Novel systemic inflammation response index to predict prognosis after thoracoscopic lung cancer surgery: a propensity score-matching study.

Li, Shuangjiang; Zhang, Yang; Du, Heng; Zhang, Wenbiao; Che, Guowei; Liu, Lunxu (2019). Novel systemic inflammation response index to predict prognosis after thoracoscopic lung cancer surgery: a propensity score-matching study. ANZ journal of surgery, 89(11), E507-E513. Wiley 10.1111/ans.15480

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BACKGROUND Our propensity score-matching (PSM) study evaluated the prognostic significance of systemic inflammation response index (SIRI) for patients undergoing video-assisted thoracoscopic surgery lobectomy for non-small-cell lung cancer (NSCLC). METHODS This study was conducted on prospectively maintained database in our institution between December 2013 and March 2015. Pre-operative SIRI was calculated by peripheral monocyte × neutrophil/lymphocyte counts. Survival analysis was performed to distinguish differences in post-operative survival between patients stratified by an optimum cut-off of SIRI. Multivariable Cox proportional hazards regression models were established to determine independent prognostic factors. RESULTS There were 390 patients with resected NSCLC included. A SIRI of 0.99 was identified as the optimum cut-off regarding to post-operative survival. Both overall survival (OS) and disease-free survival (DFS) in patients with SIRI >0.99 were significantly shortened than those in patient with SIRI ≤0.99. Patients with SIRI >0.99 had significantly lower rates of OS and DFS compared to those patients with SIRI ≤0.99. These differences still remained significant after subgroup analyses and PSM analyses. Multivariable analyses on the entire cohort and the PSM cohort commonly demonstrated that high pre-operative SIRI could be an independent prognostic factor for unfavourable OS and DFS of NSCLC. CONCLUSIONS SIRI serves as a novel risk stratification tool to refine prognostic prediction for surgically resected NSCLC. SIRI may help surgeons to screen high-surgical-risk patients and formulate individualized treatment schemes.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Thoracic Surgery

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Zhang, Yang


600 Technology > 610 Medicine & health








Thomas Michael Marti

Date Deposited:

27 Nov 2019 12:51

Last Modified:

27 Nov 2019 13:00

Publisher DOI:


PubMed ID:


Uncontrolled Keywords:

inflammation lung cancer surgical procedure, thoracoscopic video-assisted thoracic surgery




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