| Literature DB >> 34231186 |
Adnan I Qureshi1, William I Baskett2, Wei Huang1, Danny Myers3, Iryna Lobanova4, Muhammad F Ishfaq1, Syed Hasan Naqvi5, Brandi R French1, Premkumar N Chandrasekaran1, Farhan Siddiq6, Camilo R Gomez1, Chi-Ren Shyu2,5,7.
Abstract
BACKGROUND: To identify whether the risk of intracerebral hemorrhage is higher in patients with coronavirus disease 2019 (COVID-19), we compared the risk factors, comorbidities, and outcomes in patients intracerebral hemorrhage and COVID-19 and those without COVID-19.Entities:
Keywords: COVID-19; Death; Disability; Electronic medical records; Intracerebral hemorrhage; SARS-CoV-2
Mesh:
Year: 2021 PMID: 34231186 PMCID: PMC8260011 DOI: 10.1007/s12028-021-01297-y
Source DB: PubMed Journal: Neurocrit Care ISSN: 1541-6933 Impact factor: 3.210
Demographic and clinical characteristics and outcome of patients according to COVID-19 status and occurrence of intracerebral hemorrhage
| Items | Patients with intracerebral hemorrhage and COVID-19 ( | Patients with intracerebral hemorrhage but without COVID-19 ( | Patients with COVID-19 but without intracerebral hemorrhage ( | ||
|---|---|---|---|---|---|
| Age | |||||
| Mean ± SD (year) | 62.1 ± 17.2 | 65.0 ± 17.6 | .0646 | 49.7 ± 21.3 | < .0001 |
| Age < 35 | 12 (7.8%) | 46 (6.9%) | .6958 | 24,938 (29.2%) | < .0001 |
| Age 35–54 | 28 (18.2%) | 111 (16.6%) | .6460 | 23,177 (27.1%) | .0127 |
| Age 55–70 | 65 (42.2%) | 216 (32.4%) | .0206 | 20,387 (23.8%) | < .0001 |
| Age > 70 | 49 (31.8%) | 294 (44.1%) | .0054 | 16,989 (19.9%) | .0002 |
| Sex | |||||
| Men | 103 (66.9%) | 365 (54.7%) | .0060 | 38,594 (45.1%) | < .0001 |
| Women | 51 (33.1%) | 302 (45.3%) | .0060 | 46,521 (54.4%) | < .0001 |
| Race | |||||
| White, non-Hispanic | 39 (25.3%) | 362 (54.3%) | < .0001 | 26,585 (31.1%) | .1221 |
| African American | 32 (20.8%) | 88 (13.2%) | .0163 | 16,331 (19.1%) | .5970 |
| Hispanic | 53 (34.4%) | 144 (21.6%) | .0008 | 33,751 (39.5%) | .1990 |
| Others | 30 (19.5%) | 73 (10.9%) | .0039 | 8,824 (10.3%) | .0002 |
| Hypertension | 126 (81.8%) | 562 (84.3%) | .4589 | 40,755 (47.7%) | < .0001 |
| Diabetes mellitus | 76 (49.4%) | 284 (42.6%) | .1269 | 26,305 (30.8%) | < .0001 |
| Nicotine dependence/tobacco use | 32 (20.8%) | 183 (27.4%) | .0903 | 13,481 (15.8%) | .0884 |
| Alcohol use/abuse | 13 (8.4%) | 98 (14.7%) | .0409 | 4,397 (5.1%) | .0643 |
| Hyperlipidemia | 78 (50.6%) | 395 (59.2%) | .0524 | 29,102 (34%) | < .0001 |
| Atrial fibrillation | 49 (31.8%) | 214 (32.1%) | .9492 | 8,591 (10%) | < .0001 |
| Congestive heart failure | 38 (24.7%) | 197 (29.5%) | .2291 | 10,685 (12.5%) | < .0001 |
| Long-term anticoagulant use | 43 (27.9%) | 162 (24.3%) | .3476 | 8,368 (9.8%) | < .0001 |
| Previous intracerebral hemorrhage | 28 (18.2%) | 111 (16.6%) | .6460 | 285 (0.3%) | < .0001 |
| In-hospital events | |||||
| Hospitalization duration (mean ± SD) | 19 ± 18 | 14 ± 16 | .0007 | 10 ± 12 | < .0001 |
| Ischemic stroke (including cerebral ischemia) | 55 (35.7%) | 232 (34.8%) | .8270 | 1,286 (1.5%) | < .0001 |
| Subarachnoid hemorrhage | 18 (11.7%) | 87 (13%) | .6499 | 54 (0.1%) | < .0001 |
| Transient cerebral ischemic attacks | 2 (1.3%) | 4 (0.6%) | .3586 | 177 (0.2%) | .0030 |
| Cerebral edema | 55 (35.7%) | 266 (39.9%) | .3396 | 147 (0.2%) | < .0001 |
| Pneumonia | 90 (58.4%) | 150 (22.5%) | < .0001 | 31,987 (37.4%) | < .0001 |
| Deep venous thrombosis | 15 (9.7%) | 42 (6.3%) | .1297 | 1,363 (1.6%) | < .0001 |
| Pulmonary embolism | 3 (1.9%) | 13 (1.9%) | .9994 | 1,194 (1.4%) | .5603 |
| Urinary tract infection | 25(16.2%) | 136 (20.4%) | .2417 | 6309 (7.4%) | < .0001 |
| Acute kidney injury | 75 (48.7%) | 207 (31%) | < .0001 | 12,245 (14.3%) | < .0001 |
| Hepatic failure | 11 (7.1%) | 30 (4.5%) | .1744 | 862 (1%) | < .0001 |
| Cardiac arrest | 8 (5.2%) | 33 (4.9%) | .8990 | 1417 (1.7%) | .0006 |
| Acute myocardial infarction | 17 (11%) | 43 (6.4%) | .0484 | 2045 (2.4%) | < .0001 |
| Sepsis, including septic shock | 64 (41.6%) | 150 (22.5%) | < .0001 | 11,827 (13.8%) | < .0001 |
| Respiratory failure | 95 (61.7%) | 282 (42.3%) | < .0001 | 21,507 (25.2%) | < .0001 |
| Received intubation/mechanical ventilationa,b | 46 (29.9%) | 138 (20.7%) | .0138 | 3690 (4.3%) | < .0001 |
| Received ventriculostomy | 6 (3.9%) | 52 (7.8%) | .0887 | 11 (0%) | < .0001 |
| Received intraventricular catheter | 5 (3.2%) | 42 (6.3%) | .1420 | 8 (0%) | < .0001 |
| Received intracranial pressure monitoring | 1 (0.6%) | 6 (0.9%) | .7608 | 1 (0%) | < .0001 |
| Received tracheostomy | 6 (3.9%) | 44 (6.6%) | .2065 | 420 (0.5%) | < .0001 |
| Outcome | |||||
| Nonroutine discharge or in-hospital death | 129 (83.8%) | 522 (78.3%) | .1286 | 22,048 (25.8%) | < .0001 |
| In-hospital death | 62 (40.3%) | 127 (19%) | < .0001 | 5,799 (6.8%) | < .0001 |
COVID-19 coronavirus disease 2019, SD standard deviation
aComparison between patients with intracerebral hemorrhage and COVID-19 and those without COVID-19
bComparison between patients with COVID-19 with intracerebral hemorrhage and those without intracerebral hemorrhage