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利用机器学习模型识别母体游离甲状腺素与早产风险之间的非线性关联。

Identifying Non-Linear Association Between Maternal Free Thyroxine and Risk of Preterm Delivery by a Machine Learning Model.

机构信息

The International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.

出版信息

Front Endocrinol (Lausanne). 2022 Feb 24;13:817595. doi: 10.3389/fendo.2022.817595. eCollection 2022.

Abstract

OBJECTIVE

Preterm delivery (PTD) is the primary cause of mortality in infants. Mounting evidence indicates that thyroid dysfunction might be associated with an increased risk of PTD, but the dose-dependent association between the continuous spectrum maternal free thyroxine (FT4) and PTD is still not well-defined. This study aimed to further investigate this relationship using a machine learning-based model.

METHODS

A hospital-based cohort study was conducted from January 2014 to December 2018 in Shanghai, China. Pregnant women who delivered singleton live births and had first-trimester thyroid function data available were included. The generalized additive models with penalized cubic regression spline were applied to explore the non-linear association between maternal FT4 and risk of PTD and also subtypes of PTD. The time-to-event method and multivariable Cox proportional hazard model were further applied to analyze the association of abnormally high and low maternal FT4 concentrations with the timing of PTD.

RESULTS

A total of 65,565 singleton pregnancies with completed medical records and no known thyroid disease before pregnancy were included for final analyses. There was a U-shaped dose-dependent relationship between maternal FT4 in the first trimester and PTD (0.001). Compared with the normal range of maternal FT4, increased risk of PTD was identified in both low maternal FT4 (<11.7 pmol/L; adjusted hazard ratio [HR] 1.34, 95% CI [1.13-1.59]) and high maternal FT4 (>19.7 pmol/L; HR 1.41, 95% CI [1.13-1.76]). The association between isolated hypothyroxinemia and PTD was mainly associated with spontaneous PTD (HR 1.33, 95% CI [1.11-1.59]) while overt hyperthyroidism may be attributable to iatrogenic PTD (HR 1.51, 95% CI [1.18-1.92]) when compared with euthyroid women. Additionally, mediation analysis identified that an estimated 11.80% of the association between overt hyperthyroidism and iatrogenic PTD risk was mediated the occurrence of hypertensive disorders in pregnancy (0.001).

CONCLUSIONS

We revealed a U-shaped association between maternal FT4 and PTD for the first time, exceeding the clinical definition of maternal thyroid function test abnormalities. Our findings provide insights towards the need to establish optimal range of maternal FT4 concentrations for preventing adverse outcomes in pregnancy.

摘要

目的

早产(PTD)是婴儿死亡的主要原因。越来越多的证据表明,甲状腺功能障碍可能与 PTD 风险增加有关,但母体游离甲状腺素(FT4)连续谱与 PTD 之间的剂量依赖性关联仍未得到明确界定。本研究旨在使用基于机器学习的模型进一步探讨这种关系。

方法

本研究是一项 2014 年 1 月至 2018 年 12 月在中国上海进行的基于医院的队列研究。纳入了分娩单胎活产且具有孕早期甲状腺功能数据的孕妇。应用广义加性模型与惩罚三次样条回归来探讨母体 FT4 与 PTD 风险以及 PTD 亚型之间的非线性关系。还应用生存分析和多变量 Cox 比例风险模型来分析母体 FT4 浓度异常升高和降低与 PTD 时间的关系。

结果

最终纳入了 65565 例完成病历记录且妊娠前无已知甲状腺疾病的单胎妊娠进行最终分析。母体 FT4 在孕早期与 PTD 之间存在 U 形剂量依赖性关系(<0.001)。与母体 FT4 的正常范围相比,母体 FT4 水平降低(<11.7 pmol/L;调整后的危险比[HR]1.34,95%置信区间[1.13-1.59])和升高(>19.7 pmol/L;HR1.41,95% CI [1.13-1.76])均与 PTD 风险增加相关。孤立性甲状腺功能减退症与 PTD 之间的关联主要与自发性 PTD 有关(HR1.33,95% CI [1.11-1.59]),而显性甲状腺功能亢进症与医源性 PTD 有关(HR1.51,95% CI [1.18-1.92])相比甲状腺功能正常的女性。此外,中介分析确定,显性甲状腺功能亢进症与医源性 PTD 风险之间的关联中有 11.80%(0.001)可以通过妊娠高血压疾病的发生来解释。

结论

我们首次发现母体 FT4 与 PTD 之间呈 U 形关联,超过了母体甲状腺功能检测异常的临床定义。我们的研究结果表明,需要建立母体 FT4 浓度的最佳范围,以预防妊娠不良结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28e9/8907667/f6846ac5b8d5/fendo-13-817595-g001.jpg

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