| Literature DB >> 32510283 |
M Mehrpour1, A Shuaib2, M Farahani3, H R Hatamabadi4, Z Fatehi1, M Ghaffari1, N B Moghadam1, S H Aghamiri1, B Mansouri1, F Assarzadegan1, B S Lima1, O Hesami1.
Abstract
OBJECTIVE: The coronavirus disease 2019 pandemic has affected healthcare systems around the globe and massively impacted patients with various non-infectious, life-threatening conditions. Stroke is a major neurological disease contributing to death and disability worldwide, and is still an ongoing issue during the pandemic. Here we investigate the impact of the coronavirus disease 2019 outbreak on stroke manifestations, treatment courses, the outcome of stroke patients, and the hospitalization rate in a referral center for stroke management in Tehran, Iran.Entities:
Keywords: Coronavirus disease 2019; acute stroke; cerebrovascular disease; neurology; pandemic; stroke
Mesh:
Year: 2020 PMID: 32510283 PMCID: PMC7322515 DOI: 10.1177/1747493020937397
Source DB: PubMed Journal: Int J Stroke ISSN: 1747-4930 Impact factor: 5.266
Clinical characteristics of stroke patients during the COVOID-19 pandemic, in the immediately preceding period and during a similar period of the previous year.
| Time period | During COVID-19 | Immediately Before COVID-19 | Previous year | P-value |
|---|---|---|---|---|
| Number | 31 | 49 | 50 | |
| Sex | 0.358 | |||
| Male | 20 (64.5%) | 30 (61.2%) | 25 (50.0%) | |
| Female | 11 (35.5%) | 19 (38.8%) | 25 (50.0%) | |
| Age (year)
| 65.61 ± 17.41 | 64.24 ± 13.99 | 67.00 ± 14.77 | 0.665 |
| Type of stroke | 0.088 | |||
| Hemorrhagic stroke | 8 (25.8%) | 12 (24.5%) | 11 (22.0%) | |
| Non-large vessel ischemic | 11 (35.5%) | 24 (49.0%) | 32 (64.0%) | |
| Large vessel ischemic | 12 (38.7%) | 13 (26.5%) | 7 (14.0%) | |
| Treatment | 0.055 | |||
| Medical treatment | 22 (71.0%) | 34 (69.4%) | 34 (68.0%) | |
| Thrombolytic (TPA) | 4 (12.9%) | 8 (16.3%) | 14 (28.0%) | |
| Thrombectomy | 3 (9.7%) | 6 (12.2%) | 0 | |
| Thrombectomy and TPA | 2 (6.5%) | 1 (2.0%) | 0 | |
| Non-medical | 0 | 0 | 2 (4.0%) | |
| Severity of stroke
| 0.002 | |||
| Non-severe | 12 (38.7%) | 20 (40.8%) | 36 (72.0%) | |
| Severe | 19 (61.3%) | 29 (59.2%) | 14 (28.0%) | |
| Duration of hospitalization (day)
| ||||
| Patients with non-severe stroke | 1.75 ± 0.97 | 2.30 ± 1.87 | 3.00 ± 1.96 | 0.090 |
| Patients with severe stroke | 6.63 ± 4.67 | 6.45 ± 4.15 | 6.93 ± 4.57 | 0.945 |
| Mortality | 5 (16.1%) | 10 (20.4%) | 7 (14.0%) | 0.690 |
COVID-19: coronavirus disease 2019.
Significant difference (p < 0.05).
Mean ± SD
The method of classification for stroke severity is explained in the text.
Comparison of clinical characteristics of stroke patients with and without COVID-19 infection.
| During COVID-19 pandemic | P-value | ||
|---|---|---|---|
| Parameter | Negative COVID-19 infection | Positive COVID-19 infection | |
| Number | 21 | 10 | |
| Sex | 0.244 | ||
| Male | 15 (71.4%) | 5 (50.0%) | |
| Female | 6 (28.6%) | 5 (50.0%) | |
| Age (year)
| 60.86 ± 18.45 | 75.60 ± 9.54 | 0.007 |
| Type of stroke | 0.046 | ||
| Hemorrhagic stroke | 7 (33.3%) | 1 (10.0%) | |
| Non-large vessel ischemic | 9 (42.9%) | 2 (20.0%) | |
| Large vessel ischemic | 5 (23.8%) | 7 (70.0%) | |
| Treatment | 0.333 | ||
| Medical treatment | 17 (81.0%) | 5 (50.0%) | |
| Thrombolytic (TPA) | 2 (9.5%) | 2 (20.0%) | |
| Thrombectomy | 1 (4.8%) | 2 (20.0%) | |
| Thrombectomy and TPA | 1 (4.8%) | 1 (10.0%) | |
| Severity of stroke
| 0.024 | ||
| Non-severe | 11 (52.4%) | 1 (10.0%) | |
| Severe | 10 (47.6%) | 9 (90.0%) | |
| Severity of COVID-19 infection
| |||
| Mild | – | 4 (40.0%) | |
| Moderate | – | 2 (20.0%) | |
| Severe | – | 3 (30.0%) | |
| Critical | – | 1 (10.0%) | |
| Duration of hospitalization (day)
| |||
| Patients with non-severe stroke | 1.55 ± 0.69 | 4.00 | 0.083 |
| Patients with severe stroke | 6.30 ± 5.17 | 7.00 ± 4.33 | 0.754 |
| Mortality | 2 (9.5%) | 3 (30.0%) | 0.147 |
COVID-19: coronavirus disease 2019.
Significant difference (p < 0.05).
Mean ± SD.
The method for classification of stroke severity is explained in the text.
The method for classification of COVID-19 severity is explained in the text.