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首页> 外文期刊>BMC Pediatrics >Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
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Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants

机译：比较极低出生体重与极低妊娠队列方法进行高风险早产儿结局分析

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Background Compared to very low gestational age ( Method Data from all VLGA or VLBW infants admitted in the 3 Networks between 2008 and 2011 were used. Two-thirds of each network cohort was randomly selected to develop prediction models for mortality and composite adverse outcome (CAO: mortality or cerebral injuries, chronic lung disease, severe retinopathy or necrotizing enterocolitis) and the remaining for internal validation. Areas under the ROC curves (AUC) of the models were compared. Results VLBW cohort (24,335 infants) had twice more SGA infants (20.4% vs. 9.3%) than the VLGA cohort (29,180 infants) and had a higher rate of CAO (36.5% vs. 32.6%). The two models had equal prediction power for mortality and CAO (AUC 0.83), and similarly for all other cross-cohort validations (AUC 0.81–0.85). Neither model performed well for the extremes of birth weight for gestation ( Conclusion There was no difference in prediction power for adverse outcome between cohorting VLGA or VLBW despite substantial bias in SGA population. Either cohorting practises are suitable for international benchmarking.
机译：背景与极低的胎龄相比（使用了2008年至2011年在这3个网络中入院的所有VLGA或VLBW婴儿的方法数据。每个网络队列中的三分之二被随机选择以建立死亡率和综合不良后果的预测模型（CAO ：死亡率或脑损伤，慢性肺病，严重的视网膜病变或坏死性小肠结肠炎）和其余待内部验证。比较模型的ROC曲线下面积（AUC）。结果VLBW队列（24,335婴儿）的SGA婴儿多两倍（与VLGA队列（29,180例婴儿）相比，有20.4％比9.3％），并且CAO发生率更高（36.5％对32.6％），这两个模型对死亡率和CAO的预测能力相同（AUC为0.83），对于所有其他跨队列验证（AUC 0.81-0.85）。这两种模型在妊娠出生体重极端情况下均未取得良好的效果（结论尽管VLGA或VLBW队列之间的不良结局预测能力无差异SGA人口的实质性偏见。两种群组做法都适合进行国际基准测试。

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