| Literature DB >> 33420529 |
Camara Sharperson1, Tarek N Hanna2,3, Keith D Herr4, Matthew E Zygmont4, Roger L Gerard1, Jamlik-Omari Johnson4.
Abstract
PURPOSE: To investigate the effect of the COVID-19 pandemic on emergency department (ED) imaging.Entities:
Keywords: COVID-19; Emergency Department; SARS-CoV-2; imaging; radiology
Mesh:
Year: 2021 PMID: 33420529 PMCID: PMC7793387 DOI: 10.1007/s10140-020-01889-9
Source DB: PubMed Journal: Emerg Radiol ISSN: 1070-3004
Patient demographic and clinical characteristics of ED visits by time period and COVID-19 status
| ED visits | All patients | Pandemic period | |||||
|---|---|---|---|---|---|---|---|
| Pre-pandemic | Pandemic period | Non-COVID-19 patients | COVID-19 PUIs | COVID-19+ | |||
| Demographic characteristics | |||||||
| Age (years), mean ± SD [median] | 51.2 ± 20.2 [51.0] | 50.9 ± 19.0 [50.0] | 0.278 | 49.9 ± 19.0 [49.0] | 54.0 ± 18.5 [54.0] | 61.8 ± 16.9 [62.0] | < 0.001* |
| 18–39 | 6699 (34.3%) | 3646 (32.8%) | 0.011* | 3290 (35.0%) | 305 (25.1%) | 51 (10.0%) | < 0.001* |
| 40–59 | 5838 (29.8%) | 3771 (33.9%) | < 0.001* | 3151 (33.6%) | 448 (36.9%) | 172 (33.9%) | < 0.001* |
| 60–79 | 5128 (26.2%) | 2744 (24.7%) | 0.003* | 2207 (23.5%) | 333 (27.5%) | 204 (40.2%) | < 0.001* |
| ≥ 80 | 1893 (9.7%) | 947 (8.5%) | < 0.001* | 739 (7.9%) | 127 (10.5%) | 81 (15.9%) | < 0.001* |
| Female, | 11,357 (58.1%) | 5818 (52.4%) | < 0.001* | 4875 (51.9%) | 697 (57.5%) | 246 (48.4%) | < 0.001* |
| Race/ethnicity, | |||||||
| Black | 10,785 (55.1%) | 6425 (57.8%) | < 0.001* | 5354 (57.0%) | 745 (61.4%) | 326 (64.2%) | < 0.001* |
| White/Caucasian | 7344 (37.5%) | 3645 (32.8%) | < 0.001* | 3159 (33.7%) | 365 (30.1%) | 121 (23.8%) | < 0.001* |
| Other3 | 807 (4.1%) | 448 (4.0%) | 0.693 | 383 (4.1%) | 50 (4.1%) | 15 (3.0%) | 0.627 |
| Unknown | 622 (3.2%) | 590 (5.3%) | < 0.001* | 491 (5.2%) | 53 (4.4%) | 46 (9.1%) | < 0.001* |
| Clinical characteristics | |||||||
| Time of arrival, | |||||||
| Morning (5:00 am–11:59 am) | 5159 (26.4%) | 2910 (26.2%) | 0.730 | 2494 (26.6%) | 301 (24.8%) | 115 (22.6%) | 0.151 |
| Afternoon (12:00 pm–4:59 pm) | 3668 (18.8%) | 2060 (18.5%) | 0.651 | 1702 (18.1%) | 256 (21.1%) | 102 (20.1%) | 0.063 |
| Evening (5:00 pm–8:49 pm) | 6246 (31.9%) | 3447 (31.0%) | 0.102 | 2851 (30.4%) | 410 (33.8%) | 186 (36.6%) | 0.001* |
| Night (9:00 pm–4:59 am) | 4485 (22.9%) | 2691 (24.2%) | 0.010* | 2340 (24.9%) | 246 (20.3%) | 105 (20.7%) | < 0.001* |
| ED arrival mode, | |||||||
| Ambulance4 | 4257 (21.8%) | 3155 (28.4%) | < 0.001* | 2513 (26.8%) | 390 (32.2%) | 252 (49.6%) | < 0.001* |
| Private vehicle | 14,031 (71.7%) | 7094 (63.9%) | < 0.001* | 6067 (64.6%) | 781 (64.4%) | 246 (48.4%) | < 0.001* |
| Walk | 489 (2.5%) | 436 (3.9%) | < 0.001* | 403 (4.3%) | 28 (2.3%) | 5 (1.0%) | < 0.001* |
| Other5 | 781 (4.0%) | 423 (3.8%) | 0.422 | 404 (4.3%) | 14 (1.2%) | 5 (1.0%) | < 0.001* |
| Length of stay (minutes), mean ± SD [median] | 377.4 ± 379.0 [272.8] | 321.2 ± 348.5 [244.6] | < 0.001* | 314.7 ± 339.4 [235.2] | 343.4 ± 301.1 [284.7] | 388.7 ± 556.4 [288.6] | < 0.001* |
| ED disposition, | |||||||
| Discharge | 13,075 (66.9%) | 7239 (65.2%) | 0.003* | 6502 (69.3%) | 644 (53.1%) | 93 (18.3%) | < 0.001* |
| Admit | 5349 (27.3%) | 3338 (30.1%) | < 0.001* | 2383 (25.4%) | 550 (45.3%) | 405 (79.7%) | < 0.001* |
| Transfer | 218 (1.1%) | 127 (1.1%) | 0.819 | 118 (1.3%) | 5 (0.4%) | 4 (0.8%) | 0.056 |
| Other6 | 916 (4.7%) | 404 (3.6%) | < 0.001* | 384 (4.1%) | 14 (1.2%) | 6 (1.2%) | < 0.001* |
| ED acuity, | |||||||
| Immediate | 504 (2.6%) | 280 (2.5%) | 0.764 | 195 (2.1%) | 54 (4.5%) | 31 (6.1%) | < 0.001* |
| Emergent | 4646 (23.8%) | 2738 (24.6%) | 0.078 | 2130 (22.7%) | 374 (30.8%) | 234 (46.1%) | < 0.001* |
| Urgent | 11,353 (58.0%) | 6620 (59.6%) | 0.008* | 5659 (60.3%) | 724 (59.7%) | 237 (46.7%) | < 0.001* |
| Stable | 2727 (13.9%) | 1250 (11.3%) | < 0.001* | 1183 (12.6%) | 61 (5.0%) | 6 (1.2%) | < 0.001* |
| Non-urgent | 129 (0.7%) | 95 (0.9%) | 0.053 | 95 (1.0%) | 0 (0.0%) | 0 (0.0%) | < 0.001* |
| Unknown | 199 (1.0%) | 125 (1.1%) | 0.375 | 125 (1.3%) | 0 (0.0%) | 0 (0.0%) | < 0.001* |
Abbreviations: ED, emergency department; PUI, persons under investigation; SD, standard deviation
Pre-pandemic period was defined as March 25, 2019, to April 29, 2019 to match days of the week and seasonality of pandemic period (March 23, 2020, to April 27, 2020). Patients were determined to be non-COVID-19 patients during the pandemic period if they did not have a COVID-19 diagnosis as their ED discharge diagnosis, did not have COVID-19 listed as an indication, and did not have COVID-19-positive test. Patients were considered “persons under investigations” if they have a PUI indication for COVID-19 mentioned in imaging indication or COVID-19 as ED discharge diagnosis, and did not have a COVID-19-positive encounter. COVID-19-positive patients had a confirmed COVID-19-positive encounter
1p values were calculated with Chi-square tests for categorical variables and t tests for continuous variables
2p values were calculated with Chi-square tests for categorical variables and ANOVA for continuous variables
3Other race/ethnicity includes American Indian or Alaskan Native, Asian, Multiple, and Native Hawaiian, or Other Pacific Islander
4ED arrival mode by ambulance includes EMS ground and air transport
5Other ED arrival mode includes by police/jail, public transportation, unknown, and not reported
6Other ED disposition includes against medical advice, elopement, expired, left without being seen, left before triage, registered in error, and not recorded
Imaging performed for ED visits by time period and COVID-19 status
| Imaging characteristics | All patients | Patients during pandemic period | |||||
|---|---|---|---|---|---|---|---|
| Pre-pandemicperiod | Pandemicperiod | Non-COVID-19patients | COVID-19 PUIs | COVID-19+ | |||
| Image modality, | |||||||
| Radiograph | 11,612 (52.4%) | 11,191 (57.2%) | < 0.001* | 7478 (52.7%) | 2083 (62.0%) | 1,630 (81.1%) | < 0.001* |
| Chest | 7616 (65.6%) | 8060 (72.0%) | < 0.001* | 5102 (68.2%) | 1722 (82.7%) | 1236 (75.8%) | < 0.001* |
| Spine | 616 (5.3%) | 197 (1.8%) | < 0.001* | 184 (2.5%) | 13 (0.6%) | 0 (0.0%) | < 0.001* |
| Knee | 443 (3.8%) | 164 (1.5%) | < 0.001* | 152 (2.0%) | 7 (0.3%) | 5 (0.3%) | < 0.001* |
| Thoracoabdomen | 37 (0.3%) | 679 (6.1%) | < 0.001* | 235 (3.1%) | 139 (6.7%) | 305 (18.7%) | < 0.001* |
| Other | 2487 (21.4%) | 1461 (13.1%) | < 0.001* | 1336 (17.9%) | 111 (5.3%) | 14 (0.9%) | < 0.001* |
| Computed tomography (CT) | 6032 (27.2%) | 4569 (23.4%) | < 0.001* | 3606 (25.4%) | 731 (21.8%) | 232 (11.5%) | < 0.001* |
| Head | 2148 (35.6%) | 1485 (32.5%) | < 0.001* | 1250 (34.7%) | 157 (21.5%) | 78 (33.6%) | < 0.001* |
| Abdomen and pelvis | 2027 (33.6%) | 1422 (31.1%) | 0.007* | 1199 (33.3%) | 178 (24.4%) | 45 (19.4%) | < 0.001* |
| Chest | 1037 (17.2%) | 1066 (23.3%) | < 0.001* | 631 (17.5%) | 337 (46.1%) | 98 (42.2%) | < 0.001* |
| Spine | 346 (5.7%) | 215 (4.7%) | 0.019* | 193 (5.4%) | 17 (2.3%) | 5 (2.2%) | < 0.001* |
| Other | 474 (7.9%) | 381 (8.3%) | 0.368 | 333 (9.2%) | 42 (5.7%) | 6 (2.6%) | < 0.001* |
| Ultrasound | 2139 (9.6%) | 1662 (8.5%) | < 0.001* | 1294 (9.1%) | 259 (7.7%) | 109 (5.4%) | < 0.001* |
| Pelvis | 724 (33.8%) | 276 (16.6%) | < 0.001* | 272 (21.0%) | 4 (1.5%) | 0 (0.0%) | < 0.001* |
| Lower extremity | 504 (23.6%) | 453 (27.3%) | 0.009* | 295 (22.8%) | 100 (38.6%) | 58 (53.2%) | < 0.001* |
| Abdomen | 335 (15.7%) | 338 (20.3%) | < 0.001* | 261 (20.2%) | 58 (22.4%) | 19 (17.4%) | 0.003* |
| Retroperitoneum | 144 (6.7%) | 228 (13.7%) | < 0.001* | 160 (12.4%) | 52 (20.1%) | 16 (14.7%) | < 0.001* |
| Fetus | 163 (7.6%) | 78 (4.7%) | < 0.001* | 74 (5.7%) | 3 (1.2%) | 1 (0.9%) | 0.001* |
| Upper extremity | 78 (3.6%) | 97 (5.8%) | 0.001* | 63 (4.9%) | 20 (7.7%) | 14 (12.8%) | < 0.001* |
| Other | 191 (8.9%) | 192 (11.6%) | 0.008* | 169 (13.1%) | 22 (8.5%) | 1 (0.9%) | < 0.001* |
| Magnetic resonanceimaging (MRI) | 658 (3.0%) | 750 (3.8%) | < 0.001* | 652 (4.6%) | 90 (2.7%) | 8 (0.4%) | < 0.001* |
| Computed tomographyangiography (CTA) | 477 (2.2%) | 490 (2.5%) | 0.016* | 437 (3.1%) | 43 (1.3%) | 10 (0.5%) | < 0.001* |
| Positron emissiontomography (PET) | 403 (1.8%) | 222 (1.1%) | < 0.001* | 189 (1.3%) | 33 (1.0%) | 0 (0.0%) | < 0.001* |
| Magnetic resonanceangiography (MRA) | 329 (1.5%) | 189 (1.0%) | < 0.001* | 172 (1.2%) | 12 (0.4%) | 5 (0.2%) | < 0.001* |
| Other3 | 522 (2.4%) | 482 (2.5%) | 0.462 | 356 (2.5%) | 109 (3.2%) | 17 (0.8%) | < 0.001* |
| Number of images perencounter, mean ± SD [median] | 1.7 ± 1.1 [1.0] | 2.4 ± 2.8 [1.0] | < 0.001* | 2.2 ± 2.3 [1.0] | 2.8 ± 3.3 [2.0] | 4.0 ± 5.1 [2.0] | < 0.001* |
| Normal/non-acute images, | 12,581 (56.7%) | 7,948 (40.6%) | < 0.001* | 6,544 (46.1%) | 1,150 (34.2%) | 254 (12.6%) | < 0.001* |
Abbreviations: ED, emergency department; PUI, persons under investigation; SD, standard deviation
Pre-pandemic period was defined as March 25, 2019, to April 29, 2019, to match days of the week and seasonality of pandemic period (March 23, 2020, to April 27, 2020). Patients were determined to be non-COVID-19 patients during the pandemic period if they did not have a COVID-19 diagnosis as their ED discharge diagnosis, did not have COVID-19 listed as an indication, and did not have COVID-19 positive test. Patients were considered “persons under investigations” if they have a PUI indication for COVID-19 mentioned in imaging indication or COVID-19 as ED discharge diagnosis, and did not have a COVID-19-positive encounter. COVID-19-positive patients had a confirmed COVID-19-positive encounter
1p values were calculated with Chi-square tests for categorical variables and t tests for continuous variables
2p values were calculated with Chi-square tests for categorical variables and ANOVA for continuous variables
3Other includes mammogram, interventional radiology, magnetic resonance venography, nuclear medicine, myocardial perfusion stress tests, and consultations from outside scans
Fig. 1Imaging by time period. Stacked bar charts summarizing the frequency of types of ED imaging by time period