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Chinese Journal of Clinicians(Electronic Edition) ›› 2024, Vol. 18 ›› Issue (06): 541-547. doi: 10.3877/cma.j.issn.1674-0785.2024.06.004

• Clinical Research • Previous Articles    

Reverse shock index multiplied by Glasgow coma scale score as a predictor of acute traumatic coagulopathy in elderly patients with severe trauma

Sheng Dong1, Shengkun Lang2, Xin Ge3,(), ShaoJun Sun4, Mingyu Xue5   

  1. 1. Department of Emergency Medicine, No. 9 People's Hospital Affiliated to Soochow University, Wuxi 214000, China;Wuxi Institute of Orthopedics, Wuxi 214000, China
    2. General Hospital of the People's Liberation Army of China, Beijing 100853, China
    3. Department of Emergency Medicine, No. 9 People's Hospital Affiliated to Soochow University, Wuxi 214000, China;Department of Intensive Care Medicine, No. 9 People's Hospital Affiliated to Soochow University, Wuxi 214000, China;Wuxi Institute of Orthopedics, Wuxi 214000, China
    4. Department of Blood Transfusion, No. 9 People's Hospital Affiliated to Soochow University, Wuxi 214000, China
    5. Department of Emergency Medicine, No. 9 People's Hospital Affiliated to Soochow University, Wuxi 214000, China
  • Received:2024-03-09 Online:2024-06-15 Published:2024-08-23
  • Contact: Xin Ge

Abstract:

Objective

To investigate the predictive value of the reverse shock index multiplied by the Glasgow coma scale score (rSIG) for acute traumatic coagulopathy (ATC) in elderly patients with severe trauma.

Methods

The clinical data of elderly patients with severe trauma hospitalized in the Department of Emergency Medicine, Wuxi No. 9 People's Hospital Affiliated to Soochow University from September 2020 to April 2023 were retrospectively collected and analyzed. The patients were divided into either an ATC group or a non-ATC group according to the presence of ATC or not. The clinical characteristics, laboratory results, and clinical outcomes of the two groups were compared. The predictive efficacy of rSIG for ATC was analyzed by using the receiver operating characteristic (ROC) curve and the area under the curve (AUC). The predictive efficacy of rSIG for ATC was then compared with that of shock index (SI), modified shock index (mSI), and age-based shock index (SIA) by the Delong test.

Results

A total of 193 patients were included, and ATC occurred in 21 (10.9%) patients. rSIG had the largest area under the ROC curve for predicting ATC [0.860; 95% confidence interval (CI): 0.782~0.939]. Comparing the predictive efficacy of rSIG for ATC was with that of other scoring systems using the Delong test showed that rSIG had the highest predictive ability for ATC, which was superior to SI, mSI, and SIA (P<0.05).

Conclusion

rSIG is a useful, rapid, and accurate predictor of ATC in elderly patients with severe trauma. It can be collected during the pre-hospital emergency stage, which makes it worth promoting and applying.

Key words: Acute traumatic coagulopathy, Trauma hemorrhage, Shock index, Predictive model

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