Construction and preliminary trial test of a decision-making app for pre-hospital damage control resuscitation.

IF 1.8 4区 医学 Q2 ORTHOPEDICS Chinese Journal of Traumatology Pub Date : 2025-02-18 DOI:10.1016/j.cjtee.2024.11.001
Haoyang Yang, Wenqiong Du, Zhaowen Zong, Xin Zhong, Yijun Jia, Renqing Jiang, Chenglin Dai, Zhao Ye
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Abstract

Purpose: To construct a decision-making app for pre-hospital damage control resuscitation (PHDCR) for severely injured patients, and to make a preliminary trial test on the effectiveness and usability aspects of the constructed app.

Methods: Decision-making algorithms were first established by a thorough literature review, and were then used to be learned by computer with 3 kinds of text segmentation algorithms, i.e., dictionary-based segmentation, machine learning algorithms based on labeling, and deep learning algorithms based on understanding. B/S architecture mode and Spring Boot were used as a framework to construct the app. A total of 16 Grade-5 medical students were recruited to test the effectiveness and usability aspects of the app by using an animal model-based test on simulated PHDCR. Twelve adult Bama miniature pigs were subjected to penetrating abdominal injuries and were randomly assigned to the 16 students, who were randomly divided into 2 groups (n = 8 each): group A (decided on PHDCR by themselves) and group B (decided on PHDCR with the aid of the app). The students were asked to complete the PHDCR within 1 h, and then blood samples were taken and thromboelastography, routine coagulation test, blood cell count, and blood gas analysis were examined. The lab examination results along with the value of mean arterial pressure were used to compare the resuscitation effects between the 2 groups. Furthermore, a 4-statement-based post-test survey on a 5-point Likert scale was performed in group B students to test the usability aspects of the constructed app.

Results: With the above 3 kinds of text segmentation algorithm, B/S architecture mode, and Spring Boot as the development framework, the decision-making app for PHDCR was successfully constructed. The time to decide PHDCR was (28.8 ± 3.41) sec in group B, much shorter than that in group A (87.5 ± 8.53) sec (p < 0.001). The outcomes of animals treated by group B students were much better than that by group A students as indicated by higher mean arterial pressure, oxygen saturation and fibrinogen concentration and maximum amplitude, and lower R values in group B than those in group A. The post-test survey revealed that group B students gave a mean score of no less than 4 for all 4 statements.

Conclusion: A decision-making app for PHDCR was constructed in the present study and the preliminary trial test revealed that it could help to improve the resuscitation effect in animal models of penetrating abdominal injury.

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来源期刊
CiteScore
3.80
自引率
4.80%
发文量
1707
审稿时长
28 weeks
期刊介绍: Chinese Journal of Traumatology (CJT, ISSN 1008-1275) was launched in 1998 and is a peer-reviewed English journal authorized by Chinese Association of Trauma, Chinese Medical Association. It is multidisciplinary and designed to provide the most current and relevant information for both the clinical and basic research in the field of traumatic medicine. CJT primarily publishes expert forums, original papers, case reports and so on. Topics cover trauma system and management, surgical procedures, acute care, rehabilitation, post-traumatic complications, translational medicine, traffic medicine and other related areas. The journal especially emphasizes clinical application, technique, surgical video, guideline, recommendations for more effective surgical approaches.
期刊最新文献
Dorsal metacarpal artery perforator flaps for traumatic soft tissue defect of finger: A prospective anatomical and clinical study. Advances in rhabdomyolysis: A review of pathogenesis, diagnosis, and treatment. Comparison of hook plates vs. locking plates for Neer type IIB fractures of lateral end clavicle: A systematic review. Construction and preliminary trial test of a decision-making app for pre-hospital damage control resuscitation. Celebrating the life of Professor Wang Zhengguo.
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