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Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare
This case report highlights the use of point-of-care ultrasound (POCUS) for the diagnosis of ventricular septal rupture (VSR), a severe consequence of acute myocardial infarction (AMI). VSR has a broad spectrum of signs and inconspicuous symptoms, making the diagnosis difficult. POCUS offers non-inv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122442/ https://www.ncbi.nlm.nih.gov/pubmed/37095800 http://dx.doi.org/10.7759/cureus.36581 |
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author | Lal Vallath, Aditya Sivasubramanian, Barath Prashanth Chatterjee, Aryapriyo Erva, Snigdha Ravikumar, Diviya Bharathi Dasgupta, Indraneel |
author_facet | Lal Vallath, Aditya Sivasubramanian, Barath Prashanth Chatterjee, Aryapriyo Erva, Snigdha Ravikumar, Diviya Bharathi Dasgupta, Indraneel |
author_sort | Lal Vallath, Aditya |
collection | PubMed |
description | This case report highlights the use of point-of-care ultrasound (POCUS) for the diagnosis of ventricular septal rupture (VSR), a severe consequence of acute myocardial infarction (AMI). VSR has a broad spectrum of signs and inconspicuous symptoms, making the diagnosis difficult. POCUS offers non-invasive, real-time cardiac imaging and has an advantage over other methods due to its ability to identify VSR early. Here we present a 63-year-old female with a history of type 2 diabetes, hypothyroidism, hyperlipidemia, and a family history of cardiovascular disease, who came to the ED with chest pain for three days, palpitations, and dyspnea at rest. On examination, the patient was hypotensive, tachycardic, and had crackles with a harsh holosystolic murmur. An EKG and elevated troponin levels suggested acute on chronic anterior-lateral wall ST-elevation myocardial infarction (STEMI). Resuscitation efforts were initiated, followed by a lung ultrasound that revealed good lung sliding and multiple B lines without pleural thickening, indicating pulmonary edema. Echocardiography revealed ischemic heart disease with moderate left ventricle (LV) systolic dysfunction and a 14 mm apical ventricular septal rupture (hypokinetic thinning of the anterior wall, septum, apex, and anterolateral wall with a left ventricular ejection fraction (LVEF) of 39%). The presence of flow on color Doppler across the interventricular septum, showing left-to-right shunting, led to a definitive diagnosis of acute-on-chronic myocardial infarction (MI) with ventricular septal rupture. The case report also emphasizes how modern AI applications like ChatGPT (OpenAI, San Francisco, California, United States), aid in language and research, saving time and redefining the healthcare and research industry. As a result, we are confident that AI-assisted healthcare will be the next global breakthrough. |
format | Online Article Text |
id | pubmed-10122442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-101224422023-04-23 Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare Lal Vallath, Aditya Sivasubramanian, Barath Prashanth Chatterjee, Aryapriyo Erva, Snigdha Ravikumar, Diviya Bharathi Dasgupta, Indraneel Cureus Cardiology This case report highlights the use of point-of-care ultrasound (POCUS) for the diagnosis of ventricular septal rupture (VSR), a severe consequence of acute myocardial infarction (AMI). VSR has a broad spectrum of signs and inconspicuous symptoms, making the diagnosis difficult. POCUS offers non-invasive, real-time cardiac imaging and has an advantage over other methods due to its ability to identify VSR early. Here we present a 63-year-old female with a history of type 2 diabetes, hypothyroidism, hyperlipidemia, and a family history of cardiovascular disease, who came to the ED with chest pain for three days, palpitations, and dyspnea at rest. On examination, the patient was hypotensive, tachycardic, and had crackles with a harsh holosystolic murmur. An EKG and elevated troponin levels suggested acute on chronic anterior-lateral wall ST-elevation myocardial infarction (STEMI). Resuscitation efforts were initiated, followed by a lung ultrasound that revealed good lung sliding and multiple B lines without pleural thickening, indicating pulmonary edema. Echocardiography revealed ischemic heart disease with moderate left ventricle (LV) systolic dysfunction and a 14 mm apical ventricular septal rupture (hypokinetic thinning of the anterior wall, septum, apex, and anterolateral wall with a left ventricular ejection fraction (LVEF) of 39%). The presence of flow on color Doppler across the interventricular septum, showing left-to-right shunting, led to a definitive diagnosis of acute-on-chronic myocardial infarction (MI) with ventricular septal rupture. The case report also emphasizes how modern AI applications like ChatGPT (OpenAI, San Francisco, California, United States), aid in language and research, saving time and redefining the healthcare and research industry. As a result, we are confident that AI-assisted healthcare will be the next global breakthrough. Cureus 2023-03-23 /pmc/articles/PMC10122442/ /pubmed/37095800 http://dx.doi.org/10.7759/cureus.36581 Text en Copyright © 2023, Lal Vallath et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Cardiology Lal Vallath, Aditya Sivasubramanian, Barath Prashanth Chatterjee, Aryapriyo Erva, Snigdha Ravikumar, Diviya Bharathi Dasgupta, Indraneel Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare |
title | Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare |
title_full | Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare |
title_fullStr | Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare |
title_full_unstemmed | Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare |
title_short | Ventricular Septal Rupture and Artificial Intelligence (AI)-Assisted Healthcare |
title_sort | ventricular septal rupture and artificial intelligence (ai)-assisted healthcare |
topic | Cardiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122442/ https://www.ncbi.nlm.nih.gov/pubmed/37095800 http://dx.doi.org/10.7759/cureus.36581 |
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