The limits of small-for-gestational-age as a high-risk category

被引:0
作者
Allen J. Wilcox
Marianna Cortese
D. Robert McConnaughey
Dag Moster
Olga Basso
机构
[1] National Institute of Environmental Health Sciences,Department of Nutrition
[2] NIH,Department of Clinical Medicine
[3] Centre for Fertility and Health,Department of Global Public Health and Primary Care
[4] Harvard TH Chan School of Public Health,Department of Pediatrics
[5] University of Bergen,Department of Obstetrics and Gynecology
[6] Westat,Department of Epidemiology, Biostatistics, and Occupational Health
[7] University of Bergen,undefined
[8] Haukeland University Hospital,undefined
[9] McGill University,undefined
[10] McGill University,undefined
来源
European Journal of Epidemiology | 2021年 / 36卷
关键词
SGA; Birthweight; Gestational age; Preterm; Neonatal mortality; Receiver operator curve;
D O I
暂无
中图分类号
学科分类号
摘要
SGA (small for gestational age) is widely used to identify high-risk infants, although with inconsistent definitions. Cut points range from 2.5th to 10th percentile of birthweight-for-gestational age. We used receiver operator characteristic curves (ROC) to identify the cut point with maximum sensitivity and specificity (Youden Index), and the area under the curve (AUC), which assesses overall discriminating power. Analysis was conducted on 3,836,034 US births (2015) and 292,279 Norwegian births (2010–14). Birthweight percentiles were calculated using exact birthweights at each week of gestational age, and then summarized across gestational ages. We also conducted a companion analysis of gestational age itself to consider the predictive power of gestational week of birth. Outcomes were neonatal mortality and cerebral palsy, both strongly associated with birthweight. Birthweight percentiles performed poorly in all analyses. The AUC for birthweight percentiles as a discriminator of neonatal mortality was 60% (where 50% is no better than a coin-toss). At such low discrimination, the Youden Index provides no useful SGA cut point. Results in Norway were virtually identical, with an AUC of 58%. The AUC with cerebral palsy as the outcome was even lower, at 54%. In contrast, gestational age had an AUC of 85% as a predictor of neonatal mortality, with < 37 weeks as the optimum cut point. SGA provides surprisingly poor identification of at-risk infants, while gestational age performs well. Similar results in two countries that differ in mean birthweight, percent preterm, and neonatal mortality suggest robustness across populations.
引用
收藏
页码:985 / 991
页数:6
相关论文
共 45 条
[1]  
Zeve D(2016)Small at birth, but how small? The definition of SGA revisited Horm Res Paediatr 86 357-60
[2]  
Regelmann MO(2010)Mortality risk among preterm babies: immaturity vs. underlying pathology Epidemiology 21 521-7
[3]  
Holzman IR(2014)United States birth weight reference corrected for implausible gestational age estimates Pediatrics 133 844-53
[4]  
Rapaport R(2021)Term birth weight and neurodevelopmental outcomes Epidemiology 32 583-90
[5]  
Basso O(2001)The association of Apgar score with subsequent death and cerebral palsy: a population-based study in term infants J Pediatr 138 798-803l
[6]  
Wilcox AJ(1989)Intrauterine growth retardation: standards for diagnosis Am J Obstet Gynecol 161 271-7
[7]  
Talge NM(2015)Measuring gestational age in vital statistics data: transitioning to the obstetric estimate Natl Vital Stat Rep 64 1-20
[8]  
Mudd LM(2001)On the importance, and unimportance, of birth weight Int J Epidemiol 30 1233-41
[9]  
Sikorskii A(2007)A Consensus Statement of the International Societies of Pediatric Endocrinology and the Growth Hormone Research Society J Clin Endocrinol Metab 92 804-10
[10]  
Basso O(1964)Prematurity: A more precise approach to identification Obstet Gynecol 24 716-21