ArticleRenal failure2023
Resting energy expenditure based on equation estimation can predict renal outcomes in patients with type 2 diabetes mellitus and biopsy-proven diabetic kidney disease.
Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Dynamic machine learning model integrating resting energy expenditure for predicting postoperative complications after gastrectomy for gastric cancer.Journal of cancer research and clinical oncology · 2026Article
- Resting energy expenditure and kidney disease: a narrative review.Frontiers in nutrition · 2025Review
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Authors and funding
5 authors.
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Abstract
aimsThe aim of this study was to investigate the relationship between resting energy expenditure (REE) based on equation estimation and renal outcomes in patients with diabetes kidney disease (DKD).
methodsA total of 124 patients were enrolled from a retrospective cohort of Type 2 Diabetes mellitus (T2DM) patients with biopsy-proven DKD. Renal outcome defined as End-Stage Renal Disease (ESRD). To compare the predictive ability of different REE estimation equations on ESRD. Patients' REE was assessed according to the estimating equation with the best predictive power, and then the relationship between REE and ESRD risk was fitted using a restricted cubic spline curve (RCS) plot and REE cutoff values were obtained. Grouping using cutoff values, and ultimately evaluate the relationship between REE and the risk of ESRD using a Multivariate Cox regression model.
resultsThe strongest predictive validity for renal outcomes was the NDCKD-equation. The patients were divided into the higher-REE group (
conclusionThese findings suggested that the lower REE was an independent risk factor for unfavorable renal outcomes in patients with DKD.
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