Nutritional Status of Cancer Patients: A Unicenteric Report from Iran
Ali Milani-Bonab; PhD 4 & Arezoo Haghighian-Roudsari; PhD *5
1Laboratory of Physiology and Pharmacology, School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
2 Institute of Nutrition Sciences, Kagawa Nutrition University, Saitama, Japan.
3 Department of Clinical Oncology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
4 Food and Nutrition Policy and Planning Research Department, School of Nutrition and Food Sciences, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
5 Department of Community Nutrition, School of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Science, Tehran, Iran.
ARTICLE INFO |
|
ABSTRACT |
ORIGINAL ARTICLE |
Background: Considering the incidence of malnutrition, a multidisciplinary approach with targeted nutrition is vital to improve the quality of care in cancer patients. This study aimed to investigate the overall nutritional status of Iranian cancer patients. Methods: This cross-sectional study in 70 cancer patients was conducted in Shohada-e Tajrish Hospital from February to April 2019. The cancer patients were assessed by demographics and Scored Patient-Generated Subjective Global Assessment (PG-SGA) utilized as a common tool to evaluate the nutritional status of patients with different types of cancer. Results: Overall, 20.0% and 70.0% of the patients had normal body mass index (BMI) and overweight/obese, respectively. Moreover, 30.0% and 60.0% of the participants reported poor and normal intake, respectively. Males were more affected by malnutrition. Approximately 8.0% of the participants lost more than 10.0% of their weight; however, a vast majority of the patients maintained their weight. Conclusion: The high prevalence of malnutrition among the studied cancer patients demonstrated the necessity of nutritional care to improve possible malnutrition for better treatment results. Keywords: Malnutrition; Cancer; Patient-generated subjective global assessment |
|
Article history: Received: 19 Mar 2021 Revised: 15 May 2021 Accepted: 15 May 2021 |
||
*Corresponding author: ahaghighian@yahoo.com Department of Community Nutrition, School of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Science, Tehran, Iran. Postal code: 19395-4741 Tel: +98 912-6015661 |
Introduction
Cancer is one of the major causes of death worldwide and the risk of developing cancer is increasing in both developed and developing countries (Akbari et al., 2017, Ferlay et al., 2015). Cancer has become the second-largest group of chronic non-communicable diseases and the third most common cause of death after heart diseases, accidents, and other natural phenomena (Farhood et al., 2018). Cancer is one of the leading causes of death globally, with about 10 million deaths in 2020 (Ferlay J et al., 2020). It has been expected that the number of new cancer cases will rise as many as 23.6 million/year by 2030 due to tobacco and alcohol use, unhealthy diet, physical inactivity, air pollution, some chronic infections, and other risk factors of cancers (Boyle and Levin, 2008, World Health Organization, 2021).
Cancer patients undergo several treatments depending on the type and the stage of
cancer, including surgery, radiotherapy, and pharmacological therapy, and experiencing various side effects that may negatively affect dietary intakes, such as loss of appetite, change in taste, vomiting, nausea, malabsorption of nutrients, and fatigue (Arends et al., 2017, Rakhsha et al., 2019). These side effects may put patients at risk of inadequate nutrient intakes, resulting in the development of malnutrition during or even after completion of the treatment. Furthermore, the tumor site and its proximity to the alimentary tract may have direct nutritional implications. Malnourished cancer patients have been reported to be 15 – 20 % at the time of cancer diagnosis and increased up to 85 – 90% at the time of the terminal stage (Virizuela et al., 2018). In addition, while approximately 20 – 60% of hospitalized patients have been reported to suffer from malnutrition at the time of admission (Baxter et al., 2014, Saka et al., 2011), cancer patients are more likely to be malnourished compared to non-cancer patients (Arends et al., 2017). The risk of malnutrition has been suggested to increase
with metabolic complications and prolonged hospitalization. Since malnutrition may further increase risks of infectious diseases, side effects from treatments, and mortality, its early diagnosis is important (Löser, 2010). A literature review by (Alberti et al., 2020) shows that The Brazilian Survey of Oncological Nutrition found that 45.1% of the evaluated cancer patients had some degree of malnutrition. Also, 19–68.75% of patients following gastrointestinal surgery suffer from malnutrition (Wan et al., 2020). Moreover, the result of this study showed that nutritional status purposefully affects the long-term prognosis and quality of life of gastrointestinal cancer patients.
A multidisciplinary approach to care, including effective nutritional screening, assessment, and intervention has demonstrated improved outcomes in various terms. The improvements are regarding nutritional requirements, nutritional status, and quality of life in cancer patients (Kristensen et al., 2020). Thus, the importance of investigating the nutritional status of these patients is that early management of malnutrition could improve drug tolerance, and increase the health-related quality of life (Molina-Garrido, 2020).
Despite the importance of nutrition in cancer patients, there is limited evidence among Iranian patients. Understanding the nutritional status of Iranian cancer patients may result in the implementation of strategies to improve malnourished patients. This may result in the reduction of side effects during and after the treatment and also improvement of their quality of life.
The primary aim of this article was to investigate the nutritional status of cancer patients hospitalized in a hospital in Tehran, Iran, to provide tailored recommendations to improve the nutritional status of the cancer patients.
Materials and methods
Study setting: A cross-sectional study was conducted at the oncology department of Shohada-e Tajrish Hospital, one of the main cancer centers in Iran. The study was conducted from February 2019 to April 2019.
Participants: A total of 70 patients participated in the study. All patients diagnosed with cancer regardless of gender, type, and stage admitted to Shohada-e Tajrish Hospital, were included in the study. The participants included cancer patients who were receiving cancer-directed treatments or were on follow-up care after treatment. The exclusion criteria included patients with difficulty with oral nutrition and those who were severely ill to understand or respond and had no accompanying person who could answer the questionnaires. Before the assignment of the treatment groups, written informed consent and a statement confirming to publish was obtained from the patients.
The PG-SGA was utilized as a common tool to evaluate the nutritional status of the patients with different types of cancer (Jager-Wittenaar and Ottery, 2017). It was adapted from the Subjective Global Assessment (SGA), an essential clinical assessment method proposed by Detsky et al. in 1987 and recently modified and validated by Ottery et al. in 2017 (Detsky et al., 1987, Jager-Wittenaar and Ottery, 2017). The tool was recommended as the standard for nutrition assessment in cancer patients by the Oncology Nutrition Dietetic Practice Group of the American Dietetic Association and it has been recognized as the standard and best interdisciplinary patient assessment in oncology and other chronic catabolic conditions (Bauer et al., 2002).
mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN">PG-SGA consists of seven sections that gather patients’ data on 1) current and past weight status: withmso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi"> major-bidi;mso-bidi-theme-font:major-bidi">a maximum score equal to 5 points (pts) that up to 4 pts from weight loss + up to 1 point for the past 2 weeks;mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN"> 2) changes in food intakes: the smso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi">core how the patient self-rates his/her intake during the past month that helps to address recent deficit / current risk. This score is not additive with a maximum score equal to 4 that use the highest score checkedmso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN">; 3) nutrition impact symptom: anymso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi"> major-bidi;mso-bidi-theme-font:major-bidi">symptoms that patient reports (checks off) that have kept them from eating enough during the past 2 weeks is scored. The total score of this section is the sum of the patient complaintsmso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN">; 4) activities and function: mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi">patient rates his/her activity level over the past month regardless of the cause – inadequate intake, metabolic stress (corticosteroids, fever, inflammation, trauma) or significant inactivitymso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN">; 5) disease and its relation to nutritional requirements, such as fever and steroid use, cancer, AIDS, trauma, and age above 65 years and the total score is additive; 6) metabolic demand: score for metabolic stress is determined by some of the variables known to increase protein and calorie needs. The score is additive, so that a patient who has a fever of > 38.9oc degrees (3 points) and is on 10 mg of prednisone chronically (2 points) would have an additive score for this section of 5 points; 7) physical exam: includes a subjective evaluation of 3 aspects of body composition, including fat, muscle, and fluid status. Since this is subjective, each aspect of the exam is rated for the degree of deficit. Muscle deficit impacts point to score more than the fat deficit (definition of categories: 0 = no deficit, 1+ = mild deficit, 2+ = moderate 3+ = severe).
mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN">Health professionals, including doctors, nurses, and dietitians completed the last section. The maximum point score for a physical exam was only 3 points and there will be no decrease by more than 1 point.
mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN">The scores in the previous seven sections were summarized and interpreted as follows:
§ mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:major-bidi;mso-ansi-language:
EN">Global assessment categoriesmajor-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:major-bidi;
mso-ansi-language:EN"> which classified patients into three statuses, including well-nourished, moderate/suspected malnourished, and severely malnourished. This classification was based on some indices, including weight status, food intake, nutrition impact symptoms, functioning, and physical exam
§ mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:major-bidi;mso-ansi-language:
EN">Nutritional triage recommendationsmso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN"> that their score was the sum of all seven sections scores. The additive score was used to define specific nutritional interventions, including patient and family education, symptom management, including pharmacologic intervention, and appropriate nutrient intervention (food, nutritional supplements, enteral, or parenteral triage). Triage was based on PG-SGA score, so that in the score of 0-1, no intervention was required at this time and re-assessment on a routine and regular basis during treatment. In the score of 2-3, patient and family education was required by the dietitian, nurse, or other clinicians with pharmacologic intervention as indicated by symptom survey. The score of 4-8 necessitated the intervention by the dietitian, in conjunction with nurse or physician as indicated by symptoms and finally, the score
of > 9 indicated a critical need for improved symptom management, and/or nutrient intervention options. mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi">In the current study, a Persian version, which was translated by a group of nutritionists, surgeons, and oncologists,mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN"> was utilized mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN">(Khoshnevis et al., 2012)mso-ascii-theme-font:major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:
major-bidi;mso-ansi-language:EN">.major-bidi;mso-hansi-theme-font:major-bidi;mso-bidi-theme-font:major-bidi">
Ethical considerations: This research was approved by the Institute of Nutrition Research and Food Industry of the country (Ethics Identification number: IR. SBMU.NNFTRI.REC.1398.013). Written informed consent was attained from patients to complete the questionnaire and physical exams.
Data analysis: All statistical analysis was conducted using the SPSS program (version 21.0, SPSS Inc, Chicago, IL). Demographic information was expressed as number and percentage or mean ± standard deviation (SD). Categorical variables were analyzed using the Chi-squared test. Two-tailed Spearman correlation coefficients were used to assess correlations. Mann-Whitney U test was used to evaluate associations between parameters of nutritional status and clinical characteristics namely weight loss, food intake, nutrition impact symptoms, functioning, and physical exams. Between-group comparisons were performed by one-way analysis of variance for continuous variables, with Bonferroni or Dunn adjustment for multiple comparisons. A multivariate general linear model was used to identify variables related to nutritional status. All associations and correlations were adjusted for potentially confounding variables (e.g., age, sex, and the number of patients). All analyses were based on a significance level of 0.05 for the p-value.
Results
The demographic characteristics of the participants are shown in Table 1. Thematic and data saturation was issued upon 21 and 32 cases, respectively. Therefore, the sample size was considered adequate for this qualitative study. The majority of participants were females (72.9%) and married. Only 20.0% had BMI within the acceptable range and 70.0% had their BMI either in overweight or obese categories. In addition, while 17.0% of the participants were illiterate and 58.6% were working as a homemaker, more than 65.0% reported that their income is insufficient.
Participants’ status regarding cancers, including types and time of diagnosis, are shown in Table 2. About half of the participants had female-specific cancers, such as cervical, breast, ovarian cancers (47.1%) followed by cancers in the gastrointestinal tract (27.1%). A vast majority of participants reported that their cancers were diagnosed more than eight weeks of their participation in the project (92.9%) and more than 70% were under chemotherapy (71.4%).
Table 1. Demographic characteristics of the participants. |
||
|
|
|
Variables |
Description |
Number of patients (Total %) |
Body mass index |
Underweight Normal weight Overweight Obese |
1 (1.4) 20 (28.6) 35 (50.0) 14 (20.0) |
Living situation |
Alone With spouse With spouse and children With children With family members |
4 (5.7) 10 (14.3) 38 (54.3) 11 (15.7) 7 (10.0) |
Education |
Illiterate Literate Diploma University |
12 (17.1) 26 (37.1) 21 (30.0) 11 (15.7) |
Job status |
Employed Self-employed Retired Homemaker Unemployed |
7 (10.0) 2 (2.9) 12 (17.1) 41 (58.6) 8 (11.4) |
Resource of family income |
Monthly salary Retirement pension Income from personal assets/income without work Covered by relatives' help Others |
20 (28.6) 21 (30.0) 4 (5.7) 12 (17.1) 13 (18.6) |
Adequacy of income |
Insufficient Low (as much as family expenses) Sufficient |
46 (65.7) 19 (27.1) 5 (7.1) |
Marital status |
Single Married Divorced Widow |
6 (8.6) 49 (70.0) 3 (4.3) 12 (17.1) |
Table 2. Details of cancers possessed by patients. |
||
|
|
|
Details |
Description |
Number of patients (%) |
Site of cancers |
GI tract (e.g. esophagus, stomach, intestine, liver, and pancreas) Urinary (kidney, Gallbladder, and urinary tract) Female-specific (e.g. cervix, uterine, ovary, and breast) Male-specific (e.g. testicles and prostate) Lung Hematology (e.g. lymphoma, leukemia) Others |
19 (27.1) 4 (5.7) 33 (47.1) 4 (5.7) 2 (2.9) 4 (5.7) 4 (5.7) |
Time of diagnosis |
Less than 2 weeks ago 2-3 weeks ago 4-8 weeks ago More than 8 weeks (2 month) |
0 (0.0) 2 (2.9) 3 (4.3) 65 (92.9) |
Current treatment |
Surgery Chemotherapy Radiotherapy Chemotherapy and radiotherapy No treatment |
4 (5.7) 50 (71.4) 5 (7.1) 5 (7.1) 6 (8.6) |
Nutritional status obtained from the PG-SGA indicated that, while about 8.0% of the participants lost more than 10.0% of their weight, a vast majority of them maintained their weight (Table 3). Although about 30.0% of the participants reported that they eat less, more than 60.0% of the participants did not report any problems with their food intake. While more than 40.0% of the participants reported odd taste, dry mouth, and pain, more than 30.0% expressed nausea and feeling of a full stomach. In addition, more than 40.0% expressed that they spend most of the day bedridden and have a minimum amount of physical activity. Based on the PG-SGA results, less than 30.0% of the participants were considered well-nourished. More males were classified as either suspected or severe malnutrition compared to females (Figure 1).
Table 3. Clinical characteristics affecting patients’ nutritional status. |
||
|
|
|
Clinical characteristics |
Descriptions |
Number of patients (Total %) |
Weight Loss |
0-1.9 % 2-2.9 % 3-4.9 % 5-9.9 % 10% or greater |
50 (71.4) 2 (2.9) 4 (5.7) 8 (11.4) 6 (8.6) |
Food Intake |
Normal foods but less than usual Solid foods in small quantities Only liquid foods Only nutrient supplements Any food in small quantities Tube feeding or total parenteral nutrition |
45 (64.3) 1 (1.4) 6 (8.6) 0 (0.0) 18 (25.7) 0 (0.0) |
Nutrient Impact symptoms |
Vomiting Diarrhea Dry mouth Smells bother Things taste funny or have no taste Pain Anorexia Nausea Constipation Mouth sores Problems swallowing Feel full quickly Others (such as depression and oral problems) |
14 (20.0) 16 (22.9) 31 (44.3) 26 (37.1) 15 (21.4) 34 (48.6) 28 (40.0) 20 (28.6) 24 (34.3) 10 (14.3) 2 (2.9) 9 (12.9) 21 (30.0) |
Functioning |
Normal with no limitation Not my normal self, but able to be up and about with fairly normal activities Not feeling up to most things, but in bed or chair less than half the day Able to do limited activities and spend most of the day in bed or chair pretty much bedridden, rarely out of bed |
18 (25.7) 12 (17.1) 9 (12.9) 31 (44.3) |
Physical exam |
No deficiency Mild deficiency Moderate deficiency Severe deficiency |
33 (47.1) 20 (28.6) 13 (18.6) 4 (5.7) |
Figure 1. Nutrition status distribution in males and females. |
Table 4 reveals that the only factor that significantly affects the nutritional status is the type of treatment. The rate of malnutrition is significantly higher in patients that received both radiotherapy and chemotherapy. People who needed critical nutritional care included the age group of over 64 years, single people, and those who lived alone.
Table 4. Subjective global assessment (SGA) and nutrition triage recommendation in patients by age, and other demographic characteristics. |
|||||||
|
|
|
|
|
|||
Variables |
Subjective Global Assessment (SGA) |
p-valuea |
Nutrition triage recommendation |
P-value |
|||
Well-nourished |
Moderate/severe malnutrition |
Nutrition education |
Symptom management /nutrition counseling |
Critical nutrition care |
|||
Age groups (year) < 40 40 – 64 ≥ 60 |
2 (14.3) 13 (29.5) 3 (25.0) |
12 (85.7) 31 (70.5) 9 (75.0) |
0.52 |
1 (7.1) 1 (2.3) 0 (0.0) |
2 (14.3) 13 (29.5) 1 (8.3) |
11 (78.6) 30 (68.2) 11 (91.7) |
0.34 |
Marital status Single Married Divorced Widow |
1 (16.7) 11 (22.4) 1 (33.3) 5 (41.7) |
5 (83.3) 38 (77.6) 2 (66.7) 7 (58.3) |
0.52 |
0 (0.0) 1 (2.0) 0 (0.0) 1 (8.3) |
1 (16.7) 11 (22.4) 2 (66.7) 2 (16.7) |
5 (83.3) 37 (75.5) 1 (33.3) 9 (75.0) |
0.51 |
Education Illiterate Literate Diploma University |
4 (33.3) 7 (26.9) 5 (23.8) 2 (18.2) |
8 (66.7) 19 (73.1) 16 (76.2) 9 (81.8) |
0.86 |
0 (0.0) 1 (3.8) 0 (0.0) 1 (9.1) |
3 (25.0) 5 (19.2) 7 (33.3) 1 (9.1) |
9 (75.0) 20 (76.9) 14 (66.7) 9 (81.8) |
0.55 |
Living condition Alone Not alone |
1 (25.0) 17 (25.8) |
3 (75.0) 49 (74.2) |
0.72 |
0 (0.0) 2 (3.0) |
1 (25.0) 15 (22.7) |
3 (75.0) 49 (74.2) |
0.93 |
Cancer site Gastro-intestinal Urinary tract Female cancer Male cancer Lung Leukemia, lymphoma Others |
4 (21.1) 2 (50.0) 10 (30.3) 2 (50.0) 0 (0.0) 0 (0.0) 0 (0.0) |
15 (78.9) 2 (50.0) 23 (69.7) 2 (50.0) 2 (100) 4 (100) 4 (100) |
0.36 |
1 (5.3) 0 (0.0) 1 (3.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) |
3 (15.8) 1 (25.0) 6 (18.2) 1 (25.0) 0 (0.0) 2 (50.0) 3 (75.0) |
15 (78.9) 3 (75.0) 26 (78.8) 3 (75.0) 2 (100) 2 (50.0) 1 (25.0) |
0.60 |
Time to diagnosis Less than 8 weeks More than 8 weeks |
2 (40.0) 16 (24.6) |
3 (60.0) 49 (75.4) |
0.38 |
0 (0.0) 2 (3.1) |
1 (20.0) 15 (23.1) |
4 (80.0) 48 (73.8) |
0.90 |
Current treatment Surgery Chemotherapy Radiotherapy Chemotherapy and Radiotherapy |
2 (50.0) 11 (22.0) 1 (20.0) 1 (20.0) |
2 (50.0) 39 (78.0) 4 (80.0) 4 (.080) |
0.63 |
0 (0.0) 1 (2.0) 0 (0.0) 0 (0.0) |
2 (50.0) 8 (16.0) 4 (80.0) 0 (0.0) |
2 (50.0) 41 (82.0) 1 (20.0) 5 (100) |
0.02 |
a Chi-square test. |
Discussion
Nutritional and metabolic derangements are frequent in cancer patients that may affect their prognosis (Akbari et al., 2019, Martin et al., 2015). Advances in the understanding of the status of malnutrition and its related risk factors can result in its improvement among cancer patients. In a meta-analysis of 117 cohort studies, adherence to a high-quality diet and western diet significantly decreased and increased the overall rate of mortality among cancer patients (Schwedhelm et al., 2016).
To the best of the authors’ knowledge, this was the first study in Iran to examine the nutritional status of cancer patients regardless of gender, types, and stages, to classify them to decide on different treatments and preventive intervention measures using the PG-SGA tool, which is considered as the best standard questionnaire used in oncologic patients’ nutritional status (Bauer et al., 2002, Isenring et al., 2006).
Conducting this hospital-based cross-sectional study on 70 cancer patients with diverse diagnoses showed a high prevalence of an inadequate nutritional status. The participants enrolled in the study comprised cancer patients who had undergone surgery, radiotherapy, pharmacological therapy or a combination of these or had completed treatment and were on follow-up care. The participants were based on a reference from the oncologists and were included in the study based on a diagnosis from biopsy results. Many tools were proposed for the evaluation of the nutritional status based on objective methods (anthropometrics and body composition assessment) and subjective methods to improve the diagnosis.
As a result, only 20.0% had BMI within an acceptable range, and 70.0% had their BMI either in overweight or obese categories. While about 8.0% of the participants lost more than 10.0% of their weight, a vast majority of them maintained their weight. Although about 30.0% of the participant reported that they eat less, more than 60.0% of the participants did not report any problems with their food intake. More males were classified as either suspected or severe malnutrition. Like elsewhere in the world, a systematic review showed that hospital malnutrition is highly prevalent in Latin America and is associated with several adverse clinical outcomes, such as infectious and non-infectious complications, as well as increased length of hospitalization (Correia et al., 2017, Konturek et al., 2015). This emphasizes the essential need to assess the nutritional status of patients.
As identified by other authors, cancer patients are especially at risk for malnutrition since they have elevated metabolic requirements due to tumor burden, inadequate or insufficient oral intake due to chemotherapy and inherently altered taste and smell (Hong et al., 2009).
Although malnutrition is a common trouble in hospitals, literature reviews showing the prevalence rate of 40%-80% are often unnoticed and neglected (Bauer and Capra, 2003, Gupta et al., 2005). A study by Bauer et al., 2002, in the Australian Hospital Oncology Division, showed that 24% of patients had a good nutritional status, 59% were at risk of malnutrition, and 17% were severely malnourished (Bauer et al., 2002).
Results of the study by Wu et al., demonstrated that SGA is a reliable assessment tool and helps predict the hospital stay and medical costs of Chinese surgical gastrointestinal cancer patients (Wu et al., 2009).
In 2008 in Iceland, in a study evaluated the malnutrition and nutritional status of patients undergoing chemotherapy for lung, colon, and breast cancer at the Landapital-University Outpatient Clinic. The results of this study showed malnutrition in 20% of participants. Patients' nutritional decline was also seen as a negative nitrogen balance and unwanted weight loss from the healthy weight, with no reduction in overall energy consumption, recent weight loss or low weight loss. SSM testing showed that 40% of patients were malnourished (Gudny Geirsdottir and Thorsdottir, 2008).
Montaya et al. conducted a cross-sectional study in 2009 at an institution in Philippines. This study was performed on 88 cancer patients undergoing chemotherapy. They reported that about half of the patients had malnutrition or were exposed to acute malnutrition. The SGA also found that weight loss of over 10% in the past six months was a common trend among cancer patients (Montoya et al., 2010). Another study on 450 cancer patients with the age range of 18-95 years undergoing radiotherapy, classified by age and sex, showed a high prevalence of overweight or obesity and malnutrition and their potential role in the histological behavior of cancer (Chaves et al., 2010).
The present study had limitations due to a small number of patients who were participated. In addition, the impact of malnutrition on the clinical course of patients has been described several times. Other limitations of the study included the evaluation of patients from only one medical center and lack of analysis of a long-term follow-up prognosis. Therefore, a larger prospective study is essential to extrapolate better results.
Conclusion
The results of the study showed that the prevalence of malnutrition among the cancer patients was high as moderate and severe classified by PGS-SGA. The study demonstrated the necessity of nutritional care to assess possible malnutrition and improve their nutritional status to perform the treatment process effectively.
Acknowledgment
The authors wish to declare their thanks to the Clinical Oncology Department of Shohada-e Tajrish Hospital for providing the opportunity to carry out the present study.
Conflict of interests
The authors have no conflict of interests to declare.
Author’s contribution
Roshanmerhr F, Kagawa M and Roudsari AH conceived the study. Roshanmerhr F and Taghizadeh-Hesary F collected data and conducted analysis. Taghizadeh-Hesary F did medical examination and made final diagnosis. Kagawa M and Roudsari AH supervised the entire study and data interpretation. Roshanmerhr F and Milani-bonab A prepared the final draft and all of authors read and approved the final manuscript.
References
Akbari H, Hesary FT & Nikoukar LR 2017. Distribution of Breast Cancer Biomarkers by Age in Iran. Journal of analytical oncology. 6 (1): 7-13.
Akbari H, Taghizadeh-Hesary F, Heike Y & Bahadori M 2019. Cell Energy: A New Hypothesis in Decoding Cancer Evolution. Archives of Iranian medicine. 22 (12): 733.
Alberti DC, Ascari RA & Schirmer EM 2020. Biochemical parameters and nutritional status of surgical patients with gastrointestinal cancer: a literature review. Revista do Colégio Brasileiro de Cirurgiões. 47.
Arends J, et al. 2017. ESPEN expert group recommendations for action against cancer-related malnutrition. Clinical nutrition. 36 (5): 1187-1196.
Bauer J & Capra S 2003. Comparison of a malnutrition screening tool with subjective global assessment in hospitalised patients with cancer—sensitivity and specificity. Asia Pacific journal of clinical nutrition. 12 (3).
Bauer J, Capra S & Ferguson M 2002. Use of the scored Patient-Generated Subjective Global Assessment (PG-SGA) as a nutrition assessment tool in patients with cancer. European journal of clinical nutrition. 56 (8): 779-785.
Baxter J-AB, Al-Madhaki FI & Zlotkin SH 2014. Prevalence of malnutrition at the time of admission among patients admitted to a Canadian tertiary-care paediatric hospital. Paediatrics & child health. 19 (8): 413-417.
Boyle P & Levin B 2008. World cancer report 2008. IARC Press, International Agency for Research on Cancer.
Chaves MR, Boleo-Tome C, Monteiro-Grillo I, Camilo M & Ravasco P 2010. The diversity of nutritional status in cancer: new insights. The oncologist. 15 (5): 523.
Correia MIT, Perman MI & Waitzberg DL 2017. Hospital malnutrition in Latin America: A systematic review. Clinical nutrition. 36 (4): 958-967.
Detsky AS, et al. 1987. What is subjective global assessment of nutritional status? Journal of parenteral and enteral nutrition. 11 (1): 8-13.
Farhood B, Geraily G & Alizadeh A 2018. Incidence and mortality of various cancers in Iran and compare to other countries: a review article. Iranian journal of public health. 47 (3): 309.
Ferlay J, et al. 2020. Global Cancer Observatory: Cancer Today. Lyon: International Agency for Research on Cancer.
Ferlay J, et al. 2015. GLOBOCAN 2012 v1. 0, Cancer incidence and mortality worldwide: IARC CancerBase No. 11. International Agency for Research on Cancer, Lyon, France. 2013. globocan. iarc. fr.
Gudny Geirsdottir O & Thorsdottir I 2008. Nutritional status of cancer patients in chemotherapy; dietary intake, nitrogen balance and screening. Food & nutrition research. 52 (1): 1856.
Gupta D, et al. 2005. Prognostic significance of Subjective Global Assessment (SGA) in advanced colorectal cancer. European journal of clinical nutrition. 59 (1): 35-40.
Hong JH, et al. 2009. Taste and odor abnormalities in cancer patients. Journal of supportive oncology. 7 (2): 58-65.
Isenring E, Cross G, Daniels L, Kellett E & Koczwara B 2006. Validity of the malnutrition screening tool as an effective predictor of nutritional risk in oncology outpatients receiving chemotherapy. Supportive care in cancer. 14 (11): 1152-1156.
Jager-Wittenaar H & Ottery FD 2017. Assessing nutritional status in cancer: role of the Patient-Generated Subjective Global Assessment. Current opinion in clinical nutrition and metabolic care. 20 (5): 322-329.
Khoshnevis N, Shahid Sales S, Alizadeh M, MirSadraei M & Akbari ME 2012. Nutritional assessment of cancer patients by PG-SGA questionnaire in Cancer Research Center (CRC) of Shahid Beheshti University of Medical Sciences, Tehran, Iran, 2010. Research in medicine. 36 (3): 132-138.
Konturek PC, Herrmann HJ, Schink K, Neurath MF & Zopf Y 2015. Malnutrition in hospitals: it was, is now, and must not remain a problem! Medical science monitor: international medical journal of experimental and clinical research. 21: 2969.
Kristensen MB, Isenring E & Brown B 2020. Nutrition and swallowing therapy strategies for patients with head and neck cancer. Nutrition. 69: 110548.
Löser C 2010. Malnutrition in hospital: the clinical and economic implications. Deutsches arzteblatt international. 107 (51-52): 911.
Martin L, et al. 2015. Diagnostic criteria for the classification of cancer-associated weight loss. Journal of clinical oncology. 33 (1): 90-99.
Molina-Garrido MJ 2020. Impact of antineoplastic drugs on the nutritional status of older patients with cancer. Can the medical oncologist minimize the impact of these drugs on the nutrirional status of these patients? Nutricion hospitalaria. 34 (Spec No1): 22-30.
Montoya J, et al. 2010. Nutritional status of cancer patients admitted for chemotherapy at the National Kidney and Transplant Institute. Singapore mcal joirnal. 51 (11): 860-864.
Rakhsha A, et al. 2019. A Report of Delayed Toxicities of Intensity Modulated Radiation Therapy for Nasopharyngeal Carcinoma: A Single Center Cross-sectional Study. International journal management. 12 (5): e91606.
Saka B, et al. 2011. Nutritional risk in hospitalized patients: impact of nutritional status on serum prealbumin. Revista de Nutrição. 24 (1): 89-98.
Schwedhelm C, Boeing H, Hoffmann G, Aleksandrova K & Schwingshackl L 2016. Effect of diet on mortality and cancer recurrence among cancer survivors: a systematic review and meta-analysis of cohort studies. Nutrition reviews. 74 (12): 737-748.
Virizuela J, et al. 2018. Nutritional support and parenteral nutrition in cancer patients: an expert consensus report. Clinical and translational oncology. 20 (5): 619-629.
Wan G-y, et al. 2020. Effects of enteral nutritional rich in n-3 polyunsaturated fatty acids on the nutritional status of gastrointestinal cancer patients: a systematic review and meta-analysis. European journal of clinical nutrition. 74 (2): 220-230.
World Health Organization 1998. Obesity: preventing and managing the global epidemic: report of a WHO consultation on obesity, Geneva, 3-5 June 1997. Geneva: World Health Organization.
World Health Organization 1999. Management of severe malnutrition: a manual for physicians and other senior health workers.
World Health Organization 2021. Risk factors for cancers. World Health Organization,.
Wu B-W, et al. 2009. Clinical application of subjective global assessment in Chinese patients with gastrointestinal cancer. World journal of gastroenterology. 15 (28): 3542.
Rights and permissions | |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |