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Updated: Jun 28, 2025

Fixed Volume or Fixed Pressure: A Murine Model of Hemorrhagic Shock
Published on: June 6, 2011
[Risk factors for acute respiratory distress syndrome in patients with traumatic hemorrhagic shock]
Xiaoqian Si1,2, Xiujuan Zhao1, Fengxue Zhu1
1Department of Critical Care Medicine, Trauma Medicine Center, Peking University People's Hospital, Beijing 100044, China.
Objective:
To investigate the risk factors of acute respiratory distress syndrome (ARDS) after traumatic hemorrhagic shock.
Methods:
This was a retrospective cohort study of 314 patients with traumatic hemorrhagic shock at Trauma Medicine Center, Peking University People's Hospital from December 2012 to August 2021, including 152 male patients and 162 female patients, with a median age of 63.00 (49.75-82.00) years. The demographic data, past medical history, injury assessment, vital signs, laboratory examination and other indicators of these patients during hospitalization were recorded. These patients were divided into two groups, ARDS group (n=89) and non-ARDS group (n=225) according to whether there was ARDS within 7 d of admission. Risk factors for ARDS were identified using Logistic regression. The C-statistic expressed as a percentage [area under curve (AUC) of the receiver operating characteristic (ROC) curve] was used to assess the discrimination of the model.
Results:
The incidence of ARDS after traumatic hemorrhagic shock was 28.34%. Finally, Logistic regression model showed that the independent risk factors of ARDS after traumatic hemorrhagic shock included male, history of coronary heart disease, high acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, road traffic accident and elevated troponin Ⅰ. The OR and 95% confidence intervals (CI) were 4.01 (95%CI: 1.75-9.20), 5.22 (95%CI: 1.29-21.08), 1.07 (95%CI: 1.02-1.57), 2.53 (95%CI: 1.21-5.28), and 1.26 (95%CI: 1.02-1.57), respectively; the P values were 0.001, 0.020, 0.009, 0.014, and 0.034, respectively. The ROC curve was used to analyze the value of each risk factor in predicting ARDS. It was found that the AUC for predicting ARDS after traumatic hemorrhagic shock was 0.59 (95%CI: 0.51-0.68) for male, 0.55 (95%CI: 0.46-0.64) for history of coronary heart disease, 0.65 (95%CI: 0.57-0.73) for APACHE Ⅱ score, 0.58 (95%CI: 0.50-0.67) for road traffic accident, and 0.73 (95%CI: 0.66-0.80) for elevated troponin Ⅰ, with an overall predictive value of 0.81 (95%CI: 0.74-0.88).
Conclusion:
The incidence of ARDS in patients with traumatic hemorrhagic shock is high, and male, history of coronary heart disease, high APACHE Ⅱ score, road traffic accident and elevated troponin Ⅰ are independent risk factors for ARDS after traumatic hemorrhagic shock. Timely monitoring these indicators is conducive to early detection and treatment of ARDS after traumatic hemorrhagic shock.
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