Larsudd-Kåverud Jennie, Åkervall Sigvard, Molin Mattias, Nilsson Ida Ek, Steyerberg Ewout W, Milsom Ian, Gyhagen Maria
Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden; Department of Obstetrics and Gynecology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden.
J Clin Epidemiol. 2025 Jul;183:111782. doi: 10.1016/j.jclinepi.2025.111782. Epub 2025 Apr 10.
To develop and validate prediction models for obstetric anal sphincter injury (OASI) in three birth scenarios (first vaginal delivery, vaginal birth after cesarean section and second vaginal delivery). Antenatal and intrapartal predictors were included in the models to construct a web-based, interactive, easy-to-use calculator.
All 45 maternity units in Sweden participated in the study, with 609,916 first and second deliveries in gestational week ≥37 + 0 with singleton pregnancies and cephalic presentations between 2009 and 2017. The outcome was OASI, defined as a third- or fourth-degree perineal injury involving the external or internal anal sphincter muscles, or both. We analyzed the relative contribution of predictors with Nagelkerke's R (R) after minimization of the Bayesian Information Criterion for the predictor selection in a logistic regression with OASI as the binary outcome. Model performance was evaluated according to overall measures, discriminative ability, and calibration, with optimism-correction by a bootstrap procedure.
OASI occurred in 25,245 women (4.1%). There were 54 relevant, possible predictors, and 47 predictors were kept as candidates for the final models. We included 28, 40, and 46 predictors for the three scenarios, respectively. Infant birth weight was identified as the primary predictor, contributing 31%-45% of the R in the full prediction models, which had R values of 9.3%, 7.4%, and 12.9% for each scenario. In two-para women, obstetric information from the first birth was important at the second birth, accounting for 50% of the total predictive information. A sphincter injury in the first vaginal delivery strongly predicted a repeat injury (R, 40%). Vacuum delivery in the first and second vaginal delivery contributed 33% and 29% of R, respectively. By incorporating information on fetal biometry and labor events, the performance of the models increased substantially (eg, R increased from 1.7% to 9.3% in the first scenario). An online calculator was developed (www.sphinctercalc.com).
Fetal birth weight is the crucial predictor of sphincter injury, supporting efforts to assess fetal biometrics through imaging techniques. This also applies to obstetric interventions, particularly vacuum delivery, provided that there are alternatives to act upon. The proposed online calculator requires further international validation and refinement before it can be widely used clinically and for women's shared decision-making.
A third- or fourth-degree vaginal tear (also known as obstetric anal sphincter injury) occurs in about six in 100 women having their first vaginal birth and may lead to loss of bowel control or holding in wind. This study analyzed existing data from thousands of women who had already delivered 1 or 2 children to build a prediction model that can be used prospectively by health-care professionals and pregnant women to assess a woman's individual risk of having a third- or fourth-degree tear to be able to prevent it occurring.
开发并验证三种分娩情况(首次阴道分娩、剖宫产术后阴道分娩及第二次阴道分娩)下产科肛门括约肌损伤(OASI)的预测模型。模型纳入产前和产时预测因素,以构建基于网络的、交互式的、易于使用的计算器。
瑞典所有45个产科单位参与了本研究,纳入2009年至2017年期间孕周≥37 + 0、单胎妊娠且头先露的609,916例首次和第二次分娩。结局为OASI,定义为累及外括约肌或内括约肌或两者的三度或四度会阴损伤。在以OASI为二元结局的逻辑回归中,通过最小化贝叶斯信息准则进行预测因素选择后,我们用Nagelkerke氏R(R)分析了预测因素的相对贡献。根据总体指标、鉴别能力和校准情况评估模型性能,并通过自助法进行乐观校正。
25,245名女性(4.1%)发生了OASI。有54个相关的、可能的预测因素,47个预测因素作为最终模型的候选因素保留。我们分别为三种情况纳入了28个、40个和46个预测因素。婴儿出生体重被确定为主要预测因素,在完整预测模型中贡献了31% - 45%的R,每种情况的R值分别为9.3%、7.4%和12.9%。在经产妇中,首次分娩的产科信息在第二次分娩时很重要,占总预测信息的50%。首次阴道分娩时的括约肌损伤强烈预测再次损伤(R,40%)。首次和第二次阴道分娩时使用真空吸引助产分别贡献了33%和29%的R。通过纳入胎儿生物测量和产程事件信息后,模型性能大幅提高(例如,第一种情况中R从1.7%增至9.3%)。开发了一个在线计算器(www.sphinctercalc.com)。
胎儿出生体重是括约肌损伤的关键预测因素,支持通过影像学技术评估胎儿生物测量的努力。这也适用于产科干预措施,特别是真空吸引助产,前提是有其他可采取的替代措施。所提议的在线计算器在能够广泛应用于临床及女性共同决策之前,还需要进一步的国际验证和完善。
每100名首次阴道分娩的女性中约有6人会发生三度或四度阴道撕裂(也称为产科肛门括约肌损伤),这可能导致肠道控制能力丧失或排气困难。本研究分析了数千名已生育1或2个孩子的女性的现有数据,以建立一个预测模型,医疗保健专业人员和孕妇可前瞻性地使用该模型评估女性发生三度或四度撕裂的个体风险,从而预防其发生。