Background: Among the multiple scoring systems for hemorrhagic transformation, only few of these address spontaneous hemorrhagic transformation after an ischemic stroke, with most done with Western population data. Objectives: This study aims to identify the predictors for hemorrhagic transformation among patients with ischemic stroke admitted in a tertiary hospital in Cebu City, Philippines. Methods: This is a retrospective cohort study of patients with ischemic stroke admitted in a tertiary hospital in Cebu City. Patients’ baseline characteristics, clinical, and radiologic data were collected. Chi square test and t-test were used to determine which variables were significantly different between patients with and without hemorrhagic transformation. Odds ratio (OR) and 95% confidence interval (CI) were determined to measure the association between the different variables and hemorrhagic transformation. Results: A total of 500 ischemic stroke patients were included in the study. There were 28 (6%) ischemic stroke patients with Hemorrhagic Transformation. The mean age of these patients is 66.93 ± 12.42 years, 48.8% male, 10.8% had atrial fibrillation, and 2.4% had myocardial infarction. Controlling for the effect of confounders, white blood cell count (OR 1.11; 95% CI 1.03-1.19), myocardial infarction (OR 5.25; 95% CI 1.13-24.34), and presence of brain edema (OR 2.86; 95% CI 1.05-7.80) were significant predictors of hemorrhagic transformation. Conclusion White blood cell count, presence of brain edema, and myocardial infarction were significantly associated with hemorrhagic transformation among ischemic stroke patients.
Ischemic Stroke ; Philippines

Background: The effect of atrial fibrillation (AF) patterns and clinical biomarkers among patients with AF-related stroke is still controversial. Objectives: The objective of this study is to determine the association of the pattern of AF and markers on routine blood tests with the outcome of patients after an AF-related stroke. Methods: This is a retrospective cohort study of patients with stroke and AF admitted in a tertiary hospital in Cebu City from 2015-2022. Patients’ baseline characteristics, laboratory tests, ECG, and radiologic data were collected. Descriptive statistics such as mean and frequency were computed. The Kaplan–Meier method and the log-rank test were used to calculate the incidence time. The Cox regression analysis was used to determine factors associated with survival. A stepwise regression technique was used in model building. Results: The mortality rate of patients with AF-related stroke was 0.02. A Kaplan Meier survival estimate shows that patients with paroxysmal AF have better survival. Upon model building of variables, age, red cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), platelet count, low density lipid cholesterol (LDL-C), and pattern of AF were predictive of mortality in patients with AF-related stroke. Conclusions Among AF-related stroke patients admitted at a tertiary hospital in Cebu City, pattern of AF, age, RDW, NLR, platelet count, and LDL-C were associated with mortality. The parameters associated with increased mortality could be easily assessed using an ECG, CBC, and lipid profile. These are all readily available and cost-efficient.
Atrial Fibrillation ; Prognosis ; Stroke