Literature DB >> 29967850

Can APACHE II, SOFA, ISS, and RTS Severity Scores be used to Predict Septic Complications in Multiple Trauma Patients?

Sebastian Trancă1, Cristina Petrișor1, Natalia Hagău1, Constantin Ciuce2.   

Abstract

BACKGROUND: Physiological composite scores are used to predict mortality in multiple trauma patients. Sepsis is the leading cause of late mortality in trauma victims brought about by immune suppression due to homeostasis dysregulation.
OBJECTIVE: To determine whether APACHE II, SOFA, ISS and RTS scores can predict the occurrence of sepsis in multiple trauma patients.
METHODS: APACHE II, SOFA, ISS, and RTS scores were calculated during the first twenty-four hours after the injury for sixty-four adult poly-traumatic patients. The occurrence of infectious complications was investigated over a fourteen-day period. The infection-free rates for the multiple trauma patients were considered as end-points in the Kaplan-Meier plot analysis.
RESULTS: For SOFA, a cutoff score of 4 points was identified as a predictor of the occurrence of sepsis, with 89% of the patients with SOFA<4 being infection-free, while 37% of those with SOFA>4 were infection-free (p<0.01). None of the patients with APACHE II≤5 points developed infections. Eighty-four percent of patients with APACHE II scores of 5-10 did not develop sepsis, while 49% with APACHE II≥11 were infection-free (p<0.01). A cutoff of 7 points was found to be most discriminative for RTS. Eighty-eight percent of the patients with RTS≤7 and 43% of those with RTS<7 were infection-free (p<0.01). Eighty-eight percent of patients with ISS≥22 did not develop sepsis and 56% with ISS>22 did not develop sepsis (p<0.01).
CONCLUSION: APACHE II, SOFA, ISS, and RTS functional severity scores can predict mortality as well as the occurrence of sepsis in multiple trauma patients.

Entities:  

Keywords:  intensive care unit; sepsis; trauma

Year:  2016        PMID: 29967850      PMCID: PMC5953244          DOI: 10.1515/jccm-2016-0019

Source DB:  PubMed          Journal:  J Crit Care Med (Targu Mures)        ISSN: 2393-1817


  18 in total

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3.  Changes of procalcitonin level in multiple trauma patients.

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4.  Sepsis biomarkers in polytrauma patients.

Authors:  Charles A Adams
Journal:  Crit Care Clin       Date:  2011-04       Impact factor: 3.598

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Authors:  Archit Agarwal; Atul Agrawal; Rajesh Maheshwari
Journal:  J Clin Diagn Res       Date:  2015-07-01

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Journal:  Eur J Trauma Emerg Surg       Date:  2012-09-18       Impact factor: 3.693

8.  Usefulness of procalcitonin for diagnosis of sepsis in the intensive care unit.

Authors:  Canan BalcI; Hülya Sungurtekin; Ercan Gürses; Ugur Sungurtekin; Bünyamin Kaptanoglu
Journal:  Crit Care       Date:  2002-10-30       Impact factor: 9.097

9.  Procalcitonin and C-reactive protein during systemic inflammatory response syndrome, sepsis and organ dysfunction.

Authors:  Gian Paolo Castelli; Claudio Pognani; Michael Meisner; Antonio Stuani; Daniela Bellomi; Laura Sgarbi
Journal:  Crit Care       Date:  2004-06-10       Impact factor: 9.097

10.  Procalcitonin as a predictor of sepsis and outcome in severe trauma patients: a prospective study.

Authors:  Nonika Rajkumari; Purva Mathur; Satyapriya Sharma; Babita Gupta; Sanjeev Bhoi; Mahesh C Misra
Journal:  J Lab Physicians       Date:  2013-07
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  5 in total

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Authors:  M Ahmed Ali; E S Mikhael; A Abdelkader; L Mansour; R El Essawy; R El Sayed; A Eladawy; A Mukhtar
Journal:  Eur J Trauma Emerg Surg       Date:  2017-09-15       Impact factor: 3.693

2.  Denver and Marshall scores successfully predict susceptibility to multiple independent infections in trauma patients.

Authors:  Marianna Almpani; Amy Tsurumi; Thomas Peponis; Yashoda V Dhole; Laura F Goodfield; Ronald G Tompkins; Laurence G Rahme
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3.  Hemodynamic Predictors for Sepsis-Induced Acute Kidney Injury: A Preliminary Study.

Authors:  Oana Antal; Elena Ștefănescu; Monica Mleșnițe; Andrei Mihai Bălan; Alexandra Caziuc; Natalia Hagău
Journal:  J Clin Med       Date:  2020-01-06       Impact factor: 4.241

4.  Comparison the Ability of Quantitative Trauma Severity Assessment Methods Based On GAP, RTS, and ISS Criteria in Determining the Prognosis of Accidental Patients.

Authors:  Behrang Khafafi; Omid Garkaz; Saeed Golfiroozi; Sahar Paryab; Laia Ashouri; Sevda Daei; Hamidreza Mehryar; Mousa Ghelichi-Ghojogh
Journal:  Bull Emerg Trauma       Date:  2022-07

5.  Predictive performance of SOFA and qSOFA for in-hospital mortality in severe novel coronavirus disease.

Authors:  Sijia Liu; Ni Yao; Yanru Qiu; Chengqi He
Journal:  Am J Emerg Med       Date:  2020-07-12       Impact factor: 2.469

  5 in total

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