Comparison Of Estimated Energy Requirements In Lung Transplant Candidates
JOURNAL OF HEART AND LUNG TRANSPLANTATION(2021)
摘要
Purpose Calculation of estimated energy requirements (EER) is critical in achieving nutritional targets in pre-lung transplantation (LT) candidates. This study compared bedside prediction of EER using simple equations with a more complex technology based EER using a multisensor device (Sensewear v8.1, SW). SW estimated energy requirements was then compared to estimated energy intake (EEI) at pre-LT assessment. Methods Single institution retrospective cross-sectional observational study of adult patients assessed for LT between Oct 2016 and Apr 2019. Patients wore the SW device on their left tricep for a minimum of 3 days. Patients with poor compliance, Results 117 patients were included. 55% male, mean age 51.8 ±13.8years, BMI 25.1±4.5kg/m2. 4 patients were assessed as underweight, 53 healthy weight, 44 overweight and 17 obese. 17% of patients were assessed as malnourished (SGA-B, mild-moderately malnourished). Respiratory disease: CF (15%), COPD (41%), IPF (31%), other (13%). Food record data existed for 82% of candidates (n=96). There was strong agreement between all predictive equations and SW. Schofield had the strongest correlation (0.836, p Conclusion Whilst all EER equations correlated well with SW as the reference standard, Schofield had the strongest agreement with SW, while larger variations were observed with other equations (over/underestimation) which may be clinically relevant for some patients. EER predictive energy equations provide a simple, rapid and accurate assessment of nutritional requirements in pre-lung transplantation.
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Nutrition Support Therapy
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