Literature DB >> 29018535

Left ventricular longitudinal systolic function analysed by 2D speckle-tracking echocardiography in heart failure with preserved ejection fraction: a meta-analysis.

Daniel Armando Morris1, Xin-Xin Ma2, Evgeny Belyavskiy1, Radhakrishnan Aravind Kumar1, Martin Kropf1, Robin Kraft1, Athanasios Frydas1, Engin Osmanoglou3, Esteban Marquez4, Erwan Donal5, Frank Edelmann1, Carsten Tschöpe1, Burkert Pieske1,6, Elisabeth Pieske-Kraigher1.   

Abstract

BACKGROUND: The purpose of this meta-analysis was to confirm if the global longitudinal systolic function of the left ventricle (LV) is altered in patients with heart failure with preserved ejection fraction (HFpEF).
METHODS: We searched in different databases (Medline, Embase and Cochrane) studies that analysed LV global longitudinal systolic strain (GLS) in patients with HFpEF and in controls (such as healthy subjects or asymptomatic patients with arterial hypertension, diabetes mellitus or coronary artery disease).
RESULTS: Twenty-two studies (2284 patients with HFpEF and 2302 controls) were included in the final analysis. Patients with HFpEF had significantly lower GLS than healthy subjects (mean -15.7% (range -12% to -18.9%) vs mean -19.9% (range -17.1% to -21.5%), weighted mean difference -4.2% (95% CI -3.3% to -5.0%), p < 0.001, respectively). In addition, patients with HFpEF had also significantly lower GLS than asymptomatic patients (mean -15.5% (range -13.4% to -18.4%) vs mean -18.3% (range -15.1% to -20.4%), weighted mean difference -2.8%(95% CI -1.9% to -3.6%), p < 0.001, respectively). In line, 10 studies showed that the rate of abnormal GLS was significantly higher in patients with HFpEF (mean 65.4% (range 37%-95%)) than in asymptomatic subjects (mean 13% (range 0%-29.6%)). Regarding the prognostic relevance of abnormal GLS in HFpEF, two multicentre studies with large sample size (447 and 348) and high number of events (115 and 177) showed that patients with abnormal GLS had worse cardiovascular (CV) outcomes than those with normal GLS (HR for CV mortality and HF hospitalisation 2.14 (95% CI 1.26 to 3.66) and 1.94 (95% CI 1.22 to 3.07)), even adjusting these analyses for multiples clinical and echocardiographic variables.
CONCLUSION: The present meta-analysis analysing 2284 patients with HFpEF and 2302 controls confirms that the longitudinal systolic function of the LV is significantly altered in high proportion of patients with HFpEF. Further large multicentre studies with the aim to confirm the prognostic role of abnormal GLS in HFpEF are warranted.

Entities:  

Keywords:  echocardiography; heart failure; speckle-tracking; strain

Year:  2017        PMID: 29018535      PMCID: PMC5623331          DOI: 10.1136/openhrt-2017-000630

Source DB:  PubMed          Journal:  Open Heart        ISSN: 2053-3624


Heart failure with preserved ejection fraction (HFpEF) has long been considered a disorder characterised principally by left ventricular (LV) diastolic alterations. While it is correct, recent studies using two-dimensional speckle-tracking echocardiography have suggested that the longitudinal systolic function of the LV is altered in HFpEF. Nonetheless, despite these interesting pathophysiological insights, other studies including old control patients and well-characterised patients with HFpEF did not find any significant difference in LV global longitudinal systolic strain (GLS) between HFpEF and controls. Accordingly, given these contradictory results, at this time it is difficult to confirm the magnitude of an altered LV longitudinal systolic function in patients with HFpEF. In addition, it remains uncertain the exact rate of abnormal GLS in HFpEF or whether the prevalence of this LV systolic alteration is significantly different to asymptomatic controls. In line, a global examination or meta-analysis addressing all these important issues in HFpEF is lacking. On the basis of 22 studies, 2284 patients with HFpEF and 2302 controls, the findings of this meta-analysis confirm that patients with HFpEF have significantly lower LV longitudinal systolic function than asymptomatic controls and that a longitudinal systolic dysfunction of the LV is common among patients with HFpEF. Several clinical trials have been conducted to restore the diastolic function of the LV in patients with HFpEF with the aim to improve the prognosis of these patients. However, none of these treatments has been shown to decrease mortality in patients with HFpEF. For this reason, additional pathophysiological mechanisms should be taken into consideration in the design of new clinical trials in this heterogeneous disease. The present meta-analysis analysing 2284 patients with HFpEF and 2302 controls confirms that the longitudinal systolic function of the LV is significantly altered in high proportion of patients with HFpEF. In addition, two large multicentre studies showed that an abnormal LV longitudinal systolic function is significantly linked to cardiovascular mortality and HF hospitalisation in these patients. Therefore, we consider that further large multicentre studies with the aim to validate the prognostic relevance of an abnormal GLS in patients with HFpEF are warranted, because if the prognostic role of this LV systolic alteration is confirmed, a future therapeutic target could arise on this complex disease, for which, so far, no effective therapies exist.

Introduction

Heart failure with preserved ejection fraction (HFpEF) has long been considered a disorder characterised principally by left ventricular (LV) diastolic alterations.1–3 While it is correct, recent studies using two-dimensional speckle-tracking echocardiography (2DSTE) have suggested that the longitudinal systolic function of the LV is altered in HFpEF.4–26 Nonetheless, despite these interesting pathophysiological insights, other studies including old control patients and well-characterised patients with HFpEF did not find any difference in LV global longitudinal systolic strain (GLS) between HFpEF and controls as well as any clinical relevance of GLS in HFpEF.27–33 Accordingly, given these contradictory results, at this time it is difficult to confirm the magnitude of an altered LV longitudinal systolic function in patients with HFpEF. In addition, it remains uncertain the exact rate of abnormal GLS in HFpEF or whether the prevalence of this LV systolic alteration is significantly different to asymptomatic controls. In line, a global examination or meta-analysis addressing all these important issues in HFpEF is lacking. Therefore, the purpose of this meta-analysis was to analyse the global longitudinal systolic function of the LV in all published studies that included HFpEF and control patients with the aim to confirm if the global longitudinal systolic function of the LV is altered in patients with HFpEF.

Methods

Search process

We searched in different databases (Medline, Embase and Cochrane) published studies until 15 June 2017 that analysed the global longitudinal systolic function of the LV using 2DSTE in patients with HFpEF. We searched the following Medical Subject Heading terms: ‘heart failure’, ‘echocardiography’ and ‘strain’. In addition, we reviewed the citations in the selected articles to search for additional studies.

Selection criteria

The criteria to include the studies were: (1) patients with diagnosis of HFpEF using a cut-off of left ventricular ejection fraction (LVEF) ≥ 45%; (2) available LV GLS analysed by 2DSTE at rest in at least 12 LV segments and (3) available control group or data regarding the prevalence of abnormal GLS or data regarding the prognosis of GLS. Control group in the analysis was defined as healthy subjects or as asymptomatic patients with some cardiovascular (CV) risk factor or disease such as arterial hypertension, diabetes mellitus or history of coronary artery disease (CAD). Furthermore, in order to avoid analysing twice the same population, we selected only one study when the same population was included in two or more HFpEF studies for the same research group.

Data abstraction and variable definition

Data were independently extracted by two reviewers (DAM and X-XM). Clinical characteristics, design, imaging modalities for quantification of GLS, baseline values of GLS in HFpEF and controls, rate of abnormal GLS and hazard ratio (HR) or odds ratio (OR) that linked GLS to CV outcomes were extracted from each study. The key variable under study was GLS (ie, peak systolic LV strain) derived from the myocardial analysis of the LV in longitudinal direction in the apical 4-chamber, 2-chamber and 3-chamber views (ie, ≥12 LV segments) and using 2DSTE at rest.

Statistical analysis

We used Review Manager (V.5.3, Cochrane) to analyse the data. All analyses were in accordance with the PRISMA-IPD Statement recommendations.34 Mean, 95% confidence interval (CI) and range were calculated for each variable from all studies. In line, we determined the weighted mean difference (WMD) for each variable in each study. A fixed model was used to obtain WMD. Statistical heterogeneity in GLS values among studies was evaluated using the I2 statistics. In addition, we performed a meta-regression analysis in order to detect the possible sources of statistical heterogeneity on GLS values in the study population. Moreover, a sensitivity analysis was performed in order to decrease the possible bias or sources of statistical heterogeneity on GLS. In this regard, we performed subgroup analyses including studies with ≥ 100 patients with HFpEF and studies with < 100 patients with HFpEF as well as studies with patients with HFpEF without atrial fibrillation. Furthermore, with the purpose of evaluating the association of GLS with CV outcomes in HFpEF, we analysed the link of GLS to CV outcomes analysing the OR and HR in logistic and Cox regression analysis in the studies. Differences were considered statistically significant when p value was < 0.05.

Results

Study population

We identified 953 potential studies from published literature (see figure 1). Twenty-nine studies met the eligibility criteria analysing the different databases (Medline, Embase and Cochrane) (see table 1). Twenty-two studies had a control group (2284 patients with HFpEF and 2302 controls) and nine studies had follow-up with outcomes analyses (1847 patients with HFpEF) (see table 1). Concerning the clinical and LV characteristics of the study population, there were differences between HFpEF and controls regarding comorbidities such as arterial hypertension, diabetes mellitus and history of CAD and regarding LV characteristics such as LV mass and LV filling pressures (table 2). Nonetheless, in a meta-regression analysis, the severity of LV filling pressures was the main factor linked to GLS in patients with HFpEF (see table 3).
Figure 1

Search process. We searched in different databases (Medline, Embase and Cochrane) published studies until 15 June 2017 that analysed the global longitudinal systolic function of the left ventricular (LV) (global longitudinal systolic strain (GLS)) using two-dimensional speckle-tracking echocardiography in patients with heart failure with preserved ejection fraction. We searched the following Medical Subject Heading terms: ‘heart failure’, ‘echocardiography’ and ‘strain’. HF, indicates heart failure; LVEF, indicates left ventricular ejection fraction.

Table 1

Characteristics and design of the studies

StudyNumber of patients with HFpEFAge (years)WomenLVEF criteriaLV strain (GLS)Control groupFollow-up
Wang et al42063 ± 1635%≥ 50%18 LV segments - EchoPacyesno
Liu et al52668 ± 1331%≥ 50%18 LV segments - EchoPacyesno
Phan et al274067 ± 1073%> 50%12 LV segments - EchoPacyesno
Tan et al65672 ± 769.6%> 50%12 LV segments - EchoPacyesno
Kasner et al282151 ± 4.252%≥ 50%18 LV segments - EchoPacyesno
Morris et al711970 ± 1044%> 50%18 LV segments - EchoPacyesno
Yip et al811274 ± 1264%≥ 50%18 LV segments - EchoPacyesno
Abe et al91065 ± 1230%≥ 50%16 LV segments - TomTecyesnot reported in HFpEF
Obokata et al104077 ± 1365%> 50%18 LV segments - EchoPacyesno
Pellicori et al2913878 ± 1037%≥ 50%18 LV segments - EchoPacyes28 months
Kraigher-Krainer et al1121971 ± 961%≥ 45%12 LV segments - TomTecyesno
Menet et al124070 ± 1377%≥ 50%18 LV segments - EchoPacyesno
Luo et al135870 ± 1040%≥ 50%16 LV segments - Toshibayesno
Donal et al19 2035676 ± 955.9%> 45%18 LV segments - EchoPacno28 months
Wang et al308066 ± 837%> 50%18 LV segments - EchoPacno36 months
Stampehl et al1410060 ± 176%≥ 50%18 LV segments - EchoPacno12 months
Shah et al1544770.3 ± 9.853.7%≥ 45%12 LV segments - TomTecyes31 months
Kosmala et al1620763.7 ± 8.673%≥ 50%18 LV segments - EchoPacyesno
Morris et al1721872 ± 10.552.3%> 50%18 LV segments - EchoPacyesno
Toufan et al1812657.5 ± 1069.8%≥ 50%16 LV segments - EchoPacyesno
Freed et al3130865 ± 1364%≥ 50%12 LV segments - TomTecno13 months
Carluccio et al214675 ± 852%≥ 50%18 LV segments - EchoPacyesno
Iwano et al225059 ± 1670%≥ 50%12 LV segments - QLabyesno
Hung et al235864.3 ± 12.453.4%> 50%18 LV segments - EchoPacyesno
Obokata et al3210277 ± 1157%≥ 45%18 LV segments - Epsilonno12 months
DeVore et al3318769 ± 2.548.1%≥ 50%18 LV segments - TomTecno6 months
Huang et al2412975.1 ± 10.758%≥ 45%18 LV segments - EchoPacno36 months
Lo et al257473.8 ± 1760.8%≥ 50%18 LV segments - EchoPacyesno
Bosch et al2615968 ± 1152%≥ 50%18 LV segments - EchoPacyes24 months

In the study by Bosch et al,26 159 out of 219 patients were feasible to perform GLS analyses and the reported follow-up with outcomes analysis did not include GLS. The studies by Donal et al19 20 included a first outcomes analysis on GLS using a continuous Cox regression analysis and a second post hoc outcomes analysis on GLS using a dichotomous Cox regression analysis.

GLS, global longitudinal systolic strain; HFpEF, heart failure with preserved ejection fraction; LV, left ventricular; LVEF, left ventricular ejection fraction.

Table 2

Global clinical and echocardiographic characteristics of studies with patients with HFpEF and control subjects

Patients with HFpEF (n=2284)Asymptomatic patients (n=1647)Healthy subjects (n=655)
Clinical characteristics
 Age, years68.5 (51–78)64.7 (47–78)55 (36.5–70)
 Women55.2% (30%–77%)50.9% (32.4%–77%)58.7% (40%–70.5%)
 Arterial hypertension82% (40%–100%)70.3% (8%–100%)0%
 Diabetes mellitus33.4% (5%–60%)20.8% (0%–43%)0%
 Obesity37.8% (29.4%–58.7%)10.8% (8%–16.2%)0%
 History of CAD31.7% (0%–91.3%)13.6% (0%–33%)0%
 Atrial fibrillation8.6% (0%–73%)0.1% (0%–1%)0%
Echocardiographic characteristics
 LV longitudinal systolic strain, %−15.5 (−12 to −18.9)−18.3 (−15.1 to −20.4)−19.9 (−17.1 to −21.5)
 LV ejection fraction, %61.9 (58–72)64 (56–71)63.4 (60–67.6)
 LV mass index, g/m²105.7 (54–144)85.7 (49–115)78.8 (72.7–85)
 LA volume index, mL/m²37.7 (24.8–55)26.9 (16–38)25.4 (18–44)
 Mitral septal-lateral e’, cm/s5.9 (3.4–8)7.5 (4.8–12)11.1 (9–13.5)
 Mitral septal-lateral E/e’ ratio14.9 (10.2–19.9)10 (6.8–12.6)7.3 (6.3–8.5)

Data are expressed as mean and (range) (ie, the mean value of each variable from all studies as well as the range of the means from all studies). GLS (ie, average longitudinal peak systolic strain from ≥12 LV segments).

CAD, coronary artery disease; GLS, global longitudinal systolic strain; HFpEF, heart failure with preserved ejection fraction;e’, septal and lateral annular mitral early diastolic peak velocity using pulsed-TDI; E, mitral inflow early diastolic peak velocity using pulsed Doppler; LA, left atrial.

Table 3

Clinical and cardiac factors linked to LV global longitudinal systolic strain (GLS) in patients with HFpEF - Meta-regression analysis

Clinical and cardiac factorsGLS, %  
β (95% CI)p Value
Age, per 1 year−0.05 (−0.15 to 0.05) 0.32
Prevalence of women, per 1%0.08 (−0.04 to 0.12)< 0.01
Prevalence of arterial hypertension, per 1%0.02 (−0.03 to 0.07) 0.41
Prevalence of diabetes, per 1%−0.02 (−0.08 to 0.02) 0.31
Prevalence of CAD, per 1%−0.04 (−0.01 to −0.07)< 0.01
Prevalence of AF, per 1%−0.02 (−0.06 to 0.01) 0.27
LVEF, per 1%0.29 (0.04 to 0.53) 0.03
LV mass, per 1 g/m²−0.03 (−0.01 to −0.06) 0.05
Mitral septal-lateral e’, per 1 cm/s0.34 (−0.40 to 1.08) 0.38
Mitral septal-lateral E/e’, per 1 unit−0.39 (−0.17 to −0.61)< 0.01
Sample size of the study, per one patient0.01 (−0.01 to 0.02) 0.53

The meta-regression analysis was performed in all studies as shown in figures 2 and 3. GLS (ie, average longitudinal peak systolic strain from ≥12 LV segments).  The β coefficient indicates the estimated change in GLS for every estimated change in the independent variable analysed.

AF, atrial fibrillation; CAD, coronary artery disease; GLS, global longitudinal systolic strain; HFpEF, heart failure with preserved ejection fraction; e’, septal and lateral annular mitral early diastolic peak velocity using pulsed-TDI; E, mitral inflow early diastolic peak velocity using pulsed Doppler; β, beta coefficient; LV, left ventricular; LVEF, left ventricular ejection fraction.

Search process. We searched in different databases (Medline, Embase and Cochrane) published studies until 15 June 2017 that analysed the global longitudinal systolic function of the left ventricular (LV) (global longitudinal systolic strain (GLS)) using two-dimensional speckle-tracking echocardiography in patients with heart failure with preserved ejection fraction. We searched the following Medical Subject Heading terms: ‘heart failure’, ‘echocardiography’ and ‘strain’. HF, indicates heart failure; LVEF, indicates left ventricular ejection fraction. Characteristics and design of the studies In the study by Bosch et al,26 159 out of 219 patients were feasible to perform GLS analyses and the reported follow-up with outcomes analysis did not include GLS. The studies by Donal et al19 20 included a first outcomes analysis on GLS using a continuous Cox regression analysis and a second post hoc outcomes analysis on GLS using a dichotomous Cox regression analysis. GLS, global longitudinal systolic strain; HFpEF, heart failure with preserved ejection fraction; LV, left ventricular; LVEF, left ventricular ejection fraction. Global clinical and echocardiographic characteristics of studies with patients with HFpEF and control subjects Data are expressed as mean and (range) (ie, the mean value of each variable from all studies as well as the range of the means from all studies). GLS (ie, average longitudinal peak systolic strain from ≥12 LV segments). CAD, coronary artery disease; GLS, global longitudinal systolic strain; HFpEF, heart failure with preserved ejection fraction;e’, septal and lateral annular mitral early diastolic peak velocity using pulsed-TDI; E, mitral inflow early diastolic peak velocity using pulsed Doppler; LA, left atrial. Clinical and cardiac factors linked to LV global longitudinal systolic strain (GLS) in patients with HFpEF - Meta-regression analysis The meta-regression analysis was performed in all studies as shown in figures 2 and 3. GLS (ie, average longitudinal peak systolic strain from ≥12 LV segments).  The β coefficient indicates the estimated change in GLS for every estimated change in the independent variable analysed. AF, atrial fibrillation; CAD, coronary artery disease; GLS, global longitudinal systolic strain; HFpEF, heart failure with preserved ejection fraction; e’, septal and lateral annular mitral early diastolic peak velocity using pulsed-TDI; E, mitral inflow early diastolic peak velocity using pulsed Doppler; β, beta coefficient; LV, left ventricular; LVEF, left ventricular ejection fraction.

LV longitudinal systolic function in HFpEF versus controls

Patients with HFpEF had significantly lower GLS than control subjects (see table 2 and figures 2 and 3). These differences in GLS between HFpEF and controls were significant between patients with HFpEF and asymptomatic patients (figure 2) as well as between patients with HFpEF and healthy subjects (figure 3). In line, 19 out of 22 studies showed that patients with HFpEF had significantly lower values of GLS than controls (see figures 2 and 3). On the other hand, there were minimal differences in LVEF between patients with HFpEF and controls and the mean range of LVEF in HFpEF and controls was within the normal range for LVEF (ie, 55%–75%) (see table 2 and figure 4).
Figure 2

LV global longitudinal systolic strain (GLS) in patients with heart failure with preserved ejection fraction (HFpEF) vs asymptomatic patients. GLS is shown in absolute values.

Figure 3

LV global longitudinal systolic strain (GLS) in patients with heart failure with preserved ejection fraction (HFpEF) vs healthy subjects. GLS is shown in absolute values.

Figure 4

Left ventricular ejection fraction (LVEF) in patients with heart failure with preserved ejection fraction (HFpEF) vs asymptomatic and healthy controls. The study by Shah et al15 was not included in this analysis because the value of LVEF in the control group was not reported.

LV global longitudinal systolic strain (GLS) in patients with heart failure with preserved ejection fraction (HFpEF) vs asymptomatic patients. GLS is shown in absolute values. LV global longitudinal systolic strain (GLS) in patients with heart failure with preserved ejection fraction (HFpEF) vs healthy subjects. GLS is shown in absolute values. Left ventricular ejection fraction (LVEF) in patients with heart failure with preserved ejection fraction (HFpEF) vs asymptomatic and healthy controls. The study by Shah et al15 was not included in this analysis because the value of LVEF in the control group was not reported. In a statistical variability analysis (I2), a statistical heterogeneity in GLS values among studies was found (see figures 2 and 3). In this regard, in order to detect the possible sources of statistical heterogeneity on GLS values in the study population, a meta-regression and sensitivity analysis was performed. In effect, we found that the severity of LV filling pressures (measured by the mitral average septal-lateral E/e’ ratio) was the main factor linked to heterogeneity on GLS values among HFpEF studies, whereas the sample size, age and the presence of AF were not significantly linked to GLS (see table 3). In addition, with the purpose of ruling out the possible role of the sample size on GLS values, we performed a subgroup analysis including studies with ≥ 100 and < 100 patients with HFpEF. In this respect, we found that patients with HFpEF had significantly lower values of GLS than controls in studies that included both ≥ 100 and < 100 patients with HFpEF (see figures 5 and 6). In addition, in order to exclude the role of AF on the statistical heterogeneity of GLS, we performed a subgroup analysis including only those studies that included patients with HFpEF without AF. In this regard, we found that patients with HFpEF without AF had also significantly lower values of GLS than controls (see figure 7).
Figure 7

LV global longitudinal systolic strain (GLS) in patients with heart failure with preserved ejection fraction (HFpEF) without atrial fibrillation vs asymptomatic and healthy controls. GLS is shown in absolute values.

LV global longitudinal systolic strain (GLS) in patients with heart failure with preserved ejection fraction (HFpEF) vs asymptomatic and healthy controls in studies including ≥ 100 patients with HFpEF. GLS is shown in absolute values. LV global longitudinal systolic strain (GLS) in patients with heart failure with preserved ejection fraction (HFpEF) vs asymptomatic and healthy controls in studies including < 100 patients with HFpEF. GLS is shown in absolute values. LV global longitudinal systolic strain (GLS) in patients with heart failure with preserved ejection fraction (HFpEF) without atrial fibrillation vs asymptomatic and healthy controls. GLS is shown in absolute values.

Prevalence of LV longitudinal systolic dysfunction in HFpEF

Regarding the prevalence of LV longitudinal systolic dysfunction in HFpEF, 10 studies (1810 patients with HFpEF and 462 asymptomatic controls) showed that the rate of abnormal GLS was significantly high in patients with HFpEF (mean 65.4% (range 37%–95%)), whereas in asymptomatic subjects was only of 13% (range 0%–29.6%) (table 4). Nonetheless, only one study analysed the clinical and cardiac characteristics of patients with HFpEF with abnormal GLS.33
Table 4

Prevalence of LV longitudinal systolic dysfunction in patients with HFpEF vs controls

StudyHFpEF patients rate of abnormal GLSAsymptomatic controls rate of abnormal GLSCut-off of abnormal GLSLV segments analysedSoftware package
Wang et al495%5%−16%18EchoPac
Liu et al585%15%−17.5%18EchoPac
Morris et al781.5%15.5%−16%18EchoPac
Yip et al837%0%−16%18EchoPac
Kraigher-Krainer et al1154.3%29.6%−15.8%12TomTec
Donal et al1939%No control group−16%18EchoPac
Shah et al1552%Not reported−15.8%12TomTec
Freed et al3175%No control group−20%12TomTec
DeVore et al3365%No control group−16%18TomTec
Huang et al2475.9%No control group−15.8%18EchoPac
All studiesmean 65.4% (range 37%–95%)mean 13% (range 0%– 29.6%)

The rate of abnormal GLS indicates the prevalence of LV longitudinal systolic dysfunction. GLS (ie, average longitudinal peak systolic strain from ≥12 LV segments).

HFpEF, heart failure with preserved ejection fraction; GLS, global longitudinal systolic strain.

Prevalence of LV longitudinal systolic dysfunction in patients with HFpEF vs controls The rate of abnormal GLS indicates the prevalence of LV longitudinal systolic dysfunction. GLS (ie, average longitudinal peak systolic strain from ≥12 LV segments). HFpEF, heart failure with preserved ejection fraction; GLS, global longitudinal systolic strain.

Prognostic relevance of LV longitudinal systolic dysfunction in patients with HFpEF

Nine studies analysed the prognostic relevance of GLS in patients with HFpEF (n=1847 patients with HFpEF; n of events=620) (see table 5). Four studies showed that GLS was associated with worse CV prognosis, but other five studies did not find any significant association of GLS with outcomes in patients with HFpEF (table 5). Six out of these nine studies analysed the association of GLS with outcomes using only continuous logistic or Cox regression analyses, whereas only three out of these nine studies analysed in a dichotomous analysis the link (ie, OR or HR) of an abnormal GLS to CV outcomes (table 5). Nonetheless, two out of these three studies were multicentre, with large sample size (447 and 348) and high number of events (115 and 177), and showed a significant association of an abnormal GLS with CV outcomes (HR for CV mortality and HF hospitalisation 2.14 (95% CI 1.26 to 3.66) and 1.94 (95% CI 1.22 to 3.07)) (see table 5).
Table 5

Association of LV global longitudinal systolic strain (GLS) with outcomes in HFpEF

StudyPrimary end pointEvents (n)Dichotomous univariate analysis Abnormal GLS HR (95% CI)Dichotomous multivariate analysis Abnormal GLS HR (95% CI)Continuous univariate analysis  GLS 1SD or 1% decrease HR (95% CI)Continuous multivariate analysis GLS 1SD or 1% decrease HR (95% CI)
Shah et al15CV death or aborted cardiac arrest or HF hospitalisation1152.26 (1.53 to 3.34)2.14 (1.26 to 3.66)1.13 (1.08 to 1.19)1.14 (1.04 to 1.24)
Donal et al19 20*All-cause death or HF hospitalisation177not reported1.94 (1.22 to 3.07)not reportednot reported
Huang et al24All-cause death273.4 (1.02 to 11.3)4.72 (1.25 to 17.8)not reportednot reported
Pellicori et al29CV death or HF hospitalisation62not reportednot reported1.09 (1.00 to 1.19)0.99 (0.90 to 1.11)
Freed et al31All-cause death or CV hospitalisation115not reportednot reported1.25 (1.03 to 1.52)1.17 (0.95 to 1.43)
Obokata et al32CV death, non-fatal MI and HF exacerbation29not reportednot reported0.99 (0.87 to 1.13)not reported
Stampehl et al14CV death or HF hospitalisation17not reportednot reportednot reportednot reported
Wang et al30All-cause death or HF hospitalisation43not reportednot reportednot reportednot reported
DeVore et al33§All-cause death or all-cause hospitalisation35not reportednot reportednot reportednot reported

*Donal et al did not find a significant link between GLS and CV outcomes at 28 months in a continuous Cox proportional hazards regression analysis in 356 patients (univariate analysis: p =0.1406; multivariate analysis: p =0.1192; the HR of this analysis was not reported).19 However, in a post hoc analysis of these data in 348 patients,20 an abnormal GLS (<16% in absolute values) was significantly linked to the combined end point of total mortality or HF hospitalisation at 18 months (HR 1.94 (1.22–3.07)), but an abnormal GLS was not linked to mortality-only at 18 months (HR 1.56 (0.84–2.89)).

†Stampehl et al found in a dichotomous univariate Cox proportional hazards regression analysis that an abnormal GLS (< 15% in absolute values) was linked to worse CV outcomes (Χ2=4.0, p=0.04; the HR of this analysis was not reported). In addition, patients with events had significantly lower GLS than those without events (−11.6 ± 0.4% vs −16.5 ± 0.5%, p=0.03).14

‡Wang et al did not find a significant link in a continuous logistic regression analysis between GLS at rest and CV outcomes (the HR of this analysis was not reported). In line, patients with events had similar values of GLS at rest than those without events (−17.5 ± 3.7% vs −18.8 ± 2.9%, p > 0.05). However, GLS during exercise was significantly linked to CV outcomes (univariate analysis: HR 0.81 (0.72–0.92), p < 0.01; multivariate analysis: HR 0.79 (0.67–0.91), p < 0.01) in a continuous logistic regression analysis. In addition, patients with events had significantly lower GLS during exercise than those without events (−18.2 ± 3.9% vs −21.4 ± 3.9%; p=0.001).30

§DeVore et al did not find a significant link between the tertiles of GLS and a composite end point of time to death or all-cause hospitalisation (p=0.952).33

CV, cardiovascular; GLS, global longitudinal systolic strain (ie, average longitudinal peak systolic strain from ≥12 LV segments); HF, heart failure; HFpEF, heart failure with preserved ejection fraction; MI, myocardial infarction.

Association of LV global longitudinal systolic strain (GLS) with outcomes in HFpEF *Donal et al did not find a significant link between GLS and CV outcomes at 28 months in a continuous Cox proportional hazards regression analysis in 356 patients (univariate analysis: p =0.1406; multivariate analysis: p =0.1192; the HR of this analysis was not reported).19 However, in a post hoc analysis of these data in 348 patients,20 an abnormal GLS (<16% in absolute values) was significantly linked to the combined end point of total mortality or HF hospitalisation at 18 months (HR 1.94 (1.22–3.07)), but an abnormal GLS was not linked to mortality-only at 18 months (HR 1.56 (0.84–2.89)). †Stampehl et al found in a dichotomous univariate Cox proportional hazards regression analysis that an abnormal GLS (< 15% in absolute values) was linked to worse CV outcomes (Χ2=4.0, p=0.04; the HR of this analysis was not reported). In addition, patients with events had significantly lower GLS than those without events (−11.6 ± 0.4% vs −16.5 ± 0.5%, p=0.03).14 ‡Wang et al did not find a significant link in a continuous logistic regression analysis between GLS at rest and CV outcomes (the HR of this analysis was not reported). In line, patients with events had similar values of GLS at rest than those without events (−17.5 ± 3.7% vs −18.8 ± 2.9%, p > 0.05). However, GLS during exercise was significantly linked to CV outcomes (univariate analysis: HR 0.81 (0.72–0.92), p < 0.01; multivariate analysis: HR 0.79 (0.67–0.91), p < 0.01) in a continuous logistic regression analysis. In addition, patients with events had significantly lower GLS during exercise than those without events (−18.2 ± 3.9% vs −21.4 ± 3.9%; p=0.001).30 §DeVore et al did not find a significant link between the tertiles of GLS and a composite end point of time to death or all-cause hospitalisation (p=0.952).33 CV, cardiovascular; GLS, global longitudinal systolic strain (ie, average longitudinal peak systolic strain from ≥12 LV segments); HF, heart failure; HFpEF, heart failure with preserved ejection fraction; MI, myocardial infarction.

Discussion

In the present study performing a meta-analysis regarding the longitudinal systolic function of the LV analysed by 2DSTE in HFpEF, patients with HFpEF had significantly lower GLS than control subjects and an abnormal GLS was common among patients with HFpEF. Moreover, two large multicentre studies analysing the association of an abnormal GLS with CV outcomes found that an abnormal GLS was significantly linked to CV mortality and HF hospitalisation.

Main findings of this meta-analysis

On the basis of 22 studies, 2284 patients with HFpEF and 2302 controls, the findings of this meta-analysis confirm that patients with HFpEF have significantly lower LV longitudinal systolic function than asymptomatic controls and that a longitudinal systolic dysfunction of the LV is common among patients with HFpEF. Nonetheless, despite the fact that the number of studies and patients was large, the amount of studies reporting the characteristics of patients with abnormal GLS as well as the prognostic consequences of an abnormal GLS was lower. In fact, only one study analysed the clinical and cardiac characteristics of patients with HFpEF with abnormal GLS and only two large multicentre studies analysed in a dichotomous analysis the association of an abnormal GLS with CV outcomes.15 20 33 Accordingly, on the basis of this meta-analysis, we can confirm that the longitudinal systolic function of the LV is altered in high proportion of patients with HFpEF, but the clinical and cardiac characteristics of this subgroup of patients as well as the clinical consequences of LV longitudinal systolic dysfunction in patients with HFpEF need to be confirmed. While nine studies have analysed the association of the longitudinal systolic function of the LV (analysed by GLS) with CV outcomes in patients with HFpEF,14 15 20 24 29–33 only two of these studies were multicentric, enrolled large number of patients (>300) and had high number of events (>100).15 20 In this regard, Shah et al15analysing the echocardiographic data of the TOPCAT trial found that an abnormal GLS was significantly linked to worse CV outcomes (CV death and HF hospitalisation) in patients with HFpEF. In agreement, Donal et al20analysing the echocardiographic data of the KaRen study found a significant association of an abnormal GLS with CV outcomes. However, other two smaller multicentre studies and three single-centre studies did not find any significant association of GLS with outcomes in HFpEF.29–33 Nonetheless, it is important to highlight that the analyses in the TOPCAT and KaRen studies were dichotomous analyses (ie, analysing the HR of an abnormal GLS with CV outcomes),15 20 whereas the other smaller studies analysed the association of GLS with CV outcomes using only continuous logistic or Cox regression analyses.29–33 Accordingly, while it is not possible to confirm in this meta-analysis if an abnormal GLS is linked to worse CV outcomes in HFpEF, we consider that further large multicentre studies with the aim to confirm the prognostic role of abnormal GLS in HFpEF are warranted.

Clinical perspectives on the basis of the findings of this meta-analysis

Isolated LV diastolic dysfunction (ie, abnormalities of LV myocardial stiffness and relaxation with normal LVEF) has long been considered the main underlying mechanism in HFpEF.1–3 On the basis of this pathophysiological model, several clinical trials have been conducted to restore the diastolic function of the LV in patients with HFpEF in order to improve the prognosis of these patients.35 36 However, none of these treatments has been shown to decrease mortality in patients with HFpEF.35 36 For this reason, additional pathophysiological mechanisms should be taken into consideration in the design of new clinical trials in this heterogeneous disease. The present meta-analysis analysing 2284 patients with HFpEF and 2302 controls confirms that the longitudinal systolic function of the LV is significantly altered in high proportion of patients with HFpEF. In addition, two large multicentre studies showed that an abnormal LV longitudinal systolic function is significantly linked to CV mortality and HF hospitalisation in these patients.15 20 Therefore, we consider that further large multicentre studies with the aim to validate the prognostic relevance of an abnormal GLS in patients with HFpEF are warranted, because if the prognostic role of this LV systolic alteration is confirmed, a future therapeutic target could arise on this complex disease, for which, so far, no effective therapies exist.

Limitations

Some considerations should be taken into account on this meta-analysis. Given that GLS values could vary among different software packages,37 38 we consider that the cut-off of GLS used to define LV longitudinal systolic dysfunction should be considered according to the ultrasound software package used in each study. In addition, it is worth to note that GLS, like other 2D methods such as LVEF, depends on the imaging quality and for these reasons the patients included in all studies of this meta-analysis had adequate imaging quality for an analysis by 2DSTE. Hence, the results of this meta-analysis could not be extrapolated to patients with poor imaging quality of the LV. Furthermore, while in the present meta-analysis were analysed all published studies that analysed GLS in HFpEF, there was some statistical heterogeneity in GLS values in the study population. In this respect, we performed a meta-regression analysis in order to detect the possible sources of statistical heterogeneity on GLS values among the studies. In effect, we found that the severity of LV filling pressures was the main factor linked to heterogeneity on GLS values among HFpEF studies, whereas the sample size, age and the presence of AF were not linked to GLS values. Nonetheless, it is important to note that it was not possible to perform a subgroup analysis including studies with HFpEF without history of CAD because only one study excluded patients with history of CAD.21

Conclusions

The present meta-analysis analysing 2284 patients with HFpEF and 2302 controls confirms that the longitudinal systolic function of the LV is significantly altered in high proportion of patients with HFpEF. In addition, two large multicentre studies showed that an abnormal LV longitudinal systolic function is significantly linked to CV mortality and HF hospitalisation in these patients. Therefore, we consider that further large multicentre studies with the aim to validate the prognostic relevance of an abnormal GLS in patients with HFpEF are warranted, because if the prognostic role of this LV systolic alteration is confirmed, a future therapeutic target could arise on this complex disease, for which, so far, no effective therapies exist.
  38 in total

1.  Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD Statement.

Authors:  Lesley A Stewart; Mike Clarke; Maroeska Rovers; Richard D Riley; Mark Simmonds; Gavin Stewart; Jayne F Tierney
Journal:  JAMA       Date:  2015-04-28       Impact factor: 56.272

2.  Normal range of left ventricular 2-dimensional strain: Japanese Ultrasound Speckle Tracking of the Left Ventricle (JUSTICE) study.

Authors:  Kiyohiro Takigiku; Masaaki Takeuchi; Chisato Izumi; Satoshi Yuda; Konomi Sakata; Nobuyuki Ohte; Kazuaki Tanabe; Satoshi Nakatani
Journal:  Circ J       Date:  2012-07-20       Impact factor: 2.993

Review 3.  Beta-blockers in heart failure with preserved ejection fraction: a meta-analysis.

Authors:  Chirag Bavishi; Saurav Chatterjee; Sameer Ather; Dipen Patel; Franz H Messerli
Journal:  Heart Fail Rev       Date:  2015-03       Impact factor: 4.214

4.  Contributions of Nondiastolic Factors to Exercise Intolerance in Heart Failure With Preserved Ejection Fraction.

Authors:  Wojciech Kosmala; Aleksandra Rojek; Monika Przewlocka-Kosmala; Andrzej Mysiak; Bozena Karolko; Thomas H Marwick
Journal:  J Am Coll Cardiol       Date:  2016-02-16       Impact factor: 24.094

5.  Incremental diagnostic value of la strain with leg lifts in heart failure with preserved ejection fraction.

Authors:  Masaru Obokata; Kazuaki Negishi; Koji Kurosawa; Hitomi Arima; Rieko Tateno; Goro Ui; Shoichi Tange; Masashi Arai; Masahiko Kurabayashi
Journal:  JACC Cardiovasc Imaging       Date:  2013-06-05

6.  Left ventricular long-axis performance during exercise is an important prognosticator in patients with heart failure and preserved ejection fraction.

Authors:  Jing Wang; Fang Fang; Gabriel Wai-Kwok Yip; John E Sanderson; Wei Feng; Jun-Min Xie; Xiu-Xia Luo; Alex Pui-Wai Lee; Yat-Yin Lam
Journal:  Int J Cardiol       Date:  2014-10-23       Impact factor: 4.164

7.  Presence and Implication of Temporal Nonuniformity of Early Diastolic Left Ventricular Wall Expansion in Patients With Heart Failure.

Authors:  Hiroyuki Iwano; Daisuke Kamimura; Ervin R Fox; Michael E Hall; Pavlos Vlachos; William C Little
Journal:  J Card Fail       Date:  2016-04-14       Impact factor: 5.712

8.  Role of left ventricular stiffness in heart failure with normal ejection fraction.

Authors:  Dirk Westermann; Mario Kasner; Paul Steendijk; Frank Spillmann; Alexander Riad; Kerstin Weitmann; Wolfgang Hoffmann; Wolfgang Poller; Matthias Pauschinger; Heinz-Peter Schultheiss; Carsten Tschöpe
Journal:  Circulation       Date:  2008-04-14       Impact factor: 29.690

9.  Importance of combined left atrial size and estimated pulmonary pressure for clinical outcome in patients presenting with heart failure with preserved ejection fraction.

Authors:  Erwan Donal; Lars H Lund; Emmanuel Oger; Christian Bosseau; Amélie Reynaud; Camilla Hage; Elodie Drouet; J-Claude Daubert; Cecila Linde
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2017-06-01       Impact factor: 6.875

10.  An observational study of the association among interatrial adiposity by computed tomography measure, insulin resistance, and left atrial electromechanical disturbances in heart failure.

Authors:  Chung-Lieh Hung; Chun-Ho Yun; Yau-Huei Lai; Kuo-Tzu Sung; Hiram G Bezerra; Jen-Yuan Kuo; Charles Jia-Yin Hou; Tze-Fan Chao; Bernard E Bulwer; Hung-I Yeh; Shou-Chuan Shih; Shing-Jong Lin; Ricardo C Cury
Journal:  Medicine (Baltimore)       Date:  2016-06       Impact factor: 1.889

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  11 in total

1.  On the search for the right definition of heart failure with preserved ejection fraction.

Authors:  Agnieszka Kapłon-Cieślicka; Karolina Kupczyńska; Piotr Dobrowolski; Błażej Michalski; Miłosz J Jaguszewski; Waldemar Banasiak; Paweł Burchardt; Łukasz Chrzanowski; Szymon Darocha; Justyna Domienik-Karłowicz; Jarosław Drożdż; Marcin Fijałkowski; Krzysztof J Filipiak; Marcin Gruchała; Ewa A Jankowska; Piotr Jankowski; Jarosław D Kasprzak; Wojciech Kosmala; Piotr Lipiec; Przemysław Mitkowski; Katarzyna Mizia-Stec; Piotr Szymański; Agnieszka Tycińska; Wojciech Wańha; Maciej Wybraniec; Adam Witkowski; Piotr Ponikowski; On Behalf Of "Club 30" Of The Polish Cardiac Society
Journal:  Cardiol J       Date:  2020-09-28       Impact factor: 2.737

Review 2.  Mechanisms, diagnosis, and treatment of heart failure with preserved ejection fraction and diastolic dysfunction.

Authors:  Gilman D Plitt; Jordan T Spring; Michael J Moulton; Devendra K Agrawal
Journal:  Expert Rev Cardiovasc Ther       Date:  2018-07-16

3.  Computational Modeling Studies of the Roles of Left Ventricular Geometry, Afterload, and Muscle Contractility on Myocardial Strains in Heart Failure with Preserved Ejection Fraction.

Authors:  Sheikh Mohammad Shavik; Samuel Wall; Joakim Sundnes; Julius M Guccione; Partho Sengupta; Scott D Solomon; Daniel Burkhoff; Lik Chuan Lee
Journal:  J Cardiovasc Transl Res       Date:  2021-04-29       Impact factor: 3.216

4.  Left ventricular contractile performance and heart failure in patients with left ventricular ejection fraction more than 40.

Authors:  Shuichi Kitada; Yu Kawada; Satoshi Osaga; Marina Kato; Shohei Kikuchi; Kazuaki Wakami; Yoshihiro Seo; Nobuyuki Ohte
Journal:  Heart Vessels       Date:  2020-06-05       Impact factor: 2.037

5.  Multilayer myocardial strain improves the diagnosis of heart failure with preserved ejection fraction.

Authors:  Radu Tanacli; Djawid Hashemi; Marthe Neye; Laura Astrid Motzkus; Moritz Blum; Elvis Tahirovic; Aleksandar Dordevic; Robin Kraft; Seyedeh Mahsa Zamani; Burkert Pieske; Hans-Dirk Düngen; Sebastian Kelle
Journal:  ESC Heart Fail       Date:  2020-06-21

6.  Is heart failure misdiagnosed in hospitalized patients with preserved ejection fraction? From the European Society of Cardiology - Heart Failure Association EURObservational Research Programme Heart Failure Long-Term Registry.

Authors:  Agnieszka Kapłon-Cieślicka; Cécile Laroche; Maria G Crespo-Leiro; Andrew J S Coats; Stefan D Anker; Gerasimos Filippatos; Aldo P Maggioni; Camilla Hage; Antonio Lara-Padrón; Alessandro Fucili; Jarosław Drożdż; Petar Seferovic; Giuseppe M C Rosano; Alexandre Mebazaa; Theresa McDonagh; Mitja Lainscak; Frank Ruschitzka; Lars H Lund
Journal:  ESC Heart Fail       Date:  2020-07-02

Review 7.  Left Ventricular Deformation and Vortex Analysis in Heart Failure: From Ultrasound Technique to Current Clinical Application.

Authors:  Simona Sperlongano; Antonello D'Andrea; Donato Mele; Vincenzo Russo; Valeria Pergola; Andreina Carbone; Federica Ilardi; Marco Di Maio; Roberta Bottino; Francesco Giallauria; Eduardo Bossone; Paolo Golino
Journal:  Diagnostics (Basel)       Date:  2021-05-17

8.  Prognostic implications of left ventricular strain by speckle-tracking echocardiography in population-based studies: a systematic review protocol of the published literature.

Authors:  Lamia Al Saikhan; Chloe Park; Rebecca Hardy; Alun Hughes
Journal:  BMJ Open       Date:  2018-07-16       Impact factor: 2.692

9.  Left atrial function and maximal exercise capacity in heart failure with preserved and mid-range ejection fraction.

Authors:  Caterina Maffeis; Daniel Armando Morris; Evgeny Belyavskiy; Martin Kropf; Aravind Kumar Radhakrishnan; Veronika Zach; Cristina Rozados da Conceicao; Tobias Daniel Trippel; Elisabeth Pieske-Kraigher; Andrea Rossi; Burkert Pieske; Frank Edelmann
Journal:  ESC Heart Fail       Date:  2020-12-08

Review 10.  Speckle Tracking Echocardiography: Early Predictor of Diagnosis and Prognosis in Coronary Artery Disease.

Authors:  Maria Concetta Pastore; Giulia Elena Mandoli; Francesco Contorni; Luna Cavigli; Marta Focardi; Flavio D'Ascenzi; Giuseppe Patti; Sergio Mondillo; Matteo Cameli
Journal:  Biomed Res Int       Date:  2021-02-02       Impact factor: 3.411

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