Epidemiological and clinical profile of patients with non-traumatic subarachnoid hemorrhage treated at a referral hospital in the interior of São Paulo.

• Grant number: 22/16836-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: June 01, 2023
• End date: December 31, 2023
• Field of knowledge: Health Sciences - Medicine
• Principal Investigator: Matheus Fernando Manzolli Ballestero
• Grantee: Thalia Silva Saraiva
• Host Institution: Centro de Ciências Biológicas e da Saúde (CCBS). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

Non-traumatic subarachnoid hemorrhage (SAH), a disease with high morbidity and mortality, especially affects women with an average age of 55 years. Although there are advances, SAH persists as a disease that is difficult to treat and recover from. There is high morbidity and premature mortality in Brazilian hospitals, generating a budgetary burden on the public health system with costs incurred for the treatment and rehabilitation of this pathology that causes suffering to the patient and his family. In Brazil, the literature referring to SAH is scarce, national data are rare, therefore, the need for a detailed study on the subject is highlighted. Therefore, risk factors, diagnostic criteria, management and prevention are aspects to be addressed in order to improve the care and survival of these individuals. Therefore, this project seeks to identify the profile of patients with non-traumatic SAH, their etiologies, clinical picture, complications and conduct carried out at Irmandade Santa Casa de Misericórdia de São Carlos (ISCMSC), a reference hospital for neurosurgical interventions and procedures, in the period from 2016 to 2022. This is a retrospective cross-sectional descriptive study to assess the morbidity and mortality of non-traumatic SAH based on data acquired through integrated information in medical records of patients undergoing neurosurgery at ISCMSC. The results will be presented as mean, standard deviation, median, minimum and maximum for quantitative variables and as frequency and percentage for qualitative variables. Statistical significance of differences will be determined by analysis of variance (Anova) or by t-test. Pearson's correlation test will be used to assess the degree of correlation between variables and comparison between categorical variables will be performed using the chi-square test (or Fisher's test). Multiple correlation analysis will be performed using the Linear Regression method. Odds ratio analysis will be performed using the logistic regression test. Significance level of 5%.