| Literature DB >> 34974740 |
Alexandra Hahn1, Tommy Brown2, Brett Chapman3, Alan Marr3, Lance Stuke3, Patrick Greiffenstein3, Jonathan Schoen3, John P Hunt3, Alison Smith2.
Abstract
INTRODUCTION: The COVID-19 pandemic changed the face of health care worldwide. While the impacts from this catastrophe are still being measured, it is important to understand how this pandemic impacted existing health care systems. As such, the objective of this study was to quantify its effects on trauma volume at an urban Level 1 trauma center in one of the earliest and most significantly affected US cities.Entities:
Keywords: COVID-19; mechanism of injury; trauma volume
Mesh:
Year: 2022 PMID: 34974740 PMCID: PMC8926915 DOI: 10.1177/00031348211054075
Source DB: PubMed Journal: Am Surg ISSN: 0003-1348 Impact factor: 0.688
Study Demographics and Clinical Outcomes for Patients Presenting to a Level I Trauma Center.
| Demographics | Pre-COVID | COVID | |
|---|---|---|---|
| (2017-2019) | (2020) | ||
| Penetrating Mechanism, n (%) | n = 11 403 | n = 4138 | |
| Age, mean years (SEM) | 40.0 (.2) | 39.1 (.3) | |
| Male gender, n (%) | 8384 (73.5) | 3043 (73.5) | 1.0 |
| Caucasian, n (%) | 4575 (40.1) | 1470 (35.5) | < |
| Black, n (%) | 5857 (51.4) | 2339 (56.5) | < |
| Trauma activations | |||
| Major traumas, n (%) | 4062 (35.6) | 1592 (38.5) | < |
| Minor traumas, n (%) | 4663 (40.9) | 1698 (41.0) | .88 |
| Trauma consults, n (%) | 2678 (23.5) | 848 (20.5) | < |
| Trauma transfers, n (%) | 1901 (16.7) | 689 (16.7) | 1.0 |
| Injury information | |||
| Penetrating, n (%) | 2738 (24.0) | 1204 (29.1) | < |
| ISS, mean (SEM) | 8.0 (.08) | 7.5 (.1) | < |
| Clinical outcomes | |||
| COVID-19+, n (%) | 0 | 87 (2.1) | < |
| Admitted, n (%) | 7220 (63.3) | 2526 (65.0) | |
| ICU admission, n (%) | 2931 (25.7) | 977 (23.6) | < |
| HLOS, mean days (SEM) | 4.6 (.1) | 4.5 (.1) | .57 |
| ICU LOS, mean (days) | 5.4 (.1) | 5.7 (.2) | .14 |
| In-hospital mortality, n (%) | 600 (5.5) | 220 (5.3) | .90 |
| Operative procedure, n (%) | 3896 (34.2) | 1363 (32.9) | .16 |
Detailed Information on the Mechanism of Trauma Broken Down into the Pre-COVID-19 Cohort and COVID-19 Cohort.
| Pre-COVID | COVID | ||
|---|---|---|---|
| (2017-2019) | (2020) | ||
| Penetrating mechanism, n (%) | n = 2738 | n = 1204 | |
| Gunshot wound | 1784 (65.2) | 853 (70.8) | < |
| Stabbing | 912 (33.3) | 338 (28.1) | < |
| Animal bite | 42 (1.5) | 13 (1.1) | .30 |
| Blunt mechanism, n (%) | n = 8669 | n = 2934 | |
| Motor vehicle collision | 2947 (34.0) | 1236 (42.1) | < |
| Motorcycle collision | 664 (7.7) | 187 (6.4) | |
| Pedestrian | 1215 (14.0) | 346 (28.7) | < |
| Fall | 2053 (23.7) | 639 (21.8) | |
| Crush | 52 (.6) | 21 (.7) | .50 |
| Assault | 957 (11.0) | 260 (8.9) | < |
| Miscellaneous, n (%) | 781 | 245 | |
| Burn | 418 (53.5) | 108 (44.1) |
Figure 1.Breakdown of total number of patients presenting to an urban Level I trauma center with a penetrating trauma mechanism based upon quarter of presentation.
Figure 2.Breakdown of total number of patients presenting to an urban Level I trauma center with a blunt trauma mechanism based upon quarter of presentation.