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Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth - a four-year prospective study.

作者信息

Harrison Elizabeth, Syed Sana, Ehsan Lubaina, Iqbal Najeeha T, Sadiq Kamran, Umrani Fayyaz, Ahmed Sheraz, Rahman Najeeb, Jakhro Sadaf, Ma Jennie Z, Hughes Molly, Ali S Asad

机构信息

School of Medicine, University of Virginia, Charlottesville, VA, USA.

Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.

出版信息

BMC Pediatr. 2020 Oct 30;20(1):498. doi: 10.1186/s12887-020-02392-3.


DOI:10.1186/s12887-020-02392-3
PMID:33126871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7597024/
Abstract

BACKGROUND: Stunting affects up to one-third of the children in low-to-middle income countries (LMICs) and has been correlated with decline in cognitive capacity and vaccine immunogenicity. Early identification of infants at risk is critical for early intervention and prevention of morbidity. The aim of this study was to investigate patterns of growth in infants up through 48 months of age to assess whether the growth of infants with stunting eventually improved as well as the potential predictors of growth. METHODS: Height-for-age z-scores (HAZ) of children from Matiari (rural site, Pakistan) at birth, 18 months, and 48 months were obtained. Results of serum-based biomarkers collected at 6 and 9 months were recorded. A descriptive analysis of the population was followed by assessment of growth predictors via traditional machine learning random forest models. RESULTS: Of the 107 children who were followed up till 48 months of age, 51% were stunted (HAZ < - 2) at birth which increased to 54% by 48 months of age. Stunting status for the majority of children at 48 months was found to be the same as at 18 months. Most children with large gains started off stunted or severely stunted, while all of those with notably large losses were not stunted at birth. Random forest models identified HAZ at birth as the most important feature in predicting HAZ at 18 months. Of the biomarkers, AGP (Alpha- 1-acid Glycoprotein), CRP (C-Reactive Protein), and IL1 (interleukin-1) were identified as strong subsequent growth predictors across both the classification and regressor models. CONCLUSION: We demonstrated that children most children with stunting at birth remained stunted at 48 months of age. Value was added for predicting growth outcomes with the use of traditional machine learning random forest models. HAZ at birth was found to be a strong predictor of subsequent growth in infants up through 48 months of age. Biomarkers of systemic inflammation, AGP, CRP, IL1, were also strong predictors of growth outcomes. These findings provide support for continued focus on interventions prenatally, at birth, and early infancy in children at risk for stunting who live in resource-constrained regions of the world.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/2277cd07ffc1/12887_2020_2392_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/ab0bcec3159c/12887_2020_2392_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/3824d0bc2f4a/12887_2020_2392_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/f597e98afd81/12887_2020_2392_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/2277cd07ffc1/12887_2020_2392_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/ab0bcec3159c/12887_2020_2392_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/3824d0bc2f4a/12887_2020_2392_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/f597e98afd81/12887_2020_2392_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ba/7597024/2277cd07ffc1/12887_2020_2392_Fig4_HTML.jpg

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本文引用的文献

[1]
Best serum biomarker combination for ovarian cancer classification.

Biomed Eng Online. 2018-11-6

[2]
Biomarkers of Systemic Inflammation and Growth in Early Infancy are Associated with Stunting in Young Tanzanian Children.

Nutrients. 2018-8-24

[3]
Comparing predictive abilities of longitudinal child growth models.

Stat Med. 2018-8-9

[4]
Role of maternal health and infant inflammation in nutritional and neurodevelopmental outcomes of two-year-old Bangladeshi children.

PLoS Negl Trop Dis. 2018-5-29

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Role of C-Reactive Protein at Sites of Inflammation and Infection.

Front Immunol. 2018-4-13

[6]
Serum anti-flagellin and anti-lipopolysaccharide immunoglobulins as predictors of linear growth faltering in Pakistani infants at risk for environmental enteric dysfunction.

PLoS One. 2018-3-6

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Sci Rep. 2018-2-14

[8]
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PLoS One. 2017-12-13

[9]
The Impact of Nutritional Interventions beyond the First 2 Years of Life on Linear Growth: A Systematic Review and Meta-Analysis.

Adv Nutr. 2017-3-15

[10]
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Breastfeed Med. 2016-10

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