Circulation Journal
Online ISSN : 1347-4820
Print ISSN : 1346-9843
ISSN-L : 1346-9843
Heart Failure
Predictive Value of QRS Duration at Admission for In-Hospital Clinical Outcome of Takotsubo Cardiomyopathy
Tetsuo YamaguchiTsutomu YoshikawaToshiaki IsogaiTakamichi MiyamotoYuichiro MaekawaTetsuro UedaKonomi SakataTsutomu MurakamiTakeshi YamamotoKen NagaoMorimasa Takayama
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2017 Volume 81 Issue 1 Pages 62-68

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Abstract

Background: Prolonged QRS duration (pQRSd) on electrocardiogram (ECG) is a strong predictor of poor outcome in heart failure, myocardial infarction, and myocarditis, but it is unclear whether pQRSd also predicts poor outcomes of takotsubo cardiomyopathy (TC).

Methods and Results: Between 1 January 2010 and 31 December 2012, we retrospectively enrolled 299 patients with TC (mean age, 73.5±11.7 years; 21.4% male) from the Tokyo CCU Network database, which consists of 71 cardiovascular centers in the metropolitan area. In-hospital clinical outcomes were compared between patients with pQRSd on admission ECG (QRS ≥120 ms; n=34) and those with normal QRS duration (<120 ms; n=265). The in-hospital mortality rate for pQRSd was significantly higher than that for normal QRS duration (23.5% vs. 3.8%, P<0.001). Similarly, prevalence of ventilator use (38.2% vs. 11.4%, P<0.001), ventricular tachycardia or fibrillation (14.7% vs. 1.5%, P<0.001), and circulatory failure requiring catecholamine or cardiopulmonary supportive devices (41.2% vs. 14.0%, P<0.001) was significantly higher in the pQRSd group. On multivariate logistic regression analysis, pQRSd was an independent predictor for both in-hospital mortality (OR, 5.06; 95% CI: 1.79–14.30, P=0.002) and cardiac death (OR, 7.34; 95% CI: 1.33–40.51, P=0.02).

Conclusions: TC with pQRSd is associated with poor in-hospital clinical outcome. Aggressive intervention may be required to prevent severe complications in these patients.

Takotsubo cardiomyopathy (TC) is characterized by reversible left ventricular (LV) dysfunction not caused by coronary artery disease (CAD).13 The in-hospital mortality rate is between 0% and 8%,25 and the rate of major adverse cardiac and cerebrovascular events is 7.1%.5 J wave and QT prolongation on electrocardiogram (ECG) are predictors of short-term outcome in TC,6,7 but the prognostic impact of prolonged QRS duration (pQRSd) in TC remains unknown, although it is a strong predictor of poor outcome in previous myocardial infarction, congestive heart failure (HF), and myocarditis.810

The aim of the present study was to examine the predictive value of pQRSd for in-hospital clinical outcomes of TC, using a multicenter database in Japan.

Methods

Subjects

The Tokyo CCU Network database is a prospective, ongoing, multicenter, population-based cohort database of emergency admissions to acute cardiac care facilities in Tokyo. It was launched in 1978 and expanded to 71 large-volume cardiovascular facilities. We launched the TC research group in 2010 and started collecting data on patients with TC admitted to facilities participating in the Tokyo CCU Network. Data on TC patients were collected retrospectively, and included original copies of ECG for a 3-year period between 2010 and 2012. Data have been collected prospectively since 2013, but do not include original copies of ECG. Therefore, we used data collected between 2010 and 2012 for this study. The requirement for informed consent was waived because all data were anonymously catalogued. As stated in a preceding article from a Tokyo CCU Network registered cohort,11 patient data collection policies are displayed at the emergency entrance of each facility in accordance with rules set forth by the Ministry of Internal Affairs and Communications. The aim of the registry and personal information protection policy are stated on pamphlets given to the patients and their family. Trained personnel collected data via individual chart review. The quality of submitted data was maintained through annual data quality checks that included point-of-entry mechanism controls.11 This study was approved by the institutional review board of Tokyo CCU Network Scientific Committee and conformed to the ethical principles of the Declaration of Helsinki.

We first identified 368 consecutive patients registered as having TC from all the facilities that participated in the Tokyo CCU Network between 1 January 2010 and 31 December 2012. After excluding patients who did not undergo coronary angiography (n=56) and those without ECG information (n=13), we finally enrolled 299 eligible patients (Figure 1). We defined TC according to the criteria proposed by the Mayo Clinic,12 as the presence of transient LV wall motion abnormality beyond a single epicardial coronary artery perfusion territory, the absence of obstructive CAD or angiographic evidence of acute plaque rupture, the presence of new ECG abnormalities (either ST-segment elevation and/or T-wave inversion) or elevation in cardiac troponin levels, and the absence of pheochromocytoma and myocarditis.

Figure 1.

Patient selection.

Data Collection

The following data were collected using a Tokyo CCU Network database questionnaire: age, sex, height, weight, initial vital signs (including systolic blood pressure [SBP] and diastolic blood pressure, heart rate, and arterial oxygen saturation in the emergency room), Killip classification,13 ECG findings at admission (ST-segment elevation and depression, QT interval, and QRS duration), laboratory data at admission, echocardiographic parameters (LV ejection fraction [EF] by a modified Simpson method, and LV outflow tract obstruction), and cardiac catheterization findings. Shock on arrival was defined as SBP in the emergency room <90 mmHg. HF on arrival was defined as Killip class ≥II at admission. QT prolongation was defined as QTc (Bazett’s formula) ≥440 ms, and QRS prolongation was defined as QRS ≥120 ms. We initially collected original copies of ECG at admission in 2010 and at both admission and discharge in 2011 and 2012. Then, we collected original copies of the ECG at discharge in patients who had been admitted with pQRSd in 2010. Estimated glomerular filtration rate (eGFR; mL/min/1.73 m2) was calculated as 194×Cr–1.094×age–0.287 in men, and as 194×Cr–1.094×age–0.287×0.739 in women.14 Brain natriuretic peptide (BNP) and the N-terminal of prohormone BNP were converted to the ratio of the upper limit of the normal range. We recorded all in-hospital complications, including all-cause death, definite cardiac death (defined as death from HF and arrhythmia), ventricular arrhythmia (ventricular tachycardia or ventricular fibrillation), advanced atrioventricular block (Mobitz type II atrioventricular block or complete atrioventricular block); use of catecholamine, invasive or non-invasive ventilator, cardiopulmonary supportive device (intra-aortic balloon pumping [IABP] or extracorporeal membrane oxygenation); and circulatory failure requiring catecholamine or a cardiopulmonary supportive device.

Statistical Analysis

Continuous variables are expressed as mean±SD if the variable was normally distributed, or as median (IQR) if not. Categorical variables are expressed as n (%). We used Welch’s t-test or Wilcoxon’s rank-sum test to compare continuous variables, and Fisher’s exact test to compare categorical variables. Univariate logistic regression analysis was used to identify univariate predictors for in-hospital mortality. The selection of variables for univariate analysis was based on clinical importance and data from preceding studies. Only variables that had 2-sided P<0.2 on univariate logistic regression analyses were included in multivariate logistic regression analysis to determine independent predictors for in-hospital mortality. We performed a complete case analysis for the multivariate logistic regression analysis. Receiver operating characteristic (ROC) analysis was performed to evaluate sensitivity and specificity of QRS duration for outcome. Statistical analysis was performed using R (version 3.1.0; R Development Core Team). Two-sided P<0.05 was considered statistically significant.

Results

Patient Characteristics

As shown in Table 1, 34 patients (11.4%) had pQRSd, of whom 7 (20.6%) had right bundle branch block, 13 (38.2%) had left bundle branch block, and 14 (41.2%) had non-specific intraventricular block. Patients with pQRSd had a significantly higher heart rate, higher creatinine kinase, eGFR, BNP, and higher prevalence of QT prolongation and of HF on arrival. In contrast, there were no significant differences in sex, SBP, LVEF, apical ballooning, positive troponin, or preceding stress.

Table 1. Baseline Subject Characteristics
  pQRSd (n=34) Normal QRSd (n=265) P-value
Age (years) 69.8±12.5 74.0±11.6 0.021
Sex: male 10 (29.4) 54 (20.4) 0.23
BMI (kg/m2) 20.8±4.4 20.6±3.6 0.71
SBP (mmHg) (n=294) 130±42 (n=33) 136±32 (n=261) 0.39
Heart rate (beats/min) (n=293) 103±36 (n=32) 88±24 (n=262) 0.033
ST-segment elevation (n=295) 25 (73.5) 200 (76.6) (n=261) 0.69
QT prolongation (n=298) 24 (70.6) 113 (42.8) (n=264) 0.002
LVEF (%) (n=185) 49.3±14.7 (n=21) 50.7±13.6 (n=164) 0.63
LVOT (n=262) 3 (11) (n=28) 21 (9.0) (n=234) 0.76
Apical ballooning (n=292) 32 (94.1) 226 (87.6) (n=258) 0.27
Emotional stress (n=282) 11 (33.3) (n=33) 72 (28.9) (n=249) 0.68
Physical stress (n=282) 17 (51.5) (n=33) 87 (34.9) (n=249) 0.088
HF on arrival (n=284) 12 (36.4) (n=33) 48 (19.1) (n=251) 0.023
eGFR (mL/min/1.73 m2) (n=289) 41.7 (34.1–51.96) 35.5 (30.4–47.9) (n=255) 0.095
Creatinine kinase (IU/L) (n=274) 214 (132.3–303.3) (n=30) 167 (101.0–335.0) (n=244) 0.012
BNP×ULN (n=275) 18.77 (6.65–32.73) (n=31) 7.96 (3.18–23.61) (n=244) <0.001
WBC (/μL) (n=298) 8,900 (7,500–12,000) (n=33) 7,900 (6,030–10,800) 0.27
CRP (mg/dL) (n=294) 0.46 (0.1–2.9) (n=33) 0.28 (0.1–1.5) (n=261) 0.21
Positive troponin (n=257) 21 (87.5) (n=24) 195 (83.7) (n=233) 0.63

Data given as mean±SD, n (%) or median (IQR). Modified Simpson method. Heart failure on arrival was defined as Killip class ≥II at admission. BNP and the N-terminal of prohormone brain natriuretic peptide are described as the ratio of the ULN. BMI, body mass index; BNP, brain natriuretic peptide; CRP, C-reactive protein; eGFR, estimated glomerular filtration rate; HF, heart failure; LVEF, left ventricular ejection fraction; LVOT, left ventricular outflow tract obstruction; pQRSd, prolonged QRS duration; QRSd, QRS duration; SBP, systolic blood pressure; ULN, upper limit of normal range; WBC, white blood cells.

Representative Cases

In the present study, there were 2 representative cases of pQRSd. The first patient (Figure 2A) was an 87-year-old woman who was admitted with pQRSd (129 ms). During hospitalization, she developed HF but recovered in a few days. ECG showed normal QRS duration on discharge (day 6, 89 ms). The second patient (Figure 2B) was a 60-year-old man who was admitted with pQRSd (124 ms) and ST-segment depression. After admission, his vital signs fell, and shock and ventricular tachycardia occurred. QRS duration was not normalized. Despite undergoing IABP insertion and extracorporeal membrane oxygenation, he died. In this study, 5 patients similarly had persistent pQRSd, and 4 of them died.

Figure 2.

Representative cases. (A) An 87-year-old woman admitted with prolonged QRS duration (pQRSd; 129 ms). Electrocardiogram showed normal QRS duration (QRSd) on discharge (day 6, 89 ms). (B) A 60-year-old man admitted with pQRSd (124 ms). His vital signs fell to shock, and ventricular tachycardia (VT) occurred. The patient died, despite intra-aortic balloon pumping and extracorporeal membrane oxygenation.

Clinical Outcomes

Overall in-hospital mortality was 6.0% (18/299), of which definite cardiac death comprised 44.4% (8/18). The other causes of death were documented as pneumonia (n=4), sepsis (n=2), stroke or brain hemorrhage (n=2), and malignancy (n=2). The in-hospital mortality was significantly higher in the pQRSd group than in those with normal QRS duration (23.5% vs. 3.8%, P<0.001; Table 2). Similarly, definite cardiac death was more frequent in the pQRSd than in those with normal QRS duration (11.8% vs. 1.5%, P<0.001; Table 2). In addition, the prevalence of other clinical outcomes, including ventricular arrhythmia, advanced atrioventricular block, ventilator use, use of cardiopulmonary supportive device, and circulatory failure, was significantly higher in the pQRSd group (Table 2). On univariate logistic regression analysis, shock on arrival, HF on arrival, pQRSd, heart rate, white blood cell count, and BNP level had a 2-sided P<0.2 for in-hospital mortality. On multivariate logistic regression analysis, pQRSd (OR, 5.06; 95% CI: 1.79–14.30, P=0.002), as well as shock on arrival (OR, 4.32, 95% CI: 1.39–13.45, P=0.011) and HF on arrival (OR, 3.21, 95% CI: 1.17–8.80, P=0.020) were significantly associated with in-hospital mortality (Table 3). Likewise, another multivariate logistic regression analysis showed that pQRSd was significantly associated with cardiac death (OR, 7.34, 95% CI: 1.33–40.51, P=0.023; Table 4). On ROC analysis, QRS duration had high predictive value for both in-hospital death (area under the curve [AUC], 0.859) and cardiac death (AUC, 0.901; Figure 3). For in-hospital death, with the optimal cut-off of 110 ms, the sensitivity and specificity were 0.722 and 0.854, respectively; and with a cut-off of 120 ms (definition of pQRSd), the sensitivity and specificity were 0.444 and 0.907, respectively. For cardiac death, with the optimal cut-off of 110 ms, the sensitivity and specificity were 0.838 and 0.875, respectively; and with the cut-off of 120 ms, the sensitivity and specificity were 0.500 and 0.897, respectively.

Table 2. In-Hospital Clinical Outcomes
  pQRSd
(n=34)
Normal QRSd
(n=265)
P-value
All-cause death 8 (23.5) 10 (3.8) <0.001
Cardiac death 4 (11.8) 4 (1.5) <0.001
Ventricular arrhythmia 5 (14.7) 4 (1.5) <0.001
Advanced atrioventricular block 4 (11.8) 10 (3.4)  0.024
Catecholamines 8 (23.5) 28 (10.7)  0.031
Cardiopulmonary supportive device§ 6 (17.6) 9 (3.4) <0.001
Circulatory failure†† 14 (41.2) 37 (14.0) <0.001
Ventilator 13 (38.2) 30 (11.4) <0.001

Data given as n (%). Includes both ventricular tachycardia and fibrillation. Includes both Mobitz type II atrioventricular block and complete atrioventricular block. §Intra-aortic balloon pumping and/or extracorporeal membrane oxygenation. ††Defined as use of catecholamine or cardiopulmonary supportive devices. Non-invasive positive pressure support and mechanical ventilation. pQRSd, prolonged QRS duration; QRSd, QRS duration.

Table 3. Indicators of In-Hospital Death
Variables Univariate Multivariate (total, n=262)
OR (95% CI) P-value OR (95% CI) P-value
Age 0.99 (0.96–1.03) 0.60 NA NA
Male sex 0.78 (0.23–2.70) 0.70 NA NA
Shock on arrival 5.63 (2.10–15.1) <0.001 4.32 (1.39–13.45) 0.011
HF on arrival 3.26 (1.30–8.15) 0.011 3.21 (1.17–8.80) 0.020
pQRSd 6.61 (2.62–16.7) <0.001 5.06 (1.79–14.30) 0.002
pQTd 1.02 (0.75–1.38) 0.90 NA NA
Emotional stress 0.78 (0.25–2.52) 0.69 NA NA
Physical stress 1.36 (0.49–3.75) 0.56 NA NA
Heart rate 1.02 (1.00–1.03) 0.020 1.01 (0.99–1.03) 0.26
WBC count 1.00 (1.00–1.01) 0.079 1.00 (1.00–1.00) 0.18
BNP 1.02 (0.99–1.04) 0.14 1.01 (0.98–1.04) 0.51

NA, not applicable; pQTd, prolonged QT duration. Other abbreviations as in Table 1.

Table 4. Indicators of In-Hospital Cardiac Death
Variables Univariate Multivariate (total, n=262)
OR (95% CI) P-value OR (95% CI) P-value
Age 0.97 (0.92–1.02) 0.26 NA NA
Male sex 2.25 (0.52–9.69) 0.27 NA NA
Shock on arrival 28.13 (6.17–128.3) <0.001 24.62 (4.53–133.68) <0.001
HF on arrival 4.87 (1.13–20.95) 0.031 2.05 (0.38–11.06) 0.41
pQRSd 8.70 (2.07–36.9) 0.003 7.34 (1.33–40.51) 0.023
pQTd 2.25 (0.45–11.36) 0.32 NA NA
Emotional stress 1.83 (0.40–8.35) 0.44 NA NA
Physical stress 2.33 (0.51–10.64) 0.27 NA NA
Heart rate 1.02 (1.00–1.04) 0.002 1.02 (0.99–1.06) 0.10
WBC count 1.00 (0.99–1.00) 0.30 NA NA
BNP 1.02 (0.99–1.05) 0.12 1.03 (0.99–1.07) 0.21

Abbreviations as in Tables 1,3.

Figure 3.

Receiver operating characteristic curves of QRS duration for (A) in-hospital mortality and (B) cardiac death. AUC, area under the curve.

Normalization of pQRSd at Discharge

The QRS duration was normalized at discharge in 29 (85.3%) of 34 patients with pQRSd. Four of 5 patients with persistent pQRSd died.

Discussion

In the present study, we compared the clinical outcomes of TC with and without pQRSd, using data from a large, multicenter registry. The main findings were that pQRSd at admission was independently associated with in-hospital death and cardiac death. In addition, critical complications, including ventricular arrhythmia, use of a ventilator, and circulatory failure, were more frequently found in patients with pQRSd.

In this study, 18 fatal events were observed during hospitalization, of which only 8 were definite cardiac deaths. We speculated that the other 10 deaths may be attributable to both severe physical stresses (such as infection, cerebrovascular disease, and malignancy) and TC, because TC is often caused by physical stress (34.8% of the present patients had existing physical stress), and the combination of the aforementioned diseases was reported to be significantly associated with higher in-hospital mortality.15

J wave and QT prolongation on ECG are predictors of short-term TC outcome,6,7 but QT prolongation was not an independent predictor for in-hospital mortality in this study. The difference in results may be explained by the difference in patient background. In the present study, we analyzed all patients hospitalized with TC, but the previous report analyzed only those with arrhythmia.7 In contrast, no previous study has investigated the frequency and prognostic impact of pQRSd in TC. In this study, pQRSd was noted in 11.4% of patients (34/299). We also showed that pQRSd was associated with poor outcome. This may be biologically plausible, because pQRSd suggests electrical stunning of the myocardium or Purkinje-ventricular conduction delay caused by myocardial ischemia.16,17

pQRSd is significantly associated with poor outcome in a variety of diseases, including previous myocardial infarction, congestive HF, and myocarditis.810 In ischemic cardiomyopathy, ischemia causes leakage of intracellular potassium to the extracellular space, which increases extracellular potassium concentration. High extracellular potassium concentration delays electrical conduction of the myocardium, leading to pQRSd and myocardial dysfunction.18,19 In myocarditis, inflammation causes degeneration and necrosis of the myocardial conduction cells and interstitial edema, which is thought to play a major role in the development of pQRSd.20 In addition, pQRSd has been reported as a predictor of fulminant myocarditis.21 In contrast, in TC, the cause and clinical significance of pQRSd remains unclear. The QRS duration of most of the present patients (29/34, 85.3%) was normalized at discharge, suggesting that pQRSd in TC is an exclusively transient phenomenon, similar to myocarditis. Although there were no significant differences, creatinine kinase, BNP, white blood cell count, and C-reactive protein tended to be higher in the pQRSd group than in the normal QRS group (Table 1). This suggests that severe myocardial inflammation might occur in patients with pQRSd. Only one case report noted transient pQRSd in TC.22 In that report, the patient had pulmonary edema and pQRSd on admission, but the QRS duration was normalized immediately after the introduction of IABP. This may indicate that pQRSd in TC reflects myocardial ischemia due to microvascular dysfunction, because IABP improves coronary driving pressure. In addition, improvement of hemodynamics by IABP seemed to improve acidosis, which might contribute to the normalization of QRS duration. In summary, we assume that pQRSd in TC is the result of transient inflammation of the myocardium or myocardial ischemia due to microvascular dysfunction. These mechanisms may be different from pQRSd in patients with HF, which seems to be a permanent change associated with LV dysfunction.

We described 2 representative cases of pQRSd. In the first case (Figure 2A), QRS duration was normalized in a few days and the female patient was discharged ambulatory. In contrast, in the second case (Figure 2B), QRS duration was not normalized, and the male patient died despite intensive treatment. In this study, 4 of 5 patients with persistent pQRSd died. Although we did not analyze it statistically because of the small number of patients, persistent pQRSd may be associated with more serious complications. A further study should be conducted to clarify the clinical differences between transient and persistent pQRSd in TC.

On ROC analysis, the best cut-off point of QRS duration was 110 ms in both in-hospital death and cardiac death. This indicates that mild pQRSd may be a sign of myocardial damage in patients with TC. We may have to prepare for severe complications even when QRS prolongation is in the mild range (i.e. 100–120 ms).

Study Limitations

Several study limitations should be acknowledged. First, this was a retrospective, multicenter, observational study, and there were some missing or unavailable data. For example, in LVEF, we analyzed only 61.9% of patients (185/299). LVEF was reported as an independent predictor of in-hospital outcome,23 but LVEF could not be used in multivariate logistic regression analysis because of many missing data points. Similarly, we could not examine the significance of LV outflow tract obstruction on multivariate analysis. Therefore, these may be residual confounding factors. Nevertheless, we used variables such as shock on arrival, HF on arrival, and BNP, which seemed to reflect severity.

Second, we had data only on in-hospital mortality, therefore the clinical impact of pQRSd on long-term outcome is unclear, and hence, we will be carrying out additional studies of long-term outcome.

Third, the first ECG was evaluated at patient admission, therefore ECG changes at the true time of onset could not be determined. In this study, however, ST-segment elevation was noted in 75.3% (225/299) of patients, indicating that most of them were admitted to hospital at a relatively earlier stage after onset of symptoms, compared with a recently reported large multicenter registry in which ST-segment elevation was noted in 43.7%.5 In this setting, Tokyo has a special system called the CCU-HOTLINE to convey patients with suspected cardiovascular disease directly to professional facilities as soon as possible. Thus, these data may precisely reflect QRS duration at the onset of symptoms.

Fourth, we could not obtain original copies of ECG at discharge for patients who had been admitted without pQRSd in 2010, or serial ECG during the hospital course in all cases; therefore, we could not exclude the possibility that QRS duration on admission was within the normal limit but was prolonged after hospitalization in some cases, which may affect the prognosis. In the present study, however, no patients had normal QRS duration at admission and pQRSd at discharge in 2011 and 2012.

Fifth, in 5 patients with pQRSd (14.7%), ECG at discharge showed pQRSd. In these patients, we were not able to distinguish between stress-induced and pre-existing pQRSd. In a previous report, however, bundle branch block was noted in only 0.18% of the general population,24 therefore the prevalence of pre-existing bundle branch block in the present study would have been very small. In addition, the extremely high mortality rate in these 5 patients (4/5 patients died) suggests stress-induced rather than pre-existing pQRSd. Given that we are often unable to obtain ECG before admission in daily practice, we believe that the present results highlight the clinical importance of pQRSd at admission for predicting critical events.

Last, the study sample size may be another possible limitation. Although we carefully selected 299 patients for enrolment, this is relatively smaller than the cohorts of previous multicenter registries.

Conclusions

PQRSd at admission in patients with TC was significantly associated with poor clinical outcome. Aggressive intervention may be required to prevent severe complications.

Acknowledgments

We would like to thank Editage for help in editing and preparing the manuscript for publication.

Disclosures

The authors declare no conflicts of interest.

Funding Sources

This study was not supported by any company, grant, or fund.

The Tokyo CCU network data registry is financially supported by the Tokyo Metropolitan Government.

References
 
© 2017 THE JAPANESE CIRCULATION SOCIETY
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