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Published in: World Journal of Surgery 6/2016

01-06-2016 | Original Scientific Report

30-Day In-hospital Trauma Mortality in Four Urban University Hospitals Using an Indian Trauma Registry

Authors: Nobhojit Roy, Martin Gerdin, Samarendra Ghosh, Amit Gupta, Vineet Kumar, Monty Khajanchi, Eric B. Schneider, Russell Gruen, Göran Tomson, Johan von Schreeb

Published in: World Journal of Surgery | Issue 6/2016

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Abstract

Introduction

In India, half of the annual 200,000 road traffic deaths occur in hospitals, but the exact in-hospital trauma mortality rate remains unknown. A research consortium of universities, with a mandate to reduce trauma mortality, measured the baseline 30-day in-hospital mortality rate.

Methods

Between September 2013 and February 2015, trained data collectors collected on-admission demographic, physiological vital signs, and health service performance indicators (time of injury to admission, investigation, or intervention) on all patients with traumatic injuries admitted to four public university hospitals in three Indian megacities.

Results

Of the 11,202 hospitalized trauma patients, 21.4 % died within 30 days of hospitalization. The median age was 30 years for survivors and 37 years for non-survivors. The on-admission systolic blood pressure and Glasgow Coma Score was near-normal in survivors, but was significantly lower in non-survivors and associated with both early and late mortality (p = 0.001). In the absence of a trauma system, there were process-of-care delays from injury to reaching and being examined, investigated, or operated in the hospital.

Conclusion

Using a multi-institutional Indian registry, this study is the first to systematically document that the 30-day in-hospital trauma mortality was twice that found in similar registries from high-income countries. Physiological scoring of on-admission vitals was clinically useful to predict mortality. More research is needed to understand the causes of high mortality and time delays in the process of delivering trauma care in India, which has no prehospital or trauma system.
Literature
1.
go back to reference Mathers C, Boerma T, Fat DM (2008) The global burden of disease: 2004 update. World Health Organization, GenevaCrossRef Mathers C, Boerma T, Fat DM (2008) The global burden of disease: 2004 update. World Health Organization, GenevaCrossRef
2.
go back to reference Mortality, G.B.D. and C. Causes of Death (2015) Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 385(9963):117–171CrossRef Mortality, G.B.D. and C. Causes of Death (2015) Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 385(9963):117–171CrossRef
4.
go back to reference World Health Organization (2010) Injuries and violence: the facts. World Health Organization, Geneva World Health Organization (2010) Injuries and violence: the facts. World Health Organization, Geneva
5.
go back to reference Tohira H et al (2012) International comparison of regional trauma registries. Injury 43(11):1924–1930CrossRefPubMed Tohira H et al (2012) International comparison of regional trauma registries. Injury 43(11):1924–1930CrossRefPubMed
8.
go back to reference Gururaj G.: Injuries in India: A national perspective. Burden of disease in India National Commission on Macroeconomics and Health, Ministry of Health & Family Welfare, Government of India, New Delhi, September (2005), p. 325 Gururaj G.: Injuries in India: A national perspective. Burden of disease in India National Commission on Macroeconomics and Health, Ministry of Health & Family Welfare, Government of India, New Delhi, September (2005), p. 325
9.
go back to reference World Health Organization (2013) WHO global status report on road safety 2013: supporting a decade of action. World Health Organization, Geneva World Health Organization (2013) WHO global status report on road safety 2013: supporting a decade of action. World Health Organization, Geneva
11.
go back to reference Shafi S et al (2009) The trauma quality improvement program of the American College of Surgeons Committee on Trauma. J Am Coll Surg 209(4):521 e1–530 e1CrossRefPubMed Shafi S et al (2009) The trauma quality improvement program of the American College of Surgeons Committee on Trauma. J Am Coll Surg 209(4):521 e1–530 e1CrossRefPubMed
12.
go back to reference Schluter PJ et al (2010) Trauma and injury severity score (TRISS) coefficients 2009 revision. J Trauma 68(4):761–770CrossRefPubMed Schluter PJ et al (2010) Trauma and injury severity score (TRISS) coefficients 2009 revision. J Trauma 68(4):761–770CrossRefPubMed
13.
go back to reference Mock C et al (2009) Guidelines for trauma quality improvement programmes. World Health Organization, Geneva Mock C et al (2009) Guidelines for trauma quality improvement programmes. World Health Organization, Geneva
15.
go back to reference Champion HR et al (1990) The Major Trauma Outcome Study: establishing national norms for trauma care. J Trauma 30(11):1356–1365CrossRefPubMed Champion HR et al (1990) The Major Trauma Outcome Study: establishing national norms for trauma care. J Trauma 30(11):1356–1365CrossRefPubMed
16.
17.
go back to reference Holcomb JB et al (2005) Manual vital signs reliably predict need for life-saving interventions in trauma patients. J Trauma Acute Care Surg 59(4):821–829CrossRef Holcomb JB et al (2005) Manual vital signs reliably predict need for life-saving interventions in trauma patients. J Trauma Acute Care Surg 59(4):821–829CrossRef
18.
go back to reference Bruijns SR et al (2013) The value of traditional vital signs, shock index, and age-based markers in predicting trauma mortality. J Trauma Acute Care Surg 74(6):1432–1437CrossRefPubMed Bruijns SR et al (2013) The value of traditional vital signs, shock index, and age-based markers in predicting trauma mortality. J Trauma Acute Care Surg 74(6):1432–1437CrossRefPubMed
19.
go back to reference Hands C et al (2013) Patterns in the recording of vital signs and early warning scores: compliance with a clinical escalation protocol. BMJ Qual Saf 22(9):719–726CrossRefPubMed Hands C et al (2013) Patterns in the recording of vital signs and early warning scores: compliance with a clinical escalation protocol. BMJ Qual Saf 22(9):719–726CrossRefPubMed
20.
go back to reference Guly HR et al (2011) Vital signs and estimated blood loss in patients with major trauma: testing the validity of the ATLS classification of hypovolaemic shock. Resuscitation 82(5):556–559CrossRefPubMed Guly HR et al (2011) Vital signs and estimated blood loss in patients with major trauma: testing the validity of the ATLS classification of hypovolaemic shock. Resuscitation 82(5):556–559CrossRefPubMed
21.
go back to reference Kondo Y et al (2011) Revised trauma scoring system to predict in-hospital mortality in the emergency department: Glasgow Coma Scale, Age, and Systolic Blood Pressure score. Crit Care 15(4):R191CrossRefPubMedPubMedCentral Kondo Y et al (2011) Revised trauma scoring system to predict in-hospital mortality in the emergency department: Glasgow Coma Scale, Age, and Systolic Blood Pressure score. Crit Care 15(4):R191CrossRefPubMedPubMedCentral
22.
go back to reference Gerdin M et al (2014) Early hospital mortality among adult trauma patients significantly declined between 1998 and 2011: three single-centre cohorts from Mumbai, India. PLoS ONE 9(3):e90064CrossRefPubMedPubMedCentral Gerdin M et al (2014) Early hospital mortality among adult trauma patients significantly declined between 1998 and 2011: three single-centre cohorts from Mumbai, India. PLoS ONE 9(3):e90064CrossRefPubMedPubMedCentral
23.
go back to reference Sartorius D et al (2010) Mechanism, glasgow coma scale, age, and arterial pressure (MGAP): a new simple prehospital triage score to predict mortality in trauma patients. Crit Care Med 38(3):831–837CrossRefPubMed Sartorius D et al (2010) Mechanism, glasgow coma scale, age, and arterial pressure (MGAP): a new simple prehospital triage score to predict mortality in trauma patients. Crit Care Med 38(3):831–837CrossRefPubMed
24.
go back to reference Roy N et al (2010) Where there are no emergency medical services-prehospital care for the injured in Mumbai, India. Prehosp Disaster Med 25(2):145–151CrossRefPubMed Roy N et al (2010) Where there are no emergency medical services-prehospital care for the injured in Mumbai, India. Prehosp Disaster Med 25(2):145–151CrossRefPubMed
25.
go back to reference Gruen RL et al (2012) Indicators of the quality of trauma care and the performance of trauma systems. Br J Surg 99(Suppl 1):97–104CrossRefPubMed Gruen RL et al (2012) Indicators of the quality of trauma care and the performance of trauma systems. Br J Surg 99(Suppl 1):97–104CrossRefPubMed
26.
go back to reference MacLeod JBA et al (2003) A comparison of the Kampala Trauma score (KTS) with the revised Trauma score (RTS), Injury Severity Score (ISS) and the TRISS method in a Ugandan Trauma registry. Eur J Trauma 29(6):392–398CrossRef MacLeod JBA et al (2003) A comparison of the Kampala Trauma score (KTS) with the revised Trauma score (RTS), Injury Severity Score (ISS) and the TRISS method in a Ugandan Trauma registry. Eur J Trauma 29(6):392–398CrossRef
27.
go back to reference O’Reilly GM et al (2010) Missing in action: a case study of the application of methods for dealing with missing data to trauma system benchmarking. Acad Emerg Med 17(10):1122–1129CrossRefPubMed O’Reilly GM et al (2010) Missing in action: a case study of the application of methods for dealing with missing data to trauma system benchmarking. Acad Emerg Med 17(10):1122–1129CrossRefPubMed
28.
go back to reference Trickey AW et al (2013) The impact of missing trauma data on predicting massive transfusion. J Trauma Acute Care Surg 75:S68–S74CrossRefPubMed Trickey AW et al (2013) The impact of missing trauma data on predicting massive transfusion. J Trauma Acute Care Surg 75:S68–S74CrossRefPubMed
Metadata
Title
30-Day In-hospital Trauma Mortality in Four Urban University Hospitals Using an Indian Trauma Registry
Authors
Nobhojit Roy
Martin Gerdin
Samarendra Ghosh
Amit Gupta
Vineet Kumar
Monty Khajanchi
Eric B. Schneider
Russell Gruen
Göran Tomson
Johan von Schreeb
Publication date
01-06-2016
Publisher
Springer International Publishing
Published in
World Journal of Surgery / Issue 6/2016
Print ISSN: 0364-2313
Electronic ISSN: 1432-2323
DOI
https://doi.org/10.1007/s00268-016-3452-y

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