Coarctation of the aorta (CA) is diagnosed mainly in pediatric patients, and therapy is conservative if asymptomatic, but surgical treatment is required if advanced arterial hypertension is present. Moderate to severe forms contraindicate any type of physical activity requiring cardiac effort. Here, we describe the first documented death of an apparently healthy 35-year-old woman because of cardiac tamponade by rupture of an aortic aneurysm, possibly related to congenital CA, prolonged use of oxymetazoline hydrochloride, and physical and/or emotional stress during sexual activity. Our patient was asymptomatic for classical CA symptoms. The patient's breathing difficulties likely in hindsight were due not so much to nasal congestion, but rather to an ineffective oxygenation of the blood from the abnormal heart. In an attempt to treat the "nasal disease," the patient ingested chronic and excessive doses of decongestants, aggravating her fatal disease. The danger of inhaling large doses of nasal decongestants without an appropriate medical indication is highlighted here.
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http://dx.doi.org/10.1111/j.1556-4029.2011.01799.x | DOI Listing |
ESC Heart Fail
January 2025
Division of Cardiology, Department of Medicine, Kindai University Faculty of Medicine, Osaka, Japan.
Aims: The Tpeak-Tend interval on electrocardiogram may be a predictor of worse outcomes in Takotsubo syndrome (TTS), but the mechanisms have not been fully determined. This study aimed to investigate the relationships between the corrected Tpeak-Tend (cTp-e) interval and coronary microvascular-dysfunction (CMD) assessed by the angiography-derived index of microvascular resistance (Angio-IMR) and the in-hospital prognosis in patients with TTS.
Methods And Results: We retrospectively evaluated 111 consecutive patients admitted for TTS who underwent coronary angiography at Kindai University Hospital from October 2009 to July 2023.
Eur Heart J Digit Health
January 2025
Cardiology Department, Dr Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), C/Maestro Alonso s/n, Alicante 03010, Spain.
Aims: Evidence regarding the safety of early discharge following transcatheter aortic valve implantation (TAVI) is limited. The aim of this study was to evaluate the safety of very early (<24) and early discharge (24-48 h) as compared to standard discharge (>48 h), supported by the implementation of a voice-based virtual assistant using artificial intelligence (AI) and natural language processing.
Methods And Results: Single-arm prospective observational study that included consecutive patients who underwent TAVI in a tertiary hospital in 2023 and were discharged under an AI follow-up programme.
Front Cardiovasc Med
January 2025
Department of Cardiovascular Surgery, Gaozhou People's Hospital, Gaozhou, Guangdong, China.
Objective: The objective of this study was to improve long-term postoperative survival in a porcine cardiac valve surgery model by utilizing cardiopulmonary bypass (CPB) via left thoracotomy. The study aimed to share refined techniques and insights accumulated over years at a single-center animal clinical trial facility.
Method: A total of 196 Chinese Large White pigs weighing between 60 and 75 kg were used in the study.
Open Heart
January 2025
Massachusetts General Hospital, Boston, Massachusetts, USA.
Background: Accurate mortality prediction following transcatheter aortic valve implantation (TAVI) is essential for mitigating risk, shared decision-making and periprocedural planning. Surgical risk models have demonstrated modest discriminative value for patients undergoing TAVI and are typically poorly calibrated, with incremental improvements seen in TAVI-specific models. Machine learning (ML) models offer an alternative risk stratification that may offer improved predictive accuracy.
View Article and Find Full Text PDFEBioMedicine
January 2025
CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Ontact Health Inc., Seoul, Republic of Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Background: Transthoracic echocardiography (TTE) is the primary modality for diagnosing aortic stenosis (AS), yet it requires skilled operators and can be resource-intensive. We developed and validated an artificial intelligence (AI)-based system for evaluating AS that is effective in both resource-limited and advanced settings.
Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation.
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