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DC Field | Value | Language |
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dc.contributor.advisor | Pinto-Sanchez, Maria Ines | - |
dc.contributor.author | Fardowsa, Abdi | - |
dc.date.accessioned | 2023-08-28T15:17:20Z | - |
dc.date.available | 2023-08-28T15:17:20Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://hdl.handle.net/11375/28850 | - |
dc.description.abstract | Resting energy expenditure (REE) is challenging to predict in chronic inflammatory gastrointestinal conditions (CIGI) such as celiac disease (CeD) and inflammatory bowel disease (IBD). In clinical practice, predictive equations (PE) are often used to provide estimates of REE. However, indirect calorimetry is a gold-standard method for accurate measurement of energy needs. The central hypothesis for this study was that there would be differences in predicted and measured energy needs in CIGI. We conducted a prospective observational study at an outpatient clinic where REE (kcal/day) was measured by the Q-NRG® Metabolic Cart. This was compared with REE estimated by five commonly used PE (25 kcal/kg, Harris-Benedict, Schofield, Mifflin-St. Jeor and Owen) using paired t-tests (IBM SPSS Version 29.0). REE (kcal/day) and REE adjusted for weight (REE/kcal/kg) were compared in different GI groups using Mann-Whitney U tests. The study population comprised eighty-seven patients with CIGI (CeD [n=61], IBD [n=10], and Other [n=16]). Mean REE (1462 ± 281) was significantly lower compared with several PE: 1) 25 kcal/kg (1933 ± 536; p <0.001); 2) Harris-Benedict (1552 ± 287; p<0.001); 3) Schofield (1522 ± 282, p=0.01), while higher than Owen (1411 ± 228, p=0.02) and similar to Mifflin St. Jeor (1450 ± 277; p=0.56). REE adjusted for weight (kcal/kg/day) was significantly higher in IBD as compared with CeD patients (22.9 vs 18.2; p=0.04), potentially due to differences in disease activity (16% CeD with active disease vs. 60% IBD with active disease; p=0.0022). Furthermore, fat-free mass (FFM) (r=0.70, p<0.001), BMI (r=0.47, p<0.01), and protein intake (r=0.24, p=0.02) were important predictors of REE in this cohort. The present results suggest that basal caloric needs are inaccurately predicted by PE, which may have significant implications in the long-term nutritional management of CeD and IBD. | en_US |
dc.language.iso | en | en_US |
dc.title | The Use of Indirect Calorimetry for Nutrition Assessments in Patients with Chronic Inflammatory Gastrointestinal Conditions | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Medical Sciences | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Health Sciences (MSc) | en_US |
dc.description.layabstract | Little is known about whether chronic inflammatory gastrointestinal conditions (CIGI), such as Celiac Disease (CeD) and Inflammatory Bowel Disease (IBD), alter resting energy expenditure (REE). While energy needs can be estimated using predictive equations (PE), indirect calorimetry (IC) is the gold-standard method for the measurement of energy needs. In this study, we primarily investigated whether there were differences in the measured and estimated energy needs of patients with CIGI. The results showed that most PE were inaccurate for the assessment of energy needs, though the Mifflin St. Jeor and Cunningham formulas showed the best performance. REE comparison of CeD and IBD yielded lower REE in CeD. When factors influencing REE were explored, fat-free mass (FFM), dietary protein intake, and BMI were significant predictors of REE. This research has important implications for patients with CIGI and can inform evidence-based nutritional management and recommendations. | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
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File | Description | Size | Format | |
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Abdi_Fardowsa_A_20230810_MedicalSciences_MSc.pdf | 3.83 MB | Adobe PDF | View/Open |
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