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Various prediction scores have been developed to predict mortality in trauma patients, such as the shock index (SI), modified SI (mSI), age-adjusted SI (aSI), and the shock index (SI) multiplied by the alert/verbal/painful/unresponsive (AVPU) score (SIAVPU). The SIAVPU is a novel scoring system but its prediction accuracy for trauma outcomes remains in need of further validation. Therefore, we investigated the accuracy of four scoring systems, including SI, mSI, aSI, and SIAVPU, in predicting mortality, admission to the intensive care unit (ICU), and prolonged hospital length of stay ≥ 30 days (LOS). This retrospective multicenter study used data from the Tzu Chi Hospital trauma database. The area under the receiver operating characteristic curve (AUROC) was determined for each outcome to assess their discrimination capabilities and comparing by Delong's test. Subgroup analyses were conducted to investigate the prediction accuracy of the SIAVPU in different patient populations. In total, 5355 patients were included in the analysis. The median of SIAVPU were significantly higher among patients at those with major injury (1.47 vs 0.63), those admitted to the ICU (0.73 vs 0.62), those with prolonged hospital LOS≥ 30 days (0.83 vs 0.64), and those with mortality (1.08 vs 0.64). The AUROC of the SIAVPU was significantly higher than that of the SI, mSI, and aSI for 24-h mortality (AUROC: 0.845 vs 0.533, 0.540, and 0.678), 3-day mortality (AUROC: 0.803 vs 0.513, 0.524, and 0.688), 7-day mortality (AUROC: 0.755 vs 0.494, 0.505, and 0.648), in-hospital mortality (AUROC: 0.722 vs 0.510, 0.524, and 0.667), ICU admission (AUROC: 0.635 vs 0.547, 0.551, and 0.563). At the optimal cutoff value of 0.9, the SIAVPU had an accuracy of 82.2% for predicting 24-h mortality, 82.8% for predicting 3-day mortality, of 82.8% for predicting 7-day mortality, of 82.5% for predicting in-hospital mortality, of 73.9% for predicting Intensive Care Unit (ICU) admission, and of 81.7% for predicting prolonged hospital LOS ≥30 days. Our results reveal that SIAVPU has better accuracy than the SI, mSI, and aSI for predicting 24-h, 3-day, 7-day, and in-hospital mortality; ICU admission; and prolonged hospital LOS ≥30 days among patients with traumatic injury. [ABSTRACT FROM AUTHOR]

Background and Objectives: The Taiwan Triage and Acuity Scale (TTAS) is reliable for triaging patients in emergency departments in Taiwan; however, most triage decisions are still based on chief complaints. The reverse-shock index (SI) multiplied by the simplified motor score (rSI-sMS) is a more comprehensive approach to triage that combines the SI and a modified consciousness assessment. We investigated the combination of the TTAS and rSI-sMS for triage compared with either parameter alone as well as the SI and modified SI. Materials and Methods: We analyzed 13,144 patients with trauma from the Taipei Tzu Chi Trauma Database. We investigated the prioritization performance of the TTAS, rSI-sMS, and their combination. A subgroup analysis was performed to evaluate the trends in all clinical outcomes for different rSI-sMS values. The sensitivity and specificity of rSI-sMS were investigated at a cutoff value of 4 (based on previous study and the highest score of the Youden Index) in predicting injury severity clinical outcomes under the TTAS system were also investigated. Results: Compared with patients in triage level III, those in triage levels I and II had higher odds ratios for major injury (as indicated by revised trauma score < 7 and injury severity score [ISS] ≥ 16), intensive care unit (ICU) admission, prolonged ICU stay (≥14 days), prolonged hospital stay (≥30 days), and mortality. In all three triage levels, the rSI-sMS < 4 group had severe injury and worse outcomes than the rSI-sMS ≥ 4 group. The TTAS and rSI-sMS had higher area under the receiver operating characteristic curves (AUROCs) for mortality, ICU admission, prolonged ICU stay, and prolonged hospital stay than the SI and modified SI. The combination of the TTAS and rSI-sMS had the highest AUROC for all clinical outcomes. The prediction performance of rSI-sMS < 4 for major injury (ISS ≥ 16) exhibited 81.49% specificity in triage levels I and II and 87.6% specificity in triage level III. The specificity for mortality was 79.2% in triage levels I and II and 87.4% in triage level III. Conclusions: The combination of rSI-sMS and the TTAS yielded superior prioritization performance to TTAS alone. The integration of rSI-sMS and TTAS effectively enhances the efficiency and accuracy of identifying trauma patients at a high risk of mortality. [ABSTRACT FROM AUTHOR]

Objectives: Trauma is one of the leading causes of death and its incidence increases annually. The "weekend effect" and "holiday season effect" on traumatic injury mortality remain controversial, whereby traumatic injury patients admitted during weekends and/or holiday season have a higher risk of in-hospital death. The present study is aimed to explore the association between "weekend effect" and "holiday season effect" and mortality in traumatic injury population. Materials and Methods: This retrospective descriptive study included patients from the Taipei Tzu Chi Hospital Trauma Database between January 2009 and June 2019. The exclusion criterion was age of < 20 years. The primary outcome was the in-hospital mortality rate. The secondary outcomes included intensive care unit (ICU) admission, ICU re-admission, length of stay (LOS) in the ICU, ICU admission duration ≥ 14 days, total hospital LOS, total hospital LOS ≥ 14 days, need for surgery, and re-operation rate. Results: In this study, 11,946 patients were included in the analysis, and 8143 (68.2%) patients were admitted on weekdays, 3050 (25.5%) on weekends, and 753 (6.3%) on holidays. Multivariable logistic regression revealed that the admission day was not associated with an increased risk of in-hospital mortality. In other clinical outcome analyses, we found no significant increase in the risk of in-hospital mortality, ICU admission, ICU LOS ≥ 14 days, or total LOS ≥ 14 days in the weekend and holiday season groups. The subgroup analysis showed that the association between holiday season admission and in-hospital mortality was noted only in the elderly and shock condition populations. The holiday season duration did not differ in terms of in-hospital mortality. Longer holiday season duration was also not associated with an increased risk of in-hospital mortality, ICU LOS ≥14 days, and total LOS ≥14 days. Conclusion: In this study, we did not find any evidence that weekend and holiday season admissions in the traumatic injury population were associated with an increased risk of mortality. In other clinical outcome analyses, there was no significant increase in the risk of in-hospital mortality, ICU admission, ICU LOS ≥ 14 days, or total LOS ≥ 14 days in the weekend and holiday season groups. [ABSTRACT FROM AUTHOR]

Objectives: Trauma is one of the leading causes of death and its incidence increases annually. The "weekend effect" and "holiday season effect" on traumatic injury mortality remain controversial, whereby traumatic injury patients admitted during weekends and/or holiday season have a higher risk of in-hospital death. The present study is aimed to explore the association between "weekend effect" and "holiday season effect" and mortality in traumatic injury population., Materials and Methods: This retrospective descriptive study included patients from the Taipei Tzu Chi Hospital Trauma Database between January 2009 and June 2019. The exclusion criterion was age of < 20 years. The primary outcome was the in-hospital mortality rate. The secondary outcomes included intensive care unit (ICU) admission, ICU re-admission, length of stay (LOS) in the ICU, ICU admission duration ≥ 14 days, total hospital LOS, total hospital LOS ≥ 14 days, need for surgery, and re-operation rate., Results: In this study, 11,946 patients were included in the analysis, and 8143 (68.2%) patients were admitted on weekdays, 3050 (25.5%) on weekends, and 753 (6.3%) on holidays. Multivariable logistic regression revealed that the admission day was not associated with an increased risk of in-hospital mortality. In other clinical outcome analyses, we found no significant increase in the risk of in-hospital mortality, ICU admission, ICU LOS ≥ 14 days, or total LOS ≥ 14 days in the weekend and holiday season groups. The subgroup analysis showed that the association between holiday season admission and in-hospital mortality was noted only in the elderly and shock condition populations. The holiday season duration did not differ in terms of in-hospital mortality. Longer holiday season duration was also not associated with an increased risk of in-hospital mortality, ICU LOS ≥14 days, and total LOS ≥14 days., Conclusion: In this study, we did not find any evidence that weekend and holiday season admissions in the traumatic injury population were associated with an increased risk of mortality. In other clinical outcome analyses, there was no significant increase in the risk of in-hospital mortality, ICU admission, ICU LOS ≥ 14 days, or total LOS ≥ 14 days in the weekend and holiday season groups., Competing Interests: Dr. Giou-Teng Yiang, an editorial board member at Tzu Chi Medical Journal, had no role in the peer review process of or decision to publish this article. The other authors declared no conflicts of interest in writing this paper., (Copyright: © 2022 Tzu Chi Medical Journal.)