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Luciano A, Luigi S, Mancuso L, Vito D, De Stasio V, Pugliese L, Donna CD, Garaci F, Floris R, Chiocchi M. Incidental findings of acute myocardial infarction detected during ECG-gated and nongated thoracic CTA: A report of four cases. Radiol Case Rep 2023; 18:2567-2573. [PMID: 37255698 PMCID: PMC10225819 DOI: 10.1016/j.radcr.2023.04.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 06/01/2023] Open
Abstract
Worldwide, myocardial infarction is a leading cause of mortality and disability. The phrase ``myocardial infarction'' refers to ischemia, which is the outcome of an imbalance in perfusion between supply and demand and results in the death of cardiac myocytes Myocardial ischemia is often diagnosed based on the patient's medical history and electrocardiogram (ECG) findings. Potential ischemic symptoms include a variety of chest, upper extremity, jaw, or epigastric pain or discomfort that typically lasts at least 20 minutes, is diffuse, not positional, not localized, not dependent on movement of the area, and may be accompanied by syncope, dyspnea, or nausea. These symptoms can occur at rest or after physical activity. These symptoms may be mistaken for other conditions since they are not specific to myocardial ischemia. Radiologists play a crucial role in this scenario since imaging is increasingly being used to identify and categorize these individuals. We report 4 cases of myocardial infarction presenting without chest pain and discovered incidentally during imaging tests.
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Juknevičienė R, Juknevičius V, Jasiūnas E, Raščiūtė B, Barysienė J, Matačiūnas M, Vitkus D, Laucevičius A, Šerpytis P. Chest pain in the emergency department: From score to core-A prospective clinical study. Medicine (Baltimore) 2022; 101:e29579. [PMID: 35866759 PMCID: PMC9302355 DOI: 10.1097/md.0000000000029579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
High-sensitivity troponin assay brought new challenges as we detect elevated concentration in many other diseases, and it became difficult to distinguish the real cause of this elevation. In this notion, diagnosis of acute coronary syndrome (ACS) remains a challenge in emergency department (ED). We aim to examine different approaches for rule-in and rule-out of ACS using risk scores, copeptin, and coronary computed tomography angiography (CCTA). A prospective observational study was designed to evaluate chest pain patients. Consecutive adult patients admitted to the ED with a chief complaint of chest pain due to any cause were included. All patients were followed-up for 6 months after discharge for major adverse cardiovascular events and readmissions. Admission data, ED processes, and diagnoses were analyzed. One hundred forty-six patients were included, average age was 63 ± 13.4 years, and 95 (65.1%) were male. Global Registry of Acute Coronary Events (GRACE) and History, ECG, Age, Risk factors, Troponin (HEART) scores showed good prognostic abilities, but HEART combination with copeptin improves diagnoses of myocardial infarction (area under the curve [AUC] 0.764 vs AUC 0.864 P = .0008). Patients with elevated copeptin were older, had higher risk scores, and were more likely to be admitted to hospital and diagnosed with ACS in ED. For copeptin, AUC was 0.715 (95% confidence interval 0.629-0.803), and for combination with troponin, AUC of 0.770 (0.703-0.855) did not improve rule-in of myocardial infarction. High-sensitivity troponin I assay alongside prior stroke, history of carotid stenosis, dyslipidemia, use of diuretics, and electrocardiogram changes (left bundle branch block or ST depression) are good predictors of myocardial infarction (χ² = 52.29, AUC = 0.875 [0.813-0.937], P < .001). The regression analysis showed that combination of copeptin and CCTA without significant stenosis can be used for ACS rule-out (χ² = 26.36, P < .001, AUC = 0.772 [0.681-0.863], negative predictive value of 96.25%). For rule-in of ACS, practitioner should consider not only scores for risk stratification but carefully analyze medical history and nonspecific electrocardiogram changes and even with normal troponin results, we strongly suggest thorough evaluation in chest pain unit. For rule-out of ACS combination of copeptin and CCTA holds great potential.
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Affiliation(s)
- Renata Juknevičienė
- Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Centre of Emergency Medicine, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
- *Correspondence: Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Santariškių g. 2, 08661 Vilnius, Lithuania (e-mail: )
| | - Vytautas Juknevičius
- Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Centre of Cardiology and Angiology, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Eugenijus Jasiūnas
- Centre of Informatics and Development, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Beatričė Raščiūtė
- Centre of Emergency Medicine, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Jūratė Barysienė
- Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Mindaugas Matačiūnas
- Department of Radiology, Nuclear Medicine and Medical Physics, Institute of Miomedical Science, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Dalius Vitkus
- Institute of Biomedical Science, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Centre of Laboratory Medicine, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Aleksandras Laucevičius
- Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Pranas Šerpytis
- Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Clinic of Emergency Medicine, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
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Pradella S, Mazzoni LN, Letteriello M, Tortoli P, Bettarini S, De Amicis C, Grazzini G, Busoni S, Palumbo P, Belli G, Miele V. FLORA software: semi-automatic LGE-CMR analysis tool for cardiac lesions identification and characterization. Radiol Med 2022; 127:589-601. [DOI: 10.1007/s11547-022-01491-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/23/2022] [Indexed: 10/18/2022]
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