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第一胎剖宫产对随后分娩严重产妇发病率影响的反事实分析。

A Counterfactual Analysis of Impact of Cesarean Birth in a First Birth on Severe Maternal Morbidity in the Subsequent Birth.

机构信息

From the Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.

School of Public Health, Oregon Health & Science University - Portland State University, Portland, OR.

出版信息

Epidemiology. 2024 Nov 1;35(6):853-863. doi: 10.1097/EDE.0000000000001775. Epub 2024 Jul 26.

Abstract

BACKGROUND

It is known that cesarean birth affects maternal outcomes in subsequent pregnancies, but specific effect estimates are lacking. We sought to quantify the effect of cesarean birth reduction among nulliparous, term, singleton, vertex (NTSV) births (i.e., preventable cesarean births) on severe maternal morbidity (SMM) in the second birth.

METHODS

We examined birth certificates linked with maternal hospitalization data (2007-2019) from California for NTSV births with a second birth (N = 779,382). The exposure was cesarean delivery in the first birth and the outcome was SMM in the second birth. We used adjusted Poisson regression models to calculate risk ratios and population attributable fraction for SMM in the second birth and conducted a counterfactual impact analysis to estimate how lowering NTSV cesarean births could reduce SMM in the second birth.

RESULTS

The adjusted risk ratio for SMM in the second birth given a prior cesarean birth was 1.7 (95% confidence interval: 1.5, 1.9); 15.5% (95% confidence interval: 15.3%, 15.7%) of this SMM may be attributable to prior cesarean birth. In a counterfactual analysis where 12% of the California population was least likely to get a cesarean birth instead delivered vaginally, we observed 174 fewer SMM events in a population of individuals with a low-risk first birth and subsequent birth.

CONCLUSION

In our counterfactual analysis, lowering primary cesarean birth among an NTSV population was associated with fewer downstream SMM events in subsequent births and overall. Additionally, our findings reflect the importance of considering the cumulative accrual of risks across the reproductive life course.

摘要

背景

已知剖宫产会影响后续妊娠的产妇结局,但具体的影响估计值尚不清楚。我们旨在量化无剖宫产史、足月、单胎、头位(NTSV)分娩(即可预防的剖宫产)减少对第二次分娩严重产妇并发症(SMM)的影响。

方法

我们分析了来自加利福尼亚州的与产妇住院数据相关联的出生证明(2007-2019 年),纳入了有第二次分娩的 NTSV 分娩(N=779382)。暴露因素为第一次分娩时行剖宫产术,结局为第二次分娩时发生 SMM。我们使用调整后的泊松回归模型计算第二次分娩时 SMM 的风险比和人群归因分数,并进行反事实影响分析,以估计降低 NTSV 剖宫产率如何减少第二次分娩时 SMM 的发生。

结果

有先前剖宫产史的第二次分娩发生 SMM 的调整后风险比为 1.7(95%置信区间:1.5,1.9);15.5%(95%置信区间:15.3%,15.7%)的 SMM可能归因于先前的剖宫产。在一个反事实分析中,假设加利福尼亚州 12%的人口最不可能行剖宫产,而是阴道分娩,我们观察到低危第一次分娩和随后分娩人群中 SMM 事件减少了 174 例。

结论

在我们的反事实分析中,降低 NTSV 人群中初次剖宫产率与随后分娩中 SMM 事件的减少有关,这反映了在整个生殖生命过程中考虑风险累积的重要性。

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