Premium
The predictive value of systemic immune inflammation index for postoperative survival of gallbladder carcinoma patients
Author(s) -
Chen Hao,
Huang Zhiwei,
Sun Bo,
Wang Ankang,
Wang Yanrong,
Shi Hao,
Zheng Tianxiang,
Li Tongxi,
Huang Meizhou,
Fu Wenguang
Publication year - 2021
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.26470
Subject(s) - medicine , receiver operating characteristic , univariate analysis , proportional hazards model , survival analysis , multivariate analysis , hazard ratio , gastroenterology , radical surgery , stage (stratigraphy) , oncology , cancer , confidence interval , biology , paleontology
Background Growing evidence indicates that systemic immune inflammation index (SII) can predict the prognosis of various solid tumors. The objective of this study aimed to investigate the efficacy of SII in predicting the prognosis of gallbladder carcinoma (GBC) patients after radical surgery. Methods A consecutive series of 93 patients with GBC who underwent radical resection were enrolled in the retrospective study. The cutoff value for the SII was calculated using the time‐dependent receiver operating characteristic (ROC) curve analysis by overall survival (OS) prediction. The associations between the SII and the clinicopathologic characteristics were analyzed using Pearson's χ 2 test and Fisher's exact test. Survival curves were calculated using the Kaplan–Meier method. Univariate analysis was performed to evaluate the prognostic relevance of preoperative parameters. The multivariate Cox regression proportional hazard model was used to assess variables significant on univariate analysis. Results The Kaplan–Meier survival analysis and the multivariate analysis of patients with GBC who received radical resection showed SII independently predicted OS. The univariate analysis showed that the TNM stage, SII, CA19‐9, ALP, prealbumin, NLR, MLR, lymph node metastasis, and histopathological type were all associated with overall survival. In time‐dependent ROC analysis, the area of the SII‐CA19‐9 under the ROC curve (AUC) was higher than that of the preoperative SII or CA19‐9 levels for the prediction of OS. Conclusion Our results demonstrate that high SII was a predictor of poor long‐term outcomes among patients with GBC undergoing curative surgery. SII‐CA19‐9 classification may be more effective in predicting the postoperative prognosis of GBC patients.