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

This is a case of a 63-year-old female with post-COVID-19 unilateral upper lip pain and numbness. Neurologic examination did not reveal any deficits other than deficits on pinprick in the maxillary division (V2) of the left trigeminal nerve. Brain neuroimaging showed signs of acute inflammation of the left maxillary sinus. Neuropraxia of the infraorbital nerve, a branch of the trigeminal nerve, was the diagnosis considered. Reports on trigeminal neurosensory changes following acute sinusitis are few, and isolated trigeminal neuropathy is rare except in cases of dental disorders. Up to this writing, there have been no reports on post-COVID-19 unilateral upper lip numbness and pain. This study will also serve as a concise review on the correlative neuroanatomy of the trigeminal nerve.
COVID-19 ; Trigeminal Nerve