Abstract
Background
The manifestations associated with non-survival after multiple trauma may vary importantly between countries and institutions. The aim of the present study was to assess the quality of performance by comparing actual mortality rates to the literature.
Methods
The study involved evaluation of a prospective consecutive multiple trauma cohort (injury severity score, ISS > 16) primarily admitted to a university hospital. Univariate and multivariate testing of routine parameters and scores, such as the Trauma and Injury Severity Score (TRISS), was used to determine their predictive powers for mortality.
Results
The 30-day mortality of 22.8% (n = 54) exactly matched predicted TRISS versions of Champion or the Major Trauma Outcome Study for our 237 multiple trauma patients (42.8 ± 20.9 years; ISS 29.5 ± 11.5). Univariate analysis revealed significant differences between survivors and non-survivors when compared for age, ISS, Glasgow coma scale (GCS), pulse oximeter saturation (SapO2), hemoglobin, prothrombin time, and lactate. In multivariate analysis, age, ISS, and GCS (P < 0.001 each) functioned as major independent prognostic parameters of both 24 h and 30-day mortality. Various TRISS versions hardly differed in their precision (area under the curve [AUC] 0.83–0.84), but they did differ considerably in their level of requirement, with the TRISS using newer National Trauma Data Bank coefficients (NTDB-TRISS) offering the highest target benchmark (predicted mortality 13%, Z value –5.7) in the prediction of 30-day mortality.
Conclusions
Because of the current lack of a single, internationally accepted scoring system for the prediction of mortality after multiple trauma, the comparison of outcomes between medical centers remains unreliable. To achieve effective quality control, a practical benchmarking model, such as the TRISS-NTDB, should be used worldwide.
Similar content being viewed by others
References
Uranues S, Lamont E (2008) Acute care surgery: the European model. World J Surg 32:1605–1612
Sauaia A, Moore F, Moore E et al (1995) Epidemiology of trauma deaths: a reassessment. J Trauma 38:185–193
Neary W, Prytherch D, Foy C et al (2007) Comparison of different methods of risk stratification in urgent and emergency surgery. Br J Surg 94:1300–1305
Nathens A, Xiong W, Shafi S (2008) Ranking of trauma center performance: the bare essentials. J Trauma 65:628–635
Budd H, Almond L, Oakley P et al (2008) A benchmarking study of two trauma centers highlighting limitations when standardising mortality for comorbidity. World J Emerg Surg 3:2
Neugebauer E, Lefering R (2002) Severity scores in surgery: what for and who needs them? An introduction: definition, aims, classification and evaluation. Langenbecks Arch Surg 387:55–58
Willcox N, Oakley P (2002) Survival with an arterial pH of 6.57 following major trauma with exsanguinating haemorrhage associated with traumatic amputation. Resuscitation 53:217–221
Skaga N, Eken T, Steen P (2006) Assessing quality of care in a trauma referral center: benchmarking performance by TRISS-based statistics or by analysis of stratified ISS data? J Trauma 60:538–547
Bouillon B, Lefering R, Vorweg M et al (1997) Trauma score systems. J Trauma 42:652–658
Champion H, Sacco W, Hunt T (1983) Trauma severity scoring to predict mortality. World J Surg 7:4–11
Boyd C, Tolson M, Copes W (1987) Evaluating trauma care: the TRISS method. J Trauma 27:370–378
Glance L, Osler T, Dick A (2005) Evaluation trauma center quality: does the choice of the severity-adjustment model make a difference? J Trauma 58:1265–1271
Shafi S, Nathens A, Parks J et al (2008) Trauma quality improvement using risk-adjusted outcomes. J Trauma 64:599–606
MacKenzie E, Rivara F, Jurkovich G et al (2006) A national evaluation of the effect of trauma-center care on mortality. N Engl J Med 354:366–378
Scarborough K, Slone D, Uribe P et al (2008) Reduced mortality at a community hospital trauma center: the impact of changing trauma level designation from II to I. Arch Surg 143:22–28
Nijboer J, van der Sluis C, van der Naalt J et al (2007) Two cohorts of severely injured trauma patients, nearly two decades apart: unchanged mortality but improved quality of life despite higher age. J Trauma 63:670–675
Bauzà G, LaMorte W, Burke P et al (2008) High mortality in elderly drivers is associated with distinct injury patterns: analysis of 187, 869 injured drivers. J Trauma 6430:4–310
Christensen M, Nielsen T, Ridley S et al (2008) Outcomes and costs of penetrating trauma injury in England and Wales. Injury 39:1013–1025
Maegele M, Lefering R, Yucel N et al (2007) Early coagulopathy in multiple injury: an analysis from the German Trauma Registry on 8724 patients. Injury 38:298–304
Cheng C, Graham C, Gabbe B et al (2008) Trauma care systems—a comparison of trauma care in Victoria, Australia, and Hong Kong, China. Ann Surg 247:335–342
Macleod J, Lynn M, McKenney M et al (2004) Predictors of mortality in trauma patients. Am Surg 70:805–810
Clark D, Lucas F, Ryan L (2007) Predicting hospital mortality, length of stay, and transfer to long-term care for injured patients. J Trauma 62:592–600
Champion H, Copes W, Sacco W et al (1990) A new characterization of injury severity. J Trauma 30:539–546
Millham F, LaMorte W (2004) Factors associated with mortality in trauma: re-evaluation of the TRISS method using the National Trauma Data Bank. J Trauma 56:1090–1096
Vance S (2007) The FAST scan: are we improving care of the trauma patient? Ann Emerg Med 49:364–366
Committee on Trauma, American College of Surgeons (1997) Advanced trauma life support program for doctors. American College of Surgeons, Chicago
Gennarelli T, for the American Association for Automotive Medicine (1990) The abbreviated injury scale. American Association for Automotive Medicine, Des Plaines, IL
Ruchholtz S (2000) The Trauma Registry of the German Society of Trauma Surgery as a basis for interclinical quality management. A multicenter study of the German Society of Trauma Surgery. Unfallchirurg 103:30–37
Teasdale G, Jennett B (1974) Assessment of coma and impaired consciousness. Lancet 2:81–83
Eastridge B, Salinas J, McManus J et al (2007) Hypotension begins at 110 mmHg: redefining “hypotension” with data. J Trauma 63:291–299
Belzberg H, Wo C, Demetriades D et al (2007) Effects of age and obesity on hemodynamics, tissue oxygenation, and outcome after trauma. J Trauma 62:1192–1200
Moore L, Lavoie A, LeSage N et al (2006) Statistical validation of the revised trauma score. J Trauma 60:305–311
Chien L-C, Lu K, Wo C et al (2007) Hemodynamic patterns preceding circulatory deterioration and death after trauma. J Trauma 62:932
Grimme K, Pape H, Probst C et al (2005) Calculation of different triage scores based on the German Trauma Registry. Eur J Trauma 31:480–487
Lichtveld R, Panhuizen I, Smit R et al (2007) Predictors of death in trauma patients who are alive on arrival at hospital. Eur J Trauma Emerg Surg 33:46–51
Mikulaschek A, Henry S, Donovan R et al (1996) Serum lactate is not predicted by anion gap or base excess after trauma resuscitation. J Trauma 40:218–224
Kaplan L, Frangos S (2005) Clinical review: acid-based abnormalities in the intensive care unit. Crit Care 9:198–203
Baker S, O’Neill B, Haddon W et al (1974) The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma 14:187–196
Falcone RE, Santanello SA, Schulz MA et al (1993) Correlation of metabolic acidosis with outcome following injury and its value as a scoring tool. World J Surg 17:575–579
Moore L, Lavoie A, Abdous B et al (2006) Unification of the revised trauma score. J Trauma 61:718–722
Oestern H, Tscherne H, Sturm J et al (1985) Classification of the severity of injury. Unfallchirurg 88:465–472
Bouamra O, Wrotchford A, Hollis S et al (2006) Outcome prediction in trauma. Injury 37:1092–1097
Le Gall J, Lemeshow S, Saulnier F (1993) A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA 270:2957–2963
Hansen K, Engesaeter L, Eide G et al (2005) Trauma outcome in a Norwegian regional hospital. Injury Extra 36:361–367
Hollis S, Yates D, Woodford M et al (1995) Standardized comparison of performance indicators in trauma: a new approach to case-mix variation. J Trauma 38:763–766
Murlidhar V, Roy N (2004) Measuring trauma outcome in India: an analysis based on TRISS methodology in a Mumbai university hospital. Injury 35:386–390
Demetriades D, Chan L, Velmanos G et al (2001) TRISS methodology: an inappropriate tool for comparing outcomes between trauma centers. J Am Coll Surg 193:250–254
Younge P, Coats T, Gurney D et al (1997) Interpretation of the Ws statistic: application to an integrated trauma system. J Trauma 43:511–515
Hirschmann M, Uike K, Kaufmann M et al (2007) Quality management of interdisciplinary treatment of polytrauma. Possibilities and limits of retrospective routine data collection. Der Anaesthesist 56:673–678
Skaga N, Eken T, Jones J et al (2008) Different definitions of patient outcome: consequences for performance analysis in trauma. Injury 39:612–622
Ruchholtz S, Lefering R, Paffrath T et al (2008) Reduction in mortality of severely injured patients in Germany. Dtsch Arztebl Int 105:225–231
Aldrian S, Nau T, Koenig F et al (2006) Management of polytrauma patients during 10 years. Osteo Trauma Care 14:93–97
Aldrian S, Koenig F, Weninger P et al (2007) Characteristics of polytrauma patients between 1992 and 2002: what is changing? Injury 38:1059–1064
Dutton R, Lefering R, Lynn M (2006) Database predictors of transfusion and mortality. J Trauma 60:S70–S77
Kilgo P, Meredith J, Osler T (2006) Incorporating recent advances to make the TRISS approach universally available. J Trauma 60:1002–1009
The EuroTARN Writing Committee on behalf of the EuroTARN Group (2007) A comparison of European trauma registries: the first report from the EuroTARN Group. Resuscitation 75:286–297
Bouamra O, Wrotchford A, Hollis S et al (2006) A new approach to outcome prediction in trauma: a comparison with the TRISS model. J Trauma 38:185–193
Guzzo J, Bochicchio G, Napolitano L et al (2005) Prediction of outcomes in trauma: anatomic or physiologic parameters? J Am Coll Surg 201:891–897
Demetriades D, Chan L, Velmahos G et al (1998) TRISS methodology in trauma: the need for alternatives. Br J Surg 85:379–384
Hannan E, Mendeloff J, Farrell L et al (1995) Validation of TRISS and ASCOT using a non-MTOS trauma registry. J Trauma 38:83–88
Wisner D (2006) Editorial comment. J Trauma 61:722
Rutledge R, Osler T, Emery S et al (1998) The end of the Injury Severity Score (ISS) and the Trauma and Injury Severity Score (TRISS): ICISS, in international classification of diseases, ninth revision-based prediction tool, outperforms both ISS and TRISS as predictors of trauma patient survival, hospital charges, and hospital length of stay. J Trauma 44:41–49
Kirkham J, Bouamra O (2008) The use of statistical process control for monitoring institutional performance in trauma care. J Trauma 65:1494–1501
David J, Gelas-Dore B, Inaba K et al (2007) Are patients with self-inflicted injuries more likely to die? J Trauma 62:1495–1500
Chardoli M, Rahimi-Movaghar V (2006) Analysis of trauma outcome at a university hospital in Zahedan, Iran using the TRISS method. East Afr Med J 83:440–442
Champion H, Copes W, Sacco W et al (1990) The major trauma outcome study: establishing national norms for trauma care. J Trauma 30:1356–1365
McKinley B, Marvin R, Cocanour C et al (2000) Blunt trauma resuscitation: the old can respond. Arch Surg 135:688–695
Velmahos G, Demetriades D, Shoemaker W et al (2000) Endpoints of resuscitation of critically injured patients: normal or supranormal? Ann Surg 232:409–418
Linn S, Levi L, Grunau P et al (2007) Effect measure modification and confounding of severe head injury mortality by age and multiple organ injury severity. Ann Epidemiol 1714:2–147
Lackner C, Burghofer K, Stolpe E et al (2007) Prognostic value of routine parameters and laboratory parameters after major trauma. Der Unfallchirurg 4:307–319 [in German]
Eastridge B, Malone D, Holcomb J (2006) Early predictors of transfusion and mortality after injury: a review of the data-based literature. J Trauma 60:S20–S25
Rixen D, Raum M, Bouillon B et al (2001) Predicting the outcome in severe injuries: An analysis of 2069 patients from the trauma register of the German Society of Traumatology (DGU). Unfallchirurg 104:230–239 (in German)
Matthes G, Seifert J, Bogatzki S et al (2005) Age and prognosis of polytrauma patients. Local tailoring of the DGU prognosis model. Unfallchirurg 108:288–292 (in German)
Rixen D, Raum M, Bouillon B et al (2002) The base excess an a prognostic indicator in polytrauma patients. Anasthesiol Intensivmed Notfallmed Schmerzther 37:347–349 (in German)
Burney R (2008) Editorial comment. J Trauma 65:634–635
Teixeira P, Inaba K, Hadjizacharia P et al (2007) Preventable or potentially preventable mortality at a mature trauma center. J Trauma 63:1338–1347
Martin M, FitzSullivan E, Salim A et al (2006) Discordance between lactate and base deficit in the surgical intensive care unit: which one do you trust? Am J Surg 191:625–630
Holbrook T, Hoyt D, Anderson J (2001) The importance of gender on outcome after major trauma: functional and psychological outcomes in women versus men. J Trauma 50:270–273
Harbrecht BG, Peitzman AB, Rivera L et al (2001) Contribution of age and gender to outcome of blunt splenic injury in adults: multicenter study of the Eastern Association for the Surgery of Trauma. J Trauma 51:887–895
Haider A, Chang D, Efron D et al (2008) Race and insurance status as risk factors for trauma mortality. Arch Surg 143:945–949
Sacco W, Copes W, Bain LJ et al (1993) Effect of preinjury illness on trauma patient survival outcome. J Trauma 35:538–542
Osler T, Glance L, Buzas J et al (2008) A trauma mortality prediction model based on the anatomic injury scale. Ann Surg 247:1041–1048
Glance L, Osler T, Mukamel D et al (2009) Impact of statistical approaches for handling missing data on trauma center quality. Ann Surg 249:143–148
Newgard C (2006) The validity of using multiple imputation for missing out-of-hospital data in a state trauma registry. Acad Emerg Med 13:314–324
Arbabi S, Jurkovich G, Wahl W et al (2004) A comparison of prehospital and hospital data in trauma patients. J Trauma 56:1029–1032
Clark D (1999) Comparing institutional trauma survival to a standard: current limitations and suggested alternatives. J Trauma 47:S92–S98
Acknowledgments
This study was financially supported by the Swiss National Science Foundation (NCCR-CO-ME), the Scientific Foundation of the Swiss Accident Insurance Fund (SUVA), the Voluntary Academic Society (FAG) Basel, the Swiss group of Computer Assisted Radiology and Surgery (CARCAS) Basel, the Unit of Interventional Radiology at the University Hospital Basel, and the Swiss National Information Center for Accident Prevention (BFU). The authors thank J. Buchanan for editorial assistance with the manuscript, J. Reinkensmeier for help creating the computer database, and all the patients and collaborators involved in the study at the University Hospital Basel.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Füglistaler-Montali, I., Attenberger, C., Füglistaler, P. et al. In Search of Benchmarking for Mortality Following Multiple Trauma: A Swiss Trauma Center Experience. World J Surg 33, 2477–2489 (2009). https://doi.org/10.1007/s00268-009-0193-1
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00268-009-0193-1