University of North Carolina Global Projects Zambia, Lusaka, Zambia.
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Int J Gynaecol Obstet. 2022 Jun;157(3):604-612. doi: 10.1002/ijgo.13860. Epub 2021 Aug 25.
To investigate whether angiogenic biomarker concentrations differ between women who deliver small-for-gestational-age (SGA) infants (<10th centile birth weight for gestational age) compared with controls, because identifying SGA risk early could improve outcomes.
This case-control study compared serum concentrations of angiogenic biomarkers before 24 weeks of pregnancy from 62 women who delivered SGA infants (cases) and 62 control women from an urban Zambian cohort. Odds of delivering an SGA infant were calculated using conditional logistic regression.
Placental growth factor (PlGF), soluble fms-like tyrosine kinase (sFLT-1) and soluble endoglin (sEng) in controls were 37.74 pg/mL (interquartile range [IQR] 23.12-63.15), 2525.18 pg/mL (IQR 1502.21-4265.54) and 2408.18 pg/mL (IQR 1854.87-3017.94), respectively. SGA cases had higher PlGF (40.50 pg/mL, IQR 22.81-67.94) and sFLT-1 (2613.06 pg/mL, IQR 1720.58-3722.50), and lower sEng (2038.06 pg/mL, IQR 1445.25-3372.26). Participants with sEng concentration below and concomitant sFLT-1 concentration above their respective thresholds (n = 40) had five-fold higher odds of SGA (adjusted odds ratio 4.77, 95% confidence interval 1.61-14.1; P = 0.005).
Biomarker concentrations were similar between cases and controls. Participants with concomitant low sEng and high sFLT-1 had the highest odds of SGA, suggesting that a combination of biomarkers may better for predicting SGA than single biomarkers.
探讨与对照组相比,小于胎龄儿(SGA)(出生体重低于胎龄第 10 百分位)孕妇的血管生成生物标志物浓度是否存在差异,因为早期识别 SGA 风险可能会改善结局。
本病例对照研究比较了来自赞比亚城市队列的 62 名 SGA 婴儿(病例)和 62 名对照孕妇在妊娠 24 周前的血清血管生成生物标志物浓度。使用条件逻辑回归计算 SGA 婴儿的发生几率。
对照组胎盘生长因子(PlGF)、可溶性 fms 样酪氨酸激酶 1(sFLT-1)和可溶性内皮糖蛋白(sEng)分别为 37.74pg/mL(23.12-63.15 四分位间距 [IQR])、2525.18pg/mL(1502.21-4265.54IQR)和 2408.18pg/mL(1854.87-3017.94IQR)。SGA 病例组 PlGF(40.50pg/mL,22.81-67.94IQR)和 sFLT-1(2613.06pg/mL,1720.58-3722.50IQR)较高,sEng(2038.06pg/mL,1445.25-3372.26IQR)较低。伴有 sEng 浓度低于和同时 sFLT-1 浓度高于各自阈值的参与者(n=40),SGA 的发生几率增加五倍(调整后的优势比 4.77,95%置信区间 1.61-14.1;P=0.005)。
病例组和对照组的生物标志物浓度相似。伴有同时低 sEng 和高 sFLT-1 的参与者 SGA 的发生几率最高,表明与单一生物标志物相比,联合生物标志物可能更有助于预测 SGA。