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ORIGINAL ARTICLE
Year : 2019  |  Volume : 8  |  Issue : 1  |  Page : 11-16

Correlation of dysoxia metabolism markers with trauma scoring systems in multiple trauma patients admitted to the emergency department: A cross-sectional observational study


1 Department of Emergency Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
2 Brain and Spinal Cord Injury Research Center, Tehran University of Medical Sciences, Tehran, Iran
3 Prehospital and Hospital Emergency Research Center; Department of Emergency Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran
4 Department of Emergency Medicine, Imam Khomeini Hospital; Prehospital and Hospital Emergency Research Center, Tehran University of Medical Sciences, Tehran, Iran

Correspondence Address:
Dr. Seyed Mojtaba Aghili
Prehospital and Hospital Emergency Research Center, Tehran University of Medical Sciences, Tehran; Department of Emergency Medicine, Imam Khomeini Complex Hospital, Tehran University of Medical Sciences, Tehran
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/atr.atr_88_18

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Background: All the trauma scoring systems (TSSs) have some limitations, and none is useful for patient monitoring. Recently, investigators have tried to modify the TSSs to improve their use. Aims: This study was conducted to determine whether any correlation exists between dysoxia metabolism markers (DMMs), including venous base deficit (BD) and HCO3level with different TSSs. Materials and Methods: In this cross-sectional study, all multiple trauma patients admitted to the emergency department were eligible. Blood samples for venous blood gas analysis were taken at the onset of resuscitation process. TSSs, including trauma index (TI), abbreviated injury score (AIS), Injury Severity Score (ISS), Revised Trauma Score (RTS), and Trauma Score-ISS (TRISS), were calculated for the patients. Spearman's rank correlation coefficient test was applied to find the association between the independent variables. Results: A total of 285 patients with a mean age of 33.37 ± 15.29 fulfilled the inclusion criteria, of which, 211 cases (74.0%) were male. Statistical analysis revealed that there was a correlation between TI and HCO3level (P = 0.0001, r = −0.37) and also TI and BD (P = 0.0001, r = −0.47). Furthermore, there was an indirect correlation between AIS and ISS with HCO3and BD levels and the direct correlation between RTS and TRISS with HCO3and BD levels. Conclusion: It is likely that there is a statistical correlation, although weak, between TSSs with DMMs, including HCO3and BD level.


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