Localising Structured Lifestyle Intervention for Dietary Management Success

@#The growing prevalence of type 2 diabetes mellitus (T2DM) and the parallel increase in the prevalence of obesity warrants for effective intervention strategies. Overweight/obese patients with T2DM who attempt weight reduction often face considerable challenges. A recent study in Malaysia conducted among overweight/obese patients with T2DM showed that weight reduction and improved glycaemic control could be achieved with structured lifestyle intervention and the incorporation of behavioural counselling. The structured lifestyle recommendations in this study consisted of 1) a fixed low-calorie diet plan of 1200 kcal/day for female and 1500 kcal/day for male patients; 2) incorporation of one or two servings/day of diabetes-specific formula as a meal replacement; 3) a 14-day structured meal plan consisting of the ingredients list, cooking methods and nutrition facts; and the 4) healthy low-calorie snack options. Exercise prescription of ≥150 min/week of moderate-intensity was also encouraged. Behavioural counselling such as motivational interviewing not only facilitated adherence to the lifestyle recommendations but also further enhanced weight loss and glycaemic control in these patients. This article outlines the localisation of the structured lifestyle recommendations and its effectiveness in achieving weight loss and good glycaemic control in overweight/obese patients with T2DM.

Dialysis Malnutrition and Malnutrition Inflammation Scores: screening tools for prediction of dialysis-related protein-energy wasting in Malaysia.

BACKGROUND AND OBJECTIVES: Malnutrition is highly prevalent in Malaysian dialysis patients and there is a need for a valid screening tool for early identification and management. This cross-sectional study aims to examine the sensitivity of the Dialysis Malnutrition Score (DMS) and Malnutrition Inflammation Score (MIS) tools in predicting protein-energy wasting (PEW) among Malaysian dialysis patients. METHODS AND STUDY DESIGN: A total of 155 haemodialysis (HD) and 90 peritoneal dialysis (PD) patients were screened for risk of malnutrition using DMS and MIS and comparisons were made with established guidelines by International Society of Renal Nutrition and Metabolism (ISRNM) for PEW. RESULTS: MIS cut-off score of >=5 indicated presence of malnutrition in all patients. A total of 59% of HD and 83% of PD patients had PEW by ISRNM criteria. Based on DMS, 73% of HD and 71% of PD patients exhibited moderate malnutrition, whilst using MIS, 88% and 90%, respectively were malnourished. DMS and MIS correlated significantly in HD (r2=0.552, p<0.001) and PD (r2=0.466, p<0.001) patients. DMS and MIS had higher sensitivity values in PD (81% and 82%, respectively) compared to HD (59% and 60%, respectively) patients. CONCLUSIONS: The MIS cut-off scores for malnutrition classification were established (score >=5) for use amongst Malaysian dialysis patients. Both DMS and MIS are valid tools to be used for nutrition screening of dialysis patients especially those undergoing peritoneal dialysis. The DMS may be a more practical and simpler tool to be utilized in the Malaysian dialysis settings as it does not require laboratory markers.

Assessing protein energy wasting in a Malaysian haemodialysis population using self-reported appetite rating: a cross-sectional study.

BACKGROUND: Poor appetite could be indicative of protein energy wasting (PEW) and experts recommend assessing appetite in dialysis patients. Our study aims to determine the relationship between PEW and appetite in haemodialysis (HD) patients. METHODS: HD patients (n=205) self-rated their appetite on a scale of 1 to 5 as very good (1), good (2), fair (3), poor (4) or very poor (5). Nutritional markers were compared against appetite ratings. Using logistic regression analysis associations between dichotomized appetite with PEW diagnosis were determined as per the International Society of Renal Nutrition and Metabolism (ISRNM) criteria and alternate objective measures. Data was adjusted for socioeconomic and demographic characteristics. RESULTS: Poorer appetite ratings were significantly associated with lower income (P = 0.021), lower measurements (P < 0.05) for mid-arm muscle circumference, mid-arm muscle area and lean tissue mass (LTM), serum urea (P = 0.007) and creatinine (P = 0.005). The highest hsCRP (P = 0.016) levels occurred in patients reporting the poorest appetite. Serum albumin did not differ significantly across appetite ratings. Poor oral intake represented by underreporting (EI/BMR < 1.2) was evident for all appetite ratings. PEW was prevalent irrespective of appetite ratings (very good: 17.6 %, good: 40.2 %, fair: 42.3 % and poor: 83.3 %). After dichotomizing appetite ratings into normal and diminished categories, there was a marginal positive association between diminished appetite and overall PEW diagnosis (OR adj: 1.71; 95 % CI: 0.94-3.10, P = 0.079). Amongst individual ISRNM criteria, only BMI < 23 kg/m2 was positively associated with diminished appetite (OR adj: 2.17; 95 % CI: 1.18-3.99). However, patients reporting diminished appetite were more likely to have lower LTM (OR adj: 2.86; 95 % CI: 1.31-6.24) and fat mass (OR adj: 1.91; 95 % CI: 1.03-3.53), lower levels of serum urea (OR adj: 2.74; 95 % CI: 1.49-5.06) and creatinine (OR adj: 1.99; 95 % CI: 1.01-3.92), higher Dialysis Malnutrition Score (OR adj: 2.75; 95 % CI: 1.50-5.03), Malnutrition Inflammation Score (OR adj: 2.15; 95 % CI: 1.17-3.94), and poorer physical (OR adj: 3.49; 95 % CI: 1.89-6.47) and mental (OR adj: 5.75; 95 % CI: 3.02-10.95) scores. CONCLUSIONS: A graded but non-significant increase in the proportion of PEW patients occurred as appetite became poorer. However, after dichotomization, a positive but marginally significant association was observed between diminished appetite and PEW diagnosis.