ArticleSAGE open medicine2014
Pilot validation of objective malnutrition-inflammation scores in pediatric and adolescent cohort on chronic maintenance dialysis.
Article in SAGE open medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Malnutrition in Chronic Kidney Disease.Frontiers in pediatrics · 2018Review
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2 authors.
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Abstract
backgroundIn recognition of the challenges inherent with the use of single-item indices for the diagnosis of malnutrition-inflammation morbidity in pediatric dialysis patients, to enhance accuracy, we validated a composite scoring system in a pilot study. The objective malnutrition-inflammation score seeks to validate the use of a composite scoring system as a tool for assessing malnutrition-inflammation burden in a pediatric dialysis population.
methodsWe enrolled 20 patients on hemodialysis (n = 14) and peritoneal dialysis (n = 6) over a period of 12 months. We derived composite scores from selected indices of renal pathology, nutrition, dialysis adequacy, protein catabolism, and dialysis modality. We assessed reliability by a test-retest method and measured validity by defining the relationship of the indices with serum C-reactive protein in a multiple regression analysis. We calculated sensitivity, specificity, accuracy, and precision for the malnutrition-inflammation score.
resultsThe mean age was 12.8 years (standard deviation = 6.1), and male-female ratio was 12:8. Patients (n = 8) with elevated serum C-reactive protein (>0.3 mg/dL) had higher composite score for malnutrition-inflammation morbidity. Similarly, the pediatric cohort on hemodialysis had higher score than those on peritoneal dialysis. Upon reliability testing, a low value of typical error (0.07) and high correlation coefficient (r = 0.95) supported validity of the instrument. Moreover, multiple regression analysis showed a strong predictive relationship (R(2) = 0.9, p = 0.03) between the indices and serum C-reactive protein. Sensitivity of malnutrition-inflammation score was 62.5%, specificity was 83%, accuracy was 75%, and precision was 71%.
conclusionUsing criterion-validation method, we established the potential use of multi-diagnostic approach to quantify malnutrition-inflammation morbidity in a pediatric dialysis cohort. Given the small sample size, large-scale population-specific studies are needed to ratify these findings and to demonstrate its clinical effectiveness.
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