ObstetricsIntermediate

VBAC / TOLAC Success Predictor (MFMU)

Predicts probability of successful vaginal birth after cesarean section.

Clinical Parameters

6 Variables
Yes, this condition applies to the patient
Yes, this condition applies to the patient
Yes, this condition applies to the patient

Awaiting Clinical Parameters

Configure the patient variables on the left and select Calculate Result to generate the clinical score and stratification.

Verified 2026 GuidelinesInstant Calculation
Jump to Formula & Clinical Protocol ↓
High Yield Prometric TopicObstetrics & Gynecology

Tested on Gulf Medical Boards (DHA, SMLE, MOH & HAAD)

Clinical calculations and diagnostic scoring systems like VBAC / TOLAC Success Predictor (MFMU) frequently appear on Prometric exams. Master high-yield clinical vignettes with instant AI-powered pathophysiology rationales.

Clinical Significance & Diagnostic Standard
2026 Clinical Reference

What is the VBAC / TOLAC Success Predictor (MFMU)?

📋Clinical Summary & Definition Capsule

The VBAC / TOLAC Success Predictor (MFMU) is an evidence-based clinical decision rule engineered to quantify diagnostic probability, stratify clinical severity, and guide therapeutic decision-making in obstetrics & gynecology practice. The Maternal-Fetal Medicine Units (MFMU) Network model predicts the individualized likelihood of a successful trial of labor after cesarean (TOLAC) resulting in a vaginal delivery (VBAC), aiding shared obstetric decision-making. Clinical scoring tools like VBAC / TOLAC Success Predictor (MFMU) are essential in acute and outpatient management, enabling clinicians to objectively differentiate between low-risk candidates suitable for conservative therapy and high-risk patients requiring urgent interventions. Verified against current 2026 clinical standards, this tool is extensively tested on Gulf health authority licensing exams including DHA (Dubai), SMLE (Saudi Arabia), MOH, HAAD/DOH (Abu Dhabi), OMSB (Oman), and QCHP (Qatar).

💡Clinical Pearls & Diagnostic Utility

Aids patient-centered counseling regarding the risks and benefits of trial of labor after cesarean vs. planned elective repeat cesarean section.

Mathematical Formulation

Formula & Calculation Parameters

The mathematical equation and clinical variables required to calculate VBAC / TOLAC Success Predictor (MFMU):

Logit(P) = -0.742 - (0.037 × Age) - (0.038 × BMI) + Race Coefficient + (0.915 × Prior Vaginal) + (0.689 × Prior VBAC) - (0.611 × Recurring Arrest Indication)
Risk Stratification

Score Interpretation & Clinical Stratification

Score RangeClinical InterpretationRisk Tier
≤ 59.9Low / Guarded VBAC Likelihood (< 60%)orange
60 – 69.9Moderate VBAC Likelihood (60% - 69%)yellow
≥ 70Favorable VBAC Success Probability (≥ 70%)green
Clinical Limitations & Contraindications

When to Exercise Caution

Validated for individuals with one prior low transverse cesarean section; does not assess uterine rupture risk directly (baseline rupture risk ~0.5% - 0.9%).

Medical Review & Guidelines Compliance
MD

Clinical Review Board

Dr. Muhammad Nouman, MBBS

Capital Medical University | PMDC Reg No: 117744-P

Clinical Audit Status

✓ Verified for 2026 Guidelines

Last updated: 2026-08-07

Peer-Reviewed Medical Literature

  • Grobman WA, et al. Development of a nomogram for prediction of success of trial of labor by patients with a previous cesarean delivery. Am J Obstet Gynecol. 2007;197(5):499.e1-6.
  • ACOG Practice Bulletin No. 205: Vaginal Birth After Cesarean Delivery. Obstet Gynecol. 2019;133(2):e110-e127.