关键词: AUC, area under curve Anthropometric measurement BW, birth weight CC, chest circumference CI, confidence interval DHS, Demographic and Health Survey DOR, diagnostic odds ratio EMDHS, Ethiopia Mini Demographic and Health Survey FL, foot length GA, gestational age HC, head circumference LBW LBW, low birth weight MUAC, mid-upper arm circumference NICU, neonatal intensive care unit NPV, negative predictive value Non-parametric PPV, positive predictive value ROC analysis ROC, receiver operating characteristics WHO, World Health Organization

Mesh : Infant, Newborn Infant Humans Female ROC Curve Cross-Sectional Studies Infant, Low Birth Weight Anthropometry Predictive Value of Tests

来  源:   DOI:10.1017/jns.2023.20   PDF(Pubmed)

Abstract:
Despite the fact that health facilities in Ethiopia are being built closer to communities in all regions, the proportion of home deliveries remains high, and there are no studies being conducted to identify low birth weight (LBW) and premature newborn babies using simple, best, alternative, and appropriate anthropometric measurement in the study area. The objective of the present study was to find the simple, best, and alternative anthropometric measurement and identified its cut-off points for detecting LBW and premature newborn babies. A health facility-based cross-sectional study was conducted in the Dire Dawa city administration, Eastern Ethiopia. The study included 385 women who gave birth in health facility. To evaluate the overall accuracy of the anthropometric measurements, a non-parametric receiver operating characteristic curve was used. Chest circumference (AUC = 0⋅95) with 29⋅4 cm and mean upper arm circumference (AUC = 0⋅93) with 7⋅9 cm proved to be the best anthropometric diagnostic measure for LBW and gestational age, respectively. Also, both anthropometric measuring tools are achieved the highest correlation (r = 0⋅62) for LBW and gestational age. Foot length had a higher sensitivity (94⋅8 %) in detecting LBW than other measurements, with a higher negative predictive value (NPV) (98⋅4 %) and a higher positive predictive value (PPV) (54⋅8 %). Chest circumference and mid-upper arm circumference were found to be better surrogate measurements for identifying LBW and premature babies in need of special care. More research is needed to identify better diagnostic interventions in situations like the study area, which has limited resources and a high proportion of home deliveries.
摘要:
尽管埃塞俄比亚的保健设施正在靠近所有地区的社区建设,送货上门的比例仍然很高,并且没有进行研究来识别低出生体重(LBW)和早产新生儿,最好,另类,并在研究区域进行适当的人体测量。本研究的目的是找到简单的,最好,和替代人体测量,并确定了其检测LBW和早产新生儿的临界点。在德雷达瓦市政府进行了一项以卫生机构为基础的横断面研究,埃塞俄比亚东部。该研究包括385名在医疗机构分娩的妇女。为了评估人体测量的总体准确性,使用非参数接收器工作特性曲线。胸围(AUC=0·95)为29·4厘米,平均上臂围(AUC=0·93)为7·9厘米,被证明是LBW和胎龄的最佳人体测量学诊断指标,分别。此外,两种人体测量工具的LBW和胎龄的相关性最高(r=0·62)。与其他测量相比,脚长在检测LBW方面具有更高的灵敏度(94·8%),具有较高的阴性预测值(NPV)(98·4%)和较高的阳性预测值(PPV)(54·8%)。发现胸围和中上臂围是识别LBW和需要特殊护理的早产儿的更好的替代测量。需要更多的研究来确定更好的诊断干预措施,例如研究区域,资源有限,送货上门比例很高。
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