Data collected was analysed using Microsoft Excel 2010 and SPSS for Windows Version 21, IBM Corporation. Descriptive analysis was used to describe patient characteristics and demographic and clinical data and is reported as number (n), range, mean, standard deviation, and percentages.
As the secondary outcome variable was to determine refeeding complications, binomial logistic regression was used to analyse the following dependent variables: hypophosphatemia, hypomagnesaemia, hypokalaemia, and oedema. Analysis was carried out to determine the effects of the following pre- and posttreatment predictor variables. Continuous variables included prescribed calories on admission, admission kcal/kg, admission weight, admission BMI, admission % median BMI (%MBMI), change in %MBMI, duration of admission, total weight gain, and average weight gain per week. The categorical variables analysed included vomiting, laxative use, bradycardia on admission, use of NG tubes, and continuous NG feeding which were tested. A p value <0.05 was required for statistical significance.
The study was approved by the Western Sydney Local Health District Human Research Ethics Committee.
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