| Literature DB >> 34215903 |
Karolina Nyberger1,2, Eva-Corina Caragounis3, Pauline Djerf4, Carl-Magnus Wahlgren5,6.
Abstract
BACKGROUND: Gun violence is a global health problem. Population-based research on firearm-related injuries has been relatively limited considering the burden of disease. The aim of this study was to analyze nationwide epidemiological trends of firearm injuries.Entities:
Keywords: Epidemiology; Firearm injury; Gunshot wound
Mesh:
Year: 2021 PMID: 34215903 PMCID: PMC9192392 DOI: 10.1007/s00068-021-01735-8
Source DB: PubMed Journal: Eur J Trauma Emerg Surg ISSN: 1863-9933 Impact factor: 2.374
Patient demographics and clinical data with prehospital and emergency department parameters
| Demographics and clinical data | ||
|---|---|---|
| Age (years)* | 26 [22.0–36.3] | 1000 |
| Men | 976 (96.6%) | 1010 |
| Women | 34 (3.4%) | 1010 |
| Injury intent | ||
| Accident | 45 (4.5%) | 1010 |
| Self-harm | 88 (8.7%) | 1010 |
| Assault | 777 (76.9%) | 1010 |
| Other | 30 (3.0%) | 1010 |
| Unknown | 70 (6.9%) | 1010 |
| ISS | 9 [1–18] | 991 |
| NISS | 11 [3–26] | 991 |
| NISS ≤ 15 | 4 [2–9] | 603 |
| NISS 16–24 | 18 [17–22] | 114 |
| NISS ≥ 25 | 34 [27–57] | 274 |
| Prehospital SBP (mmHg) | 130 [110–144] | 562 |
| Prehospital GCS | 15 [15–15] | 660 |
| Prehospital RR/min | 20 [18–24] | 521 |
| ED SBP (mmHg) | 135 [119–150] | 821 |
| ED GCS | 15 [15–15] | 842 |
| ED RR/min | 19 [16–22] | 574 |
ISS Injury Severity Score, NISS New Injury Severity Score, ED emergency department, SBP systolic blood pressure, GCS Glasgow–Coma Scale, RR respiratory rate
*Median [IQR]
Fig. 1Annual number of firearm injuries nationwide with the distribution in the three most populated regions in relation to other regions
Confirmed illegal shootings on a national level in relation to hospital trauma admissions and mortality, including patient fatalities not reaching hospitals
| Year | Confirmed illegal shootings* | Trauma admissions | Total mortality illegal shootings** | In-hospital mortality |
|---|---|---|---|---|
| 2011 | NA | 33 | 17 | 3 |
| 2012 | NA | 42 | 17 | 5 |
| 2013 | NA | 94 | 25 | 13 |
| 2014 | NA | 96 | 28 | 16 |
| 2015 | NA | 125 | 33 | 20 |
| 2016 | NA | 147 | 30 | 21 |
| 2017 | 324 | 164 | 40 | 25 |
| 2018 | 306 | 165 | 43 | 31 |
| 2019 | 334 | 144 | 45 | 29 |
NA data not available
*Data from the Swedish Police Authority; registration from 2017
**Data from the Swedish National Council for Crime Prevention
***Data from the Swedish National Quality Registry for Trauma (SweTrau)
The annual distribution of injuries in anatomical zones
| Head | Face | Neck | Thorax | Abdomen | Spine | Upper extremity | Lower extremity | Unspecified | |
|---|---|---|---|---|---|---|---|---|---|
| 2011 | 5 | 3 | 3 | 9 | 13 | 7 | 8 | 17 | 4 |
| 2012 | 11 | 3 | 1 | 8 | 9 | 1 | 9 | 21 | 5 |
| 2013 | 25 | 11 | 1 | 15 | 21 | 9 | 23 | 60 | 12 |
| 2014 | 17 | 7 | 12 | 25 | 28 | 7 | 26 | 49 | 9 |
| 2015 | 32 | 17 | 7 | 31 | 38 | 14 | 41 | 67 | 10 |
| 2016 | 29 | 18 | 7 | 37 | 38 | 14 | 42 | 91 | 10 |
| 2017 | 41 | 17 | 13 | 43 | 53 | 21 | 41 | 96 | 13 |
| 2018 | 36 | 20 | 9 | 39 | 37 | 25 | 46 | 98 | 14 |
| 2019 | 23 | 15 | 5 | 39 | 35 | 13 | 37 | 86 | 21 |
| Total ( | 219 | 111 | 58 | 246 | 272 | 111 | 273 | 585 | 98 |
Types of surgical procedures performed due to firearm injuries
| Type of surgical procedure | Number of patients ( |
|---|---|
| Wound suture/revision | 413 |
| Fracture surgery | 177 |
| Removal foreign body | 178 |
| Laparotomy | 146 |
| Chest tube | 118 |
| Thoracotomy | 80 |
| Open vascular | 55 |
| Fasciotomy | 45 |
| Endovascular | 15 |
| Craniotomy | 17 |
| Neck exploration | 5 |
| No surgical procedure | 129 |
Fig. 2Kaplan–Meier long-term survival curve after hospital admission from firearm injury
Risk factors associated with mortality at 24-h and 30-day post-trauma admission
| Odds ratio [95% confidence interval] | |||||
|---|---|---|---|---|---|
| 24 h | 30-day | 24 h | 30-day | ||
| Univariate logistic regression | Multivariable logistic regression | ||||
| Age | 1.01 [1.00–1.02] | 1.02 [1.01–1.03] | 1.02 [1.00–1.04] | 1.03 [1.01–1.05] | |
| Female gender | 1.20 [0.49–2.94] | 1.28 [0.55–3.00] | 1.16 [0.48–2.80] | 1.01 [0.42–2.44] | |
| ED SBP < 90 mmHg | 28.27 [15.49–51.58] | 31.60 [17.30–57.70] | 30.29 [16.12–56.92] | 37.67 [19.42–73.09] | |
| NISS | |||||
| 16–24 | 2.01 [0.82–4.90] | 2.11 [0.91–4.90] | |||
| ≥ 25 | 21.57 [12.87–36.16] | 23.48 [14.29–38.60] | |||
| Body region with AIS ≥ 3 | |||||
| Head | 7.17 [5.11–10.06] | 9.20 [6.42–13.17] | 11.79 [7.52–18.47] | 12.34 [7.98–19.08] | |
| Face | 0.81 [0.18–3.58] | 3.51 [1.23–10.02] | 2.06 [0.44–9.61] | 5.00 [1.47–16.98] | |
| Neck | 7.71 [3.34–17.79] | 10.10 [4.16–24.47] | 5.17 [0.60–44.19] | 4.83 [0.51–45.64] | |
| Chest | 4.35 [3.30–5.72] | 4.63 [3.50–6.13] | 2.33 [1.33–4.09] | 2.92 [1.70–5.02] | |
| Abdomen | 2.12 [1.51–2.97] | 2.22 [1.59–3.09] | 1.54 [0.89–2.68] | 1.66 [0.98–2.82] | |
| Spine | 1.99 [0.94–4.22] | 2.03 [0.98–4.22] | 1.49 [0.47–4.68] | 1.82 [0.60–5.52] | |
| Upper extremity | 2.38 [1.26–4.51] | 2.10 [1.11–3.98] | 3.61 [1.28–10.16] | 3.34 [1.11–10.00] | |
| Lower extremity | 0.58 [0.40–0.86] | 0.57 [0.39–0.82] | 0.53 [0.29–0.99] | 0.52 [0.28–0.95] | |