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. 2026 Apr 15;16:12473. doi: 10.1038/s41598-026-48444-z

Uterine rupture risk during trial of labor after one cesarean in a population-based cohort study of induction method and labor management

Christina Roeck Hansen 1,2,, Ängla Mantel 1,2, Ingela Hulthén-Varli 2,3, Kari Johansson 1, Charlotte Lindblad Wollmann 1,2
PMCID: PMC13087215  PMID: 41986438

Abstract

A prior cesarean section is the primary risk factor for uterine rupture in a trial of labor after cesarean, a rare event associated with severe maternal and neonatal morbidity and mortality. This population-based cohort study aimed to determine the risk of uterine rupture in women undergoing trial of labor after one previous cesarean section in the Stockholm-Gotland Region and to examine associations between induction methods, labor management, and rupture risk. The cohort included 11,947 women with a cephalic-presenting, singleton infant at ≥ 37 + 0/6 weeks of gestation. Incidence of uterine rupture was calculated by labor onset and management strategies. Multivariable logistic regression assessed associations between labor characteristics, uterine rupture, and adverse maternal and perinatal outcomes. Overall, 216 (1.8%) women experienced uterine rupture. Induction of labor was associated with higher odds of rupture than spontaneous onset (aOR 1.63; 95% CI 1.20–2.22). Prostaglandin induction showed 2.6-fold increased odds (aOR 2.58; 95% CI 1.77–3.74), while balloon catheter showed no association (aOR 0.99; 95% CI 0.61–1.61). Prostaglandin use was thus linked to increased risk of uterine rupture, whereas balloon catheter induction was not. When induction is necessary, mechanical methods may be safer, though vigilant monitoring remains crucial.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-026-48444-z.

Keywords: Cohort study, Uterine rupture, Trial of labor after cesarean, Induction of labor, Maternal morbidities

Subject terms: Diseases, Health care, Medical research, Risk factors

Introduction

The mode of a woman’s first delivery has significant implications for her future reproductive health, influencing subsequent delivery options and serving as a key determinant of obstetric risk. Notably, a prior cesarean section (CS) is the primary risk factor for uterine rupture during a subsequent trial of labor1. Although rare, uterine rupture is a potentially catastrophic obstetric event associated with severe maternal and neonatal morbidity and mortality2,3.

Current clinical guidelines from the Royal College of Obstetricians and Gynaecologists (RCOG) and the American College of Obstetricians and Gynecologists (ACOG), among others, recommend that women with one previous CS may be offered a trial of labor after cesarean (TOLAC)46. Both spontaneous labor onset and labor induction are considered acceptable approaches; however, both have been associated with an increased risk of uterine rupture710.

With cesarean rates rising globally—now accounting for 21% of all births worldwide11—and induction and augmentation of labor becoming increasingly common4, the need for robust, evidence-based strategies to manage TOLAC is more urgent than ever. In Sweden, for example, 30% of deliveries are induced, and more than half of all women in labor receive some form of augmentation according to annual reports of national statistics in 20244.

Studying uterine rupture is inherently challenging due to its low incidence. Randomized controlled studies are scarce, and existing evidence is largely derived from retrospective studies with heterogeneous study designs and inclusion criteria, often yielding inconsistent findings1,12. This variability has contributed to ongoing debate regarding optimal risk stratification and management strategies for women undergoing TOLAC7,1316. The objective of this study was to investigate the association between labor management strategies—including induction methods—and the risk of uterine rupture, as well as to examine related perinatal outcomes, using a large contemporary population-based cohort with prospectively collected clinical information.

Methods

Setting and data sources

In Sweden, maternal health services are publicly funded and provided free of charge, resulting in near-universal coverage with 98.9%4 of pregnant women participating. The Stockholm-Gotland Perinatal Cohort (SGPC) is a prospectively collected, population-based cohort including the eight delivery centers across the Stockholm and Gotland regions in Sweden—representing ~ 25% of Swedish births17. It integrates data from electronic medical records, including antenatal visits and admissions, labor and delivery, neonatal care, and postpartum follow-up. Personal identification numbers have been replaced by pseudo-anonymous serial numbers from the Swedish National Board of Health and Welfare. All data management and analysis were performed on de-identified data.

The study was approved by the Swedish Ethical Review Authority, before 2019 named the Regional Ethical Review Board in Stockholm (2009/275-31, 2012/365-32, 2013/792-32, 2014/177-32, 2014/962-32, 2019-02818, 2020-01162, 2021-01229). According to these approvals, the requirement for informed consent was waived.

All methods and analyses were performed in accordance with relevant guidelines and regulations.

Diagnoses and procedures in SGPC are registered according to the International Classification of Diseases version 10 (ICD-10).

Study population

We identified 335,153 births from 22 + 0/6 gestational weeks onward from the SGPC between 2008 and June 2020. From this group, we included women with a first (primary) CS, followed by a subsequent singleton delivery during the same time period. The second delivery was restricted to live-born, cephalic-presenting infants at ≥ 37 + 0/6 weeks of gestation, yielding an initial cohort of 21,214 women.

We excluded women with a planned (elective) CS, as registered in the SGPC, in the second pregnancy (n = 9247), as well as those who experienced intrauterine fetal death (n = 20), resulting in a final study population of 11,947 women who underwent TOLAC (see Fig. 1).

Fig. 1.

Fig. 1

Flowchart of the study population and then stratified by onset of delivery: spontaneous onset, augmentation, and method of induction. PG, prostaglandins.

Exposures and covariates

The primary exposure was labor induction versus spontaneous onset. Induction methods were further categorized as medical, using prostaglandins (PG); including Misoprostol (a synthetic PGE1 analogue) and Dinoprostone (a PGE2 analogue), or mechanical induction using a transcervical balloon catheter. These methods were identified by ICD-10 [O610, O610A, O610B, and O610X for medical induction; O611, O611A, O611B, or O611X for mechanical induction] combined with registry checkboxes specifying the induction method used. Oxytocin use was also recorded and compared between the groups (Fig. 1).

Baseline descriptive data, including maternal risk factors and characteristics (age, height, body mass index [BMI], smoking, snuff, cohabiting status, in-vitro-fertilization [IVF]), pregnancy complications and comorbidities (diabetes and hypertensive disorder noted by checkbox by the maternal health care provider or by ICD-10 [O24.0, O24.1, O24.4, O10, O13.9, O14 or O15]) were collected. Delivery characteristics (mode of delivery, induction methods, epidural anesthesia, as well as gestational age and birth weight) were also collected. Data on Bishop score, as recorded at the start of induction, were obtained for the induction groups.

Outcomes

The primary outcome was uterine rupture, identified as registered diagnosis in the SGPC (ICD-10; O71.0 or O71.1). The attending clinician established the diagnosis during emergency CS or postpartum laparotomy performed in response to suspected complications. To reduce the risk of outcome misclassification, particularly the inclusion of uterine dehiscence cases identified through registry coding, we performed a supplementary sensitivity analysis using a stricter, clinically oriented definition of uterine rupture. Severe uterine rupture was defined as a registered diagnosis of uterine rupture in combination with the composite outcome of neonatal asphyxia (metabolic acidosis or Apgar score < 4 at 5 min).

Secondary maternal outcomes included postpartum hemorrhage, defined as an estimated blood loss > 1000 ml and hysterectomy, identified through registered diagnostic or procedural codes (ICD-10; O82.2, LCD00, LCD30, or MCA33).

Neonatal secondary outcomes included Apgar score < 4 at 5 min, umbilical cord artery pH < 7.0, metabolic acidosis defined as pH < 7.0 or pH < 7.10 in combination with base excess <-12 in umbilical cord artery blood, and a composite outcome of asphyxia defined as either metabolic acidosis (as above) or Apgar < 4 at 5 min. Additional neonatal outcomes were hypoxic ischemic encephalopathy15(ICD-10; P91.6, P91.6 A, P91.6B, P91.6 C or P91.6X), and neonatal seizure (ICD-10; P909, P909A, P909B or P909C).

Statistical analysis

Maternal, neonatal, and delivery characteristics were tabulated and compared between women with versus without uterine rupture (primary outcome). Categorical variables were analyzed using the chi-square test, and continuous variables were analyzed using the two-tailed Student’s t test when normally distributed; otherwise, the Kruskal-Wallis test was performed. A p-value < 0.05 was considered statistically significant. The proportion of missing data was low (< 5%). Descriptive statistics were based on available data.

Due to the rarity of the primary outcome, crude and multivariable logistic regression analyses were performed using complete-case data to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to estimate the associations between labor characteristics and uterine rupture, as well as neonatal outcomes. Potential confounders were selected based on prior knowledge and clinical experience. They included maternal height, maternal age, BMI, gestational age, year of delivery, and delivery clinic when analyzing for delivery onset characteristics and labor management. Further adjustment for Bishop score was added for comparison between the induction groups. Maternal age, BMI, gestational age, year of delivery, and maternal morbidities (hypertension disorders and diabetes) were considered when analyzing for neonatal outcomes.

Statistical analyses were conducted using SAS® software version 9.4 (SAS Institute Inc., Cary, NC, USA).

Results

Incidence and labor characteristics

Among the 11,947 women undergoing TOLAC, the overall incidence of uterine rupture was 1.8% (n = 216).

Baseline maternal and labor characteristics are presented in Table 1. Women with uterine rupture had significantly higher BMI, were more likely to receive epidural anesthesia, as well as undergo repeat cesarean section and induction of labor. There was specifically a higher rate of induction of labor using prostaglandins in the uterine rupture group. Among women undergoing induction of labor, Bishop score distribution differed according to rupture status. The women with uterine rupture also had higher rates of postpartum hemorrhage and hysterectomy. Additionally, these pregnancies tended to have longer gestational duration and higher neonatal birthweights. In the supplementary sensitivity analysis using the stricter outcome definition (severe uterine rupture), some baseline characteristics differed between the groups (Supplementary Table S1). There were 52 cases of severe uterine rupture (0.4%). Women with severe uterine rupture were shorter than those without rupture. Otherwise, no statistically significant difference was observed between the groups regarding induction of labor, Bishop score distribution among those with prostaglandin induction, hysterectomy, gestational length, or birth weight, in contrast to the analysis using the broader definition of uterine rupture.

Table 1.

Maternal and perinatal characteristics by uterine rupture in women with trial of labor after a first cesarean delivery, Stockholm-Gotland, Sweden 2008–2020 (N = 11,947).

Uterine rupture
No
n = 11,731 (98.2%)
Yes
n = 216 (1.8%)
p-value Missing data (%)
n % n %
Maternal characteristics
 Age mean years (± SD) 32.7 (4.5) 32.7 (4.5) 0.79 7 (0.1)
 Age years 0.84
   ≤ 19 16 0.1 0 0.0
   20–29 2811 24.0 51 23.6
   30–34 4760 40.6 86 39.8
   35–39 3467 29.6 63 29.2
   ≥ 40 670 5.7 16 7.4
 Height mean cm (± SD) 164.9 (6.6) 164.1 (6.0) 0.10 134 (1.1)
 Height cm 0.16
   ≤ 154 667 5.8 14 6.6
   155–164 4838 41.7 93 44.1
   165–174 5249 45.3 97 46.0
   ≥ 175 847 7.3 7 3.3
 BMI mean kg/m2 (± SD) 24.8 (4.5) 25.5 (4.9) 0.02 455 (3.8)
 BMI kg/m2 0.03
   ≤ 19.9 980 8.9 17 8.5
   20.0–24.9 5654 51.1 81 40.7
   25.0–29.9 3027 27.4 70 35.2
   30.0–34.9 1011 9.1 20 10.1
   ≥ 35.0 391 3.5 11 5.5
 Hypertensive disease 589 5.0 8 3.7 0.38
 Diabetes 329 2.8 8 3.7 0.43
 IVF 515 4.4 13 6.0 0.25
 Smoking 309 2.7 6 2.8 0.91 178 (1.5)
 Snuff 81 0.7 < 5 0.9 0.68
 Cohabiting with partner 11,097 96.1 208 97.7 0.24 184 (1.5)
Delivery characteristics
 Mode of delivery < 0.001
  Cesarean section 3596 30.7 191 88.4
  Vaginal delivery 8135 69.4 25 11.6
    Instrumental vaginal delivery 1458 12.4 16 7.4
 Induction of labor 2548 21.7 73 33.8 < 0.001
  Mechanical 1197 10.2 22 10.2 0.99
    Bishop score 0.03 73 (6.0)
      0–3 331 29.2 4 19.1
      4–5 441 39.2 12 57.1
      >5 353 31.4 5 23.8
  Prostaglandin 944 8.1 41 19.0 < 0.001
    Bishop score 0.02 49 (5.0)
      0–3 505 56.3 13 33.3
      4–5 234 26.1 15 38.5
      >5 158 17.6 11 28.2
 Hemorrhage > 1000 ml 960 8.2 60 28.3 < 0.001 52 (0.4)
 Hysterectomy 0 0.0 < 5 0.5 < 0.001
 Epidural 7255 61.8 176 81.5 < 0.001
 Gestational length mean days (± SD) 281 (9) 284 (8) < 0.001
 Birth weight mean g (+/-SD) 3608 (480) 3697 (481) 0.007 18 (0.2)
 Macrosomia (> 4500 g) 390 3.3 10 4.7 0.29

For outcome < 5 exact numbers are not given.

SD, standard deviation; BMI, body mass index; IVF, in vitro fertilization.

Labor onset, induction methods, and uterine rupture

An overview of labor onset and management, stratified by spontaneous vs. induced onset and their respective management pathways is presented in Fig. 1.

In total, 9326 (78.1%) women had a spontaneous onset of labor, of whom 143 (1.5%) experienced uterine rupture. Within this group, 4291 (46%) labored without oxytocin augmentation, while 5035 (54%) received oxytocin augmentation. The incidence of uterine rupture was 1.2% in the non-augmented group and 1.8% in the augmented group, corresponding to 1.5-fold increased odds of uterine rupture. However, this association did not remain statistically significant after adjustment for potential confounders.

In contrast, 2621 (21.9%) women underwent induction of labor, among whom 73 (2.8%) experienced uterine rupture. Compared with spontaneous onset (with or without oxytocin), induction of labor was associated with 1.6-fold increased odds of uterine rupture (aOR 1.63; 95% CI 1.20–2.22).

When evaluating induction methods separately, prostaglandin use (with or without oxytocin) was associated with the highest odds of uterine rupture. Among 985 women induced with prostaglandins, 41 (4.2%) experienced uterine rupture. Compared with spontaneous labor onset, prostaglandin induction was associated with 2.6-fold higher adjusted odds of uterine rupture (aOR 2.58; 95% CI 1.77–3.74). Among 1219 women induced mechanically, 22 (1.8%) experienced uterine rupture, which did not differ significantly from spontaneous onset (aOR 0.99; 95% CI 0.61–1.61). When comparing prostaglandins and mechanical induction separately to spontaneous onset without the usage of oxytocin, both associations were non-significant (aOR 1.92; 95% CI 0.89–4.12 and aOR 1.09; 95% CI 0.26–4.62 respectively). However, when directly compared, prostaglandin induction was associated with 3-fold higher adjusted odds of uterine rupture than mechanical induction (aOR 3.07; 95% CI 1.73–5.48) (Table 2). In the supplementary sensitivity analysis using severe uterine rupture as the outcome, the direction of the associations was consistent with the main analysis (Supplementary Table S2). Compared with spontaneous labor, prostaglandin induction remained associated with a significantly increased odds of severe uterine rupture (aOR 2.31; 95% CI 1.07–4.99). Similarly, prostaglandin induction was associated with 3.5-fold higher odds of severe uterine rupture compared with mechanical induction (aOR 3.48; 95% CI 1.01–12.02), whereas the remaining comparisons did not reach statistical significance.

Table 2.

Labor onset and management characteristics, and their association with uterine rupture in a Swedish cohort of women undergoing trial of labor after cesarean (N = 11,947).

Labor characteristics No. of patients Uterine rupture Odds ratio
crude
Odds ratio adjustedb p-value
No. (%) cOR 95% CI aOR 95% CI
Spontaneous (Ref)a 9326 143 (1.5)
IOL 2621 73 (2.8) 1.84 1.38–2.45 1.63 1.20–2.22 0.002
IOL with PG only 985 41 (4.2) 2.79 1.96–3.97 2.58 1.77–3.74 < 0.001
Mechanical IOL only 1219 22 (1.8) 1.18 0.75–1.86 0.99 0.61–1.61 0.96
Spontaneous, no oxytocin (Ref)c 4291 51(1.2)
Augmented 5035 92 (1.8) 1.55 1.10–2.18 1.35 0.94–1.93 0.12
IOL with PG only, no oxytocin 353 10 (2.8) 2.42 1.22–4.82 1.92 0.89–4.12 0.09
Mechanical IOL only, no oxytocin 129 < 5 1.98 0.61–6.43 1.09 0.26–4.62 0.91
Mechanical IOL only (Ref)d 1219 22 (1.8)
IOL with PG only 985 41 (4.2) 2.36 1.40–4.00 3.07 1.73–5.48 < 0.001

aWomen with spontaneous onset of labor with or without the use of oxytocin served as reference group.

bAdjusted for maternal height, maternal age, body mass index (BMI), gestational age, year of delivery, and delivery clinic.

cWomen with spontaneous onset of labor without the use of oxytocin served as reference group.

dWomen undergoing induction of labor using mechanical methods only with or without the use of oxytocin served as reference group. The model is additionally adjusted for Bishop score.

IOL, induction of labor; PG, prostaglandin.

Perinatal outcomes

All adverse neonatal outcomes assessed were significantly more frequent among infants born to mothers who experienced uterine rupture. As shown in Table 3, uterine rupture was strongly associated with increased odds of severe neonatal morbidity. An Apgar score < 4 at 5 min occurred in 5.1% of infants in the uterine rupture group, corresponding to a 20-fold increase in adjusted odds compared with infants born without rupture (aOR 20.25; 95% CI 9.92–41.35). Umbilical cord artery pH < 7.0 was observed in 19.3% (aOR 16.95; 95% CI 10.87–26.43), and metabolic acidosis in 27.7% (aOR 9.86; 95% CI 6.79–14.33). The composite outcome of asphyxia occurred in 24.1% (aOR 10.42; 95% CI 7.38–14.73). Neonatal seizures (3.2%) and HIE (4.6%) were likewise associated with uterine rupture (aOR 16.21; 95% CI 6.38–41.17 and aOR 15.12; 95% CI 6.74–33.89, respectively).

Table 3.

Neonatal outcomes associated with uterine rupture in a Swedish cohort of women undergoing trial of labor after cesarean (N = 11,947).

Neonatal outcome No. of patients Uterine rupture Odds ratio crude Odds ratio adjustedb p-value
No. (%) cOR 95% CI aOR 95% CI
No uterine rupture (Ref) a 11,731
Apgar at 5 min < 4 42 11 (5.1) 20.23 10.03–40.81 20.25 9.92–41.35 < 0.001
Umbilical cord artery pH < 7.0 140 34 (19.3) 18.63 12.24–28.37 16.95 10.87–26.43 < 0.001
Metabolic acidosisc 350 47 (27.7) 10.03 7.03–14.31 9.86 6.79–14.33 < 0.001
Compound asphyxiad 382 52 (24.1) 10.96 7.87–15.25 10.42 7.38–14.73 < 0.001
Neonatal seizure 31 7 (3.2) 16.34 6.96–38.34 16.21 6.38–41.17 < 0.001
HIE 42 10 (4.6) 17.75 8.61–36.58 15.12 6.74–33.89 < 0.001

aWomen without uterine rupture used as reference group.

bAdjusted for maternal age, body mass index (BMI), gestational age, year of delivery, maternal hypertensive disease, and diabetes.

cMetabolic acidosis: umbilical artery pH < 7.0 or pH < 7.10 and umbilical artery base.

excess<-12.

dCompound asphyxia: metabolic acidosis or Apgar at 5 min < 4.

HIE, hypoxic ischemic encephalopathy.

Discussion

In this large contemporary population-based cohort of 11,947 women with one previous cesarean undergoing TOLAC, the incidence of uterine rupture was 1.8%. Induction of labor was associated with higher odds of uterine rupture compared with spontaneous labor onset, particularly when prostaglandins were used. Uterine rupture was further linked to substantial maternal and neonatal morbidity.

A major strength of this study is the use of a large, population-based cohort of nearly 12,000 women across eight delivery centers, representing one quarter of all births in Sweden during the study period. The near-universal coverage of antenatal care in Sweden, and the high proportion of hospital-based deliveries, further enhance the generalizability of our findings to other similar high-income settings. Given the rarity of uterine rupture and the ethical and logistical challenges of conducting randomized controlled trials in this context, large-scale observational data are critical for generating clinically relevant evidence. This study provides robust estimates of uterine rupture risk across different modes of labor onset and induction strategies, directly informing clinical practice in settings where TOLAC is widely recommended.

Limitations include missing details on the index cesarean delivery and prior uterine surgery, which may affect the risk of future uterine rupture10,18,19. Information on dose and route of prostaglandin administration was unavailable, precluding evaluation of their potential influence on uterine rupture risk. The use of oxytocin was not statistically significantly associated with uterine rupture in the present study, which differs from previous reports, including the meta-analysis by Zhang et al.7 suggesting an increased risk associated with oxytocin use during TOLAC. That meta-analysis also highlights the potential importance of dose-response relationships between oxytocin exposure and uterine rupture. Information on oxytocin dosage and duration was not available in the present dataset, which limits the interpretation of these findings. Finally, analyses evaluating oxytocin as a potential mediator may have provided additional insight but were beyond the scope of the current study. The diagnosis of uterine rupture relied on ICD-10 codes recorded by the attending physician, which may introduce misclassification, for example, where partial uterine ruptures or uterine dehiscence were included. However, the supplementary sensitivity analysis restricting the outcome to severe uterine rupture supports the robustness of our main findings. The association between prostaglandin induction and uterine rupture, compared to both spontaneous labor onset and mechanical induction, remained statistically significant, validating the main findings in this study. Finally, some neonatal outcomes may have been underreported if diagnosed after transfer to a neonatal unit, although uterine rupture is typically captured at delivery.

This study highlights the risk of substantial maternal and neonatal morbidity, including neonatal asphyxia, associated with uterine rupture. The incidence of uterine rupture in our study (1.8%) was higher than the incidences found in many previous studies, which typically range from 0.5 to 0.9% among women with a previous low-transverse uterine incision5. One potential explanation is that our population consisted exclusively of women with one previous cesarean and no prior vaginal deliveries, whereas many previous studies reporting a lower incidence of uterine rupture include women with prior vaginal deliveries. Previous vaginal delivery, including successful TOLAC, has consistently been shown to reduce the risk of uterine rupture8. A study by Zelop et al.20demonstrated an incidence of 1.1% for uterine rupture among women undergoing TOLAC with no prior vaginal delivery. Consequently, studies including multiparous women with prior vaginal deliveries may underestimate the risk for first-time TOLAC candidates, whereas our findings may be more representative of this higher-risk subgroup. The use of ICD-codes for the identification of uterine rupture also introduces the risk of including partial ruptures and dehiscence, as previously discussed, which may lead to an inflation of the overall incidence. However, the strong association observed in this study with neonatal morbidity, as well as the supplementary sensitivity analysis support the clinical relevance of the recorded diagnoses. In a Norwegian registry-based study, in which uterine rupture diagnoses were clinically verified, Al-Zirqi et al.21 reported that the temporal trend of uterine rupture appears to be rising, which may partly reflect changes in obstetric care during TOLAC, such as increasing rates of labor induction and augmentation use. The combination of the high-risk population in this study, broader classification of uterine rupture, and evolving clinical practice may therefore explain the higher incidence of uterine rupture found in this study.

The association between labor induction and the risk of uterine rupture has been examined in multiple studies, yet findings remain inconsistent. A systematic review and meta-analysis by Wingert et al.22 highlighted important limitations in the evidence base, noting that most studies suffer from small sample sizes and low event rates, limiting the precision of risk estimates and the ability to provide evidence-based counselling for considering TOLAC. Similarly, a review by Deshmukh et al.23 indicated an increased risk of uterine rupture associated with induction of labor, particularly when prostaglandins were used. Interpretation, however, was complicated by the frequent concomitant use of oxytocin, making it difficult to isolate the specific contribution of each agent. Many previous studies were also single-center and retrospective studies with heterogeneous induction protocols and exposure definitions. This study shares some of these limitations; however, by contrast, the large multicenter design of the present study and the ability to analyze prostaglandins and balloon catheter separately, strengthen the validity of our findings.

Another important factor influencing both induction strategy and uterine rupture risk is cervical status at the time of induction. A more favorable Bishop score has been associated with shorter labor duration, whereas prolonged labor duration increases the likelihood of uterine rupture24,25. Women with an unfavorable cervix often require prostaglandins for cervical ripening26,27. Prostaglandins, however, have been linked to an increased risk of uterine hyperstimulation27,28, which may in turn increase intrauterine pressure and mechanical stress on the uterine scar. Thus, the elevated risk observed with prostaglandins may therefore reflect a combination of drug effects and cervical factors. However, adjustment for Bishop score was included when analyzing the association between prostaglandin induction and uterine rupture compared with mechanical induction, indicating that the increased risk may not be explained by cervical favorability alone.

Future studies should aim to disentangle the effects of prostaglandin type and dosage, and to evaluate the mediating role of oxytocin in the pathway to uterine rupture.

Conclusion

In this large population-based cohort of women with one previous CS, induction of labor was associated with higher odds of uterine rupture compared with spontaneous labor onset. The risk was particularly elevated with prostaglandin use, whereas mechanical induction with a balloon catheter was not associated with increased odds.

For women undergoing TOLAC, spontaneous labor onset remains the safest option. When induction is necessary, careful monitoring is essential, and mechanical methods may represent a safer alternative to minimize the risk of uterine rupture and its associated maternal and neonatal morbidity.

Supplementary Information

Below is the link to the electronic supplementary material .

Supplementary Material 1 (29.3KB, docx)

Acknowledgements

Acknowledgements to Gunnar Petersson, database manager of the Stockholm–Gotland Perinatal Cohort, for creating the data set used in this study.

Author contributions

All authors contributed to the planning and design of the study. Coding of the data analysis was done by CRH under the supervision of CLW. Interpretation of data was done by CRH and CLW with methodical expertise from ÄM, KJ, and IV. The first draft of the manuscript was written by CRH. CLW, ÄM, KJ, and IV revised the manuscript. All authors read and approved the final manuscript.

Funding

Open access funding provided by Karolinska Institute. ÄM was funded by the Strategic Research Area in Epidemiology and Biostatistics and Region Stockholm; CLW was funded by Region Stockholm. The funders had no role in study design or conduct; data collection, management, analysis, or interpretation; or in the preparation, review, or approval of the manuscript.

Data availability

The data that support the findings of this study are not publicly available due to ethical and legal restrictions, as they contain sensitive health information and were accessed under approval from regional ethical boards and data-holding authorities. De-identified data may be made available to qualified researchers after approval by the Swedish Ethical Review Authority and with permission from the relevant data holders. The statistical analysis code (SAS) is available from the corresponding author upon reasonable request.

Declarations

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Change history

6/17/2026

The original online version of this Article was revised: The original version of this Article contained errors in the Affiliations. Affiliation 1 referred to the “Clinical Epidemiology Division, Department of Medicine, Karolinska University Hospital, Stockholm, Sweden” when correct Affiliation is “Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden”. Additionally, Ingela Hulthén Varli was erroneously tagged with Affiliation 1, when they are actually affiliated with Affiliation 2: “Division of Obstetrics and Gynecology, Department of Women’s and Children’s Health, Karolinska University Hospital, Stockholm, Sweden”. Lastly, Kari Johansson erroneously tagged with Affiliated 2. The Author list and Affiliation list have been corrected accordingly.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material 1 (29.3KB, docx)

Data Availability Statement

The data that support the findings of this study are not publicly available due to ethical and legal restrictions, as they contain sensitive health information and were accessed under approval from regional ethical boards and data-holding authorities. De-identified data may be made available to qualified researchers after approval by the Swedish Ethical Review Authority and with permission from the relevant data holders. The statistical analysis code (SAS) is available from the corresponding author upon reasonable request.


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