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Diagnostic performance of the fragmented QRS complex on electrocardiogram for detecting myocardial scars assessed by 3.0 Tesla cardiac magnetic resonance imaging

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ABSTRACT Background Fragmented QRS complex (f-QRS) on a 12-lead electrocardiogram (EKG) with a 0.15-100 or 150 Hz low-pass filter is known to be related to ischemic myocardial scars. Cardiac magnetic resonance (CMR) imaging enhances tissue characterization capability resulting in a better myocardial scar assessment over other noninvasive imaging modalities. However, the diagnostic values of f-QRS on non-ischemic scars and f-QRS from EKG with a 015-40 Hz low-pass filter (routine filter in clinical practice) are unknown. This study aims to evaluate the diagnostic performance of f-QRS (from EKG with 0.15-40 and 0.15-100 Hz low-pass filters) for detecting any myocardial scars (both ischemic and non- ischemic) assessed by 3.0 Tesla CMR. Methods This cross-sectional study included patients who underwent a 3.0 Tesla CMR scan from May 2020 to May 2023. A 12-lead EKG with 0.15-40 and 0.15-100 Hz low-pass filters, performed on the same day of the CMR scan, was assessed for the presence of f-QRS. The ECG leads were divided into 3 categories (e.g., anterior leads V1-V4; lateral leads I, aVL, V5-V6; and inferior leads II, III, aVF). The f-QRS was defined as the presence of R’ wave or notching in the nadir of the S wave in 2 contiguous leads. The primary outcome was the diagnostic performance of f-QRS from EKG in myocardial scar detection in the corresponding left ventricle (LV) segments. The secondary outcomes were to compare the diagnostic performance of f-QRS in detecting ischemic scars and non-ischemic scars, the diagnostic performance between f-QRS diagnosed from 0.15-40 and 0.15-100 Hz low-pass filters, and the diagnostic performance of f-QRS presented in 2 consecutive leads and f-QRS presented in solitary lead. Results The study involved 1,692 participants with a median age of 67 (IQR: 59-85) years old and 52.5% males. Myocardial scars were found in 826 (49%) participants. Male, history of CAD, and myocardial scars were significantly more frequent in the participants with f- QRS (59.4% vs 46.0%, 26.4% vs 20.6%, and 48.9% vs 37.3%, respectively), while median LVEF was lower (61%, IQR 47, 66 vs 62%, IQR 55, 68; p < 0.001). The sensitivity, specificity, positive predictive value, negative predictive value, and AUC of f-QRS from EKG with 0.15-100 Hz low-pass filter for detecting myocardial scars were 25.6%, 88.7%, 45.1%, 76.8%, and 0.57 for anterior segments; 22.1%, 91.5%, 36.8%, 84.1%, and 0.57 for lateral segments; and 42.9%, 63.4%, 36.9, 68.9%, and 0.53 for inferior segments. The sensitivity, PPV, and positive likelihood ratio (LR+) of f-QRS were higher for detecting non- ischemic scars while specificity, NPV, negative likelihood ratio (LR-), and AUC were not significantly different. The f-QRS from 0.15-100 Hz showed a higher sensitivity but lower specificity, PPV, and LR+ for all LV segments. The f-QRS presented in the solitary lead showed a higher sensitivity with a lower specificity, PPV, and LR+. Conclusion This study demonstrates a high specificity and negative predictive value of f- QRS from a 12-lead EKG with 0.15-40 and 0.15-100 Hz low-pass filters in diagnosing myocardial scars when correlated to the corresponding LV segments. Graphical Abstract
Title: Diagnostic performance of the fragmented QRS complex on electrocardiogram for detecting myocardial scars assessed by 3.0 Tesla cardiac magnetic resonance imaging
Description:
ABSTRACT Background Fragmented QRS complex (f-QRS) on a 12-lead electrocardiogram (EKG) with a 0.
15-100 or 150 Hz low-pass filter is known to be related to ischemic myocardial scars.
Cardiac magnetic resonance (CMR) imaging enhances tissue characterization capability resulting in a better myocardial scar assessment over other noninvasive imaging modalities.
However, the diagnostic values of f-QRS on non-ischemic scars and f-QRS from EKG with a 015-40 Hz low-pass filter (routine filter in clinical practice) are unknown.
This study aims to evaluate the diagnostic performance of f-QRS (from EKG with 0.
15-40 and 0.
15-100 Hz low-pass filters) for detecting any myocardial scars (both ischemic and non- ischemic) assessed by 3.
0 Tesla CMR.
Methods This cross-sectional study included patients who underwent a 3.
0 Tesla CMR scan from May 2020 to May 2023.
A 12-lead EKG with 0.
15-40 and 0.
15-100 Hz low-pass filters, performed on the same day of the CMR scan, was assessed for the presence of f-QRS.
The ECG leads were divided into 3 categories (e.
g.
, anterior leads V1-V4; lateral leads I, aVL, V5-V6; and inferior leads II, III, aVF).
The f-QRS was defined as the presence of R’ wave or notching in the nadir of the S wave in 2 contiguous leads.
The primary outcome was the diagnostic performance of f-QRS from EKG in myocardial scar detection in the corresponding left ventricle (LV) segments.
The secondary outcomes were to compare the diagnostic performance of f-QRS in detecting ischemic scars and non-ischemic scars, the diagnostic performance between f-QRS diagnosed from 0.
15-40 and 0.
15-100 Hz low-pass filters, and the diagnostic performance of f-QRS presented in 2 consecutive leads and f-QRS presented in solitary lead.
Results The study involved 1,692 participants with a median age of 67 (IQR: 59-85) years old and 52.
5% males.
Myocardial scars were found in 826 (49%) participants.
Male, history of CAD, and myocardial scars were significantly more frequent in the participants with f- QRS (59.
4% vs 46.
0%, 26.
4% vs 20.
6%, and 48.
9% vs 37.
3%, respectively), while median LVEF was lower (61%, IQR 47, 66 vs 62%, IQR 55, 68; p < 0.
001).
The sensitivity, specificity, positive predictive value, negative predictive value, and AUC of f-QRS from EKG with 0.
15-100 Hz low-pass filter for detecting myocardial scars were 25.
6%, 88.
7%, 45.
1%, 76.
8%, and 0.
57 for anterior segments; 22.
1%, 91.
5%, 36.
8%, 84.
1%, and 0.
57 for lateral segments; and 42.
9%, 63.
4%, 36.
9, 68.
9%, and 0.
53 for inferior segments.
The sensitivity, PPV, and positive likelihood ratio (LR+) of f-QRS were higher for detecting non- ischemic scars while specificity, NPV, negative likelihood ratio (LR-), and AUC were not significantly different.
The f-QRS from 0.
15-100 Hz showed a higher sensitivity but lower specificity, PPV, and LR+ for all LV segments.
The f-QRS presented in the solitary lead showed a higher sensitivity with a lower specificity, PPV, and LR+.
Conclusion This study demonstrates a high specificity and negative predictive value of f- QRS from a 12-lead EKG with 0.
15-40 and 0.
15-100 Hz low-pass filters in diagnosing myocardial scars when correlated to the corresponding LV segments.
Graphical Abstract.

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