| Literature DB >> 34150915 |
Gaurav Kaushik1, Ankita Sharma1, Dinesh Bagaria1, Subodh Kumar1, Sushma Sagar1, Amit Gupta1.
Abstract
OBJECTIVE: To describe the restructuring in-hospital systems of care at a Level -1 trauma center in India and to analyze an injury volume and patterns for future preparedness as well as to establish a specific injuries preventive measures during health emergencies like COVID-19.Entities:
Keywords: COVID-19; Hospital; Pandemic; Trauma Care
Year: 2021 PMID: 34150915 PMCID: PMC8195829 DOI: 10.30476/BEAT.2021.88507
Source DB: PubMed Journal: Bull Emerg Trauma ISSN: 2322-2522
Fig. 1Numbers of visits to trauma emergency services throughout the pre-lockdown and lockdown period
Fig. 2Triage wise comparison of daily emergency department (ED) footfall during pre-lockdown and lockdown periods
Fig. 3Triage wise breakup of all emergency department (ED) visits during pre-lockdown and lockdown period
Comparison of demographics, injury severity, mechanism, disposition, and outcome of patients between two time periods
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| Gender | 0.552 | |||
| Male | 478 | 345 (78) | 133 (76) | |
| Female | 133 | 92 (21) | 41 (24) | |
| Transgender | 3 | 03 (1) | 0 (0) | |
| Age Bands (Years) | 0.772 | |||
| 0-14 | 85 | 63 (14) | 22 (13) | |
| 15-64 | 475 | 340 (77) | 135 (77) | |
| 65+ | 54 | 37 (9) | 17 (10) | |
| Dominant type | 0.006 | |||
| Blunt | 484 | 336 (76) | 148 (85) | |
| Penetrating | 110 | 84 (19) | 26 (15) | |
| Mixed | 20 | 20 (5) | 0 (0) | |
| Severity | <0.001 | |||
| Major ISSa>12 | 130 | 109 (25) | 21 (12) | |
| Moderate ISS <12 | 484 | 331 (75) | 153 (88) | |
| GCSb | 0.058 | |||
| 3-8 | 58 | 37 (8) | 21 (12) | |
| 9-12 | 46 | 39 (9) | 7 (4) | |
| 13-15 | 510 | 364 (83) | 146 (84) | |
| Mechanism of injury | ||||
| Railway track injury | 7 | 7 (2) | 0 (0) | 0.200 |
| Assault | 42 | 26 (6) | 16 (9) | 0.146 |
| Fall | 229 | 151 (34) | 78 (45) | 0.015 |
| Occupational injury | 9 | 7 (2) | 02 (1) | 1.000 |
| RTIc | 293 | 228 (51) | 65 (38) | 0.003 |
| Self-harm | 5 | 03 (1) | 02 (1) | 0.625 |
| Others | 29 | 18 (4) | 11 (6) | 0.240 |
| Mode of Arrival | ||||
| M2Wd | 15 | 3 (1) | 12 (7) | <0.001 |
| M3We | 116 | 112 (25) | 4 (2) | <0.001 |
| Private Car | 270 | 170 (39) | 100 (57) | <0.001 |
| Ambulance | 146 | 112 (25) | 34 (20) | 0.121 |
| Police vehicle | 61 | 37 (8) | 24 (14) | 0.044 |
| Unknown | 6 | 6 (2) | 0 (0) | 0.191 |
| Primary care received | 0.005 | |||
| Yes | 130 | 106 (24) | 24 (14) | |
| No | 484 | 334 (76) | 150 (86) | |
| Referred | 0.008 | |||
| Yes | 129 | 104 (24) | 25 (14) | |
| No | 485 | 336 (76) | 149 (86) | |
| ED Disposition | 0.225 | |||
| OTf | 128 | 84 (19) | 44 (25) | |
| Ward | 382 | 281 (64) | 101 (58) | |
| ICUg | 104 | 75 (17) | 29 (17) | |
| Admitting department | ||||
| Trauma Surgery | 164 | 115 (26) | 49 (28) | 0.609 |
| Orthopedics | 235 | 174 (40) | 61 (35) | 0.303 |
| Neurosurgery | 158 | 119 (27) | 39 (22) | 0.237 |
| Plastic Surgery | 25 | 19 (4) | 6 (4) | 0.623 |
| Others (pediatric surgery, emergency medicine etc) | 32 | 13 (3) | 19 (11) | <0.001 |
| Hospital Disposition | 0.305 | |||
| Discharge | 577 | 415 (94) | 162 (93) | |
| Death | 32 | 23 (5) | 9 (5) | |
| LAMAh | 05 | 02 (1) | 3 (2) |
aISS: Injury Severity Score; bGCS: Glasgow Coma Scale; cRTI: Road Traffic Injury; dOT: Operation Theatre; eICU: Intensive Care Unit; fM2W: Motorized two-wheeler; gM3W: Motorized three-wheeler; hLAMA: Left Against Medical Advice
Comparison of quantitative variables between two time periods (Median, IQR).
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| Age | 34 (23) | 35 (24) | 0.58 |
| Heart Rate | 86 (16) | 88 (20) | 0.80 |
| Resp. Rate | 18 (2) | 18 (0) | 0.96 |
| SpO2 | 99 (2) | 99 (2) | 0.98 |
| ISS | 9 (7.5) | 9 (5) | 0.005 |
| Length of Hospital stay (days) | 6 (6) | 4 (6) | <0.001 |
aIQR: Interquartile Range
Fig. 4Algorithm showing the flow of trauma patients between facilities during the COVID-19 period