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CMAJ : Canadian Medical Association Journal logoLink to CMAJ : Canadian Medical Association Journal
. 2008 Apr 22;178(9):1141–1152. doi: 10.1503/cmaj.071154

The OPALS Major Trauma Study: impact of advanced life-support on survival and morbidity

Ian G Stiell 1, Lisa P Nesbitt 1, William Pickett 1, Douglas Munkley 1, Daniel W Spaite 1, Jane Banek 1, Brian Field 1, Lorraine Luinstra-Toohey 1, Justin Maloney 1, Jon Dreyer 1, Marion Lyver 1, Tony Campeau 1, George A Wells 1; for the OPALS Study Group1
PMCID: PMC2292763  PMID: 18427089

Abstract

Background

To date, the benefit of prehospital advanced life-support programs on trauma-related mortality and morbidity has not been established

Methods

The Ontario Prehospital Advanced Life Support (OPALS) Major Trauma Study was a before–after systemwide controlled clinical trial conducted in 17 cities. We enrolled adult patients who had experienced major trauma in a basic life-support phase and a subsequent advanced life-support phase (during which paramedics were able to perform endotracheal intubation and administer fluids and drugs intravenously). The primary outcome was survival to hospital discharge.

Results

Among the 2867 patients enrolled in the basic life-support (n = 1373) and advanced life-support (n = 1494) phases, characteristics were similar, including mean age (44.8 v. 47.5 years), frequency of blunt injury (92.0% v. 91.4%), median injury severity score (24 v. 22) and percentage of patients with Glasgow Coma Scale score less than 9 (27.2% v. 22.1%). Survival did not differ overall (81.1% among patients in the advanced life-support phase v. 81.8% among those in the basic life-support phase; p = 0.65). Among patients with Glasgow Coma Scale score less than 9, survival was lower among those in the advanced life-support phase (50.9% v. 60.0%; p = 0.02). The adjusted odds of death for the advanced life-support v. basic life-support phases were nonsignificant (1.2, 95% confidence interval 0.9–1.7; p = 0.16).

Interpretation

The OPALS Major Trauma Study showed that systemwide implementation of full advanced life-support programs did not decrease mortality or morbidity for major trauma patients. We also found that during the advanced life-support phase, mortality was greater among patients with Glasgow Coma Scale scores less than 9. We believe that emergency medical services should carefully re-evaluate the indications for and application of prehospital advanced life-support measures for patients who have experienced major trauma.

Each year in the United States, an estimated 500 000 adult patients are transported to hospital after experiencing major trauma.1,2 Major trauma can be described as life-or limb-threatening injury due to blunt force, penetrating injury or burn injury. Considering both frequency and associated mortality, major trauma is the second most important condition for children and the fourth most important condition for adults treated by emergency medical service providers.2 About 20% of these patients die, and many survivors are left with permanent disability.

Throughout most urban areas of the United States and Canada, paramedics provide prehospital advanced life-support to many of these critically injured patients. Advanced life-support protocols include advanced airway management (endotracheal intubation) and intravenous fluid therapy. In contrast, basic life-support providers administer oxygen, ventilate with a bag valve mask, and provide immobilization and dressings. The relative effectiveness of community-based advanced life-support programs for major trauma patients has not been clearly established, and there have been calls for larger and more rigorously designed studies.3–5

Endotracheal intubation in the field has not been proven to reduce mortality and morbidity among severely injured patients, and there are concerns that performing this difficult task under trying conditions may cause harm.6,7 The value of prehospital intravenous resuscitation has also been questioned.8,9 In addition, there are concerns that the on-scene time spent providing advanced life-support measures may actually delay life-saving expeditious transfer to the hospital and the operating room.10 To date, no large controlled clinical trials have been conducted to evaluate the impact of prehospital advanced life-support programs on trauma-related mortality and morbidity.3

As part of the Ontario Prehospital Advanced Life Support (OPALS) studies, we recently demonstrated that advanced life-support programs had no impact on the outcomes of patients who had experienced cardiac arrest, but they did lead to significant improvement in survival among patients with respiratory distress.11,12 The primary objective of the current study, the OPALS Major Trauma Study, was to assess any change in survival that might result from the systemwide introduction of prehospital advanced life-support programs in multiple cities with existing basic life-support programs provided through emergency medical services. We also evaluated the impact of advanced life-support on morbidity and processes of care.

Methods

Design

We conducted a systemwide before–after controlled clinical trial, the unit of study being individual eligible patients with major trauma seen during 2 distinct phases: the basic life-support phase (36 months) and the advanced life-support phase (36 months).13 Patient data were pooled across multiple study cities, but the start date for each phase differed, as each community required different periods to train paramedics to the advanced-life-support standard. The data-collection phases for each city were separated by intervening run-in periods to allow for training and system optimization. Detailed methods for the major trauma portion of the OPALS Study were published previously.13

Setting

We conducted the study in 17 cities within the province of Ontario, Canada, with medical oversight for emergency medical services provided by 11 provincial base-hospital programs. The total population was 2.5 million, with the population of individual cities varying from 20 000 to 750 000. Two large cities in the jurisdiction, Toronto and Hamilton, were not included because they both had pre-existing advanced life-support response systems. Each of the participating centres was served by a provincial Central Ambulance Communications Centre, which provided electronic and synchronized dispatch information. The paramedics documented prehospital care on a standardized provincial ambulance call report form. During the basic life-support phase, each community provided a tiered response: firefighters first, followed by primary care paramedics who were trained to provide all basic life-support measures.

Population

The study population consisted of all patients 16 years of age or older who had been injured by any mechanism, whose injury severity score was more than 12, who had been transported by land ambulance and who had been treated at one of the 13 lead trauma hospitals in Ontario. Patients could have been transferred from a primary hospital or taken directly from the scene to the trauma hospital. Hospital and outcome data were available from the Ontario Trauma Registry Comprehensive Data Set.14 We abstracted prehospital information from ambulance call reports and the database of the provincial dispatch centre. Excluded were patients younger than 16 years, those whose injury had occurred more than 8 hours before the call to emergency medical services and those who were pronounced dead at the scene. The study received full approval by the Ottawa Hospital Research Ethics Board, and the requirement for informed consent was waived.

Intervention

The study intervention consisted of an advanced life-support program whereby 400 paramedics were trained to perform endotracheal intubation, insert intravenous lines and administer medications and fluids intravenously. The Ontario Ministry of Health and Long-Term Care funded this advanced life-support program and has estimated that the total cost of training and operational upgrades was $15.8 million. All of these paramedics had previously completed a 10-month community college program and had several years of experience. For the study, the paramedics completed training to meet the Canadian Medical Association's Emergency Medical Technician Level III standards; this training involved 6 weeks of didactic instruction, 6 weeks of clinical instruction and a 12-week preceptorship (training in the field). To qualify for the advanced life-support phase of the OPALS Study, each community had to meet the following criteria for cardiac arrest patients: paramedics responded to 95% of cases, paramedics arrived at the scene within 11 minutes for 80% of cases, and paramedics successfully performed endotracheal intubation for 90% of cases. Of the original 20 communities considered for this study, 3 did not meet these standards and were excluded.

Outcome measures

The primary outcome, survival to hospital discharge, was defined as the patient leaving the hospital alive or being transferred to a long-term care facility; we obtained these data from hospital records. In addition, we measured disease-specific quality of life with the 7-level functional independence measure for survivors.15

Data analysis

The sample size available for analyzing the primary outcome (survival to hospital discharge) was determined from the number of available cases in the study communities before (n = 1373) and after (n = 1494) introduction of advanced life-support services. Given a set of 4 assumptions (2-sided α = 0.05, β = 0.20, baseline survival = 81.9%, and 1:1.09 ratio of patients in the 2 study phases), we estimated that the minimum absolute difference in the primary outcome that was detectable between the study phases was 3.8% (85.7% advanced life-support v. 81.9% basic life-support). We tested the primary hypothesis of improvement in survival rates from the basic life-support phase to the advanced life-support phase by χ2 analysis techniques. All p values are 2-tailed.

We captured data for the following potential confounders: demographic characteristics (age, sex, community); prehospital variables (case severity, systolic and diastolic blood pressure, respiratory rate, Glasgow Coma Scale score, revised trauma score,16 nature of injury, requirement for extrication, the response-time intervals “crew notified to vehicle stops,” “vehicle stops to patient side,” “patient side to depart scene” and “depart scene to arrive hospital emergency department”); measures of specific advanced life-support interventions (ventilation, oral and nasal intubation, intravenous administration of fluids, administration of morphine); and hospital variables from the records of the lead trauma hospital (Glasgow Coma Scale score, revised trauma score, injury severity score, abbreviated injury score by body region,17 external cause of injury code from the 9th revision of the International Classification of Diseases, direct admission or transfer from another primary or secondary hospital, intensive care). In cases during the second phase of the study where basic life-support and advanced life-support crews were both sent to the scene, the first response time or the shortest response interval was employed in analytical comparisons.

We assessed the match of injury severity between the OPALS Study patients and the reference group of the earlier Major Traum Outcome Study by phase using the “M statistic,” as described in trauma score and injury severity score methodology.18,19 The M statistic ranges from 0 to 1, with a value close to 1 indicating a good match and a value close to 0 indicating a disparity in the injury severity match. We expressed the clinical importance of the difference between the observed (OPALS) and expected (Major Trauma Outcome Study) number of survivors as the “W statistic,” and we compared the mean increase or decrease in the number of survivors per 100 patients treated with norm expectations. We expressed the statistical significance of the difference in survival in the OPALS study population relative to the Major Trauma Outcome Study population with the “Z statistic.” Absolute Z values exceeding 1.96 indicate a statistically significant difference in observed v. predicted survival rates.

We compared outcomes between phases for the following a priori subgroups: community size, nature of injury, external cause of injury, injury severity, Glasgow Coma Scale score, systolic blood pressure, abbreviated injury score and patient age. We also developed a series of multiple logistic regression models to assess the effects of study interventions (study phase, advanced life-support on site, and specific advanced life-support interventions) on patient nonsurvival, while simultaneously controlling for confounders indicated by the trauma score and injury severity score methodology.

Results

A total of 2867 patients were enrolled during the basic life-support phase (n = 1373; total period July 1, 1992, to Feb. 28, 1998) and advanced life-support phase (n = 1494; total period Feb. 1, 1998, and June 30, 2002) for all cities. Patients in the 2 phases were similar for most characteristics obtained from the prehospital (Table 1) and trauma hospital (Table 2) records. Compared with patients in the basic life-support phase, those in the advanced life-support phase were slightly older and from larger communities, had higher mean systolic blood pressure and lower respiratory rates, and had less severe injuries as indicated by Glasgow Coma Scale scores and revised trauma scores. During the advanced life-support phase, 6.8% of patients were intubated, which represents a success rate of 71.8% of cases in which intubation was attempted. In addition, intravenous access was established in 63.0% of patients, which represents a success rate of 90.3% for all attempts. Overall, 11.7% of the patients received intravenous fluid bolus therapy. According to hospital records (Table 2), patients in the advanced life-support phase had less severe injuries (as indicated by Glasgow Coma Scale score, revised trauma score, abbreviated injury scale and injury severity score), were more likely to have had a fall and less likely to have been involved in a motor vehicle collision, and were more likely to have been directly admitted to the lead trauma hospital compared with patients in the basic life-support phase.

Table 1

graphic file with name 17TT1.jpg

Table 2

graphic file with name 17TT2.jpg

There was no substantial difference in overall survival to hospital discharge by study phase (81.8% for the basic life-support phase v. 81.1% for the advanced life-support phase; p = 0.65) (Table 3). In addition, the proportion of early deaths, within 24 hours, did not differ. More patients in the advanced life-support phase than in the basic life-support phase were judged by the paramedics to have “improved en route to hospital” (5.3% v. 10.1%; p < 0.001). There were no differences in morbidity between the phases, as indicated by the Glasgow outcome scale and functional independence measure at discharge and 6 months after discharge.

Table 3

graphic file with name 17TT3.jpg

For most of the a priori subgroups examined, there was also no difference in survival to hospital discharge by study phase (Table 4). The exception were the 598 cases with an initial Glasgow Coma Scale score of less than 9, for whom survival was lower in the advanced life-support phase than in the basic life-support phase (60.1% v. 51.2%; p = 0.03). Within the advanced life-support phase, survival was lower for cases in which an advanced life-support crew attended the trauma scene than for those attended by basic life-support crews only (86.4% for basic life-support v. 79.1% for advanced life-support; p < 0.001). The trauma cases in both phases of this study were more severe than norms from the Major Trauma Outcome Study (M = 0.67 and 0.70 for basic and advanced life-support phases, respectively). The number of survivors in each phase of the OPALS Study was not substantially different from that predicted by Major Trauma Outcome Study norms (Z = 0.72 for basic life-support phase, Z = –0.62 for advanced life-support phase).

Table 4

graphic file with name 17TT4.jpg

To better understand the factors influencing survival, we compared survivors with nonsurvivors (Table 5) and then conducted several logistic regression analyses to assess the effects of study interventions on patient mortality while controlling for potential confounding variables (Figure 1, Figure 2, Figure 3, Figure 4; Appendix 1, available online at www.cmaj.ca/cgi/content/full/178/9/1141/DC2). In all models, poorer survival was associated with older age, higher injury severity score and lower revised trauma score (i.e., more severe). We found that the adjusted odds ratio (OR) for mortality between the advanced life-support and basic life-support phases was not significant when we used the revised trauma score obtained from the trauma hospital (adjusted OR 1.2, 95% confidence interval [CI] 0.9–1.7; Figure 1), but it was significant when we used the prehospital revised trauma score (adjusted OR 1.4, 95% CI 1.0– 1.9; Figure 2). The presence of advanced life-support providers at the scene was associated with increased mortality (adjusted OR 1.5, 95% CI 1.1–2.0; Figure 3). In addition, intubation in the field was associated with increased mortality (adjusted OR 2.8, 95% CI 1.6–5.0; Figure 4), and intravenous fluid therapy was associated with no benefit (adjusted OR 0.8, 95% CI 0.4–1.4).

Table 5

graphic file with name 17TT5.jpg

graphic file with name 17FF1.jpg

Figure 1: Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) evaluating factors associated with mortality at hospital discharge. Model incorporates study phase and final (hospital) revised trauma score as predictors of mortality. Goodness-of-fit: p > 0.20. *Final assessment of revised trauma score represents value from lead trauma hospital; if missing, the value from the scene was used. †Time from call received to arrival of crew at patient side.

graphic file with name 17FF2.jpg

Figure 2: Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) evaluating factors associated with mortality at hospital discharge. Model incorporates study phase and initial (field) revised trauma score as predictors of mortality. Goodness-of-fit: p > 0.20. *Initial assessment of revised trauma score represents value from the scene; if missing, the value from the lead trauma hospital was used. †Time from call received to arrival of crew at patient side.

graphic file with name 17FF3.jpg

Figure 3: Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) evaluating factors associated with mortality at hospital discharge. Model incorporates advanced life-support provided at the scene as predictor of mortality. Goodness-of-fit: p > 0.20. *Initial assessment of revised trauma score represents value from the scene; if missing, the value from the lead trauma hospital was used. †Time from call received to arrival of crew at patient side.

graphic file with name 17FF4.jpg

Figure 4: Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) evaluating factors associated with mortality at hospital discharge. Model incorporates advanced life-support interventions as predictors of mortality. Goodness-of-fit: p > 0.20. *Initial assessments of Glasgow Coma Scale score and systolic blood pressure represent values from the scene; if missing, the value from the lead trauma hospital was used. †Time from call received to arrival of crew at patient side.

Interpretation

In this controlled clinical trial, we found that the systemwide implementation of prehospital advanced life-support did not decrease mortality or morbidity among major trauma victims. Despite the large sample, controlled design and multiple approaches to the analysis, we found no evidence of benefit in any clinically relevant subgroup of patients. To the contrary, the evidence suggested that patients with Glasgow Coma Scale scores less than 9 had worse survival during the advanced life-support phase than during the basic life-support phase. Our findings support those who believe that definitive trauma care is best provided in the operating room and that prehospital interventions may be associated with increased complications or may delay transfer to hospital.

Controlled clinical trials of critically injured patients are difficult to conduct, particularly in the out-of-hospital setting, and observers have called for better evidence from more rigorous studies.3–5 Previous evaluations of advanced life-support programs have generally had small numbers or have used observational methods.20–26 These studies generally found no support for prehospital advanced life-support measures in major trauma. Although our study evaluated the package of interventions that is considered part of advanced life-support protocols, endotracheal intubation and intravenous fluid administration were the dominant elements of the protocols of care. We documented higher mortality among patients undergoing prehospital endotracheal intubation even after controlling for age, injury severity and physiologic measures. It seems intuitive that intubation would help some trauma patients in the field, but there is surprisingly little evidence to support aggressive airway management by paramedics. Multiple studies have found no benefit from paramedic intubation of patients with head injury.23,27–30 Other observational studies have suggested worse outcomes for patients with head injury who are intubated in the field.31,32 Rapid-sequence intubation techniques that employ neuromuscular blockade are particularly controversial, and expectations of benefit have not been confirmed by controlled studies.6,7,33–38 Three retrospective studies suggested that field intubation by ground or aeromedical paramedics was associated with better survival among patients with traumatic brain injury.33–35 These expectations of benefit have not been confirmed by controlled studies. In addition, ours was the first large-scale controlled study to evaluate intravenous fluid therapy in patients with blunt trauma and head injury, but no benefit was observed. Lack of effectiveness of intravenous fluid therapy has been previously demonstrated, especially for patients with penetrating trauma to the torso.8,9,39,40

The strengths of our study include the large number of patients, the involvement of communities of differing size across a broad geographic area and a controlled design that included a complete population-based sample. Training of the paramedics involved a standardized national curriculum and clinical training period. All trainees were experienced emergency medical technicians and had the benefit of a 6- to 36-month run-in period in which to perfect their skills. The paramedics were skilful at performing procedures in these difficult cases; we previously demonstrated that, for patients who had experienced cardiac arrest, these same paramedics were able to successfully intubate in 93.7% of cases and to start an intravenous line in 89.0%.11 The crews arrived at scene in a timely fashion (median 6.6 minutes).

An important potential limitation is that this study was designed as a before–after controlled trial, rather than as a randomized trial. However, we do not believe that this undermines the validity of the findings. Randomization by patient was not possible, because the paramedics considered it unethical to randomly withhold potentially life-saving procedures from patients. Selection bias was minimized by the population-based approach, whereby all patients from the study communities who had been treated at the regional trauma centre were included. We are not aware of any important new therapies or any general societal increase in survival rates among patients experiencing major trauma during the study period. Nevertheless, multiple statistical approaches were taken to ensure the validity and robustness of our outcome measures.

The implications of this study are that community emergency medical services should carefully re-evaluate the use of advanced life-support measures for most trauma patients. Our data showed no benefit for any group of patients. Furthermore, we are concerned that the patients with head injury who had a Glasgow Coma Scale score of less than 9 appeared to have higher mortality during the advanced life-support phase than during the basic life-support phase. We note that, after controlling for age, injury severity and physiologic measures, intubation in the field had an odds ratio for mortality of 2.8. These data should lead to a re-evaluation of the indications for and application of advanced life-support measures in the field for trauma patients in urban areas. These findings cannot be extrapolated to either the care of trauma patients in rural settings or advanced life-support care for patients with nontraumatic conditions such as respiratory distress and chest pain. To prevent the deleterious effects of misplaced tubes, hypoxia and hypercapnea, prehospital intubation of trauma patients should always be accompanied by continuous pulse oximetry as well as end-tidal carbon dioxide monitoring and recording.

Conclusion

The implementation of full prehospital advanced life-support by trained paramedics was not associated with lower mortality rates relative to basic life-support measures for patients with major trauma. Furthermore, our evidence indicates that, for patients with suspected head injuries and a Glasgow Coma Scale score of less than 9, mortality was greater during the advanced life-support phase of the study than during the basic life-support phase. On the basis of these findings, we suggest that emergency medical services should carefully re-evaluate the indications for and application of prehospital advanced life-support measures for patients with major trauma.

@ See related article page 1171

Supplementary Material

[Résumé]
[Online Appendix]
[Videos]

Acknowledgments

We thank the OPALS Study Group investigators from the following network of Ontario base hospitals: Burlington: Matthew W. Stempien MD, Carrie I. Parkinson BScN; Cambridge: David Waldbillig MD, Kieran W. Ballah EMCA; Kingston: Gordon J. Jones MD, Mark R. Halladay EMCA; London: Kenneth A. Boyle EMCA; Ottawa: John P. Trickett BScN; Peterborough: Vincent Arcieri MD, John W. Fader BSc; Sarnia: Martin G.J. Lees MD, Dallas D. LaBarre EMCA; Sudbury: Robert S. Lepage MD, Sylvie Salminen EMCA; Thunder Bay: Andrew W. Affleck MD, Tara A. Tyson BAdmin; Windsor: James C. Fedoruk MD, Meikel Gobet EMCA.

Footnotes

Une version française de ce résumé est disponible à l'adresse www.cmaj.ca/cgi/content/full/178/9/1141/DC1

Disclaimer: George Wells is a coauthor of this article. As a biostatistics consultant of CMAJ, he was not involved in the vetting of the manuscript before its acceptance.

This article has been peer reviewed.

Contributors: Ian Stiell and George Wells conceived the study, designed the trial and obtained research funding. Ian Stiell and Lisa Nesbitt supervised the conduct of the trial and data collection. Ian Stiell, Lisa Lesbitt, William Pickett, Douglas Munkley, Daniel Spaite, Jane Banek, Brian Field, Lorraine Luinstra-Toohey, Justin Maloney, Joe Dreyer, Marion Lyver and Tony Campeau recruited the participating centres and managed the data, including quality control. Ian Stiell, Lisa Nesbitt, William Pickett and George Wells provided statistical advice on study design and analyzed the data. Ian Stiell drafted the manuscript, and all of the authors contributed substantially to its revision and approved the final version. Ian Stiell takes responsibility for the paper as a whole.

This study was funded by peer-reviewed grants from the Emergency Health Services Branch of the Ontario Ministry of Health and Long-Term Care and the Canadian Health Services Research Foundation. These government agencies had no role in the study design; the collection, analysis or interpretation of data; the writing of the report; or the decision to submit the paper for publication.

We thank Julie Cummins for assistance with preparation of the manuscript. We also thank the other members of the OPALS Study Coordinating Centre: David Brisson and Tammy Beaudoin (research staff), Catherine Clement (editing), Irene Harris (administrative support), My-Linh Tran (programming) and Sheryl Domingo (data entry). We thank Cathy Francis of the Ontario Ministry of Health and Long-Term Care for her support, contributing staff members from our network of Ontario base hospitals and the many primary care and advanced care paramedics who participated in the OPALS Study.

Ian Stiell holds a Distinguished Professorship and a University Health Research Chair from the University of Ottawa.

Competing interests: None declared.

Correspondence to: Dr. Ian G. Stiell, Clinical Epidemiology Unit, Rm. F657, Ottawa Health Research Institute, The Ottawa Hospital — Civic Campus, 1053 Carling Ave., Ottawa ON K1Y 4E9; fax 613 761-5351; istiell@ohri.ca

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