Avicenna deserves to be remembered for his contributions to the field of cardiovascular medicine. His masterpiece, the Canon of Medicine, has served as an essential medical encyclopedia for scholars in the Islamic territories and Europe for almost a millennium. The Canon, which is a general treatise on medicine, consists of five books. The eleventh section of the third book principally deals with various kinds of heart diseases, their causes, effects, and treatment. He has expressed that the heart is the noblest and the best of all the chief organs of the human body. Avicenna has tried to find out the causes of heart diseases and classify them in accordance with the different signs and symptoms. His legacy will continue to inspire his modern colleagues in investigating heart diseases.
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http://dx.doi.org/10.1016/j.ijcard.2009.05.015 | DOI Listing |
Eur J Trauma Emerg Surg
January 2025
Department of Trauma and Orthopedic Surgery, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Background: Rib and sternum fractures are common injuries associated with cardiopulmonary resuscitation (CPR). The fracture mechanism is either direct by application of force on sternum and anterior ribs or indirect by bending through compression of the thorax. The aim of this study was to determine morphologies of rib fractures after CPR and to reevaluate prior findings on fracture localisation, type and degree of dislocation.
View Article and Find Full Text PDFRapid Commun Mass Spectrom
March 2025
Department of Cardiology, Xinjiang Traditional Chinese Medicine Hospital, Xinjiang, China.
Objective: This study aims to examine the changes in metabolic profiles in patients with patent foramen ovale (PFO) and migraine, as well as in patients with isolated migraine, before and after surgical intervention using metabolomics.
Methods: Patients were categorized into four groups: the simple migraine (SM) group, the PFO with migraine preoperative group (PRE), the PFO with migraine postoperative Day 3 group (POST_3d), and the PFO with migraine postoperative Day 30 group (POST_30d). Untargeted metabolomics using liquid chromatography-mass spectrometry (LC-MS) were employed to identify differential metabolites across these groups.
Clin Epigenetics
January 2025
Department of Ultrasound, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, 33 Wenyi Road, Shenhe District, Shenyang, 110067, People's Republic of China.
As an important element of the human body, iron participates in numerous physiological and biochemical reactions. In the past decade, ferroptosis (a form of iron-dependent regulated cell death) has been reported to contribute to the pathogenesis and progression of various diseases. The stability of iron in cardiomyocytes is crucial for the maintenance of normal physiological cardiac activity.
View Article and Find Full Text PDFJ Cardiothorac Surg
January 2025
Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: Continuous Positive Airway Pressure (CPAP) treatment brings more benefits than risks to most coronary heart disease (CHD) patients with obstructive sleep apnea (OSA). However, the pathophysiological mechanism by which CPAP treatment improves the prognosis of patients with CHD and OSA remains unclear. The purpose of this study was to clarify whether CPAP can improve arterial stiffness and inflammatory factor levels in CHD patients with OSA, and to further improve prognosis.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Cardiology, The Second Hospital & Clinical Medical School, Lanzhou University, No. 82 Cuiyingmen, Lanzhou, 730000, China.
Objective: Constructing a predictive model for the occurrence of heart disease in elderly hypertensive individuals, aiming to provide early risk identification.
Methods: A total of 934 participants aged 60 and above from the China Health and Retirement Longitudinal Study with a 7-year follow-up (2011-2018) were included. Machine learning methods (logistic regression, XGBoost, DNN) were employed to build a model predicting heart disease risk in hypertensive patients.
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