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Pediatr Cardiol<br />

DOI 10.1007/s00246-012-0348-y<br />

ORIGINAL ARTICLE<br />

<strong>Junctional</strong> <strong>Ectopic</strong> <strong>Tachycardia</strong> <strong>After</strong> <strong>Infant</strong> <strong>Heart</strong> Surgery:<br />

Incidence and Outcomes<br />

Jeffrey D. Zampi • Jennifer C. Hirsch • James G. Gurney •<br />

Janet E. Donohue • Sunkyung Yu • Martin J. LaPage •<br />

<strong>David</strong> A. <strong>Hanauer</strong> • John R. Charpie<br />

Received: 24 January 2012 / Accepted: 25 April 2012<br />

Ó Springer Science+Business Media, LLC 2012<br />

Abstract <strong>Junctional</strong> ectopic tachycardia (JET) is an<br />

arrhythmia observed almost exclusively after open heart<br />

surgery in children. Current literature on JET has not<br />

focused on patients at the highest risk of both developing<br />

and being negatively impacted by JET. The purpose of this<br />

study was to determine the overall incidence of JET in an<br />

infant patient cohort undergoing open cardiac surgery, to<br />

identify patient- and procedure-related factors associated<br />

with developing JET, and to assess the clinical impact of<br />

JET on patient outcomes. We performed a nested casecontrol<br />

study from the complete cohort of patients at our<br />

institution younger than 1 year of age who underwent open<br />

heart surgery between 2005 and 2010. JET patients were<br />

compared with an age matched control group undergoing<br />

open heart surgery without JET regarding potential risk<br />

factors and outcomes. The overall incidence of JET in<br />

J. D. Zampi J. E. Donohue S. Yu M. J. LaPage<br />

J. R. Charpie<br />

Division of Pediatric Cardiology, Department of Pediatrics,<br />

University of Michigan Medical School, Ann Arbor, MI, USA<br />

J. D. Zampi (&)<br />

University of Michigan Congenital <strong>Heart</strong> Center C.S. Mott<br />

Children’s Hospital, Floor 11, Room 715Z,<br />

1540 E. Hospital Drive, Ann Arbor, MI 48109-4204, USA<br />

e-mail: jzampi@med.umich.edu<br />

J. C. Hirsch<br />

Division of Pediatric Cardiac Surgery, Department of Surgery,<br />

University of Michigan Medical School, Ann Arbor, MI, USA<br />

J. G. Gurney<br />

St. Jude Children’s Research Hospital, Memphis, TN, USA<br />

D. A. <strong>Hanauer</strong><br />

Department of Pediatrics, University of Michigan Medical<br />

School, Ann Arbor, MI, USA<br />

infants after open cardiac surgery was 14.3 %. From<br />

multivariate analyses, complete repair of tetralogy of Fallot<br />

[adjusted odds ratio (AOR) 2.0, 95 % CI 1.12–3.57] and<br />

longer aortic cross clamp times (AOR 1.02, 95 % CI<br />

1.01–1.03) increased the risk of developing JET. Patients<br />

with JET had longer length of intubation, intensive care<br />

unit stays, and total length of hospitalization, and were<br />

more likely to require extracorporeal membrane oxygenation<br />

support (13 vs. 4.3 %). JET is a common postoperative<br />

arrhythmia in infants after open heart operations. Both<br />

anatomic substrate and surgical procedure contribute to the<br />

overall risk of developing JET. Developing JET is associated<br />

with worse clinical outcomes.<br />

Keywords <strong>Heart</strong> defects Congenital <strong>Tachycardia</strong><br />

<strong>Ectopic</strong> junctional<br />

Introduction<br />

Pediatric patients undergoing cardiac surgery to correct<br />

congenital heart disease (CHD) may have arrhythmias<br />

during the immediate postoperative period. <strong>Junctional</strong><br />

ectopic tachycardia (JET) is a focal tachycardia originating<br />

from the atrioventricular (AV) node or proximal His producing<br />

a normal QRS morphology tachycardia, sometimes<br />

with ventriculo-atrial dissociation. It is one of the more<br />

commonly encountered arrhythmias with an overall incidence<br />

estimated between 3.6 and 10.8 % and even as high<br />

as 21–27 % in two series [2, 3, 5, 7–9, 11, 12, 14, 15]. JET<br />

is an arrhythmia that is almost exclusively encountered<br />

during the immediate postoperative period, with the<br />

exception of the rare congenital form of JET [6]. Some of<br />

the risk factors for developing postoperative JET that<br />

have been elucidated in recent studies include young age,<br />

123


low weight, longer cardiopulmonary bypass and aortic<br />

cross clamp times, and hypothermic circulatory arrest [2, 3,<br />

7, 12, 14]. More recently, a genetic polymorphism in the<br />

angiotensin-converting enzyme gene has been found to be<br />

a possible risk factor [5]. In our institutional experience,<br />

younger patients appear to be at greater risk for developing<br />

JET, which is perhaps related to specific anatomic defects<br />

and surgical procedures. A few studies have attempted to<br />

determine if certain cardiac lesions or operations have a<br />

higher association with JET, but the data are often contradictory,<br />

likely due to single-center study design and the<br />

small amount of patients in each individual study [3, 5, 8,<br />

11, 12, 14]. What is better appreciated is that patients who<br />

develop JET have increased morbidity as assessed by<br />

longer duration of mechanical ventilation and increased<br />

intensive care unit (ICU) stay [2, 8, 12, 14] and, in one<br />

study, JET increased the risk of mortality [2]. No study has<br />

systematically examined a potential relation between JET<br />

and other well-described postoperative morbidities, such as<br />

cardiopulmonary resuscitation or the need for extracorporeal<br />

membrane oxygenation (ECMO) support. Furthermore,<br />

previous studies examining a potential relation<br />

between JET and mortality have not focused on high-risk<br />

populations, such as infants, in which the occurrence of<br />

JET may be more frequent and may have a more dramatic<br />

impact on survival. In addition, previous studies have not<br />

used well-matched controls, so there may be an underappreciated<br />

association of JET with mortality.<br />

The specific aims of this study were to estimate the<br />

incidence of postoperative JET focusing on an infant<br />

patient population and in this group to identify patient- and<br />

procedure-related risk factors for developing JET. Furthermore,<br />

this study aimed to assess if an association<br />

between JET and postoperative morbidity and mortality in<br />

infants after cardiac surgery exists and, if so, to what<br />

extent. <strong>Infant</strong>s \1 year old were studied because JET is<br />

more common in this age group, and the clinical implications<br />

of JET are potentially greater in this population based<br />

on previous studies and our own institutional experience<br />

[2, 3, 7, 12, 14].<br />

Methods<br />

<strong>After</strong> obtaining approval from our Institutional Review<br />

Board, using our internal surgical database, all patients<br />

who underwent cardiopulmonary bypass surgery at The<br />

University of Michigan Congenital <strong>Heart</strong> Center between<br />

July 1, 2005, and June 30, 2010, and who were \1 year of<br />

age at the time of surgery were identified. To identify<br />

patients who developed JET after surgery, three overlapping<br />

databases were queried, and an electronic medical<br />

123<br />

Pediatr Cardiol<br />

record search engine was used. The databases used were<br />

our internal surgical database (LUMEDX; LUMEDX<br />

Corporation, Oakland, CA), VPS (a commercially available<br />

database cooperative formerly known as the Virtual<br />

PICU System; VPS, LLC; Alexandria, VA), and our<br />

institution’s pharmacy database (WORx; Mediware Information<br />

Systems, Lenexa, KS). The internal surgical and<br />

VPS databases were queried for arrhythmias. The pharmacy<br />

database was queried for all patients who were prescribed<br />

amiodarone, either as a bolus or continuous<br />

infusion, during admission to our pediatric cardiothoracic<br />

ICU. Amiodarone was chosen because it is the treatment<br />

medication most commonly used for JET in our pediatric<br />

cardiothoracic ICU. Next, all free-text documents of<br />

patients’ medical records in our health system were<br />

reviewed by way of a back-end database search to identify<br />

documents that mentioned the terms ‘‘junctional ectopic,’’<br />

‘‘accelerated junctional,’’ or ‘‘JET.’’ These patients were<br />

then cross-matched to the list of patients obtained from the<br />

internal surgical database who underwent surgery during<br />

the dates of our study. The Electronic Medical Record<br />

Search Engine was then used to conduct a chart review of<br />

all cases to ensure that the cases were valid and met our<br />

inclusion criteria. Among the remaining valid patients, a<br />

full chart review was conducted to abstract other clinically<br />

relevant outcomes data.<br />

JET was defined, using our institutional consensus definition,<br />

as a narrow QRS morphology tachycardia with<br />

atrio-ventricular dissociation or ventriculo-atrial association<br />

with retrograde P waves as determine either by review<br />

of atrial and ventricular electrograms on telemetry at the<br />

bedside, examining the atrial pressure tracings from central<br />

lines, or by obtaining a 12-lead electrocardiogram with an<br />

atrial electrogram. Given the retrospective nature of this<br />

study, to be diagnosed with JET, there needed to be documentation<br />

of the arrhythmia in the medical record made<br />

by a pediatric cardiac intensivist during the patient’s<br />

pediatric cardiothoracic ICU stay. Patients identified as<br />

having JET by any other person or means were not considered<br />

to have JET for this study. The only exclusion<br />

criterion was a documented preoperative arrhythmia<br />

requiring either antiarrhythmic medications or placement<br />

of a pacemaker before or at the time of surgery.<br />

<strong>After</strong> identifying the patients who developed JET during<br />

the postoperative period, we employed a nested case-control<br />

study design to analyze potential risk factors for JET<br />

and clinical outcomes. We randomly selected an equivalent<br />

number of control subjects (those who did not develop JET<br />

during their ICU stay) from the larger cohort of infants who<br />

underwent cardiopulmonary surgery during the 5-year time<br />

frame of our study. Because all patients were \1 year of<br />

age at the time of surgery, the cases and controls were agematched.<br />

Multiple patients had more than one surgery


Pediatr Cardiol<br />

before 1 year of age, so only the data for the surgery in<br />

which JET first occurred was analyzed. For control patients<br />

with more than one surgery, just as the individual patient<br />

was selected randomly, the surgery that was used for<br />

analysis was also selected randomly.<br />

The primary outcome measure of this study was the<br />

incidence of JET. Secondary outcomes included (1)<br />

potential patient- and procedure-related risk factors for<br />

developing JET (e.g., patient demographics, age, weight<br />

and body surface area, cardiac diagnosis, cardiac operation<br />

performed and surgical factors, including length of cardiopulmonary<br />

bypass, aortic cross clamp duration, and<br />

whether circulatory arrest was performed), and (2) the<br />

potential relationship between JET and patient post-operative<br />

outcomes (e.g., length of initial intubation, ICU<br />

length of stay, hospital length of stay, cardiac arrest, need<br />

for ECMO support, and death including while in the ICU,<br />

prior to hospital discharge, and within 30 days of hospital<br />

discharge). These secondary outcomes were compared<br />

between the cases and the randomly selected controls.<br />

Because of the heterogeneity of specific cardiac diagnoses<br />

in our patients, patients were grouped into 1 of 13 diagnostic<br />

categories a priori, which attempted to take into<br />

account both the cardiac anatomy and physiology as well<br />

as the surgical repair required.<br />

Length of ICU stay was defined as the date of surgery to<br />

the date of transfer out of the ICU. Duration of intubation<br />

was defined as the date of surgery to the date of first<br />

extubation. Cardiac arrest was defined as the need for chest<br />

compressions and resuscitation medications. Only outcome<br />

measures that occurred while the patient was in the ICU<br />

were analyzed except for death (30-day mortality from<br />

hospital discharge).<br />

Table 1 Incidence of JET in<br />

infants after surgery for CHD<br />

PAPVR partial anomalous<br />

pulmonary venous return,<br />

TAPVR total anomalous<br />

pulmonary venous return<br />

Data were presented as frequencies with percentage or<br />

median with interquartile range (IQR). Group comparisons<br />

on patient- and procedure-related characteristics, as well as<br />

outcomes, were made using chi-square test for categorical<br />

variables and Wilcoxon rank sum test for continuous<br />

variables. Unadjusted and adjusted odds ratio (AOR) and<br />

their 95 % confidence intervals (CIs) were estimated using<br />

univariate and multivariate logistic regression, respectively,<br />

to examine the association between possible risk<br />

factors and developing JET. To avoid multicollinearity in<br />

the multivariate analysis, we evaluated the correlation<br />

matrix of all continuous variables and excluded variables<br />

with a high correlation (r [ 0.8). Similarly, for the diagnosis<br />

groups with a greater incidence than the total incidence<br />

of JET in the overall cohort, separate logistic<br />

regression was used to evaluate the relation of each diagnosis<br />

group with JET. All analyses were performed using<br />

SAS version 9.2 software (SAS, Cary, NC), and statistical<br />

significance was set at p \ 0.05 using two-sided tests.<br />

Results<br />

Characteristics No. of patients<br />

with JET<br />

There were 1,134 patients[1 year of age who underwent a<br />

total of 1,451 cardiopulmonary bypass surgeries between<br />

July 1, 2005, and June 30, 2010. Four patients were<br />

excluded from analysis due to pacemaker implantation<br />

secondary to congenital complete heart block (n = 3) and<br />

preoperative ventricular ectopy on propranolol therapy<br />

(n = 1). One hundred sixty-two patients were determined<br />

to have had JET during the postoperative period. Thus, the<br />

total incidence of JET in infants undergoing cardiopulmonary<br />

bypass surgery was 14.3 % (Table 1).<br />

No. of patients in<br />

diagnostic class<br />

Incidence<br />

(%)<br />

Overall<br />

Diagnosis class<br />

162 1,130 14.3<br />

Single ventricle 27 283 9.5<br />

TOF and variants 42 208 20.2<br />

VSD 15 135 11.1<br />

Aortic arch repair with VSD closure 15 75 20.0<br />

Aortic arch repair without VSD closure 3 49 6.1<br />

dTGA with VSD closure 20 78 25.6<br />

dTGA without VSD closure 2 48 4.2<br />

ASD (isolated) 1 19 5.3<br />

Primary AV valve (AV) 1 14 7.1<br />

Primary semilunar valve anomaly 3 33 9.1<br />

AVSD 23 136 20.4<br />

Anomalous pulmonary venous return 6 36 16.7<br />

Other 4 39 10.3<br />

123


Regarding risk factors for developing JET, there were no<br />

statistical differences in race, sex, previous bypass surgery,<br />

weight, or BSA between the cases and age-matched controls,<br />

and the use of circulatory arrest was also not associated<br />

with JET (Table 2). Risk factors for JET found on<br />

univariate analysis were longer cardiopulmonary bypass<br />

(p = 0.03) and aortic cross-clamp times (p = 0.0002)<br />

(Tables 2, 3). However, only longer aortic cross-clamp<br />

time remained an independent risk factor associated with<br />

JET on multivariate analysis [AOR 1.02, 95 % CI<br />

1.01–1.03, p = 0.001 (Table 3)]. This indicated that the<br />

odds of having JET increase by 2 % for every 1-min<br />

increase in aortic cross-clamp time while controlling for<br />

other possible risk factors. Five congenital heart lesions<br />

had higher individual incidences of JET compared with the<br />

Table 2 Patient- and procedure-related characteristics in infants with JET after surgery for CHD<br />

Pediatr Cardiol<br />

overall cohort and accounted for 65 % of the patients with<br />

JET. These lesions included tetralogy of Fallot (TOF) and<br />

variants (20.2 %), aortic arch repair with ventricular septal<br />

defect (VSD) closure (20 %), d-transposition of the great<br />

arteries (dTGA) with VSD closure (25.6 %), atrioventricular<br />

septal defect (AVSD) (20.4 %), and anomalous pulmonary<br />

venous return (16.7 %) (Table 1). However, only<br />

patients who underwent complete repair of TOF were at<br />

greater risk of developing JET on both univariate and<br />

multivariate analysis (Table 4).<br />

Compared with age-matched controls, patients with JET<br />

had longer length of intubation (4 vs. 3 days), length of<br />

ICU stay (7 vs. 5 days), and length of hospitalization (18<br />

vs. 13 days) (all p = \0.0001). In addition, JET patients<br />

had a greater chance of requiring ECMO support during<br />

Characteristics All JET (n = 162) Control (n = 162) p*<br />

Male sex 180 (55.6) a<br />

Race<br />

85 (52.5) 95 (58.6) 0.26<br />

White 214 (66.1) 110 (67.9) 104 (64.2) 0.74<br />

African American 29 (9.0) 13 (8.0) 16 (9.9)<br />

Other/unknown 81 (25.0) 39 (24.1) 42 (25.9)<br />

Age at surgery (days)<br />

Diagnosis<br />

64.5 (9.0–137.5) 65.5 (11.0–129.0) 61.5 (8.0–142.0) 0.63<br />

Single ventricle 62 (19.1) 27 (43.5) 35 (56.5) N/A<br />

TOF and variants 74 (22.8) 42 (56.8) 32 (43.2)<br />

VSD 29 (9.0) 15 (51.7) 14 (48.3)<br />

Aortic arch repair with VSD closure 29 (9.0) 15 (51.7) 14 (48.3)<br />

Aortic arch repair without VSD closure 12 (3.7) 3 (25.0) 9 (75.0)<br />

dTGA with VSD closure 32 (9.9) 20 (62.5) 12 (37.5)<br />

dTGA without VSD closure 14 (4.3) 2 (14.3) 12 (85.7)<br />

ASD (isolated) 3 (0.9) 1 (33.3) 2 (66.7)<br />

Primary AV valve anomaly 3 (0.9) 1 (33.3) 2 (66.7)<br />

Primary semilunar valve anomaly 7 (2.2) 3 (42.9) 4 (57.1)<br />

AVSD 36 (11.1) 23 (63.9) 13 (36.1)<br />

Anomalous pulmonary venous return 13 (4.0) 6 (46.1) 7 (53.9)<br />

Other 10 (3.1) 4 (40.0) 6 (60.0)<br />

Previous surgery requiring bypass 34 (10.5) 19 (11.7) 15 (9.3) 0.47<br />

Weight at surgery (kg) 4.1 (3.3–5.6) 4.0 (3.3–5.7) 4.2 (3.2–5.6) 0.92<br />

Length at surgery (cm) 54.1 (50.0–61.4) 54.1 (50.0–61.0) 54.1 (50.0–62.0) 0.83<br />

Body mass index at surgery (kg/m 2 ) 13.7 (12.3–15.6) 13.9 (12.3–15.7) 13.6 (12.3–15.2) 0.38<br />

BSA (m 2 ) 0.24 (0.21–0.31) 0.24 (0.21–0.31) 0.25 (0.21–0.31) 0.89<br />

ACC time (min) 46 (30–71) 51 (35–78) 40 (26–63) 0.001<br />

CPB time (min) 99 (75–136) 106 (80–145) 92 (70–130) 0.01<br />

Hypothermic cardiac arrest 84 (25.9) 36 (22.2) 48 (29.6) 0.14<br />

N/A not applicable, ACC aortic cross-clamp, CPB cardiopulmonary bypass<br />

a<br />

Data are presented as N (%) for categorical variables and median (IQR) for continuous variables<br />

* p-value from chi-square test for categorical variables and from Wilcoxon rank sum test for continuous variables based on comparison of each<br />

characteristic between patients with and without JET<br />

123


Pediatr Cardiol<br />

Table 3 Odds of developing JET after surgery for CHD<br />

Characteristics Unadjusted Adjusted a<br />

OR 95 % CI of OR<br />

(lower, upper)<br />

their ICU stay (13 vs. 4.3 %). There was no difference in<br />

need for cardiopulmonary resuscitation (CPR) (11.7 vs.<br />

7.4 %) or 30-day mortality (13 vs. 11.1 %) between<br />

patients who developed JET compared with control subjects<br />

(Table 5).<br />

p* AOR 95 % CI of AOR<br />

(lower, upper)<br />

Sex<br />

Male 0.78 0.50, 1.21 0.26 0.77 0.48, 1.22 0.27<br />

Female<br />

Age at surgery (days)<br />

Ref Ref<br />

B30 0.84 0.54, 1.30 0.43 0.87 0.45, 1.68 0.69<br />

[30 Ref Ref<br />

Weight at surgery (kg) 1.01 0.88, 1.15 0.93 0.92 0.77, 1.10 0.35<br />

Length at surgery (cm) 1.00 0.97, 1.02 0.72 N/A<br />

BMI at surgery (kg/m 2 ) 1.02 0.94, 1.11 0.63<br />

BSA at surgery (m 2 ) 0.84 0.03, 23.0 0.92<br />

ACC time (min) 1.01 1.005, 1.02 0.0002 1.02 1.01, 1.03 0.001<br />

CPB time (min)<br />

Hypothermic cardiac arrest<br />

1.004 1.00, 1.01 0.03 0.997 0.99, 1.003 0.31<br />

Yes 0.68 0.41, 1.13 0.14 0.55 0.30, 1.03 0.06<br />

No Ref Ref<br />

OR (unadjusted) odds ratio, Ref reference category, N/A not applicable, ACC aortic cross-clamp, CPB cardiopulmonary bypass, BMI body mass<br />

index<br />

a<br />

Excluded continuous variables involved in multicollinearity with a high correlation (correlation coefficient r [ 0.8)<br />

* p-value from (unadjusted) logistic regression<br />

** p-value from a multivariate logistic regression<br />

Table 4 Association between diagnosis and risk of JET after surgery for CHD<br />

Diagnosis Unadjusted Adjusted<br />

OR 95 % CI of OR<br />

(lower, upper)<br />

Discussion<br />

p c<br />

AOR 95 % CI of AOR<br />

(lower, upper)<br />

TOF and variants 1.42 0.84, 2.40 0.19 1.63 0.95, 2.80 0.08<br />

VSD 1.08 0.50, 2.31 0.85 1.27 0.57, 2.81 0.55<br />

Aortic arch repair with VSD closure 1.08 0.50, 2.31 0.85 0.91 0.42, 1.99 0.81<br />

dTGA with VSD closure 1.76 0.83, 3.73 0.14 1.05 0.45, 2.49 0.91<br />

AVSD 1.90 0.93, 3.89 0.08 1.38 0.65, 2.96 0.40<br />

Arterial arch repair or dTGA with VSD closure a<br />

5.65 1.88, 16.97 0.001 2.94 0.89, 9.67 0.08<br />

TOF complete repair b<br />

1.92 1.08, 3.39 0.02 2.00 1.12, 3.57 0.02<br />

OR (unadjusted) odds ratio, CI confidence interval<br />

a<br />

Reference group comprised patients undergoing aortic arch repair without VSD closure or dTGA without VSD closure [thus, a comparison was<br />

made with 61 patients diagnosed by aortic arch repair with VSD closure or dTGA with VSD closure (35 in JET group and 26 in control group)<br />

versus 26 patients diagnosed by aortic arch repair without VSD closure or dTGA without VSD closure (5 in JET group and 21 in control group)]<br />

b<br />

Diagnosed with TOF and variants, and surgery performed was complete repair<br />

* p-value from (unadjusted) logistic regression<br />

** p-value from a multivariate logistic regression controlling for aortic cross-clamp time and cardiopulmonary bypass time (which were found to<br />

be significant predictors from univariate analyses)<br />

p**<br />

In this nested case-control study, we found that the overall<br />

incidence of JET in infants undergoing cardiac surgery<br />

with cardiopulmonary bypass at a tertiary care referral<br />

p d<br />

123


Table 5 Outcomes in infants with JET after surgery for CHD<br />

Outcomes All JET (n = 162) Control (n = 162) p*<br />

Length of initial intubation (d) 4 (2–6) a<br />

4 (3–8) 3 (2–5) \0.0001<br />

ICU length of stay (d) 6 (4–10) 7 (5–12) 5 (3–9) \0.0001<br />

Hospital length of stay (d) 15 (9–26) 18 (11–31) 13 (7–21) \0.0001<br />

Cardiac arrest requiring CPR 31 (9.6) 19 (11.7) 12 (7.4) 0.19<br />

Need for ECMO 28 (8.6) 21 (13.0) 7 (4.3) 0.01<br />

Length of time on ECMO (d) 7 (4.5–12) 7 (5–14) 5 (1–11) 0.25<br />

Death during ICU stay 26 (8.0) 12 (7.4) 14 (8.6) 0.68<br />

Hospital death 36 (11.1) 20 (12.4) 16 (9.9) 0.48<br />

Died in hospital or within 30 days of hospital discharge 39 (12.0) 21 (13.0) 18 (11.1) 0.61<br />

Current patient status dead 49 (15.1) 25 (15.4) 24 (14.8) 0.88<br />

CPR cardiopulmonary resuscitation<br />

a<br />

Data are presented as N (%) for categorical variables and median (IQR) for continuous variables<br />

* p-value from chi-square test for categorical variables and from Wilcoxon rank sum test for continuous variables on comparison of each<br />

characteristic between patients with/without JET<br />

center was 14.3 %. Only patients with TOF and TOF<br />

variants undergoing a complete repair and longer aortic<br />

cross-clamp times were found to be significant independent<br />

risk factors for JET. Patients with JET had longer length of<br />

intubation, longer ICU stay, and longer total length of<br />

hospitalization and were more likely to require ECMO<br />

compared with infants who did not develop JET. There was<br />

no statistical difference in perioperative mortality between<br />

the JET and control subjects.<br />

With respect to risk factors for JET, the only diagnosis<br />

significantly associated with JET in our study was complete<br />

repair of TOF. This is in accordance with what previous<br />

studies have found [7, 8, 11]. However, we did not<br />

see the same strong association of JET with some other<br />

cardiac lesions, such as anomalous pulmonary venous<br />

return, or cardiac surgeries, such as arterial switch surgery,<br />

which have been previously published [3, 7, 11, 14].<br />

However, in all of these studies, the total patient population<br />

studied was well less than half of that in our study and<br />

included much older patients. Furthermore, whereas we<br />

had 162 cases of JET, the other studies had far fewer cases<br />

(33, 57, and 27, respectively). Therefore, the differences<br />

found in the association of certain cardiac lesions with JET<br />

are likely related to the combination of our more homogenous<br />

patient population (i.e., \1 year of age) and our<br />

relatively large number of patients in the study.<br />

Similarly, our incidence of JET is different than that in<br />

previous studies because we chose to focus on a more<br />

homogeneous population of infants\1 year old who are at<br />

a greater risk for worse outcomes related to JET [2, 3, 7,<br />

11, 14]. Although there is the potential that the results<br />

found in previous studies differed from our results due to<br />

differing study eras, we believe it is unlikely. The previous<br />

studies were completed on patients who underwent surgery<br />

123<br />

Pediatr Cardiol<br />

between 1997 and 2005 compared with our more contemporary<br />

study group between 2005 and 2010. We do not<br />

believe the surgical repair of the majority of cardiac lesions<br />

discussed has changed significantly during the last<br />

10–15 years. Furthermore, even the previous studies<br />

completed within 1–2 years of each other have disparate<br />

conclusions regarding incidence and effect of cardiac<br />

diagnosis on the risk of developing JET.<br />

Although aortic arch repair and dTGA were not found to<br />

be associated with JET, when VSD closure was a part of<br />

the surgery, the likelihood that JET occurred was 5.65<br />

times greater compared with VSD closure not being performed<br />

(Table 4). Given this and the finding that TOF<br />

repair presents the highest occurrence of JET, one might<br />

surmise that VSD closure places the patient at risk for JET.<br />

This same conclusion has been drawn in previous studies<br />

[8, 12]. However, if this were the case, we would have<br />

expected to see patients with isolated VSD to have a<br />

greater rate of JET, which we did not find. Thus, developing<br />

JET is likely more complex than a purely surgical or<br />

purely anatomic problem, perhaps resulting from an<br />

interaction between the two. There may also be a genetic<br />

propensity to developing postoperative arrhythmias such as<br />

JET. Recently, a common genetic polymorphism in the<br />

angiotensin-converting enzyme (ACE) gene was found to<br />

have an association with JET independent of several of the<br />

risk factors identified in our study [5]. As more is learned<br />

about the genetic basis for specific conditions, the complex<br />

interplay of various patient-related ‘‘risk factors’’ may be<br />

better elucidated, and further studies with these patient<br />

factors might help to assess risk and provide for more<br />

targeted prevention and treatment of JET.<br />

The only other independent risk factor significantly<br />

associated with JET in our study was longer aortic


Pediatr Cardiol<br />

cross-clamp time, which has also been reported by other<br />

studies [3, 14]. We believe this could be explained by the<br />

relation between low cardiac output syndrome (LCOS) and<br />

JET. Recent studies have shown a relationship between<br />

LCOS and increased patient morbidity and mortality, and<br />

others have shown a possible relationship between LCOS<br />

and prolonged aortic cross-clamp time [1, 4, 13]. Although<br />

no study that we are aware of has defined whether JET is a<br />

risk factor versus outcome of LCOS, our study, which<br />

showed an association between prolonged aortic crossclamp<br />

time and JET as well as JET and poorer patient outcomes,<br />

does support the presence of a relationship between<br />

JET and LCOS. The study by Hoffman et al. [11] showed<br />

that dopamine administration was an independent predictor<br />

of developing JET and concluded that JET might be secondary<br />

to the catecholaminergic properties of dopamine,<br />

which is why milrinone administration was not a predictor of<br />

JET. An alternate explanation for their findings is that<br />

patients with LCOS after surgery require more vasoactive<br />

support, such as dopamine, and so it is the relationship<br />

between LCOS and JET, rather than a direct relationship<br />

between dopamine and JET, which is important. Again, JET<br />

may only be an outcome of LCOS and have no causative<br />

relationship, but as future studies attempt to elucidate the<br />

clinical factors that define LCOS, the occurrence of<br />

arrhythmias such as JET might become a part of that clinical<br />

diagnosis because JET primarily occurs during the postoperative<br />

period and, as we have shown in this study, is more<br />

commonly seen after the repair of certain types of cardiac<br />

lesions and with longer aortic cross-clamp times.<br />

As was found in other studies, developing JET is associated<br />

with worse clinical outcomes, specifically length of<br />

intubation and length of ICU stay. We also found that JET<br />

is associated with longer total hospitalization course.<br />

Because a longer length of intubation would rationally<br />

lengthen both ICU stay and therefore total duration of<br />

hospitalization, the key outcome affected may be duration<br />

of intubation. Because patients are often not extubated until<br />

they are clinically stable, it is plausible that the clinical<br />

instability caused by JET prolongs intubation course.<br />

Future studies that look at other more subtle measures of<br />

clinical instability, such as vasoactive inotrope scores,<br />

might be helpful to delineate this association. Furthermore,<br />

whereas patient postoperative outcomes are likely related<br />

to a host of factors, further studies aimed to determine a<br />

causative effect of JET on postoperative clinical outcomes<br />

is necessary to build on the associations found in this study.<br />

We did not find an association between JET and<br />

increased mortality, and previous publications have had<br />

conflicting results regarding this association. However, we<br />

did find a significant association between JET and need for<br />

ECMO support during the postoperative period. We would<br />

have expected this to translate to an increased mortality<br />

because studies have shown a high mortality rate in<br />

patients who require ECMO support [10]. This again might<br />

come back to the relationship between JET and LCOS.<br />

Although in our series need for ECMO support did not<br />

translate to increased mortality, increased ECMO requirement<br />

likely contributes to increased morbidity because<br />

ECMO is associated with various secondary outcomes (risk<br />

of bleeding, infection, neurologic dysfunction, renal failure,<br />

etc. [10]), which we did not study. We found that<br />

patients who were placed on ECMO had prolonged ICU<br />

stays and that this was independent of developing JET.<br />

Limitations<br />

There are several limitations to this study. First, previous<br />

studies have used electrophysiologic criteria for JET and<br />

whether performed prospectively or retrospectively, none<br />

used a retrospective database approach to ascertain which<br />

patients developed JET [2, 3, 7, 11, 12, 14, 15]. This makes<br />

it difficult to compare the incidence of JET in our study<br />

with that in previous studies. Here, we used a clinical<br />

definition for JET, and because of the retrospective nature<br />

of the study, we did not have the data necessary to confirm<br />

that patients had JET based on electrocardiogram or Holter<br />

monitor data. In our institution, it is not standard of care to<br />

obtain a 12-lead electrocardiogram to document arrhythmias.<br />

It is the standard of care to obtain a 12-lead electrocardiogram<br />

on all patients during the early postoperative<br />

period, but because of the nature of JET, this electrocardiogram<br />

often does not capture patients who may have<br />

been in or will go into JET. We do not believe that this<br />

methodology is a limitation but rather an alternative and<br />

clinically important way to determine which patients<br />

developed JET.<br />

Another limitation of this study is how CHDs were<br />

grouped. This problem is not unique to this study, and<br />

classification of heart diseases can vary based on school of<br />

thought. We attempted to place patients into broad diagnostic<br />

categories that took their anatomy, physiology, and<br />

surgery into consideration, but this is not without flaw.<br />

Although this did allow us to make groups large enough for<br />

statistical analysis, it may have limited the applicability of<br />

the results to individual patients because we only determined<br />

the incidence of JET for groups of lesions and not<br />

for specific lesions. Of note, these groupings were made<br />

a priori and were not created after data collection for statistical<br />

purposes.<br />

Conclusion<br />

In infants who undergo open cardiac surgery, JET is a<br />

relatively common postoperative arrhythmia, occurring in<br />

123


14.3 % of surgeries. When it occurs, JET is associated with<br />

negative outcomes and a worse clinical course compared<br />

with patients who do not develop JET. The results of this<br />

study add to the current published data on postoperative<br />

JET in CHD for several reasons. First, by only studying<br />

infants, it focuses on the highest-risk patient population.<br />

Second, the patient sample size was larger than that of all<br />

previously reported single-center studies. And third,<br />

although it was retrospective in nature, the unique multiple<br />

database search strategy facilitated as close to complete<br />

case capture as possible in a retrospective study without<br />

confirmatory tests, such as electrocardiograms or Holter<br />

monitor recordings, available for review. The information<br />

gained from this study will allow us to design future prospective<br />

studies to better treat and/or prevent JET from<br />

occurring in the infant population. In addition, this study<br />

confirms and adds to what was known about the clinical<br />

impact of JET and thus gives insight into what outcome<br />

measures to target in assessing treatment effectiveness in<br />

the future.<br />

Acknowledgments All work was performed at the University of<br />

Michigan, Ann Arbor, MI. Financial support came from an $8000<br />

internal grant (Griese-Hutchinson-Woodson Champions for Children<br />

<strong>Heart</strong> Award).<br />

References<br />

1. Al-Sarraf N, Thalib L, Hughes A, Houlihan M, Tolan M, Young<br />

V et al (2011) Cross-clamp time is an independent predictor of<br />

mortality and morbidity in low- and high-risk cardiac patients. Int<br />

J Surg 9:104–109<br />

2. Andreasen JB, Johnsen SP, Ravn HB (2008) <strong>Junctional</strong> ectopic<br />

tachycardia after surgery for congenital heart disease in children.<br />

Intensive Care Med 34:895–902<br />

3. Batra AS, Chun DS, Johnson TR, Maldonado EM, Kashyap BA,<br />

Maiers J et al (2006) A prospective analysis of the incidence and<br />

risk factors associated with junctional ectopic tachycardia following<br />

surgery for congenital heart disease. Pediatr Cardiol<br />

27:51–55<br />

123<br />

Pediatr Cardiol<br />

4. Boeken U, Feindt P, Schurr P, Assmann A, Akhyari P, Lichtenberg<br />

A (2011) Delayed sternal closure (DSC) after cardiac surgery:<br />

outcome and prognostic markers. J Cardiac Surg 26:22–27<br />

5. Borgman KY, Smith AH, Owen JP, Fish FA, Kannankeri PJ<br />

(2011) A genetic contribution to risk for postoperative junctional<br />

ectopic tachycardia in children undergoing surgery for congenital<br />

heart disease. <strong>Heart</strong> Rhythm 8(12):1900–1904<br />

6. Collins KK, Van Hare GF, Kertesz NJ, Law IH, Bar-Cohen Y,<br />

Dubin AM et al (2009) Pediatric nonpost-operative junctional<br />

ectopic tachycardia medical management and interventional<br />

therapies. J Am Coll Cardiol 53:690–697<br />

7. Delaney JW, Moltedo JM, Dziura JD, Kopf GS, Snyder CS<br />

(2006) Early postoperative arrhythmias after pediatric cardiac<br />

surgery. J Thorac Cardiovasc Surg 131:1296–1300<br />

8. Dodge-Khatami A, Miller OI, Anderson RH, Gil-Jaurena JM,<br />

Goldman AP, de Leval MR (2002) Impact of junctional ectopic<br />

tachycardia on postoperative morbidity following repair of congenital<br />

heart defects. Eur J Cardiothorac Surg 21:255–259<br />

9. Dorman BH, Sade RM, Burnette JS, Wiles HB, Pinosky ML,<br />

Reeves ST et al (2000) Magnesium supplementation in the prevention<br />

of arrhythmias in pediatric patients undergoing surgery<br />

for congenital heart defects. Am <strong>Heart</strong> J 139:522–528<br />

10. Hei F, Lou S, Li J, Yu K, Liu J, Feng Z et al (2011) Five-year<br />

results of 121 consecutive patients treated with extracorporeal<br />

membrane oxygenation at Fu Wai Hospital. Artif Organs<br />

35:572–578<br />

11. Hoffman TM, Bush DM, Wernovsky G, Cohen MI, Wieand TS,<br />

Gaynor JW et al (2002) Postoperative junctional ectopic tachycardia<br />

in children: incidence, risk factors, and treatment. Ann<br />

Thorac Surg 74:1607–1611<br />

12. Mildh L, Hiippala A, Rautiainen P, Pettila V, Sairanen H,<br />

Happonen JM (2010) <strong>Junctional</strong> ectopic tachycardia after surgery<br />

for congenital heart disease: incidence, risk factors and outcome.<br />

Eur J Cardiothorac Surg 39:75–80<br />

13. Pagowska-Klimek I, Pychynska-Pokorska M, Krajewski W, Moll<br />

JJ (2011) Predictors of long intensive care unit stay following<br />

cardiac surgery in children. Eur J Cardiothorac Surg 40:179–184<br />

14. Rekawek J, Kansy A, Miszczak-Knecht M, Manowska M,<br />

Bieganowska K, Brzezinska-Paszke M et al (2007) Risk factors<br />

for cardiac arrhythmias in children with congenital heart disease<br />

after surgical intervention in the early postoperative period.<br />

J Thorac Cardiovasc Surg 133:900–904<br />

15. Yildirim SV, Tokel K, Saygili B, Varan B (2008) The incidence<br />

and risk factors of arrhythmias in the early period after cardiac<br />

surgery in pediatric patients. Turk J Pediatr 50:549–553

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