Individualized threshold of the involuntary weight loss in prognostic assessment of cancer.

BACKGROUND: Involuntary weight loss (WL) is a common symptom in cancer patients and is associated with poor outcomes. However, there is no standardized definition of WL, and it is unclear what magnitude of weight loss should be considered significant for prognostic purposes. This study aimed to determine an individualized threshold for WL that can be used for prognostic assessment in cancer patients. METHODS: Univariate and multivariate analyses of overall survival (OS) were performed using Cox proportional hazard models. The Kaplan-Meier method was performed to estimate the survival distribution of different WL levels. Logistic regression analysis was used to determine the relationship between WL and 90-day outcomes. Restricted cubic splines with three knots were used to examine the effects of WL on survival under different body mass index (BMI) conditions. RESULTS: Among the 8806 enrolled patients with cancer, median survival time declined as WL increased, from 25.1 to 20.1, 17.8 and 16.4 months at <2%, 2-5%, 5-10% and ≥10% WL, respectively (P < 0.001). Multivariate adjusted Cox regression analysis showed that the risk of adverse prognosis increased by 18.1% based on the SD of WL (5.45 U) (HR: 1.181, 95% CI: 1.144-1.219, P < 0.001). Similarly, categorical WL was independently associated with OS in patients with cancer. With the worsening of WL, the risk of a poor prognosis in patients increases stepwise. Compared with <2% WL, all-cause mortalities were 15.1%, 37% and 64.2% higher in 2-5%, 5-10%, and ≥10% WL, respectively. WL can effectively stratify the prognosis of both overall and site-specific cancers. The clinical prognostic thresholds for WL based on different BMI levels were 4.21% (underweight), 5.03% (normal), 6.33% (overweight), and 7.60% (obese). Multivariate logistic regression analysis showed that WL was independently associated with 90-day outcomes in patients with cancer. Compared with patients with <2% WL, those with ≥10% WL had more than twice the risk of 90-day outcomes (OR: 3.277, 95% CI: 2.287-4.694, P < 0.001). Systemic inflammation was a cause of WL deterioration. WL mediates 6.3-10.3% of the overall association between systemic inflammation and poor prognoses in patients with cancer. CONCLUSIONS: An individualized threshold for WL based on baseline BMI can be used for prognostic assessment in cancer patients. WL and BMI should be evaluated simultaneously in treatment decision-making, nutritional intervention, and prognosis discussions of patients with cancer.

Improving the assessment of malnutrition in cancer: Using systemic inflammation markers as a supplement to the inflammation items of the GLIM criteria.

BACKGROUND & AIMS: Systemic inflammation is a key pathogenic criterion for diagnosing malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Although cancer is commonly considered as a chronic inflammation-related disease, the inflammatory burden may vary depending on the type and stage of cancer. Therefore, a more precise definition of inflammation criteria could facilitate the identification of malnutrition in cancer. METHODS: This prospective multicenter study included 1683 cancer patients screened via NRS2002 for malnutrition risk. The inflammatory burden index (IBI), C-reactive protein (CRP) level, neutrophil-to-lymphocyte ratio (NLR), and albumin (ALB) level were used to assess the inflammatory burden. Kaplan-Meier and Cox regression analyses were used to determine the relationship between the GLIM criteria and overall survival. Harrell's concordance index (C-index) was used to compare the discriminative performance of the original, IBI-based, CRP-based, NLR-based, and ALB-based GLIM criteria for survival. Logistic regression models were used to assess the association between GLIM criteria and short-term outcomes, length of hospital stay, and hospitalization costs. RESULTS: Compared to the original GLIM criteria, the IBI/CRP/NLR/ALB-based GLIM criteria better predicted the long-term outcomes of patients with cancer (chi-square: 1.316 vs. 78.321 vs. 74.740 vs. 88.719 vs. 100.921). The C-index revealed that the inflammation marker-based GLIM criteria showed significantly better prognostic accuracy than the original GLIM criteria. The ALB-based GLIM criteria exhibited the best prognostic accuracy. The inflammation marker-based GLIM criteria were independent predictive factors for the long-term prognosis of cancer. Patients with malnutrition had a 45% higher risk of adverse long-term prognoses than those without malnutrition. The inflammation marker-based GLIM criteria had good prognostic ability to predict outcomes at 3, 6, and 12 months. The stepwise effect of the grading of severity via the IBI-based GLIM criteria and CRP-based GLIM criteria was notable. The inflammation marker-based GLIM criteria are useful for predicting short-term outcomes, length of hospitalization, and hospitalization costs. CONCLUSION: The inflammation marker-based GLIM criteria have a stronger predictive value than the original GLIM criteria in evaluating both the short- and long-term prognoses of cancer patients. It is recommended to use the inflammation marker-based GLIM criteria for nutritional evaluation of cancer patients.