The clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapy
ObjectiveThe assessment of nutritional status has been recognized as crucial in the treatment of geriatric cancer patients. The objective of this study is to determine the clinical predictive value of the geriatric nutritional risk index (GNRI) in predicting the short-term and long-term prognosis of...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-08-01
|
Series: | Frontiers in Nutrition |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2023.1237047/full |
_version_ | 1828716159797559296 |
---|---|
author | Lei Zhang Lei Zhang Chenhao Hu Chenhao Hu Ruizhe Li Ruizhe Li Zhe Zhang Zhe Zhang Ya Wang Jiamian Zhao Jiamian Zhao Ruihan Liu Zhenghui Li Zhenghui Li Junjun She Junjun She Feiyu Shi Feiyu Shi |
author_facet | Lei Zhang Lei Zhang Chenhao Hu Chenhao Hu Ruizhe Li Ruizhe Li Zhe Zhang Zhe Zhang Ya Wang Jiamian Zhao Jiamian Zhao Ruihan Liu Zhenghui Li Zhenghui Li Junjun She Junjun She Feiyu Shi Feiyu Shi |
author_sort | Lei Zhang |
collection | DOAJ |
description | ObjectiveThe assessment of nutritional status has been recognized as crucial in the treatment of geriatric cancer patients. The objective of this study is to determine the clinical predictive value of the geriatric nutritional risk index (GNRI) in predicting the short-term and long-term prognosis of elderly rectal cancer (RC) patients who undergo surgical treatment after neoadjuvant therapy.MethodsBetween January 2014 and December 2020, the clinical materials of 639 RC patients aged ≥70 years who underwent surgical treatment after neoadjuvant therapy were retrospectively analysed. Propensity score matching was performed to adjust for baseline potential confounders. Logistic regression analysis and competing risk analysis were conducted to evaluate the correlation between the GNRI and the risk of postoperative major complications and cumulative incidence of cancer-specific survival (CSS). Nomograms were then constructed for postoperative major complications and CSS. Additionally, 203 elderly RC patients were enrolled between January 2021 and December 2022 as an external validation cohort.ResultsMultivariate logistic regression analysis showed that GNRI [odds ratio = 1.903, 95% confidence intervals (CI): 1.120–3.233, p = 0.017] was an independent risk factor for postoperative major complications. In competing risk analysis, the GNRI was also identified as an independent prognostic factor for CSS (subdistribution hazard ratio = 3.90, 95% CI: 2.46–6.19, p < 0.001). The postoperative major complication nomogram showed excellent performance internally and externally in the area under the receiver operating characteristic curve (AUC), calibration plots and decision curve analysis (DCA). When compared with other models, the competing risk prognosis nomogram incorporating the GNRI achieved the highest outcomes in terms of the C-index, AUC, calibration plots, and DCA.ConclusionThe GNRI is a simple and effective tool for predicting the risk of postoperative major complications and the long-term prognosis of elderly RC patients who undergo surgical treatment after neoadjuvant therapy. |
first_indexed | 2024-03-12T14:08:24Z |
format | Article |
id | doaj.art-15416ec2d60541719d6da95d1076575f |
institution | Directory Open Access Journal |
issn | 2296-861X |
language | English |
last_indexed | 2024-03-12T14:08:24Z |
publishDate | 2023-08-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Nutrition |
spelling | doaj.art-15416ec2d60541719d6da95d1076575f2023-08-21T09:10:00ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2023-08-011010.3389/fnut.2023.12370471237047The clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapyLei Zhang0Lei Zhang1Chenhao Hu2Chenhao Hu3Ruizhe Li4Ruizhe Li5Zhe Zhang6Zhe Zhang7Ya Wang8Jiamian Zhao9Jiamian Zhao10Ruihan Liu11Zhenghui Li12Zhenghui Li13Junjun She14Junjun She15Feiyu Shi16Feiyu Shi17Department of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCenter for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaObjectiveThe assessment of nutritional status has been recognized as crucial in the treatment of geriatric cancer patients. The objective of this study is to determine the clinical predictive value of the geriatric nutritional risk index (GNRI) in predicting the short-term and long-term prognosis of elderly rectal cancer (RC) patients who undergo surgical treatment after neoadjuvant therapy.MethodsBetween January 2014 and December 2020, the clinical materials of 639 RC patients aged ≥70 years who underwent surgical treatment after neoadjuvant therapy were retrospectively analysed. Propensity score matching was performed to adjust for baseline potential confounders. Logistic regression analysis and competing risk analysis were conducted to evaluate the correlation between the GNRI and the risk of postoperative major complications and cumulative incidence of cancer-specific survival (CSS). Nomograms were then constructed for postoperative major complications and CSS. Additionally, 203 elderly RC patients were enrolled between January 2021 and December 2022 as an external validation cohort.ResultsMultivariate logistic regression analysis showed that GNRI [odds ratio = 1.903, 95% confidence intervals (CI): 1.120–3.233, p = 0.017] was an independent risk factor for postoperative major complications. In competing risk analysis, the GNRI was also identified as an independent prognostic factor for CSS (subdistribution hazard ratio = 3.90, 95% CI: 2.46–6.19, p < 0.001). The postoperative major complication nomogram showed excellent performance internally and externally in the area under the receiver operating characteristic curve (AUC), calibration plots and decision curve analysis (DCA). When compared with other models, the competing risk prognosis nomogram incorporating the GNRI achieved the highest outcomes in terms of the C-index, AUC, calibration plots, and DCA.ConclusionThe GNRI is a simple and effective tool for predicting the risk of postoperative major complications and the long-term prognosis of elderly RC patients who undergo surgical treatment after neoadjuvant therapy.https://www.frontiersin.org/articles/10.3389/fnut.2023.1237047/fullelderly patientsrectal cancergeriatric nutritional risk indexpostoperative major complicationcancer-specific survivalneoadjuvant therapy |
spellingShingle | Lei Zhang Lei Zhang Chenhao Hu Chenhao Hu Ruizhe Li Ruizhe Li Zhe Zhang Zhe Zhang Ya Wang Jiamian Zhao Jiamian Zhao Ruihan Liu Zhenghui Li Zhenghui Li Junjun She Junjun She Feiyu Shi Feiyu Shi The clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapy Frontiers in Nutrition elderly patients rectal cancer geriatric nutritional risk index postoperative major complication cancer-specific survival neoadjuvant therapy |
title | The clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapy |
title_full | The clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapy |
title_fullStr | The clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapy |
title_full_unstemmed | The clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapy |
title_short | The clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapy |
title_sort | clinical predictive value of geriatric nutritional risk index in elderly rectal cancer patients received surgical treatment after neoadjuvant therapy |
topic | elderly patients rectal cancer geriatric nutritional risk index postoperative major complication cancer-specific survival neoadjuvant therapy |
url | https://www.frontiersin.org/articles/10.3389/fnut.2023.1237047/full |
work_keys_str_mv | AT leizhang theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT leizhang theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT chenhaohu theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT chenhaohu theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT ruizheli theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT ruizheli theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT zhezhang theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT zhezhang theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT yawang theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT jiamianzhao theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT jiamianzhao theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT ruihanliu theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT zhenghuili theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT zhenghuili theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT junjunshe theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT junjunshe theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT feiyushi theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT feiyushi theclinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT leizhang clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT leizhang clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT chenhaohu clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT chenhaohu clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT ruizheli clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT ruizheli clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT zhezhang clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT zhezhang clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT yawang clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT jiamianzhao clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT jiamianzhao clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT ruihanliu clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT zhenghuili clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT zhenghuili clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT junjunshe clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT junjunshe clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT feiyushi clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy AT feiyushi clinicalpredictivevalueofgeriatricnutritionalriskindexinelderlyrectalcancerpatientsreceivedsurgicaltreatmentafterneoadjuvanttherapy |