Literature DB >> 26816280

Mortality Distribution in a Trauma System: From Data to Health Policy Recommendations.

Ernestina Gomes1,2, Rui Araújo3, António Carneiro3, Cláudia Dias4, Fiona E Lecky5, Altamiro Costa-Pereira6.   

Abstract

INTRODUCTION: Trimodal distribution of deaths and the golden hour concepts are in part responsible for the genesis of all modern trauma systems but these concepts have been challenged recently. Our aim was to describe distribution of death in trauma using data from a trauma system and discuss what could be done from the organizational point of view to improve outcome.
METHODS: We included all traumatic deaths occurring between 2001 and 2005 in a trauma system. Data on age, gender, time and place of injury, time of first and second hospital arrival, cause of trauma and type of accident, hospital characteristics, dominant injury and time of death were collected for this study. Formortality distribution the variable time was transformed applying a natural logarithm.
RESULTS: A total of 1,436 deaths occurred over a period of 53 months; 52% at the scene, 18% in the level I trauma center, 21% in level III trauma center and the remaining in level IV/V trauma center. Death distribution using a logarithmic scale in minutes showed four peaks: deaths at the scene, deaths in the first hours, deaths in the first 2 days and finally, deaths in the second week that we referred as 2 min, 2 h, 2 days and 2 weeks peak. We found statistically significant differences in age and dominant injury concerning timing of death.
CONCLUSIONS: A tetramodal pattern of death distribution could be described. Our data support the need to focus on the treatment of severe head injuries namely in the intensive care environment.

Entities:  

Keywords:  Epidemiology; Mortality distribution; Trauma; Trauma system

Year:  2008        PMID: 26816280     DOI: 10.1007/s00068-007-6189-3

Source DB:  PubMed          Journal:  Eur J Trauma Emerg Surg        ISSN: 1863-9933            Impact factor:   3.693


  20 in total

1.  The "golden hour" paradigm.

Authors:  John M Tallon
Journal:  Acad Emerg Med       Date:  2002-07       Impact factor: 3.451

Review 2.  The golden hour: scientific fact or medical "urban legend"?

Authors:  E B Lerner; R M Moscati
Journal:  Acad Emerg Med       Date:  2001-07       Impact factor: 3.451

3.  Trauma. Accidental and intentional injuries account for more years of life lost in the U.S. than cancer and heart disease. Among the prescribed remedies are improved preventive efforts, speedier surgery and further research.

Authors:  D D Trunkey
Journal:  Sci Am       Date:  1983-08       Impact factor: 2.142

4.  The golden hour and the silver day: detection and correction of occult hypoperfusion within 24 hours improves outcome from major trauma.

Authors:  O Blow; L Magliore; J A Claridge; K Butler; J S Young
Journal:  J Trauma       Date:  1999-11

5.  Trauma deaths in a mature urban trauma system: is "trimodal" distribution a valid concept?

Authors:  Demetrios Demetriades; Brian Kimbrell; Ali Salim; George Velmahos; Peter Rhee; Christy Preston; Ginger Gruzinski; Linda Chan
Journal:  J Am Coll Surg       Date:  2005-09       Impact factor: 6.113

6.  Epidemiology of immediate and early trauma deaths at an urban Level I trauma center.

Authors:  R Peng; C Chang; D Gilmore; F Bongard
Journal:  Am Surg       Date:  1998-10       Impact factor: 0.688

7.  The golden hour and prehospital trauma care.

Authors:  B P McNicholl
Journal:  Injury       Date:  1994-05       Impact factor: 2.586

8.  Epidemiology of trauma deaths.

Authors:  C C Baker; L Oppenheimer; B Stephens; F R Lewis; D D Trunkey
Journal:  Am J Surg       Date:  1980-07       Impact factor: 2.565

9.  Trauma fatalities: time and location of hospital deaths.

Authors:  Demetrios Demetriades; James Murray; Kiriakos Charalambides; Kathy Alo; George Velmahos; Peter Rhee; Linda Chan
Journal:  J Am Coll Surg       Date:  2004-01       Impact factor: 6.113

10.  Epidemiology of trauma deaths: a reassessment.

Authors:  A Sauaia; F A Moore; E E Moore; K S Moser; R Brennan; R A Read; P T Pons
Journal:  J Trauma       Date:  1995-02
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  6 in total

1.  The distribution of survival times after injury.

Authors:  David E Clark; Jing Qian; Kristen C Sihler; Lee D Hallagan; Rebecca A Betensky
Journal:  World J Surg       Date:  2012-07       Impact factor: 3.352

2.  Reducing mortality in severe sepsis with the implementation of a core 6-hour bundle: results from the Portuguese community-acquired sepsis study (SACiUCI study).

Authors:  Teresa Cardoso; António Henriques Carneiro; Orquídea Ribeiro; Armando Teixeira-Pinto; Altamiro Costa-Pereira
Journal:  Crit Care       Date:  2010-05-10       Impact factor: 9.097

3.  A Time Series Model for Assessing the Trend and Forecasting the Road Traffic Accident Mortality.

Authors:  Shahrokh Yousefzadeh-Chabok; Fatemeh Ranjbar-Taklimie; Reza Malekpouri; Alireza Razzaghi
Journal:  Arch Trauma Res       Date:  2016-08-03

4.  Predicting mortality, hospital length of stay and need for surgery in pediatric trauma patients.

Authors:  Shahrokh Yousefzadeh Chabok; Fatemeh Ranjbar Taklimie; Reza Malekpouri; Alireza Razzaghi
Journal:  Chin J Traumatol       Date:  2017-11-04

5.  Clinical Prediction Scoring Scheme for 24 h Mortality in Major Traumatic Adult Patients.

Authors:  Waratsuda Samuthtai; Jayanton Patumanond; Pawitrabhorn Samutrtai; Thammanard Charernboon; Kijja Jearwattanakanok; Jiraporn Khorana
Journal:  Healthcare (Basel)       Date:  2022-03-20

6.  Postinjury Sepsis-Associations With Risk Factors, Impact on Clinical Course, and Mortality: A Retrospective Observational Study.

Authors:  Jesper Eriksson; Ann-Charlotte Lindström; Elisabeth Hellgren; Ola Friman; Emma Larsson; Mikael Eriksson; Anders Oldner
Journal:  Crit Care Explor       Date:  2021-08-02
  6 in total

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