학술논문

Stroke Care Trends During COVID-19 Pandemic in Zanjan Province, Iran. From the CASCADE Initiative: Statistical Analysis Plan and Preliminary Results
Document Type
article
Source
Journal of Stroke and Cerebrovascular Diseases. 29(12)
Subject
Stroke
Brain Disorders
Neurosciences
Patient Safety
Health and social care services research
8.1 Organisation and delivery of services
Good Health and Well Being
Aged
Aged
80 and over
Bayes Theorem
Brain Ischemia
COVID-19
Female
Hospital Mortality
Hospitalization
Humans
Interrupted Time Series Analysis
Intracranial Hemorrhages
Iran
Length of Stay
Male
Middle Aged
Outcome and Process Assessment
Health Care
Recovery of Function
Thrombolytic Therapy
Time Factors
Time-to-Treatment
Treatment Outcome
Epidemiology
Outcome
Mortality
Disability
Stroke care
Clinical Sciences
Neurology & Neurosurgery
Clinical sciences
Language
Abstract
BackgroundThe emergence of the COVID-19 pandemic has significantly impacted global healthcare systems and this may affect stroke care and outcomes. This study examines the changes in stroke epidemiology and care during the COVID-19 pandemic in Zanjan Province, Iran.MethodsThis study is part of the CASCADE international initiative. From February 18, 2019, to July 18, 2020, we followed ischemic and hemorrhagic stroke hospitalization rates and outcomes in Valiasr Hospital, Zanjan, Iran. We used a Bayesian hierarchical model and an interrupted time series analysis (ITS) to identify changes in stroke hospitalization rate, baseline stroke severity [measured by the National Institutes of Health Stroke Scale (NIHSS)], disability [measured by the modified Rankin Scale (mRS)], presentation time (last seen normal to hospital presentation), thrombolytic therapy rate, median door-to-needle time, length of hospital stay, and in-hospital mortality. We compared in-hospital mortality between study periods using Cox-regression model.ResultsDuring the study period, 1,026 stroke patients were hospitalized. Stroke hospitalization rates per 100,000 population decreased from 68.09 before the pandemic to 44.50 during the pandemic, with a significant decline in both Bayesian [Beta: -1.034; Standard Error (SE): 0.22, 95% CrI: -1.48, -0.59] and ITS analysis (estimate: -1.03, SE = 0.24, p