Association of Malnutrition Inflammation Score With Anthropometric Parameters, Depression, and Quality of Life in Hemodialysis Patients


GENÇER F. , YILDIRAN H. , ERTEN Y.

JOURNAL OF THE AMERICAN COLLEGE OF NUTRITION, cilt.38, sa.5, ss.457-462, 2019 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Konu: 5
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1080/07315724.2018.1550371
  • Dergi Adı: JOURNAL OF THE AMERICAN COLLEGE OF NUTRITION
  • Sayfa Sayıları: ss.457-462

Özet

Objective: Hemodialysis patients may be at risk for malnutrition due to catabolic effects caused by dialysis, loss of amino acids, inadequate nutrient intake, acidosis, and inflammation. Malnutrition may have negative effects on quality of life, mortality, and disease prognosis. This study was conducted to determine the relationship between anthropometric parameters, depression, and quality of life with Malnutrition Inflammation Score (MIS) on 55 patients aged between 18 and 65 years (36 males and 19 females) who have dialysis treatment for 3 days per week for at least 3 months due to end-stage renal disease. Methods: Patients were evaluated with MIS, Subjective Global Assessment (SGA), Beck Depression Inventory (BDI), and Satisfaction with Life Scale (SWLS). In addition, anthropometric (body weight, height, mid-upper arm circumference [MUAC]) and body composition measurements of patients were taken, body mass index (BMI) values were calculated, and biochemical parameters (albumin, C-reactive protein [CRP], and total iron binding capacity [TIBC]) were analyzed. Results: At the end of the study, 14.5% of the patients according to SGA, were classified as malnourished. There was a statistically significant positive correlation of BDI, duration of dialysis, and CRP with MIS. However, MIS had a statistically significant negative correlation with SWLS, body weight, and MUAC (p < 0.05). Conclusion: MIS is an effective screening tool for assessing malnutrition and quality of life in hemodialysis patients. However, there is a need for studies to identify cutoff points of MIS.