Agreement Between Resting Energy Expenditure Predictive Formulas and Indirect Calorimetry in Non-Dialysis Dependent Chronic Kidney Disease.

IF 3 3区医学 Q1 MEDICINE, GENERAL & INTERNAL

Diagnostics Pub Date : 2024-11-20 DOI:10.3390/diagnostics14222603

Mariana Cassani de Oliveira, Marina Nogueira Berbel Bufarah, Rodrigo Bueno de Oliveira, Cassiana Regina de Góes, André Luís Balbi

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Abstract

Background and aims: The gold standard method for measuring resting energy expenditure (REE) is indirect calorimetry (IC) using an expensive device that requires specialized training. To overcome the limitations of IC, REE prediction formulas are used in patients with chronic kidney disease (CKD). However, it is still controversial which of these formulas has greater accuracy compared to IC. We aimed to determine the accuracies of REE measured by IC and estimated by formulas in patients with CKD.

Methods: Fifty-three patients with stage 4-5 CKD underwent IC and five current REE prediction formulas. Accuracy was measured by Lin's correlation coefficient. Bland-Altman repeated measures analysis was used to assess the agreement of the formulas' results with those of IC. Precision was measured by the predicted IC ± 10% and 20%. Systematic bias was assessed by the Student's t-test, and linear regression was used to assess proportionality bias.

Results: Patients had a mean estimated glomerular filtration rate (eGFR) of 12 ± 4 mL/min/1.73 m², a mean age of 65 years, and 62% were male. The mean REE measured by IC was 1341 ± 37 Kcal/day, and the formula with the lowest mean bias (0.1509 [-653.5121; 398.9056]), best correlation (r = 0.789; p = 0.000), and best accuracy (85%) was the formula developed by Fernandes and Cols (REE (kcal/day) = 854 + (7.4 × body weight) + (179 × sex) - (3.3 × age) + (2.1 × eGFR) + 26 (if diabetes)).

Conclusions: The Fernandes and Cols equation had good accuracy and was valuable for estimating energy requirements in the population studied.

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非透析依赖型慢性肾病患者静息能量消耗预测公式与间接量热法之间的一致性。

背景和目的：测量静息能量消耗（REE）的金标准方法是间接量热法（IC），该方法使用昂贵的设备，需要经过专门培训。为了克服间接热量计的局限性，慢性肾脏病（CKD）患者使用了静息能量消耗预测公式。然而，这些公式中哪一个比 IC 更准确仍存在争议。我们的目的是确定 CKD 患者用 IC 测量的 REE 和用公式估算的 REE 的准确性：方法：53 名 4-5 期 CKD 患者接受了 IC 和五种当前的 REE 预测公式。准确性通过林氏相关系数进行测量。采用 Bland-Altman 重复测量分析评估公式结果与 IC 结果的一致性。精确度以预测的 IC ± 10% 和 20% 来衡量。系统偏差通过学生 t 检验进行评估，线性回归用于评估比例偏差：患者的平均肾小球滤过率（eGFR）为 12 ± 4 mL/min/1.73 m2，平均年龄为 65 岁，62% 为男性。IC 测得的平均 REE 为 1341 ± 37 千卡/天，平均偏差最小（0.1509 [-653.5121; 398.9056]）、相关性最好（r = 0.789; p = 0.Fernandes和Cols开发的公式（REE（千卡/天）= 854 + (7.4 × 体重) + (179 × 性别) - (3.3 × 年龄) + (2.1 × eGFR) + 26（如有糖尿病））具有最小的平均偏差（0.1509 [-653.5121; 398.9056]）和最佳的准确性（85%）：结论：费尔南德斯和科尔斯方程具有良好的准确性，对估算所研究人群的能量需求很有价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Diagnostics Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry

CiteScore

4.70

自引率

8.30%

发文量

2699

审稿时长

19.64 days

期刊介绍： Diagnostics (ISSN 2075-4418) is an international scholarly open access journal on medical diagnostics. It publishes original research articles, reviews, communications and short notes on the research and development of medical diagnostics. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodological details must be provided for research articles.