AIM: To evaluate the nutritional status and its association with proinflammatory cytokines in @entity1 with @entity409 . METHODS: We performed a cross-sectional study with 43 @entity1 and adolescents, aged 0 to 17 years, diagnosed with @entity409 . All @entity1 regularly attended the Pediatric Hepatology Unit and were under nutritional follow up. The exclusion criteria were fever from any etiology at the time of enrollment, @entity2246 and any @entity102 . The severity of @entity409 was assessed by @entity1 -Pugh, @entity3851 ( @entity3851 ) and @entity3851 ( @entity3851 ) scores. Anthropometric parameters were height/age, body mass index/age and triceps skinfold/age according to World Health Organization standards. The cutoff points for nutritional status were risk of @entity3147 (Z-score < -1.00) and @entity3147 (Z-score < -2.00). @entity1356 ( @entity1356 ), @entity650 and @entity5 @entity39 factor-a levels were assessed by commercial ELISA kits. For multivariate analysis, linear regression was applied to assess the association between cytokine levels, disease severity and nutritional status. RESULTS: The median (25(th)-75(th) centile) age of the study population was 60 (17-116)-mo-old, and 53.5% were female. @entity2876 was the main cause of @entity409 (72%). With respect to @entity1 -Pugh score, cirrhotic @entity1 were distributed as follows: 57.1% @entity1 -Pugh A, a mild presentation of the disease, 34.3% @entity1 -Pugh B, a moderate stage of @entity82 and 8.6% @entity1 -Pugh C, were considered severe cases. @entity3851 and @entity3851 scores were only above the cutoff point in 5 cases. @entity650 values       were increased in @entity1 at nutritional risk (34.9%) compared with those who were well-nourished [7.12 (0.58-34.23) pg/mL vs 1.63 (0.53-3.43) pg/mL; P = 0.02], correlating inversely with triceps skinfold-for-age z-score (rs = -0.61; P < 0.001). @entity650 levels were associated with @entity409 severity assessed by @entity1 -Pugh score (P = 0.001). This association remained significant after adjusting for nutritional status in a linear regression model. CONCLUSION: High @entity650 levels were found in @entity1 with @entity409 at nutritional risk. Inflammatory activity may be related to nutritional status deterioration in these @entity1 .

Serum proinflammatory cytokines and nutritional status in pediatric XXXX .

@entity1 :: ('9606', 'Species') :: ['Child', 'children', 'patients'] @entity650 :: ('3569', 'Gene') :: ['IL-6'] @entity82 :: ('MESH:D005355', 'Disease') :: ['cirrhosis'] @entity1356 :: ('3553', 'Gene') :: ['IL-1b', 'Interleukin-1b'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor'] @entity39 :: ('MESH:D009336', 'Disease') :: ['necrosis'] @entity409 :: ('MESH:D008107', 'Disease') :: ['chronic liver disease', 'liver disease'] @entity102 :: ('MESH:D002908', 'Disease') :: ['chronic illness'] @entity3851 :: ('MESH:D058625', 'Disease') :: ['Model for End-stage Liver Disease', 'MELD', 'PELD', 'Pediatric End Stage Liver Disease'] @entity3147 :: ('MESH:D044342', 'Disease') :: ['malnutrition'] @entity2876 :: ('MESH:D001656', 'Disease') :: ['Biliary atresia'] @entity2246 :: ('MESH:D008661', 'Disease') :: ['inborn errors of the metabolism']
@entity409 :: (MESH:D008107,Disease) :: ['chronic liver disease']
