The Impact of SARS-CoV-2 Infection on Sleep, Daytime Sleepiness, and Depression-Longitudinal Cohort Study.

Background and Objectives: COVID-19 disease, caused by the SARS-CoV-2 virus, has presented significant challenges to global health, with acute and chronic implications for various aspects of well-being, including sleep and quality of life. This study aimed to investigate the impact of SARS-CoV-2 infection on sleep quality, daytime sleepiness, and quality of life in hospitalised and home-treated patients after three and six months. Materials and Methods: A longitudinal cohort study was conducted, enrolling hospitalised patients from a single clinical university hospital and home-treated participants through a survey spread through social networks. Individuals who had tested positive for the SARS-CoV-2 virus in the past three months and had a symptomatic course of the disease were included in the study. Participants with previously diagnosed sleep disorders were excluded from the study. Participants were evaluated using internationally validated self-evaluation scales, including the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9) and Fatigue Severity Scale (FSS). Data were collected three and six months after laboratory-confirmed SARS-CoV-2 infection, with informed consent obtained from all participants. Statistical analysis was performed using the Wilcoxon signed rank test, Fisher-Freeman-Halton exact, Pearson Chi tests and Spearman correlation. Results were considered statistically significant with p value < 0.05. Results: In total, 66 participants with a mean age of 44.05 ± 21.61 years were enrolled in the study. Most patients (n = 36) were treated at home and 30 at hospital. Six months after SARS-CoV-2 infection, home-treated patients reported a higher prevalence of poor sleep quality (52.8%, n = 19, p = 0.015, PSQI) and hospitalised patients showed a lower prevalence of depressive symptoms (p < 0.001, PHQ-9) as 90% (n = 27) had minimal or no symptoms compared to 30.6% (n = 11) in a home-treated group. Conclusions: These findings mark the importance of the COVID-19 patients' management settings as people treated at home had worse sleep quality and more depressive symptoms six months after infection indicating worse life quality.

The Riga East University Hospital Stroke Registry-An Analysis of 4915 Consecutive Patients with Acute Stroke.

Background and Objectives: A hospital-based stroke registry is a useful tool for systematic analyses of the epidemiology, clinical characteristics, and natural course of stroke. Analyses of stroke registry data can provide information that can be used by health services to improve the quality of care for patients with this disease. Materials and Methods: Data were collected from the Riga East University Hospital (REUH) Stroke Registry in order to evaluate the etiology, risk factors, clinical manifestations, treatment, functional outcomes, and other relevant data for acute stroke during the period 2016-2020. Results: During a five-year period, 4915 patients (3039 females and 1876 males) with acute stroke were registered in the REUH Stroke Registry. The causative factors of stroke were cardioembolism (45.7%), atherosclerosis (29.9%), lacunar stroke (5.3%), stroke of undetermined etiology (1.2%), and stroke of other determined causes (1.2%). The most frequent localizations of intracerebral hemorrhage were subcortical (40.0%), lobar (18.9%), and brainstem (9.3%). The most prevalent risk factors for stroke were hypertension (88.8%), congestive heart failure (71.2%), dyslipidemia (46.7%), and atrial fibrillation (44.2%). In addition, 1018 (20.7%) patients were receiving antiplatelet drugs, 574 (11.7%) were taking statins, and 382 (7.7%) were taking anticoagulants. At discharge, 35.5% of the patients were completely independent (mRS (modified Rankin Scale) score: 0-2), while 49.5% required some form of assistance (mRS score: 3-5). The intrahospital mortality rate was 13.7%, although it was higher in the hemorrhage group (30.9%). Conclusions: Our stroke registry data are comparable to those of other major registries. Analysis of stroke registry data is important for improving stroke care and obtaining additional information for stroke studies.