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Systematic Review

The Role of Speckle Tracking Echocardiography in the Evaluation of Common Inherited Cardiomyopathies in Children and Adolescents: A Systematic Review

1
Children’s Health and Exercise Research Centre (CHERC), University of Exeter, Exeter EX1 1TX, UK
2
Population Health Sciences Department, University of Bristol, Bristol BS8 2PS, UK
3
Faculty of Sport Science and Recreation, Universiti Teknologi MARA, Perlis Branch, Arau Campus, Perlis 40450, Malaysia
4
National Institute for Health Research (NIHR) Cardiovascular Biomedical Research Centre, Congenital Heart Unit, Bristol Heart Institute, Bristol BS2 8ED, UK
5
Institute of Sport, Exercise and Health, University College London, London W1T 7HA, UK
*
Author to whom correspondence should be addressed.
Diagnostics 2021, 11(4), 635; https://doi.org/10.3390/diagnostics11040635
Submission received: 23 February 2021 / Revised: 11 March 2021 / Accepted: 12 March 2021 / Published: 1 April 2021
(This article belongs to the Section Medical Imaging and Theranostics)

Abstract

:
Speckle tracking echocardiography (STE) has gained importance in the evaluation of adult inherited cardiomyopathies, but its utility in children is not well characterized. We conducted a systematic review to evaluate the role of STE in pediatric inherited cardiomyopathies. PubMed, EMBASE, Web of Science, Scopus, CENTRAL and CINAHL databases were searched up to May 2020, for terms related to inherited cardiomyopathies and STE. Included were dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), left ventricular non-compaction (LVNC) and arrhythmogenic cardiomyopathy (ACM). A total of 14 cohorts were identified, of which six were in DCM, four in HCM, three in LVNC and one in ACM. The most commonly reported STE measurements were left ventricular longitudinal strain (Sl), circumferential strain (Sc), radial strain (Sr) and rotation/torsion/twist. Sl, Sc and were abnormal in all DCM and LVNC cohorts, but not in all HCM. Apical rotation and twist/torsion were increased in HCM, and decreased in LVNC. Abnormal STE parameters were reported even in cohorts with normal non-STE systolic/diastolic measurements. STE in childhood cardiomyopathies can detect early changes which may not be associated with changes in cardiac function detectable by non-STE methods. Longitudinal and circumferential strain should be introduced in the cardiomyopathy echocardiography protocol, reflecting current practice in adults.

1. Introduction

The publication of recent registry-based reports has led to an increasing interest in the pediatric inherited cardiomyopathies, including hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), left ventricle non-compaction cardiomyopathy (LVNC) and arrhythmogenic cardiomyopathy (ACM) [1,2,3]. Although rare [1,2,3], they carry a significant mortality and morbidity burden: DCM is the main indication for pediatric heart transplant [1]; 7% of older children or adolescents with HCM died or received a heart transplant [2]; isolated LVNC, diagnosed in late childhood or adolescence, has 6% mortality at 5 years [3]; pediatric ACM has been associated with a high prevalence of life threatening arrhythmia at first presentation, compared to adults [4].
Diagnosis and follow-up of cardiomyopathy patients can be complicated by heterogeneity in clinical presentation and etiology, as well as overlap with acquired causes, such as myocarditis, or normal variants, such as athletes. Two dimensional speckle tracking echocardiography (STE) is used routinely in the management of adult cardiomyopathies and has been associated with clinical outcomes in HCM [5], DCM [6], LVNC [7] and ACM [8], aiding screening and early diagnosis [9,10,11,12,13]. Despite overwhelming data from the adult cardiomyopathy practice, STE has only recently started to gain importance on the pediatric side.
The aim of this study is to conduct a systematic review and meta-analysis of studies reporting STE measurements in pediatric inherited cardiomyopathies. The objectives of the review included understanding this technique’s current use in clinical practice, as compared to conventional echocardiographic techniques, and how its role in this field could be expanded in the future.

2. Materials and Methods

2.1. Study Design and Aims

This study was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [14]. The protocol was submitted to PROSPERO (CRD42020170433) during abstract screening. The primary aim of the study was to evaluate the role of STE in the diagnosis and follow-up of common inherited cardiomyopathies presenting in later childhood, beyond infancy. The secondary aim was to compare STE with conventional techniques in the same setting.

2.2. Study Eligibility

Inclusion criteria were: (1) Children or adolescents (mean or median age < 18 years); (2) Condition of interest: HCM, DCM, LVNC, ACM; (3) Echocardiography at rest with any STE measurement; (4) full text paper published in a peer-reviewed journal.
Exclusion criteria were: (1) Mean/median age under 2 years (or predominantly “neonate”, “infant” or “toddler”); (2) mean/median age over 20 years; (3) other cardiomyopathies (e.g., muscular dystrophies, mitochondrial diseases, amyloidosis, degenerative, metabolic or infectious cardiomyopathies, oncological treatment related disease, congenital heart disease, myocarditis, arrhythmic); (4) critically ill patients (New York Heart Association/Ross functional class IV, on inotrope support, on ventricular assist devices or circulatory assist); (5) MRI derived strain imaging; (6) Tissue Doppler strain; (7) 3D/4D STE studies, with no 2D STE data; (8) conference abstracts without full text paper available.
For studies with a mean/median reported age between 2–6 years or 18–20 years, those where the reported age distribution corresponded to mostly infants (<1 year)/toddlers (<3 years) or adults, respectively (>18 years), have been excluded, through consensus of the team. If mixed cardiomyopathies are reported, the study was excluded if more than 10% of the study population had another diagnosis than the four stated in the inclusion criteria. There were no language restrictions.

2.3. Database Search

PubMed, EMBASE, Web of Science, Scopus, Cochrane CENTRAL and EBSCO CINAHL databases were searched from inception to May 2020. The search strategy included the combined terms relating to the common inherited cardiomyopathies (i.e., HCM, DCM, LVNC, ACM or “cardiomyopathy”), pediatric population, echocardiography and speckle tracking imaging. The full search strategy, pre-published on PROSPERO, is available in Supplementary Materials (Search Strategy).

2.4. Study Selection and Data Extraction

Title and abstract and full text screening were performed using the Covidence® platform (Veritas Health Innovation Ltd, Melbourne, Australia), independently, by two reviewers (D.M.D. and C.W.). Data extraction was conducted independently by D.M.D. and C.W. which included study and methodology description, patient/control group demographics, STE and conventional echocardiography measurements, which were checked for discrepancies. In all of the steps above, a third reviewer (G.P.) arbitrated disagreements, and any discrepancies were resolved through team consensus. Corresponding authors were contacted and asked for any non-reported outcome data for their respective cohorts, relevant to this analysis.

2.5. Risk of Bias Assessment

Risk of bias was assessed independently by D.M.D. and C.W. using the Newcastle-Ottawa scale for case control studies [15]. Risk of bias assessment was done for 13 papers, since two studies [16,17] presented the same cohort. Studies were also graded into “low”, “medium” and “high” risk of bias, taking into consideration the Newcastle-Ottawa scales, through team consensus. More detail on the risk of bias assessment can be found in Supplementary Materials.
Publication bias was assessed visually by funnel plots of standardized mean difference (SMD) and standard error of SMD, and using the Egger test, acknowledging that this method could result in over-estimation of risk of publication bias when SMD is used [18].

2.6. STE and Conventional Echocardiographic Measurements

For the purpose of plotting and analysis, STE measurements were grouped as follows: longitudinal strain—Sl, including apical four chamber (A4C) and global longitudinal strain (GLS); circumferential strain—Sc, including basal, mid and apical circumferential strain; radial strain—Sr including basal, mid and apical radial strain; twist or torsion; basal rotation; and apical rotation. The main non STE measurements were left ventricular ejection fraction (LVEF), septal S’, E/A and E/E’ ratios. Details on all echocardiographic data extracted are found in Supplementary Materials (Additional Methodological Data).

2.7. Statistical Analysis

Frequencies are given as numbers and percentages, continuous values as means and standard deviation (SD). Numerical values extraction, transformation and calculation of missing statistical parameters are detailed in Supplementary Materials (Additional Methodological Data).
Data were summarized according to the Synthesis without meta-analysis (SWiM) guidelines [19], and presented by cardiomyopathy type. Given the high heterogeneity of the results, continuous variables were reported as range, or as individual data points, not as means. Albatross plots were used to compare and summarize the effect size, sample size and p values, due to the applicability in diversely reported studies [20]. Actual SMD values are reported in tabular form (Tables S1 and S2), with SMD contours in the Albatross plots assuming all studies have a 1:1 disease to control ratio, exclusively for in-between study comparisons’ visual representation. Statistical analyses were conducted using STATA/SE 12 (StataCorp LP, College Station, TX, USA).

3. Results

After screening 949 papers, with 102 full text articles assessed for eligibility, a total of 14 papers (14 cohorts) fulfilled the inclusion criteria and had no exclusion criteria (Figure 1). One paper included both a DCM and a HCM cohort, and was considered as two cohorts [21], while two papers reported different measurements in the same cohort at two different times [16,17]. Thirteen were case control studies with healthy controls, one had HCM with and without high risk genotype as participants/controls, and only one had partial follow-up after baseline evaluation.

3.1. Selected Studies

Characteristics of included studies and reported STE measurements are summarized in Table 1. Of the 14 cohorts, six were in DCM, four in HCM, three in LVNC and 1 in ACM. The number of participants ranged from 10–50, with a mean of 28 (10). Mean age ranged from 4.5–15 years, and males accounted from 46–86% of samples.
Most commonly reported non-STE cardiac systolic and diastolic function measurements were LVEF (n = 14), septal S’ (n = 5), E/A ratio (n = 7) and E’/E’ ratio (n = 9), summarized in Table S1.

3.2. Dilated Cardiomyopathy

Mean age in six DCM studies ranged from 4.5–10 years, male percentage from 48% to 70%. Figure 2A shows a summary of STE findings in these studies: there were less negative Sl (−11% to −15% in 3 studies), Sr (−15.7% and −18.5% in 2 studies) and Sc (−9.5% in one study); one study reported reduced twist (0.3° vs. 10.9°), mostly due to reduced apical rotation (0.9° vs. 5.9°). An additional study (not shown in Figure 2A) reported only mechanical dyssynchrony measurements derived from STE, of which we mention maximum Sl and Sr delays, both significantly higher in DCM. Mean differences, SMDs and p values are detailed in Table S2. All DCM cohorts reported reduced LVEF (mean ranging from 26.5% to 49.7%), with three reporting reduced septal S’, two reporting increased E/E’ ratio and thee reporting comparable E/A ratio (Figure 3A).

3.3. Hypertrophic Cardiomyopathy

Mean age in four HCM studies ranged from 6.1–14.1 years, male percentage from 60% to 85%. Figure 2B shows a summary of STE reported findings in the HCM cohorts: Sl was normal in one study (−21.3%) and less negative in two (−15.8% and −16.7%); Sc was abnormal in one study (−17.5%) and normal in one study (−22.2%); two studies reported rotational mechanics, showing increased twist, with more positive apical rotation (11.7° vs. 5.3° and 13.9° vs. 8.8°) and torsion, with more negative basal rotation (−8.7° vs. −4.9° and 2.8°/mm vs. 1.9°/mm), respectively. Mean differences, SMDs and p values are detailed in Table S2. All studies included patients with normal or supra-normal LVEF (mean ranging from 64–67.4%), one study reported normal septal S’ values, E/E’ was increased in one study and normal in one study, while the E/A ratio was reported normal in two studies (Figure 3B).

3.4. Left Ventricular Non-Compaction

Mean age in four LVNC studies ranged from 7.2–12.1 years, male percentage from 50% to 80%. Sl ranged from −15.3% to 18% in four studies. All studies reported less negative Sc (−18.1% to −19.1% for basal, −16.3% to −24.6% for mid and −14.9% to −20.6% for apical). Sr was also reduced in two studies, for all three segments. Two studies reported rotational mechanics, showing reduces twist (10° vs. 15.1° and 3.8° vs. 13.5° respectively), both due to reduced apical rotation. Mean differences, SMDs and p values are detailed in Table S2. All studies reported normal or mildly reduced LVEF (mean ranging from 54% to 68.9%), one study reported normal septal S’ values, three studies reported normal or mildly increased E/E’ values and one study reported normal E/A ratio (Figure 3C).

3.5. Arrhythmogenic Cardiomyopathy

Only one study reported STE measurements in children with ACM, with a mean age of 15 years, 68% male. The main findings were a less negative RV Sl, both global (−21% vs. −25%) and free wall (−19% vs. −24%), more markedly in the apical segments, despite similar FAC, TAPSE and RV S’ values (Tables S1 and S2).

3.6. Risk of Bias Assessment

3.6.1. Publication Bias

Overall risk of publication bias for any measurement was low (Egger p value 0.08), as presented in Figure 4. Risk of publication bias analysis was also repeated in subgroups by cardiomyopathy and STE measurement types, and found no high risk of bias (all Egger p values > 0.05).

3.6.2. Study Methodology Bias

Most studies, 9/13, were graded as medium risk of bias, 3/13 as low risk and 1/13 as high risk (Figure 5). The three studies with low risk either managed to perform a blinded evaluation of STE images, clearly report a comparable proportion of patients/controls with unusable STE images, or both. One study offers limited to no information on selection of cases and controls, and scored no point in the “Selection” item of the scale. Studies obtaining lower scores in the Selection item either failed to detail how the patients were selected (i.e., consecutive or not) or, in one instance, did not use healthy controls. These findings do not reflect poor study methodology or quality, but rather inherent limitations of echocardiographic case-control studies, where consecutive case selection, community controls and blinding of evaluation are not always feasible.

4. Discussion

This systematic review on the use of 2D STE in the main forms of pediatric inherited cardiomyopathy, DCM, HCM, LVNC and ACM, revealed several important findings. Firstly, only 14 studies were found (a single study in ACM), with high heterogeneity by cardiomyopathy type and STE measurement. This observation is despite accumulating evidence of the usefulness of STE in adult cardiomyopathy, both in early diagnosis [9,10,11,38] and outcome prediction [5,6,7,8,39]. Secondly, changes in STE parameters were described in pediatric cohorts where systolic or diastolic ventricular function were comparable to the healthy controls, demonstrating there is added value of STE over conventional echocardiography in the evaluation of children with cardiomyopathies.
When interpreted in the context of existing adult inherited cardiomyopathy data, the findings of this systematic review support the use of measurement of STE systolic function parameters in the evaluation of children. When expertise is available, rotational mechanics parameters, in addition to conventional echocardiographic techniques, could offer further details, especially in HCM and LVNC.

4.1. Pediatric Dilated Cardiomyopathy

All DCM studies reported reduced LVEF and abnormal LV strain values (longitudinal, circumferential and radial), when compared to controls. Adult data supports the notion that abnormal LV strain is predictive of cardiac events [6], and STE has been shown to be a more sensitive tool in assessing changes in LV systolic function than LVEF alone in children with other causes of LV dysfunction, such as anthracycline toxicity [40]. Thus, it is reasonable to include measurements of LV strain in the diagnosis and follow-up of pediatric DCM, in addition to conventional parameters. Two studies showed abnormal rotation [22] and dys-synchrony parameters [24], but their clinical significance has not yet been established.

4.2. Pediatric Hypertrophic Cardiomyopathy

All HCM studies reported normal/supranormal LVEF, with one reporting abnormal E/E’. Just two studies reported LV deformation parameters: normal Sc (less negative in apical segments) in one [28] and abnormal Sl in the second [21]. Both studies reporting rotational mechanics showed that basal rotation was less pronounced, while apical rotation was increased compared to controls, also observed in adults with HCM [41], but not the apical form, where apical rotation is reduced [42]. Rotational mechanics are thus a potential tool for HCM screening in children, and a promising avenue for research. Both Pieles et al. [29] and Forsey et al. [28] linked STE parameters to genotype variants, proposing a role of STE in screening and risk stratification. As opposed to adult HCM, where LV systolic deformation is reduced more frequently, [5] in children this was not seen consistently.

4.3. Left Ventricular Non-Compaction Cardiomyopathy

LV longitudinal, circumferential and radial strain were found to be abnormal compared to controls, as well as apical rotation, and subsequently twist and torsion. Basal rotation was normal, as opposed to adults, where decreased basal rotation was reported, in addition to rigid body rotation [7]. These findings support the notion that changes in myocardial mechanics are seen as early as childhood, and progress through adulthood, making STE a very useful tool for follow-up and screening.

4.4. Arrhythmogenic Cardiomyopathy

ACM was only reported in one cohort, despite growing evidence that early pediatric cases pose significant issues in early diagnosis, follow-up and risk stratification [4,43]. Recent adult data from the Dutch ACM Registry also showed that myocardial mechanics are altered in gene carriers not meeting diagnosis criteria, as well as an early potential sign of disease progression [12,13]. Nevertheless, given the importance of early ACM diagnosis to prevent sudden cardiac death, more research is needed to determine whether STE can accurately identify children with ACM.

4.5. Current Issues and Future Directions

We found few studies reported similar STE measurements in the same inherited cardiomyopathy type (three at most or any parameter in the same disease), highlighting the urgent need for a standardized protocol for children. This is further emphasized by the overall high risk of bias observed (only 3/14 of studies achieved a low risk), which may not reflect poor study quality, but rather inherent limitations in reporting, compounded by heterogeneous center practices. Nevertheless, most STE parameters were found to be altered in inherited cardiomyopathies when compared to healthy controls, even when reported as secondary findings.
From a clinical point of view, the data summarized by this systematic review suggest that, while it is reasonable to report longitudinal strain alongside conventional systolic function parameters, there is a stringent need for prospective, longitudinal studies in pediatric ICCs, to determine the exact benefits of adding STE to the standard of care. In addition, more data are needed to establish the role of rotational mechanics and dyssynchrony parameters in clinical practice.

4.6. Limitations

The main limitation comes from the small number of studies included, with very different populations and measurements, limiting the report to a synthesis without meta-analysis. All included studies had inherent patient selection biases, and this extends to our analysis. In addition, studies with negative results tend not to be reported, and this can cause publishing bias. Inter-vendor variability of STE measurements between studies was expected [44], and for this reason standardized mean differences were used in comparisons, instead of reported values. The analysis was also limited in its scope, with at most three cohorts reporting the same measurement in the same condition. Some items in the Newcastle-Ottawa scale for case-control studies were difficult to address in most imaging studies, due to inherent methodological flaws (e.g., impossibility of true blinding, tendency to select controls from healthy hospital patients), and, as such, the risk of bias could have been over-estimated. To balance this, we also used a semi-qualitative grading of studies (low/medium/high), taking scale results into consideration. Studies reporting cardiomyopathies secondary to other pathology have not been included, to try to minimize diagnostic heterogeneity. However, we acknowledge that in the studies included, some diagnostic misclassification may have occurred.

5. Conclusions

There is limited data on STE use in pediatric inherited cardiomyopathy, especially in ACM, with significant variety in reported STE measurements. The available data indicates that there are early changes during childhood measurable by STE, with or without abnormal ventricular systolic or diastolic function by non-STE methods. Longitudinal and circumferential strain should be introduced in the cardiomyopathy echocardiography protocol, mirroring adult practice. Myocardial mechanics, especially rotational parameters in LVNC and HCM show promise as early screening tools, and should be used when the expertise is available.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/diagnostics11040635/s1, Supplementary Materials—Search Strategy, Additional Methodological Data, Table S1—Summary of cardiac function by non-speckle tracking measurements, Table S2—Summary of cardiac function and mechanics by speckle tracking measurements.

Author Contributions

Conceptualization, D.M.D., C.A.W. (Craig A. Williams), G.E.P., A.G.S., N.H.A.; Methodology, D.M.D., C.A.W. (Curtis A. Wadey), C.A.W. (Craig A. Williams), G.E.P., A.G.S., N.H.A.; Formal Analysis, D.M.D., C.A.W. (Curtis A. Wadey), N.H.A.; Writing–Original Draft Preparation, D.M.D., C.A.W. (Curtis A. Wadey), C.A.W. (Craig A. Williams), G.E.P., A.G.S., N.H.A.; Writing–Review & Editing, D.M.D., C.A.W. (Curtis A. Wadey), C.A.W. (Craig A. Williams), G.E.P., A.G.S., N.H.A.; Visualization, D.M.D., C.A.W. (Curtis A. Wadey); Supervision, G.E.P., C.A.W. (Craig A. Williams). All authors have read and agreed to the published version of the manuscript.

Funding

Dan M. Dorobantu is supported by a doctoral scholarship (grant MR/N0137941/1 for the GW4 BIOMED DTP, awarded to the Universities of Bath, Bristol, Cardiff and Exeter from the Medical Research Council (MRC)/UKRI). Nurul H. Amir is supported by the Government of Malaysia under Majlis Amanah Rakyat (MARA) agency. Curtis A. Wadey is supported by an industrial PhD studentship from the University of Exeter and Canon Medical Systems UK Ltd.

Data Availability Statement

Data available on request.

Acknowledgments

The views expressed are those of the authors and not necessarily those of the National Health Service, NIHR, or Department of Health.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wilkinson, J.D.; Landy, D.C.; Colan, S.D.; Towbin, J.A.; Sleeper, L.A.; Orav, E.J.; Cox, G.F.; Canter, C.E.; Hsu, D.T.; Webber, S.A.; et al. The Pediatric Cardiomyopathy Registry and Heart Failure: Key Results from the First 15 Years. Heart Fail. Clin. 2010, 6, 401–413. [Google Scholar] [CrossRef] [Green Version]
  2. Norrish, G.; Ding, T.; Field, E.; Ziółkowska, L.; Olivotto, I.; Limongelli, G.; Anastasakis, A.; Weintraub, R.; Biagini, E.; Ragni, L.; et al. Development of a Novel Risk Prediction Model for Sudden Cardiac Death in Childhood Hypertrophic Cardiomyopathy (HCM Risk-Kids). JAMA Cardiol. 2019, 4, 918–927. [Google Scholar] [CrossRef]
  3. Jefferies, J.L.; Wilkinson, J.D.; Sleeper, L.A.; Colan, S.D.; Lu, M.; Pahl, E.; Kantor, P.F.; Everitt, M.D.; Webber, S.A.; Kaufman, B.D.; et al. Cardiomyopathy Phenotypes and Outcomes for Children With Left Ventricular Myocardial Noncompaction: Results From the Pediatric Cardiomyopathy Registry. J. Card. Fail. 2015, 21, 877–884. [Google Scholar] [CrossRef] [Green Version]
  4. Te Riele, A.S.J.M.; James, C.A.; Sawant, A.C.; Bhonsale, A.; Groeneweg, J.A.; Mast, T.P.; Murray, B.; Tichnell, C.; Dooijes, D.; Van Tintelen, J.P.; et al. Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy in the Pediatric Population Clinical Characterization and Comparison with Adult-Onset Disease. JACC Clin. Electrophysiol. 2015, 1, 551–560. [Google Scholar] [CrossRef] [PubMed]
  5. Tower-Rader, A.; Mohananey, D.; To, A.; Lever, H.M.; Popovic, Z.B.; Desai, M.Y. Prognostic Value of Global Longitudinal Strain in Hypertrophic Cardiomyopathy: A Systematic Review of Existing Literature. JACC Cardiovasc. Imaging 2019, 12, 1930–1942. [Google Scholar] [CrossRef]
  6. Haugaa, K.H.; Goebel, B.; Dahlslett, T.; Meyer, K.; Jung, C.; Lauten, A.; Figulla, H.R.; Poerner, T.C.; Edvardsen, T. Risk Assessment of Ventricular Arrhythmias in Patients with Nonischemic Dilated Cardiomyopathy by Strain Echocardiography. J. Am. Soc. Echocardiogr. 2012, 25, 667–673. [Google Scholar] [CrossRef]
  7. Peters, F.; Khandheria, B.K.; Libhaber, E.; Maharaj, N.; Dos Santos, C.; Matioda, H.; Essop, M.R. Left ventricular twist in left ventricular noncompaction. Eur. Heart J. Cardiovasc. Imaging 2014, 15, 48–55. [Google Scholar] [CrossRef]
  8. Leren, I.S.; Saberniak, J.; Haland, T.F.; Edvardsen, T.; Haugaa, K.H. Combination of ECG and Echocardiography for Identification of Arrhythmic Events in Early ARVC. JACC Cardiovasc. Imaging 2017, 10, 503–513. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Verdonschot, J.A.J.; Merken, J.J.; Brunner-La Rocca, H.P.; Hazebroek, M.R.; Eurlings, C.G.M.J.; Thijssen, E.; Wang, P.; Weerts, J.; van Empel, V.; Schummers, G.; et al. Value of Speckle Tracking–Based Deformation Analysis in Screening Relatives of Patients with Asymptomatic Dilated Cardiomyopathy. JACC Cardiovasc. Imaging 2020, 13, 549–558. [Google Scholar] [CrossRef] [PubMed]
  10. Réant, P.; Hauer, A.D.; Castelletti, S.; Pantazis, A.; Rosmini, S.; Cheang, M.H.; Peyrou, J.; Tomé-Esteban, M.; Syrris, P.; Lafitte, S.; et al. Epicardial myocardial strain abnormalities may identify the earliest stages of arrhythmogenic cardiomyopathy. Int. J. Cardiovasc. Imaging 2016, 32, 593–601. [Google Scholar] [CrossRef] [Green Version]
  11. Bellavia, D.; Michelena, H.I.; Martinez, M.; Pellikka, P.A.; Bruce, C.J.; Connolly, H.M.; Villarraga, H.R.; Veress, G.; Oh, J.K.; Miller, F.A. Speckle myocardial imaging modalities for early detection of myocardial impairment in isolated left ventricular non-compaction. Heart 2010, 96, 440–447. [Google Scholar] [CrossRef]
  12. Taha, K.; te Rijdt, W.P.; Verstraelen, T.E.; Cramer, M.J.; de Boer, R.A.; de Bruin-Bon, R.H.A.C.M.; Bouma, B.J.; Asselbergs, F.W.; Wilde, A.A.M.; van den Berg, M.P.; et al. Early Mechanical Alterations in Phospholamban Mutation Carriers: Identifying Subclinical Disease Before Onset of Symptoms. JACC Cardiovasc. Imaging 2020. [Google Scholar] [CrossRef]
  13. Taha, K.; Mast, T.P.; Cramer, M.J.; van der Heijden, J.F.; Asselbergs, F.W.; Doevendans, P.A.; Teske, A.J. Evaluation of Disease Progression in Arrhythmogenic Cardiomyopathy: The Change of Echocardiographic Deformation Characteristics Over Time. JACC Cardiovasc. Imaging 2020, 13, 631–634. [Google Scholar] [CrossRef]
  14. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef] [Green Version]
  15. Wells, G.A.; Tugwell, P.; O’Connell, D.; Welch, V.; Peterson, J.; Shea, B.; Losos, M. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomized Studies in Meta-Analyses; Ottawa Hospital Research Institute: Ottawa, ON, Canada, 2015. [Google Scholar]
  16. Yubbu, P.; Nawaytou, H.M.; Calderon-Anyosa, R.; Banerjee, A. Diagnostic value of myocardial deformation pattern in children with noncompaction cardiomyopathy. Int. J. Cardiovasc. Imaging 2018, 34, 1529–1539. [Google Scholar] [CrossRef] [PubMed]
  17. Nawaytou, H.M.; Montero, A.E.; Yubbu, P.; Calderón-Anyosa, R.J.C.; Sato, T.; O’Connor, M.J.; Miller, K.D.; Ursell, P.C.; Hoffman, J.I.E.; Banerjee, A. A Preliminary Study of Left Ventricular Rotational Mechanics in Children with Noncompaction Cardiomyopathy: Do They Influence Ventricular Function? J. Am. Soc. Echocardiogr. 2018, 31, 951–961. [Google Scholar] [CrossRef] [Green Version]
  18. Zwetsloot, P.P.; Van Der Naald, M.; Sena, E.S.; Howells, D.W.; IntHout, J.; De Groot, J.A.H.; Chamuleau, S.A.J.; MacLeod, M.R.; Wever, K.E. Standardized mean differences cause funnel plot distortion in publication bias assessments. eLife 2017, 6. [Google Scholar] [CrossRef]
  19. Campbell, M.; McKenzie, J.E.; Sowden, A.; Katikireddi, S.V.; Brennan, S.E.; Ellis, S.; Hartmann-Boyce, J.; Ryan, R.; Shepperd, S.; Thomas, J.; et al. Synthesis without meta-analysis (SWiM) in systematic reviews: Reporting guideline. BMJ 2020, 368, 1–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Harrison, S.; Jones, H.E.; Martin, R.M.; Lewis, S.J.; Higgins, J.P.T. The albatross plot: A novel graphical tool for presenting results of diversely reported studies in a systematic review. Res. Synth. Methods 2017, 8, 281–289. [Google Scholar] [CrossRef] [Green Version]
  21. Sabatino, J.; Di Salvo, G.; Prota, C.; Bucciarelli, V.; Josen, M.; Paredes, J.; Borrelli, N.; Sirico, D.; Prasad, S.; Indolfi, C.; et al. Left Atrial Strain to Identify Diastolic Dysfunction in Children with Cardiomyopathies. J. Clin. Med. 2019, 8, 1243. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Jin, S.M.; Noh, C.I.; Bae, E.J.; Choi, J.Y.; Yun, Y.S. Decreased Left Ventricular Torsion and Untwisting in Children with Dilated Cardiomyopathy. J. Korean Med. Sci. 2007, 22, 633. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Friedberg, M.K.; Slorach, C. Relation Between Left Ventricular Regional Radial Function and Radial Wall Motion Abnormalities Using Two-Dimensional Speckle Tracking in Children With Idiopathic Dilated Cardiomyopathy. Am. J. Cardiol. 2008, 102, 335–339. [Google Scholar] [CrossRef]
  24. Labombarda, F.; Blanc, J.; Pellissier, A.; Stos, B.; Gaillard, C.; Bajolle, F.; Maltret, A.; Sidi, D.; Bonnet, D.; Boudjemline, Y. Health-e-Child Project: Mechanical Dyssynchrony in Children with Dilated Cardiomyopathy. J. Am. Soc. Echocardiogr. 2009, 22, 1289–1295. [Google Scholar] [CrossRef]
  25. Agha, H.M.; Ibrahim, H.; El Satar, I.A.; El Rahman, N.A.; El Aziz, D.A.; Salah, Z.; El Saeidi, S.; Mostafa, F.; Attia, W.; El Rahman, M.A.; et al. Forgotten Right Ventricle in Pediatric Dilated Cardiomyopathy. Pediatr. Cardiol. 2017, 38, 819–827. [Google Scholar] [CrossRef] [PubMed]
  26. Maher, E.; Elshehaby, W.; El Amrousy, D.; El Razaky, O. Left Ventricular Layer-Specific Myocardial Strains in Children with Recovered Primary Dilated Cardiomyopathy: What Lies Beneath the Iceberg? Pediatr. Cardiol. 2020, 41, 101–107. [Google Scholar] [CrossRef] [PubMed]
  27. Prinz, C.; Faber, L.; Horstkotte, D.; Körperich, H.; Moysich, A.; Haas, N.; Kececioglu, D.; Thorsten Laser, K. Evaluation of left ventricular torsion in children with hypertrophic cardiomyopathy. Cardiol. Young 2008, 24, 245–252. [Google Scholar] [CrossRef] [PubMed]
  28. Forsey, J.; Benson, L.; Rozenblyum, E.; Friedberg, M.K.; Mertens, L. Early changes in apical rotation in genotype positive children with hypertrophic cardiomyopathy mutations without hypertrophic changes on two-dimensional imaging. J. Am. Soc. Echocardiogr. 2014, 27, 215–221. [Google Scholar] [CrossRef]
  29. Pieles, G.E.; Alkon, J.; Manlhiot, C.; Fan, C.-P.S.; Kinnear, C.; Benson, L.N.; Mital, S.; Friedberg, M.K. Association between genetic variants in the HIF1A-VEGF pathway and left ventricular regional myocardial deformation in patients with hypertrophic cardiomyopathy. Pediatr. Res. 2020, 1–10. [Google Scholar] [CrossRef]
  30. Ari, M.E.; Cetin, I.I.; Kocabas, A.; Ekici, F.; Ceylan, O.; Surucu, M. Decreased Deformation in Asymptomatic Children with Isolated Left Ventricular Non-compaction and Normal Ejection Fraction. Pediatr. Cardiol. 2016, 37, 201–207. [Google Scholar] [CrossRef]
  31. Jenni, R.; Oechslin, E.; Schneider, J.; Attenhofer Jost, C.; Kaufmann, P.A. Echocardiographic and pathoanatomical characteristics of isolated left ventricular non-compaction: A step towards classification as a distinct cardiomyopathy. Heart 2001, 86, 666–671. [Google Scholar] [CrossRef] [Green Version]
  32. Stöllberger, C.; Gerecke, B.; Finsterer, J.; Engberding, R. Refinement of echocardiographic criteria for left ventricular noncompaction. Int. J. Cardiol. 2013, 165, 463–467. [Google Scholar] [CrossRef]
  33. Chin, T.K.; Perloff, J.K.; Williams, R.G.; Jue, K.; Mohrmann, R. Isolated noncompaction of left ventricular myocardium. A study of eight cases. Circulation 1990, 82, 507–513. [Google Scholar] [CrossRef] [Green Version]
  34. Sabatino, J.; Di Salvo, G.; Krupickova, S.; Fraisse, A.; Prota, C.; Bucciarelli, V.; Josen, M.; Paredes, J.; Sirico, D.; Voges, I.; et al. Left Ventricular Twist Mechanics to Identify Left Ventricular Noncompaction in Childhood. Circ. Cardiovasc. Imaging 2019, 12, e007805. [Google Scholar] [CrossRef] [Green Version]
  35. Petersen, S.E.; Selvanayagam, J.B.; Wiesmann, F.; Robson, M.D.; Francis, J.M.; Anderson, R.H.; Watkins, H.; Neubauer, S. Left ventricular non-compaction: Insights from cardiovascular magnetic resonance imaging. J. Am. Coll. Cardiol. 2005, 46, 101–105. [Google Scholar] [CrossRef] [Green Version]
  36. Pieles, G.E.; Grosse-Wortmann, L.; Hader, M.; Fatah, M.; Chungsomprasong, P.; Slorach, C.; Hui, W.; Fan, C.-P.P.S.; Manlhiot, C.; Mertens, L.; et al. Association of Echocardiographic Parameters of Right Ventricular Remodeling and Myocardial Performance With Modified Task Force Criteria in Adolescents With Arrhythmogenic Right Ventricular Cardiomyopathy. Circ. Cardiovasc. Imaging 2019, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Marcus, F.I.; McKenna, W.J.; Sherrill, D.; Basso, C.; Bauce, B.; Bluemke, D.A.; Calkins, H.; Corrado, D.; Cox, M.G.P.J.; Daubert, J.P.; et al. Diagnosis of arrhythmogenic right ventricular cardiomyopathy/dysplasia. Eur. Heart J. 2010, 31, 806–814. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Van Der Bijl, P.; Bootsma, M.; Hiemstra, Y.L.; Ajmone Marsan, N.; Bax, J.J.; Delgado, V. Left ventricular 2D speckle tracking echocardiography for detection of systolic dysfunction in genetic, dilated cardiomyopathies. Eur. Heart J. Cardiovasc. Imaging 2019, 20, 694–699. [Google Scholar] [CrossRef]
  39. Saito, M.; Okayama, H.; Yoshii, T.; Higashi, H.; Morioka, H.; Hiasa, G.; Sumimoto, T.; Inaba, S.; Nishimura, K.; Inoue, K.; et al. Clinical significance of global two-dimensional strain as a surrogate parameter of myocardial fibrosis and cardiac events in patients with hypertrophic cardiomyopathy. Eur. Heart J. Cardiovasc. Imaging 2012, 13, 617–623. [Google Scholar] [CrossRef] [PubMed]
  40. Poterucha, J.T.; Kutty, S.; Lindquist, R.K.; Li, L.; Eidem, B.W. Changes in left ventricular longitudinal strain with anthracycline chemotherapy in adolescents precede subsequent decreased left ventricular ejection fraction. J. Am. Soc. Echocardiogr. 2012, 25, 733–740. [Google Scholar] [CrossRef] [PubMed]
  41. Saito, M.; Okayama, H.; Yoshii, T.; Hiasa, G.; Sumimoto, T.; Inaba, S.; Nishimura, K.; Inoue, K.; Ogimoto, A.; Ohtsuka, T.; et al. The differences in left ventricular torsional behavior between patients with hypertrophic cardiomyopathy and hypertensive heart disease. Int. J. Cardiol. 2011, 150, 301–306. [Google Scholar] [CrossRef] [PubMed]
  42. Chang, S.A.; Kim, H.K.; Kim, D.H.; Kim, J.C.; Kim, Y.J.; Kim, H.C.; Sohn, D.W.; Oh, B.H.; Park, Y.B. Left ventricular twist mechanics in patients with apical hypertrophic cardiomyopathy: Assessment with 2D speckle tracking echocardiography. Heart 2010, 96, 49–55. [Google Scholar] [CrossRef] [PubMed]
  43. DeWitt, E.S.; Chandler, S.F.; Hylind, R.J.; Beausejour Ladouceur, V.; Blume, E.D.; VanderPluym, C.; Powell, A.J.; Fynn-Thompson, F.; Roberts, A.E.; Sanders, S.P.; et al. Phenotypic Manifestations of Arrhythmogenic Cardiomyopathy in Children and Adolescents. J. Am. Coll. Cardiol. 2019, 74, 346–358. [Google Scholar] [CrossRef] [PubMed]
  44. Farsalinos, K.E.; Daraban, A.M.; Ünlü, S.; Thomas, J.D.; Badano, L.P.; Voigt, J.U. Head-to-Head Comparison of Global Longitudinal Strain Measurements among Nine Different Vendors: The EACVI/ASE Inter-Vendor Comparison Study. J. Am. Soc. Echocardiogr. 2015, 28, 1171–1181.e2. [Google Scholar] [CrossRef] [PubMed]
Figure 1. PRISMA flowchart of screened, included and excluded studies.
Figure 1. PRISMA flowchart of screened, included and excluded studies.
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Figure 2. Albatross plot showing estimated standardized mean differences contours (curved lines), p values for difference between inherited cardiomyopathy and controls (horizontal axis) and study sample size (vertical axis) of speckle tracking measurements by cardiomyopathy type in (A). Dilated cardiomyopathy; (B). Hypertrophic cardiomyopathy (C). Left ventricular non-compaction. Negative association–lower values (including more negative) associated with disease; positive association–higher values (including less negative) associated with disease. A4C, apical four chamber view; GLS, global longitudinal strain; rot, rotation; Sl, longitudinal strain; Sc, circumferential strain; Sr, radial strain.
Figure 2. Albatross plot showing estimated standardized mean differences contours (curved lines), p values for difference between inherited cardiomyopathy and controls (horizontal axis) and study sample size (vertical axis) of speckle tracking measurements by cardiomyopathy type in (A). Dilated cardiomyopathy; (B). Hypertrophic cardiomyopathy (C). Left ventricular non-compaction. Negative association–lower values (including more negative) associated with disease; positive association–higher values (including less negative) associated with disease. A4C, apical four chamber view; GLS, global longitudinal strain; rot, rotation; Sl, longitudinal strain; Sc, circumferential strain; Sr, radial strain.
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Figure 3. Albatross plot showing estimated standardized mean differences contours (curved lines), p values for difference between inherited cardiomyopathies and controls (horizontal axis) and study sample size (vertical axis) of conventional echocardiographic measurements by cardiomyopathy type in (A). Dilated cardiomyopathy; (B). Hypertrophic cardiomyopathy (C). Left ventricular non-compaction. Negative association–lower values (including more negative) associated with disease; positive association–higher values (including less negative) associated with disease.
Figure 3. Albatross plot showing estimated standardized mean differences contours (curved lines), p values for difference between inherited cardiomyopathies and controls (horizontal axis) and study sample size (vertical axis) of conventional echocardiographic measurements by cardiomyopathy type in (A). Dilated cardiomyopathy; (B). Hypertrophic cardiomyopathy (C). Left ventricular non-compaction. Negative association–lower values (including more negative) associated with disease; positive association–higher values (including less negative) associated with disease.
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Figure 4. Funnel plot of Standardized Mean Difference (SMD) and SMD standard error with pseudo 95% CI limits for all study measurements, showing no significant asymmetry, which suggests low risk of publication bias. Eggert test p value is 0.08.
Figure 4. Funnel plot of Standardized Mean Difference (SMD) and SMD standard error with pseudo 95% CI limits for all study measurements, showing no significant asymmetry, which suggests low risk of publication bias. Eggert test p value is 0.08.
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Figure 5. Newcastle Ottawa scale risk of bias evaluation results. Total maximum is 9 points, Selection is 3 points, Comparability is 2 points and Exposure is 4 points. Semi qualitative subjective risk of bias grading is green for low risk, orange for some concerns and red for high risk.
Figure 5. Newcastle Ottawa scale risk of bias evaluation results. Total maximum is 9 points, Selection is 3 points, Comparability is 2 points and Exposure is 4 points. Semi qualitative subjective risk of bias grading is green for low risk, orange for some concerns and red for high risk.
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Table 1. Summary of included studies.
Table 1. Summary of included studies.
SourceInherited Cardiomyopathy Diagnosis CriteriaStudy Size, No.Mean Age, y (sd)Male, No. (%)STE Measurements
CardiomyopathyControlsCardiomyopathyControlsCardiomyopathyControls
Dilated cardiomyopathy (DCM)
Jin et al. [22]Not specified10175.9 (4.6)6 (4.2)7 (70)12 (70.5) basal Sc, basal Sr, rotational mechanics
Friedberg et al. [23]LVEDD > 2 SD
LVEF < 55%
241610 (6)10 (6)11 (45.8)4 (25)mid Sr
Labombarda et al. [24]LVEDD > 2 SD
LVEF < 50%
25257.8 (4.9)7.8 (4.9)17 (68)17 (68)dyssynchrony parameters
Agha et al. [25]Not specified32325.1 (4.4)5.88 (3.92)19 (59.4)20 (62.5)LV GLS
Sabatino et al. [21]LVEDD > 2 SD
LVEF < 50%
44455 (5.2)10.4 (4.7)21 (47.7)18 (40)LV A4C Sl
Maher et al. [26]Not specified50504.5 (1.8)4.6 (2)29 (58)27 (54)LV A4C Sl
Hypertrophic cardiomyopathy (HCM)
Prinz et al. [27]Clinical, ECG and echocardiographic criteria for hypertrophy, without other causes242014.1 (5.5)14.1 (5.5)14 (58.3)14 (70)rotational mechanics
Forsey et al. [28]Documented family history and genotype, with no hypertrophy14289.8 (4.5)9.8 (4.4)12 (85.7)23 (82.1)LV A4C Sl, basal/mid/apical Sc, rotational mechanics
Sabatino et al. [21]Wall thickness in any segment > 2.5 Z score and normal/increased LVEF404510.9 (5.5)10.4 (4.7)24 (60)18 (40)LV A4C Sl
Pieles et al. [29]Clinical, ECG and echocardiographic criteria, without other causes2506.1 (4.5) 19 (76) LV A4C Sl, basal Sc, basal Sr
Left ventricular non-compaction (LVNC)
Ari et al. [30] Jenni [31] criteria202012.1 (3.3)11.8 (3.1)16 (80)16 (80)LV A4C Sl, mid Sc
Yubbu et al. [16]
(Nawayotu et al. [17] first study, same cohort, reports 28 pts)
Jenni [31] Stollberger [32] and Chin [33] criteria30307.2 (5.6)8.4 (5.3)15 (50)14 (46.7)LV A4C Sl, basal/mid/apical Sc, basal/mid/apical Sr in Yubbu et al. [16]
rotational mechanics in Nawayotu et al. [17]
Sabatino et al. [34]Peterson [35] CMR criteria234711.3 (5.3)11.1 (5.3)12 (60)24 (40)LV A4C Sl, LV GLS, basal/mid/apical Sc, basal/mid/apical Sr, rotational mechanics
Arrhythmogenic cardiomyopathy (ACM)
Pieles et al. [36]ACM modified Task Force criteria [37]383515 (3)13 (4)26 (68.4)29 (82.9)RV Sl
A4C, apical 4 chamber view; CMR, cardiac magnetic resonance; GLS, global longitudinal strain; LV, left ventricle; LVEDD, left ventricular end-diastolic diameter; LVEF, left ventricular ejection fraction; RV, right ventricle; Sc, circumferential strain; Sl, longitudinal strain; Sr, radial strain; STE, speckle tracking echocardiography.
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Dorobantu, D.M.; Wadey, C.A.; Amir, N.H.; Stuart, A.G.; Williams, C.A.; Pieles, G.E. The Role of Speckle Tracking Echocardiography in the Evaluation of Common Inherited Cardiomyopathies in Children and Adolescents: A Systematic Review. Diagnostics 2021, 11, 635. https://doi.org/10.3390/diagnostics11040635

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Dorobantu DM, Wadey CA, Amir NH, Stuart AG, Williams CA, Pieles GE. The Role of Speckle Tracking Echocardiography in the Evaluation of Common Inherited Cardiomyopathies in Children and Adolescents: A Systematic Review. Diagnostics. 2021; 11(4):635. https://doi.org/10.3390/diagnostics11040635

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Dorobantu, Dan M., Curtis A. Wadey, Nurul H. Amir, A. Graham Stuart, Craig A. Williams, and Guido E. Pieles. 2021. "The Role of Speckle Tracking Echocardiography in the Evaluation of Common Inherited Cardiomyopathies in Children and Adolescents: A Systematic Review" Diagnostics 11, no. 4: 635. https://doi.org/10.3390/diagnostics11040635

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