Background: Few studies have examined the time between onset of myocardial infarction (MI) symptoms and arrival at hospital (prehospital delay time) and symptoms in men vs. women.
Aims: To describe prehospital delay time and symptoms in men vs. women with MI and to analyse trends over time and according to age.
Methods: The Northern Sweden MONICA myocardial infarction registry, 1989-2003, included 5,072 men and 1,470 women with a confirmed MI.
Results: Typical pain was present in 86% of the men and 81% of the women. The proportion with typical symptoms decreased over time for men and increased for women. Typical symptoms were more common among younger persons than older persons. Insufficiently reported symptoms was unchanged in men over time and decreased among women. Up to the age of 65, no gender differences were seen in the prehospital delay. In the oldest age group (65-74 years) time to hospital was longer than among the younger groups, especially among women.
Conclusion: There were no major gender differences in prehospital delay or type of symptoms. However, over time the proportion with typical symptoms decreased in men and increased in women. Older patients had longer prehospital delay and less typical symptoms.
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http://dx.doi.org/10.1016/j.ejcnurse.2007.09.001 | DOI Listing |
J Med Internet Res
January 2025
Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Background: The aging global population and the rising prevalence of chronic disease and multimorbidity have strained health care systems, driving the need for expanded health care resources. Transitioning to home-based care (HBC) may offer a sustainable solution, supported by technological innovations such as Internet of Medical Things (IoMT) platforms. However, the full potential of IoMT platforms to streamline health care delivery is often limited by interoperability challenges that hinder communication and pose risks to patient safety.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background: Efficient emergency patient transport systems, which are crucial for delivering timely medical care to individuals in critical situations, face certain challenges. To address this, CONNECT-AI (CONnected Network for EMS Comprehensive Technical-Support using Artificial Intelligence), a novel digital platform, was introduced. This artificial intelligence (AI)-based network provides comprehensive technical support for the real-time sharing of medical information at the prehospital stage.
View Article and Find Full Text PDFJ Pak Med Assoc
January 2025
Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology, Karachi, Pakistan.
Objectives: To identify factors contributing to delays in in the initiation of treatment among ST elevation myocardial infarction patients.
Methods: The prospective cohort study was conducted at the National Institute of Cardiovascular Disease, Karachi, from December 2020 to June 2021, and comprised ST elevation myocardial infarction patients of either gender aged at least 18 years. Time delay categories were 1st and 2nd delays that were patient-related, and 3rd delay that was system-related), with thresholds of ≤90 minutes and ≤120 minutes.
Afr J Emerg Med
December 2024
Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Background: In Nigeria, trauma care faces challenges due to high injury and death rates from road traffic accidents and violence. Improvements are underway, but gaps in service availability, training, and coordination persist, necessitating evidence-based interventions.
Purpose: To evaluate trauma care practices in Nigeria, focusing on practitioners' perceptions of training, resources, and care quality to inform policy and practice enhancements.
J Appl Stat
May 2024
Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
Ischemic stroke is responsible for significant morbidity and mortality in the United States and worldwide. Stroke treatment optimization requires emergency medical personnel to make rapid triage decisions concerning destination hospitals that may differ in their ability to provide highly time-sensitive pharmaceutical and surgical interventions. These decisions are particularly crucial in rural areas, where transport decisions can have a large impact on treatment times - often involving a trade-off between delay in pharmaceutical therapy or a delay in endovascular thrombectomy.
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