Otupiri Easmon, Wobil Priscilla, Nguah Samuel Blay, Hindin Michelle J
Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Komfo Anokye Teaching Hospital, Kumasi, Ghana.
PLoS One. 2014 Sep 16;9(9):e106712. doi: 10.1371/journal.pone.0106712. eCollection 2014.
In Ghana, 32% of deliveries take place outside a health facility, and birth weight is not measured. Low birth weight (LBW) newborns who are at increased risk of death and disability, are not identified; 13%-14% of newborns in Ghana are LBW. We aimed at determining whether alternative anthropometrics could be used to identify LBW newborns when weighing scales are not available to measure birth weight.
We studied 973 mother and newborn pairs at the Komfo Anokye Teaching and the Suntreso Government hospitals between November 2011 and October 2012. We used standard techniques to record anthropometric measurements of newborns within 24 hours of birth; low birth weight was defined as birth weight <2.5 kg. Pearson's correlation coefficient and the area under the curve were used to determine the best predictors of low birth weight. The sensitivity, specificity and predictive values were reported with 95% confidence intervals at generated cut-off values.
One-fifth (21.7%) of newborns weighed less than 2.5 kg. Among LBW newborns, the following measurements had the highest correlations with birth weight: chest circumference (r = 0.69), mid-upper arm circumference (r = 0.68) and calf circumference (r = 0.66); the areas under the curves of these three measurements demonstrated the highest accuracy in determining LBW newborns. Chest, mid-upper arm and calf circumferences at cut-off values of ≤ 29.8 cm, ≤ 9.4 cm and ≤ 9.5 cm respectively, had the best combination of maximum sensitivity, specificity and predictive values for identifying newborns with LBW.
Anthropometric measurements, such as the chest circumference, mid-upper arm circumference and calf circumference, offer an opportunity for the identification of and subsequent support for LBW newborns in settings in Ghana, where birth weights are not measured by standardized weighing scales.
在加纳,32%的分娩在医疗机构外进行,且未测量出生体重。低出生体重(LBW)新生儿死亡和残疾风险增加,但未被识别;加纳13%-14%的新生儿为低出生体重儿。我们旨在确定在没有体重秤测量出生体重时,是否可以使用替代人体测量学方法来识别低出生体重新生儿。
2011年11月至2012年10月期间,我们在Komfo Anokye教学医院和Suntreso政府医院对973对母婴进行了研究。我们采用标准技术在新生儿出生后24小时内记录其人体测量数据;低出生体重定义为出生体重<2.5千克。使用Pearson相关系数和曲线下面积来确定低出生体重的最佳预测指标。报告了在生成的临界值下的敏感度、特异度和预测值及其95%置信区间。
五分之一(21.7%)的新生儿体重低于2.5千克。在低出生体重新生儿中,以下测量值与出生体重的相关性最高:胸围(r = 0.69)、上臂中段周长(r = 0.68)和小腿周长(r = 0.66);这三项测量的曲线下面积在确定低出生体重新生儿方面显示出最高准确性。胸围、上臂中段和小腿周长的临界值分别≤29.8厘米、≤9.4厘米和≤9.5厘米时,在识别低出生体重新生儿方面具有最大敏感度、特异度和预测值的最佳组合。
在加纳一些未使用标准化体重秤测量出生体重情况中,胸围、上臂中段周长和小腿周长等人体测量方法为识别低出生体重新生儿及随后为其提供支持提供了机会。