Background: The pathophysiology of hypertrophic obstructive cardiomyopathy (HOCM) is complex and heterogeneous, and it may be difficult to disentangle the various pathophysiologic properties leading to complaints.
Objectives: To elucidate the sequence of acute pathophysiologic changes leading to complaints in a patient with HOCM.
Methods: Cardiopres measurements [the combination of non-invasive, continuous finger artery blood pressure monitoring, and three-lead electrocardiogram (ECG) recordings] were performed during physiologic, supine exercise--before and after replacement of metoprolol by verapamil. Within 24 h of the Cardiopres measurement standard Doppler echocardiography was performed. Finger artery pressure wave was analysed using Beatscope software (BMI-TNO, Amsterdam, The Netherlands), ST analysis was performed with H-Scribe (Mortara Instrument, Bilt, The Netherlands).
Results: Exercise under metoprolol: finger BP decreased from 130/65 mmHg to 90/60 mmHg, heart rate increased from 65 bpm to 100 bpm and ST analysis revealed significant ST depression in all leads. The occurrence of ST depression preceded the hypotension. Echocardiography showed a dynamic gradient of 70 mmHg. Exercise under verapamil: the patient had less complaints, BP increased from 125/60 mmHg to 165/65 mmHg, heart rate increased from 75 bpm to 107 bpm and ST analysis showed no ST depression > 1 mm. Echocardiography showed no change.
Conclusions: The use of the Cardiopres during a physiological stimulus showed improvement in exercise capacity in a patient with HOCM, while the standard test, stress-echocardiography, showed no correlation with clinical status. The Cardiopres is a useful diagnostic and research tool, allowing non-invasive, ambulatory monitoring of blood pressure and ECG changes.
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http://dx.doi.org/10.1097/00126097-200212000-00007 | DOI Listing |
Best Pract Res Clin Anaesthesiol
September 2024
Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, L1, Boston, MA, 02115, USA. Electronic address:
Preeclampsia is a life-threatening complication that develops in 2-8% of pregnancies. It is characterized by elevated blood pressure after 20 weeks of gestation and may progress to multiorgan dysfunction, leading to severe maternal and fetal morbidity and mortality. The only definitive treatment is delivery, and efforts are focused on early risk prediction, surveillance, and severity mitigation.
View Article and Find Full Text PDFInt J Numer Method Biomed Eng
January 2025
College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.
The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are crucial for reliable treatments of cardiovascular system diseases. But the accuracy and practicality of current estimation methods need to be improved. Our study combines a meta-learning neural network and a physics-driven method to accurately estimate CAPW based on personalized physiological indicators.
View Article and Find Full Text PDFEClinicalMedicine
October 2024
Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Unity Health Toronto, Toronto, ON M5B 1W8, Canada.
Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFPatient Prefer Adherence
January 2025
Division of Hypertension, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Introduction: Self-care practices are crucial for optimizing blood pressure control and are influenced by multilevel factors.
Objective: To examine the influences of multilevel factors on hypertension self-care practices among individuals with uncontrolled hypertension and to determine the relationship between hypertension self-care practices and blood pressure.
Methods: The study was conducted in primary, secondary, and tertiary care settings in Bangkok, selected for convenience, where individuals with uncontrolled hypertension were recruited using a convenience sampling method based on specific inclusion criteria.
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