What is the most useful body composition parameter for predicting toxicities of preoperative chemotherapy for gastric cancer?

Tadayoshi Hashimoto, Yukinori Kurokawa, Tsuyoshi Takahashi, Takuro Saito, Kotaro Yamashita, Koji Tanaka, Tomoki Makino, Makoto Yamasaki, Masaaki Motoori, Yutaka Kimura, Kiyokazu Nakajima, Masaki Mori, Yuichiro Doki

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Purpose: Preoperative chemotherapy is an effective treatment option for resectable gastric cancer, but it is associated with various adverse events (AEs). This study aimed to identify the body composition parameters that most accurately predicted the incidence of AEs in preoperative chemotherapy for gastric cancer. Methods: The present study included a total of 114 patients who received preoperative chemotherapy for resectable gastric cancer. We estimated various body composition parameters using computed tomography images obtained before preoperative chemotherapy. Their associations with the incidence of hematological (grade ≥ 3) and non-hematological (grade ≥ 2) AEs were analyzed by multivariate logistic regression analyses. Results: Seventy-two of the 114 (63.2%) patients experienced hematological AEs (grade ≥ 3), specifically neutropenia in 68 (59.6%), anemia in 5 (4.9%), and thrombocytopenia in 3 (2.6%). Meanwhile, 59 patients (51.8%) experienced non-hematological AEs (grade ≥ 2), namely hypoalbuminemia in 31 (27.2%), anorexia in 24 (21.1%), and febrile neutropenia in 17 (14.9%). Multivariate analyses revealed that a low psoas muscle index (PMI) was an independent risk factor for the incidence of both hematological and non-hematological AEs. Conclusions: Patients with a low PMI experienced an increased incidence of hematological and non-hematological toxicities during preoperative chemotherapy for gastric cancer. Clinicians should be aware of these risks in this population.

Original languageEnglish
Pages (from-to)509-515
Number of pages7
JournalSurgery today
Volume50
Issue number5
DOIs
Publication statusPublished - May 1 2020

All Science Journal Classification (ASJC) codes

  • Surgery

Fingerprint

Dive into the research topics of 'What is the most useful body composition parameter for predicting toxicities of preoperative chemotherapy for gastric cancer?'. Together they form a unique fingerprint.

Cite this