Motor vehicle crashes in New York State: importance of accounting for emergency department deaths when assessing differences in in-hospital mortality by level of care

Epidemiology and contemporary patterns of trauma deaths: changing place, similar pace, older face

BACKGROUND

The epidemiology of trauma deaths in Europe is less than well investigated. Thus, our goal was to study the contemporary patterns of trauma deaths within a defined population with an exceptionally high trauma autopsy rate.

METHODS

This was a retrospective evaluation of 260 consecutive trauma autopsies for which we collected demographic, pre-hospital and in-hospital data. Patients were analyzed for injury severity by standard scoring systems (Abbreviated Injury Scale [AIS], Revised Trauma Score [RTS], and Injury Severity Score [ISS]), and the Trauma and Injury Severity Scale [TRISS] methodology.

RESULTS

The fatal trauma incidence was 10.0 per 100,000 inhabitants (17.4 per 100,000 age-adjusted > or = 55 years). Blunt mechanism (87%), male gender (75%), and pre-hospital deaths (52%) predominated. Median ISS was 38 (range: 4-75). Younger patients (<55 years) who died in the hospital were more often hypotensive (SBP < 90 mmHg; p = 0.001), in respiratory distress (RR < 10/min, or > 29/min; p < 0.0001), and had deranged neurology on admission (Glasgow Coma Score [GCS] < or = 8; p < 0.0001), compared to those > or = 55 years. Causes of death were central nervous system (CNS) injuries (67%), exsanguination (25%), and multiorgan failure (8%). The temporal death distribution is model-dependent and can be visualized in unimodal, bimodal, or trimodal patterns. Age increased (r = 0.43) and ISS decreased (r = -0.52) with longer time from injury to death (p < 0.001). Mean age of the trauma patients who died increased by almost a decade during the study period (from mean 41.7 +/- 24.2 years to mean 50.5 +/- 25.4 years; p = 0.04). The pre-hospital:in-hospital death ratio shifted from 1.5 to 0.75 (p < 0.007).

CONCLUSIONS

While pre-hospital and early deaths still predominate, an increasing proportion succumb after arrival in hospital. Focus on injury prevention is imperative, particularly for brain injuries. Although hemorrhage and multiorgan failure deaths have decreased, they do still occur. Redirected attention and focus on the geriatric trauma population is mandated.

Regional Differences in Outcomes for Hospitalized Injured Patients

BACKGROUND

Our goal was to use a hospital population-based data set that was a sample of all injured patients admitted to a hospital in the United States to develop universal measures of outcome and processes of care.

METHODS

Patients with a primary discharge diagnosis of injury (ICD-9 800 to 959) in the HCUP/Nationwide Inpatient Sample for the years 1995 to 2000 were used to estimate the annual number of hospitalized injured patients. Using census data, we calculated age- and sex- adjusted average annual incidence rates for four census regions in the United States: Northeast, Midwest, South and West. Outcomes measured were annual rates per million populations of hospitalization rate, death rate, and potentially ineffective care (PIC) rate defined as >28 days of hospitalization ending in death. Length of stay (LOS) was calculated as total number of days annually hospitalized for injury for census regions per million populations.

RESULTS

Incidence rates per million populations and 95% confidence intervals for rate of hospitalizations for injury were: Northeast, 5596 (5338-5853); Midwest, 5516 (5316-5716); South, 5639 (5410-5869); West, 5307 (5071-5543). Incidence rates per million populations and 95% confidence intervals for rate of in-hospital deaths were: Northeast, 129 (119-139); Midwest, 131 (122-139); South, 141 (129-152); West, 114 (106-123). Incidence rates per million populations and 95% confidence intervals for rate of PIC were: Northeast, 11 (10-13); Midwest, 5 (4-5); South, 6 (5-7); West, 4 (3-4). Incidence rates per million populations and 95% confidence intervals for hospital days were: Northeast, 34 (32-36); Midwest, 30 (28-31); South, 30 (29-32); West, 26 (24-27).

CONCLUSION

Regional differences in outcomes and processes of care for hospitalized injured patients exist and may be influenced by hospital characteristics and region of the country. Research to identify the factors that cause these hospital and regional variations is needed. These observations suggest that to develop a uniform standard for quality of care, it will be essential to have valid and robust hospital population-based measures.

Hospital Factors Associated with Splenectomy for Splenic Injury: A National Perspective

BACKGROUND

The management of patients with splenic injury has shifted from routine splenectomy to attempts at splenic salvage. Using the Healthcare Cost and Utilization Project's National Inpatient Sample (HCUP-NIS), we assessed the patterns of care for splenic trauma. We hypothesized that the processes of care in urban and rural hospitals would differ.

METHODS

Generalized estimating equations were used to identify predictor variables associated with laparotomy and splenectomy from a national, population-based sample of inpatients (HCUP-NIS). Fourteen thousand nine hundred one patients with an International Classification of Diseases, Ninth Revision, Clinical Modification discharge diagnosis code of 865 were selected from the 1998 to 2000 HCUP-NIS data. Exclusion criteria included age greater than 80 years. Analyses were compared using all patients and excluding patients who died during the first 2 hospital days.

RESULTS

Eight thousand five hundred fifty-three patients were treated in urban teaching hospitals. Forty percent underwent a laparotomy and 28% underwent a splenectomy at that time. Another 4,461 patients were cared for in urban nonteaching hospitals. Of these, 46% had a laparotomy and 35% underwent a splenectomy. The remaining 1,887 patients were seen in rural hospitals. Forty-six percent had a laparotomy and 36% had a splenectomy. Patients in urban teaching hospitals had lower risk-adjusted odds of splenectomy in multivariate models controlling for confounders including overall injury severity. Overall splenic salvage increased from 1998 to 2000, primarily because of increased salvage rates among urban teaching hospitals.

CONCLUSION

The management of patients with splenic injury differs among urban teaching, urban nonteaching, and rural hospitals. Surgeons at urban teaching hospitals appear more willing to attempt splenic salvage by means of nonoperative management.

Triage scoring systems, severity of illness measures, and mortality prediction models in pediatric trauma

Trauma triage scores, severity of illness measures, and mortality prediction models quantitate severity of injury and stratify patients according to a specified outcome. Triage scoring systems are typically used to assist prehospital personnel determine which patients require trauma center care, but they are not recommended as the sole determinant of triage. Severity of illness measures and mortality prediction models are used in clinical and health services research for risk-adjusted outcomes analyses and institutional benchmarking. As clinicians and researchers, it is imperative that we be knowledgeable of the methodologies and applications of these scoring and risk prediction systems to ensure their quality and appropriate utilization.