Mie Kristine Bøgedal Pape , Louise Hyldgaard , Gustav Wedding Stentoft , William Kasper Valbirk , Toke Tinø Toftgård , Ella Ottilia Magdalena Andås , Marianne Køhler , Henrik Højgaard Rasmussen , Sabina Mikkelsen , Mette Holst
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This study aimed to investigate the accuracy of predictive equations compared to indirect calorimetry (IC) and the effect of certain patient characteristics which might correlate with total daily energy expenditure on a heterogeneous population of hospitalized medical patients.</div></div><div><h3>Methods</h3><div>A cross sectional study including demographic information, measures of bioelectric impedance analysis (BIA) including height and bodyweight (BW), IC, heart rate and from patient records, information was collected regarding nutritional risk by Nutrition Risk Screening 2002, biomarkers of C-reactive protein (CRP), albumin and leukocytes. The Harris-Benedict (HB), Mifflin St. Jeor (MSJ), and Schofield equations were calculated. Data were analyzed using T-test, linear and logistic regression analysis.</div></div><div><h3>Results</h3><div>Overall, 197 patients, mean age 63.6 ± 16.0 years were measured with IC and had equations performed. BIA was performed in 187 and 46 withdrew, as they were too ill to measure, has oxygen or forgot fasting. All estimation methods underestimate energy expenditures for patients at nutritional risk (p < 0.001), and HB and MSJ underestimate for those with body mass index (BMI) < 18.5 (p = 0.029 and p < 0.001), while for BMI≥30 all overestimate but only HB significantly (p = 0.025). Elevated CRP and leukocytes, lower heart rate, lower and higher BMI, older patients and patients at nutritional risk can affect estimated total daily energy expenditure by equations compared measured by IC (p < 0.05).</div></div><div><h3>Conclusion</h3><div>HB, MSJ, and Schofield equations all underestimate energy expenditures with higher variations in patients at nutritional risk. In patients with BMI≥30, energy expenditures are overestimated. Considerations are to measure energy expenditures for patients at nutritional risk with continued weight loss and need for artificial nutrition, and for those with BMI≥30.</div></div>","PeriodicalId":10352,"journal":{"name":"Clinical nutrition ESPEN","volume":"66 ","pages":"Pages 505-514"},"PeriodicalIF":2.9000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The accuracy of estimating equations for total resting energy expenditure in hospitalized patients\",\"authors\":\"Mie Kristine Bøgedal Pape , Louise Hyldgaard , Gustav Wedding Stentoft , William Kasper Valbirk , Toke Tinø Toftgård , Ella Ottilia Magdalena Andås , Marianne Køhler , Henrik Højgaard Rasmussen , Sabina Mikkelsen , Mette Holst\",\"doi\":\"10.1016/j.clnesp.2025.02.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background & aims</h3><div>Methods for estimation of nutritional expenditures for hospitalized patients may not be sufficiently specific. 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引用次数: 0
摘要
背景与目的:估计住院患者营养支出的方法可能不够具体。本研究旨在探讨与间接量热法(IC)相比,预测方程的准确性,以及可能与住院医疗患者异质人群每日总能量消耗相关的某些患者特征的影响。方法:横断面研究包括人口统计学信息、生物阻抗分析(BIA)指标(包括身高和体重(BW)、IC、心率)和患者记录,通过2002年营养风险筛查、c反应蛋白(CRP)、白蛋白和白细胞生物标志物收集营养风险信息。计算Harris-Benedict (HB)、Mifflin St. Jeor (MSJ)和Schofield方程。数据分析采用t检验、线性和逻辑回归分析。结果:总体而言,197例患者,平均年龄63.6±16.0岁,进行了IC测量并进行了方程计算。187例进行了BIA, 46例退出,因为他们病得太重无法测量,有氧气或忘记禁食。所有的估计方法都低估了营养风险患者的能量消耗(p30均高估,但只有HB显著(p=0.025)。升高的CRP和白细胞、较低的心率、较低和较高的BMI、老年患者和有营养风险的患者可以影响IC测量的方程估计的每日总能量消耗(结论:HB、MSJ和Schofield方程都低估了营养风险患者的能量消耗,且差异较大。BMI指数为bb30的患者,能量消耗被高估。需要考虑的是测量有持续体重减轻和需要人工营养的营养风险患者的能量消耗,以及BMI为bbb30的患者。
The accuracy of estimating equations for total resting energy expenditure in hospitalized patients
Background & aims
Methods for estimation of nutritional expenditures for hospitalized patients may not be sufficiently specific. This study aimed to investigate the accuracy of predictive equations compared to indirect calorimetry (IC) and the effect of certain patient characteristics which might correlate with total daily energy expenditure on a heterogeneous population of hospitalized medical patients.
Methods
A cross sectional study including demographic information, measures of bioelectric impedance analysis (BIA) including height and bodyweight (BW), IC, heart rate and from patient records, information was collected regarding nutritional risk by Nutrition Risk Screening 2002, biomarkers of C-reactive protein (CRP), albumin and leukocytes. The Harris-Benedict (HB), Mifflin St. Jeor (MSJ), and Schofield equations were calculated. Data were analyzed using T-test, linear and logistic regression analysis.
Results
Overall, 197 patients, mean age 63.6 ± 16.0 years were measured with IC and had equations performed. BIA was performed in 187 and 46 withdrew, as they were too ill to measure, has oxygen or forgot fasting. All estimation methods underestimate energy expenditures for patients at nutritional risk (p < 0.001), and HB and MSJ underestimate for those with body mass index (BMI) < 18.5 (p = 0.029 and p < 0.001), while for BMI≥30 all overestimate but only HB significantly (p = 0.025). Elevated CRP and leukocytes, lower heart rate, lower and higher BMI, older patients and patients at nutritional risk can affect estimated total daily energy expenditure by equations compared measured by IC (p < 0.05).
Conclusion
HB, MSJ, and Schofield equations all underestimate energy expenditures with higher variations in patients at nutritional risk. In patients with BMI≥30, energy expenditures are overestimated. Considerations are to measure energy expenditures for patients at nutritional risk with continued weight loss and need for artificial nutrition, and for those with BMI≥30.
期刊介绍:
Clinical Nutrition ESPEN is an electronic-only journal and is an official publication of the European Society for Clinical Nutrition and Metabolism (ESPEN). Nutrition and nutritional care have gained wide clinical and scientific interest during the past decades. The increasing knowledge of metabolic disturbances and nutritional assessment in chronic and acute diseases has stimulated rapid advances in design, development and clinical application of nutritional support. The aims of ESPEN are to encourage the rapid diffusion of knowledge and its application in the field of clinical nutrition and metabolism. Published bimonthly, Clinical Nutrition ESPEN focuses on publishing articles on the relationship between nutrition and disease in the setting of basic science and clinical practice. Clinical Nutrition ESPEN is available to all members of ESPEN and to all subscribers of Clinical Nutrition.