ClinicalTrials.gov
public full text
Public Domain
Mechanical Complications of Acute Myocardial Infarction During COVID-19 Pandemics
The ongoing COVID-19 pandemics has put an overwhelming pressure on the healthcare systems of many European countries. Such a situation has potentially led to delayed and impaired access to appropriate treatment for patients affected by other severe, non-COVID-19-related conditions, including cardiovascular diseases. This resulted in a reported lower admission, but higher mortality rate for AMI patients. Such a situation might be explained by many factors, including unavailability of early reperfusion therapy and late hospital presentation of AMI patients due to a general anxiety related to the COVID-19 contagious risk of the hospital environment. As a matter of fact, during this year of pandemics, several case reports suggested a new, significant surge of post-AMI mechanical complications, sometimes describing patients admitted in too severe conditions to consider surgical repair a viable option, and therefore inevitably undergone an unfavorable outcome. Therefore, we decided to involve the large network of European centers already participating to the "Caution Study 1", in order to study the impact of COVID-19 pandemics on the outcomes, incidence and treatments of post-AMI mechanical complications.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Impact of Changes in the Use of Care and Reorganization of the Healthcare System Linked to the Covid-19 Outbreak on the Quality of Care Pathways of Patients Suffering From Acute Myocardial Infarction and Stroke in Aquitaine (AVICOVID)#904063
- Foresight-England: Development of a National-Scale Generative AI Model of Electronic Health Records for Medical Event Prediction across the COVID-19 Pandemic#620677
- Foresight-England: Development of a National-Scale Generative AI Model of Electronic Health Records for Medical Event Prediction across the COVID-19 Pandemic#618998
- Brief Informational Intervention for COVID-19 Misinformation Prophylaxis#838982
- Trajectory-Based Phenotyping After Coronary Artery Bypass Surgery#1150153
Record · ID 839704
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive