HIV-infected patients who were managed by pharmacists in a DOC demonstrated significant improvement from baseline in their CD4+ lymphocyte counts, viral loads, and drug-related toxicities.

Background: Restless legs syndrome (RLS) is a movement disorder that affects 6.6–62% of dialysis patients. The aims of this multicentre cross-sectional study were to document the frequency, prevalence and severity of RLS in patients attending 5 dialysis centres for chronic hospital haemodialysis (HHD) and to identify associated risk factors. Methods: Thediagnosis of RLS was made using the criteria of The International Restless Legs Study Group. The following data were collected: age; gender; duration of renal replacement therapy (RRT); current smoking status; urea reduction ratio; weekly erythropoietin dose; weekly intravenous iron dose; prescribed beta blocker; prescribed renin/angiotensin system inhibitors and pre-dialysis blood concentrations of haemoglobin, ferritin, total calcium (corrected for albumin), albumin, phosphate, parathyroid hormone. Associations with RLS were analysed by univariate and multivariate logistic regression. Results: Data relating to 277 of 295 patients who had been attending for regular HHD for >3 months were collected. RLS was present in 127 (45.8%). 82 (29.6%), 27 (9.7%) and 18 (6.5%) patients had mild, moderate and severe RLS, respectively. 39 patients (14.1%) were prescribed medicines aimed at reducing RLS. 30 (76.9%) of these 39 patients still had RLS. Female gender (RR 2.17; p = 0.01), increasing duration since first dialysis (RR 1.06 per year; p = 0.03) and increasing body weight(RR 1.02 per kg; p = 0.02) were independent risk factors for RLS by multivariate analysis. In contrast to previous studies, we found no association with iron status, haemoglobin, serum phosphate or smoking. Conclusions: There is a high prevalence of RLS in our population and therapeutic intervention appears to have limited efficacy. The associations with female gender, duration of RRT and body weight deserve further study.

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Background: Accurate dietary intake data are critical to nutrition care planning. Commonly used food record charts (FRC) are paper-based, time consuming, require nutrient analysis estimations, and may provide limited accuracy. The present study aimed to validate Mobile Intake ® (MI) (an electronic food intake tool incorporating the five-point visual scale and providing automatic nutrient analysis) for usability and efficacy in quantifying dietary intake in the healthcare setting. Methods: Two research stages within two tertiary hospitals included: (1) examining criterion validity and efficiency of dietary intake quantification using FRC and MI compared to the gold standard weighed food record (WFR) in a controlled environment and (2) comparing efficiency and effectiveness of FRC and MI in usual care conditions. Results: In Stage 1, dietary intake was calculated (n = 90) with a significant difference across all methods (FRC, MI and WFR) for energy (p = 0.04), but not between MI and WFR (p = 1.00). The time taken for MI (40 s) was significantly less than FRC (174 s) and WFR (371 s) (p < 001). In Stage 2, dietary intake was determined (n = 210) using FRC and MI. Sufficient data to complete dietary analysis were available for 35% of meals from FRC compared to 98% from MI. Calculated mean daily energy intake (4764 ± 1432 kJ vs. 6636 ± 2519 kJ, p = 0.002) and mean daily protein intake (62.9 ± 12.7 g vs. 78.5 ± 22.2 g, p = 0.007) were significantly lower with FRC compared to MI. Average time to complete MI was 14.4 seconds. Conclusions: MI demonstrates efficacy as an accurate measure of dietary intake compared to WFR, as well as usability, providing faster, more accurate and comprehensive real-time intake data in practice than FRC.