Malnutrition Increases the Risk of Mortality in Hospitalized Lung Cancer Patients

Abstract: Background The Global Leadership Initiative on Malnutrition (GLIM) recently developed a new set of diagnostic criteria for identifying patients with malnutrition. Because the GLIM criteria were only introduced a little over 3 years ago, additional validation and reliability testing are needed in a variety of populations. Methods We performed an observational, multicenter cohort study. From July 2013 to October 2018, lung cancer patients were recruited from the Daping Hospital of Army Medical University and the First Hospital of Jilin University as part of the INSCOC project. Previously-established cut-off values for the calf circumference (CC, male < 30 cm, female < 29.5 cm) were applied as the reduced muscal mass of phenotypic criteria to establish the GLIM diagnosis. Multivariate Cox regression analyses were performed to analyze the association between the GLIM criteria and survival. Results A total of 1219 patients with lung cancer were studied as subjects. Their age was 58.81 ± 9.92 years old, and 820 were male and 399 were female. According to the GLIM diagnostic criteria using the CC as a muscle mass measurement, 303 patients (24.9%) were categorized as malnourished, 142 patients (23.1%) in the adult group (18 ≤ age < 60) and 161 patients (26.7%) in the older group (age ≥ 60 years). The patients with malnutrition had a higher incidence of anemia than the nourished patients (P = 0.012). The QLQ-C30 score and KPS score indicating that the malnourished patients had a consistently worse quality of life compared to the nourished group (all P < 0.001). The median survival of the malnutrition group was 42 (95% CI: 34-50) months, which was much shorter than the 62 (95% CI: 57-66) months in the nourished group (P < 0.001). In the adult group, the median survival decreased from 65 (95% CI: 55-72) months in nourished group to 34 (95% CI: 25-48) months in the patients with malnutrition (P < 0.001). In the older group, it decreased from 61 (95% CI: 55-67) months to 48 (95% CI: 39-59) months (P = 0.001). A Cox regression analysis showed that GLIM-diagnosed malnutrition was associated with an increased risk of death among adult group (HR = 1.670, 95% CI: 1.29-2.16), older group (HR = 1.332, 95% CI: 1.05-1.69) and overall (HR = 1.453, 95% CI: 1.22-1.72). Conclusion All of these results demonstrate that GLIM-diagnosed malnutrition is associated with a poorer survival for all lung cancer patients, independent of age.

[1]  Wei Li,et al.  Relationship Between Prognostic Nutritional Index and Mortality in Overweight or Obese Patients with Cancer: A Multicenter Observational Study , 2021, Journal of inflammation research.

[2]  Yin Li,et al.  Good performance of the Global Leadership Initiative on Malnutrition criteria for diagnosing and classifying malnutrition in people with esophageal cancer undergoing esophagectomy. , 2021, Nutrition.

[3]  Chang Wang,et al.  Fat mass assessment using the triceps skinfold thickness enhances the prognostic value of the Global Leadership Initiative on Malnutrition criteria in patients with lung cancer , 2021, British Journal of Nutrition.

[4]  G. Dijkstra,et al.  Bioelectrical Impedance Analysis and Mid-Upper Arm Muscle Circumference Can Be Used to Detect Low Muscle Mass in Clinical Practice , 2021, Nutrients.

[5]  E. Duarte,et al.  Malnutrition According to GLIM Criteria Is Associated with Mortality and Hospitalizations in Rehabilitation Patients with Stable Chronic Obstructive Pulmonary Disease , 2021, Nutrients.

[6]  Chang Wang,et al.  Nutritional features-based clustering analysis as a feasible approach for early identification of malnutrition in patients with cancer , 2021, European Journal of Clinical Nutrition.

[7]  Victória Silva Chites,et al.  GLIM criteria for malnutrition diagnosis of hospitalized patients presents satisfactory criterion validity: A prospective cohort study. , 2021, Clinical nutrition.

[8]  Y. Ba,et al.  Classification Tree-Based Machine Learning to Visualize and Validate a Decision Tool for Identifying Malnutrition in Cancer Patients. , 2021, JPEN. Journal of parenteral and enteral nutrition.

[9]  Y. Ba,et al.  Is hand grip strength a necessary supportive index in the phenotypic criteria of the GLIM-based diagnosis of malnutrition in patients with cancer? , 2021, Supportive Care in Cancer.

[10]  C. Santos,et al.  Nutritional Status And Functional Status Of The Pancreatic Cancer Patients And The Impact Of Adjacent Symptoms , 2020 .

[11]  Weiqi Wang,et al.  Investigation of nutritional status in Chinese patients with common cancer , 2020, SCIENTIA SINICA Vitae.

[12]  B. Laird,et al.  Comparison of the prognostic value of MUST, ECOG-PS, mGPS and CT derived body composition analysis in patients with advanced lung cancer. , 2020, Clinical nutrition ESPEN.

[13]  M. Braga,et al.  The GLIM criteria as an effective tool for nutrition assessment and survival prediction in older adult cancer patients. , 2020, Clinical nutrition.

[14]  D. McMillan,et al.  Hypoalbuminemia Reflects Nutritional Risk, Body Composition and Systemic Inflammation and Is Independently Associated with Survival in Patients with Colorectal Cancer , 2020, Cancers.

[15]  Matthias Pirlich,et al.  Global Leadership Initiative on Malnutrition (GLIM): Guidance on Validation of the Operational Criteria for the Diagnosis of Protein-Energy Malnutrition in Adults. , 2020, JPEN. Journal of parenteral and enteral nutrition.

[16]  Chang Wang,et al.  Evaluation of the Global Leadership Initiative on Malnutrition Criteria Using Different Muscle Mass Indices for Diagnosing Malnutrition and Predicting Survival in Lung Cancer Patients. , 2020, JPEN. Journal of parenteral and enteral nutrition.

[17]  A. Lyra,et al.  Comparison between criteria for diagnosing malnutrition in patients with advanced chronic liver disease: GLIM group proposal versus different nutritional screening tools. , 2020, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[18]  Yongdong Feng,et al.  Investigation on nutrition status and clinical outcome of patients with common cancers in Chinese patients: a multicenter prospective study protocol , 2020 .

[19]  F. Şahin,et al.  The effect of malnutrition on mortality in hospitalized patients with hematologic malignancy , 2019, Supportive Care in Cancer.

[20]  B. Laird,et al.  Meaningful measures in cancer cachexia: implications for practice and research. , 2019, Current opinion in supportive and palliative care.

[21]  M. Ikeda,et al.  Maximal calf circumference reflects calf muscle mass measured using magnetic resonance imaging. , 2019, Archives of gerontology and geriatrics.

[22]  A. Gossum,et al.  GLIM criteria for the diagnosis of malnutrition – A consensus report from the global clinical nutrition community , 2019, Journal of cachexia, sarcopenia and muscle.

[23]  G. Arnaldi,et al.  Ultrasound-based detection of glucocorticoid-induced impairments of muscle mass and structure in Cushing’s disease , 2018, Journal of Endocrinological Investigation.

[24]  T. Amaral,et al.  Undernutrition risk at hospital admission and length of stay among pulmonology inpatients. , 2018, Pulmonology.

[25]  René Rizzoli,et al.  Sarcopenia: revised European consensus on definition and diagnosis , 2018, Age and ageing.

[26]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[27]  R. Guleria,et al.  High prevalence of malnutrition and deranged relationship between energy demands and food intake in advanced non‐small cell lung cancer , 2017, European journal of cancer care.

[28]  Cheng-Le Zhuang,et al.  Sarcopenia is an Independent Predictor of Severe Postoperative Complications and Long-Term Survival After Radical Gastrectomy for Gastric Cancer , 2016, Medicine.

[29]  A. Jemal,et al.  Cancer statistics in China, 2015 , 2016, CA: a cancer journal for clinicians.

[30]  J. Durrieu,et al.  One-Year Mortality in Older Patients with Cancer: Development and External Validation of an MNA-Based Prognostic Score , 2016, PloS one.

[31]  Guoxing Zhang,et al.  Incidence and risk factor analysis for sarcopenia in patients with cancer. , 2016, Oncology letters.

[32]  C. Prado,et al.  Cancer-associated malnutrition, cachexia and sarcopenia: the skeleton in the hospital closet 40 years later , 2016, Proceedings of the Nutrition Society.

[33]  J. Faintuch,et al.  Is the skeleton still in the hospital closet? A review of hospital malnutrition emphasizing health economic aspects. , 2015, Clinical nutrition.

[34]  I. Tabata,et al.  Calf circumference as a surrogate marker of muscle mass for diagnosing sarcopenia in Japanese men and women , 2015, Geriatrics & gerontology international.

[35]  J. Eisman,et al.  Nutritional risk profile in a university hospital population. , 2015, Clinical nutrition.

[36]  A. Gossum,et al.  Diagnostic criteria for malnutrition - An ESPEN Consensus Statement. , 2015, Clinical nutrition.

[37]  A. Fiorelli,et al.  The Influence of Body Mass Index and Weight Loss on Outcome of Elderly Patients Undergoing Lung Cancer Resection , 2014, Thoracic and Cardiovascular Surgeon.

[38]  G. Onder,et al.  Calf circumference, frailty and physical performance among older adults living in the community. , 2014, Clinical nutrition.

[39]  G. Jensen,et al.  Consensus statement: Academy of Nutrition and Dietetics and American Society for Parenteral and Enteral Nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). , 2012, JPEN. Journal of parenteral and enteral nutrition.

[40]  B. Han,et al.  Comparison of PG-SGA, SGA and body-composition measurement in detecting malnutrition among newly diagnosed lung cancer patients in stage IIIB/IV and benign conditions , 2011, Medical oncology.

[41]  A. Forbes,et al.  Adult starvation and disease-related malnutrition: a proposal for etiology-based diagnosis in the clinical practice setting from the International Consensus Guideline Committee. , 2010, JPEN. Journal of parenteral and enteral nutrition.

[42]  F. Bozzetti,et al.  Screening the nutritional status in oncology: a preliminary report on 1,000 outpatients , 2009, Supportive Care in Cancer.

[43]  R. Johnson VOLUME 7, NUMBER 1 , 2005, Graduate Journal of Food Studies.

[44]  T. Eisen,et al.  Do patients with weight loss have a worse outcome when undergoing chemotherapy for lung cancers? , 2004, British Journal of Cancer.

[45]  L. Rubenstein,et al.  The Mini Nutritional Assessment-Short Form for preoperative nutritional evaluation of elderly patients , 2001, Aging.

[46]  M. Osler,et al.  The ‘Mini Nutritional Assessment’ (MNA) and the ‘Determine Your Nutritional Health’ Checklist (NSI Checklist) as predictors of morbidity and mortality in an elderly Danish population , 1999, British Journal of Nutrition.

[47]  C. Butterworth [The skeleton in the hospital closet. 1974]. , 1994, Nutricion hospitalaria.

[48]  D. Osoba,et al.  The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. , 1993, Journal of the National Cancer Institute.

[49]  Joseph R. Bertino,et al.  Prognostic effect of weight loss prior to chemotherapy in cancer patients. Eastern Cooperative Oncology Group. , 1980, The American journal of medicine.

[50]  C. Begg,et al.  Prognostic effect of weight loss prior to chemotherapy in cancer patients. Eastern Cooperative Oncology Group. , 1980, The American journal of medicine.

[51]  G. Blackburn,et al.  Protein status of general surgical patients. , 1974, JAMA.

[52]  C. Butterworth The Skeleton in the Hospital Closet , 1974, Nutrition.

[53]  A. Gossum,et al.  GLIM Core Leadership Committee, GLIM Working Group. GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community. , 2019 .

[54]  Saoussen Bacha,et al.  Impact of malnutrition in advanced non-small cell lung cancer. , 2018, La Tunisie medicale.

[55]  Lisa Martin,et al.  Diagnostic criteria for the classification of cancer-associated weight loss. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[56]  F. Ottery,et al.  Definition of standardized nutritional assessment and interventional pathways in oncology. , 1996, Nutrition.

[57]  A S Detsky,et al.  What is subjective global assessment of nutritional status? , 1987, JPEN. Journal of parenteral and enteral nutrition.