Background: Overfeeding and underfeeding are associated with poor clinical outcomes. In the absence of indirect calorimetry (IC), the Society of Critical Care Medicine/ASPEN recommend prescribing 25-30 kcal/kg. The Harris-Benedict equation (HBE) multiplied by a stress factor is commonly applied in critically ill patients. We describe the difference between estimated and actual energy needs in critically injured patients.
Methods: From March to November 2018, we collected demographics and energy needs determined by continuous IC (started within 4 days) in intubated adults. Ideal or adjusted body weight was used for 25-30 kcal/kg, and HBE was multiplied by a 1.3 stress factor (1.3HBE). Daily requirements up to 14 days, extubation, or death were calculated using all 3 methods and compared with IC.
Results: Fifty-five subjects were included. Median age was 38 [27-58] years, 38 (69%) were male, body mass index was 28 [25-33] kg/m , and Acute Physiology and Chronic Health Evaluation II score was 17 [14-24] Mechanism of injury was blunt (38, 69%), penetrating (9, 16%), and burn (8, 15%). By day 14, compared with measured energy requirements by IC, the other methods could result in a cumulative 1827-kcal (+7%) surplus (1.3HBE), a 1313-kcal (-5%) deficit (25 kcal/kg), or a 3950-kcal (+14%) surplus (30 kcal/kg) per patient over a median 9 days.
Conclusion: In critically injured patients, predictive equations for energy needs do not account for dynamic metabolic changes over time and could result in underfeeding or overfeeding. Adjusting daily prescription based on continuous IC may result in better individualized treatment.
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http://dx.doi.org/10.1002/ncp.10372 | DOI Listing |
Front Psychol
January 2025
Faculty of Sports Science and Coaching, Sultan Idris Education University, Tanjong Malim, Malaysia.
Introduction: This study aimed to investigate the relationship between need-supportive coaching behavior, subjective task value, goal orientation, and engagement among Chinese high school football players and propose four research hypotheses better to understand the determinants and mechanisms of athlete engagement.
Methods: Participants were 385 Chinese high school football players (228 boys; 157 girls; Mage = 16.07 years; SD = 1.
Nat Sci Sleep
January 2025
Department of Applied Psychology, Faculty of Social Sciences, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan.
Background: While bedtime procrastination is commonly associated with adverse outcomes such as poor sleep quality, the mechanisms mediating these effects remain underexplored. Grounded in the Self-Regulation Model of Behavior and the Transactional Model of Stress and Coping, this study examines the mediating role of cognitive reappraisal in the relationship between bedtime procrastination and sleep quality over time.
Methods: Employing a longitudinal design, the study examined the progression of bedtime procrastination, cognitive reappraisal, and sleep quality among university students at three distinct time points throughout an academic semester.
Public Health Pract (Oxf)
June 2025
MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK.
Objectives: Disuse theory predicts that cognitive function is vulnerable to transitions that remove factors that support cognitive skills. We sought to investigate whether non-employment over the working life was associated with cognitive function and decline in later life (≥60 years old), and possible gender differences in the association.
Study Design: Longitudinal study.
Rev Cardiovasc Med
January 2025
Cardiac Surgery, Lausanne University Hospital CHUV Lausanne, 1011 Lausanne, Switzerland.
Background: Currently, there are no standardized guidelines for graft allocation in heart transplants (HTxs), particularly when considering organs from marginal donors and donors after cardiocirculatory arrest. This complexity highlights the need for an effective risk analysis tool for primary graft dysfunction (PGD), a severe complication in HTx. Existing score systems for predicting PGD lack superior predictive capability and are often too complex for routine clinical use.
View Article and Find Full Text PDFHeliyon
January 2025
Faculty of Mechanical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, 76100, Malaysia.
This paper explores the electrical conductivity interphase of Ag/Epoxy composite using modified McLachlan theory and 3D finite element composite model through experimental verification. The model characteristic presents conductivity as a dynamic function influenced by particle content, particle electrical properties, electrical properties transition, and an exponent. This model was meticulously crafted, considering the intricate interplay between the polymer matrix and silver particles, the tunnelling distance between adjacent silver particles, and the interphase regions around particles.
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