Sreeramareddy Chandrashekhar T, Chuni Neena, Patil Rajkumar, Singh Dela, Shakya Brishna
Department of Community Medicine, Manipal Teaching Hospital, Manipal College of Medical Sciences, Pokhara, Nepal.
BMC Pediatr. 2008 Apr 25;8:16. doi: 10.1186/1471-2431-8-16.
In Nepal, more than 90% of the deliveries take place at home where birth weight is often not recorded. In developing countries, low birth weight (LBW, <2500 grams) accounts for 60-80% of neonatal deaths. Early identification and referral of LBW babies for extra essential newborn care is vital in preventing neonatal deaths. Studies carried out in different populations have suggested that the use of newborn anthropometric surrogates of birth weight may be a simple and reliable method to identify LBW babies in a home setting. However, a reliable anthropometric surrogate to identify LBW babies and its cut-off point is not known for Nepalese newborns.
A cross-sectional study was carried out in Western Regional Hospital, Pokhara between April and June, 2006. All consecutive full-term, singleton, live born babies were included. To ensure reliability and avoid inter-observer bias one of the investigators weighed all the newborns and carried out anthropometric measurements within 24 hours after birth. Circumferences of head, chest, mid-upper arm, thigh and calf were measured according to standard techniques. Non-parametric receiver operating characteristic (ROC) curve analyses were carried out using bootstrap to calculate 95% confidence intervals of areas under the curve (AUC). The cut-points with lowest total misclassification rate were chosen to identify LBW babies.
Out of 400 newborns studied, 204 (51%) were males and 196 (49%) were females. The mean birth weight was 3029 +/- 438 grams and 34 (8.5%) newborns were LBW. By ROC-AUC analyses, head circumference (AUC = 0.89, 95% CI 0.85 to 0.93) and chest circumference (AUC = 0.86, 95% CI 0.80 to 0.91) were identified as the optimal surrogate indicators of LBW babies. The optimal cut-points for head circumference and chest circumference to identify LBW newborns were > or = 33.5 cm and > or = 30.8 cm respectively.
Head and chest circumferences were the best anthropometric surrogates of LBW among Nepalese newborns. Further studies are needed in the field to cross-validate our results.
在尼泊尔,超过90%的分娩在家中进行,出生体重常常未被记录。在发展中国家,低出生体重(LBW,<2500克)占新生儿死亡的60 - 80%。早期识别低出生体重婴儿并将其转诊以获得额外的基本新生儿护理对于预防新生儿死亡至关重要。在不同人群中开展的研究表明,使用出生体重的新生儿人体测量替代指标可能是在家庭环境中识别低出生体重婴儿的一种简单且可靠的方法。然而,对于尼泊尔新生儿,尚不清楚用于识别低出生体重婴儿的可靠人体测量替代指标及其切点。
2006年4月至6月在博卡拉的西部区域医院进行了一项横断面研究。纳入所有连续的足月、单胎、活产婴儿。为确保可靠性并避免观察者间偏差,由一名研究人员在出生后24小时内对所有新生儿进行称重并进行人体测量。根据标准技术测量头围、胸围、上臂中部、大腿和小腿的周长。使用自抽样法进行非参数接受者操作特征(ROC)曲线分析,以计算曲线下面积(AUC)的95%置信区间。选择总误分类率最低的切点来识别低出生体重婴儿。
在研究的400名新生儿中,204名(51%)为男性,196名(49%)为女性。平均出生体重为3029 +/- 438克,34名(8.5%)新生儿为低出生体重。通过ROC - AUC分析,头围(AUC = 0.89,95%CI 0.85至0.93)和胸围(AUC = 0.86,95%CI 0.80至0.91)被确定为低出生体重婴儿的最佳替代指标。识别低出生体重新生儿的头围和胸围的最佳切点分别为≥33.5厘米和≥30.8厘米。
头围和胸围是尼泊尔新生儿中低出生体重的最佳人体测量替代指标。该领域需要进一步研究以交叉验证我们的结果。