Kristensen Petter, Keyes Katherine M, Susser Ezra, Corbett Karina, Mehlum Ingrid Sivesind, Irgens Lorentz M
Department of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.
Department of Community Medicine, Institute of Health and Society, University of Oslo, Oslo, Norway.
PLoS One. 2017 Feb 28;12(2):e0172891. doi: 10.1371/journal.pone.0172891. eCollection 2017.
Perinatal mortality according to birth weight has an inverse J-pattern. Our aim was to estimate the influence of familial factors on this pattern, applying a cohort sibling design. We focused on excess mortality among macrosomic infants (>2 SD above the mean) and hypothesized that the birth weight-mortality association could be explained by confounding shared family factors. We also estimated how the participant's deviation from mean sibling birth weight influenced the association.
We included 1 925 929 singletons, born term or post-term to mothers with more than one delivery 1967-2011 registered in the Medical Birth Registry of Norway. We examined z-score birth weight and perinatal mortality in random-effects and sibling fixed-effects logistic regression models including measured confounders (e.g. maternal diabetes) as well as unmeasured shared family confounders (through fixed effects models). Birth weight-specific mortality showed an inverse J-pattern, being lowest (2.0 per 1000) at reference weight (z-score +1 to +2) and increasing for higher weights. Mortality in the highest weight category was 15-fold higher than reference. This pattern changed little in multivariable models. Deviance from mean sibling birth weight modified the mortality pattern across the birth weight spectrum: small and medium-sized infants had increased mortality when being smaller than their siblings, and large-sized infants had an increased risk when outweighing their siblings. Maternal diabetes and birth weight acted in a synergistic fashion with mortality among macrosomic infants in diabetic pregnancies in excess of what would be expected for additive effects.
The inverse J-pattern between birth weight and mortality is not explained by measured confounders or unmeasured shared family factors. Infants are at particularly high mortality risk when their birth weight deviates substantially from their siblings. Sensitivity analysis suggests that characteristics related to maternal diabetes could be important in explaining the increased mortality among macrosomic infants.
围产期死亡率按出生体重呈倒J形模式。我们的目的是采用队列同胞设计来估计家族因素对这种模式的影响。我们关注巨大儿(高于均值2个标准差以上)的额外死亡率,并假设出生体重与死亡率之间的关联可由共同的家族混杂因素来解释。我们还估计了参与者与同胞平均出生体重的偏差如何影响这种关联。
我们纳入了1967年至2011年间在挪威医学出生登记处登记的、母亲有多次分娩的1 925 929名单胎足月儿或过期产儿。我们在随机效应和同胞固定效应逻辑回归模型中检查了z评分出生体重和围产期死亡率,模型包括已测量的混杂因素(如母亲糖尿病)以及未测量的共同家族混杂因素(通过固定效应模型)。特定出生体重的死亡率呈倒J形模式,在参考体重(z评分+1至+2)时最低(每1000例中有2.0例),且随着体重增加而上升。最高体重类别中的死亡率比参考值高15倍。在多变量模型中,这种模式变化不大。与同胞平均出生体重的偏差改变了整个出生体重范围内的死亡率模式:中小型婴儿在比其同胞小时死亡率增加,而大型婴儿在比其同胞大时风险增加。母亲糖尿病和出生体重在糖尿病妊娠的巨大儿死亡率方面以协同方式起作用,其作用超过了相加效应的预期。
出生体重与死亡率之间的倒J形模式不能由已测量的混杂因素或未测量的共同家族因素来解释。当婴儿的出生体重与其同胞有很大偏差时,其死亡风险特别高。敏感性分析表明,与母亲糖尿病相关的特征可能在解释巨大儿死亡率增加方面很重要。