Title |
APPETITE PREDICTS INTAKE AND NUTRITIONAL STATUS IN PATIENTS RECEIVING PERITONEAL DIALYSIS
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Published in |
Journal of Renal Care, April 2016
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DOI | 10.1111/jorc.12156 |
Pubmed ID | |
Authors |
Valerie Young, Sarah Balaam, Linda Orazio, Annerley Bates, Sunil V Badve, David W Johnson, Katrina L Campbell |
Abstract |
Sub-optimal nutrition status is common amongst patients receiving peritoneal dialysis (PD) and leads to poor clinical outcome. This population experiences multi-factorial challenges to achieving optimal nutritional status, particularly driven by inadequate intake. The aim of this investigation was to identify factors associated with inadequate protein intake and sub-optimal nutritional status in patients undergoing PD. This was a cross-sectional study of 67 adult patients receiving PD (mean age 59 ± 14 years; 57% male) within a single centre. Participants were consecutively recruited and interviewed by renal dietitians, collecting: Subjective Global Assessment (SGA); quality of life (using EQ-5D); dietary intake (via dietary interview); and appetite (using Appetite and Diet Assessment Tool). Participant demographics were obtained via survey or medical charts. Main outcome measures were inadequate dietary protein intake (<1.1 g/kg adjusted body weight/day) and malnutrition (as defined by SGA rating B or C). Overall, 15 (22%) patients were malnourished and 29 (43%) had inadequate protein intake. Poor appetite (anorexia) was reported in 62% (18/29) of participants with inadequate protein malnourished patients reported anorexia versus 12 (23%) of the well-nourished patients (p = 0.0001). Anorexia was a key risk factor for inadequate protein intake and malnutrition in patients undergoing PD. These findings highlight a need to closely monitor patients with appetite disturbances. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 12 | 24% |
Student > Ph. D. Student | 6 | 12% |
Student > Doctoral Student | 5 | 10% |
Other | 4 | 8% |
Researcher | 4 | 8% |
Other | 9 | 18% |
Unknown | 11 | 22% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 13 | 25% |
Nursing and Health Professions | 13 | 25% |
Psychology | 3 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 5 | 10% |
Unknown | 13 | 25% |