Comparison of the Clinical Value of the Geriatric Nutritional Risk Index and Prognostic Nutritional Index as Determinants of Survival Outcome in Patients with Gastric Cancer

被引:10
|
作者
An, Soomin [1 ]
Eo, Wankyu [2 ]
Lee, Sookyung [3 ]
机构
[1] Dongyang Univ, Dept Nursing, Gyeongbuk, South Korea
[2] Kyung Hee Univ, Coll Med, Seoul, South Korea
[3] Kyung Hee Univ, Coll Korean Med, Dept Clin Oncol, Seoul, South Korea
来源
JOURNAL OF CANCER | 2022年 / 13卷 / 12期
关键词
Gastrectomy; Nutritional indices; Prognosis; Stomach neoplasm; SERUM-ALBUMIN; GASTRECTOMY; MORBIDITY; CORRELATE;
D O I
10.7150/jca.77397
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: The geriatric nutritional risk index (GNRI) is an important determinant of overall survival (OS) in patients with stage I-III gastric cancer (GC) across all ages; however, its value as a determinant of disease-free survival (DFS) is unclear. Moreover, the prognostic values between the GNRI and prognostic nutritional index (PNI) remains unclear. Methods: We retrospectively evaluated the value of the GNRI and PNI as determinants of OS and DFS in patients with stage I-III GC who underwent curative-intent gastrectomy. Cox regression analysis was used for evaluating the determinants of survival outcomes. The discriminative capacity of the prognostic model was determined using the concordance index (C-index), and then C-indices of related models were compared. Results: Data from 450 patients were analyzed. The median patient age was 60 years (range: 26-92 years). In total, 276 (61.3%) patients had stage I cancer, 83 (18.4%) had stage II cancer, and 91 ( 20.2%) had stage III cancer. Multivariate Cox regression analysis revealed that age, type of gastrectomy (TOG), T stage, tumor-node-metastasis (TNM) stage, and GNRI were determinants of OS. These five covariates constituted the GNRI model for the OS. In addition, multivariate analysis revealed that age, TOG, TNM stage, and GNRI were determinants of DFS. These four covariates constituted the GNRI model for DFS. When constructing the PNI model for OS (comprising age, TOG, T stage, TNM stage, and PNI), and PNI model for DFS (including age, TOG, TNM stage, and PNI), the C-indices of the GNRI and PNI models were nearly equal for OS (0.818 and 0.818, respectively; p=0.909) and DFS (0.805 and 0.808, respectively; p=0.653). Using the GNRI models, nomograms for predicting OS and DFS were established. When validating the nomograms using calibration curves, the predicted survival closely matched the actual survival rate. Conclusion: The GNRI and PNI were important determinants of both OS and DFS in patients with GC across all ages. In addition, the effects of the GNRI model on OS and DFS were similar to those of the PNI model.
引用
收藏
页码:3348 / 3357
页数:10
相关论文
共 50 条
  • [21] Value of the prognostic nutritional index in advanced gastric cancer treated with preoperative chemotherapy
    Sun, Jianyi
    Wang, Donghai
    Mei, Ying
    Jin, Hailong
    Zhu, Kankai
    Liu, Xiaosun
    Zhang, Qing
    Yu, Jiren
    JOURNAL OF SURGICAL RESEARCH, 2017, 209 : 37 - 44
  • [22] The prognostic value of geriatric nutritional risk index in elderly patients with severe community-acquired pneumonia A retrospective study
    Wei, Lishuang
    Xie, Hailun
    Li, Junkang
    Li, Rui
    Chen, Weijian
    Huang, Lanfang
    Li, Xialin
    Yan, Ping
    MEDICINE, 2020, 99 (37) : E22217
  • [23] The impact of the prognostic nutritional index (PNI) in gastric cancer
    Jorge Nogueiro
    Hugo Santos-Sousa
    André Pereira
    Vítor Devezas
    Cristina Fernandes
    Fabiana Sousa
    Telma Fonseca
    Elisabete Barbosa
    José Adelino Barbosa
    Langenbeck's Archives of Surgery, 2022, 407 : 2703 - 2714
  • [24] Prognostic value of the preoperative prognostic nutritional index in oldest-old patients with colorectal cancer
    Tominaga, Tetsuro
    Nonaka, Takashi
    Hisanaga, Makoto
    Fukuda, Akiko
    Tanoue, Yukinori
    Yoshimoto, Takafumi
    Hidaka, Shigekazu
    Sawai, Terumitsu
    Nagayasu, Takeshi
    SURGERY TODAY, 2020, 50 (05) : 449 - 459
  • [25] Prognostic values of geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) in elderly patients with Diffuse Large B-Cell Lymphoma
    Yan, Dongmei
    Shen, Ziyuan
    Zhang, Shuo
    Hu, Lingling
    Sun, Qian
    Xu, Kailin
    Jin, Yingliang
    Sang, Wei
    JOURNAL OF CANCER, 2021, 12 (23): : 7010 - 7017
  • [26] Prognostic value of combined systemic inflammation response index and prognostic nutritional index in colorectal cancer patients
    Li, Ke-Jin
    Zhang, Zi-Yi
    Sulayman, Subinur
    Shu, Yin
    Wang, Kuan
    Ababaike, Saibihutula
    Zeng, Xiang-Yue
    Zhao, Ze-Liang
    WORLD JOURNAL OF GASTROINTESTINAL SURGERY, 2024, 16 (12):
  • [27] Geriatric Nutritional Risk Index as a prognostic marker for predicting survival outcomes in patients with UTUC after radical nephroureterectomy
    Zheng, Lei
    Ye, Jianjun
    Wu, Qiyou
    Chen, Jinhong
    Wang, Qihao
    Chen, Kai
    Wei, Qiang
    Bao, Yige
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [28] Prognostic value of geriatric nutritional risk index for aspiration pneumonia: a retrospective observational cohort study
    Araki, Taisuke
    Yamazaki, Yoshitaka
    Goto, Norihiko
    Takahashi, Yuko
    Ikuyama, Yuichi
    Kosaka, Makoto
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2022, 34 (03) : 563 - 571
  • [29] Geriatric nutritional risk index as the prognostic factor in older patients with fragility hip fractures
    Tsutsui, T.
    Fujiwara, T.
    Matsumoto, Y.
    Kimura, A.
    Kanahori, M.
    Arisumi, S.
    Oyamada, A.
    Ohishi, M.
    Ikuta, K.
    Tsuchiya, K.
    Tayama, N.
    Tomari, S.
    Miyahara, H.
    Mae, T.
    Hara, T.
    Saito, T.
    Arizono, T.
    Kaji, K.
    Mawatari, T.
    Fujiwara, M.
    Takasaki, M.
    Shin, K.
    Ninomiya, K.
    Nakaie, K.
    Antoku, Y.
    Iwamoto, Y.
    Nakashima, Y.
    OSTEOPOROSIS INTERNATIONAL, 2023, 34 (07) : 1207 - 1221
  • [30] Geriatric nutritional risk index after neoadjuvant chemoradiotherapy and survival in older patients with advanced rectal cancer
    Amano, Takahiro
    Akiyoshi, Takashi
    Furuta, Momoko
    Saino, Yoko
    Mukai, Toshiki
    Hiyoshi, Yukiharu
    Nagasaki, Toshiya
    Yamaguchi, Tomohiro
    Kawachi, Hiroshi
    Fukunaga, Yosuke
    INTERNATIONAL JOURNAL OF COLORECTAL DISEASE, 2023, 38 (01)