Depression and Anxiety after Stroke in Young Adult Filipinos.

BACKGROUND AND OBJECTIVES: Young adult patients may suffer from poststroke depression (PSD) and anxiety. Few studies have evaluated these important psychiatric conditions that may lead to adverse outcomes in young adults. We aimed to determine the prevalence of PSD and anxiety as well as to identify their predictors in a population of young Filipino adults (18-49 years old). METHODS: We performed a cross-sectional epidemiologic study in the largest tertiary hospital in the Philippines. The study involved the administration of a structured survey tool and review of medical records. The Hospital Anxiety and Depression Score - Pilipino version (HADS-P) was used to screen for anxiety and depression. Multivariable logistic regression analysis was performed to determine significant socio-economic and clinical risk factors of PSD and anxiety. RESULTS: 114 young adult stroke patients were included. The prevalence of depression was 20.2% while that of anxiety was 34.2%. Significant predictors of PSD were the presence of anxiety (OR 1.84; CI 1.05-3.22), lower mRS scores (mRS 3-5 OR 5.52; 95% CI 1.09-8.03) and diabetes (OR 2.09; 95% CI 1.67-6.26). Meanwhile, significant predictors of poststroke anxiety included depression (OR 7.5; 95% CI 5.02-21.94) and dependency (Barthel Index scores 95-100; OR 0.94; 95% CI 0.89-0.99). Relationship status, educational attainment, stroke subtype and location were not found to be significant predictors of PSD and anxiety. CONCLUSION: A significant proportion of young adults suffered from depression and anxiety after stroke. Clinicians should be aware of these psychiatric conditions that influence outcomes and quality of life of young adults with stroke.

Acute stroke care algorithm in a private tertiary hospital in the Philippines during the COVID-19 pandemic: A third world country experience.

BACKGROUND AND PURPOSE: Since the declaration of the Novel Coronavirus Disease (COVID-19) pandemic, ensuring the safety of our medical team while delivering timely management has been a challenge. Acute stroke patients continue to present to the emergency department and they may not have the usual symptoms of COVID-19 infection. Stroke team response and management must be done within the shortest possible time to minimize worsening of the functional outcome without compromising safety of the medical team. METHODS: Infection control recommendations, emergency department protocols and stroke response pathways utilized prior to the COVID 19 pandemic within our institution were evaluated by our stroke team in collaboration with the multidisciplinary healthcare services. Challenges during the COVID-19 scenario were identified, from which a revised acute stroke care algorithm was formulated to adapt to this pandemic. RESULTS: We formulated an algorithm that incorporates practices from internationally devised protocols while tailoring certain aspects to suit the available resources in our system locally. We highlighted the significance of the following: team role designation, coordination among different subspecialties and departments, proper use of personal protective equipment and resources, and telemedicine use during this pandemic. CONCLUSIONS: This pandemic has shaped the stroke team's approach in the management of acute stroke patients. Our algorithm ensures proper resource management while optimizing acute stroke care during the COVID-19 pandemic in our local setting. This algorithm may be utilized and adapted for local practice and other third world countries who face similar constraints.