Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Acta Paediatr. 2012 Apr;101(4):344-51. doi: 10.1111/j.1651-2227.2011.02540.x. Epub 2011 Dec 20.
Clinical algorithms can be powerful tools for the identification of sick newborns at risk of neonatal mortality. Several studies have evaluated clinical signs for newborns aged 0-60 days to identify severe illness; however, few studies have focused specifically on the most vulnerable time period for neonatal death, the first week of life. Therefore, we reviewed the studies that evaluated clinical signs in newborns 0-60 days, focusing on infants 0 to <7 days. Based on a comparison of relevant studies, we then identified the common, important clinical signs shown to be useful for the identification of at-risk newborns by health workers in community-based and low-resource settings.
We concluded that further work is urgently needed to develop a clinical algorithm for widespread validation in various community-based settings, which focuses specifically on newborns <7 days at risk of early neonatal mortality.
临床算法可以成为识别有新生儿死亡风险的患病新生儿的有力工具。有几项研究评估了 0-60 天新生儿的临床体征，以识别重症疾病；然而，很少有研究专门针对新生儿死亡风险最高的时间段，即生命的第一周。因此，我们回顾了评估 0-60 天新生儿临床体征的研究，重点关注 0-<7 天的婴儿。基于对相关研究的比较，我们确定了常见的、重要的临床体征，这些体征被证明对社区和资源匮乏环境中的卫生工作者识别高危新生儿有用。
我们得出结论，迫切需要进一步开发一种临床算法，以便在各种社区环境中进行广泛验证，该算法特别关注有早期新生儿死亡风险的<7 天新生儿。
