Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer

Objectives To explore the effect of combined hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancer and to screen for the best prognostic indicators. Introduction Gastric and colorectal cancer is a widespread health concern...

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Main Authors: Xin Zheng, Jin-Yu Shi, Zi-Wen Wang, Guo-Tian Ruan, Yi-Zhong Ge, Shi-Qi Lin, Chen-An Liu, Yue Chen, Hai-Lun Xie, Meng-Meng Song, Tong Liu, Ming Yang, Xiao-Yue Liu, Li Deng, Ming-Hua Cong, Han-Ping Shi
Format: Article
Language:English
Published: SAGE Publishing 2024-01-01
Series:Cancer Control
Online Access:https://doi.org/10.1177/10732748241230888
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author Xin Zheng
Jin-Yu Shi
Zi-Wen Wang
Guo-Tian Ruan
Yi-Zhong Ge
Shi-Qi Lin
Chen-An Liu
Yue Chen
Hai-Lun Xie
Meng-Meng Song
Tong Liu
Ming Yang
Xiao-Yue Liu
Li Deng
Ming-Hua Cong
Han-Ping Shi
author_facet Xin Zheng
Jin-Yu Shi
Zi-Wen Wang
Guo-Tian Ruan
Yi-Zhong Ge
Shi-Qi Lin
Chen-An Liu
Yue Chen
Hai-Lun Xie
Meng-Meng Song
Tong Liu
Ming Yang
Xiao-Yue Liu
Li Deng
Ming-Hua Cong
Han-Ping Shi
author_sort Xin Zheng
collection DOAJ
description Objectives To explore the effect of combined hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancer and to screen for the best prognostic indicators. Introduction Gastric and colorectal cancer is a widespread health concern worldwide and one of the major contributors to cancer-related death. The hematological and physical measurement indicators have been shown to associate with the prognosis of patients undergoing surgery for gastric or colorectal cancer, respectively, but it is still unclear whether the combination of the two can reflect the prognosis more effectively. Methods Thirteen hematological indicators and 5 physical measurement indicators were selected in this study, and the most promising ones were screened using LASSO regression. Then, the best prognostic indicators were selected by time-ROC curves. Survival curves were constructed using the Kaplan–Meier method, and the effects of hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancers were evaluated by Cox proportional risk regression analysis. In addition, the relationship between hematological and physical measurement indicators on secondary outcomes, including length of stay, hospitalization costs, intensive care unit (ICU) admission, and patients’ subjective global assessment scores (PGSGA), was explored. Results After initial screening, among the hematological indicators, the geriatric nutritional risk index (GNRI) showed the highest mean area under the curve (AUC) values. Among body measures, calf circumference (CC) showed the highest mean AUC value. Further analyses showed that the combination of combined nutritional prognostic index (GNRI) and calf circumference (CC) (GNRI-CC) had the best performance in predicting the prognosis of patients undergoing surgery for gastric or colorectal cancers. Low GNRI, low CC, and low GNRI-low CC increased the risk of death by 44%, 48%, and 104%, respectively. Sensitivity analyses showed the same trend. In addition, low GNRI-low CC increased the risk of malnutrition by 17%. Conclusion This study emphasizes that a combination of blood measures and body measures is essential to accurately assess the prognosis of patients undergoing surgery for gastric or colorectal cancers. The GNRI-CC is a good prognostic indicator and can also assess the risk of possible malnutrition.
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spelling doaj.art-1934ca6e37d44f8cab0c8e309f9f89ad2024-02-02T12:03:43ZengSAGE PublishingCancer Control1526-23592024-01-013110.1177/10732748241230888Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal CancerXin ZhengJin-Yu ShiZi-Wen WangGuo-Tian RuanYi-Zhong GeShi-Qi LinChen-An LiuYue ChenHai-Lun XieMeng-Meng SongTong LiuMing YangXiao-Yue LiuLi DengMing-Hua CongHan-Ping ShiObjectives To explore the effect of combined hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancer and to screen for the best prognostic indicators. Introduction Gastric and colorectal cancer is a widespread health concern worldwide and one of the major contributors to cancer-related death. The hematological and physical measurement indicators have been shown to associate with the prognosis of patients undergoing surgery for gastric or colorectal cancer, respectively, but it is still unclear whether the combination of the two can reflect the prognosis more effectively. Methods Thirteen hematological indicators and 5 physical measurement indicators were selected in this study, and the most promising ones were screened using LASSO regression. Then, the best prognostic indicators were selected by time-ROC curves. Survival curves were constructed using the Kaplan–Meier method, and the effects of hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancers were evaluated by Cox proportional risk regression analysis. In addition, the relationship between hematological and physical measurement indicators on secondary outcomes, including length of stay, hospitalization costs, intensive care unit (ICU) admission, and patients’ subjective global assessment scores (PGSGA), was explored. Results After initial screening, among the hematological indicators, the geriatric nutritional risk index (GNRI) showed the highest mean area under the curve (AUC) values. Among body measures, calf circumference (CC) showed the highest mean AUC value. Further analyses showed that the combination of combined nutritional prognostic index (GNRI) and calf circumference (CC) (GNRI-CC) had the best performance in predicting the prognosis of patients undergoing surgery for gastric or colorectal cancers. Low GNRI, low CC, and low GNRI-low CC increased the risk of death by 44%, 48%, and 104%, respectively. Sensitivity analyses showed the same trend. In addition, low GNRI-low CC increased the risk of malnutrition by 17%. Conclusion This study emphasizes that a combination of blood measures and body measures is essential to accurately assess the prognosis of patients undergoing surgery for gastric or colorectal cancers. The GNRI-CC is a good prognostic indicator and can also assess the risk of possible malnutrition.https://doi.org/10.1177/10732748241230888
spellingShingle Xin Zheng
Jin-Yu Shi
Zi-Wen Wang
Guo-Tian Ruan
Yi-Zhong Ge
Shi-Qi Lin
Chen-An Liu
Yue Chen
Hai-Lun Xie
Meng-Meng Song
Tong Liu
Ming Yang
Xiao-Yue Liu
Li Deng
Ming-Hua Cong
Han-Ping Shi
Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer
Cancer Control
title Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer
title_full Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer
title_fullStr Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer
title_full_unstemmed Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer
title_short Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer
title_sort geriatric nutritional risk index combined with calf circumference can be a good predictor of prognosis in patients undergoing surgery for gastric or colorectal cancer
url https://doi.org/10.1177/10732748241230888
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