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Objective <p>To examine the determinants of hospitalisation outcomes in patients with traumatic pelvic fractures accompanied by shock through the establishment of a retrospective cohort study. analyseanalyse the influencing factors of hospitalisation.</p> Methods <p>To examine the factors influencing the outcome of hospitalisation treatment for patients with traumatic pelvic fracture combined with shock, we retrospectively analysed the clinical data of 134 patients in our hospital from July 2021 to July 2024. We classified the patients into survival and death groups based on the outcome of hospitalisation, gathered and compared the pertinent data of the research subjects, and performed logistic regression analysis for the items with differences. We classified.</p> Results <p>The covariance analysis showed that there was no covariance among Glasgow Coma Score (GCS), Shock Index (SI), Mean Arterial Pressure (MAP), Blood Lactic Acid (Lac), and Fibrinogen (Fib) levels in 134 patients with traumatic pelvic fracture combined with shock, of whom 108 survived hospitalization (80.60%) and were included in the survival group, and 26 patients died (19.40%) and were included in the death group; Plotting the receiver operating curve (ROC) revealed that each of the factors above and the joint prediction of Area Under Curve (AUC) values were 0.689, 0.673, 0.832, 0.681, 0.670, and 0.930, respectively. The logistic regression equation also showed that GCS score, SI index, MAP, Lac, and Fib levels were all significant factors in the death of hospitalised patients with traumatic pelvic fracture combined with shock.</p> Conclusion <p>GCS score, SI index, MAP, Lac and Fib levels are all influential factors in the hospitalization outcome of patients with traumatic pelvic fracture combined with shock, and their joint prediction accuracy is high, and the clinic can combine the above factors to strengthen the risk monitoring, and formulate the relevant program to improve the hospitalization outcome of patients.</p>

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Analysis of factors associated with the outcome of hospitalisation in patients with traumatic pelvic fracture combined with shock

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月30日

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  • Yue Guo,
  • Peng Zhang,
  • Jian Huang,
  • Hongpeng Yang

摘要

Objective

To examine the determinants of hospitalisation outcomes in patients with traumatic pelvic fractures accompanied by shock through the establishment of a retrospective cohort study. analyseanalyse the influencing factors of hospitalisation.

Methods

To examine the factors influencing the outcome of hospitalisation treatment for patients with traumatic pelvic fracture combined with shock, we retrospectively analysed the clinical data of 134 patients in our hospital from July 2021 to July 2024. We classified the patients into survival and death groups based on the outcome of hospitalisation, gathered and compared the pertinent data of the research subjects, and performed logistic regression analysis for the items with differences. We classified.

Results

The covariance analysis showed that there was no covariance among Glasgow Coma Score (GCS), Shock Index (SI), Mean Arterial Pressure (MAP), Blood Lactic Acid (Lac), and Fibrinogen (Fib) levels in 134 patients with traumatic pelvic fracture combined with shock, of whom 108 survived hospitalization (80.60%) and were included in the survival group, and 26 patients died (19.40%) and were included in the death group; Plotting the receiver operating curve (ROC) revealed that each of the factors above and the joint prediction of Area Under Curve (AUC) values were 0.689, 0.673, 0.832, 0.681, 0.670, and 0.930, respectively. The logistic regression equation also showed that GCS score, SI index, MAP, Lac, and Fib levels were all significant factors in the death of hospitalised patients with traumatic pelvic fracture combined with shock.

Conclusion

GCS score, SI index, MAP, Lac and Fib levels are all influential factors in the hospitalization outcome of patients with traumatic pelvic fracture combined with shock, and their joint prediction accuracy is high, and the clinic can combine the above factors to strengthen the risk monitoring, and formulate the relevant program to improve the hospitalization outcome of patients.