Obstetrics• Intermediate

VBAC / TOLAC Success Predictor (MFMU)

Predicts probability of successful vaginal birth after cesarean section.

Clinical Parameters

6 Variables

Awaiting Clinical Parameters

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

Verified 2026 Guidelines•Instant Calculation
Jump to Formula & Clinical Protocol ↓
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High Yield Prometric Topic•Obstetrics & 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%).

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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.
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Prometric Licensure Curriculum

Gulf Medical Licensing & Prometric Exam Preparation Network

Clinical calculations like VBAC / TOLAC Success Predictor (MFMU) are essential knowledge across Gulf health licensing authorities. Review official exam blueprints, verify pass marks (SMLE: 70%), and access free practice test engines: