Literature DB >> 28161529

The Charlson age comorbidity index predicts prognosis in patients with resected pancreatic cancer.

Tomonari Asano1, Suguru Yamada2, Tsutomu Fujii1, Norimitsu Yabusaki1, Goro Nakayama1, Hiroyuki Sugimoto1, Masahiko Koike1, Michitaka Fujiwara1, Yasuhiro Kodera1.   

Abstract

BACKGROUND: The Charlson age comorbidity index (CACI) is a useful measure of comorbidity to standardize the evaluation of surgical patients and has been reported to predict postoperative mortality in various cancers.
METHOD: A total of 379 patients who underwent R0/R1 resection for pancreatic cancer between 2003 and 2014 were enrolled in this study. According to the CACI, the age-adjusted comorbidity index was calculated by weighting individual comorbidities; CACI<4 was considered the low-CACI group, whereas CACI≥4 was considered the high-CACI group. The correlations between the CACI and clinicopathologic features and survival outcomes were statistically analyzed.
RESULTS: The patients with a high CACI were more likely to be old and had higher CA19-9 levels and lower incidences of portal vein resection and blood transfusion. The rate of patients who received chemotherapy was significantly higher in the low-CACI group than in the high-CACI group (87% vs. 69%, P < 0.0001). The overall survival (OS) rate was significantly higher in the low-CACI group than in the high-CACI group (P = 0.047). Multivariable analysis showed that a high CACI was a predictor of poor survival (P = 0.024). In the high-CACI group, patients with high relative dose intensity (RDI) for postoperative adjuvant chemotherapy had significantly better relapse-free survival (RFS) and OS than those with low RDI (both P < 0.0001).
CONCLUSIONS: The CACI was a significant independent predictor of prognosis and compliance for postoperative adjuvant chemotherapy in the resected pancreatic cancer.
Copyright © 2017 IJS Publishing Group Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CACI; Chemotherapy; Pancreatic cancer; RDI

Mesh:

Year:  2017        PMID: 28161529     DOI: 10.1016/j.ijsu.2017.01.115

Source DB:  PubMed          Journal:  Int J Surg        ISSN: 1743-9159            Impact factor:   6.071


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