A malnutrition-inflammation score is correlated with morbidity and mortality in maintenance hemodialysis patients.
Malnutrition inflammation complex syndrome (MICS) occurs commonly in maintenance hemodialysis (MHD) patients and may correlate with increased morbidity and mortality. An optimal, comprehensive, quantitative system that assesses MICS could be a useful measure of clinical status and may be a predictor of outcome in MHD patients. We therefore attempted to develop and validate such an instrument, comparing it with conventional measures of nutrition and inflammation, as well as prospective hospitalization and mortality. Using components of the conventional Subjective Global Assessment (SGA), a semiquantitative scale with three severity levels, the Dialysis Malnutrition Score (DMS), a fully quantitative scoring system consisting of 7 SGA components, with total score ranging between 7 (normal) and 35 (severely malnourished), was recently developed. To improve the DMS, we added three new elements to the 7 DMS components: body mass index, serum albumin level, and total iron-binding capacity to represent serum transferrin level. This new comprehensive Malnutrition-Inflammation Score (MIS) has 10 components, each with four levels of severity, from 0 (normal) to 3 (very severe). The sum of all 10 MIS components ranges from 0 to 30, denoting increasing degree of severity. These scores were compared with anthropometric measurements, near-infrared-measured body fat percentage, laboratory measures that included serum C-reactive protein (CRP), and 12-month prospective hospitalization and mortality rates. Eighty-three outpatients (44 men, 39 women; age, 59 +/- 15 years) on MHD therapy for at least 3 months (43 +/- 33 months) were evaluated at the beginning of this study and followed up for 1 year. The SGA, DMS, and MIS were assessed simultaneously on all patients by a trained physician. Case-mix-adjusted correlation coefficients for the MIS were significant for hospitalization days (r = 0.45; P < 0.001) and frequency of hospitalization (r = 0.46; P < 0.001). Compared with the SGA and DMS, most pertinent correlation coefficients were stronger with the MIS. The MIS, but not the SGA or DMS, correlated significantly with creatinine level, hematocrit, and CRP level. During the 12-month follow-up, 9 patients died and 6 patients left the cohort. The Cox proportional hazard-calculated relative risk for death for each 10-unit increase in the MIS was 10.43 (95% confidence interval, 2.28 to 47.64; P = 0.002). The MIS was superior to its components or different subversions for predicting mortality. The MIS appears to be a comprehensive scoring system with significant associations with prospective hospitalization and mortality, as well as measures of nutrition, inflammation, and anemia in MHD patients. The MIS may be superior to the conventional SGA and the DMS, as well as to individual laboratory values, as a predictor of dialysis outcome and an indicator of MICS.
Kalantar-Zadeh
K
K
Division of Nephrology and Hypertension, Harbor-UCLA Medical Center and the University of California Los Angeles, Torrance, CA 90509-2910, USA. kkalantar@rei.edu
Kopple
J D
JD
Block
G
G
Humphreys
M H
MH
D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D000740:Anemia / Q000453:epidemiology; D000886:Anthropometry; D015992:Body Mass Index; D015897:Comorbidity; D005260:Female; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D007249:Inflammation / Q000145:classification* / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D015596:Nutrition Assessment; D009748:Nutrition Disorders / Q000145:classification* / Q000453:epidemiology; D017063:Outcome Assessment, Health Care / Q000379:methods*; D016016:Proportional Hazards Models; D006435:Renal Dialysis / Q000401:mortality / Q000706:statistics & numerical data*; D018570:Risk Assessment; D012495:San Francisco / Q000453:epidemiology; D012709:Serum Albumin / Q000032:analysis; D017678:Sex Distribution; D015996:Survival Rate; D013577:Syndrome
D012709:Serum Albumin