ArticleBiochemistry research international2020
Energy Requirement of Patients Undergoing Hemodialysis: A Cross-Sectional Study in Multiple Centers.
Article in Biochemistry research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Coronary artery calcium and multiparametric cardiovascular risk assessment in non-dialysis chronic kidney disease.Biomolecules & biomedicine · 2026Article
- Resting energy expenditure and kidney disease: a narrative review.Frontiers in nutrition · 2025Review
- Machine learning models using non-linear techniques improve the prediction of resting energy expenditure in individuals receiving hemodialysis.Annals of medicine · 2023Article
- Current methods for developing predictive energy equations in maintenance dialysis are imprecise.Annals of medicine · 2022Article
- Effect of Different Nutritional Education Based on Healthy Eating Index for HemoDialysis Patients on Dietary Quality and Muscle Mass.Nutrients · 2022Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnergy requirements must be estimated before nutritional care can be provided for patients undergoing hemodialysis (HD). However, the recommended caloric intake for patients has not been conclusively determined because of insufficiently large sample sizes.
methodThis cross-sectional observational study recruited patients undergoing long-term HD from multiple centers as well as people in the general population without chronic kidney disease. People from both groups were matched by sex and age. Resting energy expenditure (REE) was estimated using an indirect calorimeter. Two commonly used equations for estimating REE and daily energy requirement recommended by the National Kidney Foundation's Kidney Disease Outcomes Quality Initiative (K/DOQI) were chosen.
resultsThis study had 154 HD patients and 33 matched HD-control group pairs. Age (
conclusionsAge and dry body weight are the main factors affecting the energy expenditure of HD patients. Furthermore, predicting the energy expenditure of HD patients by measuring the energy expenditure of their sedentary counterparts in the general population with the same sex, age range, and weight may yield better results than using traditional equations for predicting TEE. In East Asian populations, the TEE values were 32 and 30 kcal/kg dry weight for those aged <65 and ≥65 years, respectively. Future prospective cohort studies with larger sample sizes are needed.
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Registered trials
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