Objective(s): To explore the validity of using bioelectrical impedance analysis (BIA)-derived 50 kHz phase angle (PhA) in predicting protein-energy wasting (PEW) in Chinese maintenance hemodialysis (MHD) patients. Design and Methods: The design was a cross-sectional study. A total of 173 of MHD patients and 173 healthy adults were enrolled in the study. The prevalence of PEW in patients was performed by the International Society of Renal Nutrition and Metabolism criteria. The PhA, body cell mass, fat mass, body fat percentage, fat-free mass, and extracellular water/total body water were measured by InBody S10 body composition analyzer. The biochemical indices and anthropometric measurements were assessed using the way published elsewhere. The PhA, other values of BIA and its relationship with age, visceral protein, anthropometric measurements of the MHD patients were compared with the healthy group. The independent variables for predicting PEW and its cutoff values were explored using logistic regression model and receiver operating characteristic curve analysis, respectively. Results: The MHD patients' PhA value was significantly lower than the healthy group (4.89 6 1.19 vs. 6.32 6 2.23, P , .01). A total of 34.1% MHD patients with PEW had significantly lower PhA values compared with well-nourished patients (P , .05). The PhA decreased more significantly with age in MHD (r 5 20.35, P , .001), compared with controls (r 5 20.26, P , .001). The PhA values were positively associated with nutritional indices related to serum albumin, prealbumin, fat-free mass, and mid-arm muscle circumference. PhA values were not associated significantly with fat mass and body fat percentage (P. .05). Multivariate logistic regression analysis showed that PhA and body mass index were independent predictors of PEW, but the PhA was the stronger predictor (odds ratio 5 4.48, P , .05). Receiver operating characteristic curve analysis suggested that the optimal PhA cutoff value to predict PEW was 4.6. Conclusions: BIA-derived PhA appears to be a useful bioelectrical marker for predicting PEW in Chinese hemodialysis patients with a cutoff value of 4.6 .
<p class="abstract"><strong>Background:</strong> Malnutrition is common in patients with cancer, which adversely affects the survival and quality of life of cancer patients. However, there is no national data on the prevalence of malnutrition in Chinese cancer patients. This study aims to evaluate the prevalence of malnutrition and quality of life (QOL) of Chinese patients with local regional, recurrent or metastatic cancer, to address the prognostic value of nutritional status and QOL on the survival of cancer patients in China and to validate the patient-generated subjective global assessment (PG-SGA) questionnaire in Chinese cancer patients.</p><p class="abstract"><strong>Methods:</strong> This is an observational, multi-centered, and hospital-based prospective cohort study. We aimed to recruit 50,000 cancer patients (age 18 and above) over an 8-year period. Data collection will occur within 48 hr after patients are admitted to hospital, 30-days after hospital admission, and the follow-up will be conducted 1-8 years after enrolment. The primary outcome is overall survival, and secondary outcomes are length of hospital stay and hospital costs. Factors measured are demographic characteristics, tumor characteristics, anthropometry measurements, hematological measurement, body composition, PG-SGA scores, Karnofsky performance status scores, and QLQ C30 scores. This protocol was approved by local ethical committees of all the participant hospitals.</p><p class="abstract"><strong>Conclusions: </strong>This multi-centered, large-scale, long-time follow-up prospective study will help diagnose malnutrition in cancer patients in China, and identify the related risk factors associated with the negative outcomes. The anticipated results will highlight the need for a truly scientific appraisal of nutrition therapy, and help to improve outcomes among cancer patients in China.</p><p class="abstract"><strong>Trial Registration: </strong>The trial has been registered with the Chinese Clinical Trial Registry, ChiCTR1800020329. Registered on 19 December 2018.<strong></strong></p>
Many long-term maintenance hemodialysis patients have symptoms of protein-energy wasting caused by malnutrition. Each session of hemodialysis removes about 10 to 12 g of amino acids and 200 to 480 kcal of energy. Patients receiving hemodialysis for chronic kidney disease may be undernourished for energy, protein consumption, or both. Non-diabetic hemodialysis patients were randomized to three treatment groups: oral supplementation, oral supplementation plus high-concentration glucose solution (250 mL containing 50% glucose) and these two interventions plus 8.5% amino acids solution. The post-treatment energy status of the glucose group was significantly higher than its baseline level, whereas the control group’s status was significantly lower. The glucose group had significantly higher concentrations of asparagine, glutamine, glycine, alanine, and lysine after treatment. All treatment groups had significantly increased hemoglobin levels but significantly decreased transferrin levels after treatment compared to baseline. After treatment, the amino acid group had significantly higher albumin level compared to the glucose group (p = 0.001) and significantly higher prealbumin level compared to the control group (p = 0.017). In conclusion, long-term intervention with high-concentration glucose solution at each hemodialysis session is a simple and cheap method that replenished energy stores lost during hemodialysis of non-diabetic patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.