The Global Network Neonatal Cause of Death algorithm for low-resource settings.
The Global Network Neonatal Cause of Death algorithm for low-resource settings.
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DOI：
10.1111/apa.13805
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发表时间：
2017-06
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影响因子：
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通讯作者：
Goldenberg RL
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文献类型：
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作者：
Garces AL;McClure EM;Pérez W;Hambidge KM;Krebs NF;Figueroa L;Bose CL;Carlo WA;Tenge C;Esamai F;Goudar SS;Saleem S;Patel AB;Chiwila M;Chomba E;Tshefu A;Derman RJ;Hibberd PL;Bucher S;Liechty EA;Bauserman M;Moore JL;Koso-Thomas M;Miodovnik M;Goldenberg RL
这项研究使用低资源地区的算法估计了新生儿死亡的原因，世界上98%的新生儿死亡发生在那里。我们在2014-2016年期间招募了印度、巴基斯坦、危地马拉、刚果民主共和国、肯尼亚和赞比亚的妇女，并跟踪她们的分娩和新生儿结果长达28天。使用结构化问卷、临床观察和/或体格检查收集产妇护理和分娩症状。使用全球网络死因算法分配新生儿死亡原因，按国家和死亡日期进行分析。在3 068名新生儿死亡中，三分之一（33.1%）是由于疑似感染，30.8%是早产，21.2%是窒息，9.5%是先天性异常，5.4%没有指定死因。早产和窒息相关死亡在出生后第一天更为常见（分别为46.7%和52.9%），而大多数因感染导致的死亡发生在出生后第一天（86.9%）。原因分布与其他主要研究报告的全球数据相似。全球网络算法为低资源环境中的新生儿死亡提供了可靠的原因，可用于为降低死亡率的公共卫生战略提供信息。
This study estimated the causes of neonatal death using an algorithm for low-resource areas, where 98% of the world’s neonatal deaths occur. We enrolled women in India, Pakistan, Guatemala, the Democratic Republic of Congo, Kenya and Zambia from 2014–2016 and tracked their delivery and newborn outcomes for up to 28 days. Antenatal care and delivery symptoms were collected using a structured questionnaire, clinical observation and, or, a physical examination. The Global Network Cause of Death algorithm was used to assign the cause of neonatal death, analysed by country and day of death. One third (33.1%) of the 3,068 neonatal deaths were due to suspected infection, 30.8% to prematurity, 21.2% to asphyxia, 9.5% to congenital anomalies and 5.4% did not have a cause of death assigned. Prematurity and asphyxia-related deaths were more common on the first day of life (46.7% and 52.9%, respectively), while most deaths due to infection occurred after the first day of life (86.9%). The distribution of causes was similar to global data reported by other major studies. The Global Network algorithm provided a reliable cause of neonatal death in low-resource settings and can be used to inform public health strategies to reduce mortality.