Elsevier

Lung Cancer

Volume 84, Issue 1, April 2014, Pages 1-6
Lung Cancer

Review
Clinically relevant determinants of body composition, function and nutritional status as mortality predictors in lung cancer patients

https://doi.org/10.1016/j.lungcan.2014.01.020Get rights and content

Abstract

Lung cancer belongs to the type of tumors with a relatively high frequency of malnutrition, sarcopenia and cachexia, severe metabolic syndromes related to impairment of physical function and quality of life, resistance to therapy and short survival. Inexpensive and accessible methods of evaluating changes in body composition, physical function and nutrition status are for this reason of great importance for clinical practice to enable the early identification, monitoring, preventing and treatment of these nutritional deficiencies. This could lead to improved outcomes in the quality of life, physical performance and survival of patients with lung cancer. The aim of this article is to summarize the recent knowledge for the use of such methods, their predictability for patient outcomes and an association with other clinically relevant parameters, specifically with lung cancer patients, because such an article collectively describing their practical application in clinical practice is lacking. The interest of this article is in the use of anthropometry, handgrip dynamometry, bioelectrical impedance analysis derived phase angle and nutritional screening questionnaires in lung cancer patients.

Introduction

Many serious illnesses (e.g. cancer, sepsis or AIDS) are associated with a severe metabolic syndrome called cachexia. The important clinical symptoms include involuntary weight loss accompanied by sarcopenia (skeletal muscle wasting and weakness), fatigue, anorexia, metabolic imbalance and signs of systemic inflammation. Cachexia cannot be fully reversed by conventional nutrition support [1].

In recent years, the staging of cachexia has occurred. An international panel of experts have created a three-stage classification specific for cancer cachexia: precachexia, cachexia and refractory cachexia. Precachexia is a state characterized by early clinical signs and metabolic disturbances preceding substantial weight loss. The criteria for cachexia are considerable body weight loss (more than 5% over the past 6 months) or a body mass index (BMI) of less than 20 in combination with weight loss (more than 2% over the past 6 months) or sarcopenia (appendicular skeletal muscle index determined by dual energy X-ray absorptiometry of lower than 7.26 and 5.45 kg m−2 in men and women, respectively) in combination with body weight loss (more than 2% over the past 6 months), but have not entered the refractory stage. Refractory cachexia is a stage characterized by low performance status and low life expectancy (less than 3 months) due to very advanced or rapidly progressive cancer that is unresponsive to therapy [2], [3].

Lung cancer belongs to the type of tumors with a relatively high frequency of malnutrition, sarcopenia and cachexia, as demonstrated by the result of recent works. According to the Mini Nutrition Assessment (MNA), 26% of patients with advanced non-small cell lung carcinoma (NSCLC) were malnourished and another 46% of patients were at risk of malnutrition [4]; according to Subjective Global Assessment (SGA), 60% of patients were malnourished [5]. Prado et al. demonstrated that the majority of overweight NSCLC patients (more than 53%) were sarcopenic [6]. According to cancer-specific cachexia classifications (as mentioned above), 18% of NSCLC patients were diagnosed as cachectic, 23% of patients were diagnosed as in a state of precachexia [7].

Cachexia and muscle wasting are related to the impairment of physical function [8], quality of life [5], resistance to therapy [9] and shorter survival rate [10]. Early identification, monitoring, prevention and treatment of these nutritional deficiencies could lead to improved outcomes in the quality of life, physical performance and survival of patients with NSCLC. There are several inexpensive and accessible methods of evaluating changes in body composition, physical function and nutritional status including anthropometry, handgrip dynamometry, bioelectrical impedance analysis derived phase angle and nutritional screening questionnaires. The aim of this article is to summarize the recent knowledge of the use of these methods, their predictability of patient outcomes and the association of other clinically relevant parameters, specifically with lung cancer patients. Such an article collectively describing their practical application in clinical practice is lacking.

Section snippets

Basic anthropometric parameters

For a relatively long time weight loss has been known as an important prognostic factor in lung cancer patients [11], [12]. Perhaps the first work of trying to determine the prognostic value of basic anthropometric parameters like triceps skinfold thickness (TST), arm and wrist circumference and their association with clinical and biochemical parameters in NSCLC patients were the study of Ferrigno and Buccheri [13]. The statistical analysis proved an association of all three determined

Handgrip dynamometry

From a variety of methods to assess muscle strength, handgrip dynamometry has been shown to be a reliable and valid method, with benefits as being simple, fast performance and inexpensive. There is also growing evidence that handgrip strength is associated with nutritional and functional status, body composition, inflammation and predicts the survival rate of both healthy persons and persons with several clinical conditions like elderly persons, chronic inflammation and cancer [8], [23], [24].

Bioelectrical impedance analysis derived phase angle

Bioelectrical impedance analysis (BIA) is a method that has been used for more than 20 years to estimate body composition, both in healthy persons and in a variety of patient populations including cancer patients [31], [32]. BIA is based upon a conductance of an alternate electrical current through body fluids. Whole-body impedance is a combination of resistance (opposition offered by the body to the flow of an alternate electrical current, primarily related to the amount of water present in

Nutritional screening questionnaires

To screen and assess malnutrition, several nutritional screening questionnaires combining objective and subjective parameters were developed e.g. the SGA, the Patient generated SGA (PG-SGA), MNA or Nutritional risk screening 2002 [44], [45], [46].

Summary

This article illustrates the clinical relevance of methods like anthropometry, handgrip dynamometry, bioelectrical impedance analysis derived phase angle and nutritional screening questionnaires to predict the outcome of lung cancer patients based on the results of many recent works. These methods should undergo further research which could improve their further use in clinical practice.

Conflict of interest statement

The authors declare that they have no conflict of interest.

Acknowledgements

The authors are grateful to Lucie Vitkova for language correction. The work was supported by MH CZ–DRO (UHHK, 00179906), PRVOUK P40 and UNCE 204026/2012.

References (57)

  • K. Norman et al.

    Bioelectrical phase angle and impedance vector analysis—clinical relevance and applicability of impedance parameters

    Clin Nutr

    (2012)
  • S. Toso et al.

    Altered tissue electric properties in lung cancer patients as detected by bioelectric impedance vector analysis

    Nutrition

    (2000)
  • M.C. Barbosa-Silva et al.

    Bioelectrical impedance analysis: population reference values for phase angle by age and sex

    Am J Clin Nutr

    (2005)
  • K. Norman et al.

    Cutoff percentiles of bioelectrical phase angle predict functionality, quality of life, and mortality in patients with cancer

    Am J Clin Nutr

    (2010)
  • F.D. Ottery

    Definition of standardized nutritional assessment and interventional pathways in oncology

    Nutrition

    (1996)
  • J. Kondrup et al.

    Educational and Clinical Practice Committee, European Society of Parenteral and Enteral Nutrition (ESPEN). ESPEN guidelines for nutrition screening 2002

    Clin Nutr

    (2003)
  • G. Isaia et al.

    Malnutrition in an elderly demented population living at home

    Arch Gerontol Geriatr

    (2011)
  • A.A. Aaldriks et al.

    Frailty and malnutrition predictive of mortality risk in older patients with advanced colorectal cancer receiving chemotherapy

    J Geriatr Oncol

    (2013)
  • I. Gioulbasanis et al.

    Mini Nutritional Assessment (MNA) and biochemical markers of cachexia in metastatic lung cancer patients: interrelations and associations with prognosis

    Lung Cancer

    (2011)
  • K. Sánchez-Lara et al.

    Association of nutrition parameters including bioelectrical impedance and systemic inflammatory response with quality of life and prognosis in patients with advanced non-small-cell lung cancer: a prospective study

    Nutr Cancer

    (2012)
  • C.M. Prado et al.

    Sarcopenia and physical function in overweight patients with advanced cancer

    Can J Diet Pract Res

    (2013)
  • B.S. van der Meij et al.

    Pre-cachexia and cachexia at diagnosis of stage III non-small-cell lung carcinoma: an exploratory study comparing two consensus-based frameworks

    Br J Nutr

    (2013)
  • D.J. Brown et al.

    The correlation between fatigue, physical function, the systemic inflammatory response, and psychological distress in patients with advanced lung cancer

    Cancer

    (2005)
  • A. Mohan et al.

    Effect of change in symptoms, respiratory status, nutritional profile and quality of life on response to treatment for advanced non-small cell lung cancer

    Asian Pac J Cancer Prev

    (2008)
  • G. Buccheri et al.

    Prognostic factors in lung cancer: tables and comments

    Eur Respir J

    (1994)
  • D. Ferrigno et al.

    Anthropometric measurements in non-small-cell lung cancer

    Support Care Cancer

    (2001)
  • R.F. Tartari et al.

    Measurement of mid-arm muscle circumference and prognosis in stage IV non-small cell lung cancer patients

    Oncol Lett

    (2013)
  • M.A. McDowell et al.

    Anthropometric reference data for children and adults: U.S. population, 1999–2002

    Adv Data

    (2005)
  • Cited by (47)

    • Phase angle measured by bioelectrical impedance analysis and the risk of cardiovascular disease among adult Danes

      2021, Nutrition
      Citation Excerpt :

      Thus, monitoring and evaluating nutritional status in relation to the risk of CVD is important. Phase angle (PhA) is an index obtained from bioelectrical impedance analysis parameters [4], and has been used as a predictor of cellular function and health in the monitoring of patients who are at risk of impaired nutritional status [5], and has shown its potential for clinical assessment in adult patients in various disease states [6–10]. For instance, among adult men diagnosed with chronic liver disease (range, 41–79 y), low PhA values (calculated at 50 kHz) between 4.0° and 6.9° are considered to reflect malfunction of cells that compromises the integrity of the cell membrane and cellular fluid balance [11].

    • Muscle derangement and alteration of the nutritional machinery in NSCLC

      2019, Critical Reviews in Oncology/Hematology
      Citation Excerpt :

      Nevertheless, these patients continue to face relevant nutritional and metabolic consequences, related both to illness process and to treatment-induced adverse events. Reports from the literature show that patients with NSCLC present a high incidence of malnutrition at diagnosis, with weight loss happening in 54% of them at disease presentation (Tan and Fearon, 2008; Kovarik et al., 2014). Moreover, the nutritional status depletion is not a problem experienced only upon diagnosis, but is also commonly reported during chemotherapy, radiotherapy and, mainly, concurrent chemo-radiotherapy.

    View all citing articles on Scopus
    View full text