Wolf–Parkinson–White Syndrome: Diagnosis, Risk Assessment, and Therapy—An Update
Abstract
:1. Introduction
2. Definitions and Epidemiology
3. Pathophysiology
4. Diagnosis
ECG Algorithms | Statistiical Analysis | PRO | CONS | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adult Analysis | Pediatric Analysis | ||||||||||||
No Patients | Mean Age | CA | Specificity | Sensitivity | PPV | NPV | Accuracy | No Patients | Mean Age | Accuracy | |||
Boersma (2002) [53] | NA | 173 | 13 y | 0.63 | uses the surface ECG | modest accuracy | |||||||
designed for children | reasonable sensitivity and specificity for only five AP-sites | ||||||||||||
LI (2019) [54] | NA | 104 | 13.6 ± 3.4 y | 0.92 | uses the surface ECG | only retrospective analysis | |||||||
easy to use | could not absolutely differentiate septal wall from free wall AP | ||||||||||||
high-risk regions can be identified with high accuracy | |||||||||||||
Min Baek (2020) [55] | NA | 262.00 | 11.7 y | 0.82 | superior to other algorithms | less accuracy in younger patients | |||||||
easy to use—2 steps | focused on septal pathways | ||||||||||||
uses the surface ECG | requires validation in adult patients | ||||||||||||
Milstein (1987) [56] | 141 | 34 ± 21 y | LL | 0.94 | 0.88 | 0.94 | NA | 0.90 | NA | uses the surface ECG | based only on four locations of AP | ||
PS | 0.95 | 0.91 | 0.90 | NA | simple to apply | no data about pediatric population | |||||||
AS | 0.99 | 0.90 | 0.97 | NA | only retrospective analysis | ||||||||
RL | 0.98 | 0.75 | 0.62 | NA | |||||||||
Fitzpatrick (1994) [57] | 141 | 34 ± 21 y | L | 1.00 | 1.00 | 1.00 | 1.00 | 0.68 | NA | uses the surface ECG | no data about pediatric population | ||
R | 0.97 | 1.10 | 0.98 | 1.00 | |||||||||
St George (1994) [40] | 369 | 48 ± 10 y | all | NA | NA | NA | NA | 0.93 | NA | uses the surface ECG | no data about pediatric population | ||
prospective validation | limited data on multiple APs | ||||||||||||
easy to use—requires only 4 steps | lower accuracy in predicting right sided APs | ||||||||||||
Chiang (1995) [58] | 369 | 48 ± 10 y | all | NA | NA | NA | NA | 0.93 | NA | uses the surface ECG | no data about pediatric population | ||
prospective validation | limited data on multiple APs | ||||||||||||
easy to use—requires only 4 steps | lower accuracy in predicting right sided APs | ||||||||||||
d’Avila (1995) [59] | 140 | NA | LL | 0.99 | 0.98 | 1.00 | NA | 0.57 | 64 | 15 y | 0.58 | uses the surface ECG | only retrospective analysis |
LP | 0.98 | 1.00 | 0.77 | high accuracy in pediatric population | limited data on multiple APs | ||||||||
LPS | 0.99 | 0.82 | 0.90 | can be used in computerized systems | |||||||||
PS | 0.97 | 0.87 | 0.82 | ||||||||||
RPS | 0.95 | 0.93 | 0.70 | ||||||||||
RL | 0.98 | 1.00 | 0.85 | ||||||||||
AS | 1.00 | 0.92 | 1.00 | ||||||||||
MD | 1.00 | 0.50 | 0.10 | ||||||||||
Iturralde (1996) [60] | 102 | 32 ± 12 y | LPL | 0.95 | 0.91 | 0.93 | 0.92 | 0.88 | NA | uses the surface ECG | no data about pediatric population | ||
RI | 1.00 | 0.84 | 1.00 | 0.95 | fast to use | limited data on multiple APs | |||||||
LI | 0.98 | 0.84 | 0.67 | 0.96 | accurate | ||||||||
RA | 0.97 | 1.00 | 0.67 | 1.00 | |||||||||
RAS | 0.96 | 0.83 | 0.55 | 0.99 | |||||||||
Arruda (1998) [43] | 256 | 32 y | all | 0.99 | 0.90 | 0.93 | 0.98 | 0.80 | NA | uses the surface ECG | no data about pediatric population | ||
accurate in predicting ablation at sites near the AV node and His bundle | time consuming | ||||||||||||
uses the initial forces of preexcitation (initial 20 msec) | limited data on multiple APs | ||||||||||||
may aid selection of patients in whom coronary sinus angiography should be performed | |||||||||||||
Taguchi (2014) [61] | 144 | NA | all | 0.99 | 0.93 | 0.95 | 0.98 | NA | NA | simple flowchart | no data about pediatric population | ||
prospective validation | small prospective assessment | ||||||||||||
uses the surface ECG | |||||||||||||
Pambrun (2018) [42] | 207 | NA | RA | 0.99 | 0.91 | 0.88 | 0.99 | 0.9 | NA | accurate and reproductible | time consuming | ||
RL | 1.00 | 1.00 | 0.85 | 1.00 | uses maximal preexcitation | requires EPS | |||||||
RP | 0.99 | 0.96 | 0.87 | 0.99 | no data about pediatric population | ||||||||
PCS | 0.99 | 0.83 | 0.97 | 0.97 | |||||||||
NHS | 0.98 | 0.78 | 0.76 | 0.99 | |||||||||
DCS | 0.99 | 0.67 | 0.71 | 0.99 | |||||||||
LPS | 0.97 | 0.74 | 0.77 | 0.97 | |||||||||
LPL | 0.98 | 0.92 | 0.86 | 0.99 | |||||||||
LL | 0.99 | 1.00 | 0.98 | 1.00 | |||||||||
Easy-WPW (2023) [44] | 211 | 32 ± 19 y | all | 0.99 | 0.92 | 0.96 | 0.99 | 0.93 | 58 | 12 ± 4 y | 0.88 | reliable | limited data on multiple APs |
uses the surface ECG | |||||||||||||
fast and easy to apply—only 2 or 3 steps | |||||||||||||
analysis on pediatric population |
5. Risk Stratification
5.1. Clinical Evaluation
5.2. Noninvasive Assessment
5.3. Invasive Assessment
6. Sudden Cardiac Death
7. Management
7.1. Asymptomatic Patients
7.2. Symptomatic Patients
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Category | Condition | Percent (%) |
---|---|---|
Congenital heart diseases | tricuspid atresia | 0.29–1.3% |
Ebstein anomaly | 5–25% | |
tetralogy of Fallot | ||
pulmonary stenosis | ||
coronary abnormalities | ||
coronary sinus diverticula | 3.6–20% | |
corrected transposition of the great vessels | 2–5% | |
atrial/ventricular septal defects | ||
hypertrophic cardiomyopathy | 5% | |
mitral valve prolapse | ||
fibroelastosis | ||
Multisystem diseases | PRKAG2 syndrome hypokalemic periodic paralysis | |
Pompe disease | ||
Danon disease | <1% | |
tuberous sclerosis complex; cardiac rhabdomyoma | ||
Surgically acquired | Corrective surgeries; e.g., Fontan procedure | |
Heart transplantation | ||
Valve surgeries | ||
Intra-atrial baffles |
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Vătășescu, R.G.; Paja, C.S.; Șuș, I.; Cainap, S.; Moisa, Ș.M.; Cinteză, E.E. Wolf–Parkinson–White Syndrome: Diagnosis, Risk Assessment, and Therapy—An Update. Diagnostics 2024, 14, 296. https://doi.org/10.3390/diagnostics14030296
Vătășescu RG, Paja CS, Șuș I, Cainap S, Moisa ȘM, Cinteză EE. Wolf–Parkinson–White Syndrome: Diagnosis, Risk Assessment, and Therapy—An Update. Diagnostics. 2024; 14(3):296. https://doi.org/10.3390/diagnostics14030296
Chicago/Turabian StyleVătășescu, Radu Gabriel, Cosmina Steliana Paja, Ioana Șuș, Simona Cainap, Ștefana María Moisa, and Eliza Elena Cinteză. 2024. "Wolf–Parkinson–White Syndrome: Diagnosis, Risk Assessment, and Therapy—An Update" Diagnostics 14, no. 3: 296. https://doi.org/10.3390/diagnostics14030296
APA StyleVătășescu, R. G., Paja, C. S., Șuș, I., Cainap, S., Moisa, Ș. M., & Cinteză, E. E. (2024). Wolf–Parkinson–White Syndrome: Diagnosis, Risk Assessment, and Therapy—An Update. Diagnostics, 14(3), 296. https://doi.org/10.3390/diagnostics14030296