VBAC Risk Score for Successful Vaginal Delivery

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VBAC Risk Score Calculator

Flamm admission score for estimating the likelihood of successful vaginal birth after a previous caesarean section.

Patient factors at admission

Select the option that best reflects the patient’s presentation.

Result

Results update automatically when values are changed.

Flamm VBAC score
2 Possible score: 0–10
Successful VBAC in original cohort
49.1% Lower predicted success Score range: 0–2
This admission score is for patients presenting in labour. A lower score does not predict VBAC failure and should not be used alone for delivery planning.

Flamm score range: 0–10. Use alongside clinical assessment, local protocols, and obstetric judgement.

The VBAC (Vaginal Birth After Cesarean) Success Score, commonly known as the Flamm Model, is a clinical tool developed to assist healthcare providers and patients in predicting the likelihood of a successful vaginal delivery after a previous cesarean section.

Since its introduction in the late 1990s, the Flamm Model has become a cornerstone of obstetric counseling, helping to balance the benefits of a successful VBAC against the risks associated with a failed Trial of Labor After Cesarean (TOLAC), such as uterine rupture.


The Flamm Model Scoring System

The model utilizes five key clinical variables available at the time of admission for delivery. Each variable is assigned a point value; the higher the total score, the higher the probability of a successful vaginal birth.

Scoring Variables

The scoring system is broken down as follows:

VariableCriteriaPoints
Age< 40 years2
≥ 40 years0
Vaginal Birth HistoryPrior VBAC and Prior C-Section4
Prior Vaginal Birth (Before C-Section)2
No Prior Vaginal Births0
Reason for Prior C-SectionNon-recurring (e.g., Breech, Fetal Distress)1
Recurring (e.g., Failure to Progress/Dystocia)0
Cervical Effacement> 75%2
25% – 75%1
< 25%0
Cervical Dilation≥ 4 cm1
< 4 cm0

(Source: Flamm & Geiger, 1997)


Predictive Probability of Success

Once the points are tallied (ranging from 0 to 10), clinicians can estimate the percentage of success. Research has shown that even with a low score, VBAC is possible, but a high score provides significant reassurance.

  • 0–2 Points: ~49% Success rate
  • 3 Points: ~60% Success rate
  • 4 Points: ~67% Success rate
  • 5 Points: ~77% Success rate
  • 6 Points: ~89% Success rate
  • 8–10 Points: ~95% Success rate

Clinical Utility and Limitations

Clinical Importance

The Flamm Model is particularly useful because it relies on information available upon admission to the labor ward. It allows for dynamic decision-making. If a patient presents with a very low score (0–3) and labor is not progressing, the clinical team might move toward a repeat cesarean earlier to avoid the complications of an exhausted labor.

Limitations

While highly effective, the Flamm Model does not account for:

  • Maternal BMI: Obesity is known to decrease the likelihood of VBAC success.
  • Inter-delivery Interval: A short time between pregnancies (< 18 months) increases uterine rupture risk, which this model does not quantify.
  • Fetal Weight: Macrosomia (large baby) is a significant factor in labor dystocia not captured here.

Conclusion

The Flamm VBAC Risk Score remains an essential, validated tool for shared decision-making. By quantifying the "chances" of success, it empowers patients to make informed choices about their birth plans while providing clinicians with a data-driven framework for labor management.

References

  1. Flamm, B. L., & Geiger, A. M. (1997). Vaginal birth after cesarean delivery: an admission scoring system. Obstetrics & Gynecology, 90(6), 907-910. https://doi.org/10.1016/S0029-7844(97)00531-0
  2. Groeneveld, E., et al. (2014). The predictive value of the Flamm and Geiger score for a successful vaginal birth after cesarean section in a Dutch population. Journal of Maternal-Fetal & Neonatal Medicine.
  3. ACOG Practice Bulletin No. 205 (2019). Vaginal Birth After Cesarean Delivery. Obstetrics & Gynecology. (Provides context on how scoring models fit into modern US guidelines).

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