Malnutrition in hospitalized cancer patients: A single-center, cross-sectional study in Southern Vietnam

Identification of the Core Nutrition Impact Symptoms Cluster in Patients with Lung Cancer During Chemotherapy: A Symptom Network Analysis

OBJECTIVES

Lung cancer patients undergoing chemotherapy are present in multiple Nutrition Impact Symptoms (NIS). There have been no studies utilizing symptom networks to identify core NIS in lung cancer patients undergoing chemotherapy, it is necessary to identify core symptoms for effective and precise symptom management. We aimed to construct a symptom network of NIS in lung cancer patients receiving chemotherapy, and explore the core Nutrition Impact Symptoms cluster.

METHODS

A cross-sectional survey was conducted among 315 patients with lung cancer. The Patient-Generated Subjective Global Assessment-Short Form was used to assess the prevalence and severity of NIS. We constructed a symptom network and identified centrality indexes using R packages.

RESULTS

Fatigue emerged as the most prevalent and severe symptom, affecting 87% of participants, with an intensity of 3.0 ± 1.3. The network density was measured at 0.5. Strength centrality showed a stability coefficient of 0.7, with fatigue (Rs = 0.73), lack of appetite (Rs = 1.02), and nausea (Rs = 0.70) ranking as the top three symptoms. For betweenness centrality, the stability coefficient was 0.3, highlighting fatigue (Rb = 12), lack of appetite (Rb = 34), and emotional change (Rb = 18) as the primary symptoms.

CONCLUSIONS

This study identified a core symptom cluster consisting of fatigue, lack of appetite, and emotional change. These findings provide valuable insights for developing targeted symptom management strategies and interventions for this patient population in the future.

IMPLICATIONS FOR NURSING PRACTICE

Nurses need to comprehensively consider the interaction of multidimensional symptoms to provide lung chemotherapy cancer with targeted symptom management strategies and intervention guidance to reduce the burden of symptoms and improve quality of life.

Factors Associated With Malnutrition in Hospitalized Cancer Patients in a National Oncology Center in Conflict-Affected Settings in Sana'a, Yemen: An Institution-Based Cross-Sectional Study

Background Cancer can significantly impact the nutritional status of patients, which can worsen related complications and reduce the effectiveness of treatment. Malnutrition is a common complication among cancer patients, especially among older adults. This study aims to determine the prevalence of malnutrition among hospitalized cancer patients and identify factors associated with malnutrition. Methodology and methods The cross-sectional descriptive study was performed on 296 cancer patients admitted to the National Oncology Referral Center in Sana'a, Yemen, between February 1 and March 31, 2022. Malnutrition was diagnosed through clinical assessment and screening tools such as screening tools, body mass index (BMI), weight loss percentage, and mid-upper arm circumference (MUAC). Descriptive statistics, chi-square, and multivariable logistic regression analysis were used to assess factors associated with malnutrition. Results Of the 296 patients included in the analysis, most were female 225 (76.0%), and the mean age was 45.8 years. The prevalence of undernutrition, as determined by the BMI score, was 48 (16.2%). The prevalence of malnutrition was higher in females 37 (16.4%) compared to males 11(15.5%). The data indicated that 49% of hospitalized patients had experienced weight loss of 5% or more. Multivariable logistic regression analysis showed that single (AOR=12.93, 95% CI: 1.17-142.77) or widowed (AOR=11.51, 95% CI: 1.05-126.03) marital status, weight loss (AOR=7.56, 95% CI: 3.00-18.69), stomach cancer (AOR=6.77, 95% CI: 1.66-27.70), and breast cancer (AOR=2.60, 95% CI: 1.12-6.03) were associated with an increased risk of malnutrition. Conclusions  The study highlights the importance of evaluating and addressing the nutritional status of cancer patients, especially at the beginning and during treatment, to improve their clinical outcomes. Prospective studies are recommended to further investigate this issue.