| Literature DB >> 34207529 |
Paolo Bossi1,2, Paolo Delrio3, Annalisa Mascheroni4, Michela Zanetti5.
Abstract
Nutritional status in oncological patients may differ according to several modifiable and non-modifiable factors. Knowledge of the epidemiology of malnutrition/cachexia/sarcopenia may help to manage these complications early in the course of treatment, potentially impacting patient quality of life, treatment intensity, and disease outcome. Therefore, this narrative review aimed to critically evaluate the current evidence on the combined impact of tumor- and treatment-related factors on nutritional status and to draw some practical conclusions to support the multidisciplinary management of malnutrition in cancer patients. A comprehensive literature search was performed from January 2010 to December 2020 using different combinations of pertinent keywords and a critical evaluation of retrieved literature papers was conducted. The results show that the prevalence of weight loss and associated symptoms is quite heterogeneous and needs to be assessed with recognized criteria, thus allowing a clear classification and standardization of therapeutic interventions. There is a large range of variability influenced by age and social factors, comorbidities, and setting of cures (community-dwelling versus hospitalized patients). Tumor subsite is one of the major determinants of malnutrition, with pancreatic, esophageal, and other gastroenteric cancers, head and neck, and lung cancers having the highest prevalence. The advanced stage is also linked to a higher risk of developing malnutrition, as an expression of the relationship between tumor burden, inflammatory status, reduced caloric intake, and malabsorption. Finally, treatment type influences the risk of nutritional issues, both for locoregional approaches (surgery and radiotherapy) and for systemic treatment. Interestingly, personalized approaches based on the selection of the most predictive malnutrition definitions for postoperative complications according to cancer type and knowledge of specific nutritional problems associated with some new agents may positively impact disease course. Sharing common knowledge between oncologists and nutritionists may help to better address and treat malnutrition in this population.Entities:
Keywords: cachexia; cancer subtype; malnutrition; sarcopenia; stage; treatment type
Year: 2021 PMID: 34207529 PMCID: PMC8226689 DOI: 10.3390/nu13061980
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Phenotypic Criteria for malnutrition diagnosis.
| Phenotypic Criteria | ||
|---|---|---|
| Weight Loss (%) | Low Body Mass Index (kg/m2) | Reduced Muscle Mass |
| >5% within past 6 months | <20 if <70 years, or | Reduced by validated body composition measuring techniques |
Etiologic Criteria for malnutrition diagnosis.
| Etiologic Criteria | |
|---|---|
| Reduced Food Intake or Assimilation | Inflammation |
| ≤50 % of ER > 1 week, or any reduction for >2 weeks, or any chronic GI condition that adversely impacts food assimilation or absorption | Acute disease/injury or chronic disease-related |
Criteria for the severity of malnutrition staging.
| Phenotypic Criteria | |||
|---|---|---|---|
| Weight Loss (%) | Low Body Mass Index (kg/m2) | Reduced Muscle Mass | |
| Stage 1 / Moderate Malnutrition | 5–10% within past 6 months | <20 if <70 years, | Mild to moderate deficit |
| Stage 2 / Severe Malnutrition | >10% within past 6 months | <18.5 if <70 years, or | Severe deficit |
Summary of studies assessing the prevalence of malnutrition in cancer (any type) according to the tumor site.
| Study | Design | Country | Sample size | Age, years | Setting | Malnutrition Assessment | Cut off for Malnutrition | Malnutrition Prevalence (%) |
|---|---|---|---|---|---|---|---|---|
| Pressoir 2010 [ | Prospective | France | 1545 | Mean 59.3 ± 13.8 | Hospital and Outpatient Clinic | Nutricode and recommendation of the National Health Authority | Age ≤ 70 years: | Upper digestive: 49.5 |
| Bozzetti 2012 [ | Prospective | Italy | 1453 | Median 64.0 (55–71) | Outpatient | Nutritional Risk Screening (NRS 2002) | ≥3 | Oesophagus: 62.5 |
| Hebuterne 2014 [ | Prospective | France | 1903 | Mean 59.3 (13.2) | Hospital | BMI | <75 years old: <18.5 | Pancreas: 66.7 |
| Planas 2016 [ | Cross-sectional | Spain | 401 | Mean 64.6 (14) | Hospital | Nutritional Risk Screening (NRS) 2002 | NRS ≥ 3 | Gastroesophageal: 47.4 |
| Muscaritoli 2017 [ | Prospective | Italy | 1951 | Mean 62.7 (12.9) | Outpatient | Mini Nutritional Assessment (MNA) | <17 | Gastroesophageal: 40.2 |
| Li 2018 [ | Cross-sectional | China | 1138 | Mean 60.6 (14.5) | Hospital | Nutritional Risk Index (NRI) | WL > 5% in 6 months or body mass index (BMI) < 20 kg/m2 with WL > 2% | Head and Neck: 67 |
| Na 2018 [ | Prospective | 1588 | Hospital | Patient-Generated Subjective Global Assessment (PG-SGA) | B (moderately malnourished) | Esophagus: 52.9 | ||
| Marshall 2019 [ | Prospective | Australia | 1677 | Two cohorts: | Hospital or oupatients | Malnutrition Screening Tool (MST) | MST ≥ 2 (risk of malnutrition) | Breast: 19.6 and 21.5 * |
| Álvaro Sanz 2019 [ | Prospective | Spain | 295 | Median 62 (17) | Outpatient | Nutriscore | ≥5 (at nutritional risk) | Gastroesophageal: 75 |
* 2012 and 2014 surveys.