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Volume 11 Issue 1 (February) - Australasian Society for Ultrasound ...

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Australian charts <strong>for</strong> assessing fetal growth – a review<br />

Fig.2: Hadlock's chart.<br />

Fig.1: Beeby's population based birthweight percentile chart.<br />

newborn infants’ growth characteristics correctly.<br />

One of the first published population-based charts was<br />

produced in Western Australian in 1989 by Kliewer, et al. 14 .<br />

They extracted data from the WA Midwives’ Notification<br />

System, which recorded details of all births of 20 weeks gestation<br />

or more, or birthweight of 400 g or more from 1980<br />

to 1986. Gestational age was calculated from last menstrual<br />

period. The charts were not specifically designed to act<br />

as standards of intrauterine growth, but to compare health<br />

outcomes between indigenous and non-indigenous babies.<br />

They found that the distributions of both birthweight and<br />

gestational age were shifted downward in Indigenous infants<br />

compared with white infants, a trend that un<strong>for</strong>tunately<br />

persists today. These charts were also gender-specific, with<br />

separate charts <strong>for</strong> male and female babies, recognising the<br />

importance of sex on fetal size.<br />

In 1996, Beeby published the first NSW population-based<br />

birthweight percentile charts, which was also the largest<br />

Australian population-based study at the time. This study<br />

included data from 422 139 live born singletons held by the<br />

NSW Midwives Data Collection and from King George V<br />

Hospital 15 . Separate charts <strong>for</strong> male and female infants were<br />

developed. The charts followed the general trend of increasing<br />

birthweights over time and had generally higher percentiles<br />

than previously published charts.<br />

The first Australian birthweight percentiles published<br />

using national data were published in 1999 by Roberts and<br />

Lancaster 16 . They aimed to develop national birthweight<br />

percentiles by gestational age (GA) <strong>for</strong> male and female<br />

singleton infants and then to compare BW distributions by<br />

GA <strong>for</strong> indigenous and non-indigenous infants. Using data<br />

from the National Perinatal Statistics Unit (NPSU), 761 902<br />

births were analysed and birthweight percentiles <strong>for</strong> indigenous<br />

and non-indigenous Australian-born women were<br />

made. They included only singleton live infants delivered<br />

by Australian-born mothers in the non-indigenous charts<br />

in order to reduce environmental factors associated with<br />

migrant populations. In keeping with the WA data, indigenous<br />

infants were more likely to be classified as SGA and<br />

preterm than non-indigenous infants. More specifically,<br />

Fig.3: Customised chart.<br />

birthweights of indigenous infants diverged from that of the<br />

non-indigenous population after 34 weeks. By 40 weeks,<br />

the median birthweight <strong>for</strong> male indigenous babies was 160 g<br />

below that of non-indigenous males and birthweight <strong>for</strong><br />

female indigenous infants was 130 g below non-indigenous<br />

females. More than 17% of indigenous infants born at term<br />

were classified as SGA. Separate charts <strong>for</strong> indigenous<br />

births were published, but the authors cautioned that they<br />

should not be interpreted as separate population norms until<br />

the effect of population and environmental differences could<br />

be ascertained.<br />

While the authors acknowledged that birthweight percentiles<br />

do not necessarily represent fetal growth standards,<br />

the 10th centile on these charts are the current standard used<br />

by the NPSU <strong>for</strong> defining fetal growth restriction in the perinatal<br />

mortality data collection system.<br />

Advantages of birthweight charts<br />

n Standards can be derived from very large numbers and<br />

are there<strong>for</strong>e statistically robust;<br />

n Population-based data provides a more demographically<br />

representative sample to be obtained compared with hospital<br />

or private practice populations;<br />

ASUM <strong>Ultrasound</strong> Bulletin 2008 <strong>February</strong> <strong>11</strong> (1)

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