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Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali
BACKGROUND: This study evaluated the performance of a new weight estimation strategy (Mercy Method) with four existing weight-estimation methods (APLS, ARC, Broselow, and Nelson) in children from Ouelessebougou, Mali. METHODS: Otherwise healthy children, 2 mos to 16 yrs, were enrolled and weight, he...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4081652/ https://www.ncbi.nlm.nih.gov/pubmed/24650051 http://dx.doi.org/10.1186/1471-2458-14-270 |
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author | Dicko, Alassane Alhousseini, Mohamed Lamine Sidibé, Bouran Traoré, Moussa Abdel-Rahman, Susan M |
author_facet | Dicko, Alassane Alhousseini, Mohamed Lamine Sidibé, Bouran Traoré, Moussa Abdel-Rahman, Susan M |
author_sort | Dicko, Alassane |
collection | PubMed |
description | BACKGROUND: This study evaluated the performance of a new weight estimation strategy (Mercy Method) with four existing weight-estimation methods (APLS, ARC, Broselow, and Nelson) in children from Ouelessebougou, Mali. METHODS: Otherwise healthy children, 2 mos to 16 yrs, were enrolled and weight, height, humeral length (HL) and mid-upper arm circumference (MUAC) obtained by trained raters. Weight estimation was performed as described for each method. Predicted weights were regressed against actual weights. Agreement between estimated and actual weight was determined using Bland-Altman plots with log-transformation. Predictive performance of each method was assessed using residual error (RE), percentage error (PE), root mean square error (RMSE), and percent predicted within 10, 20 and 30% of actual weight. RESULTS: 473 children (8.1 ± 4.8 yr, 25.1 ± 14.5 kg, 120.9 ± 29.5 cm) participated in this study. The Mercy Method (MM) offered the best correlation between actual and estimated weight when compared with the other methods (r(2) = 0.97 vs. 0.80-0.94). The MM also demonstrated the lowest ME (0.06 vs. 0.92-4.1 kg), MPE (1.6 vs. 7.8-19.8%) and RMSE (2.6 vs. 3.0-6.7). Finally, the MM estimated weight within 20% of actual for nearly all children (97%) as opposed to the other methods for which these values ranged from 50-69%. CONCLUSIONS: The MM performed extremely well in Malian children with performance characteristics comparable to those observed for U.S and India and could be used in sub-Saharan African children without modification extending the utility of this weight estimation strategy. |
format | Online Article Text |
id | pubmed-4081652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40816522014-07-05 Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali Dicko, Alassane Alhousseini, Mohamed Lamine Sidibé, Bouran Traoré, Moussa Abdel-Rahman, Susan M BMC Public Health Research Article BACKGROUND: This study evaluated the performance of a new weight estimation strategy (Mercy Method) with four existing weight-estimation methods (APLS, ARC, Broselow, and Nelson) in children from Ouelessebougou, Mali. METHODS: Otherwise healthy children, 2 mos to 16 yrs, were enrolled and weight, height, humeral length (HL) and mid-upper arm circumference (MUAC) obtained by trained raters. Weight estimation was performed as described for each method. Predicted weights were regressed against actual weights. Agreement between estimated and actual weight was determined using Bland-Altman plots with log-transformation. Predictive performance of each method was assessed using residual error (RE), percentage error (PE), root mean square error (RMSE), and percent predicted within 10, 20 and 30% of actual weight. RESULTS: 473 children (8.1 ± 4.8 yr, 25.1 ± 14.5 kg, 120.9 ± 29.5 cm) participated in this study. The Mercy Method (MM) offered the best correlation between actual and estimated weight when compared with the other methods (r(2) = 0.97 vs. 0.80-0.94). The MM also demonstrated the lowest ME (0.06 vs. 0.92-4.1 kg), MPE (1.6 vs. 7.8-19.8%) and RMSE (2.6 vs. 3.0-6.7). Finally, the MM estimated weight within 20% of actual for nearly all children (97%) as opposed to the other methods for which these values ranged from 50-69%. CONCLUSIONS: The MM performed extremely well in Malian children with performance characteristics comparable to those observed for U.S and India and could be used in sub-Saharan African children without modification extending the utility of this weight estimation strategy. BioMed Central 2014-03-21 /pmc/articles/PMC4081652/ /pubmed/24650051 http://dx.doi.org/10.1186/1471-2458-14-270 Text en Copyright © 2014 Dicko et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Dicko, Alassane Alhousseini, Mohamed Lamine Sidibé, Bouran Traoré, Moussa Abdel-Rahman, Susan M Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali |
title | Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali |
title_full | Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali |
title_fullStr | Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali |
title_full_unstemmed | Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali |
title_short | Evaluation of the Mercy weight estimation method in Ouelessebougou, Mali |
title_sort | evaluation of the mercy weight estimation method in ouelessebougou, mali |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4081652/ https://www.ncbi.nlm.nih.gov/pubmed/24650051 http://dx.doi.org/10.1186/1471-2458-14-270 |
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