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Clinical impact of sarcopenia on prognosis in pancreatic ductal adenocarcinoma: A retrospective cohort study

Authors :
Masamichi Hayashi
Naoki Iwata
Go Ninomiya
Hiroyuki Sugimoto
Chie Tanaka
Kojiro Suzuki
Mitsuro Kanda
Suguru Yamada
Goro Nakayama
Masahiko Koike
Yasuhiro Kodera
Tsutomu Fujii
Norimitsu Yabusaki
Michitaka Fujiwara
Source :
International journal of surgery (London, England). 39
Publication Year :
2016

Abstract

Objectives To investigate the impact of the body composition such as skeletal muscle, visceral fat and body mass index (BMI) on patients with resected pancreatic ductal adenocarcinoma (PDAC). Methods A total of 265 patients who underwent curative surgery for PDAC were examined in this study. The total skeletal muscle and fat tissue areas were evaluated in a single image obtained at the third lumber vertebra during a preoperative computed tomography (CT) scan. The patients were assigned to either the sarcopenia or non-sarcopenia group based on their skeletal muscle index (SMI) and classified into high visceral fat area (H-VFA) or low VFA (L-VFA) groups. The association of clinicopathological features and prognosis with the body composition were statistically analyzed. Results There were 170 patients (64.2%) with sarcopenia. The median survival time (MST) was 23.7 months for sarcopenia patients and 25.8 months for patients without sarcopenia. The MST was 24.4 months for H-VFA patients and 25.8 months for L-VFA patients. However, sarcopenia patients with BMI ≥22 exhibited significantly poorer survival than patients without sarcopenia (MST: 19.2 vs. 35.4 months, P = 0.025). There was a significant difference between patients with and without sarcopenia who did not receive chemotherapy (5-year survival rate: 0% vs. 68.3%, P = 0.003). The multivariate analysis revealed that tumor size, positive dissected peripancreatic tissue margin, and sarcopenia were independent prognostic factors. Conclusions Sarcopenia is an independent prognostic factor in PDAC patients with a BMI ≥22. Therefore, evaluating skeletal muscle mass may be a simple and useful approach for predicting patient prognosis.

Details

ISSN :
17439159
Volume :
39
Database :
OpenAIRE
Journal :
International journal of surgery (London, England)
Accession number :
edsair.doi.dedup.....472d96fc75753ccb2ddf7e0cbe8f8278