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ORIGINAL RESEARCH article

Front. Physiol.
Sec. Clinical and Translational Physiology
Volume 15 - 2024 | doi: 10.3389/fphys.2024.1486160

Association Between Nutritional Status, Injury Severity, and Physiological Responses in Trauma Patients

Provisionally accepted
Linguo Niu Linguo Niu 1*Yongning Zhang Yongning Zhang 1Weihong Dai Weihong Dai 2Rixing Wang Rixing Wang 2
  • 1 Hainan Medical University, Haikou, China
  • 2 Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China

The final, formatted version of the article will be published soon.

    Purpose: To evaluate the predictive value of the Controlling Nutritional Status (CONUT) score and Injury Severity Score (ISS) in assessing physiological abnormalities and outcomes in trauma patients. Methods: A retrospective analysis was conducted on 354 trauma patients. Physiological parameters were assessed, including cardiovascular function, inflammatory response, liver and kidney function, and nutritional status. The CONUT score and ISS were calculated for each patient. Binary logistic regression was used to identify independent predictors of trauma severity. Receiver operating characteristic (ROC) curve analysis evaluated the predictive accuracy of the CONUT and ISS scores for adverse outcomes. Results: Severely injured patients exhibited more significant abnormalities in cardiovascular function, inflammatory response, liver and kidney function, and nutritional status compared to those with minor injuries. These patients had significantly higher CONUT scores. Logistic regression analysis identified white blood cell count, hemoglobin, and CONUT score as independent predictors of trauma severity. ROC analysis showed that both CONUT and ISS scores effectively predicted adverse outcomes, with ISS demonstrating better specificity. Conclusion: The CONUT and ISS scores are effective tools for predicting physiological abnormalities and adverse outcomes in trauma patients. Incorporating these scores into clinical practice may enhance prognostic assessments and improve management strategies for trauma patients.

    Keywords: Trauma severity, CONUT score, ISS, Physiological abnormalities, Predictive assessment, Logistic regression, ROC analysis

    Received: 25 Aug 2024; Accepted: 17 Oct 2024.

    Copyright: © 2024 Niu, Zhang, Dai and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Linguo Niu, Hainan Medical University, Haikou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.