Background: To assess age-related differences in cardiovascular risk factors, clinical course and management of patients with acute myocardial infarction (AMI) in intensive care (ICU) or coronary care units (CCU).
Methods: A retrospective cohort study was conducted of all AMI patients listed in the ARIAM register (Analysis of Delay in AMI), a multi-centre register in which 119 Spanish hospitals participated. The study period was from January 1995 to January 2001. A univariate analysis was carried out to evaluate differences between different age groups. Multivariate analysis was used to assess whether age difference was an independent predisposing factor for mortality and for differences in patient management.
Results: 17,761 patients were admitted to the ICUs/CCUs with a diagnosis of AMI. The distribution by ages was: <55 years, 3,954 patients (22.3%); 55-64 years, 3,593 (22.2%); 65-74 years, 5,924 (33.4%); 75-84 years, 3,686 (20.8%); and >84 years, 604 (3.4%) (P<0.0001); 24.6% of the patients were female, and the relative proportion of females increased with age. There were clear differences in risk factors between the different age groups, with a predominance of tobacco, cholesterol and family history of heart disease in the younger patients. The incidence of complications, including haemorrhagic complications, increased significantly with age. The older age groups had a lower rate of thrombolysis and less use of revascularisation techniques. The mortality of the above groups was 2.6, 5.4, 10.7, 17.7 and 25.8%, respectively. Age difference was an independent predictive variable for mortality and the administration of thrombolysis.
Conclusions: The distinct age groups differed in cardiovascular risk factors, management and mortality. Age is a significant independent predictive variable for mortality and for the administration of thrombolysis.
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http://dx.doi.org/10.1016/s0167-5273(02)00187-0 | DOI Listing |
Asian Pac J Cancer Prev
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Adhiparasakthi Dental College and Hospital, Melmaruvathur, India.
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Department of Nephrology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
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January 2025
School of Computer Science, Qufu Normal University, Rizhao, 276826, China.
Combination therapy, which synergistically enhances treatment efficacy and inhibits disease progression through the combined effects of multiple drugs, has emerged as a mainstream approach for treating complex diseases and alleviating symptoms. However, drug-drug interactions (DDIs) can sometimes lead to adverse reactions, potentially endangering lives. Therefore, developing efficient and accurate DDI prediction methods is crucial for elucidating drug mechanisms and preventing side effects.
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Division of Endocrinology, Department of Pediatrics, College of Medicine, University of Florida, 1699 SW 16th Ave, Building A, Gainesville, FL, 32608, USA.
Type 1 diabetes mellitus (T1DM) is characterized by the progressive, autoimmune-mediated destruction of β cells. As such, restoring immunoregulation early in the disease course is sought to retain endogenous insulin production. Nevertheless, in the more than 100 years since the discovery of insulin, treatment of T1DM has focused primarily on hormone replacement and glucose monitoring.
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Center for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China.
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