Risk factors for SARS-CoV-2 seropositivity in a health care worker population during the early pandemic.

BACKGROUND: While others have reported severe acute respiratory syndrome-related coronavirus 2(SARS-CoV-2) seroprevalence studies in health care workers (HCWs), we leverage the use of a highly sensitive coronavirus antigen microarray to identify a group of seropositive health care workers who were missed by daily symptom screening that was instituted prior to any epidemiologically significant local outbreak. Given that most health care facilities rely on daily symptom screening as the primary method to identify SARS-CoV-2 among health care workers, here, we aim to determine how demographic, occupational, and clinical variables influence SARS-CoV-2 seropositivity among health care workers. METHODS: We designed a cross-sectional survey of HCWs for SARS-CoV-2 seropositivity conducted from May 15th to June 30th 2020 at a 418-bed academic hospital in Orange County, California. From an eligible population of 5,349 HCWs, study participants were recruited in two ways: an open cohort, and a targeted cohort. The open cohort was open to anyone, whereas the targeted cohort that recruited HCWs previously screened for COVID-19 or work in high-risk units. A total of 1,557 HCWs completed the survey and provided specimens, including 1,044 in the open cohort and 513 in the targeted cohort. Demographic, occupational, and clinical variables were surveyed electronically. SARS-CoV-2 seropositivity was assessed using a coronavirus antigen microarray (CoVAM), which measures antibodies against eleven viral antigens to identify prior infection with 98% specificity and 93% sensitivity. RESULTS: Among tested HCWs (n = 1,557), SARS-CoV-2 seropositivity was 10.8%, and risk factors included male gender (OR 1.48, 95% CI 1.05-2.06), exposure to COVID-19 outside of work (2.29, 1.14-4.29), working in food or environmental services (4.85, 1.51-14.85), and working in COVID-19 units (ICU: 2.28, 1.29-3.96; ward: 1.59, 1.01-2.48). Amongst 1,103 HCWs not previously screened, seropositivity was 8.0%, and additional risk factors included younger age (1.57, 1.00-2.45) and working in administration (2.69, 1.10-7.10). CONCLUSION: SARS-CoV-2 seropositivity is significantly higher than reported case counts even among HCWs who are meticulously screened. Seropositive HCWs missed by screening were more likely to be younger, work outside direct patient care, or have exposure outside of work.

Development and Validation of a Renal Replacement after Trauma Scoring Tool.

BACKGROUND: Stress on the healthcare system requires careful allocation of resources such as renal replacement therapy (RRT). The COVID-19 pandemic generated difficulty securing access to RRT for trauma patients. We sought to develop a renal replacement after trauma (RAT) scoring tool to help identify trauma patients who may require RRT during their hospitalization. STUDY DESIGN: The 2017 to 2020 TQIP database was divided into a derivation (2017 to 2018 data) and validation (2019 to 2020 data) set. A 3-step methodology was used. Adult trauma patients admitted from the emergency department to the operating room or ICU were included. Patients with chronic kidney disease, transfers from another hospital, and emergency department death were excluded. Multiple logistic regression models were created to determine the risk for RRT in trauma patients. The weighted average and relative impact of each independent predictor was used to derive a RAT score, which was validated using area under receiver operating characteristic curve (AUROC). RESULTS: From 398,873 patients in the derivation and 409,037 patients in the validation set, 11 independent predictors of RRT were included in the RAT score derived with scores ranging from 0 to 11. The AUROC for the derivation set was 0.85. The rate of RRT increased to 1.1%, 3.3%, and 20% at scores of 6, 8, and 10, respectively. The validation set AUROC was 0.83. CONCLUSIONS: RAT is a novel and validated scoring tool to help predict the need for RRT in trauma patients. With future improvements including baseline renal function and other variables, the RAT tool may help prepare for the allocation of RRT machines/staff during times of limited resources.

Firearm Violence Surrounding the COVID-19 Pandemic: A Reopening Phenomenon.

INTRODUCTION: Past research has demonstrated a "reopening phenomenon" of increased firearm violence associated with the initial lifting of coronavirus disease 2019 (COVID-19) pandemic-related restrictions after the first wave. Now, with widespread societal reemergence from stay-at-home measures, we hypothesize another spike in firearm violence in the United States (US). Thus, the purpose of this study was to evaluate the trends in firearm violence before and after extensive community reopenings during the COVID-19 pandemic. METHODS: The Gun Violence Archive was utilized to collect data on daily firearm violence incidents, injuries, and deaths as well as on types of firearm violence. Mann-Whitney U-tests were performed for trends and types of firearm violence "before" (12/14/20-4/9/21) versus "after" (4/10/21-7/31/21) widespread societal reopening in the US. Additional analyses also sought to compare the after reopening time-period to historical data (2017-2020) of similar calendar dates, to better control for possible annual/seasonal variation. RESULTS: Median daily firearm violence incidents (153 versus 176, P < 0.001), injuries (89 versus 121, P < 0.001) and deaths (54 versus 58, P < 0.001) increased from before versus after reopening. Compared to all historical years, in the after reopening time-period there were consistent increases in total as well as mass shooting incidents/injuries/deaths (all P < 0.05). CONCLUSIONS: Firearm violence incidents, injuries, and deaths increased after societal reemergence from the COVID-19 pandemic. In addition, there has been an increase in mass shootings despite a relative lull initially brought on by the pandemic. This suggests the "reopening phenomenon" has worsened an already substantial national firearm epidemic.

Adolescent Trauma During the COVID Pandemic: Just Like Adults, Children, or Someone Else?

COVID-19 stay-at-home (SAH) orders were impactful on adolescence, when social interactions affect development. This has the potential to change adolescent trauma. A post-hoc multicenter retrospective analysis of adolescent (13-17 years-old) trauma patients (ATPs) at 11 trauma centers was performed. Patients were divided into 3 groups based on injury date: historical control (CONTROL:3/19/2019-6/30/2019, before SAH (PRE:1/1/2020-3/18/2020), and after SAH (POST:3/19/2020-6/30/2020). The POST group was compared to both PRE and CONTROL groups in separate analyses. 726 ATPs were identified across the 3 time periods. POST had a similar penetrating trauma rate compared to both PRE (15.8% vs 13.8%, P = .56) and CONTROL (15.8% vs 14.5%, P = .69). POST also had a similar rate of suicide attempts compared to both PRE (1.2% vs 1.5%, P = .83) and CONTROL (1.2% vs 2.1%, P = .43). However, POST had a higher rate of drug positivity compared to CONTROL (28.6% vs 20.6%, P = .032), but was similar in all other comparisons of alcohol and drugs to PRE and POST periods (all P > .05). Hence ATPs were affected differently than adults and children, as they had a similar rate of penetrating trauma, suicide attempts, and alcohol positivity after SAH orders. However, they had increased drug positivity compared to the CONTROL, but not PRE group.

Decreased hospital length of stay and intensive care unit admissions for non-COVID blunt trauma patients during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic overwhelmed hospitals, forcing adjustments including discharging patients earlier and limiting intensive care unit (ICU) utilization. This study aimed to evaluate ICU admissions and length of stay (LOS) for blunt trauma patients (BTPs). METHODS: A retrospective review of COVID (3/19/20-6/30/20) versus pre-COVID (3/19/19-6/30/19) BTPs at eleven trauma centers was performed. Multivariable analysis was used to identify risk factors for ICU admission. RESULTS: 12,744 BTPs were included (6942 pre-COVID vs. 5802 COVID). The COVID cohort had decreased mean LOS (3.9 vs. 4.4 days, p = 0.029), ICU LOS (0.9 vs. 1.1 days, p < 0.001), and rate of ICU admission (22.3% vs. 24.9%, p = 0.001) with no increase in complications or mortality compared to the pre-COVID cohort (all p > 0.05). On multivariable analysis, the COVID period was associated with decreased risk of ICU admission (OR = 0.82, CI 0.75-0.90, p < 0.001). CONCLUSIONS: BTPs had decreased LOS and associated risk of ICU admission during COVID, with no corresponding increase in complications or mortality.

Firearm violence against children in the United States: Trends in the wake of the COVID-19 pandemic.

BACKGROUND: This study aimed to evaluate the patterns of firearm violence against children before and after the COVID-19 pandemic, as well as the patterns of specific types of firearm violence against children over time (2016-2020). METHODS: Retrospective firearm violence data were obtained from the Gun Violence Archive. The rate of firearm violence was weighted per 100,000 children. A scatterplot was created to depict the rate of total annual child-involved shooting incidents over time; with a linear trendline fit to 2016 to 2019 data to show projected versus actual 2020 firearm violence. All 50 states were categorized into either "strong gun law" (n = 25) or "weak gun law" (n = 25) cohorts. Multivariate linear regressions were performed for number of child-involved shootings over time. RESULTS: There were a total of 1,076 child-involved shootings in 2020, 811 in 2019, and 803 in 2018. The median total child-involved shooting incidents per month per 100,000 children increased from 2018 to 2020 (0.095 vs. 0.124, p = 0.003) and from 2019 to 2020 (0.097 vs. 0.124, p = 0.010). Child killed by adult incidents also increased in 2020 compared with 2018 (p = 0.024) and 2019 (p = 0.049). The scatterplot demonstrates that total child-involved shootings in addition to both fatal and nonfatal firearm violence incidents exceeded the projected number of incidents extrapolated from 2016 to 2019 data. Multivariate linear regression demonstrated that, compared with weak gun law states, strong gun law states were associated with decreased monthly total child-involved shooting incidents between 2018 and 2020 (p < 0.001), as well as between 2019 and 2020 (p < 0.001). CONCLUSION: Child-involved shooting incidents increased significantly in 2020 surrounding the COVID-19 pandemic. Given that gun law strength was associated with a decreased rate of monthly child-involved firearm violence, public health and legislative efforts should be made to protect this vulnerable population from exposure to firearms. LEVEL OF EVIDENCE: Epidemiological, level III.

Effects of the COVID-19 pandemic on pediatric trauma in Southern California.

PURPOSE: The COVID-19 pandemic resulted in increased penetrating trauma and decreased length of stay (LOS) amongst the adult trauma population, findings important for resource allocation. Studies regarding the pediatric trauma population are sparse and mostly single-center. This multicenter study examined pediatric trauma patients, hypothesizing increased penetrating trauma and decreased LOS after the 3/19/2020 stay-at-home (SAH) orders. METHODS: A multicenter retrospective analysis of trauma patients ≤ 17 years old presenting to 11 centers in California was performed. Demographic data, injury characteristics, and outcomes were collected. Patients were divided into three groups based on injury date: 3/19/2019-6/30/2019 (CONTROL), 1/1/2020-3/18/2020 (PRE), 3/19/2020-6/30/2020 (POST). POST was compared to PRE and CONTROL in separate analyses. RESULTS: 1677 patients were identified across all time periods (CONTROL: 631, PRE: 479, POST: 567). POST penetrating trauma rates were not significantly different compared to both PRE (11.3 vs. 9.0%, p = 0.219) and CONTROL (11.3 vs. 8.2%, p = 0.075), respectively. POST had a shorter mean LOS compared to PRE (2.4 vs. 3.3 days, p = 0.002) and CONTROL (2.4 vs. 3.4 days, p = 0.002). POST was also not significantly different than either group regarding intensive care unit (ICU) LOS, ventilator days, and mortality (all p > 0.05). CONCLUSIONS: This multicenter retrospective study demonstrated no difference in penetrating trauma rates among pediatric patients after SAH orders but did identify a shorter LOS.

New York State and the Nation: Trends in Firearm Purchases and Firearm Violence During the COVID-19 Pandemic.

BACKGROUND: The impacts of social stressors on violence during the coronavirus disease 2019 (COVID-19) pandemic are unknown. We hypothesized that firearm purchases and violence would increase surrounding the pandemic. This study determined the impact of COVID-19 and shelter-in-place (SIP) orders on firearm purchases and incidents in the United States (US) and New York State (NYS). METHODS: Scatterplots reflected trends in firearm purchases, incidents, and deaths over a 16-month period (January 2019 to April 2020). Bivariate comparisons of SIP and non-SIP jurisdictions before and after SIP (February 2020 vs. April 2020) and April 2020 vs. April 2019 were performed with the Mann-Whitney U test. RESULTS: The incidence of COVID-19 in the US increased between February and April 2020 from 24 to 1 067 660 and in NYS from 0 to 304 372. When comparing February to March to April in the US, firearm purchases increased 33.6% then decreased 22.0%, whereas firearm incidents increased 12.2% then again increased by 3.6% and firearm deaths increased 23.8% then decreased in April by 3.8%. In NYS, comparing February to March to April 2020, firearm purchases increased 87.6% then decreased 54.8%, firearm incidents increased 110.1% then decreased 30.8%, and firearm deaths increased 57.1% then again increased by 6.1%. In both SIP and non-SIP jurisdictions, April 2020 firearm purchases, incidents, deaths, and injuries were similar to April 2019 and February 2020 (all P = NS). DISCUSSION: Coronavirus disease 2019-related stressors may have triggered an increase in firearm purchases nationally and within NYS in March 2020. Firearm incidents also increased in NYS. SIP orders had no effect on firearm purchases and firearm violence.

Drug and alcohol positivity of traumatically injured patients related to COVID-19 stay-at-home orders.

Background: COVID-19 related stay-at-home (SAH) orders created many economic and social stressors, possibly increasing the risk of drug/alcohol abuse in the community and trauma population.Objectives: Describe changes in alcohol/drug use in traumatically injured patients after SAH orders in California and evaluate demographic or injury pattern changes in alcohol or drug-positive patients.Methods: A retrospective analysis of 11 trauma centers in Southern California (1/1/2020-6/30/2020) was performed. Blood alcohol concentration, urine toxicology results, demographics, and injury characteristics were collected. Patients were grouped based on injury date - before SAH (PRE-SAH), immediately after SAH (POST-SAH), and a historical comparison (3/19/2019-6/30/2019) (CONTROL) - and compared in separate analyses. Groups were compared using chi-square tests for categorical variables and Mann-Whitney U tests for continuous variables.Results: 20,448 trauma patients (13,634 male, 6,814 female) were identified across three time-periods. The POST-SAH group had higher rates of any drug (26.2% vs. 21.6% and 24.7%, OR = 1.26 and 1.08, p < .001 and p = .035), amphetamine (10.4% vs. 7.5% and 9.3%, OR = 1.43 and 1.14, p < .001 and p = .023), tetrahydrocannabinol (THC) (13.8% vs. 11.0% and 11.4%, OR = 1.30 and 1.25, p < .001 and p < .001), and 3,4-methylenedioxy methamphetamine (MDMA) (0.8% vs. 0.4% and 0.2%, OR = 2.02 and 4.97, p = .003 and p < .001) positivity compared to PRE-SAH and CONTROL groups. Alcohol concentration and positivity were similar between groups (p > .05).Conclusion: This Southern California multicenter study demonstrated increased amphetamine, MDMA, and THC positivity in trauma patients after SAH, but no difference in alcohol positivity or blood concentration. Drug prevention strategies should continue to be adapted within and outside of hospitals during a pandemic.

COVID-19 in trauma: a propensity-matched analysis of COVID and non-COVID trauma patients.

PURPOSE: There is mounting evidence that surgical patients with COVID-19 have higher morbidity and mortality than patients without COVID-19. Infection is prevalent amongst the trauma population, but any effect of COVID-19 on trauma patients is unknown. We aimed to evaluate the effect of COVID-19 on a trauma population, hypothesizing increased mortality and pulmonary complications for COVID-19-positive (COVID) trauma patients compared to propensity-matched COVID-19-negative (non-COVID) patients. METHODS: A retrospective analysis of trauma patients presenting to 11 Level-I and II trauma centers in California between 1/1/2019-6/30/2019 and 1/1/2020-6/30/2020 was performed. A 1:2 propensity score model was used to match COVID to non-COVID trauma patients using age, blunt/penetrating mechanism, injury severity score, Glasgow Coma Scale score, systolic blood pressure, respiratory rate, and heart rate. Outcomes were compared between the two groups. RESULTS: A total of 20,448 trauma patients were identified during the study period. 53 COVID trauma patients were matched with 106 non-COVID trauma patients. COVID patients had higher rates of mortality (9.4% vs 1.9%, p = 0.029) and pneumonia (7.5% vs. 0.0%, p = 0.011), as well as a longer mean length of stay (LOS) (7.47 vs 3.28 days, p < 0.001) and intensive care unit LOS (1.40 vs 0.80 days, p = 0.008), compared to non-COVID patients. CONCLUSION: This multicenter retrospective study found increased rates of mortality and pneumonia, as well as a longer LOS, for COVID trauma patients compared to a propensity-matched cohort of non-COVID patients. Further studies are warranted to validate these findings and to elucidate the underlying pathways responsible for higher mortality in COVID trauma patients.

The coronavirus disease 2019 (COVID-19) stay-at-home order's unequal effects on trauma volume by insurance status in Southern California.

BACKGROUND: The rapid spread of coronavirus disease 2019 in the United States led to a variety of mandates intended to decrease population movement and "flatten the curve." However, there is evidence some are not able to stay-at-home due to certain disadvantages, thus remaining exposed to both coronavirus disease 2019 and trauma. We therefore sought to identify any unequal effects of the California stay-at-home orders between races and insurance statuses in a multicenter study utilizing trauma volume data. METHODS: A posthoc multicenter retrospective analysis of trauma patients presenting to 11 centers in Southern California between the dates of January 1, 2020, and June 30, 2020, and January 1, 2019, and June 30, 2019, was performed. The number of trauma patients of each race/insurance status was tabulated per day. We then calculated the changes in trauma volume related to stay-at-home orders for each race/insurance status and compared the magnitude of these changes using statistical resampling. RESULTS: Compared to baseline, there was a 40.1% drop in total trauma volume, which occurred 20 days after stay-at-home orders. During stay-at-home orders, the average daily trauma volume of patients with Medicaid increased by 13.7 ± 5.3%, whereas the volume of those with Medicare, private insurance, and no insurance decreased. The average daily trauma volume decreased for White, Black, Asian, and Latino patients with the volume of Black and Latino patients dropping to a similar degree compared to White patients. CONCLUSION: This retrospective multicenter study demonstrated that patients with Medicaid had a paradoxical increase in trauma volume during stay-at-home orders, suggesting that the most impoverished groups remain disproportionately exposed to trauma during a pandemic, further exacerbating existing health disparities.

Changes in traumatic mechanisms of injury in Southern California related to COVID-19: Penetrating trauma as a second pandemic.

BACKGROUND: The COVID-19 pandemic resulted in a statewide stay-at-home (SAH) order in California beginning March 19, 2020, forcing large-scale behavioral changes and taking an emotional and economic toll. The effects of SAH orders on the trauma population remain unknown. We hypothesized an increase in rates of penetrating trauma, gunshot wounds, suicide attempts, and domestic violence in the Southern California trauma population after the SAH order. METHODS: A multicenter retrospective analysis of all trauma patients presenting to 11 American College of Surgeons levels I and II trauma centers spanning seven counties in California was performed. Demographic data, injury characteristics, clinical data, and outcomes were collected. Patients were divided into three groups based on injury date: before SAH from January 1, 2020, to March 18, 2020 (PRE), after SAH from March 19, 2020, to June 30, 2020 (POST), and a historical control from March 19, 2019, to June 30, 2019 (CONTROL). POST was compared with both PRE and CONTROL in two separate analyses. RESULTS: Across all periods, 20,448 trauma patients were identified (CONTROL, 7,707; PRE, 6,022; POST, 6,719). POST had a significantly increased rate of penetrating trauma (13.0% vs. 10.3%, p < 0.001 and 13.0% vs. 9.9%, p < 0.001) and gunshot wounds (4.5% vs. 2.4%, p = 0.002 and 4.5% vs. 3.7%, p = 0.025) compared with PRE and CONTROL, respectively. POST had a suicide attempt rate of 1.9% and a domestic violence rate of 0.7%, which were similar to PRE (p = 0.478, p = 0.514) and CONTROL (p = 0.160, p = 0.618). CONCLUSION: This multicenter Southern California study demonstrated an increased rate of penetrating trauma and gunshot wounds after the COVID-19 SAH orders but no difference in attempted suicide or domestic violence rates. These findings may provide useful information regarding resource utilization and a target for societal intervention during the current or future pandemic(s). LEVEL OF EVIDENCE: Epidemiological, level IV.

A Dual Pandemic: The Influence of Coronavirus Disease 2019 on Trends and Types of Firearm Violence in California, Ohio, and the United States.

BACKGROUND: This study sought to determine the impact of coronavirus disease 2019 stay-at-home (SAH) and reopening orders on trends and types of firearm violence in California, Ohio, and the United States, hypothesizing increased firearm violence after SAH. MATERIALS AND METHODS: Retrospective data (January 1, 2018, to July 31, 2020) on firearm incidents/injuries/deaths and types of firearm violence were obtained from the Gun Violence Archive. The periods for SAH and reopening for the US were based on dates for California. Ohio dates were based on Ohio's timeline. Mann-Whitney U analyses compared trends and types of daily firearm violence per 100,000 legal firearm owners across 2018-2020 periods. RESULTS: In California, SAH and reopening orders had no effect on firearm violence in 2020 compared with 2018 and 2019 periods, respectively. In Ohio, daily median firearm deaths increased during 2020 SAH compared with 2018 and 2019 and firearm incidents and injuries increased during 2020 reopening compared with 2018, 2019 and 2020 SAH. In the United States, during 2020, SAH firearm deaths increased compared with historical controls and firearm incidents, deaths and injuries increased during 2020 reopening compared with 2018, 2019 and 2020 SAH (all P < 0.05). Nationally, when compared with 2018 and 2019, 2020 SAH had increased accidental shootings deaths with a decrease in defensive use, home invasion, and drug-involved incidents. CONCLUSIONS: During 2020 SAH, the rates of firearm violence increased in Ohio and the United States but remained unchanged in California. Nationally, firearm incidents, deaths and injuries also increased during 2020 reopening versus historical and 2020 SAH data. This suggests a secondary "pandemic" as well as a "reopening phenomenon," with increased firearm violence not resulting from self-defense.