期刊
NUTRITIONAL NEUROSCIENCE
卷 25, 期 2, 页码 246-255出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/1028415X.2020.1745427
关键词
Parkinson's disease; resting energy expenditure; basal metabolic rate; predictive equation; indirect calorimetry; levodopa; dopaminergic therapy; body weight; weight homeostasis
资金
- Fondazione Grigioni per il Morbo di Parkinson
- Brain and Malnutrition in Chronic Diseases Association-ONLUS
By conducting a case-control study, we found that Parkinson's disease (PD) patients do not commonly have an increase in resting energy expenditure (REE), but it does increase in patients with obesity and more severe disease. The accuracy of existing REE equations is limited, while the new equation we proposed in this study provides better REE estimates.
Background:Weight homeostasis is complex in Parkinson's disease (PD) and body weight changes substantially throughout the course of the disease. We designed a case-control study to (i) investigate whether PD is associated with changes in resting energy expenditure (REE), (ii) to assess how accurately REE could be predicted for individuals with PD utilizing the equations constructed for healthy individuals, and (iii) to eventually construct a new equation. Materials & Methods:Measured REE (mREE) was compared between 122 PD patients and 122 gender and body mass index (BMI)-matched controls. The accuracy of estimated REE by 5 common equations (Harris/Benedict-1919, Roza/Shizgal-1984, Mifflin St. Jeor, WHO/FAO and aggregate formula) was investigated in PD using Bland-Altman analysis and reported as the frequency of accurate predictions (+/- 10%). Concordance correlation coefficients (CCC) were also calculated. Then, we regressed a new REE equation - using gender, age, weight, height and Hoehn-Yahr stage - and validated it in an independent sample (N = 100). Results:No significant difference in mREE was recorded between the whole PD sample and healthy controls. However, mREE was increased in patients with BMI >= 30 kg/m(2)and Hoehn-Yahr stage >= 3. Limited accuracy was present in the available REE equations (accurate prediction [+/- 10%] frequency, <60% for all). For the new equation, the proportion of accurate prediction was 67.0% (overestimation, 24.0%) and CCC was 0.77. Conclusion:PD patients are not commonly characterized by an increase in REE. This is limited to patients suffering from obesity and more severe disease. Common REE equations appear to be inaccurate. The new predictive equation proposed in this study provided better REE estimates.
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