Hong Christopher X, Fairchild Pamela S, Schmidt Payton C, Triebwasser Jourdan E
Department of Obstetrics and Gynecology, University of Michigan, University Hospital South, 1500 E. Medical Center Dr., L4011, Ann Arbor, MI, 48109, USA.
Int Urogynecol J. 2025 Jan;36(1):87-92. doi: 10.1007/s00192-024-05967-1. Epub 2024 Nov 1.
The objective was to determine the incidence of obstetric anal sphincter injuries (OASIs) and assess the predictive power of clinical risk factors for OASIs, both individually and collectively, using a US population-based birth registry.
We conducted a cross-sectional study using birth data from the National Vital Statistics System from 2016 to 2021. All vaginal births were included, excluding those with unspecified delivery route or perineal laceration status. Logistic regression models assessed the relationship between potential clinical predictors, determined a priori based on existing literature and inclusion in the registry data, and OASIs. The pseudo-R (pR), which indicates the proportion of variability in OASIs explained by the model out of 100%, was used to compare the predictive strength of different clinical factors.
A total of 15,413,957 vaginal births were analyzed. The overall incidence of OASIs was 1.1%. The factors that exhibited the highest predictive capability for OASIs were vaginal parity (pR 5.8%) and operative birth (pR 4.8%), followed by infant weight (pR 1.5%); all other factors had a pR of 0.5% or lower. The final multivariable logistic regression model had a pR of 11.8%.
Vaginal parity and operative birth are among the most predictive clinical risk factors for OASIs, each accounting for approximately 5% of the variation in OASI outcomes. However, a significant portion of OASI occurrences remains unexplained by clinical risk factors alone. Future research focusing on the mechanisms of OASIs will be crucial for identifying high-risk patients and developing targeted interventions to reduce the risk of OASIs.
目的是利用美国基于人群的出生登记系统,确定产科肛门括约肌损伤(OASIs)的发生率,并评估临床风险因素对OASIs的预测能力,包括单独评估和综合评估。
我们使用了2016年至2021年国家生命统计系统的出生数据进行横断面研究。纳入所有阴道分娩,排除分娩途径或会阴裂伤状态未明确的情况。逻辑回归模型评估了潜在临床预测因素(根据现有文献和登记数据中的纳入标准预先确定)与OASIs之间的关系。伪R(pR)用于比较不同临床因素的预测强度,它表示模型解释的OASIs变异性在100%中所占的比例。
共分析了15413957例阴道分娩。OASIs的总体发生率为1.1%。对OASIs表现出最高预测能力的因素是经阴道分娩次数(pR 5.8%)和手术分娩(pR 4.8%),其次是婴儿体重(pR 1.5%);所有其他因素的pR为0.5%或更低。最终的多变量逻辑回归模型的pR为11.8%。
经阴道分娩次数和手术分娩是OASIs最具预测性的临床风险因素,每个因素约占OASI结局变异的5%。然而,仅临床风险因素无法解释很大一部分OASI的发生情况。未来聚焦于OASIs机制的研究对于识别高危患者和制定针对性干预措施以降低OASIs风险至关重要。