Developing Nomogram to Estimate Birth Weight from Head Circumference and Mid-Upper Arm Circumference

Das, Shubhadeep; Ghosh, Moumita; Mitra, Souvik; Chatterjee, R.; Bhattacharyya, Souvik; De, Arun Kumar; Chakraborty, Swapna

doi:10.1093/tropej/fmr080

Cited by 4 publications

(5 citation statements)

References 9 publications

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“…For chest circumference, most studies have recommended cut-points ranging from 29.5 cm to 33.5 cm for predicting LBW newborns [ 9 , 19 , 20 , 22 , 29 ], which are similar to the cut-points identified in in our study. For MUAC, several studies selected cut-points ranging between 9.0 cm and 10.0 cm, which were slightly higher than observed in our study [ 8 , 19 – 21 , 30 ]. Determining the optimal cut-point for identifying small newborns may need to be determined in individual populations as the “optimal” measurements may vary for a variety of reasons including technique, ethnic differences, different measurement tools used to determine GA, and differences in the definition of what constitutes the optimal cut-point.…”

Section: Discussioncontrasting

confidence: 52%

“…A meta-analysis of studies that have assessed anthropometric measures as predictors of LBW found chest circumference to be the best predictor, followed by MUAC [ 8 ]. Similarly, some studies have found that chest circumference had the highest correlation (r = 0.60 to 0.85) with LBW [ 19 – 21 ], although others have found the correlation with LBW to be highest with MUAC, with estimates ranging from r = 0.66 to 0.95 [ 20 – 22 ]. Foot length has been shown in a meta-analysis to have the weakest correlation with LBW [ 8 ].…”

Section: Discussionmentioning

confidence: 99%

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Foot Length, Chest Circumference, and Mid Upper Arm Circumference Are Good Predictors of Low Birth Weight and Prematurity in Ethnic Minority Newborns in Vietnam: A Hospital-Based Observational Study

et al. 2015

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BackgroundThe evaluation of tools to accurately identify low birth weight (LBW) and/or premature newborns in resource-limited countries is a research priority. We explored the use of foot length, chest circumference, and mid-upper arm circumference (MUAC) measured within 24 h as diagnostic tools for identifying newborns who are LBW, premature, or both; and compared measurements taken at birth with those taken at five days of age.Materials and MethodsAn observational study was undertaken in Hoa Binh Province General Hospital, Vietnam, in ethnic minority newborns. Birth weight, foot length, chest circumference, and MUAC were measured within 24 h of birth and in a subset of 200, were repeated on day five of life. Gestational age was estimated using the New Ballard Score. Receiver Operating Characteristic curves and optimal cut-points (the point with the highest sensitivity and specificity where the sensitivity was at least 0.8) were calculated, for predicting prematurity, LBW, and both. Measurements within 24 h and at five days of life were compared.Results485 newborns were recruited. Chest circumference and MUAC measured within 24 h of birth were found to be highly predictive of LBW (both yielding area under the curve [AUC] of 0.98, 95% confidence interval [CI] 0.96–0.99), and performed marginally better than foot length (AUC 0.94, 95%CI 0.92–0.96). The optimal cut-points for measurements within 24 h of birth were ≤7.4cm for foot length; ≤30.4cm for chest circumference; and ≤ 9.0cm for MUAC. There was statistical evidence that anthropometric measurements taken within 24 h of birth were higher than measurements on day five (p<0.02 for all anthropometric measurements) but the magnitude of these differences was small (at most 2mm).ConclusionsAll measurements taken within 24 h of birth were good predictors of LBW, prematurity and both. Differences in measurements taken within 24 h and on day five were not clinically relevant. Further research will ensure that the application of these measures is reliable in community settings.

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Section: Discussioncontrasting

confidence: 52%

Section: Discussionmentioning

confidence: 99%

Foot Length, Chest Circumference, and Mid Upper Arm Circumference Are Good Predictors of Low Birth Weight and Prematurity in Ethnic Minority Newborns in Vietnam: A Hospital-Based Observational Study

et al. 2015

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“…In the newborn period, anthropometrics are typically limited to observations of weight, length and head circumference. Yet, a limited body of work suggests other measurements may hold value for estimating GA or low birth weight, identifying nutritional management issues and predicting neurodevelopmental outcomes (Arisoy & Sarman, 1995; Das et al, 2012; Kaur et al, 2015; Marchant et al, 2014; Pfister & Ramel, 2014; Sauerborn et al, 1990; Thawani et al, 2013). Normative data for anthropometric and other measures of body composition will be increasingly important for paediatricians and neonatologists as we expand our knowledge of the association with early weight gain and later development of metabolic syndrome (Ekelund et al, 2007; Koyama et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

An anthropometric survey of US pre-term and full-term neonates

Abdel‐Rahman

Paul

Delmore

et al. 2017

Annals of Human Biology

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Background Anthropometric data prove valuable for screening and monitoring various medical conditions. In young infants, however, only weight, length and head circumference are represented in publicly accessible databases. Aim To characterise length and circumferential measures in pre-term and full-term infants up to 90 days post-natal. Subjects and methods In eight US medical centres, trained raters recorded humeral, ulnar, femoral, tibial and fibular lengths along with mid-upper arm, mid-thigh, chest, abdominal and neck circumference. Data were pooled by post-menstrual age into 1-week intervals and population curves created using the lambda, mu and sigma (LMS) method. Goodness-of-fit was assessed by examining de-trended quantile-quantile plots, Q statistics and fitted centiles overlaid on empirical centiles. Results In total, 2097 infants were enrolled in this study with a mean ± SD gestational age and post-natal age of 37.1 ± 3.3 weeks and 27.3 ± 25.3 days, respectively. A re-scale option was used to describe all curves. The resultant models reliably characterised anthropometric measures from 33–52 weeks PMA, with less certainty at the extremes (27–55 weeks). Conclusion The population curves generated under this investigation expand existing reference data on a comprehensive set of anthropometric traits in infants through the first 90 days post-natal.

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“…In view of these constraints, several workers in various countries of the world have attempted to identify various alternative anthropometric measurements that can be used to identify LBW babies soon after delivery. [10][11][12][13][14][15][16][17][18][19] In Nigeria, Ezeaka et al 20 and Olusanya 21 carried out 2 of such studies in the southwestern part, while Achebe et al 22 and Ndu et al 23 conducted similar studies in the southeast. Related studies from here had looked at the birth weights of preterm infants, 24 incidence of LBW, [25][26][27][28] and birth weights of full-term newborn babies.…”

Section: Introductionmentioning

confidence: 99%

Use of a Simple Anthropometric Measurement to Identify Low-Birth-Weight Infants in Enugu, Nigeria

Chukwudi

Nwokeukwu

Adimorah

2018

Global Pediatric Health

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Background. This prospective study was conducted to identify a suitable alternative to birth weight and establish its cutoff point to facilitate the identification of low-birth-weight (LBW) infants in Enugu, Southeast Nigeria. Methods. The study involved newborn babies within the first 48 hours of life. Five anthropometric measurements (head, chest, mid-arm and calf circumferences, as well as abdominal girth) were taken using a tape measure while supine length was measured with an aluminum infantometer. Birth weight was also recorded. Linear regression analysis was done to identify the measurement with the highest coefficient of determination with birth weight while its cutoff point was defined using a receiver operating characteristic curve. Standard statistical tests were used to determine the statistical significance of the findings. Results. The LBW prevalence for the study population was 21.41%. Chest circumference had the highest R2 value of 0.83 for the general study population and 0.72 for the LBW infants. The identified cutoff point for chest circumference is ⩽30 cm. Conclusion. Chest circumference is the best alternative to birth weight in identifying LBW babies within the first 48 hours of life in this environment.

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Developing Nomogram to Estimate Birth Weight from Head Circumference and Mid-Upper Arm Circumference

Abstract: The birthweight estimation nomogram is an inexpensive and convenient tool for use in the community setting where weighing machines may not be always available and may thus allow prompt and early referral.

Cited by 4 publications

References 9 publications

Foot Length, Chest Circumference, and Mid Upper Arm Circumference Are Good Predictors of Low Birth Weight and Prematurity in Ethnic Minority Newborns in Vietnam: A Hospital-Based Observational Study

Foot Length, Chest Circumference, and Mid Upper Arm Circumference Are Good Predictors of Low Birth Weight and Prematurity in Ethnic Minority Newborns in Vietnam: A Hospital-Based Observational Study

An anthropometric survey of US pre-term and full-term neonates

Use of a Simple Anthropometric Measurement to Identify Low-Birth-Weight Infants in Enugu, Nigeria

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