Evaluation of the Global Leadership Initiative on Malnutrition Criteria Using Different Muscle Mass Indices for Diagnosing Malnutrition and Predicting Survival in Lung Cancer Patients
- 9 May 2020
- journal article
- research article
- Published by Wiley in Journal of Parenteral and Enteral Nutrition
- Vol. 45 (3), 607-617
- https://doi.org/10.1002/jpen.1873
Abstract
Background Malnutrition is prevalent and outcome‐related in lung cancer (LC) patients, yet there are no globally accepted criteria for diagnosing malnutrition. Recently, the Global Leadership Initiative on Malnutrition (GLIM) criteria were proposed. However, the role of these criteria in prospective LC cohorts remains unclear. Methods We performed a multicenter, observational cohort study including 1219 LC patients from two institutions in China. Different anthropometric measures were compared for the assessment of reduced muscle mass (RMM) in the GLIM criteria. LASSO and multivariate Cox regressions were performed to analyze the association between the GLIM criteria and survival. Independent prognostic predictors were incorporated to develop a nomogram for individualized survival prediction and decision curve was applied to assess the clinical significance of the nomogram. Results Patients in the stage II (severe) malnutrition group diagnosed using the combined calf circumference (CC) plus body weight‐standardized hand grip strength (HGS/W) criteria had the highest hazard ratio (HR = 2.07, 95%CI = 1.50‐2.86) compared to other methods used to evaluate RMM. The GLIM criteria diagnosed malnutrition in 24% of cases (292 patients, using the CC and HGS/W criteria) and were effective for determining the nutritional status of LC patients. GLIM‐diagnosed malnutrition was an independent risk factor for survival and the malnutrition severity was monotonically associated with death hazards (P = 0.002). The GLIM nomogram showed good performance in predicting the survival of LC patients and the decision curve analysis demonstrated that the nomogram was clinically useful. Conclusion These findings support the effectiveness of GLIM in diagnosing malnutrition and predicting survival among LC patients. This article is protected by copyright. All rights reservedFunding Information
- National Basic Research Program of China (2017YFC1309200)
- National Natural Science Foundation of China (81673167)
This publication has 45 references indexed in Scilit:
- High prevalence of malnutrition and deranged relationship between energy demands and food intake in advanced non-small cell lung cancerEuropean Journal of Cancer Care, 2016
- Cancer statistics in China, 2015CA: A Cancer Journal for Clinicians, 2016
- Sarcopenia and inflammation are independent predictors of survival in male patients newly diagnosed with small cell lung cancerSupportive Care in Cancer, 2015
- Muscle function-dependent sarcopenia and cut-off values of possible predictors in community-dwelling Turkish elderly: calf circumference, midarm muscle circumference and walking speedEuropean Journal of Clinical Nutrition, 2015
- A systemic inflammation-based prognostic scores (mGPS) predicts overall survival of patients with small-cell lung cancerTumor Biology, 2014
- The Effect of Nutrition Intervention in Lung Cancer Patients Undergoing Chemotherapy and/or Radiotherapy: A Systematic ReviewNutrition and Cancer, 2013
- Multidisciplinary Team-Based Approach for Comprehensive Preoperative Pulmonary Rehabilitation Including Intensive Nutritional Support for Lung Cancer PatientsPLOS ONE, 2013
- Balancing the benefits and risks of public–private partnerships to address the global double burden of malnutritionPublic Health Nutrition, 2011
- Baseline nutritional evaluation in metastatic lung cancer patients: Mini Nutritional Assessment versus weight loss historyAnnals of Oncology, 2011
- Comparison of PG-SGA, SGA and body-composition measurement in detecting malnutrition among newly diagnosed lung cancer patients in stage IIIB/IV and benign conditionsMedical Oncology, 2010