To compare injury patterns of different types of explosions.

A retrospective study of 4508 patients hospitalized due to explosions recorded in the Israel National Trauma Registry between January 1997 and December 2018. The events were divided into 4 groups: terror-related, war-related, civilian intentional explosions, and civilian unintentional explosions. The groups were compared in terms of injuries sustained, utilization of hospital resources, and clinical outcomes.

Civilian intentional and terror-related explosions were found to be similar in most aspects except for factors directly influencing mortality and a larger volume of severely injured body regions among terror-victims. Comparisons between other groups produced some parallels, albeit less consistent. Civilian intentional explosions and civilian unintentional explosions were different from each other in most aspects. The latter group also differed from others by its high volume of life-threatening burns and a higher proportion of children casualties.

While consistent similarities between explosion casualties exist, especially between victims of intentional civilian and terror-related explosions, the general rule is that clinical experience with a type of explosion cannot be directly transferred to other types.

Injury patterns are closely related to changes in behavior. Pandemics and measures undertaken against them may cause changes in behavior; therefore, changes in injury patterns during the coronavirus disease 2019 (COVID-19) outbreak can be expected when compared to the parallel period in previous years.

The aim of this study was to compare injury-related hospitalization patterns during the overall national lockdown period with parallel periods of previous years.

A retrospective study was completed of all patients hospitalized from March 15 through April 30, for years 2016-2020. Data were obtained from 21 hospitals included in the national trauma registry during the study years. Clinical, demographic, and circumstantial parameters were compared amongst the years of the study.

The overall volume of injured patients significantly decreased during the lockdown period of the COVID-19 outbreak, with the greatest decrease registered for road traffic collisions (RTCs). Patients’ sex and ethnic compositions did not change, but a smaller proportion of children were hospitalized during the outbreak. Many more injuries were sustained at home during the outbreak, with proportions of injuries in all other localities significantly decreased. Injuries sustained during the COVID-19 outbreak were more severe, specifically due to an increase in severe injuries in RTCs and falls. The proportion of intensive care unit (ICU) hospitalizations did not change, however more surgeries were performed; patients stayed less days in hospital.

The lockdown period of the COVID-19 outbreak led to a significant decrease in number of patients hospitalized due to trauma as compared to parallel periods of previous years. Nevertheless, trauma remains a major health care concern even during periods of high-impact disease outbreaks, in particular due to increased proportion of severe injuries and surgeries.

With the increasing availability of vehicle telemetry technology, there is great potential for Advanced Automatic Collision Notification (AACN) systems to improve trauma outcomes by detecting patients at-risk for severe injury and facilitating early transport to trauma centers.

National Automotive Sampling System Crashworthiness Data System (NASS-CDS) data from 1999-2013 were used to construct a logistic regression model (injury severity prediction [ISP] model) predicting the probability that one or more occupants in planar, non-rollover motor vehicle collisions (MVCs) would have Injury Severity Score (ISS) 15+ injuries. Variables included principal direction of force (PDOF), change in velocity (Delta-V), multiple impacts, presence of any older occupant (≥55 years old), presence of any female occupant, presence of right-sided passenger, belt use, and vehicle type. The model was validated using medical records and 2008-2011 crash data from AACN-enabled Michigan (USA) vehicles identified from OnStar (OnStar Corporation; General Motors; Detroit, Michigan USA) records. To compare the ISP to previously established protocols, a literature search was performed to determine the sensitivity and specificity of first responder identification of ISS 15+ for MVC occupants.

The study population included 924 occupants in 836 crash events. The ISP model had a sensitivity of 72.7% (95% Confidence Interval [CI] 41%-91%) and specificity of 93% (95% CI 92%-95%) for identifying ISS 15+ occupants injured in planar MVCs. The current standard 2006 Field Triage Decision Scheme (FTDS) was 56%-66% sensitive and 75%-88% specific in identifying ISS 15+ patients.

The ISP algorithm comparably is more sensitive and more specific than current field triage in identifying MVC patients at-risk for ISS 15+ injuries. This real-world field study shows telemetry data transmitted before dispatch of emergency medical systems can be helpful to quickly identify patients who require urgent transfer to trauma centers.

We sought to evaluate the performance of the Prehospital Index (PHI), the high-velocity impact (HVI) criterion and emergency medical technician (EMT) judgment for the prehospital triage of injured patients.

The study population included all prehospital trauma patients transported by an emergency medical service to 2 level-I trauma centres for adults. All prehospital run sheets were linked to trauma registry data. The main outcome was severe trauma, defined as death within 72 hours, admission to the intensive care unit within 24 hours or an Injury Severity Score greater than 15. We assessed sensitivity, specificity and rates of overtriage.

Of 16 805 patients in the study population, 1113 (6.62%) had severe trauma. The combination of all 3 triage criteria (PHI score ≥ 4, HVI presence and EMT judgment) performed best for identifying patients with severe trauma, with a sensitivity of 74.2% but with an overtriage rate of 85.1%. Alone, EMT judgment had the highest sensitivity and a PHI score of 4 or greater had the lowest rate of overtriage.

Although the combination of PHI score, HVI presence and EMT judgment offers the highest sensitivity for the identification of patients that could benefit from direct transport to a level-I trauma centre, overall sensitivity remains low and overtriage is high. More research is required to improve prehospital triage.

This article characterizes the epidemiological outcomes, resource utilization, and time course of emergency needs in mass-casualty, terrorist bombings producing 30 or more casualties.

Eligible bombings were identified using a MEDLINE search of articles published between 1996 and October 2002 and a manual search of published references. Mortality, injury frequency, injury severity, emergency department (ED) utilization, hospital admission, and time interval data were abstracted and relevant rates were determined for each bombing. Median values for the rates and the inter-quartile ranges (IQR) were determined for bombing subgroups associated with: (1) vehicle delivery; (2) terrorist suicide; (3) confined-space setting; (4) open-air setting; (5) structural collapse sequela; and (6) structural fire sequela.

Inclusion criteria were met by 44 mass-casualty, terrorist bombings reported in 61 articles. Median values for the immediate mortality rates and IQRs were: vehicle-delivery, 4% (1–25%); terrorist-suicide, 19% (7–44%); confined-space 4% (1–11%); open-air, 1% (0–5%); structural-collapse, 18% (5–26%); structural fire 17% (1–17%); and overall, 3% (1–14%). A biphasic pattern of mortality and unique patterns of injury frequency were noted in all subgroups. Median values for the hospital admission rates and IQRs were: vehicle-delivery, 19% (14–50%); terrorist-suicide, 58% (38–77%); confined-space, 52% (36–71%); open-air, 13% (11–27%); structural-collapse, 41% (23–74%); structural-fire, 34% (25–44%); and overall, 34% (14–53%). The shortest reported time interval from detonation to the arrival of the first patient at an ED was five minutes. The shortest reported time interval from detonation to the arrival of the last patient at an ED was 15 minutes. The longest reported time interval from detonation to extrication of a live victim from a structural collapse was 36 hours.

Epidemiological outcomes and resource utilization in mass-casualty, terrorist bombings vary with the characteristics of the event.