Estimating Dietary Energy and Protein Requirements for Patients with Peripheral Arterial Disease: An Evaluation of Current Practice Amongst Dietitians

Autor: Christopher L. Delaney, Michelle Miller, Hayley Leedham, Jolene Thomas, J. Ian Spark
Rok vydání: 2015
Předmět:
Zdroj: Journal of Nutritional Health & Food Science. 3
ISSN: 2372-0980
DOI: 10.15226/jnhfs.2015.00139
Popis: Aims: To (i) identify current practice of dietitians in determining energy and protein requirements for patients with Peripheral Arterial Disease (PAD); and (ii) explore the magnitude and implications of the variability in estimates with reference to typical patients at each stage of PAD. Methods: An invitation to complete an online 26-item questionnaire was distributed electronically by the Dietitians Association of Australia to all members. Each method used by participants for estimation of energy and protein requirements across the stages of PAD was applied to the relevant typical patient and the range of estimates reported. Results: Twenty-two dietitians completed the questionnaire and reported caseloads inclusive of all stages of PAD and with relatively equal frequency. For estimation of energy requirements, the Schofield equations in addition to 120-125kJ/kg and 125-145kJ/kg were most frequently used. When applied to the typical patient, the estimates of requirements varied by over 5000kJ/day within each stage of PAD. For estimation of protein requirements it was common to apply the RDI (0.8-1g/kg/day) or account for minor surgery or sepsis (up to 1.5g/kg/day) for patients with rest pain or tissue loss. The estimates of protein requirements varied by up to 55g/day depending on the method used. Conclusions: There was significant variation in energy and protein estimates both within and across the stages of PAD, which is possibly due to the little evidence available to inform dietitians on how to best treat patients with PAD. Further work is required to acquire a solid evidence base and subsequently communicate this for translation into practice.
Databáze: OpenAIRE