2D speckle-tracking echocardiography as a prognostic imaging modality for COVID-19 adverse outcomes
Abstract
2D speckle-tracking echocardiography (2D-STE) has been used to assess cardiac recovery during the COVID-19 patient follow-ups within the pandemic. The novel role of STE in predicting adverse outcomes of COVID-19 has received attention due to its high sensitivity in identifying subclinical myocardial dysfunction. We reviewed the studies on using 2D-STE to assess COVID-19 prognosis. A literature search was conducted on PubMed and Scopus for eligible articles, 24 of which discussed using prognostic 2D-STE for COVID-19 patients. 2D-STE predicts cardiovascular impairments more rapidly and precisely than conventional echocardiography. The 2D-STE technique presents an independent prognostic factor in COVID-19 infection. 2D-STE could be considered a time-efficient and accurate risk predictor of all-cause mortality in COVID-19 patients.
Plain language summary
In this review, we have gathered every article that discusses the association between COVID-19 prognosis and speckle-tracking echocardiography, which is a novel, fast and accurate method and does not need expert operators to perform. We have shown that according to the current literature, we can use this imaging technique on the right and left heart ventricles to estimate the prognosis of the patients infected with COVID-19.
Initially known as a respiratory tract infection, coronavirus disease 2019 (COVID-19) is a multi-organ inflammatory disease that has led to high mortality and morbidity rates worldwide [1,2]. Several documents have addressed cardiorespiratory involvement as the most significant predictor of mortality in patients with COVID-19 infection [3]. Myocardial damage and heart failure are more incident in patients with severe COVID-19 infection [2]. Henceforth, early evaluation of lungs and heart function might prompt better disease outcomes.
Cardiovascular involvement in COVID-19 infection may be due to direct myocardial injury, increased systemic inflammatory response, hypoxia or micro-thrombogenesis resulting from a hypercoagulable state [4,5]. Several previous articles have indicated that the multi-systemic inflammation that occurs in COVID-19 infection may lead to multi-organ damage [4,5]. The other proposed mechanism of heart failure is increased right ventricular afterload due to severe respiratory infection [6]. Hence, assessing cardiac structure and function can provide helpful information regarding COVID-19 mortality. Since conventional Two-dimensional echocardiography _the most common modality of use lacks information about the intrinsic properties of the myocardium, some other techniques are being used to compensate for shortcomings. Speckle-tracking echocardiography (STE) can identify myocardial dysfunction and subclinical myocardial impairment [7]. STE also detects left ventricular (LV) dysfunction more sensitively than conventional echocardiography [8–10].
We herein aim to examine the role of 2D-STE as novel method in predicting adverse outcomes in COVID-19 patients. We have reported the prognostic value of 2D-STE imaging for each cardiac chamber individually.
Methods
A review of the scientific literature was performed to investigate available articles focusing on the application of STE in COVID-19 patients as an imaging predicting parameter. A comprehensive literature search was performed on PubMed and Scopus to identify suitable studies that were published until March 2022. Our search strategy is as follows: Initially, a manual search was applied in PubMed. The resulting articles were used to obtain the list of keywords and Medical Subject Headings (mesh) terms. The search strategy was repeated multiple times in PubMed and Scopus search engines until the keywords list was completed and no further studies were found. Subsequently, a manual search of the bibliography was performed to find other potentially eligible studies. Search results were screened by title and abstract, and potentially eligible studies were further investigated based on full text. Throughout the review, no language restriction was applied. Data extraction was performed using the double data extraction method by two independent reviewers (FY, EG), followed by a scrutinous review of both included and excluded articles by two other members of the team (IK, AR).
Results
We included 24 articles in our study, of which 20 were original, and the remaining 4 were either editorial, letters to the editor, or short communication. (Table 1) The sample size of the studies ranged from 9 to 428 patients. All patients had laboratory-confirmed COVID-19 infection as the inclusion criteria in each original research reviewed. While all of the included articles used 2D-STE, the studies differ in the specific type of strains measured, as shown in Table 2. The most common outcome under investigation was the association between strain measures and mortality.
| Strain (number of article | Associated with (number of articles) | Not associated with (number of articles) |
|---|---|---|
| LV | ||
| GLS/LS (15) | Mortality (9) Intubation (1) Severity (1) Hospitalization (1) ARDS (1) | Mortality (4) Intubation (1) |
| GCS (2) | – | Mortality (1) Severity (1) |
| FWLS (1) | Intubation (1) | Mortality (1) |
| BLS (1) | – | Mortality (1) ICU admission (1) Intubation (1) |
| RV | ||
| RV-LS/GS/LS (12) | Mortality (5) Intubation (2) ICU admission (1) Hospitalization (1) | Mortality (4) Intubation (2) Severity (1) |
| FWS/FWLS/FWGLS (9) | Mortality (6) Severity (2) Intubation (1) | Mortality (2) Severity (1) Intubation (1) |
| TWGLS (1) | – | Severity (1) |
| LA | ||
| LAS/RA-LS (2) | Atrial fibrillation (1) | Mortality (1) |
| RA | ||
| RA-LS (1) | – | Mortality (1) |
| Study | Sample size | Age (years), mean ± SD/median | Male sex (%) | Strain | Comorbidities (%) | Decreased strain associated with: | Ref. | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| HF | CAD/ IHD | COPD/ Asthma | CKD | All-cause mortality | Other adverse outcome | ||||||
| Lassen et al. | 428 | 69 | 54.7 | LVGLS RVLS | 10.3 | 15.9 | 15 | NM | LVGLS was associated (HR = 1.28 per 1% decrease) RVLS was unclear | NM | [11] |
| Kim et al. | 34 | NM | NM | LVGLS RVTWGLS RVFWGLS | 0 | 0 | 2.5 | 2.5 | NM | LVGLS was associated with severity (OR = 1.99 per 1% increase) RVTWGLS and RVFWGLS were not associated with severity | [12] |
| Janus et al. | 31 | 64 | NM | LVGLS | NM | NM | NM | NM | LVGLS was associated (HR = 1.52 per 1% increase) | NM | [13] |
| Zhang et al. | 128 | 61.3 ± 13.1 | 67.7 | RVFWLS | 14.1† | NM | 5.5 | 0.8 | RVFWLS was associated | RVFWLS was associated with severity | [14] |
| Xie et al. | 132 | 61 ± 13 | 51.5 | LVGLS RV FWLS | NM | 14.4 | 3.8 | 0.8 | LVGLS (HR = 1.41) and RVFWLS (HR = 1.29) were associated | LVGLS and RVFWLS were associated with severity | [15] |
| Tryfou et al. | 100 | 47.2 | 51 | LVGLS RVGLS | NM | NM | 0 | NM | NM | LVGLS and RVGLS were associated with hospitalization | [16] |
| Temperikidis et al. | 9 | 61.6 | 77.8 | RVFWS | 0 | NM | 0 | 0 | RVFWS was associated | NM | [17] |
| Sun et al. | 160 | 62.1 ± 13.4 | 51.9 | LVLS RVFWLS | 16.9† | NM | 5.6 | 2.5 | LVLS and RVFWLS were associated | NM | [18] |
| Stockenhuber et al. | 34 | 72 ± 2.6 | 79 | RVLS | NM | 9 | 9 | 32 | RVLS was associated (HR = 3.19) | RVLS was not associated with intubation | [19] |
| Stöbe et al. | 18 | 64 ± 19.1 | 78 | LVGLS LVGCS RVGLS | NM | 11 | 5 | 39 | NM | LVGLS, LVGCS, and RVGLS were not associated with severity | [20] |
| Skaarup et al. | 174 | 68 ± 15 | 55 | LVGLS | 14† | NM | NM | NM | NM | LVGLS was associated with ARDS (HR = 1.18) | [21] |
| Sheehan et al. | 56 | 62.5 ± 15.2 | 66.1 | RVGLS LAGLS RAGLS | 26.8 | 17.9 | 30.4‡ | 26.8 | LAGLS, RVGLS, and RAGLS were not associated | NM | [22] |
| Rothschild et al. | 100 | 64.3 ± 20.7 | 64 | LVGLS LVFWLS RVFWLS RVLS | NM | NM | NM | NM | LVGLS was associated (HR = 0.8) LVFWLS, RVLS, and RVFWLS were not associated | LVFWLS was associated with intubation LVGLS, RVLS and RVFWLS were not associated with intubation | [23] |
| Park et al. | 48 | 58 ± 16 | 67 | LVGLS LVGCS RVGLS RVFWS | 6.2 | 10.4 | 8.3‡ | 18.8 | LVGLS was associated LVGCS, RVGLS, and RVFWS were not associated | NM | [24] |
| Minhas et al. | 136 | 62 | 58 | LVGLS | 15 | 15 | NM | NM | LVGLS was not associated | NM | [25] |
| Minardi et al. | 120 | NM | NM | RVFWLS | NM | NM | NM | NM | RVFWLS was associated | NM | [26] |
| Li et al. | 120 | 61 ± 14 | 48 | RVLS | NM | 9.2 | 5 | 14.2 | RVLS was associated (HR = 1.33) | NM | [27] |
| Baycan et al. | 100 | 56 | 51 | LVGLS RVLS | NM | 0 | 0 | NM | LVGLS (OR = 1.63) and RVLS (OR = 1.58) were associated | NM | [10] |
| Bagate et al. | 67 | 61 | 82.1 | LVGLS | 0 | NM | NM | NM | LVGLS was not associated | NM | [28] |
| Krishnamoorthy et al. | 12 | 57 | 41.7 | LVGLS RVFWS RVGS | NM | 16.7 | 8.3 | NM | RVGS and RVFWS were associated LVGLS was not associated | RVGS and RVFWS were associated with intubation LVGLS was not associated with intubation | [29] |
| Khani et al. | 207 | 54.5 ± 14.8 | 57.5 | LVGLS RVGLS | 0 | 17.4 | 5.8 | NM | LVGLS (OR = 0.2) and RVGLS (OR = 0.32) were associated | RVGLS (OR ICU admission = 0.29, OR intubation = 0.36) and LVGLS (OR ICU admission = 0.35, OR intubation = 0.35) were associated with ICU admission and intubation | [30] |
| Jain et al. | 52 | 59.9 | 60 | LVGLS RVGLS | 21 | 17 | 10 | NM | RVGLS and LVGLS were not associated | NM | [31] |
| Goerlich et al. | 75 | 61.9 ± 13.5 | 59 | BLS | 9 | 9 | NM | NM | BLS was not associated | BLS was not associated with ICU admission and intubation | [32] |
| Beyls et al. | 79 | NM | NM | LAS | NM | NM | 16.5 | 8.9 | NM | LAS (OR = 1.24) was associated with atrial fibrillation | [33] |
Left ventricle
Several strains were measured in the left ventricle, namely the global longitudinal strain or left ventricular longitudinal strain (GLS/LS), free wall longitudinal strain (FWLS), global circumferential strain (GCS), and basal longitudinal strain (BLS).
The most common strain measured for the left ventricle was GLS/LS, which appeared across 15 studies. Nine articles reported a significant association among the 13 studies focused on GLS/LS and mortality rate. Any associations other than mortality rate would be unconcluded since current literature lacks sufficient data for other adverse effects (e.g., ICU admission, intubation, hospitalization).
Right ventricle
In the right ventricle, the measured strains were as follows: (1) right ventricular longitudinal strain, or global strain, or longitudinal strain (RV-LS/GS/LS); (2) total wall global longitudinal strain (TWGLS); (3) free wall strain, free wall longitudinal strain, or free wall global longitudinal strain (FWS/ FWLS/ FWGLS); The most common of which being RV-LS/GS/LS (12-times) and FWS/FWLS/FWGLS (nine-times).
A significant correlation was observed between mortality rates and RV-LS measurements in 5 studies, whereas the other four did not show any associations. In the case of FWS, 6 of 8 articles reported a significant association with mortality rates.
Left & right atrium
LS was measured in both left and right atrium (LA-LS, RA-LS), resulting in a correlation between left atrial longitudinal strain and atrial fibrillation. However, neither left nor right global longitudinal strains were associated with mortality.
Discussion
Multiple factors could exacerbate cardiovascular function in critically ill COVID-19 patients, including systemic inflammatory response, hypoxemia, direct myocardial injury, myocarditis, arterial dysfunction, and pulmonary embolism [34–37]. Effective management of patients could be accomplished by using a reliable and straightforward predictor of mortality and adverse outcomes. Considering time efficiency and objective measuring methods of 2D-STE (i.e., Unlike conventional echocardiography, the operator's skills would not affect 2D-STE), this imaging modality can be used to determine the cardiac function and possible complications in a surge of critically ill patients and limited resources [35,38,39].
Patients evaluated with 2D-STE benefit from a highly sensitive quantitative approach for both global and regional myocardial function. For instance, GLS has a -20% cut-off value in identifying subjects at risk of developing cardiac events (18). 2D-STE would also allow us to detect subclinical cardiac dysfunction, as previously observed in patients with diabetes mellitus, hypertension, and nonobstructive coronary artery disease. 2D STE may ease the diagnosis of acute myocarditis when cardiac magnetic resonance (CMR) or endomyocardial biopsy (EMB) are unavailable [40–43]. Although STE has been frequently applied in follow-ups of COVID-19 patients thus far, the role of STE in predicting adverse cardiac outcomes have been undervalued [44–46]. We have concluded from this review that 2D-STE is a suitable technique for projecting the prognosis of the patients. But lack of sufficient research impedes us from discussing any correlations between 2D-STE measurements and ventilation rate, ICU admission, or infection severity. The results also show persistent regional abnormalities in the chronic phase of the COVID-19 disease, emphasizing the importance of long-term follow-ups. Nevertheless, the clinical significance of these findings is debatable, and future research is needed in this area.
This review highlights the potentially favorable role of 2D-STE in assessing the cardiovascular system in all COVID-19 patients. The current literature implies that left ventricular global longitudinal strain (LV GLS) and free wall global longitudinal strain (RV FWGLS) seem more reliable independent predictors of mortality rate, providing additional prognostic implications over conventional echocardiographic parameters of COVID-19 patients. Several limitations are applied in this new field of imaging in COVID-19 patients. First, there is a limited number of studies on pediatric patients with COVID-19 infection. In two of the literature, the only association examined was between global and regional strain measurements with the severity of multisystem inflammatory syndrome in children (MIS-C) [47–49].
Moreover, studies have demonstrated the link between co-morbidities such as heart failure, chronic kidney disease, and chronic obstructive pulmonary disease with decreasing strain values [50–55]. Because many patients in our included studies were senile and their co-morbid conditions could affect the findings' independence. Third, studies have only investigated 2D-STE among the adult population. The application of 2D-STE as a prognostic factor in pediatric patients needs further investigation.
It is worth mentioning that since STE detects subclinical myocardial dysfunction and impairment sensitively, it may also be a useful imaging modality for predicting outcomes in other multi-system inflammatory infectious diseases.
Conclusion
We have stated that 2D-STE could be considered as an additional risk predictor of all-cause mortality in COVID-19 patients. The significant advantage of 2D-STE is being time-efficient and easy to measure by non-experts. However, the association between 2D-STE results and ICU requirements, intubation rate, hospitalization, and COVID-19 severity has been controversial, according to the present literature.
Future perspective
Future research should consider the potential of 2D-STE in pediatric patients more carefully. Moreover, the role of atrial strains _especially left atrium_ in determining COVID-19 outcomes need further research which may lead to promising results. Third, the impact of 2D-STE on prognosing other multi-systemic inflammatory disorders and viral infections with a similar mechanism as COVID-19 may further help us to manage patients other than COVID-19 infection.
2D-STE is a novel, highly sensitive, fast, and objective modality that may benefit the management of COVID-19 patients.
24 articles that studied 2D-STE on each heart chamber were included in this review.
13 studies focused on the association between measurement of the strain GLS/LS of left ventricle and Mortality rate, nine of which found significant association.
In case of the right ventricle, five studies found significant association between RV-LS measurements and mortality.
Author contributions
E Goudarzi and F Yousefimoghaddam conducted the search, screened the articles and extracted and cleaned the data. A Ramandi and I Khaheshi evaluated the full-text eligibility of the articles, reviewed the search index, assessed the quality of articles and drafted the manuscript.
Financial & competing interests disclosure
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
No writing assistance was utilized in the production of this manuscript.
Papers of special note have been highlighted as: • of interest
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