Epidemiology of hospitalization and mortality rates due to ischemic cerebrovascular accident in Brazil
DOI:
https://doi.org/10.53843/bms.v8i12.323Keywords:
Ischemic Stroke, Spatio-Temporal Analysis, Risk FactorsAbstract
Introduction: Ischemic Cerebrovascular Accident (ICVA) is characterized by the occlusion of a blood vessel in the brain with interruption of the oxygen supply, being the most frequent form of stroke, representing 87% of cases. Thus, the aim of the current study is to evaluate the trend of hospitalization (HR) and mortality (MR) rates due to stroke by age group, between 2011 and 2020.
Methodology: This is a analytical, observational and retrospective study. The number of hospitalizations and deaths due to stroke was obtained from the Mortality Information System (SIM) and population data from the Brazilian Institute of Geography and Statistics (IBGE). HR and MR per 100,000 inhabitants were calculated, as well as their trends by segmented linear regression. Annual percentage changes (APCs) were obtained with 95% confidence intervals (95%CI).
Results: Brazil had 223,210 hospitalizations and 23468 deaths due to stroke in the period. HR and MR were higher according to age in all years. There was a decreasing trend for both HR (APC= -4,5) and MR (APC= -7,9) for the total population. With the exception of the age groups from 1 to 39 years old, the others had decreasing HR. While in MR, only the age group between 1 and 19 years showed a stationary trend.
Discussion: The decrease in HR and MR coincided with the period of implementation of the Hiperdia program whose objective is to link patients with systemic arterial hypertension and diabetes mellitus to health units, guaranteeing them systematic treatment which prevents risk factors modifiable factors of great impact on the occurrence of stroke.
Conclusion: It is extremely important to raise awareness of the population regarding modifiable factors for stroke, as well as the professional improvement of the service team since a shorter time for the approach is essential to avoid worse outcomes.
Metrics
References
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Copyright (c) 2023 Maria Elvira Freitas Martins, Alice Jardim Zaccariotti, Athus Di Lucca Miranda Borges, Cristiely Oliveira Caixeta de Sousa, Luís Felipe Araújo Peres, Jairo Porfírio de Oliveira Júnior
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