BACKGROUND: Chronic protein-energy wasting, termed malnutrition-inflammation complex syndrome, is frequent in patients with chronic kidney disease and is associated with anemia, morbidity, and mortality in patients on maintenance dialysis therapy. The Malnutrition-Inflammation Score (MIS) recently has been developed and validated in dialysis patients. STUDY DESIGN: Observational cross-sectional study. SETTING & PARTICIPANTS: 993 prevalent kidney transplant recipients. PREDICTOR: MIS computed from change in body weight, dietary intake, gastrointestinal symptoms, functional capacity, comorbid conditions, decreased fat store/Systemic Global Assessment, signs of muscle wasting/Systemic Global Assessment, body mass index, serum albumin level, and serum transferrin level. OUTCOMES: Markers of inflammation and malnutrition, including serum C-reactive protein, interleukin 6, tumor necrosis factor alpha, serum leptin, prealbumin, body mass index, and abdominal circumference. The relationship was modeled by using structural equation models. RESULTS: Mean age was 51 +/- 13 years, 57% were men, and 21% had diabetes. Median time from transplant was 72 months. MIS significantly correlated with abdominal circumference (r = -0.144), serum C-reactive protein level (r = 0.094), serum interleukin 6 level (r = 0.231), and serum tumor necrosis factor alpha level (r = 0.102; P < 0.01 for all). A structural equation model with 2 latent variables (malnutrition and inflammation factor) showed good fit to the observed data. LIMITATIONS: Single-center study, lack of information about vascular access, presence of nonfunctioning kidney transplant, relatively high refusal rate. CONCLUSIONS: Our results confirm that MIS reflects both energy-protein wasting and inflammation in kidney transplant recipients. This simple instrument appears to be a useful tool to assess the presence of protein-energy wasting in this patient population.
BACKGROUND: Chronic protein-energy wasting, termed malnutrition-inflammation complex syndrome, is frequent in patients with chronic kidney disease and is associated with anemia, morbidity, and mortality in patients on maintenance dialysis therapy. The Malnutrition-Inflammation Score (MIS) recently has been developed and validated in dialysis patients. STUDY DESIGN: Observational cross-sectional study. SETTING & PARTICIPANTS: 993 prevalent kidney transplant recipients. PREDICTOR: MIS computed from change in body weight, dietary intake, gastrointestinal symptoms, functional capacity, comorbid conditions, decreased fat store/Systemic Global Assessment, signs of muscle wasting/Systemic Global Assessment, body mass index, serum albumin level, and serum transferrin level. OUTCOMES: Markers of inflammation and malnutrition, including serum C-reactive protein, interleukin 6, tumor necrosis factor alpha, serum leptin, prealbumin, body mass index, and abdominal circumference. The relationship was modeled by using structural equation models. RESULTS: Mean age was 51 +/- 13 years, 57% were men, and 21% had diabetes. Median time from transplant was 72 months. MIS significantly correlated with abdominal circumference (r = -0.144), serum C-reactive protein level (r = 0.094), serum interleukin 6 level (r = 0.231), and serum tumor necrosis factor alpha level (r = 0.102; P < 0.01 for all). A structural equation model with 2 latent variables (malnutrition and inflammation factor) showed good fit to the observed data. LIMITATIONS: Single-center study, lack of information about vascular access, presence of nonfunctioning kidney transplant, relatively high refusal rate. CONCLUSIONS: Our results confirm that MIS reflects both energy-protein wasting and inflammation in kidney transplant recipients. This simple instrument appears to be a useful tool to assess the presence of protein-energy wasting in this patient population.
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Authors: F Cortazar; M Z Molnar; T Isakova; M E Czira; C P Kovesdy; D Roth; I Mucsi; M Wolf Journal: Am J Transplant Date: 2011-11-04 Impact factor: 8.086
Authors: A Gaipov; O Cseprekal; P K Potukuchi; K Kabulbayev; A Remport; Z Mathe; M Talwar; V Balaraman; T Fülöp; J D Eason; I Mucsi; C P Kovesdy; M Z Molnar Journal: Osteoporos Int Date: 2018-11-19 Impact factor: 4.507