Lower Geriatric Nutritional Risk Index and Prognostic Nutritional Index Predict Postoperative Prognosis in Patients with Hepatocellular Carcinoma

Tsukagoshi, Mariko; Araki, Kenichiro; Igarashi, Takamichi; Ishii, Norihiro; Kawai, Shunsuke; Hagiwara, Kei; Hoshino, Kouki; Seki, Takaomi; Okuyama, Takayuki; Fukushima, Ryosuke; Harimoto, Norifumi; Shirabe, Ken

doi:10.3390/nu16070940

Cited by 4 publications

(1 citation statement)

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“…This method has been recognized as a significant predictor of outcomes in diverse cancer populations, illustrating its broad applicability and reliability ( 11 ). For practical application, GNRI scores lead to the classification of patients into two primary groups: those with a GNRI < 98 form the Low-GNRI group indicating higher nutritional risk, and those with a GNRI ≥ 98 compose the High-GNRI group suggesting lower nutritional risk ( 12 – 14 ). To refine the understanding of nutritional risk gradients, GNRI scores were further segmented into three tertiles.…”

Section: Methodsmentioning

confidence: 99%

Geriatric nutritional risk index and mortality from all-cause, cancer, and non-cancer in US cancer survivors: NHANES 2001–2018

Qiu,

Wu,

Zhang

et al. 2024

Front. Oncol.

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BackgroundMalnutrition is strongly correlated with worsened treatment outcomes, reduced standard of living, and heightened mortality rates among individuals with cancer. Our research explores how the Geriatric Nutritional Risk Index (GNRI), a measure of nutritional status, relates to all-cause mortality, cancer-specific, and non-cancer mortality among middle-aged and older adult cancer patients.MethodsWe enrolled 3,253 participants aged 40 and above who were diagnosed with cancer. The data was obtained from the National Health and Nutrition Examination Survey (NHANES) dataset covering the period from 2001 to 2018, with a median follow-up duration of 83 months. According to the GNRI levels, patients in the study were classified into two distinct groups: the group with a low GNRI (<98) and the group with a high GNRI (≥ 98). We conducted a Kaplan-Meier survival analysis to assess how survival rates vary with different nutritional conditions. Multivariable Cox regression analyses were performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality, as well as cancer-specific and non-cancer-related mortality. Restricted cubic spline (RCS) analyses and subgroup evaluations were performed to augment the robustness and validity of our findings.ResultsA total of 1,171 deaths were documented, with 383 attributed to cancer, and 788 from other causes. After adjusting for potential confounders, the analysis demonstrated that, within a specified range, an elevation in the GNRI is inversely associated with mortality from all causes, cancer-specific, and non-cancer causes. Moreover, Kaplan-Meier survival curves for all-cause, cancer-specific, and non-cancer mortality distinctly showed a more pronounced decrease in survival rates among individuals in the low GNRI group (<98). Notably, the restricted cubic spline regression model (RCS) revealed statistically significant non-linear associations between GNRI scores and mortality rates. The P-values were ≤0.001 for both all-cause and non-cancer mortality, and 0.024 for cancer-specific mortality.ConclusionOur study conclusively demonstrated a robust correlation between GNRI scores and mortality rates among cancer patients, encompassing all-cause mortality as well as specific mortality related to both cancerous and non-cancerous causes. The GNRI may be a valuable prognostic tool for predicting cancer mortality outcomes, offering insights that may inform nutritional management and influence the clinical treatment strategies for cancer survivors.

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Section: Methodsmentioning

confidence: 99%