| Literature DB >> 32514620 |
Nils Hecht1, Lars Wessels2, Finn-Ove Werft2, Ulf C Schneider2, Marcus Czabanka2, Peter Vajkoczy2.
Abstract
BACKGROUND: To investigate whether patients with critical emergency conditions are seeking or receiving the medical care that they require, we characterized the reality of care for patients presenting with neuro-emergencies during the first phase of the COVID-19 pandemic.Entities:
Keywords: COVID-19 pandemic; Chronic subdural hematoma; Collateral damage; Coronavirus; Neurosurgery; Subarachnoid hemorrhage
Mesh:
Year: 2020 PMID: 32514620 PMCID: PMC7276655 DOI: 10.1007/s00701-020-04437-z
Source DB: PubMed Journal: Acta Neurochir (Wien) ISSN: 0001-6268 Impact factor: 2.216
Demographics and clinical presentation
| 2019 | 2020 | ||
|---|---|---|---|
| Total number of admissions ( | 655 | 352 | |
| Age in years (median, range) | 60 (19–94) | 59 (19–92) | |
| Age group in years, | |||
| ≤ 70 | 455 (69%) | 253 (72%) | |
| > 70 | 200 (31%) | 99 (28%) | |
| Gender ( | |||
| Male | 326 (50%) | 181 (51%) | |
| Female | 329 (50%) | 171 (49%) | |
| Type of admission ( | |||
| Emergency | 217 (33%) | 130 (37%) | |
| Non-emergency | 438 (67%) | 222 (63%) | |
| Admission route of emergencies ( | * | ||
| Emergency room | 132 (61%) | 99 (76%) | |
| Outpatient clinic | 18 (8%) | 4 (3%) | |
| External referral | 67 (31%) | 27 (21%) | |
| Category of emergency admissions ( | |||
| Vascular | 39 (18%) | 18 (14%) | |
| Cranial oncological | 40 (18%) | 28 (22%) | |
| Spinal | 43 (20%) | 21 (16%) | |
| Trauma | 51 (24%) | 41 (31%) | |
| Hydrocephalus | 14 (6%) | 5 (4%) | |
| Infection | 25 (12%) | 11 (8%) | |
| Other | 5 (2%) | 6 (5%) | |
| Management of emergencies ( | |||
| Surgical | 127 (59%) | 73 (56%) | |
| Non-surgical | 90 (41%) | 57 (44%) |
Fig. 1Line graphs of the total and individual types of neuro-emergencies that were admitted to our department between February 1 and April 15 in 2019 (blue) compared with the same time period during the COVID-19 pandemic in 2020 (red). During the pandemic, a significantly lower number of admissions with neuro-emergencies (*p = 0.0007) and specifically vascular (*p = 0.036), spinal (*p = 0.007), and hydrocephalus emergencies (*p = 0.048) were noted compared with the same time period in 2019
Duration and severity of symptoms. IQR, interquartile range; GCS, Glasgow Coma Scale score
| 2019 | 2020 | ||
|---|---|---|---|
| Hours from symptom onset to presentation (median, IQR) | |||
| Spine | 24 (9–48) | 72 (18–84) | * |
| Vascular emergency | 4 (3–8) | 6 (3–36) | |
| Hydrocephalus | 3 (1–24) | 4 (2–48) | |
| Traumatic brain injury | 1 (1–1) | 1 (1–2) | |
| Symptoms—spine ( | |||
| Asymptomatic | - | - | |
| Pain | 27 (63%) | 10 (48%) | |
| Focal neurological deficit | 16 (37%) | 11 (52%) | |
| Reduced GCS | - | - | |
| Symptoms—vascular emergency ( | |||
| Asymptomatic | - | - | |
| Pain | 13 (33%) | 4 (22%) | |
| Focal neurological deficit | 17 (44%) | 8 (44%) | |
| Reduced GCS | 9 (23%) | 6 (34%) | |
| Symptoms—hydrocephalus ( | |||
| Asymptomatic | 2 (14%) | 1 (20%) | |
| Pain | 5 (36%) | 1 (20%) | |
| Focal neurological deficit | 3 (21%) | 1 (20%) | |
| Reduced GCS | 4 (29%) | 2 (40%) | |
| Symptoms—traumatic brain injury ( | |||
| Asymptomatic | 15 (29%) | 7 (17%) | |
| Pain | 10 (20%) | 10 (24%) | |
| Focal neurological deficit | 9 (18%) | 6 (15%) | |
| Reduced GCS | 17 (33%) | 18 (44%) | |
Presentation of patients suffering aneurysmal subarachnoid hemorrhage
| 2019 | 2020 | ||
|---|---|---|---|
| Aneurysmal subarachnoid hemorrhage ( | 9 | 8 | |
| Hunt and Hess grade ( | |||
| I | 3 (33%) | 3 (39%) | |
| II | 2 (23%) | 1 (12%) | |
| III | 1 (11%) | 1 (12%) | |
| IV | - | 1 (12%) | |
| V | 3 (33%) | 2 (25%) | |
| Aneurysm localization ( | |||
| Anterior circulation | 7 (78%) | 6 (75%) | |
| Posterior circulation | 2 (22%) | 2 (25%) | |
| Treatment modality ( | |||
| Microsurgical | 5 (56%) | 4 (50%) | |
| Endovascular | 4 (44%) | 4 (50%) |
Fig. 2Line graph illustrating the reality of care for emergency admissions and treatment of chronic subdural hematoma (cSDH) during the COVID-19 pandemic between February 1 and April 15 compared with the same time period of the years 2014–2019. For 2014–2019, data is presented as median and the dotted lines illustrate the range (minimum to maximum). The day-by-day admission and treatment numbers during the pandemic were significantly lower compared with those in all previous years
Presentation and outcome of patients suffering chronic subdural hematoma. GCS, Glasgow Coma Scale score; mRS, modified Rankin Scale score
| 2014–2019 | 2020 | ||
|---|---|---|---|
| Age in years (median, range) | 77 (33–95) | 75 (46–85) | |
| Age group in years, | |||
| ≤ 70 | 31 (26%) | 6 (43%) | |
| > 70 | 89 (74%) | 8 (57%) | |
| Gender ( | |||
| Male | 77 (64%) | 10 (71%) | |
| Female | 43 (36%) | 4 (29%) | |
| Side ( | |||
| Left | 53 (44%) | 3 (21%) | |
| Right | 41 (34%) | 7 (50%) | |
| Bilateral | 26 (22%) | 4 (29%) | |
| Category of symptoms ( | * | ||
| Headache/vertigo | 50 (41%) | 2 (14%) | |
| Motor deficit | 38 (32%) | 5 (36%) | |
| Reduced GCS | 21 (18%) | 4 (29%) | |
| Aphasia | 11 (9%) | 3 (21%) | |
| Outcome at discharge | * | ||
| mRS 0–2 | 95 (79%) | 6 (43%) | |
| mRS 3–6 | 25 (21%) | 8 (57%) |