埃塞俄比亚北部阿伊德综合专科医院收治新生儿围产期窒息的患病率及相关因素：一项横断面研究
Prevalence and Associated Factors of Perinatal Asphyxia in Neonates Admitted to Ayder Comprehensive Specialized Hospital, Northern Ethiopia: A Cross-Sectional Study.
作者信息
Gebregziabher Gebrehiwot Teklehaimanot, Hadgu Fikaden Berhe, Abebe Haftom Temesgen
机构信息
Department of Pediatrics and Child Health, College of Health Sciences, Aksum University, Tigray, Ethiopia.
Department of Pediatrics and Child Health, College of Health Sciences, Mekelle University, Tigray, Ethiopia.
出版信息
Int J Pediatr. 2020 Feb 14;2020:4367248. doi: 10.1155/2020/4367248. eCollection 2020.
BACKGROUND
Perinatal asphyxia is defined as the inability of the newborn to initiate and sustain enough respiration after delivery and is characterized by a marked impairment of gas exchange. It is one of the most common causes of neonatal mortality and morbidity. There are very few studies on perinatal asphyxia in Tigray, and so this study is aimed at assessing the prevalence and associated factors of perinatal asphyxia in Ayder Comprehensive Specialized Hospital NICU, Tigray, Ethiopia.
METHODS
An institution-based cross-sectional study design was conducted among neonates admitted to Ayder Comprehensive Specialized Hospital from January 1, 2016, to December 30, 2017. Medical records of 267 neonates admitted to the neonatal intensive care unit were selected by a systematic sampling method, and relevant information was collected using a checklist. The data was analyzed using SPSS version 20. Descriptive statistics were computed to determine the prevalence of birth asphyxia and sociodemographic and obstetrics data. Binary logistic regression was used to test associations between the associated factors and perinatal asphyxia. First bivariate analysis was performed to assess the association without controlling the effect of other independent variables. Variables with value < 0.25 were fitted to the multivariable binary logistic regression model. Finally, variables with value < 0.25 were fitted to the multivariable binary logistic regression model. Finally, variables with.
RESULTS
Of the 267 neonates, 48 neonates had perinatal asphyxia, giving a prevalence of 18%. Prolonged labor (AOR = 5.19, 95% CI: 1.73-15.63, value < 0.25 were fitted to the multivariable binary logistic regression model. Finally, variables with value < 0.25 were fitted to the multivariable binary logistic regression model. Finally, variables with value < 0.25 were fitted to the multivariable binary logistic regression model. Finally, variables with . Prevalence and mortality of asphyxia were high. Prolonged labor, presence of meconium, and preeclampsia were determinant factors for birth asphyxia. Early detection and intervention of high-risk mothers should be carried out by health care providers, and mothers should be monitored with partograph during labor.
背景
围产期窒息被定义为新生儿在出生后无法启动并维持足够的呼吸，其特征是气体交换明显受损。它是新生儿死亡和发病的最常见原因之一。在提格雷，关于围产期窒息的研究非常少，因此本研究旨在评估埃塞俄比亚提格雷阿伊德综合专科医院新生儿重症监护病房围产期窒息的患病率及相关因素。
方法
采用基于机构的横断面研究设计，对2016年1月1日至2017年12月30日入住阿伊德综合专科医院的新生儿进行研究。通过系统抽样方法选取267名入住新生儿重症监护病房的新生儿的病历，并使用清单收集相关信息。数据使用SPSS 20版进行分析。计算描述性统计量以确定出生窒息的患病率以及社会人口统计学和产科数据。采用二元逻辑回归检验相关因素与围产期窒息之间的关联。首先进行单变量分析以评估在不控制其他自变量影响的情况下的关联。将P值<0.25的变量纳入多变量二元逻辑回归模型。最后，将P值<0.25的变量纳入多变量二元逻辑回归模型。最后，将P值<0.25的变量纳入多变量二元逻辑回归模型。最后，将P值<0.25的变量纳入多变量二元逻辑回归模型。结果：在267名新生儿中，48名新生儿患有围产期窒息，患病率为18%。产程延长（比值比=5.19，95%置信区间：1.73 - 15.63，P值<0.25）的变量被纳入多变量二元逻辑回归模型。最后，将P值<0.25的变量纳入多变量二元逻辑回归模型。最后，将P值<0.25的变量纳入多变量二元逻辑回归模型。最后，将P值<0.25的变量纳入多变量二元逻辑回归模型。最后，将P值<0.25的变量纳入多变量二元逻辑回归模型。窒息的患病率和死亡率很高。产程延长、胎粪存在和先兆子痫是出生窒息的决定性因素。医护人员应尽早对高危母亲进行检测和干预，并且在分娩期间应用产程图对母亲进行监测。
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