A simple assessment model based on phase angle for malnutrition and prognosis in hospitalized cancer patients

Zhao, Wenqi; Du, Yunyi; Zhang, Jialei; Zhang, Ying; Li, Weiling; Hu, Wenxian; Zong, Liang; Liu, Yaqin; Qin, Haifeng; Zhang, Xiaoling

doi:10.1016/j.clnu.2022.04.018

Cited by 15 publications

(9 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previously, nutritional screening and assessment tools, such as body mass index (BMI), dual-energy X-ray absorptiometry (DXA), computed tomography (CT), have been used to evaluate the nutritional status and predict the prognosis of patients with malignant tumors, and was successful to a certain extent (4,5). However, there are still some deficiencies in these indicators, such as the high technical requirements and radiation damage associated with DXA, the cost and unsuitability for shortterm repeated applications of CT, and the inability of BMI to distinguish between muscle and fat.…”

Section: Introductionmentioning

confidence: 99%

Sex differences in the association of phase angle and lung cancer mortality

et al. 2022

View full text Add to dashboard Cite

BackgroundLung cancer is a lethal malignant tumor that is common worldwide and is associated with a high incidence of malnutrition. Phase angle (PA) is a simple, objective, and non-invasive indicator of body composition that has increasingly attracted attention as an indicator of the nutritional status and prognosis of patients with malignant tumors. This study aimed to investigate the association between the PA and overall survival in patients with lung cancer.MethodsThis study prospectively analyzed 804 lung cancer patients in the Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC) project from 40 hospitals in China. We used a restricted cubic spline to analyze the sex-specific association between PA and mortality in men and women with lung cancer. Cox regression analysis was used to evaluate the independent association between PA and mortality in men and women. Sensitivity analysis was performed. The Kaplan–Meier method was used to evaluate the survival of patients with high and low PA values.ResultsThere was an L-shaped association between PA and survival in both men and women with lung cancer (p = 0.019 and p = 0.121, respectively). Kaplan–Meier survival analysis suggested that patients with a high PA showed a better survival than patients with a low PA (p = 0.007 for men and p < 0.001 for women). Multivariate-adjusted Cox regression analysis showed that PA was an independent risk factor for mortality in men (HR = 0.79, 95% CI = 0.65–0.95, p = 0.015), but not in women (HR = 0.83, 95% CI = 0.67–1.04, p = 0.105).ConclusionPhase angle is an independent risk factor for the mortality of male lung cancer patients. However, its role in predicting the mortality of female lung cancer patients seems to be limited.

show abstract

Section: Introductionmentioning

confidence: 99%

Sex differences in the association of phase angle and lung cancer mortality

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Additionally, identifying subjects with functional impairment would allow the placement of appropriate medical–nutrition strategies to avoid physical dependence, which could improve the life quality of subjects [ 27 , 28 ]. It is important to note that malnutrition and functionality impairment have a negative impact on healthcare systems and in several scenarios that involve patients, owing to increased hospital expenditures, drug consumption and length of recovery time [ 29 ]. Therefore, incorporating PhA into first-line nutritional assessment in the hospital area could show meaningful results [ 26 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

Phase Angle as a Potential Screening Tool in Adults with Metabolic Diseases in Clinical Practice: A Systematic Review

Praget-Bracamontes

González-Arellanes

Aguilar-Salinas

et al. 2023

IJERPH

View full text Add to dashboard Cite

Background: Phase angle (PhA) has been used as mortality prognostic, but there are no studies about its possible use as a screening tool. Therefore, an assessment of the possible utility of PhA in clinical practice is required. The aim of this systematic review was to explore all recent available evidence of PhA, and its possible utility as a screening tool in clinical practice in subjects with chronic metabolic diseases. Materials and Methods: This systematic review was performed and written as stated in the PRISMA 2020 guidelines. The search was conducted in PubMed, ScienceDirect and SciElo. In order to be considered eligible, within the entire search, only articles involving PhA and their utility in metabolic diseases were included. Results: PhA was associated with hyperuricemia and vitamin D deficiency in obese subjects, and decreased cardiovascular risk and malnutrition in hospitalized patients. Conclusion: PhA may be a potential screening tool in clinical practice to evaluate different biomarkers, cardiovascular risk, and nutritional diagnosis in metabolic diseases in adults.

show abstract

“…Significantly, compared to other forecasting models (34)(35)(36), the HBM nomogram is simpler to use and can quantify metrics without the need for additional tools or calculations. The three predictor metrics involved in the HBM nomogram model can be obtained by simple questioning and anthropometric measurements on patients, which will greatly improve the efficiency of outpatient doctors in assessing whether patients with CD patients malnourished and help guide subsequent nutritional treatment.…”

Section: Discussionmentioning

confidence: 99%

Rapid assessment of malnutrition based on GLIM diagnosis in Crohn’s disease

Huang,

Niannian,

Zhang

et al. 2023

Front. Nutr.

View full text Add to dashboard Cite

Background and aimsMalnutrition is strongly linked to adverse outcomes in patients with Crohn’s disease (CD). In this study, our objective was to validate the Global Leadership Initiative on Malnutrition (GLIM) criteria and develop a fast and accurate diagnostic approach for identifying malnutrition in CD patients.MethodsThis study assessed 177 CD patients from four general hospitals. The efficacy of the GLIM criteria for the diagnosis of CD malnutrition was compared. By analyzing the independent factors, a nomogram model was derived and internally validated to predict the diagnosis of malnutrition in patients with CD. Model performance was assessed using discrimination and calibration, decision curves, and net benefit analyses.ResultsCompared with the SGA criteria, the GLIM criteria was consistent in sensitivity (88.89%) and specificity (78.43%) [AUC = 0.84; 95% Confidence Interval (CI): 0.77–0.89]. The Harvey-Bradshaw index(HBI) score (OR: 1.58; 95% CI: 1.15–2.18), body mass index (OR: 0.41; 95% CI: 0.27–0.64), and mid-upper arm circumference (OR: 0.68; 95% CI: 0.47–0.9) were independent factors associated with malnutrition. The nomogram was developed based on these indicators showing good discrimination in malnutrition diagnosis (AUC = 0.953; 95% CI: 0.922–0.984), with agreement after calibration curve and decision curve analysis.ConclusionThe GLIM criteria are appropriate for diagnosing malnutrition in CD patients. The HBI score may be used to diagnose malnutrition in patients with CD and become a possible selection for the GLIM etiologic criteria of inflammation. The HBM nomogram could be a simple, rapid, and efficient method for diagnosing malnutrition in CD patients.

show abstract

A simple assessment model based on phase angle for malnutrition and prognosis in hospitalized cancer patients

Cited by 15 publications

References 31 publications

Sex differences in the association of phase angle and lung cancer mortality

Sex differences in the association of phase angle and lung cancer mortality

Phase Angle as a Potential Screening Tool in Adults with Metabolic Diseases in Clinical Practice: A Systematic Review

Rapid assessment of malnutrition based on GLIM diagnosis in Crohn’s disease

Contact Info

Product

Resources

About