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Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis
BACKGROUND: Weight for length z-score (WLZ) < − 3 is currently used to define severe acute malnutrition (SAM) among infants. However, this approach has important limitations for infants younger than 6 months of age as WLZ cannot be calculated using WHO growth standards if infant length is < 45...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017622/ https://www.ncbi.nlm.nih.gov/pubmed/33794826 http://dx.doi.org/10.1186/s12887-021-02629-9 |
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author | Chowdhury, Ranadip Nitika Choudhary, Tarun Shankar Taneja, Sunita Martines, Jose Bhandari, Nita Bahl, Rajiv |
author_facet | Chowdhury, Ranadip Nitika Choudhary, Tarun Shankar Taneja, Sunita Martines, Jose Bhandari, Nita Bahl, Rajiv |
author_sort | Chowdhury, Ranadip |
collection | PubMed |
description | BACKGROUND: Weight for length z-score (WLZ) < − 3 is currently used to define severe acute malnutrition (SAM) among infants. However, this approach has important limitations for infants younger than 6 months of age as WLZ cannot be calculated using WHO growth standards if infant length is < 45 cm. Moreover, length for age z-score (LAZ) and weight for length z-score (WLZ) are least reliable measures, with high chances of variation, and less chances of detecting undernutrition in under 6 months infants. The objective of the current analysis was to compare WLZ with WAZ and LAZ in a cohort of Indian infants in predicting the deaths between 6 weeks and 6 months of age. METHODS: The data was from an individually randomized trial conducted in slums of Delhi, India in which infants’ weight and length were measured at 6 weeks of age (at the time of the first immunization visit). Vital status of the infants was documented from 6 weeks to 6 months of age. The sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios were calculated for WAZ < -3, WLZ < -3, and LAZ < -3 for deaths between 6 weeks and 6 months of age. The receiver operating characteristics curve was calculated for each of the above anthropometric indicators. RESULTS: For deaths occurring between 6 weeks to 6 months of age, the specificity ranged between 85.9–95.9% for all three anthropometric indicators. However, the sensitivity was considerably higher for WAZ; it was 64.6% for WAZ < -3, 39.1% for LAZ < -3, and 25.0% for WLZ < -3. WAZ < -3 had higher area under curve (0.75; 95% CI: 0.68, 0.82) and hence, better discriminated deaths between 6 weeks and 6 months of age than WLZ < -3. The adjusted relative risk (RR 10.6, 95% CI 5.9, 18.9) and the population attributable fraction (PAF 57.9, 95% CI 38.8, 71.0%) of mortality was highest for WAZ < -3. CONCLUSIONS: We found WAZ < -3 at 6 weeks of age to be a better predictor of death in the 6 weeks to 6 months of life in comparison to WLZ < -3 and LAZ < -3 and propose that it should be considered to diagnose SAM in this age group. |
format | Online Article Text |
id | pubmed-8017622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80176222021-04-02 Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis Chowdhury, Ranadip Nitika Choudhary, Tarun Shankar Taneja, Sunita Martines, Jose Bhandari, Nita Bahl, Rajiv BMC Pediatr Research Article BACKGROUND: Weight for length z-score (WLZ) < − 3 is currently used to define severe acute malnutrition (SAM) among infants. However, this approach has important limitations for infants younger than 6 months of age as WLZ cannot be calculated using WHO growth standards if infant length is < 45 cm. Moreover, length for age z-score (LAZ) and weight for length z-score (WLZ) are least reliable measures, with high chances of variation, and less chances of detecting undernutrition in under 6 months infants. The objective of the current analysis was to compare WLZ with WAZ and LAZ in a cohort of Indian infants in predicting the deaths between 6 weeks and 6 months of age. METHODS: The data was from an individually randomized trial conducted in slums of Delhi, India in which infants’ weight and length were measured at 6 weeks of age (at the time of the first immunization visit). Vital status of the infants was documented from 6 weeks to 6 months of age. The sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios were calculated for WAZ < -3, WLZ < -3, and LAZ < -3 for deaths between 6 weeks and 6 months of age. The receiver operating characteristics curve was calculated for each of the above anthropometric indicators. RESULTS: For deaths occurring between 6 weeks to 6 months of age, the specificity ranged between 85.9–95.9% for all three anthropometric indicators. However, the sensitivity was considerably higher for WAZ; it was 64.6% for WAZ < -3, 39.1% for LAZ < -3, and 25.0% for WLZ < -3. WAZ < -3 had higher area under curve (0.75; 95% CI: 0.68, 0.82) and hence, better discriminated deaths between 6 weeks and 6 months of age than WLZ < -3. The adjusted relative risk (RR 10.6, 95% CI 5.9, 18.9) and the population attributable fraction (PAF 57.9, 95% CI 38.8, 71.0%) of mortality was highest for WAZ < -3. CONCLUSIONS: We found WAZ < -3 at 6 weeks of age to be a better predictor of death in the 6 weeks to 6 months of life in comparison to WLZ < -3 and LAZ < -3 and propose that it should be considered to diagnose SAM in this age group. BioMed Central 2021-04-01 /pmc/articles/PMC8017622/ /pubmed/33794826 http://dx.doi.org/10.1186/s12887-021-02629-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Chowdhury, Ranadip Nitika Choudhary, Tarun Shankar Taneja, Sunita Martines, Jose Bhandari, Nita Bahl, Rajiv Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis |
title | Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis |
title_full | Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis |
title_fullStr | Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis |
title_full_unstemmed | Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis |
title_short | Diagnostic measures for severe acute malnutrition in Indian infants under 6 months of age: a secondary data analysis |
title_sort | diagnostic measures for severe acute malnutrition in indian infants under 6 months of age: a secondary data analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017622/ https://www.ncbi.nlm.nih.gov/pubmed/33794826 http://dx.doi.org/10.1186/s12887-021-02629-9 |
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