Submitted:
20 September 2024
Posted:
23 September 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Design and Population
2.2. Inclusion and Exclusion Criteria
2.3. Data Collection
2.4. Statistical Data Analysis
3. Results
3.1. Epidemiological and Clinical Differences
3.2. Laboratory Tests Comparison
3.3. Echocardiographical Differences
3.4. Heart Magnetic Resonance Imaging Differences between the Groups
3.5. Treatment Differences
3.6. 6 Months Echocardiographical Follow-Up
4. Discussion
5. Conclusions
6. Limitations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, et al. Global burden of cardiovascular diseases and risk factors, 1990–2019. Journal of the American College of Cardiology. 2020 Dec;76(25):2982–3021. doi:10.1016/j.jacc.2020.11.010.
- Ammirati E, Moslehi JJ. Diagnosis and Treatment of Acute Myocarditis. JAMA. 2023 Apr 4;329(13):1098. doi: 10.1001/jama.2023.3371.
- Caforio ALP, Pankuweit S, Arbustini E, Basso C, Gimeno-Blanes J, Felix SB, et al. Current state of knowledge on aetiology, diagnosis, management, and therapy of myocarditis: a position statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases. European Heart Journal. 2013 Jul 3;34(33):2636–48. doi: https://doi.org/10.1093/eurheartj/eht210.
- Buttà C, Zappia L, Laterra G, Roberto M. Diagnostic and prognostic role of electrocardiogram in acute myocarditis: A comprehensive review. Annals of Noninvasive Electrocardiology. 2019 Nov 28;25(3). doi: https://doi.org/10.1111/anec.12726.
- Piccirillo F, Watanabe M, Di Sciascio G. Diagnosis, treatment and predictors of prognosis of myocarditis. A narrative review. Cardiovascular Pathology. 2021 Sep;54:107362. doi: 10.1016/j.carpath.2021.107362.
- Biesbroek PS, Beek AM, Germans T, Niessen HWM, van Rossum AC. Diagnosis of myocarditis: Current state and future perspectives. International Journal of Cardiology. 2015 Jul;191:211–9. doi: https://doi.org/10.1016/j.ijcard.2015.05.008.
- Goitein O, Sabag A, Koperstein R, Hamdan A, Di Segni E, Konen E, et al. Role of C reactive protein in evaluating the extent of myocardial inflammation in acute myocarditis. Journal of Cardiovascular Magnetic Resonance. 2015 Feb 3;17(S1). doi: https://doi.org/10.1186/1532-429x-17-s1-p291.
- Chapman AR, Adamson PD, Shah ASV, Anand A, Strachan FE, Ferry AV, et al. High-Sensitivity Cardiac Troponin and the Universal Definition of Myocardial Infarction. Circulation. 2020 Jan 21;141(3):161–71.
- Chaulin AM. Elevation Mechanisms and Diagnostic Consideration of Cardiac Troponins under Conditions Not Associated with Myocardial Infarction. Part 1. Life. 2021 Sep 2;11(9):914. doi: https://doi.org/10.3390/life11090914.
- Ammirati E, Frigerio M, Adler ED, Basso C, Birnie DH, Brambatti M, et al. Management of Acute Myocarditis and Chronic Inflammatory Cardiomyopathy. Circulation: Heart Failure. 2020 Nov;13(11). doi: https://doi.org/10.1161/circheartfailure.120.007405.
- Blauwet LA, Cooper LT. Antimicrobial agents for myocarditis: target the pathway, not the pathogen. Heart. 2009 Jul 16;96(7):494–5. doi: https://doi.org/10.1136/hrt.2009.173740.
- Kociol RD, Cooper LT, Fang JC, Moslehi JJ, Pang PS, Sabe MA, et al. Recognition and Initial Management of Fulminant Myocarditis. Circulation. 2020 Feb 11;141(6). doi: https://doi.org/10.1161/cir.0000000000000745.
- Piccirillo F, Watanabe M, Di Sciascio G. Diagnosis, treatment and predictors of prognosis of myocarditis. A narrative review. Cardiovascular Pathology. 2021 Sep;54:107362. doi: https://doi.org/10.1016/j.carpath.2021.107362.
- Attia ZI, Harmon DM, Behr ER, Friedman PA. Application of artificial intelligence to the electrocardiogram. European Heart Journal. 2021 Sep 17;42(46):4717–30. doi: https://doi.org/10.1093/eurheartj/ehab649.


| STE pattern group (25) | Non-STE pattern group (13) | P value | |
|---|---|---|---|
| Age (years) | 31.88±6.70 | 30.23±11.28 | 0.574 |
| Male gender | 24 (96.00%) | 9 (69.23%) | 0.038 |
| Female gender | 1 (4.00%) | 4 (30.77%) | |
| BMI (kg/m2) | 25.78±3.95 | 29.05±5.39 | 0.049 |
| Heart rate (bpm) | 80.84±13.10 | 79.00±12.23 | 0.672 |
| Systolic blood pressure (mmHg) | 123.16±13.20 | 132.85±15.87 | 0.073 |
| Diastolic blood pressure (mmHg) | 76.80±9.36 | 83.38±7.57 | 0.026 |
| In-hospital days | 7.96±3.59 | 7.08±2.18 | 0.353 |
| Presence of infection | 21 (84.00%) | 6 (46.15%) | 0.024 |
| STE pattern group (25) | Non-STE pattern group (13) | P value | |
|---|---|---|---|
| Maximum troponin I levels (mcg/ml) | 15.71 ± 26.72 | 8.08 ± 7.02 | 0.200 |
| Troponin I levels at the discharge (mcg/ml) | 0.32 ± 0.74 | 0.18 ± 0.31 | 0.301 |
| CRP at hospitalization (mg/l) | 103.40 ± 82.04 | 43.54 ± 61.93 | 0.017 |
| CRP at the discharge (mg/l) | 12.02 ± 10.82 | 7.10 ± 3.62 | 0.002 |
| Hemoglobin (g/l) | 141.16 ± 14.12 | 143.15 ± 9.34 | 0.606 |
| Leukocytes (x109/l) | 9.35 ± 4.01 | 8.17 ± 4.19 | 0.411 |
| Neutrophyles (x109/l) | 6.85 ± 3.71 | 5.45 ± 4.05 | 0.306 |
| Lymphocytes (x109/l) | 1.43 ± 0.61 | 1.61 ± 0.65 | 0.416 |
| Plasma creatinine concentration (mcmol/l) | 75.84 ± 18.42 | 74.69 ± 12.45 | 0.822 |
| BNP levels (ng/l) | 75.77 ± 104.18 | 35.08 ± 38.73 | 0.144 |
| Mean concentration at the time of the admission | Mean concentration at the time of the discharge | P value | |
|---|---|---|---|
| Troponin I levels (mcg/l) | 12.34 ± 24.16 | 0.27 ± 0.60 | 0.010 |
| CRP levels (mg/l) | 82.92 ± 80.24 | 10.34 ± 9.26 | <0.001 |
| STE pattern group (25) | Non-STE pattern group (13) | P value | |
|---|---|---|---|
| LVEDD | 48.82±3.55 | 50.69±4.05 | 0.180 |
| LVEDDi | 23.66±1.95 | 24.00±2.56 | 0.691 |
| LVMI | 88.55±23.03 | 88.61±19.81 | 0.994 |
| LVEF | 49.71±4.14 | 56.58±3.99 | <0.001 |
| LV strain | 16.31±3.82 | 18.93±3.83 | 0.228 |
| Diastolic dysfunction | 7 (28.00%) | 3 (23.08%) | 1.000 |
| Pericardial involvment | 4 (16.00%) | 2 (15.38%) | 1.000 |
| STE pattern group (25) | Non-STE pattern group (13) | P value | |
|---|---|---|---|
| LVEF | 59.95±5.40 | 58.23±7.61 | 0.112 |
| EDV | 194.53±32.42 | 185.51±29.57 | 0.342 |
| Indexed EDV | 94.07±12.72 | 88.36±10.95 | 0.682 |
| ESV | 77.92±17.80 | 78.29±22.65 | 0.158 |
| Indexed ESV | 37.84±7.93 | 37.14±9.14 | 0.189 |
| SV | 116.21±19.74 | 106.76±15.62 | 0.945 |
| Indexed SV | 60.05±23.09 | 51.07±7.56 | 0.811 |
| LVMI | 77.07±13.72 | 74.79±10.65 | 0.087 |
| Relaxation time T1 | 1339.53±111.03 | 1343.69±116.82 | 0.919 |
| Relaxation time T2 | 42.74±6.39 | 46.15±7.04 | 0.165 |
| Prescribed treatment | STE pattern group (25) | Non-STE pattern group (13) |
|---|---|---|
| No specific treatment | 7 (28%) | 2 (15.38%) |
| Antibiotics | 2 (8%) | 0 (0%) |
| Optimal heart failure treatment | 1 (4%) | 7 (53.85%) |
| Beta-adrenoblockers | 6 (24%) | 2 (15.38%) |
| Antibiotics and optimal heart failure treatment | 9 (36%) | 2 (15.38%) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).