The interdependence of mid-trimester blood pressure and glucose levels in shaping fetal growth and neonatal outcomes: implications for risk-benefit assessment and co-management.

IF 8.3 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMC Medicine Pub Date : 2025-03-14 DOI:10.1186/s12916-025-03990-7
Lijuan Lv, Jingbo Yang, Linjie Li, Chuanyi Huang, Huihua Shi, Yiwen Fang, Lushu Zuo, Ting Liu, Hongli Duan, Jiying Wen, Qing Yang, Amanda Henry, Cha Han, Aihua Yin, Xin Zhou
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Abstract

Background: Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored.

Methods: Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups.

Results: Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels.

Conclusions: Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.

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妊娠中期血压和血糖水平在塑造胎儿生长和新生儿结局中的相互依赖性:对风险-收益评估和共同管理的影响。
背景:产妇高血压和高血糖密切相关,但对胎儿生长有不同的影响,需要独立处理。血压(BP)和血糖水平的相互依赖如何定量影响胎儿异常生长和新生儿并发症的风险模式仍未研究。方法:在56,881例单胎妊娠的队列中,在妊娠20至28周期间测量孕妇血压和空腹血糖(FPG)水平。采用线性和分位数回归分析评价BP与FPG之间的关系。我们采用限制性三次样条(RCS)曲线检测了BP和FPG与小胎龄(SGA)和大胎龄(LGA)之间的剂量-反应关系。此外,还进行了多变量分数多项式相互作用(MFPI)分析,以评估在整个FPG水平范围内血压水平高低的影响。通过将BP和FPG分类成有序的组,创建了热图来可视化BP和FPG的贡献。结果:分位数回归显示,平均动脉压(MAP)与FPG之间存在一致的正相关,在FPG的0.5分位数以上,MAP系数的增加幅度更大。MAP与SGA风险呈非线性正相关,FPG与SGA风险呈非线性负相关。热图显示高血压(MAP≥85 mmHg)/低血糖时SGA风险最高(结论:基于中国的大型妊娠队列,本研究揭示了孕妇血压和血糖水平之间的相互关联以及它们对SGA风险的综合影响。它提供了定量证据,证明这种相互依赖如何影响SGA、新生儿并发症和LGA的风险模式转变。这些发现强调了在怀孕期间联合控制血压和血糖水平的综合方法的必要性。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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