My SciELO
Services on Demand
Article
Indicators
- Cited by SciELO
Related links
- Similars in SciELO
Share
Revista Cubana de Investigaciones Biomédicas
On-line version ISSN 1561-3011
Abstract
OCHOA MONTES, Luis Alberto and LOS MIEMBROS DEL GRUPO DE INVESTIGACION EN MUERTE SUBITA (GIMUS) et al. Tools for the study of sudden cardiovascular death. Rev Cubana Invest Bioméd [online]. 2021, vol.40, n.3 Epub Sep 01, 2021. ISSN 1561-3011.
Introduction:
Half of all cardiovascular deaths are due to sudden cardiovascular death, one of the manifestations with the greatest impact and significance in the realm of ischemic heart disease.
Objective:
Describe the Diagnostic Algorithm and the Primary Data Collection Model used as tools to study sudden cardiovascular death in Cuba.
Methods:
A presentation is made of a Diagnostic Algorithm for the study of sudden cardiovascular death cases accompanied by the corresponding methodology, and a Primary Data Collection Model with the main sociodemographic, clinical and anatomopathological variables.
Results:
The Sudden Death Research Team has used the Diagnostic Algorithm and Primary Data Collection Model herein presented as a scientific research tool for a period of 25 years (1995-2020). Of the 33 718 deaths by natural causes studied with these tools, 2 252 have been sudden, representing 6.6% of the overall mortality recorded.
Conclusions:
Research teams should have access to tools for the conduct of population studies about sudden cardiovascular death, considering that 90% of the events recorded annually occur in this risk group.
Keywords : sudden cardiovascular death; diagnostic algorithm; data collection model; research; record.