Study objective-The first hour after the onset of out-of-hospital traumatic injury is referred to as the "golden hour," yet the relationship between time and outcome remains unclear. We evaluate the association between emergency medical services (EMS) intervals and mortality among trauma patients with field-based physiologic abnormality.Methods-This was a secondary analysis of an out-of-hospital, prospective cohort registry of adult (aged ≥15 years) trauma patients transported by 146 EMS agencies to 51 Level I and II trauma hospitals in 10 sites across North America from December 1, 2005, through March 31, 2007. Inclusion criteria were systolic blood pressure less than or equal to 90 mm Hg, respiratory rate less than 10 or greater than 29 breaths/min, Glasgow Coma Scale score less than or equal to 12, or advanced airway intervention. The outcome was inhospital mortality. We evaluated EMS intervals (activation, response, on-scene, transport, and total time) with logistic regression and 2-step instrumental variable models, adjusted for field-based confounders.Results-There were 3,656 trauma patients available for analysis, of whom 806 (22.0%) died. In multivariable analyses, there was no significant association between time and mortality for any EMS interval: activation (odds ratio [OR] 1.00; 95% confidence interval [CI] 0.95 to 1.05), response (OR 1.00; 95% CI 9.97 to 1.04), on-scene (OR 1.00; 95% CI 0.99 to 1.01), transport (OR 1.00; 95% CI 0.98 to 1.01), or total EMS time (OR 1.00; 95% CI 0.99 to 1.01). Subgroup and instrumental variable analyses did not qualitatively change these findings. Conclusion-In this NorthAmerican sample, there was no association between EMS intervals and mortality among injured patients with physiologic abnormality in the field.
Objective-To describe the development, design and consequent scientific implications of the Resuscitation Outcomes Consortium (ROC) population-based registry; ROC Epistry-Cardiac Arrest. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Nonauthor contributions outlined in Online Appendix 1 Methods-The ROC Epistry-Cardiac Arrest is designed as a prospective population-based registry of all Emergency Medical Services (EMS)-attended 9-1-1 calls for patients with out-ofhospital cardiac arrest occurring in the geographical area described by the eight US and three Canadian regions. The data set was derived by an North American interdisciplinary steering committee. Enrolled cases include individuals of all ages who experience cardiac arrest outside the hospital, with evaluation by organized EMS personnel and: a) attempts at external defibrillation (by lay responders or emergency personnel), or chest compressions by organized EMS personnel; OR b) were pulseless but did not receive attempts to defibrillate or CPR by EMS personnel. Selected data items are categorized as mandatory or optional and undergo revisions approximately every 12 months. Where possible all definitions are referenced to existing literature. Where a common definition did not exist one was developed. Optional items include standardized CPR process data elements. It is anticipated the ROC Epistry-Cardiac Arrest will enroll between approximately 9000 and 13,500 treated all rhythm arrests and 4000 and 5000 ventricular fibrillation arrests annually and approximately 8000 EMS-attended but untreated arrests. Conflict of interest: None NIH Public AccessConclusion-We describe the rationale, development, design and future implications of the ROC Epistry-Cardiac Arrest. This paper will serve as the reference for subsequent ROC manuscripts and for the common data elements captured in both ROC Epistry-Cardiac Arrest and the ROC trials.
In part 1 of this series, the authors describe the importance of incomplete data in clinical research, and provide a conceptual framework for handling incomplete data by describing typical mechanisms and patterns of censoring, and detailing a variety of relatively simple methods and their limitations. In part 2, the authors will explore multiple imputation (MI), a more sophisticated and valid method for handling incomplete data in clinical research. This article will provide a detailed conceptual framework for MI, comparative examples of MI versus naive methods for handling incomplete data (and how different methods may impact subsequent study results), plus a practical user's guide to implementing MI, including sample statistical software MI code and a deidentified precoded database for use with the sample code.ACADEMIC EMERGENCY MEDICINE 2007; 14:669-678 ª
RAUMATIC BRAIN INJURY (TBI) IS the leading cause of death following blunt trauma, and survivors often sustain severe disability. TBI is responsible for the greatest number of potential years of life lost from any cause and carries the highest burden on loss of quality-adjusted life-years among survivors. 1 The primary injury to the brain occurs at the time of impact; however, subsequent compromise of cerebral perfusion can lead to an ischemic insult that extends the primary injury, creating a secondary brain injury. 2 Current therapy following severe TBI is focused on minimizing secondary injury by supporting systemic perfusion and reducing intracranial pressure Author Affiliations are listed at the end of this article.
In highly developed countries, hospital capacity strain is associated with increased mortality and worsened health outcomes. Evidence-based solutions to improve outcomes during times of capacity strain are needed.
Background Our objective was to quantify trends in emergency medical services (EMS) incidents as the effects of the COVID‐19 pandemic spread across the United States and to determine if there was an increase in EMS‐attended deaths. Methods We conducted a 3‐year comparative retrospective cohort analysis of data from the National EMS Information System. Data were included if care was provided between the 40th and 21st weeks of the next year and compared over 3 years. We included incidents identified through 9‐1‐1 where patient contact was made. The total number of EMS incidents per week was used as the denominator to calculate the rate of patient deaths and possible injury. We assessed for temporal and seasonal trends. Results Starting in the 10th week of 2020 there was a decrease in the number of EMS activations in the United States compared to the prior weeks and the same time period in previous years. The number of activations between week 10 and week 16 decreased by 140,292 or 26.1%. The portion of EMS activations reporting a patient disposition of death nearly doubled between the 11th and 15th weeks of 2020 (1.49%–2.77% of all activations). The number of EMS activations documenting a possible injury decreased from 18.43% to 15.27% between weeks 10 and 13. Conclusion We found that early in the COVID‐19 outbreak there was a significant decrease in the number of EMS responses across the United States. Simultaneously the rate of EMS‐attended death doubled, while the rate of injuries decreased.
Regionalized trauma care has been widely implemented in the United States, with field triage by emergency medical services (EMS) playing an important role in identifying seriously injured patients for transport to major trauma centers. In this study we estimated hospital-level differences in the adjusted cost of acute care for injured patients transported by 94 EMS agencies to 122 hospitals in 7 regions, overall and by injury severity. Among 301,214 patients, the average adjusted per episode cost of care was $5,590 higher in a level 1 trauma center than in a nontrauma hospital. We found hospital-level differences in cost among patients with minor, moderate, and serious injuries. Of the 248,342 low-risk patients—those who did not meet field triage guidelines for transport to trauma centers—85,155 (34.3 percent) were still transported to major trauma centers, accounting for up to 40 percent of acute injury costs. Adhering to field triage guidelines that minimize the overtriage of low-risk injured patients to major trauma centers could save up to $136.7 million annually in the seven regions we studied.
BACKGROUND Optimal resuscitation of hypotensive trauma patients has not been defined. This trial was performed to assess the feasibility and safety of controlled resuscitation (CR) versus standard resuscitation (SR) in hypotensive trauma patients. METHODS Patients were enrolled and randomized in the out-of-hospital setting. 19 EMS systems in the Resuscitation Outcome Consortium participated. Eligible patients had an out-of-hospital systolic blood pressure (SBP) ≤ 90 mmHg. CR patients received 250 cc of fluid if they had no radial pulse or a SBP < 70 mmHg and additional 250 cc boluses to maintain a radial pulse or a SBP ≥ 70 mmHg. SR group patients received 2 liters initially and additional fluid as needed to maintain a SBP ≥ 110 mmHg. The crystalloid protocol was maintained until hemorrhage control or 2 hours after hospital arrival. RESULTS 192 patients were randomized (97 CR and 95 SR). The CR and SR groups were similar at baseline. Average crystalloid volume administered during the study period was 1.0 liter (SD 1.5) in the CR group and 2.0 liters (SD 1.4) in the SR group, a difference of 1.0 liter (95% CI: 0.6 to 1.4). ICU-free days, ventilator-free days, renal injury and renal failure did not differ between groups. At 24 hours after admission, there were 5 deaths (5%) in the CR group and 14 (15%) in the SR group (adjusted odds ratio 0.39 [95% CI: 0.12, 1.26]). Among patients with blunt trauma, 24-hour mortality was 3% (CR) and 18% (SR) with an adjusted OR of 0.17 (0.03, 0.92). There was no difference among patients with penetrating trauma: 9% vs 9%, adjusted OR 1.93 (0.19, 19.17). CONCLUSION Controlled resuscitation is achievable in out-of-hospital and hospital settings and may offer an early survival advantage in blunt trauma. A large-scale, Phase III trial to examine its effects on survival and other clinical outcomes is warranted.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.