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
![[img]](https://boris.unibe.ch/style/images/fileicons/text.png) |
Text
Li_et_al-2019-ANZ_Journal_of_Surgery.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (977kB) |
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) |
|---|---|
Division/Institute: |
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: |
Yang, Zhang (A) |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1445-2197 |
Publisher: |
Wiley |
Language: |
English |
Submitter: |
Thomas Michael Marti |
Date Deposited: |
27 Nov 2019 12:51 |
Last Modified: |
05 Dec 2022 15:32 |
Publisher DOI: |
10.1111/ans.15480 |
PubMed ID: |
31667974 |
Uncontrolled Keywords: |
inflammation lung cancer surgical procedure, thoracoscopic video-assisted thoracic surgery |
BORIS DOI: |
10.7892/boris.135012 |
URI: |
https://boris.unibe.ch/id/eprint/135012 |
Actions (login required)
 |
Edit item |