Association of incident restless legs syndrome with outcomes in a large cohort of US veterans

Restless legs syndrome is a common sleep disorder, but there is a paucity of large cohort studies examining the association of restless legs syndrome with clinical outcomes, including all‐cause mortality, incident coronary heart disease, stroke and chronic kidney disease. From a nationally representative prospective cohort of over 3 million US veterans [93% male, median follow‐up time of 8.1 years (interquartile range: 7.0–8.5 years)] with baseline estimated glomerular filtration rate ≥60 mL min^?1 1.73 m^?2, a propensity‐matched cohort of 7392 patients was created, and the association between incident restless legs syndrome and the following was examined: (1) all‐cause mortality; (2) incident coronary heart disease; (3) incident strokes; and (4) incident chronic kidney disease defined as estimated glomerular filtration rate <60 mL min^?1 1.73 m^?2. Associations were examined using Cox models. The mean ± SD age of the propensity‐matched cohort at baseline was 59 ± 12 years; 89 and 8% of patients were white and black, respectively; 31% of the patients were diabetic; and the mean baseline estimated glomerular filtration rate was 83.9 ± 15.1 mL min^?1 1.73 m^?2. Propensity matching resulted in a balanced cohort, with the disappearance in baseline differences in comorbidities. Compared with restless legs syndrome‐negative patients, incident restless legs syndrome was associated with 88% higher mortality risk [hazard ratio and 95% confidence interval: 1.88 (1.70–2.08)], and almost four times higher risk of coronary heart disease and stroke [hazard ratio: 3.97 (3.26–4.84) and 3.89 (3.07–4.94), respectively]. The risk of incident chronic kidney disease was also significantly higher in incident restless legs syndrome patients [hazard ratio: 3.17 (2.74–3.66)] compared with restless legs syndrome‐negative counterparts. In this large and contemporary cohort of US veterans, incident restless legs syndrome was associated with higher risk of mortality, incident coronary heart disease, stroke and chronic kidney disease.     

A modified quantitative subjective global assessment of nutrition for dialysis patients.

BACKGROUND: Malnutrition, a predictor of increased mortality in dialysis patients, can be estimated using the subjective global assessment (SGA), a semiquantitative scale with three severity levels. This semiquantitative feature restricts the SGA's reliability and precision. METHODS: Using the components of the conventional SGA, we developed a fully quantitative scoring system (the dialysis malnutrition score) consisting of seven variables: weight change, dietary intake, gastrointestinal symptoms, functional capacity, comorbidity, subcutaneous fat and signs of muscle wasting. Each component was assigned a score from 1 (normal) to 5 (very severe). The sum of all seven components in this malnutrition score lies between 7 (normal) and 35 (severely malnourished). To evaluate nutritional status in chronic dialysis patients, anthropometric measurements including mid-arm circumference (MAC), triceps skin-fold thickness, calculated mid-arm muscle circumference (MAMC), body mass index (BMI, ratio of weight to square of height) and laboratory parameters were used. Forty-one patients (20 men and 21 women) were randomly selected from a pool of 120 haemodialysis patients. Patients were aged between 26 and 81 years (mean SD, 57 +/- 12 years) and had undergone haemodialysis for between 7 months and 12 years (mean +/- SD, 3.0 +/- 2.1 years). RESULTS: The malnutrition score of each patient was assessed by a dietitian within 5-20 min (12.0 +/- 3.5 min) with no knowledge of anthropometric findings. Pearson correlation coefficients between the malnutrition score and biceps skin-fold (r= -0.32) MAC (r= -0.55), MAMC (r= -0.66), BMI (r= -0.35), total iron-binding capacity (TIBC, r= -0.77), the serum albumin concentration (r= -0.36) and total protein (r= -0.33) were all significant, whereas the conventional SGA had significant correlation only with TIBC (r= -0.35) and MAMC (r= -0.37). Malnutrition score showed a significant correlation with age (r= +0.34) and years dialysed (r= +0.28). Multiple regression analysis showed a significant correlation between the malnutrition score and the combination of the MAMC, BMI, serum albumin concentration and TIBC (r= 0.81, P<0.001). There was no correlation between the malnutrition score and sex, urea reduction ratio, protein catabolic rate, and the absolute lymphocyte count. CONCLUSIONS: We conclude that our invented malnutrition score, which can be performed in minutes, reliably assesses the nutritional status of haemodialysis patients. We suggest that our malnutrition score may be superior to the SGA. More comparative and longitudinal studies are needed to confirm the validity of this scoring system in nutritional evaluation of dialysis patients.