MIS and SGA Indices as Predictors of Mortality and Their Relationship with Nutrition Parameters in Hemodialysis Patients (P18-009-19)
Other Scholarly Work
Diaz-Martinez, Janet, Martinez-Motta, Preciosa, Campa, Adriana et al. (2019). MIS and SGA Indices as Predictors of Mortality and Their Relationship with Nutrition Parameters in Hemodialysis Patients (P18-009-19)
. 3(Suppl 1),
Diaz-Martinez, Janet, Martinez-Motta, Preciosa, Campa, Adriana et al. (2019). MIS and SGA Indices as Predictors of Mortality and Their Relationship with Nutrition Parameters in Hemodialysis Patients (P18-009-19)
. 3(Suppl 1),
To compare the value of Subjective Global Assessment (SGA) and Malnutrition-Inflammation Score (MIS) for the prediction of mortality and examine their relationship with other nutritional parameters.
Methods
Nutrition status was assessed at baseline by SGA and MIS; albumin, protein catabolic rate (nPCR) were obtained from chart; 24-hr dietary recalls were used to estimate daily dietary protein intake (DPI) and dietary energy intake (DEI). Deaths were recorded for 12 months
Results
Seventy-seven participants receiving HD were included, with a mean age of 63.2 ± 14.2 years; 71.2% were male, 58.4% had diabetes and the average time on dialysis was 6.2 ± 4.2 years. The Mean ± SD of nPCR was 0.9 ± 0.2, albumin was 3.8 ± 0.3, DEI was 1867.3 ± 367.9 kcal/kg and DPI was 80.0 ± 15.8 gm/kg. MIS ≥ 6 and SGA > 1 were used as cut-off values to detect malnourished participants; 46% were malnourished by MIS vs. 35% by SGA. Albumin, nPCR, DPI and DEI were all inversely correlated with both indices (P < 0.05).Ten patients (13%) died of cardiovascular disease. Well-nourished participants with MIS < 6 lived longer (11.8 months, CI 95%, 11.6–12.1) than malnourished with MIS ≥ 6 (10.9 months, CI 95%, 10.1–11.7) (Log Rank P = 0.04). MIS was a significant predictor of mortality, while SGA did not reach significance (P = 0.264).
Conclusions
MIS was a more sensitive index to detect malnutrition than SGA among HD patients. Only MIS was a significant predictor of mortality. Both indices were strongly correlated to the examined nutrition parameters.
