERICH) Study. Cognitive impairment before ICH was defined as positive history of dementia or treatment with donepezil, galantamine, memantine, or rivastigmine on chart abstraction or baseline interview. Specific outcomes—modified Rankin Scale score at 3 months (0–2 versus ≥3), Barthel Index score (<100 versus 100) at 3 months, and withdrawal of care—were analyzed using multivariable logistic regression. Propensity score matching and analysis was done because of imbalances between cognitively impaired and cognitively intact groups. Results: Of the 3537 cases of ICH, 304 patients had cognitive impairment predating ICH. Cognitively impaired subjects were more likely to experience withdrawal of care during hospitalization, and for survivors, greater disability (modified Rankin Scale score of ≥3) and lower Barthel scores after ICH. After propensity score matching, preexisting cognitive impairment was associated with a lower modified Rankin Scale at 3 months in the White, Black, and Hispanic subgroups. Conclusions: Preexisting cognitive impairment was associated with loss of independence 3-month post-ICH, when matching for risk factors of cognitive impairment, in the White, Black, and Hispanic subgroups. This suggests that preexisting cognitive impairment has a negative effect in obtaining functional independence following ICH, irrespective of race/ethnicity.

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.

scholarly journals Evidence of the Prognostic Value of Pretreatment Systemic Inflammation Response Index in Cancer Patients: A Pooled Analysis of 19 Cohort Studies

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yi Zhang ◽  
Fangteng Liu ◽  
Yang Wang
Keyword(s):  
Cohort Studies ◽  
Systemic Inflammation ◽  
Evaluation System ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Pooled Analysis ◽  
Adverse Outcomes ◽  
Inflammation Response ◽  
Response Index ◽  
Hazard Ratios

Objective. Systemic inflammation response index (SIRI) is a new inflammation-based evaluation system that has been reported for predicting survival in multiple tumors, but the prognostic significance of SIRI in cancers has not been evinced. Methods. Eligible studies updated on December 31, 2019, were selected according to inclusion criteria, the literature searching was performed in PubMed, Web of Science, Google Scholar, and Cochrane. Hazard ratios (HRs), and 95% confidence intervals (CIs) were extracted and pooled by using Stata/SE 14.1. Results. 11 publications involving 19 cohort studies with a total of 5,605 subjects were included. Meta-analysis results evinced that high SIRI was associated with worse OS (HR=2.30, 95% CI: 1.87-2.83, p≤0.001), poor CSS/DSS (HR=2.83, 95% CI: 1.98-4.04, p≤0.001), and inferior MFS/DFS/PFS/RFS/TTP (HR=1.88, 95% CI: 1.65-2.15, p≤0.001). The association of SIRI with OS was not significantly affected when stratified by diverse confounding factors. It was suggested that tumor patients with high pretreatment SIRI levels would suffer from adverse outcomes. Conclusion. High SIRI is associated with unfavorable clinical outcomes in human malignancies; pretreatment SIRI level might be a useful and promising predictive indicator of prognosis in cancers.

scholarly journals Low Systemic Inflammation Response Index Predicts Good Prognosis in Locally Advanced Pancreatic Carcinoma Patients Treated with Concurrent Chemoradiotherapy

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Erkan Topkan ◽  
Huseyin Mertsoylu ◽  
Ahmet Kucuk ◽  
Ali Ayberk Besen ◽  
Ahmet Sezer ◽  
...  
Keyword(s):  
Pancreatic Carcinoma ◽  
Systemic Inflammation ◽  
Roc Curve ◽  
Concurrent Chemoradiotherapy ◽  
Locally Advanced ◽  
Prognostic Significance ◽  
Inflammation Response ◽  
Response Index ◽  
Locally Advanced Pancreatic Carcinoma ◽  
Advanced Pancreatic Carcinoma

Background. We investigated the prognostic significance of pretreatment systemic inflammation response index (SIRI) in locally advanced pancreatic carcinoma (LAPC) patients treated with concurrent chemoradiotherapy (CRT). Methods. Present retrospective cohort analysis investigated consecutive 154 LAPC patients who received radical CRT. The SIRI was defined as: SIRI=neutrophil×monocyte/lymphocyte counts. Ideal SIRI cutoff(s) influencing overall survival (OS) and progression-free survival (PFS) results were sought by using receiver operating characteristic (ROC) curve analysis. The primary endpoint was the interaction between the SIRI and OS results. Results. The median follow-up, PFS, and OS durations were 14.3 (range: 2.9-74.6), 7.9 [%95 confidence interval (CI): 5.7-10.1), and 14.7 months (%95 CI: 11.4-18.0) for the entire cohort, respectively. ROC curve analyses determined the ideal SIRI cutoff that exhibiting a significant link with OS and PFS outcomes at the rounded 1.6 point (AUC: 74.3%; sensitivity: 73.8%; specificity: 70.1%).The SIRI <1.6 patients (N=58) had significantly superior median PFS (13.8 versus 6.7 months; P<0.001) and OS (28.6 versus 12.6 months; P<0.001) lengths than SIRI ≥1.6 patients (N=96), respectively. Although the N0 (versus N1; P<0.05) and CA 19-9 ≤90 U/mL (versus >90 U/mL) appeared as the other significant associates of better OS and PFS in univariate analyses, yet the results of multivariate analyses confirmed the SIRI <1.6 as the independent indicator of superior OS and PFS (P<0.001 for each). Conclusion. Pretreatment SIRI is a novel independent prognosticator that may further enhance the conventional tumor-node-metastases staging system in a more precise prediction of the OS and PFS outcomes of LAPC patients after radical CRT.

scholarly journals Dynamic Changes in the Systemic Inflammation Response Index Predict the Outcome of Resectable Gastric Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Zhenhua Liu ◽  
Haijue Ge ◽  
Zhilong Miao ◽  
Shoupeng Shao ◽  
Hongtai Shi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Systemic Inflammation ◽  
Dynamic Change ◽  
Clinicopathological Parameters ◽  
Original Cohort ◽  
Inflammation Response ◽  
Response Index ◽  
Before And After ◽  
Gastric Cancer Patients

The systemic inflammation response index (SIRI) has been revealed to be closely related to the prognosis of a variety of tumors. Whether the dynamic change in SIRI before and after surgery can be used to judge the prognosis of patients after radical gastrectomy has not yet been studied. In this study, the predictive ability of preoperative SIRI and changes in SIRI before and after surgery for the survival rate of gastric cancer patients was evaluated in two independent cohorts. It was found that SIRI was closely related to TNM staging. The higher the TNM stage, the higher the proportion of patients with a high SIRI. However, SIRI was not related to any other clinicopathological parameters. Kaplan-Meier survival analysis showed that a high SIRI was associated with poor prognosis in gastric cancer patients in the original cohort and in the validation cohort. SIRI, NLR, PLR, and MLR could be used to judge the prognosis of patients with operable gastric cancer. However, multivariate analysis suggested that only SIRI was an independent prognostic factor for patients with operable gastric cancer. In addition, the change in SIRI at 4 to 6 weeks after surgery compared with SIRI before surgery was closely related to the survival of gastric cancer patients. Compared with the unchanged group (absolute variation &lt;50%), gastric cancer patients with a SIRI increase &gt;50% had a worse OS, while patients with a SIRI decrease &gt;50% had a better prognosis. In conclusion, SIRI can be used as a reliable index to evaluate the prognosis of patients with operable gastric cancer, and the dynamic change in SIRI before and after surgery is significantly related to the prognosis of patients with gastric cancer.

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