Risk factors associated with hemorrhagic cerebrovascular accident: A cross-sectional study in patients from a hospital in Peru.
Jaime Rosales-RimachePaola Ramos-MartínezFernando Soncco-LlulluyGuido Bendezu-QuispePublished in: Medicine (2023)
In Peru, cardiovascular accidents (CVA) cause around 15% of premature death, with an increase in CVA due to the prevalence of risk factors for CVA in the Peruvian population. Hemorrhagic CVA presents higher mortality compared to ischemic. This research aimed to identify the risk factors associated with hemorrhagic CVA. We carried out a retrospective cross-sectional study using the medical records of patients with a diagnosis of CVA treated at the Regional Hospital of Ica during the years 2018 and 2019. Independent variables included age, sex, type 2 diabetes, dyslipidemia, hypertension, smoking, obesity, and intracranial carotid artery calcification. To identify factors associated with an increased probability for hemorrhagic CVA compared to ischemic CVA, a generalized linear model with logit link and binomial family, obtaining the odds ratio (OR) and its 95% confidence interval (CI). we evaluated the data from 132 patients. Of them, 46 (34.85%) had hemorrhagic CVA. Only systolic blood pressure (OR: 1.04; 95% CI: 1.02-1.06) and hypertension (OR: 0.29; 95% CI: 0.10-0.89) were significantly associated with hemorrhagic CVA compared to ischemic CVA. Hypertension is associated with hemorrhagic CVA compared to ischemic CVA. These results are consistent with the literature.
Keyphrases
- blood pressure
- type diabetes
- end stage renal disease
- newly diagnosed
- healthcare
- ejection fraction
- chronic kidney disease
- heart failure
- systematic review
- risk factors
- emergency department
- metabolic syndrome
- hypertensive patients
- ischemia reperfusion injury
- heart rate
- insulin resistance
- cardiovascular disease
- physical activity
- patient reported outcomes
- left ventricular
- coronary artery disease
- cerebral ischemia
- blood brain barrier
- machine learning
- cardiovascular events
- subarachnoid hemorrhage
- optical coherence tomography
- artificial intelligence
- drug induced