Evidence map›Paper›PMID 35021206›Full record

ArticleThe American journal of clinical nutrition2022

Birth anthropometry predicts neonatal and infant mortality in rural Bangladesh: a focus on circumferential measurements.

Yunhee Kang, Lee Shu Fune Wu, Saijuddin Shaikh, Hasmot Ali, Abu Ahmed Shamim, Parul Christian, Alain Labrique, Keith P West

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Article in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yunhee KangCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Lee Shu Fune WuCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Saijuddin ShaikhThe JiVitA Project, Gaibandha, Bangladesh.ORCID 0000-0001-5095-1478
Hasmot AliThe JiVitA Project, Gaibandha, Bangladesh.ORCID 0000-0003-0044-1992
Abu Ahmed ShamimThe JiVitA Project, Gaibandha, Bangladesh.
Parul ChristianCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Alain LabriqueCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Keith P WestCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow birth weight predicts risk of infant death. However, several birth measurements may be equally predictive, for which cutoffs and associated risks are less explored.

objectivesWe assessed and optimized population cutoffs of birth length, weight, and midupper arm circumference (MUAC), head circumference (HC), and chest circumference (CC) for predicting neonatal (≤28 d) and infant (≤365 d) mortality in northwest Bangladesh.

methodsAmong 28,026 singletons born in an antenatal micronutrient supplement trial, 21,174 received anthropometry ≤72 h after birth, among whom 583 died in infancy. Optimization for predicting mortality for each measurement was guided by the Youden Index (sensitivity + specificity - 1). Relative risk ratios (RRRs) and positive predictive values (PPVs) were calculated across cutoff ranges for individual and any pair of measurements.

resultsOptimal cutoffs, harmonized to 100-g or 0.5-cm readings, for neonatal and infant mortality were 44.5 cm for length, 2200 g for weight, 9.0 cm for MUAC, 31.0 cm for HC, and 28.5 cm for CC, below which all predicted mortality. However, a CC <28.5 cm, alone and combined with HC <31.0 cm, yielded the highest RRR [9.68 (95% CI: 7.84, 11.94) and 15.74 (95% CI: 12.54, 19.75), respectively] and PPV (11.3% and 10.7%) for neonatal mortality and highest RRR [6.02 (95% CI: 5.15, 7.02) and 9.19 (95% CI: 7.72, 10.95)] and PPV (16.3% and 14.5%) for infant mortality. Pairs of measurements revealed a higher RRR for neonatal and infant mortality than individual measurements of any one pair, although the ranges of PPV remained comparable.

conclusionsIn Bangladesh, multiple birth measurements alone or in combination, particularly chest circumference, predict neonatal and infant mortality.

Indexed as

Infant, Low Birth WeightInfant MortalityAnthropometryBangladeshBirth WeightFemaleHumansInfantInfant, NewbornPregnancyRural Populationbirth anthropometryinfant mortalityneonatal mortalitynewborn circumferential measurementspredictors

Identifiers

PMID35021206
PMCPMC9071409

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.