The addition of ROTEM parameter did not significantly improve the massive transfusion prediction in severe trauma patients-Reference-Cited by-同舟云学术

The addition of ROTEM parameter did not significantly improve the massive transfusion prediction in severe trauma patients

Published:2022-09-07 Issue: Volume: Page:
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Author:

Baik Dongyup¹,Yeom Seok-Ran¹,Park Sung-Wook¹,Cho Youngmo¹,Yang Wook Tae¹,Kwon Hoon²,Lee Jae Il³,Ko Jun-Kyeung³,Choi Hyuk Jin³,Huh Up⁴,Goh Tae Sik⁵,Song Chan-Hee⁶,Hwangbo Lee²,Wang Il Jae¹

Affiliation:

1. Department of Emergency Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan

2. Department of Radiology and Biomedical Research Institute, Pusan National University Hospital, Busan

3. Department of Neurosurgery and Biomedical Research Institute, Pusan National University Hospital, Busan

4. Department of Thoracic and Cardiovascular Surgery and Biomedical Research Institute, Pusan National University Hospital, Busan

5. Department of Orthopaedic Surgery and Biomedical Research Institute Pusan National University Hospital, Busan

6. Department of Biomedical Engineering, Graduate School, Pusan National University, Busan

Abstract

Abstract ObjectiveThis study aimed to assess whether rotational thermoelectrometry (ROTEM) data could improve the massive transfusion (MT) prediction model.MethodThis was a single-center, retrospective study. Patients who presented to the trauma center and underwent ROTEM between 2016 and 2020 were included. The primary and secondary outcomes were massive transfusion and in-hospital mortality, respectively. We constructed two models using multivariate logistic regression with backward conditional stepwise elimination (Model 1: without ROTEM parameter and Model 2: with ROTEM parameters). The area under the receiver operating characteristic curve (AUROC) was calculated to assess the predictive ability of the models.ResultIn total, 969 patients were included; 196 (20.2%) received MT. The in-hospital mortality rate was 14.1%. For MT, the AUROC was 0.854 (95% confidence interval [CI], 0.825-0.883) and 0.860 (95% CI, 0.832-0.888) for Model 1 and 2, respectively. For in-hospital mortality, the AUROC was 0.886 (95% CI, 0.857-0.915) and 0.889 (95% CI, 0.861-0.918) for Model 1 and 2, respectively. The AUROC values for Models 1 and 2 were not statistically different for either MT or in-hospital mortality.ConclusionWe found that addition of the ROTEM parameter did not significantly improve the predictive power of MT and in-hospital mortality in trauma patients.

Publisher

Research Square Platform LLC

Reference33 articles.

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