Infant mortality in a very low birth weight cohort from a public hospital in Rio de Janeiro, RJ, Brazil
Infant mortality in a very low birth weight cohort from a public hospital in Rio de Janeiro, RJ, Brazil
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巴西里约热内卢一家公立医院极低出生体重队列的婴儿死亡率
DOI：
10.1590/s1519-38292013000300005
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发表时间：
2013
影响因子：
3.1
通讯作者：
C. Coeli
中科院分区：
文献类型：
--
作者：
R. A. Cardoso;P. V. Flores;C. Vieira;K. Bloch;R. Pinheiro;S. Fonseca;C. Coeli
目的：评估巴西里约热内卢一家公立医院2002-2006年极低出生体重儿的婴儿死亡率。方法：采用概率关联方法进行回顾性队列研究，以确定婴儿死亡率。根据出生体重、间隔时间和死亡时间计算死亡比例。采用Kaplan-Meier方法估计总体累积生存概率。通过对产前护理、出生体重和胎龄进行调整后的Cox比例风险模型，评估了母亲受教育程度与极低出生体重儿存活率之间的关系。结果：这项研究包括782名极低出生体重儿。其中，28.6%的儿童在一岁前死亡。新生儿死亡率19.5%，早产儿死亡率14.9%。最低体重组的死亡率最高(71.6%)。即使在对中间因素进行调整后，母亲受教育年限不足四年的新生儿死亡风险也是母亲受教育年限在八年或以上的新生儿的2.5倍。结论：结果显示，极低出生体重儿的死亡率较高。在低收入人群样本中，低教育程度是婴儿死亡的独立预测因素。
OBJECTIVES: to evaluate infant mortality in very low birth weight newborns from a public hospital in Rio de Janeiro, Brazil (2002-2006). METHODS: a retrospective cohort study was performed using the probabilistic linkage method to identify infant mortality. Mortality proportions were calculated according to birth weight intervals and period of death. The Kaplan-Meier method was used to estimate overall cumulative survival probability. The association between maternal schooling and survival of very low birth weight infants was evaluated by means of Cox proportional hazard models adjusted for: prenatal care, birth weight, and gestational age. RESULTS: the study included 782 very low birth weight newborns. Of these, (28.6%) died before one year of age. Neonatal mortality was 19.5%, and earlyneonatal mortality was 14.9%. Mortality was highest in the lowest weight group (71.6%). Newborns whose mothers had less than four years of schooling had 2.5 times higher risk of death than those whose mothers had eight years of schooling or more, even after adjusting for intermediate factors. CONCLUSIONS: the results showed higher mortality among very low birth weight infants. Low schooling was an independent predictor of infant death in this low-income population sample.