Epidemiological and Clinical factors in Hemorrhagic Stroke: A Cross-sectional study in a Reference Hospital
International Journal of Development Research
Epidemiological and Clinical factors in Hemorrhagic Stroke: A Cross-sectional study in a Reference Hospital
Received 14th January, 2025; Received in revised form 21st January, 2025; Accepted 11th February, 2025; Published online 27th March, 2025
Copyright©2025, Juncos GFO, Bonatto S, Silva CL, Reche PM, Pinto AMF, Gaspar MDR. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Objective: To analyze the epidemiological profile of patients with hemorrhagic stroke (HS) and its associations with clinical outcomes among patients admitted to a university hospital in Paraná, Brazil. Methods: A cross-sectional study conducted at a university hospital in Paraná between 2018 and 2022, involving 118 patients diagnosed with HS. Sociodemographic, clinical, and comorbidity data were analyzed. Statistical tests such as Chi-Square, ANOVA, and Student's t-test were employed. Results: The mean age was 67 years (±1.19), with an equal distribution between sexes (50%). Systemic arterial hypertension (74%) and diabetes mellitus (25%) were the most prevalent comorbidities. The in-hospital mortality rate was 40%, with a higher proportion among patients with renal diseases (60%) and those with a high Charlson comorbidity index score (100%). The mean time from symptom onset to hospital admission was 12 hours (±11.8). The mean length of stay was 10 days for survivors and 8 days for patients who succumbed (p=0.03). Conclusion: HS affected men and women equally and was associated with a high prevalence of comorbidities such as hypertension and diabetes. Despite the significant mortality rate, no statistically significant associations were observed between comorbidities and clinical outcomes. Prevention and rehabilitation strategies focusing on comorbidity management are essential to improve clinical outcomes.