预测肥胖妇女不良妊娠结局的生物标志物:系统回顾和荟萃分析

Tabitha Wishlade MSc , Sara Wetzler MPhil , Catherine E. Aiken PhD
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引用次数: 0

摘要

目的系统回顾BMI≥30 kg/m²孕妇产前生物标志物与不良妊娠结局的相关文献。数据来源:系统文献搜索使用预先定义的搜索词在PubMed, Ovid Embase, Ovid MEDLINE, Scopus和Cochrane中央对照试验注册。数据库从成立到2024年8月进行了搜索。研究资格标准纳入了比较孕前或妊娠早期(妊娠20周)BMI≥30 kg/m²(根据产前测量的任何生物标志物的存在或数量)的妇女妊娠结局的干预性和观察性研究。研究评价和综合方法两名审稿人根据预先确定的纳入和排除标准独立评估研究。使用纽卡斯尔-渥太华偏倚风险工具对纳入的研究进行偏倚风险评估。构建了符合条件的研究的叙事综合,并在可能的情况下使用随机效应模型对数据进行了荟萃分析。证据的确定性采用GRADE评定。结果本综述共纳入49项研究,代表了16个国家7479例妊娠的500种不同的生物标志物。脂联素是唯一具有足够数据的生物标志物,可以对复合结果进行meta分析。低脂联素与复合结局的风险增加相关(SMD = - 0.52, 95% CI = - 0.63, - 0.41; P< = 0.001, i2%)。低脂联素还与妊娠期糖尿病(SMD = - 0.57, 95% CI = - 0.70, - 0.43; P< = 0.001, i2%)和先兆子痫(OR = 0.65, 95% CI = 0.44, 0.99; P= 0.047, i61.5%)的风险增加相关。胰岛素浓度升高与妊娠期糖尿病相关(SMD 0.35, 95% CI 0.22, - 0.47; P< 0.001, i20 %)。所有关联的证据的确定性都很低或非常低。结论脂联素降低和胰岛素升高与BMI≥30 kg/m²女性不良妊娠结局风险增加相关。然而,可纳入的研究数量少,证据的确定性低,这意味着在BMI≥30 kg/m²的孕妇中进行基于生物标志物的风险分层目前尚不可行。需要进一步的研究,以找到在产妇护理期间可靠地针对不良后果风险最高的肥胖妇女群体进行调查的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biomarkers predicting adverse pregnancy outcomes in women living with obesity: a systematic review and meta-analysis

Objective

To systematically review the literature on associations between antenatal biomarkers and adverse pregnancy outcomes in women with BMI ≥30 kg/m². Data sources: Systematic literature searches used predefined search terms in PubMed, Ovid Embase, Ovid MEDLINE, Scopus, and the Cochrane Central Register of Controlled Trials. Databases were searched from inception to August 2024.

Study eligibility criteria

Interventional and observational studies comparing pregnancy outcomes amongst women with a pre- or early-pregnancy (<20 weeks’ gestation) BMI ≥30 kg/m² according to presence or amount of any antenatally measured biomarker were included.

Study appraisal and synthesis methods

Two reviewers independently assessed studies for inclusion against predefined inclusion and exclusion criteria. Risk of bias assessment was performed on included studies using the Newcastle-Ottawa Risk of Bias Tool. A narrative synthesis of eligible studies was constructed and data were meta-analysed, where possible, using random effects models. Certainty of evidence was assessed by GRADE rating.

Results

Total 49 studies were included in the review, representing >500 different biomarkers in 7479 pregnancies across 16 countries. Adiponectin was the only biomarker with sufficient data to meta-analyse with respect to the composite outcome. Lower adiponectin was associated with increased risk of the composite outcome (SMD −0.52, 95% CI −0.63, −0.41; P<.001, I2 0%). Lower adiponectin was also associated with increased risk of gestational diabetes (SMD −0.57, 95% CI −0.70, −0.43; P<.001, I2 0%) and pre-eclampsia (OR 0.65, 95% CI 0.44, 0.99; P=.047, I2 61.5%). Increased insulin concentrations were associated with gestational diabetes (SMD 0.35, 95% CI 0.22, −0.47; P<.001, I2 0%). Certainty of evidence regarding all associations was low or very low.

Conclusions

Decreased adiponectin and increased insulin are associated with increased risk of adverse pregnancy outcomes in women with BMI ≥30 kg/m². However, the low number of studies available for inclusion and low certainty of evidence mean that biomarker-based risk-stratification within pregnant women with BMI ≥30 kg/m² is not currently feasible. Further research is required to find ways of reliably targeting investigations during maternity care towards the subset of women living with obesity who are at highest risk of adverse outcomes.
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来源期刊
AJOG global reports
AJOG global reports Endocrinology, Diabetes and Metabolism, Obstetrics, Gynecology and Women's Health, Perinatology, Pediatrics and Child Health, Urology
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