| Literature DB >> 35501165 |
Amelia T Collings1, Manzur Farazi2, Kyle J Van Arendonk2, Mary E Fallat3, Peter C Minneci4, Thomas T Sato2, K Elizabeth Speck5, Katherine J Deans4, Richard A Falcone6, David S Foley3, Jason D Fraser7, Samir K Gadepalli5, Martin S Keller8, Meera Kotagal6, Matthew P Landman9, Charles M Leys10, Troy A Markel9, Nathan Rubalcava5, Shawn D St Peter7, Katherine T Flynn-O'Brien2.
Abstract
BACKGROUND: Firearm sales in the United States (U.S.) markedly increased during the COVID-19 pandemic. Our objective was to determine if firearm injuries in children were associated with stay-at-home orders (SHO) during the COVID-19 pandemic. We hypothesized there would be an increase in pediatric firearm injuries during SHO.Entities:
Keywords: 2020; COVID-19; Firearm violence; Gun violence; Pandemic; Pediatric trauma
Mesh:
Year: 2022 PMID: 35501165 PMCID: PMC9001175 DOI: 10.1016/j.jpedsurg.2022.03.034
Source DB: PubMed Journal: J Pediatr Surg ISSN: 0022-3468 Impact factor: 2.549
Fig. 1(a) Frequency of firearm injuries by month across all sites with a LOESS smoothing line; (b) Cumulative firearm injuries by month across all sites.
Demographic and injury characteristics; Number (%).
| Historical average 2016–2019 | COVID 2020 | |||
|---|---|---|---|---|
| 82 (76.6) | 164 (76.3) | 0.696 | ||
| 0.948 | ||||
| <1 | 2 (1.9) | 3 (1.4) | ||
| 1–4 | 12 (11.1) | 26 (12.1) | ||
| 5–9 | 13 (12.0) | 20 (9.3) | ||
| 10–14 | 31 (28.7) | 64 (29.8) | ||
| 15–17 | 50 (46.3) | 102 (47.4) | ||
| 12.3 (4.8) | 12.5 (4.8) | 0.55 | ||
| 0.464 | ||||
| White | 23 (21.3) | 39 (18.1) | ||
| African American | 76 (70.4) | 149 (69.3) | ||
| Other | 9 (8.3) | 27 (12.6) | ||
| Hispanic | 4 (3.7) | 17 (7.9) | ||
| Non-Hispanic | 79 (73.8) | 187 (87.0) | ||
| Unknown | 24 (22.4) | 11 (5.1) | ||
| 1.0 | ||||
| Rural | 6 (5.6) | 11 (5.1) | ||
| Urban | 101 (94.4) | 203 (94.9) | ||
| 0.277 | ||||
| 1st Quartile, least vulnerable | 8 (7.5) | 7 (3.3) | ||
| 2nd Quartile | 19 (17.8) | 48 (22.3) | ||
| 3rd Quartile | 38 (35.5) | 69 (32.1) | ||
| 4th Quartile, most vulnerable | 42 (39.3) | 91 (42.3) | ||
| 0.64 (0.21) | 0.66 (0.20) | 0.3 | ||
| 0.201 | ||||
| 1st Quintile | 53 (49.1) | 105 (48.8) | ||
| 2nd Quintile | 23 (21.3) | 49 (22.8) | ||
| 3rd Quintile | 14 (13.0) | 28 (13.0) | ||
| 4th Quintile | 9 (8.3) | 27 (12.6) | ||
| 5th Quintile | 9 (8.3) | 6 (2.8) | ||
| 0.289 | ||||
| No Insurance | 9 (8.4) | 22 (10.2) | ||
| Private | 19 (17.8) | 26 (12.1) | ||
| Public | 77 (72.0) | 156 (72.6) | ||
| Unknown/Missing | 2 (1.9) | 11 (5.1) | ||
| 0.779 | ||||
| 0–15 | 44 (41.5) | 97 (45.1) | ||
| 16–24 | 14 (13.2) | 24 (11.2) | ||
| 25+ | 48 (45.3) | 94 (43.7) | ||
| 0.299 | ||||
| Unintentional | 29 (26.9) | 52 (24.2) | ||
| Assault | 64 (59.3) | 136 (63.3) | ||
| Suicide | 5 (4.6) | 3 (1.4) | ||
| Other | 10 (9.3) | 24 (11.2) | ||
| 0.93 | ||||
| 31 (40.8) | 60 (40.5) | |||
| 44 (57.9) | 85 (57.4) | |||
Includes 7 of the 9 sites.
Outcomes after firearm injury; Number (%).
| Historical average 2016–2019 | COVID 2020 | ||
|---|---|---|---|
| 9 | 15 | 0.999 | |
| Death in ED | 4 (44.4%) | 8 (53.3) | |
| Inpatient death | 5 (55.6) | 7 (46.7) | |
| 0.731 | |||
| Floor/Observation | 45 (41.7) | 90 (41.9) | |
| ICU | 17 (15.7) | 24 (11.2) | |
| Operating Room | 26 (24.1) | 46 (21.4) | |
| Transfer Out | 2 (1.9) | 7 (3.3) | |
| Morgue | 4 (3.7) | 8 (3.7) | |
| Home | 10 (9.3) | 32 (14.9) | |
| Unknown | 4 (3.7) | 8 (3.7) | |
| 0.457 | |||
| Morgue | 5 (5.4) | 7 (4.3) | |
| Home & Home Services | 72 (77.4) | 133 (81.1) | |
| Other Facility | 9 (9.7) | 14 (8.5) | |
| Jail or Against Medical Advice | 3 (3.2) | 2 (1.2) | |
| Unknown | 4 (4.3) | 8 (6.9) | |
| 2.5 | 4 | 0.64 | |
| 3 [2–6.5] | 3 | 0.95 | |
| 2 | 2 | 0.98 |
Of patients that had vent or ICU LOS ≥1day.
Univariate regression for the association with firearm injuries compared to any other type of injury.
| Variable | Odds Ratio | 95% CI | |
|---|---|---|---|
| < 1 | |||
| 1–4 | |||
| 5–9 | Ref | – | – |
| 10–14 | |||
| 15–17 | |||
| Caucasian | Ref | – | – |
| African American | |||
| Minority, other | |||
| Other | |||
| 1st, most resourced | Ref | – | – |
| 2nd | |||
| 3rd | |||
| 4th least resourced |
Multivariate regression with aggregate population measuring the association of the COVID pandemic (2020) and firearm injury, accounting for demographic factors.
| Variable | Odds Ratio | 95% CI | |
|---|---|---|---|
| Historical Control | – | – | |
| COVID Cohort | 1.78 | 1.45–2.12 | |
| < 1 | 0.37 | 0.18- 0.69 | |
| 1–4 | 1.31 | 0.94–1.82 | 0.108 |
| 5–9 | Ref | – | – |
| 10–14 | 2.89 | 2.20–3.85 | |
| 15–17 | 8.41 | 6.47–11.06 | |
| 1.65 | 1.37–2.01 | ||
| Caucasian | – | – | |
| African American | 10.65 | 8.61–13.25 | |
| Minority, other | 4.24 | 2.83–6.18 | |
| Other | 3.39 | 2.23–5.17 | |
| 1st, most resourced | – | – | |
| 2nd | 1.57 | 1.10–2.29 | |
| 3rd | 2.30 | 1.64–3.3 | |
| 4th least resourced | 3.63 | 2.56–5.27 |
Fig. 2Interrupted time series with the interruption point representing the declaration of state of emergency in the U.S. (March 13, 2020).