Differentiating the QRS Morphology of Posterior Fascicular Ventricular Tachycardia From Right Bundle Branch Block and Left Anterior Hemiblock Aberrancy

Authors, Journal, Affiliations, Type, DOI

Overview

The first systematic ECG characterisation of left posterior fascicular VT (LPF-VT) against its principal mimic — SVT with RBBB plus left anterior hemiblock (LAHB). Using 183 EP/ablation-confirmed LPF-VT ECGs versus 61 RBBB+LAHB sinus rhythm controls, multivariate logistic regression identified four independent ECG discriminators: atypical V1 morphology (OR 5.1), positive QRS in aVR (OR 19.2), V6 R/S ≤1 (OR 6.7), and QRS ≤140 ms (OR 7.7), yielding Sn 82.1%/Sp 78.3%. Critically, the paper confirms that all standard WCT algorithms (Brugada RS >100 ms, Vereckei Vi/Vt, Wellens >140 ms) fail for LPF-VT because Purkinje-mediated initial activation is fast — RS interval is <80 ms and Vi/Vt is typically >1, the reverse of structural VT. This paper fills the documented fascicular VT blind spot in all existing WCT algorithms.

Keywords

Bundle branch block, electrocardiography, logistic models, odds ratio, tachycardia ventricular, left posterior fascicular VT, RBBB, left anterior hemiblock, verapamil-sensitive VT

Key Takeaways

Background

Methods

ECG Findings — Univariate Comparisons (Table)

Parameter LPF-VT (n=183) RBBB+LAHB (n=61) P
QRS axis −90° (−70 to −100°) −60° (−50 to −70°) <0.001
QRS width 127.5±18.6 ms 144±15.4 ms <0.001
Precordial RS time 62 ms (54–72.5) 70 ms (52.5–80) 0.4 (NS)
V1 typical RBBB (R′>R) 54.2% 91.8% <0.001
V1 notched (RsR′, R≈R′) 24.4% 1.6% <0.001
V1 S below isoelectric 21.1% 72.1% <0.001
V1 q before rsR′ 35.1% 7.1% <0.001
V6 S depth > R height 88.3% 59% <0.001
V6 R/S ratio 0.36 (0.23–0.53) 0.85 (0.44–1.5) <0.001
aVR positive QRS 94.2% 50.8% <0.001
Lead I S > R height 33.5% 10% <0.001

The Four-Variable Prediction Model

Multivariate logistic regression identified four independent predictors (probability equation: P = 1 / [1 + e^−Z], where Z = −5.219 + contributions from each variable):

1. Atypical V1 morphology (OR 5.1; 95% CI 1.7–15.6; P=0.004; +1.636 to Z)

2. Positive QRS in aVR (OR 19.2; 95% CI 4.3–86.5; P<0.001; +2.958 to Z)

3. V6 R/S ratio ≤1 (OR 6.7; 95% CI 1.6–28.5; P=0.01; +1.901 to Z)

4. QRS ≤140 ms (OR 7.7; 95% CI 2.9–20.3; P<0.001; +2.040 to Z)

Model Performance and Application Rules

Overall performance (threshold probability >0.59):

Practical counting rule (Figure 2B):

Proposed clinical algorithm (Figure 5):

  1. AV dissociation or fusion/capture beats present → VT confirmed
  2. Structural heart disease present → apply standard WCT algorithms (Brugada, Vereckei, etc.)
  3. No structural disease, RBBB+LAHB-like morphology → apply 4-criterion model above

LPF-VT vs Posterior Papillary Muscle VT (PPM-VT) — Differential

Why Standard WCT Algorithm Criteria Fail for LPF-VT

Criterion Structural VT LPF-VT Consequence
RS interval >100 ms (Brugada Step 2) Present (slow myocardial activation) <80 ms (Purkinje exit) LPF-VT classified as SVT
Vi/Vt ≤1 (Vereckei Step 4) Present Vi/Vt >1 (fast initial) LPF-VT classified as SVT
Initial R in aVR (Vereckei Step 2) Present (initial slow superior force) Narrow q before R (qR) → negative LPF-VT not captured
QRS >140 ms (Wellens) Present in ~70% <140 ms in most Wrong direction for LPF-VT
Q >40 ms in aVR Present in structural VT q <40 ms (narrow, fast) Not applicable

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