Fragmented QRS complex as a marker of myocardial fibrosis in patients with coronary artery disease

Cover Page


Cite item

Abstract

Aim – to analyze the relationship between fQRS and myocardial fibrosis in CAD patients using SPECT.

Material and methods. Retrospectively, we have analyzed the anamnesis and examinations of 116 patients with suspected coronary heart disease. The fQRS was assessed according to the criteria of Das M. et al., 2006, along with the presence of a pathological Q wave and a slow increase in the amplitude of the R wave. We analysed the transient myocardial ischemia and/or myocardial scarring using stress/rest SPECT with technetium-99m.

Results. fQRS was significantly more frequently detected in patients with stable and partially reversible perfusion defects – 44.1% and 52.2%, respectively, versus 13.0% and 5.5% in patients without perfusion defects or with reversible perfusion defects, p < 0.05. Among 28 patients with QRS fragmentation and myocardial fibrosis, 19 (67.8%) had classical signs of fibrosis on the ECG, 9 (32.1%) had no ECG-registered fibrosis but fQRS was detected. The sensitivity of fQRS marker in detecting myocardial fibrosis reached 84.4%, the specificity was 63.3%.

Conclusion. fQRS complex is an informative marker for detecting myocardial scarring in patients with coronary artery disease. Analysis of fQRS in daily clinical practice may increase the diagnostic value of electrocardiography in the detection of fibrosis.

Full Text

BACKGROUND

Coronary artery disease (CAD) is one of the most common diseases of the cardiovascular system and ranks first among the causes of sudden cardiac death (SCD), whereas the mechanism of SCD is most often caused by ventricular arrhythmias (VAs) [1]. Myocardial fibrosis is critical to VA genesis against CAD [2, 3].

In chronic CAD, short episodes of ischemia lead to interstitial and perimuscular fibrosis, which activate profibrotic processes in the myocardium. Against the progression of ischemia, aggravated by the development of fibrosis, interstitial and perimuscular fibrosis can subsequently transform into focal fibrosis [4, 5, 6, 7].

Replacement and reactive fibrosis are typical of myocardial infarction (MI). In replacement fibrosis, a fibrous scar is formed in place of cardiomyocytes that have died because of ischemia [8, 9]. Reactive fibrosis after MI develops under the influence of mechanical and humoral factors in the peri-infarction zone and even in areas of intact myocardium away from the infarction [10, 11].

The relationship between fibrosis and arrhythmias has been studied in several experimental studies. The inducibility of Vas is nearly linearly related to the degree of fibrosis [12]. With myocardial fibrosis, conditions are created both for the development of VA by the reentry mechanism and for arrhythmogenesis with abnormal automaticity or trigger activity due to early and late postdepolarization [13, 14, 15].

Thus, identifying myocardial fibrosis in the early stages can have a significant effect on further management and treatment. Cardiac imaging techniques such as magnetic resonance imaging and single-photon emission computed tomography (SPECT) have the highest sensitivity and specificity in detecting fibrotic, including cicatricial, changes in the myocardium [16, 17, 18, 19]. However, these diagnostic procedures are not widely available; therefore, the search for markers of myocardial fibrosis using screening technologies, such as electrocardiography (ECG), remains relevant.

ECG is currently the most common method for examining patients with cardiac problems and is often performed at the first visit to a doctor. Traditional ECG signs of myocardial fibrosis, namely, a slow increase in the R wave amplitude or a pathological Q wave, do not contain sufficient information. Thus, the sensitivity and specificity of the latter in detecting postinfarction myocardial scars are 48.8%–66% and 75%–85%, respectively [20, 21, 22]. Konno et al. [23] showed that in patients with hypertrophic cardiomyopathy, the sensitivity, specificity, and accuracy of the pathological Q wave in detecting fibrosis were 7%, 97%, and 60%, respectively. Numerous studies have assessed the diagnostic accuracy of ECG criteria such as a slow increase in the R wave amplitude as a marker of structural changes in the myocardium. According to some data, this ECG sign has high sensitivity and specificity in diagnosing MI (85%–87.2% and 60.9%–75%, respectively) [24, 25]. However, in a population study that included 20,739 people, the positive predictive result for identifying patients with pathology of the cardiovascular system was only 7.3% [26].

Thus, new electrocardiographic markers of cicatricial changes in the myocardium are needed. One of the possible ECG signs of myocardial fibrosis is QRS complex fragmentation (fQRS). This ECG phenomenon was described in 2006 by Das et al. [27]. This indicates an impairment of the processes of myocardial depolarization against structural changes (scar and fibrosis) and ischemia. Studies have compared ECG data and cardiac imaging methods for identifying myocardial fibrosis (Table 1).

 

Table 1. Comparison of ECG data (fQRS, Q wave) and cardioimaging methods of examination in the detection of myocardial fibrosis

Таблица 1. Работы по сопоставлению данных ЭКГ (fQRS, зубца Q) и кардиовизуализирующих методов обследования в выявлении фиброза миокарда

Authors

Year

Number of patients

Pathology

Results

M. Das et al.

2006

2008

479

879

CAD

fQRS is a more sensitive method for identifying cicatricial tissue compared with the Q wave [27, 28].

D. Wang et al.

2010

2014

460

248

CAD

No advantage in the presence of fQRS was noted compared with the Q wave for detecting myocardial fibrosis [29, 30].

L. Lorgis et al.

2014

209

AMI

fQRS is associated with the MI zone size, impaired myocardial perfusion, and a decrease in LV ejection fraction [31].

T. Tancharoen et al.

2013

250

CAD and non-CAD

fQRS is an independent predictor of cicatricial changes in the myocardium [32].

M. Ahn et al.

2013

86

DCMP of nonischemic origin

No relationship was revealed between fQRS and structural changes in the myocardium according to MRI data [33].

R. Sadeghi et al.

2015

2560

Meta-analysis of studies in patients with CAD/MI

fQRS has higher sensitivity and lower specificity than the Q wave [34].

S. Ozdemir et al.

2013

261

CAD

fQRS has high sensitivity and specificity as a marker for detecting ischemia and MI [35].

 

The results obtained were contradictory; therefore, we cannot draw definite conclusions about the reliability of using fQRS in clinical practice; however, studies have indicated the high sensitivity of this marker.

In addition, some studies have shown the risk-stratification significance of this ECG sign. Thus, in patients with CAD, fQRS was a predictor of the development of ventricular tachyarrhythmias and SCD [36, 37, 38, 39].

AIM

This study aimed to analyze the relationship between fQRS and the presence of cicatricial changes in the myocardium, identified using cardiac imaging techniques (perfusion SPECT) in patients with CAD.

MATERIAL AND METHODS

We retrospectively analyzed the medical history and examination data of 116 patients with suspected CAD who were examined at the VA Almazov National Medical Research Center. Their anamnesis and results of echocardiography (ECHO-CG) and coronary angiography (if available) were analyzed.

fQRS was assessed according to the criteria of Das et al. (2006) in narrow and wide complexes, according to which fQRS should be considered in the presence of an additional wave or notch on the R or S wave in at least two adjacent leads (corresponding to one zone of blood supply) for narrow complexes and in the presence of a distance between two notches of >40 ms or more than two additional waves or notches for wide complexes (>120 ms). When performing an ECG, fQRS was assessed in 12 conventional leads with standard settings (12-channel ECG recording, high-pass filter 0.05–20 Hz, low-pass filter 100–150 Hz, paper speed 25–50 mm/s, and voltage 10 mm/mV). We also assessed other ECG parameters that may indicate myocardial fibrosis, namely, the pathological Q wave and slow increase in the R wave amplitude.

The presence of transient myocardial ischemia and/or cicatricial changes in the myocardium was studied using perfusion SPECT with 99m Tc-technetril during an exercise tolerance test or a pharmacological test and at rest, performed at the Research Laboratory of Nuclear Medicine of the VA Almazov National Medical Research Center of the Russian Ministry of Health. The distribution of radiopharmaceutical agents in the myocardium, indices of myocardial perfusion impairment at rest and during physical activity, general perfusion deficit, area, and reversibility of perfusion defects were assessed.

The severity of perfusion defects was assessed on a five-point scale, where 0 is normal; 1, questionable hypoperfusion; 2, moderate hypoperfusion; 3–4, severe hypoperfusion; and 5, aperfusion. In accordance with this system, the state of perfusion in each segment is assessed at rest and during an exercise tolerance test. The index of perfusion impairment at rest (summary rest score, SRS) and the index of perfusion impairment during the exercise tolerance test (summary stress score SSS) were identified.

ECHO-CG was performed using a VIVID 7 Dimension device (General Electric, USA) according to a standardized protocol and in accordance with the recommendations of the European Society of Echocardiography.

Statistical data analysis was performed using STATISTICA 10 (StatSoft, USA, Tulsa, OK) and SPSS Statistics 17.0 (SPSS Inc., Chicago, USA).

Because the distribution of quantitative indicators was different from normal, the nonparametric Mann–Whitney U test was used to analyze them and compare the groups. Group characteristics are described using medians and quartiles.

Comparison of groups according to qualitative indicators was performed using the chi-square method with p calculated using Fisher’s exact test.

Exploratory analysis of the set of indicators was performed using principal component analysis and cluster analysis for indicators and patients.

Groups were compared based on a set of quantitative indicators using linear discriminant analysis with step-by-step exclusion of the least informative indicators.

When analyzing the associations of markers with classifying indicators, their information characteristics (sensitivity, specificity, predictive value of positive and negative results, and diagnostic accuracy), kappa criterion, and significance of the relationship (according to Fisher’s exact test) were calculated.

RESULTS

Clinical characteristics of the patients

The study included 116 patients with suspected CAD (68.9% men, age 61 years (median), quartiles 53–66). Approximately one-third of the patients (35.4%) had a history of myocardial revascularization [percutaneous intervention (PCI) or coronary artery bypass grafting (CABG)]. Less than half of the patients (37.1%) had a typical presentation of effort angina, with symptoms at the grade II level most often noted. Hypertensive disease was diagnosed in most patients (87.1%).

Manifestations of chronic heart failure (CHF) were detected in 2/3 of patients (66.4%) and were more often registered at the grade II level. According to ECHO-CG, most patients had preserved left ventricular (LV) function, namely, ejection fraction (EF) of 55% (median), with quartiles of 35 and 62. No significant LV dilatation was noted, with an end-diastolic volume of 96.5 (median), with quartiles of 84 and 142, and end-systolic volume of 31 (median), with quartiles of 28 and 64.5.

In 17 patients (14.6%) after SPECT, PCI was performed according to the indications, and CABG was performed in 6 (5.2%) patients.

The clinical characteristics of the study groups are presented for a general description of the included patients. In this study, fQRS was considered a marker of myocardial fibrosis in CAD, and no clinical manifestations of CAD were noted. Therefore, comparisons between groups based on clinical characteristics were beyond the scope of the study.

Analysis of SPECT results

Based on the SPECT results, the patients were divided into groups depending on the nature of the detected perfusion defects. The number of patients without scintigraphic signs of perfusion defects both at rest and during the exercise tolerance test (n = 36) was approximately equal to the number of patients with stable perfusion defects (n = 34). Slightly fewer patients had reversible (n = 23) and partially reversible (n = 23) perfusion defects. The presence of stable and partially reversible defects was considered an indirect sign of cicatricial changes in the myocardium. Detailed characteristics of the patients are presented in Table 2.

 

Table 2. Characteristics of patients included in the study

Таблица 2. Характеристика пациентов, включенных в исследование

Total

n (%) or median (quartiles)

N

116

Male sex

79 (68,9%)

Age

61 (53; 66)

History of MI

59 (50,9%)

History of ГБ

111 (87,1%)

Angina clinical pattern

 

Grade I

1 (0,9%)

Grade II

36 (31,0%)

Grade III

6 (5,2%)

Grade IV

0 (0%)

CHF grade

 

Grade I

11 (9,5%)

Grade II

64 (55,2%)

Grade III

2 (1,7%)

Grade IV

0

ECHO-CG

 

EF

55 (35;61,5)

End-diastolic volume

96,5 (84;142)

End-systolic volume

31 (28; 64,5)

Interventricular septum

11 (10;12)

History of CABG, total

9 (7,8%)

History of PCI, total

32 (27,6%)

Anterior interventricular artery

16 (50,0%%)

RCA

7 (21,9%)

LCA trunk

3 (9,4%)

CA

2 (6,3%)

Posterior interventricular artery

3 (9,4%)

Total

n (%) or median (quartiles)

SPECT

 

No perfusion defects

36 (31,0%)

Reversible perfusion defects

23 (19,8%)

Partially reversible perfusion defects

23 (19,8%)

Stable perfusion defects

34 (29,3%)

ECG

 

QRS duration

100 (92;111)

Pathological Q

36 (31,0%)

Slow increase in the R wave amplitude

9 (7,8%)

QRS fragmentation

32 (27,6%)

Coronary angiography, total (after SPECT)

50 (43,1%)

Hemodynamically significant stenoses according to the results of coronary angiography

23 (46%)

Anterior interventricular artery

9 (39,1%)

RCA

3 (13,0%)

LCA trunk

1 (4,3%)

CA

5 (21,7%)

Posterior interventricular artery

1 (4,3%)

Multivessel disease

6 (26,1%)

CABG, total (after SPECT)

6 (5,2%)

Assessment of the CHF grade according to the NYHA; assessment of the angina grade according to the Canadian Heart Association classification

 

The fQRS was recorded in 32 patients, whereas this ECG indicator was significantly more often recorded in patients with stable and partially reversible perfusion defects (44.1% and 52.2% vs. 13.0% and 5.5% in patients without defects of perfusion or with reversible perfusion defects, p < 0.05). Classic ECG signs of cicatricial changes in the myocardium, namely, pathological Q wave and slow increase in the R wave amplitude, were registered in 42 patients and were more often recorded in the same groups (Table 3).

 

Table 3. The frequency of depolarization abnormalities (fQRS, pathological Q wave, poor R wave progression) according to ECG results in patients with suspected/confirmed CAD compared with SPECT results

Таблица 3. Встречаемость нарушений деполяризации (fQRS, патологический зубец Q, замедленное нарастание амплитуды волны R) по результатам ЭКГ у пациентов с предполагаемой/подтвержденной ИБС при сопоставлении с результатами ОФЭКТ

Group

fQRS, n (%)

Traditional ECG signs of cicatricial changes in the myocardium (pathological Q wave and/or slow increase in the R wave amplitude), n (%)

Patients with stable perfusion defects

(n = 34)

15 (44,1%)

25 (73,5%)

Patients with partially reversible perfusion defects (n = 23)

12 (52,2%)

12 (52,2%)

Patients with reversible perfusion defects

(n = 23)

3 (13,0%)

4 (17,5%)

Patients without perfusion defects

(n = 36)

2 (5,5%)

1 (2,8%)

 

In patients with stable and partially reversible perfusion defects, fQRS was more often recorded in leads corresponding to the LV anterior wall (46.7% and 50%, respectively) and in groups without cicatricial changes in the myocardium (with reversible defects or without perfusion defects) in leads corresponding to the LV inferior wall (Table 4).

 

Table 4. Leads with fragmentation of the QRS complex in patients with suspected/confirmed CAD

Таблица 4. Отведения, в которых регистрировалась фрагментация QRS-комплекса у пациентов с предполагаемой/подтвержденной ИБС

Patient group

Patient group

LVAW (V1–V5), n (%)

Lateral LV wall (I, avL, V6), n (%)

LVIW (II, III, avF),

1 (with stable perfusion defects)

7 (46,7)

5 (33,3)

3 (20)

2 (with partially reversible perfusion defects)

6 (50)

1 (8,3)

5 (41,7)

3 (with reversible perfusion defects)

0

0

3 (100)

4 (no perfusion defects)

0

0

2 (100)

 

Figure 1 presents an ECG of patient P., 80 years old, with a history of postinfarction cardiosclerosis, in whom SPECT revealed partially reversible perfusion defects (index of perfusion disturbances during exercise of 7, total perfusion deficit of 9% of the LV volume, index of perfusion impairment at rest of 2, index of stress-induced perfusion impairment of 5, total perfusion deficit at rest of 5% of the left ventricular volume, total stress-induced perfusion deficit of 4% of the LV volume). The detected changes in perfusion correspond to a moderate degree of disturbance in the blood supply to the myocardium. The ECG registers fragmentation of the wide QRS complex in the form of notches in the leads, corresponding to the lateral and posterior LV walls (II, III, avR, avL, and aVF), multinotches are recorded, and in some cases, the distance between the notches is >40 ms.

 

Note. The arrow indicates fragmented-wide QRS complexes (ECG recording speed 25 mm/s).

Figure 1. ECG of 80 years old patient with scar after myocardial infarction detected by SPECT with fragmented wide QRS complex

Рисунок 1. Пример ЭКГ пациентки П., 80 лет с фрагментацией широкого QRS-комплекса на фоне постинфарктного кардиосклероза, подтвержденного данными ОФЭКТ

 

fQRS was recorded in two patients without perfusion defects (5.5%) according to SPECT in leads II, III, and avF, corresponding to the inferior LV wall. In these patients, according to ECHO-CG data, the ejection fraction was within normal values, and no impairment of regional contractility was detected.

fQRS was detected in three patients with reversible perfusion defects (13%), and ECG patterns were recorded in leads corresponding to the inferior LV wall (leads II, III, and avF). During the exercise tolerance test, SPECT in these patients revealed perfusion defects in the inferior LV wall (n = 2) and the inferior and lateral LV walls (n = 1).

More often, fQRS was detected in patients with stable perfusion defects located in the area of the LV anterior wall (LVAW) (80%), LV inferior wall (LVIW) (60%), and interventricular septum (IVS) (60%).

Statistically significant differences were observed in the characteristics of perfusion defects in patients with fQRS. In these patients, the index of perfusion defects at rest was 1.5 times higher than that in patients without fQRS (16.7 and 10.9, p < 0.05). The overall perfusion deficit at rest in the fQRS group was approximately two times greater than that in patients without fQRS (25.2 and 13.8, respectively, p < 0.05). The area of perfusion defects at rest was also larger in patients with fQRS (28.5 and 21.1, p < 0.05) (Table 5, Fig. 2).

 

Table 5. Characteristics of perfusion defects in patients with stable perfusion defects according to SPECT

Таблица 5. Характеристика дефектов перфузии у пациентов со стабильными дефектами перфузии по данным ОФЭКТ

Note. Statistical significance of differences was calculated using the Mann–Whitney U test, p < 0.05.

 

N

Localization of the stable perfusion defect

IVS, n (%)

LVAW, n (%)

Lateral LV wall, n (%)

LVPW, n (%)

LVIW, n (%)

Left ventricular apex, n (%)

Patients with fQRS

15

9 (60)

12 (80)

4 (26,7)

6 (40)

9 (60)

5 (33,3)

Patients without fQRS

19

9 (47,4)

11 (57,9)

6 (31,6)

6 (31,6)

5 (26,3)

8 (42,1)

 

Figure 2. Volume of stable perfusion defects

Рисунок 2. Объем стабильных дефектов перфузии

 

Thus, fQRS may indicate not only the presence of myocardial fibrosis but also an association with the volume of fibrous tissue, thus being a marker of a high risk of life-threatening arrhythmias.

Most often, fQRS was recorded in the group with partially reversible perfusion defects, where perfusion defects were more often detected in the IVS (66.7% at rest and 58.3% under load), LVAW (50% at rest and 75% at load), and LV posterior wall (LVPW) (66.7% at rest and 25.0% under load (Table 6).

 

Table 6. Characteristics of perfusion defects in patients with partially reversible perfusion defects according to SPECT

Таблица 6. Характеристика дефектов перфузии у пациентов с частично обратимыми дефектами перфузии по данным ОФЭКТ

  

Localization of the perfusion defects

IVS, n (%)

LVAW, n (%)

Lateral LV wall, n (%)

LVPW, n (%)

LVIW, n (%)

Left ventricular apex, n (%)

Patients with fQRS

(n = 12)

At rest

8 (66,7)

6 (50,0)

3 (25,0)

8 (66,7)

4 (33,3)

7 (58,3)

On load

7 (58,3)

9 (75,0)

5 (41,7)

3 (25,0)

7 (58,3)

6 (50,0)

Patients without fQRS

(n = 11)

At rest

2 (18,2)

5 (45,4)

3 (27,3)

2 (18,2)

7 (63,3)

3 (27,3)

On load

3 (27,3)

8 (72,7)

4 (36,3)

3 (27,3)

7 (63,3)

3 (27,3)

 

No significant differences were found between the characteristics of perfusion defects in patients with and without fQRS with partially reversible perfusion defects (Fig. 3).

 

Figure 3. Volume of partially reversible perfusion defects

Рисунок 3. Объем частично обратимых дефектов перфузии

 

Traditional signs of fibrosis (cicatricial changes) according to ECG (pathological Q wave and slow increase in the R wave amplitude) were most often recorded in patients with stable perfusion defects (73.5%) and less often recorded in patients with partially reversible (52.2%) and reversible (17.5%) perfusion defects (Table 3).

Using a full sample of patients (n = 116), the information content characteristics of fQRS as a marker of fibrotic changes in the myocardium according to SPECT data were assessed. fQRS is an informative marker for detecting fibrosis, with high sensitivity and positive predictive value (Table 7).

 

Table 7. Informative value of fQRS in the detection of myocardial fibrosis when compared with SPECT

Таблица 7. Информативность fQRS в выявлении фиброза миокарда при сопоставлении с данными ОФЭКТ

 

Sensitivity, %

Specificity, %

Positive predictive value, %

Negative predictive value, %

Diagnostic accuracy, %

fQRS

84,4

64,3

81,3

65,5

69,8

 

Moreover, 19 (67.8%) of the 28 patients with fQRS and cicatricial changes in the myocardium had classic signs of cicatricial changes in the myocardium on ECG, and another 9 (32.1%) patients did not have them; however, they had recorded fQRS (Fig. 4).

 

Figure 4. Comparison of ECG signs associated with fibrosis and the presence of fibrosis (scarring) of the myocardium according to SPECT data

Рисунок 4. Сопоставление ЭКГ-признаков, ассоциированных с фиброзом, и наличия фиброза (рубцовых изменений) миокарда по данным ОФЭКТ

 

DISCUSSION

We examined fQRS in patients with suspected or confirmed CAD by comparing ECG data with SPECT results. In our study, fQRS was recorded significantly more often (44.1% and 52.2% vs 13.0% and 5.5%, p < 0.05) in patients with stable and partially reversible perfusion defects than in those without defects according to SPECT data, which corresponds to existing ideas about the pathogenesis of this ECG marker [40, 41]. Importantly, a third of patients (32.1%) with cicatricial changes in the myocardium confirmed by SPECT data, classical electrocardiographic signs of cicatricial changes, such as the Q wave and a slow increase in the amplitude of the R wave, were not detected; however, fQRS of narrow and wide complexes was recorded. This observation proves the importance of using this ECG marker in routine practice.

Previously, international studies have noted that fQRS is also more common in patients with hemodynamically significant stenoses of the coronary arteries than in healthy individuals [42, 43]. We also recorded a higher incidence of fQRS in patients with reversible myocardial perfusion defects than in those without perfusion defects. However, fQRS was generally determined less frequently in our study than in the works of Korkmaz et al. and Caliskan et al. (13.3%, 54.8%, and 70%, respectively). These differences occur because these studies did not separately evaluate patients with partially reversible perfusion defects.

In patients with stable defects, fQRS was associated with larger perfusion defects. The volume of the myocardial cicatricial tissue is an important risk-stratification marker. Consequently, our case confirms the significance of fQRS as a marker of not only fibrosis but also an increased risk of developing life-threatening arrhythmias and SCD in patients with CAD.

Most often, according to our data, fQRS was recorded in patients with partially reversible perfusion defects, which indicate the presence of a scar and residual ischemia in the peri-infarction zone [44]. However, we did not find a relationship between fQRS and the area of perfusion defects in patients with partially reversible perfusion defects. However, unstable cicatricial zones of the myocardium but areas with alternating zones of healthy myocardium and fibrosis are the most unfavorable for the development of arrhythmias. It can be assumed that fQRS in this case reflects the pronounced structural heterogeneity of the myocardium, regardless of the defect size, and may indirectly imply a more unfavorable prognosis.

CONCLUSION

Fragmentation of the sinus QRS complex is an informative indicator for identifying cicatricial changes in the myocardium in patients with CAD (sensitivity of 84.4% and specificity of 63.3%).

fQRS not only indicates the presence of cicatricial tissue but is also associated with its volume and characteristics (presence of a “re-infarction” zone). Considering the known relationship between cicatricial tissue and the presence of malignant rhythm disturbances in the presence of CAD, the fQRS marker can be assumed to be significant for the risk stratification of this group of patients. This assumption will be confirmed in the ongoing prospective follow-up of patients.

Analysis of fQRS in routine clinical practice when interpreting ECG will increase the diagnostic value of ECG in detecting fibrosis.

Study limitations. The limitations of this study were the small number of patients with SPECT in groups with different characteristics of perfusion defects, retrospective nature of the study, and lack of indexed indicators when assessing ECHO-CG.

Conflict of interest. The authors declare no conflict of interest.

×

About the authors

Mariya S. Gordeeva

Almazov National Medical Research Centre

Author for correspondence.
Email: mariagord@mail.ru
ORCID iD: 0000-0002-6895-5028

cardiologist

Russian Federation, 2, Akkuratova st., Saint Petersburg, 197341

Elena V. Parmon

Almazov National Medical Research Centre

Email: edelbern@mail.ru
ORCID iD: 0000-0002-0852-631X

PhD, Associate professor, Department of Internal medicine, Head of the Institute of Medical Education

Russian Federation, 2, Akkuratova st., Saint Petersburg, 197341

Veronika A. Karlina

Almazov National Medical Research Centre

Email: karlina.veronika.1med@gmail.com
ORCID iD: 0000-0001-9912-7789

cardiologist, specialist of the Regional Healthcare Development Unit, Department of Federal Projects Implementation

Russian Federation, 2, Akkuratova st., Saint Petersburg, 197341

Darya V. Ryzhkova

Almazov National Medical Research Centre

Email: d_ryjkova@mail.ru
ORCID iD: 0000-0002-7086-9153

PhD, Professor of RAS, Head of the Scientific and Clinical Association of Nuclear Medicine, Head of the Department of Nuclear Medicine and Radiation Technologies, Chief Researcher of the Research Institute of Nuclear Medicine and Theranostics of the Institute of Oncology and Hematology

Russian Federation, 2, Akkuratova st., Saint Petersburg, 197341

References

  1. All-Russian clinical recommendations on the control of the risk of sudden cardiac arrest and sudden cardiac death, prevention and first aid. Revishvili ASh, Neminuschiy NM, Batalov RE, et al. Moscow, 2018. (In Russ.). [Всероссийские клинические рекомендации по контролю над риском внезапной остановки сердца и внезапной сердечной смерти, профилактике и оказанию первой помощи. Ревишвили А.Ш., Неминущий Н.М., Баталов Р.Е., и др. М., 2018].
  2. Carmeliet E. Cardiac ionic currents and acute ischemia: from channels to arrhythmias. Physiol Rev. 1999;79(3):917-1017. doi: 10.1152/physrev.1999.79.3.917
  3. Sovari AA, Karagueuzian SH. Myocardial fibrosis as a risk stratifier for sudden arrhythmic death. Expert Review of Cardiovascular Therapy. 2011;9(8):951-958. doi: 10.1586/erc.11.103
  4. Steenberge C, Frangogiannis NG. Ischemic Heart Disease. Elsevier Inc. 2012;1(27):495-521. https://doi.org/10.1016/B978-0-12-381510-1.00036-3
  5. Nagueh I, Mikati D, Weilbaecher SF, et al. Relation of the contractile reserve of hibernating myocardium to myocardial structure in humans. Circulation. 1999;100:490-496. doi/10.1161/01.CIR.100.5.490
  6. Dewald O, Frangogiannis NG, Zoerlein M, et al. Development of murin eischemic cardiomyopathy is associated with a transient inflammatory reaction and depends on reactive oxygens pecies. Proc Natl Acad Sci USA. 2003;100(5):2700-2705. doi: 10.1073/pnas.0438035100
  7. Frangogiannis NG, Dewald O, Xia Y, et al. Critical role of monocyte chemoattractant protein-1/CC chemokine ligand 0 2 in the pathogenesis of ischemic cardiomyopathy. Circulation. 2007;115(5):584-592. doi: 10.1161/CIRCULATIONAHA.106.646091
  8. Van den Borne SW, Diez J, Matthijs Blankesteijn W, et al. Myocardial remodeling after infarction: the role of myofibroblasts. J Nat Rev Cardiol. 2010;7(1):30-37. doi: 10.1038/nrcardio.2009.199
  9. Shinde AV, Frangogiannis NG. Fibroblasts in myocardial infarction: a role in inflammation and repair. J Mol Cell Cardiol. 2014;70;74-82. doi: 10.1016/j.yjmcc.2013.11.015
  10. Talman V, Ruskoaho H. Cardiac fibrosis in myocardial infarction – from repair and remodeling to regeneration. Cell Tissue Res. 2016;365(3):563-581. doi: 10.1007/s00441-016-2431-9
  11. Czubryt MP. Common threads in cardiac fibrosis, infarct scar formation, and wound healing. Fibrogenesis Tissue Repair. 2012;5(1): 2-11. doi: 10.1186/1755-1536-5-19
  12. de Jong S, van Veen TA, de Bakker JMT, et al. Biomarkers of myocardial fibrosis. J Cardiovasc Pharmacol. 2011;57(5):522-535. doi: 10.1097/FJC.0b013e31821823d9
  13. Kępska M, Kołodziejczyk J, Mączewski M, et al. Fibrosis as a contributing factor to the induction of ventricular arrhythmias. Int J Cardiol. 2013;168(3):2100-2108. doi: 10.1053/j.ajkd.2004.04.037
  14. Peters NS, Wit AL. Myocardial architecture and ventricular arrhythmogenesis. Circulation. 1998;97(17):1746-1754. doi: 10.1161/01.CIR.97.17.1746
  15. Xie Y, Sao D, Garfinkel A, et al. So little source, so much sink: requirements for atherdepolariazations to propagate in tissue. Biophys J. 2010;99(5):1408-1414. doi: 10.1016/j.bpj.2010.06.042
  16. Mahrholdt H, Wagner A, Holly TA, et al. Reproducibility of chronic infarct size measurement by contrast-enhanced magnetic resonance imaging. Circulation. 2002;106(18):2322-2327. doi: 10.1161/01.cir.0000036368.63317.1с
  17. Ricciardi MJ, Wu E, Davidson CJ, et al. Visualization of discrete microinfarction after percutaneous coronary intervention associated with mild creatine kinase-MB elevation. Circulation. 2001;103(23):2780-2783. doi: 10.1161/hc2301.092121
  18. Jellis C, Martin J, Narula J, et al. Assessment of nonischemic myocardial fibrosis. J Am Coll Cardiol. 2010;56:89-97. doi: 10.1016/j.jacc.2010.02.047
  19. Holder BL, Lewis S, Abrames E, et al. Review of SPECT Myocardial Perfusion Imaging. J Am Osteopath Coll Radiol. 2016;5(3):5-13.
  20. Nadour W, Doyle M, Williams RB, et al. Does the presence of Q waves on the EKG accurately predict prior myocardial infarction when compared to cardiac magnetic resonance using late gadolinium enhancement? A cross-population study of noninfarct vs infarct patients. Heart Rhythm. 2014;11(11):2018-2026. doi: 10.1016/j.hrthm.2014.07.025
  21. Sandler LL, Pinnow EE, Lindsay J. The accuracy of electrocardiographic Q waves for the detection of prior myocardial infarction as assessed by a novel standard of reference. Clin Cardiol. 2004;27(2):97-100. doi: 10.1002/clc.4960270212
  22. Asch FM, Shah S, Rattin C. Lack of sensitivity of the electrocardiogram for detection of old myocardial infarction: cardiac magnetic resonance imaging study. Am Heart J. 2006;152(4):7422-7428. doi: 10.1016/j.ahj.2006.02.037
  23. Konno T, Hayashi K, Fujino N, et al. Electrocardiographic QRS Fragmentation as a Marker for Myocardial Fibrosis in Hypertrophic Cardiomyopathy. J Cardiovasc Electrophysiol. 2015;26(10):1081-1087. doi: 10.1111/jce.12742
  24. Suzuki Y, Kuwajima I, Ohkawa S, et al. Clinicopathological correlation of poor R wave progression for the diagnosis of anterior myocardial infarction in the elderly. Nihon Ronen Igakkai Zasshi. 1988;25(6):597-602. doi: 10.3143/geriatrics.25.597
  25. Zema MJ, Collins M, Alonso DR, et al. Electrocardiographic poor R-wave progression. Correlation with postmortem findings. Chest. 1981;79(2):195-200. doi: 10.1378/chest.79.2.195
  26. Kim SH, Kwak MH, Kim HJ, et al. Prevalence and positive predictive value of poor R-wave progression and impact of the cardiothoracic ratio. Korean Circ J. 2009;39(10):418-22. doi: 10.4070/kcj.2009.39.10.418
  27. Das MK, Khan B, Jacob S, et al. Significance of a fragmented QRS complex versus a Q wave in patients with coronary artery disease. Circulation. 2006;113(21):2495-2250. doi: 10.1161/CIRCULATIONAHA.105.595892
  28. Das MK, Suradi H, Maskoun W, et al. Fragmented wide QRS on a 12-lead ECG: a sign of myocardial scar and poor prognosis. Circ Arrhythm Electrophysiol. 2008;1(4):258-568. doi: 10.1161/CIRCEP.107.763284
  29. Wang DD, Buerkel DM, Corbett JR, et al. Fragmented QRS complex has poor sensitivity in detecting myocardial scar. Ann Noninvasive Electrocardiol. 2010;15(4):308-314. doi: 10.1111/j.1542-474X.2010.00385.x
  30. Wang DD, Tibrewala A, Nguygen P, et al. Fragmented QRS on surface electrocardiogram is not a reliable predictor of myocardial scar, angiographic coronary disease or long term adverse outcomes. Cardiovasc Diagn Ther. 2014;4(4):279-286. doi: 10.3978/j.issn.2223-3652.2014.08.03
  31. Lorgis L, Cochet A, Chevallier O, et al. Relationship between fragmented QRS and no-reflow, infarct size, and peri-infarct zone assessed using cardiac magnetic resonance in patients with myocardial infarction. Can J Cardiol. 2014;30(2):204-210. doi: 10.1016/j.cjca.2013.11.026
  32. Tangcharoen T, Wiwatworapan W, Praserkulchai W, et al. Fragmented QRS on 12-lead EKG is an independent predictor for myocardial scar: a cardiovascular magnetic resonance imaging study. J Cardiovasc Magn Reson. 2013;15(1):192. doi: 10.3978/j.issn.2223-3652.2014.08.03
  33. Ahn MS, Kim JB, Joung B, et al. Prognostic implications of fragmented QRS and its relationship with delayed contrast-enhanced cardiovascular magnetic resonance imaging in patients with non-ischemic dilated cardiomyopathy. Int J Cardiol. 2013;167(4):1417-1422. doi: 10.1016/j.ijcard.2012.04.064
  34. Sadeghi R, Dabbagh V, Tayyebi M, et al. Diagnostic value of fragmented QRS complex in myocardial scar detection: systematic review and meta-analysis of the literature. Kardiol Pol. 2016;74(4):331-337. doi: 10.5603/KP.a2015.0193
  35. Ozdemir S, Tan YZ, Colkesen Y, et al. Comparison of fragmented QRS and myocardial perfusion-gated SPECT findings. Nucl Med Commun. 2013;34(11):1107-1115. doi: 10.1097/MNM.0b013e3283653884
  36. Goldberger JJ, Subačius H, Patel T, et al. Sudden cardiac death risk stratification in patients with nonischemic dilated cardiomyopathy. J Am Coll Cardiol. 2014;63(18):1879-1889. doi: 10.1016/j.jacc.2013.12.021
  37. Canpolat U, Kabakçi G, Aytemir K, et al. Fragmented QRS complex predicts the arrhythmic events in patients with arrhythmogenic right ventricular cardiomyopathy/dysplasia. J Cardiovasc Electrophysiol. 2013;24(11):1260-1266. doi: 10.1111/jce.12202
  38. Lu X, Wang W, Zhu L, et al. Prognostic Significance of Fragmented QRS in Patients with Hypertrophic Cardiomyopathy. Cardiology. 2017;138(1):26-33. doi: 10.1159/000471845
  39. Flowers NC, Horan LG, Thomas JR, et al. The anatomic basis for high-frequency components in the electrocardiogram. Circulation. 1969;39:531-539. doi: 10.1161/01.cir.39.4.531
  40. Chatterjee S, Changawala N. Fragmented QRS Complex: A Novel Marker of Cardiovascular Disease. Clinical Cardiology. 2010;33(2):68-71. doi: 10.1002/clc.20709
  41. Korkmaz A, Yildiz A, Demir M, et al. The relationship between fragmented QRS and functional significance of coronary lesions. J Electrocardiol. 2017;50(3):282-286. doi: 10.1016/j.jelectrocard.2017.01.005
  42. Caliskan B, Korkmaz AN, Erdem F. Contribution of fragmented QRS on myocardial perfusion imaging in the assessment of functionally significant coronary artery stenoses. Eur Rev Med Pharmacol Sci. 2016;20(8):1575-1581. PMID: 27160131
  43. Ryzhkova DV. Myocardial perfusion scintigraphy. Cardiology: News. Opinions. Training. 2016;11(4):100. (In Russ.). [Рыжкова Д.В. Перфузионная сцинтиграфия миокарда. Кардиология: Новости. Мнения. Обучение. 2016;11(4):100].

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Figure 1. ECG of 80 years old patient with scar after myocardial infarction detected by SPECT with fragmented wide QRS complex.

Download (383KB)
3. Figure 2. Volume of stable perfusion defects.

Download (91KB)
4. Figure 3. Volume of partially reversible perfusion defects.

Download (112KB)
5. Figure 4. Comparison of ECG signs associated with fibrosis and the presence of fibrosis (scarring) of the myocardium according to SPECT data.

Download (92KB)

Copyright (c) 2022 Gordeeva M.S., Parmon E.V., Karlina V.A., Ryzhkova D.V.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ПИ № ФС77-65957 от 06 июня 2016 г.


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies