Objectives: To develop a simple algorithm for localizing accessory pathways (APs) in the typical Wolff-Parkinson-White (WPW) syndrome using 12-lead electrocardiogram (ECG) and to test the accuracy of the newly built algorithm prospectively.
Trang 1DEVELOPMENT AND VALIDATION OF A NEW ALGORITHM IN LOCALIZING ACCESSORY PATHWAY IN TYPICAL
WOLFF-PARKINSON-WHITE SYNDROME
Chu Dung Si*; Pham Quoc Khanh**; Tran Van Dong**
SUMMARY
Objectives: To develop a simple algorithm for localizing accessory pathways (APs) in the typical Wolff-Parkinson-White (WPW) syndrome using 12-lead electrocardiogram (ECG) and to test the accuracy of the newly built algorithm prospectively Subjects and methods: 298 patients with typical WPW syndrome were enrolled The ECG parameters of 189 patients with a single anterograde AP that were confirmed by successful radio frequency (RF) catheter ablation were analysed to build a new ECG algorithm for localizing APs Then this algorithm was tested prospectively in other 109 patients comparing with the localization of APs by RF ablation Results: In 189 patients analyzed: the sensitivity and specificity of Delta wave polarity in V1 in predicting left or right APs were 98.3% and 92.2%, respectively; the sensitivity and specificity of QRS transition in predicting septal or lateral APs were 87.8% and 97.1%, respectively; the sensitivity and specificity of Delta wave polarity in inferior leads in predicting anterior or posterior APs were 100% and 88.7%, respectively The validation of the new algorithm based on the above ECG parameters in other 109 patients showed the sensitivity of 87.8% and the specificity
of 100% Conclusion: Delta wave polarity in V1 and inferior leads combined with QRS complex transition were used to develop a new ECG algorithm for localizing AP This new algorithm can
be used to localize accessory pathways with high accuracy
* Keywords: Wolff-Parkinson-White syndrome; Algorithm; 12-lead electrocardiogram
INTRODUCTION
Wolff-Parkinson-White (WPW) syndrome
associated with an accessory AV connection
(called Kent Bundle); the 12-lead ECG is
characterized by a shortened PR,
prolonged QRS, with Delta wave [1, 2]
Nowadays, radiofrequency catheter
ablation (RCFA) of accessory pathway
(AP) requires precise localization of the
AP along the mitral and tricuspid annulus
(gold standard) [2] 12-lead ECG is the
first step for localization of AP in patients
with WPW syndrome, still now The data
obtained from the ECG parameters can
be helpful in planning and shortening the
RCFA and x-ray procedure [2] Some algorithms based on ECG criteria have been published to predict locations of accessory pathways However, many studies were known to be difficult to ablate as compared to those in other locations, some ECG algorithms had difficult parameters in using or only for some locations Therefore, the purpose of
this study was to: Analyze the 12-lead
ECG of accessory pathway localization’s successful RCFA to develop new ECG algorithm using simple parameters and test this algorithm to predict accessory pathway location
* School of Medicine and Pharmacy, Vietnam National University, Hanoi
** Vietnam Heart Institute, Bachmai Hospital
Corresponding author: Chu Dung Si (chudungsi@gmail.com)
Date received: 25/06/2017 Date accepted: 11/08/2017
Trang 2SUBJECTS AND METHODS
1 Subjects
298 patients from Jannuary, 2001 to
May, 2017 at Vietnam Heart Institute,
Bachmai Hospital
2 Methods
Observational, cross-sectional, retrospective
and prospective study
189 patients with typical WPW syndrome
who had a single anterograde AP
identified by successful radio frequency
catheter ablation were enrolled to build a
new ECG algorithm for localizing APs
using simple parameters from January,
2001 to June, 2016
Then this algorithm was tested prospectively in 109 patients and compared with the location of accessory pathway’s successful ablation by RF from June, 2016 to May, 2017
WPW syndrome which was defined as the 12-lead ECG was characterized by a shortened PR interval < 120 milliseconds, prolonged QRS duration ≥ 110 milliseconds with a Delta wave Secondary ST and T wave changes which are directed opposite to the major Delta wave and QRS vector [1] Localization of accessory pathways was identified by successfully ablated by RCFA (gold standard) [2]
* Statistical analysis: Using IBM SPSS
21.0 software for analyzing data
RESULTS
The study population consists of 298 patients, 155 males (52%) and 143 females (48%), with mean age of 43.0 ± 14.7 years (from 18 to 80 years of age)
1 Characteristics of 12-lead ECG for localization of accessory pathways
The study population consists of 189 patients (group I), 99 males (52.4%) and 90 females (47.6%) with mean age of 42.7 ± 14.6 years
Figure 1: Results of normal annulus position of location (group I)
(LA: Left anterolateral; LL: Left lateral; LP: Left posterolateral; LPS: Left posterolateral; RPS: Right posterlateral; RP: Right posterolatearal; RL: Right lateral; RA: Right anterolateral; RAS: Right Anteroseptal; RMS: Right midseptal)
17 (9.0%)
55 (29.1%)
12 (6.3%)
25
(13.2%)
29
21(11.1%)
9 (4.8%)
10 (5.3%)
6 (3.2%)
5 (2.6%)
RL
Trang 3Among 189 accessory pathways, left
sided accessory pathway was found in 109
patients (57.7%) and right sided accessory
pathways in 80 patients (42.3%) We
found that 65 patients (34.4%) had septal
accessory pathways, 84 patients (44.4%)
had left free wall sites and 40 patients
(21.2%) had right free wall sites
* Characteristics of Delta wave polarity
in V1 lead with left or right side accessory
pathways:
Left side group had positive Delta
wave that was most common at V1 lead
was found in 106/109 patients (97.2%)
and right side group had negative Delta
wave that was most common at V1 lead
was found in 67/80 patients (83.8%)
* Transition characteristics of the QRS
complex on 12-lead ECG with location:
Classified transition of septal location
was most common at V1, V2 lead
(between V2 and V3) found in 58/65
patients contributing 89.2% among total
number of septal AP While classified
transition of lateral free wall location was
most common at after V1, V2 (V3 -
V6)/before V1 found in 108/124 patients
contributing 87.1% among total number of
lateral location
* Characteristics of Delta wave polarity
in at least 2/3 inferior lead with anterior or
posterior group:
Anterior group had Delta wave (+) that was most common at least 2/3 inferior lead, was found in 31/31 patients (100%) and posterior group had Delta wave (-) that was most common at least 2/3 inferior lead found in 81/87 patients (93.1%)
2 Accuracy of new ECG algorithm for localizing accessory pathways
The study population consists of 109 patients (group II), 56 males (51.4%) and
53 females (48.6%) with mean age of 43.6 ± 14.9 years
Among 109 patients, accessory pathways was most common location as left sided accessory pathways was found
in 57 patients (52.3%) and right sided accessory pathways had 52 patients (47.7%) Right side free wall was
23 patients (21.1%): 9 patients (8.3%) had anterolateral, 5 patients (4.6%) had right lateral and 9 patients (8.3%) had right posterolateral Left side free wall was
45 patients (41.3%): 12 patients had anterolateral, 25 patients (24.0%) had left lateral and 8 patients (7.3%) had left posterolateral Septal accessory pathways was found in 41 patients (37.6%): 23 patients (21.1%) had right posteroseptal, 13 patients (11.9%) had left posteroseptal, 4 patients (3.7%) had midseptal, 1 patients (0.9%) had anteroseptal
* Localization of left or right side accessory pathways by Delta wave polarity in V1 lead:
Table 1: Delta wave positive/negative in V1 with left/right accessory pathways
Location
Trang 4Accuracy of the algorithm for localizing APs in left side or right side pathway by Delta wave positive or negative at V1 was very significantly high, giving a sensitivity of 98.3%, specificity of 92.2%, PPV of 93.4% and NPV of 97.9%
* Localization of septal of free wall accessory pathways group by transition characteristics of the QRS complex on 12-lead ECG:
Table 2: Transition characteristics of the QRS complex with septal or lateral locations
Location of AP Position of transition zone
Septal pathway
Free wall pathway
Total
Accuracy of the algorithm for localizing APs in septal or lateral sites pathway by transition characteristics of the QRS complex at V1, V2 or after V1, V2 was very significantly high, giving a sensitivity of 87.8%, specificity of 97.1%, PPV of 94.7% and NPV of 93%
* Localization of anterior or posterior accessory pathways group by the Delta wave polarity in at least 2/3 inferior lead on 12-lead ECG:
Table 3: Delta wave polarity in at least 2/3 inferior lead (DII, DIII, aVF)
Location Delta wave polarity in inferior lead
Anterior pathway
Posterior pathway
Total
Accuracy of the algorithm for localizing APs in anterior or posterior sites by positive
or negative Delta wave at V1 was very significantly higher, giving a sensitivity of 100%, specificity of 88.7%, PPV of 78.6% and NPV of 100%
Overall, accuracy of new ECG algorithm for localizing accessory pathways sites were high accuracy
Table 4: Sensitivity, specificity, PPV and NPV value of the proposed algorithm for
accessory pathway site in 109 patients
Trang 5DISCUSSION
1 Characteristics of Delta wave
polarity in V1 lead with left or right
septal
Characteristics of electrocardiogram in
a patient with left side pathway had
strongly positive Delta waves at V1 lead
are noted (97.2%) while right side pathway
had strongly negative Delta waves at V1
leasd are noted (83.8%)
This is very useful in selecting the
approach of the catheter which is the vein
or artery All right-sided AP were ablated
with the use of transvenous atrial approach
through the femoral vein while left-side
AP were ablated with retrograde arterial
approach If this approach failed, the
pathway was ablated by using antegrade
transeptal approach [2]
Some ECG algorithms have been
published to predict locations of left-sided
or right-sided accessory pathway by
positive of negative Delta wave [1, 2]
Besides, some other studies showed that
diagnosis of left or right-side accessory
pathway by other ECG parameters such
as Noriko was used with R/S ratio < 0.5 or
R/S > 0.5 in V1 lead that can be predicted
right or left-side AP [3] and D’ Avila was
used to positive or negative QRS complex
in V1 that can be diagnosed left or
right-side AP [4]
2 Transition characteristics of the
QRS complex on 12-lead ECG with
septal or lateral location
Characteristics of electrocardiogram in
a patient with septal location pathway was
most common at V1, V2 lead are noted
(89.2%) While lateral free wall location pathway was most common at after that are noted (87.1%)
Some algorithms based on ECG not-yet finding different between anteroseptal with right anterolateral APs, difficult in posteroseptal with posterolateral (left or right) However, many studies showed that transition of QRS complex can be used to predict locations of septal or free wall accessory pathway [1, 5, 6]
3 Characteristics of Delta wave polarity in at least 2/3 inferior lead (DII, DIII, aVF) with anterior or posterior
AP group
Characteristics of electrocardiogram in
a patient with anterior group pathway had strongly positive Delta waves in at least 2/3 inferior that are noted (100%) While posterior group pathway had strongly negative Delta waves in at least 2/3 inferior leads (II, III, aVF) are noted (93.1%) Some ECG algorithms have been published to predict locations of anterior
or posterior accessory pathway by positive or negative Delta wave in inferior
as below [1, 6, 7] However, some studies only focused on some positions in anterior and posterior accessory [7]
4 Accuracy of new ECG algorithm for localizing accessory pathways
We developed a new algorithm using some simple ECG parameters as left side
or right side pathways by positive/ negative Delta wave at V1 lead, anterior
or posterior sites accessory pathways by
Trang 6positive/negative Delta waves in at least
2/3 inferior, septal or lateral sites
accessory pathways by transition QRS
complex at V1, V2 or after V1, V2 lead
Then this algorithm was tested
prospectively in 109 patients comparing
with the location of accessory pathway’s
successful ablation by RF Calculation for
sensitivity, specificity, PPV and NPV of the
diagnosed algorithm for accessory pathway
sites were high accuracy (table 3, 4)
For the left side or right side pathways
by positive/negative Delta wave at V1
lead; Chern-En Chang (1995) showed
that Se of 94.4% and Sp of 87.5% [8];
Thosmas Rostock proposed to left side of
right side pathways by R/S ratio on V1,
aVR, aVL with Se of 95%, Sp of 100%
and PPV of 98% [9] Septal or lateral
accessory pathways by transition QRS
complex at V1, V2 or after V1, V2 lead
The result of Muhammad’s study (2008)
was: Se of 97% and Sp of 95% [10] For
the anterior or posterior accessory
pathways by positive/negative Delta
waves in inferior, Muhammad showed
that Se and Sp from 85 - 100% [10]
CONCLUSION
We have developed a new algorithm in
localizing accessory pathway and
validated it We found that the left side
had Delta wave positive was most
common at V1 lead (97.2%) and right side
had Delta wave negative that was most
common at V1 lead (83.8%) Classified
transition of septal location was most
common at V1, V2 lead (89.2%) while
classified transition of lateral free wall
location was most common at after V1 V2(V3 - V6)/before V1 (87.1%) Anterior group with positive Delta wave was most common at least 2/3 inferior lead (100%) and posterior group with negative Delta wave was most common at least 2/3 inferior lead (93.1%)
The new algorithm was proved to be
high accuracy as sensitivity (from 87.8%
to 100%), specificity (88.7 to 97.1%), positive predictive value (78.6% to 94.7%) and negative predictive value (93% to 100%) and could facilitate radiofrequency ablation in patients with left side or right sided AP
REFERENCES
1 Borys Surawicz et al Chou’s
electrocardiography in clinical practice: adult and pediatric Elservier Saunders 2008
2 Basiouny Tarex et al Prospective
validation of A sezer ECG algorithm for localization of accrssory pathways in patients with Wolff-Parkinson-White syndrome AAMJ
2012, 10, Suppl-2
3 Noriko Taguchi, Yasuya Inden et al A
simple algorithm for localizing accessory pathways in patients with Wolff-Parkinson-White syndrome using only the R/S ratio Journal of Arrhythmia 2013
4 Andre D’avila, Vassilis Skeberis et al A
fast and reliable algorithm to localize accessory pathways based on the polarity of the QRS complex on the surface ECG during sinus rhythm Pace 1995, 18
5 Fananapazir L, Gallagher J.J, Lowe J.E, Prystowsky E.N Importance of preexcited
QRS morphology during induced atrial fibrillation to the diagnosis and localization of multiple accessory pathways Circulation
1990, 81, pp.578-85
Trang 76 Robert Lermery, Douglas L Wood et al
Value of the resting 12 lead electrocardiogram
and vectorcardiogram for locating the
accessory pathway in patients with the Wolff
-Parkinson - White Bristish Heart Journal
1987, 58, pp.324-332
7 Belhassen B, Blieden I et al Intrauterine
and postnatal atrial fibrillation in the
Wolff-Parkinson-White syndrome Circulation 1982,
66, pp.1124-1128
8 Chern-En Chiang, Wee Siong Teo et al
An accurate stepwise electroardiographic
algorithm for localization of accessory
pathways in patients with
Wolff-Parkinson-white syndrome from a comprehensive
analysis of Delta waves and R/S ratio during sinus rhythm The American Journal of Cardiology 1995, 76, pp.40-46
9 Thomas Rostock, Daniel Steven et al A
new algorithm for concealed accessory pathway localization using T-wave-subtracted retrograde P-wave polarity during orthodromic atrioventricular reentrant tachycardia J Interv Card Electrophysiol 2008, 22, pp.55-63
10 Muhammad Ashraf Dar, Abdul rehman abid et al Localization of accessory pathways
according to AP Fitzpatrick ECG criteria in patients with Wolff-Parkinson-white syndrome
in our population Pakistan Heart Journal
2008, 41, pp.3-4