| Literature DB >> 33881754 |
Abstract
OBJECTIVE: To investigate whether the COVID-19 pandemic had an effect on the emergency department admission complaints of patients with neurological symptoms.Entities:
Keywords: COVID-19 pandemic; Emergency room; Neurological admission
Mesh:
Year: 2021 PMID: 33881754 PMCID: PMC8057943 DOI: 10.1007/s13760-021-01672-8
Source DB: PubMed Journal: Acta Neurol Belg ISSN: 0300-9009 Impact factor: 2.396
Comparison of the BP and AP groups in terms of imaging studies and clinical characteristics
| BP ( | AP ( | Total ( | ||
|---|---|---|---|---|
| Patient number ( | 584 (59.84%) | 392 (40.16%) | 976 (100.00%) | |
| Computerized tomography | 567 (59.50%) | 386 (40.50%) | 953 (100.00%) | |
| Magnetic resonance imaging | 451 (58.95%) | 314 (41.05%) | 765 (100.00%) | |
| Status after emergency department | ||||
| Discharged | 223 (63.17%) | 130 (36.83%) | 353 (100.00%) | |
| Neurology clinic | 210 (61.05%) | 134 (38.95%) | 344 (100.00%) | |
| Neurology intensive care unit | 56 (51.85%) | 52 (48.15%) | 108 (100.00%) | 0.700 |
| Other clinic | 40 (57.97%) | 29 (42.03%) | 69 (100.00%) | 0.185 |
| Other intensive care unit | 25 (52.08%) | 23 (47.92%) | 48 (100.00%) | 0.773 |
| Refused treatment | 11 (42.31%) | 15 (57.69%) | 26 (100.00%) | 0.433 |
| Referred another hospital | 19 (67.86%) | 9 (32.14%) | 28 (100.00%) | 0.059 |
| Exitus | 20 (51.28%) | 19 (48.72%) | 39 (100.00%) | 0.873 |
| Diagnosis | ||||
| Stroke | 290 (56.31%) | 225 (43.69%) | 515 (100.00%) | |
| Ischemic | 206 (56.44%) | 159 (43.56%) | 365 (100.00%) | |
| Hemorrhagic | 25 (58.14%) | 18 (41.86%) | 43 (100.00%) | 0.286 |
| Transient ischemic attack | 59 (55.14%) | 48 (44.86%) | 107 (100.00%) | 0.288 |
| Seizure | 53 (64.63%) | 29 (35.37%) | 82 (100.00%) | |
| Other | 245 (63.64%) | 140 (36.36%) | 385 (100.00%) | |
Data are given as frequency (percentage)
p values were obtained by one-sample chi-square test with equal probabilities
Fig. 1Status after emergency department before and after pandemic
Fig. 2Stroke types of the patients before and after pandemic
Fig. 3Diagnosis of the patients before and after pandemic
Summary of admission characteristics in patients admitted before and after the pandemic
| BP ( | AP ( | ||
|---|---|---|---|
| Age | 65.62 ± 17.59 | 63.78 ± 16.27 | 0.100 |
| Gender | |||
| Male | 294 (50.34%) | 208 (53.06%) | 0.405 |
| Female | 290 (49.66%) | 184 (46.94%) | |
| Length of stay in hospital/day | 6 (4–10) | 5 (4–11) | 0.356 |
| Malignancy | 12 (2.05%) | 18 (4.59%) | |
| Cerebrovascular accident history | 108 (18.49%) | 52 (13.27%) | |
| Cause of admission to the hospital | |||
| Impaired consciousness | 131 (22.43%) | 66 (16.84%) | |
| Headache | 27 (4.62%) | 15 (3.83%) | 0.660 |
| Dizziness | 52 (8.90%) | 24 (6.12%) | 0.112 |
| Speech disorder | 75 (12.84%) | 47 (11.99%) | 0.693 |
| Loss of strength | 130 (22.26%) | 128 (32.65%) | |
| Visual impairment | 6 (1.03%) | 14 (3.57%) | |
| Syncope | 37 (6.34%) | 19 (4.85%) | 0.401 |
| Paresthesia | 37 (6.34%) | 41 (10.46%) | |
| Cranial neuropathy | 22 (3.77%) | 18 (4.59%) | 0.637 |
Data are given as mean ± standard deviation or median (1st quartile–3rd quartile) for continuous variables according to normality of distribution and as frequency (percentage) for categorical variables
Summary of stroke patients’ characteristics with regard to admission before and after pandemic
| BP ( | AP ( | ||
|---|---|---|---|
| Age | 69.73 ± 13.19 | 66.88 ± 12.60 | |
| Gender | |||
| Male | 147 (50.69%) | 121 (53.78%) | 0.487 |
| Female | 143 (49.31%) | 104 (46.22%) | |
| Length of stay in hospital/day | 5 (1–8) | 4 (0–7) | |
| Hospitalized in neurology department | 236 (81.38%) | 163 (72.44%) | |
| Exitus | 18 (7.63%) | 18 (11.04%) | 0.321 |
| Stroke type | |||
| Ischemic | 206 (71.03%) | 159 (70.67%) | 0.942 |
| Hemorrhagic | 25 (8.62%) | 18 (8.00%) | |
| Transient ischemic attack | 59 (20.34%) | 48 (21.33%) | |
| Vessel | |||
| Large | 38 (18.81%) | 28 (18.06%) | 0.857 |
| Small | 164 (81.19%) | 127 (81.94%) | |
| System | |||
| Anterior | 162 (80.20%) | 132 (85.16%) | 0.280 |
| Posterior | 40 (19.80%) | 23 (14.84%) | |
Data are given as mean ± standard deviation or median (1st quartile–3rd quartile) for continuous variables according to normality of distribution and as frequency (percentage) for categorical variables