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预测胎龄小于 33 周的婴儿无病生存:一个用户友好的图形工具。

Prediction of survival without morbidity for infants born at under 33 weeks gestational age: a user-friendly graphical tool.

机构信息

Department of Pediatrics, Mount Sinai Hospital, 775A-600 University Avenue, Toronto, Canada.

出版信息

Arch Dis Child Fetal Neonatal Ed. 2012 Mar;97(2):F110-5. doi: 10.1136/archdischild-2011-300143. Epub 2011 Sep 6.

DOI:10.1136/archdischild-2011-300143
PMID:21900280
Abstract

OBJECTIVE

To develop models and a graphical tool for predicting survival to discharge without major morbidity for infants with a gestational age (GA) at birth of 22-32 weeks using infant information at birth.

DESIGN

Retrospective cohort study.

SETTING

Canadian Neonatal Network data for 2003-2008 were utilised.

PATIENTS

Neonates born between 22 and 32 weeks gestation admitted to neonatal intensive care units in Canada.

MAIN OUTCOME MEASURE

Survival to discharge without major morbidity defined as survival without severe neurological injury (intraventricular haemorrhage grade 3 or 4 or periventricular leukomalacia), severe retinopathy (stage 3 or higher), necrotising enterocolitis (stage 2 or 3) or chronic lung disease.

RESULTS

Of the 17 148 neonates who met the eligibility criteria, 65% survived without major morbidity. Sex and GA at birth were significant predictors. Birth weight (BW) had a significant but non-linear effect on survival without major morbidity. Although maternal information characteristics such as steroid use, improved the prediction of survival without major morbidity, sex, GA at birth and BW for GA predicted survival without major morbidity almost as accurately (area under the curve: 0.84). The graphical tool based on the models showed how the GA and BW for GA interact, to enable prediction of outcomes especially for small and large for GA infants.

CONCLUSION

This graphical tool provides an improved and easily interpretable method to predict survival without major morbidity for very preterm infants at the time of birth. These curves are especially useful for small and large for GA infants.

摘要

目的

利用出生时婴儿的信息,为孕龄 22-32 周的婴儿开发一种预测无主要发病率的出院存活率的模型和图形工具。

设计

回顾性队列研究。

地点

利用加拿大新生儿网络 2003-2008 年的数据。

患者

在加拿大新生儿重症监护病房接受治疗的孕龄 22-32 周出生的新生儿。

主要观察指标

定义为无严重神经损伤(脑室出血 3 或 4 级或脑室周围白质软化)、严重视网膜病变(3 期或更高)、坏死性小肠结肠炎(2 或 3 期)或慢性肺病的无主要发病率的出院存活率。

结果

在符合入选标准的 17148 名新生儿中,65%无主要发病率存活。性别和出生时的孕龄是显著的预测因素。出生体重(BW)对无主要发病率的存活率有显著但非线性的影响。虽然母亲信息特征,如类固醇的使用,提高了无主要发病率存活的预测,但性别、出生时的孕龄和 BW 对 GA 几乎同样准确地预测了无主要发病率的存活(曲线下面积:0.84)。基于模型的图形工具显示了 GA 和 BW 如何相互作用,以预测结果,特别是对于小和大的 GA 婴儿。

结论

该图形工具为出生时极早产儿无主要发病率的存活率提供了一种改进的、易于解释的预测方法。这些曲线对于小和大的 GA 婴儿特别有用。

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