Hughes Michelle M, Black Robert E, Katz Joanne
Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD, 21205, USA.
Matern Child Health J. 2017 Feb;21(2):283-289. doi: 10.1007/s10995-016-2131-9.
Purpose To research the origins of the 2500 g cutoff for low birth weight and the evolution of indicators to identify newborns at high mortality risk. Description Early research concluded "prematurity", measured mainly through birth weight, was responsible for increased health risks. The World Health Organization's original prematurity definition was birth weight ≤2500 g. 1960s research clarified the difference between gestational age and birth weight leading to questions of the causal role of birth weight for health outcomes. Focus turned to two etiologies of low birth weight, preterm births and intrauterine growth restriction, which were both causally associated with morbidity and mortality but through different pathways; a standard cutoff based on gestational age or customized cutoff was debated. Assessment While low birth weight can be due to preterm or intrauterine growth restriction (or both), the historic 2500 g cutoff remains the standard by which the majority of policy makers define low birth weight and use it to predict perinatal and infant adverse outcomes. Conclusion Current efforts to refocus research on preterm births and poor intrauterine growth are important to understanding the direct causes of mortality rather than low birth weight as a convenient surrogate. Such distinctions also allow researchers and practitioners to test and target interventions outcomes more effectively.
研究低出生体重2500克临界值的起源以及识别高死亡风险新生儿指标的演变。描述:早期研究得出结论,主要通过出生体重衡量的“早产”是健康风险增加的原因。世界卫生组织最初对早产的定义是出生体重≤2500克。20世纪60年代的研究明确了胎龄与出生体重之间的差异,引发了关于出生体重对健康结果因果作用的质疑。重点转向低出生体重的两种病因,即早产和宫内生长受限,它们都与发病率和死亡率存在因果关联,但途径不同;基于胎龄的标准临界值或定制临界值引发了争论。评估:虽然低出生体重可能是由于早产或宫内生长受限(或两者兼有),但历史上的2500克临界值仍然是大多数政策制定者定义低出生体重并用于预测围产期和婴儿不良结局的标准。结论:目前将研究重点重新转向早产和宫内生长不良的努力,对于理解死亡的直接原因而非将低出生体重作为一个方便的替代指标非常重要。这种区分也使研究人员和从业者能够更有效地测试和针对干预结果。