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CORRELATION BETWEEN ANTHROPOMETRY, BIOCHEMICAL MARKERS AND SUBJECTIVE GLOBAL ASSESSMENT Ã?¢Ã?â?¬Ã?â?? DIALYSIS MALNUTRITION SCORE AS PREDICTORS OF NUTRITIONAL STATUS OF THE MAINTENANCE HEMODIALYSIS PATIENTS | Abstract
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International Journal of Medical Research & Health Sciences (IJMRHS)
ISSN: 2319-5886 Indexed in: ESCI (Thomson Reuters)

Abstract

CORRELATION BETWEEN ANTHROPOMETRY, BIOCHEMICAL MARKERS AND SUBJECTIVE GLOBAL ASSESSMENT Ã?¢Ã?â?¬Ã?â?? DIALYSIS MALNUTRITION SCORE AS PREDICTORS OF NUTRITIONAL STATUS OF THE MAINTENANCE HEMODIALYSIS PATIENTS

Author(s):Vanitha Rani N, S. Kavimani, Soundararajan P, Chamundeeswari D, Kannan Gopal

Background: Protein energy malnutrition is the major cause of poor prognostic outcome in patients on maintenance hemodialysis (MHD). The assessment of nutritional status in patients on maintenance hemodialysis should be done both subjectively and objectively by integrating clinical, biochemical and anthropometric measurements. A study was conducted to assess the possible correlations between the subjective global assessment-dialysis malnutrition score (SGA-DMS), anthropometric measurements, and biochemical parameters in hemodialysis patients. Methods: The study included 90 patients (55 males and 35 females; age range of 25 to 73 years; mean age 52.62 ± 11.7 years) undergoing twice/thrice weekly maintenance hemodialysis for six months and above in the dialysis unit of a tertiary care teaching hospital. The MHD patients were assessed by SGA -DMS, anthropometry and biochemical indicators (serum albumin, iron, ferritin and transferrin) of nutritional status. Results: According to the SGA-DMS 54.4 % were moderate to severely malnourished, 31% were mild to moderately nourished and 14.4% were well nourished. There was a highly significant negative correlation between SGA –DMS and serum albumin, iron, transferrin; positive correlation between SGA-DMS and ferritin (P<0.0001). Body mass index, upper arm circumferences, and skin fold thickness had a highly significant negative correlation with SGA-DMS (P<0.001), where as the lean body mass, total body water and the fat free mass had a significant negative correlation (P<0.05). Conclusion: SGA-DMS correlated with anthropometric and biochemical parameters that are indicative of nutritional status. SGA –DMS used in conjunction with other objective nutritional assessment methods may be of greater impact in determining nutritional status of hemodialysis patients.


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