Association Between Left Ventricular Global Longitudinal...
Transcript of Association Between Left Ventricular Global Longitudinal...
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Association Between Left Ventricular Global Longitudinal Strain and
Adverse Left Ventricular Dilatation After ST-segment Elevation
Myocardial Infarction
Joyce et al: GLS and LV Dilatation after STEMI
Emer Joyce1, MB BCh BAO, MRCPI; Georgette E. Hoogslag1, MSc;
Darryl P. Leong1,2, MBBS, PhD; Philippe Debonnaire1, MD;
Spyridon Katsanos1, MD; Helèn Boden1, MD; Martin J. Schalij1, MD, PhD;
Nina Ajmone Marsan1, MD, PhD; Jeroen J. Bax1, MD, PhD;
Victoria Delgado1, MD, PhD
1Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands;
2Discipline of Medicine, University of Adelaide and Flinders University, Adelaide, Australia.
Correspondence: Victoria Delgado, MD, PhD Dept. of Cardiology, Leiden University Medical Center Albinusdreef 2, 2333 ZA Leiden, the Netherlands Phone: +31 71 526 2020, Fax: +31 71 526 6809 Email address: [email protected]
DOI: 10.1161/CIRCIMAGING.113.000982
Journal Subject Codes: [31] Echocardiography; [4] Acute myocardial infarction; [115]
Remodeling
Cardiology, Leiden University Medical Center, Leiden, the Neth
edicine, University of Adelaide and Flinders University, Adelaid
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Abstract
Background—Myocardial infarct size is a major determinant of left ventricular (LV)
remodeling after ST-segment elevation myocardial infarction (STEMI). We evaluated
whether LV global longitudinal strain (GLS), proposed as a novel marker of infarct size, is
associated with 3- and 6-month LV dilatation after STEMI.
Methods and Results—In first STEMI patients treated with primary percutaneous coronary
intervention, baseline LVGLS was measured with 2-dimensional speckle-tracking
echocardiography. Patients were dichotomized according to median value. The independent
relation between GLS groups and LV end-diastolic volume (EDV) at 3- and 6-month
(adjusted for clinical and echocardiographic variables) was assessed. The final study
population comprised 1041 patients (60±12 years, 76% male). Median LVGLS was -15.0%.
Patients with baseline LVGLS >-15.0% exhibited greater LV dilatation at 3- and 6-months
compared to patients with GLS -15.0% (LVEDV 123 44 vs. 106 36ml and 121 43 vs.
102 34ml respectively; global group-time interaction p<0.001). This association retained the
same statistical significance after adjustment for various relevant demographic, clinical and
echocardiographic characteristics. Furthermore, net reclassification improvement index
demonstrated significant incremental value of LVGLS for prediction of LVEDV increase
(0.14 (95% CI 0.00034 - 0.29), p=0.04).
Conclusions—LVGLS prior to discharge after STEMI is independently associated with LV
dilatation at follow-up.
Key Words: echocardiography; global longitudinal strain; acute myocardial infarction; left
ventricular remodeling; infarct size
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Myocardial infarct size is a major determinant of subsequent left ventricular (LV) remodeling
and dysfunction, both strong predictors of poor outcomes after ST-segment myocardial
infarction (STEMI).1-3 Assessment of infarct size can be achieved by several methods
including quantification of cardiac biomarkers, 2-dimensional (2D) echocardiography
estimation of LV ejection fraction (EF) and wall motion score index (WMSI) and contrast-
enhanced magnetic resonance imaging (CE-MRI). Although measurement of creatinine
kinase (CK) or troponin T (TnT) levels is widely available, their accuracy to predict LV
remodeling is modest.4, 5 Alternatively, CE-MRI can accurately quantify the extent of
myocardial scarring after myocardial infarction and has become the new gold standard for
infarct size assessment in many randomized clinical trials. However, this imaging technique
is not available at the bedside and may not be feasible in some patients. In contrast,
echocardiography is widely available in the acute setting and thus has become the imaging
technique of first choice for risk stratification after myocardial infarction. LVEF and WMSI
measured early after STEMI are valid surrogates of infarct size and have become established
predictors of LV remodeling and clinical outcome.2, 6 However, several limitations exist in
the quantification of these parameters by 2D echocardiography, including the assumption of
symmetric LV geometry, intra- and inter-observer variability and, in the case of WMSI, the
requirement for expert observers.
Novel echocardiographic imaging techniques such as speckle-tracking strain imaging provide
information on myocardial tissue function which is incremental to LVEF and WMSI to
predict LV functional recovery and clinical outcome after STEMI.7, 8 LV global longitudinal
strain (GLS) measurement after STEMI has also demonstrated specific benefit over LVEF in
the evaluation of the extent of post-STEMI LV myocardial injury.9, 10 However, despite being
proposed as a novel marker of infarct size, few studies have specifically investigated the
relationship between baseline LVGLS and LV remodeling in the contemporary post-STEMI
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population. The aim of the current evaluation was to investigate whether LVGLS
measurement prior to discharge predicts LV dilatation at 3- and 6-month post-infarction in a
large contemporary STEMI population.
Methods
Patient population
Patients admitted with a first STEMI treated with primary percutaneous coronary intervention
(PCI) from February 2004 to December 2008 and included in an ongoing registry were
evaluated.11 All patients were treated according to the institutional MISSION! protocol based
on the recent guidelines.12, 13 This clinical framework includes optimal guidelines-based
medical therapy, 2D echocardiography performed within 48 hours after primary PCI and
standardized outpatient follow-up. Baseline 2D echocardiography was used to assess LV
function after STEMI with traditional parameters (LV volume based indices and WMSI).
Speckle-tracking analysis was used to calculate LVGLS at baseline and patients were divided
into 2 groups based on the median value. 2D echocardiography was repeated at 3- and 6-
month follow-up and the independent association between LVGLS groups and increase in
LV end-diastolic volume (EDV) was assessed. Patients who died during index hospitalisation
or who were in cardiogenic shock requiring inotropic or mechanical circulatory support or in
atrial fibrillation at time of baseline echocardiography were excluded. Finally, patients with
reinfarction prior to 6-month echocardiography were also excluded.
Clinical data was prospectively collected in the departmental Cardiology Information System
(EPD-Vision®, Leiden University Medical Center) and retrospectively analysed. For this
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retrospective analysis of clinically acquired data, the Institutional Review Board waived the
need of patient written informed consent.
2D transthoracic echocardiography
Patients were imaged in the left lateral decubitus position using a commercially available
system (Vivid 7, GE Healthcare, Horten, Norway) equipped with a 3.5-MHz transducer.
Analysis of echocardiographic images was performed offline using EchoPAC version 11.0.0
software (GE Healthcare). LV end-systolic volume (LVESV), LVEDV and LVEF were
quantified at baseline and at 3 and 6-months follow-up using the Simpson’s biplane
technique.14 The intra- and interobserver agreement for assessment of LVEDV at our
laboratory has been previously reported as 93% and 92% respectively.15 Qualitative
assessment of regional wall motion was performed for each patient by dividing the LV into
16 segments. Each segment was then scored individually based on its motion and systolic
thickening (1=normokinesis, 2=hypokinesis, 3=akinesis, 4=dyskinesis) and WMSI was
calculated as the sum of the segment scores divided by the number of segments scored.14
Severity of mitral regurgitation (MR) was graded according to current recommendations.16
Diastolic function was assessed according to standard recommendations.17 Left atrial volume
was evaluated with the biplane Simpson’s technique and indexed to body surface area
(LAVI).14
Global longitudinal strain analysis
LVGLS was quantified from the apical 4-, 2- and 3-chamber views stored as digital cine-
loops and processed offline using commercially available speckle-tracking analysis software
(EchoPac 112.0.1, GE Medical Systems, Horten, Norway). Images were recorded with frame
rates >40 frames per second to ensure reliable analysis by the software. The end-systolic
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frame was defined in the apical long-axis view by marking the closure of the aortic valve.
Following this, the LV endocardial border was traced at end systole in all 3 apical views and
the automatically created region of interest was manually adjusted to the thickness of the
myocardium. Tracking quality was assessed in all segments and if tracking was of poor
quality segments were discarded. LVGLS was provided by the software as the average value
of the peak systolic longitudinal strain of the 3 apical views, using a 17-segment model, in a
bull’s-eye plot (Figure 1). As previously reported, the intra- and interobserver variability for
the measurement of LVGLS in our institution is 0.1±2.2% and 0.2±0.8% respectively.18
Statistical analysis
Continuous, normally distributed variables are presented as mean and standard deviation
(SD) or standard error (SE) as appropriate. Non-normally distributed data are presented as
median and interquartile range. Categorical variables are presented as frequencies and
percentages. The total population was divided into 2 groups based on the median value of
LVGLS. Continuous variables were compared between the 2 groups using Student-t test,
Mann Whitney U test or X2 test as appropriate.
The primary modeling approach was linear mixed effects model analysis with LVEDV as the
dependent variable and time (0, 3- and 6-month) as the principal fixed effect. The main
predictor variable of interest was baseline LVGLS. Of note, missing data points did not
exclude subjects from the analysis, as inherent in the mixed modeling analysis structure. To
determine whether baseline LVGLS was associated with subsequent change in LVEDV, it
was modelled in an interaction term with time. If this group-time interaction term was
significant, it indicated a time-dependent relationship between baseline GLS and LVEDV.
Post hoc testing was then performed to determine the time points at which LVEDV differed
between the LVGLS groups. Other important and potentially confounding baseline clinical
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and echocardiographic predictors known to influence outcome and/or LV systolic function
after STEMI were similarly tested for their ability to predict change in LVEDV over time.
The effect of baseline LVGLS on change in LVEDV was also adjusted for these parameters.
Additionally, in order to evaluate the incremental value of LVGLS over clinical and
conventional echocardiographic variables in predicting LV dilatation following STEMI,
likelihood ratio test and net reclassification improvement (NRI) index were performed.19 NRI
was used to evaluate the incremental value of baseline LVGLS in reclassifying the risk of
individuals developing 20% increase in LVEDV 6-month post-STEMI.20 To assess
robustness of our initial model, sensitivity analysis was performed excluding those patients
who had died and/or those did not have either 3- or 6-month or both echocardiographic
datasets available for the initial analysis.
All statistical tests were two-sided, and a p value of <0.05 was considered statistically
significant. Statistical analysis was performed using STATA version 11 (STATA Corp.,
College Station, Texas). The authors had full access to the data and take responsibility for its
integrity. All authors have read and agreed to the manuscript as written.
Results
Baseline characteristics
Of 1245 patients initially evaluated, 102 (8%) were excluded due to previous myocardial
infarction. Twenty-two (2%) patients died during index hospitalisation. A further 30 patients
were excluded due to cardiogenic shock (n=10, 1%) or atrial fibrillation at time of baseline
echocardiography (n=20, 2%). Of the remaining 1091 patients, baseline LVGLS
measurement was not possible due to inadequate image quality and/or too low frame rate in
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23 patients (2%). Reinfarction prior to 6-months had subsequently occurred in 2.5% (n=27)
of these patients, and following their exclusion, the final study population comprised 1041
patients (Supplemental Figure 1). Table 1 summarizes the baseline characteristics of the
patient population (mean age was 60±12 years, 76% male).
Baseline LVGLS
Median LVGLS was -15.0% (interquartile range: -12.1%, -18.0%) for the total population.
Baseline characteristics according to LVGLS >-15.0% (n=520) and -15.0% (n=521) are
shown in Table 1. Patients with LVGLS >-15.0% more frequently had diabetes, the LAD as
the culprit vessel, multivessel disease and higher cardiac biomarker concentrations compared
to patients with LVGLS -15.0%. On echocardiography, patients with LVGLS >-15.0% had
significantly larger LV volumes and WMSI and lower LVEF compared to their counterparts.
Regarding diastolic parameters, E/E’ ratio was significantly higher and E/A ratio,
deceleration time and E’ were significantly lower in patients with LVGLS >-15.0%.Presence
of grade 2 MR or LAVI did not differ significantly between the 2 groups.
Follow-up
Across the total patient population, LVEDV increased significantly between baseline and 3-
and 6-month follow-up (from 103±34 to 115±41 and to 112±40ml, respectively, p<0.001)
while LVESV did not change significantly overall (from 55±22 to 57±29 and to 54±29ml,
respectively, p=0.21). Additionally, the number of patients showing grade 2 MR over length
of follow-up also increased significantly (from 6.0% to 7.9% and to 7.7%, respectively,
p=0.006).
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Predictors of change in LVEDV from baseline to follow-up
Table 2 details the results of linear mixed model analyses. Higher WMSI was significantly
associated with LV remodeling as were male gender, LAD infarct compared to non-LAD,
higher discharge heart rate and peak troponin concentration and lower LAVI at baseline.
Regarding LVGLS, although baseline LVEDV was higher in patients with baseline LVGLS
>-15.0% compared to -15.0%, this difference was no significant after adjustment for other
relevant baseline clinical characteristics (p=0.1). In addition, patients with baseline LVGLS
>-15.0% exhibited greater LV dilatation at 3- and 6-month (LVEDV 124 44 vs. 106 36ml,
p<0.001 and 121 43 vs. 102 34ml, p<0.001 respectively; group-time interaction term
p<0.001) compared to their counterparts. This association between LVGLS and increased LV
dilatation retained the same statistical significance after adjustment for all parameters
significantly different between GLS groups, in addition to other parameters considered
clinically significant (Figure 2).
On likelihood ratio test, LVGLS (according to median) provided significant incremental
value for the prediction of follow-up LV dilatation to a model containing all other significant
clinical and echocardiographic predictors of LV remodeling (male gender, LAD infarct, peak
troponin concentration, discharge heart rate, LAVI and WMSI) - log-likelihood difference of
17.8, p<0.001 for measuring LVGLS in addition to clinical predictors, LAVI and WMSI
compared with clinical predictors, LAVI and WMSI alone. In addition, NRI index
demonstrated significant incremental value of LVGLS to predict 20% increase in LVEDV
over and above multiple covariates – including age, gender, diabetes, infarct territory, multi-
vessel disease, Killip class, peak CK and troponin concentrations, glucose concentration,
symptom-to-balloon time, MR severity, discharge heart rate and neurohormonal therapy
prescription at discharge (NRI 0.14 (95% CI 0.00034 - 0.29), p=0.04).
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Finally, the analysis was performed after excluding patients who did not have both
echocardiographic datasets available for the initial analysis (n=144). In the remaining large
subgroup (n=897), the adjusted group-time interaction term p-value for this sensitivity
analysis remained <0.001.
Discussion
The present observational study shows that in the acute phase after STEMI, stratifying
patients according to median LVGLS (-15.0%) delineates a group of patients more likely to
show increased LV dilatation at follow-up. LVGLS >-15.0% was independently associated
with significantly larger LV volumes over both 3- and 6-month follow-up. Additionally
baseline LVGLS provided incremental value to a model containing peak troponin
concentration and WMSI to predict LVEDV increase after STEMI.
LVGLS as a marker of infarct size
Speckle-tracking derived LVGLS is a novel parameter of LV function which more closely
reflects intrinsic myocardial function than traditional parameters by evaluating the active
component of deformation.21 Moreover, speckle-tracking derived LVGLS is independent of
geometric assumptions and insonation angle and has relatively low intra- and inter-observer
variability.22 Due to these inherent advantages over other echocardiographic modalities,
several recent studies have investigated the role of LVGLS measurement as a marker of
infarct size, whether measured in the acute phase after revascularization 9, 10, 23 or at follow-
up.24, 25 A cut-off for LVGLS of -15% measured after reperfusion served as a more precise
predictor of large infarction than LVEF in 39 thrombolysis-treated STEMI patients.9 In a
larger group of primary PCI-treated patients, LVGLS measured at day 1 was also superior to
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LVEF in predicting 30-day infarct size.23 In our large population of contemporary STEMI
patients treated with primary PCI, a post-revascularization LVGLS value >-15.0% was
significantly associated with clinical characteristics traditionally indicative of larger infarct
size (diabetes, multivessel disease, higher biomarker levels). Additionally, these patients had
significantly more impaired global and regional systolic and diastolic function parameters
(including LVEF, WMSI and E’) as compared to the group of patients with more preserved
myocardial shortening (LVGLS -15.0%).
LVGLS and LV remodeling
Despite the demonstrated role of LVGLS in accurately identifying the extent of global
myocardial injury and dysfunction after infarction, few studies in the contemporary era have
specifically related LVGLS measurement in the acute phase after STEMI to the risk of LV
remodeling at follow-up. A substudy of the VALIANT (valsartan in acute myocardial
infarction trial) study including 603 post-STEMI patients with LV dysfunction, demonstrated
no significant association between myocardial longitudinal strain rate and LV remodeling.26
However, those patients were enrolled prior to the systematic use of primary PCI and other
current guideline-based anti-remodeling therapies. Studies involving modern era STEMI
patients, which have demonstrated an association between LVGLS and LV remodeling, are
limited by small numbers, variable LV remodeling definitions and shorter follow-up
periods.27, 28 The current evaluation considerably expands on previous studies by relating
baseline LVGLS measurement in a large cohort of contemporary STEMI patients to accepted
echocardiographic outcomes on systematic 3- and 6-month follow-up. Patients with LVGLS
>-15% were significantly more likely to display pathological LV dilatation at both 3- and 6-
months after STEMI. This relationship remained significant even after adjusting for multiple
clinical parameters known to influence post-STEMI outcome. Importantly, repeating the
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analysis per quartile of GLS (supplemental file) showed a stepwise relationship between less
negative (more impaired) GLS and progressive LV dilatation, with the greatest and most
significant increase in LVEDV at both 3- and 6-month occurring in those patients in the
highest quartile of GLS (>-12.1%). The finding that LVGLS measurement prior to discharge
can identify patients at increased risk of LV dilatation is particularly relevant given it can be
quantified at rest and without need for pharmacological stressors, expensive contrast media or
exposure to ionizing radiation.
LVGLS versus WMSI in risk stratification after STEMI
Previous studies have consistently shown that WMSI evaluation is superior to LVEF for early
risk assessment after STEMI.6, 29 WMSI and LVGLS were recently shown to accurately
identify substantial infarction in non-STEMI patients prior to revascularization.30 However,
segmental motion and thus WMSI, unlike LVGLS, may be influenced by tethering of scar
tissue by adjacent viable myocardium. In the current study, we confirmed an advantage of
LVGLS over WMSI for early risk stratification after STEMI. While baseline WMSI was
independently associated with LV remodeling at 3- and 6-month follow-up, the addition of
LVGLS to a model containing WMSI provided incremental value for prediction of LVEDV
increase. Although the absolute differences in LVEDV at follow-up appear small, LVGLS
was both incremental to WMSI and significantly reclassified additional patients over and
above traditional post-STEMI risk parameters. Given these findings and the fact that LVGLS
provides a semi-automated, quantitative measure of LV systolic function its future use for
risk stratification in all STEMI patients is highly foreseeable.
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Limitations
This was a retrospective evaluation. However, it reports prospectively collected real-world
data on a large cohort of modern era STEMI patients treated optimally according to a
dedicated, guideline-based protocol.11 Patients in cardiogenic shock requiring supportive
therapy were not included in this study; therefore these findings may not apply to this
important patient group. However, these patients represent a high-risk group and additional
strategies for risk stratification are less clinically relevant. Additionally, echocardiography
was performed within 48 hours after STEMI in all patients; the dynamic nature of LV
function recovery following STEMI may lead to an underestimation of the systolic function
during this time period. However, in the final adjusted model, time from reperfusion to
baseline echocardiography did not have a significant effect on the relationship between
baseline LVGLS and follow-up LV dilatation.2, 6 2D Simpson’s biplane method to assess
LVEDV may be less accurate in the presence of foreshortening or irregular LV geometry and
is associated with a high variability.31 However, the prognostic value of LVEDV using this
method of assessment has been proven 32 and it remains the currently recommended method
to assess LV systolic function on 2D echocardiography.14 Changes in heart rate during
follow-up and their association with LV dilatation were not assessed. However, the aim of
the current study was to assess the effect of LVGLS measured in the acute phase after
STEMI on follow-up LV dilatation as compared to other baseline characteristics (including
discharge heart rate) known to influence later risk of remodeling. Additionally, changes in
medication at follow-up were not systematically recorded. However, it is known from a
systematic overview of angiotensin converter enzyme inhibition in STEMI patients that most
of the survival benefit is observed in the first week.33, 34 Intra- and interobserver variability
measurements were not performed as part of the current study protocol. However, our
laboratory performs LVGLS measurements in a standardized manner. The reproducibility
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measurements for GLS from our laboratory were recently reported in a similar patient cohort
to the current study population.18 Lastly, CE-MRI imaging would have been desirable to
strengthen our observations on LVGLS and its relation to infarct size and subsequent LV
remodelling. However, LVGLS provided significant incremental value to other established
parameters of infarct size – including peak troponin concentration and WMSI- for the
prediction of LV dilatation at follow-up.
Conclusion
Stratifying STEMI patients according to median value of LVGLS on baseline
echocardiography may serve as an additional marker of infarct size. Furthermore, LVGLS
prior to discharge after STEMI was an independent predictor of LV dilatation at both 3- and
6-month follow-up. This large contemporary registry study confirms the benefit of this quick,
inexpensive and widely available tool for risk stratification after STEMI.
Sources of Funding
E. Joyce is financially supported by a ESC training grant and by an Irish Cardiovascular
Educational Bursary from Merck Sharp & Dohme. G. Hoogslag received a PhD grant
provided by the Leiden University Medical Center. D. Leong is supported by the National
Health and Medical Research Council of Australia and the National Heart Foundation of
Australia. P. Debonnaire is supported by a Sadra Medical Research Grant (Boston Scientific).
Disclosures
The Department of Cardiology received grants from Biotronik, Medtronic, Boston Scientific
Corporation, St Jude Medical, Sadra Lotus and GE Healthcare. V. Delgado received
consulting fees from St. Jude Medical and Medtronic. The remaining authors have nothing to
disclose.
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aallll EEEEEE, SSSSchchchcchalalallijijijijj MMMJ,J,J,J, BBBaxaxaxax JJJJJ.J.J.JJ VVVVViaiaiaiaabibibibib lililiitytytyt aaaasssssssss esesese smsmsmmmenenenent t t t wiwiwiwiw thththh ggggglololl bball lleaiaiainnn prprpredededicicictststs rrrecececovovoverereryyy ofofof lllefefefttt vvvenenentrtrtriciciculululararar fffunununctctctioioionnn afafafteteterrr acacacutututeeettt
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alalalalalalalvuvuvuvuvuvuvulalalalalalalar r r r r rr rererererereregugugugugugugurgrgrgrgrgrgrgitititititititaaaaaaachooooooocacacacacacacardrdrdrdrdrdrdioioioioioioiogrgrgrgrgrgrgr.. 202020202020201111111h JKKKKKKK SSSSSSSmimimimimimimiseseseseseseseththththththth OOOOOA, pp , , , ,
pf FA, Pellikka PA, Evangelista A. Recommendations for the diastolic function by echocardiography. J Am Soc E
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Table 1. Baseline characteristics of the patient population
Total Patient Population
(n=1041)
LVGLS >-15.0%
(n=520)
LVGLS -15.0%
(n=521)
p value*
Clinical
Age (years) 60±12 61±12 60±11 0.18
Male gender, n (%) 792 (76%) 390 (75%) 402 (77%) 0.45
Current or previous smoking, n (%)
625 (60%) 312 (60%) 313 (60%) 0.90
Diabetes, n (%) 99 (10%) 61 (12%) 38 (7%) 0.01
Family history of CAD, n (%)
455 (44%) 222 (43%) 233 (45%) 0.55
Hyperlipidemia, n (%) 187 (18%) 84 (16%) 103 (20%) 0.13
Hypertension, n (%) 328 (32%) 172 (33%) 156 (30%) 0.27
Killip class 2, n (%) 40 (4%) 23 (4%) 17 (3%) 0.32
Glucose level (mmol/L) 8.4±2.8 8.7±3.1 8.1±2.5 0.001
eGFR (ml/min/1.73m²) 98±32 97±33 99±32 0.60
LAD as culprit vessel 480 (46%) 338 (65%) 142 (27%) <0.001
Multivessel disease, n (%) 487 (47%) 259 (50%) 228 (44%) 0.04
Peak CPK (U/L) 1612 (771, 3164) 2363 (1286, 4080) 1124 (536, 2075) <0.001
Peak TnT level (ug/L) 4.3 (1.8, 8.2) 6.4 (3.1, 11) 2.9 (1.1, 5.7) <0.001
Symptom-to-balloon onset (minutes)
173 (126, 259) 181 (132, 277) 165 (120, 244) 0.06
Time from reperfusion-to-echocardiography (hours)
24 (24, 48) 24 (24, 48) 24 (24, 48) -
Discharge heart rate (bpm) 70±12 72±12 67±11 <0.001
Discharge systolic blood pressure (mmHg)
114±17 114±16 115±17 0.39
Discharge diastolic blood pressure (mmHg)
69±11 70±11 69±11 0.50
Antiplatelets ( 1) 1041 (100%) 520 (100%) 521 (100%) -
ACE inhibitor/ARB 1016 (98%) 504 (97%) 512 (98%) 0.21
101010101010103333333 (2(2(2(2(2(2(20%0%0%0%0%0%0%))))) ) )
328 (32%) 172 (33%) 156 (30%)
480 (46%) 338 (65%) 142 (27%)
32323232328888 (3(3(3(3(32%) 172 (3(3(3(3(33%) 156 (30%)
40 (((((4%4%4%%%))) )) 2223 ((4%4%4%%%) ) ) )) 177777 (((((3%3%3%3%3%) ))))
8.8888 4±4±±4±±22.2.22 8 8888 88.888 7±7±7±7±7±3.3333 11111 8.888.8.1±1±1±1±1±2.222.2 55 555
98±3±3±3±3±322222 979797979 ±3±3±3±3±333333 99±32
448080 ((4646%)%) 333388 (6(65%5%)) 141422 (2(27%7%))
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Beta-blockers 984 (95%) 491 (95%) 493 (95%) 0.99
Statins 1033 (99%) 516 (99%) 517 (99%) 0.61
Echocardiography
LVESV (ml) 55±22 61±23 48±18 <0.001
LVEDV (ml) 103±34 108±36 98±31 <0.001
LVEF (%) 47±9 44±9 51±8 <0.001
WMSI 1.4 (1.3, 1.7) 1.6 (1.4, 1.8) 1.3 (1.2, 1.5) <0.001
MR grade 2 61 (6%) 31 (6%) 30 (6%) 0.89
Moderate-severe aortic valve disease
23 (2.2%) 14 (2.7%) 9 (1.7%) 0.29
LAVI (ml/m2) 20±8 20±8 20±8 0.26
E/A 0.90 (0.73, 1.1) 0.84 (0.66, 1.1) 0.97 (0.79, 1.2) <0.001
DT (ms) 212 (167, 263) 199 (159, 246) 221 (177, 274) 0.001
E’ (cm/s) 5.4 (4.2, 6.8) 4.8 (3.5, 6.2) 6.1 (4.9, 7.4) <0.001
E/E’ ratio 12 (10, 15) 13 (10, 17) 11 (9, 14) <0.001
LVGLS (%) -15.0±4.2 -11.6±2.4 -18.4±2.5 <0.001
*p values are given for the difference in baseline characteristics between LVGLS >-15.0% and LVGLS -
15.0% groups. Continuous data are presented as mean SD or median and interquartile range.
ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blocker; CAD, coronary artery disease; CPK,
creatinine phosphokinase; DT, decleration time; E/A, ratio of mitral inflow peak early velocity (E) to mitral
inflow peak late velocity (A); E’, mitral annular peak early velocity; E/E’, ratio of mitral inflow peak early
velocity to mitral annular peak early velocity; eGFR, estimated glomerular filtration rate; GLS, global
longitudinal strain; LAD, left anterior descending artery; LAVI, left atrial volume index; LV, left ventricular;
LVEF, left ventricular ejection fraction; LVEDV, left ventricular end diastolic volume; LVESV, left ventricular
end systolic volume; MR, mitral regurgitation; TnT, cardiac troponin T; WMSI, wall motion score index.
0.97 (0.79, 1.2)2)2)2)2)2)2)
222222221111111 (1(1(1(1(1(1(177777777777777,, 272727272727274)4)4)4)4)4)4)
5.4 .2 6. 4.8 3. 6.2 6.1 .9 7.
12 (10, 15) 13 (10, 17) 11 (9, 14)
-15.0±4.2 -11.6±2.4 -18.4±2.5
for the difference in baseline characteristics between LVGLS >-15.0% and L
5.55 44444 (4(((( .2.2.2.2.2, 6.8) 4.8 (3.33.33.5,5555 6.2) 6.1 (4.9, 7.4)
12 (10, 15)5)))5) 11333 (11000, 111117)7)7)7)7) 11 (9(9(9(9(9, 141444)
11-15.0±0±00±4.4.4 222 -111111.11 6±6±±6±2.22 444 111-118.8888 4±±±22.2 5555
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Table 2. Predictors of change in LVEDV from baseline to follow-up
Covariate Coefficient (95% confidence interval)
p value*
Age (years)
3m LVEDV
6m LVEDV
0.03 (-0.14 to 0.20)
-0.05 (-0.22 to 0.13)
0.72
Diabetes
3m LVEDV
6m LVEDV
3.8 (-2.8 to 10)
5.1 (-1.6 to 12)
0.29
Male gender
3m LVEDV
6m LVEDV
1.3 (-3.3 to 5.8)
5.4 (0.86 to 10)
0.05
LAD as culprit vessel
3m LVEDV
6m LVEDV
4.0 (0.17 to 7.9)
9.0 (5.1 to 13)
<0.001
Multivessel disease
3m LVEDV
6m LVEDV
1.9 (-2.0 to 5.8)
0.53 (-3.4 to 4.4)
0.63
Discharge heart rate (bpm)
3m LVEDV
6m LVEDV
0.02 (-0.14 to 0.18)
0.41 (0.25 to 0.57)
<0.001
Peak TnT concentration (ug/L)
3m LVEDV
6m LVEDV
1.6 (1.3 to 2.0)
1.6 (1.3 to 1.9)
<0.001
Killip class 2
3m LVEDV
6m LVEDV
-0.34 (-10 to 9.8)
5.9 (-4.6 to 16)
0.44
Time from reperfusion to echocardiography (hours)
-0.00024 (-0.0035 to 0.0030) 0.4
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3m LVEDV
6m LVEDV
0.0019 (-0.0014 to 0.0052)
Beta-blocker at discharge
3m LVEDV
6m LVEDV
-9.1 (-18 to -0.25)
-7.1 (-16 to 2.1)
0.1
ACE-I/ARB at discharge
3m LVEDV
6m LVEDV
-4.0 (-17 to 9.4)
-3.2 (-17 to 10)
0.82
WMSI
3m LVEDV
6m LVEDV
16 (9.7 to 22)
18 (12 to 25)
<0.001
MR grade 2
3m LVEDV
6m LVEDV
5.7 (-2.8 to 14)
-3.6 (-12 to 4.7)
0.11
LAVI
3m LVEDV
6m LVEDV
-0.35 (-0.59 to -0.12)
-0.43 (-0.66 to -0.19)
<0.001
LVGLS >-15.0 vs. -15.0%
3m LVEDV
6m LVEDV
6.7 (2.8 to 11)
10 (6.3 to 14)
<0.001
*p values represent the covariate-time interaction term; if significant (p<0.05), it indicates a time dependent
relationship between LVEDV and the particular covariate.
For abbreviations, see Table 1.
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Figure Legends
Figure 1. Assessment of LVGLS with speckle tracking echocardiography. (A) A patient with
acute inferior myocardial infarction. LVGLS was abnormal at -17.2% but remained below
(more negative) the cut-off threshold of -15.0%. Over the course of 3- and 6-month follow-
up, LVEDV did not increase significantly (134, 139 and 152ml respectively). (B) A patient
with acute anterior myocardial infarction. LVGLS was significantly impaired (less negative)
at -11.4%. Over the course of follow-up, LVEDV increased from 93ml at baseline to 118ml
at 3-month and 129ml at 6-month, representing a 39% increase overall.
APLAX, apical long-axis view; AVC, aortic valve closure; LV, left ventricular; LVEDV, left
ventricular end diastolic volume; 2C, 2-chamber; 4C, 4-chamber.
Figure 2. LVGLS stratified according to median value (-15.0%) and related to the change in
LVEDV over 3- and 6-month follow-up, adjusted for multiple other relevant post-STEMI
parameters. Patients with LVGLS >-15.0% (represented by the green bars) showed a
significantly higher increase in LVEDV at 3-months and 6-months compared to those with
LVGLS -15.0% (represented by the blue bars) (p<0.001). ¶ adjusted p value – see text for
details. Data is presented as mean SE.
CI, confidence interval; GLS, global longitudinal strain; LV, left ventricular; LVEDV, left
ventricular end diastolic volume; STEMI, ST-segment elevation myocardial infarction.
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Helèn Boden, Martin J. Schalij, Nina Ajmone Marsan, Jeroen J. Bax and Victoria DelgadoEmer Joyce, Georgette E. Hoogslag, Darryl P. Leong, Philippe Debonnaire, Spyridon Katsanos,
Dilatation After ST-segment Elevation Myocardial InfarctionAssociation Between Left Ventricular Global Longitudinal Strain and Adverse Left Ventricular
Print ISSN: 1941-9651. Online ISSN: 1942-0080 Copyright © 2013 American Heart Association, Inc. All rights reserved.
TX 75231is published by the American Heart Association, 7272 Greenville Avenue, Dallas,Circulation: Cardiovascular Imaging
published online November 1, 2013;Circ Cardiovasc Imaging.
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1
SUPPLEMENTAL MATERIAL
2
Supplemental Methods
Per Quartile Analysis
A per quartile analysis was performed which demonstrates similar findings to our
previous analysis in which baseline GLS was dichotomized by its median. Patients
were divided into 4 groups according to LV GLS quartile: quartile 1: LV GLS <-18%,
quartile 2: LV GLS between -18% and -15%, quartile 3: LV GLS between -14.9% and
-12.1% and quartile 4: LV GLS >-12.1%. The unadjusted association between
baseline GLS by quartile and change in left ventricular end-diastolic volume (LVEDV)
is illustrated in the figure below. A stepwise relationship between less negative GLS
(more impaired) and greater LV dilatation is illustrated (ie for each quartile worsening
in baseline LV GLS, there is progressive LV dilatation). The per quartile analysis was
repeated with adjustment for all the covariates used in the dichotomized model - age,
gender, diabetes, infarct location, multi-vessel disease, Killip class, discharge heart
rate, beta-blocker or angiotensin converting enzyme-inhibitor/angiotensin receptor
blocker use, mitral regurgitation severity, peak creatine kinase and troponin
concentrations, symptom-to-balloon time, baseline blood glucose concentration,
baseline LV end-systolic volume, LV ejection fraction, wall motion score index, E/A
ratio and deceleration time, E/E’ ratio and baseline left atrial volume index. The
results remained the same as for the analysis performed using median GLS to
dichotomize patients. The specific adjusted coefficients and associated 95%
confidence intervals per GLS quartile and p-values shown in the table below.
Analysis of the quartile-time interaction demonstrates a particularly marked
difference in LV remodeling between the highest and lowest quartiles of GLS
(quartile 4 vs. 1: 8.5 ml increase in LVEDV, 95% CI 2.7 to 14mls; p=0.004 at 3
months and 15 ml increase in LVEDV, 95% CI 8.8 to 20mls, p<0.001 at 6 months).
3
Time Baseline GLS quartile* Coefficient (95% CI)** p-value
3 months 2 -3.2 (-8.9 to 2.5) 0.3
3 0.85 (-4.9 to 6.6) 0.8
4 8.5 (2.7 to 14) 0.004
6 months 2 0.93 (-4.8 to 6.6) 0.8
3 5.3 (-0.42 to 11) 0.07
4 15 (8.8 to 20) <0.001
* the reference group is first quarter of GLS. ** adjusted by age, gender, diabetes, infarct
location, multi-vessel disease, Killip class, discharge heart rate, beta-blocker or angiotensin
converting enzyme-inhibitor/angiotensin receptor blocker use, mitral regurgitation severity,
peak creatine kinase and troponin concentrations, symptom-to-balloon time, baseline blood
glucose concentration, baseline LV end-systolic volume, LV ejection fraction, wall motion
score index, E/A ratio and deceleration time, E/E’ ratio and baseline left atrial volume index.
Supplemental Figures
4
Figure 1. Patient population
5