کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5719607 1607414 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Original ArticlesPerformance of Predictive Equations Specifically Developed to Estimate Resting Energy Expenditure in Ventilated Critically Ill Children
ترجمه فارسی عنوان
مقالات اصلی تحقق معادلات پیش بینی شده به طور خاص برای ارزیابی هزینه های صرفه جویی در انرژی در کودکان مبتلا به نارسایی تهویه مناسب
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی پریناتولوژی (پزشکی مادر و جنین)، طب اطفال و بهداشت کودک
چکیده انگلیسی

ObjectiveTo determine, based on indirect calorimetry measurements, the biases of predictive equations specifically developed recently for estimating resting energy expenditure (REE) in ventilated critically ill children, or developed for healthy populations but used in critically ill children.Study designA secondary analysis study was performed using our data on REE measured in a previous prospective study on protein and energy needs in pediatric intensive care unit. We included 75 ventilated critically ill children (median age, 21 months) in whom 407 indirect calorimetry measurements were performed. Fifteen predictive equations were used to estimate REE: the equations of White, Meyer, Mehta, Schofield, Henry, the World Health Organization, Fleisch, and Harris-Benedict and the tables of Talbot. Their differential and proportional biases (with 95% CIs) were computed and the bias plotted in graphs. The Bland-Altman method was also used.ResultsMost equations underestimated and overestimated REE between 200 and 1000 kcal/day. The equations of Mehta, Schofield, and Henry and the tables of Talbot had a bias ≤10%, but the 95% CI was large and contained values by far beyond ±10% for low REE values. Other specific equations for critically ill children had even wider biases.ConclusionsIn ventilated critically ill children, none of the predictive equations tested met the performance criteria for the entire range of REE between 200 and 1000 kcal/day. Even the equations with the smallest bias may entail a risk of underfeeding or overfeeding, especially in the youngest children. Indirect calorimetry measurement must be preferred.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of Pediatrics - Volume 184, May 2017, Pages 220-226.e5
نویسندگان
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