Clinical Prediction Scoring Scheme for 24 h Mortality in Major Traumatic Adult Patients

Trauma referral audit impact assessment on the outcomes of injured patients via an interrupted time-series analysis: an 11-year before-and-after study of trauma cases at the Maharaj Nakorn Chiang Mai hospital, Thailand

BACKGROUND

Overcrowding in emergency departments (EDs) due to injured patients who do not need urgent treatment can lead to less efficacious healthcare outcomes for those that do. The trauma referral audit (TRA) was developed to support medical staff and ensure that the injured receive treatment timely and efficiently.

METHODS

Data on 14,399 injured patients referred to Maharaj Nakorn Chiang Mai Hospital between 2007 and 2017 were analyzed to examine the impact of the full TRA program implemented at the end of 2010. Injury severity was measured by using the injury severity score (ISS) whereby a score > 9 points infers severe injury. The impact of the establishment of TRA was examined using the trend of referrals and an interrupted time-series analysis of monthly mortality among patients with severe injury.

RESULTS

The median ISS of the patients in 2010 was 9 [4-18] and slightly increased to the highest score of 16 [8-25] in 2017. The proportion of patients with less severe injuries (ISS ≤ 9) decreased after the full implementation of TRA (55.4% in 2010 compared to 42.3% in 2017). Overall mortality was 6% (5.5% vs. 6.2% for the pre- and post-full TRA periods, respectively), and the mortality rate tended to increase from 4.77% in 2011 to 7.59 in 2017. The monthly mortality rate was estimated at 7.22% [95% confidence interval (CI) = 5.89-8.56%] with a significant increase of mortality in the post-full TRA period by 1.57% [0.16-2.98%] and in the annual trend of 0.11% [0.05-0.16%]. However, when considering severely injured patients only, the level and trend of the mortality rate were no different.

CONCLUSIONS

Although the TRA program could help reduce patient overcrowding in EDs, it does not reduce the risk of mortality. Revision of the referral and in-hospital care guidelines accounting for these relevant factors might lead to a decrease in mortality.

TRIAL REGISTRATION

Clinical trial number: Not applicable.

Exploration of potential biomarkers and therapeutic targets for trauma-related acute kidney injury

PURPOSE

Acute kidney injury (AKI) is one of the most common functional injuries observed in trauma patients. However, certain trauma medications may exacerbate renal injury. Therefore, the early detection of trauma-related AKI holds paramount importance in improving trauma prognosis.

METHODS

Qualified datasets were selected from public databases, and common differentially expressed genes related to trauma-induced AKI and hub genes were identified through enrichment analysis and the establishment of protein-protein interaction (PPI) networks. Additionally, the specificity of these hub genes was investigated using the sepsis dataset and conducted a comprehensive literature review to assess their plausibility. The raw data from both datasets were downloaded using R software (version 4.2.1) and processed with the "affy" package19 for correction and normalization.

RESULTS

Our analysis revealed 585 upregulated and 629 downregulated differentially expressed genes in the AKI dataset, along with 586 upregulated and 948 downregulated differentially expressed genes in the trauma dataset. Concurrently, the establishment of the PPI network and subsequent topological analysis highlighted key hub genes, including CD44, CD163, TIMP metallopeptidase inhibitor 1, cytochrome b-245 beta chain, versican, membrane spanning 4-domains A4A, mitogen-activated protein kinase 14, and early growth response 1. Notably, their receiver operating characteristic curves displayed areas exceeding 75%, indicating good diagnostic performance. Moreover, our findings postulated a unique molecular mechanism underlying trauma-related AKI.

CONCLUSION

This study presents an alternative strategy for the early diagnosis and treatment of trauma-related AKI, based on the identification of potential biomarkers and therapeutic targets. Additionally, this study provides theoretical references for elucidating the mechanisms of trauma-related AKI.

Factors associated with 30-day in-hospital mortality in critically ill adult patients receiving extracorporeal membrane oxygenation: A retrospective cohort study

OBJECTIVE

To identify factors associated with the 30-day in-hospital mortality rate among adult patients requiring extracorporeal membrane oxygenation (ECMO) in intensive care units.

RESEARCH METHODOLOGY

Retrospective cohort study including 148 patients who underwent ECMO for at least 48 h between March 2010 and August 2021. The patients were divided into survivors and non-survivors based on their 30-day in-hospital survival. We obtained the sociodemographic information and pre- and post-ECMO data from electronic medical records. Kaplan-Meier survival curves and Multivariate Cox proportional hazards regression were used to analyse the data.

SETTING

A tertiary-care university hospital in South Korea.

MAIN OUTCOME MEASURES

The 30-day in-hospital mortality rate was the principal outcome measure.

RESULTS

The 30-day in-hospital mortality rate was 49.3% (n = 73). Kaplan-Meier analysis demonstrated that the duration of ECMO support in the 50th percentile of surviving patients was 13 days. Multivariable Cox regression analysis showed that new-onset renal failure, lower mean arterial pressure, and ECMO weaning failure were associated with an increased 30-day in-hospital mortality risk among patients who received ECMO. Subgroup analysis also revealed a significant association between weaning failure and 30-day in-hospital mortality after adjusting for covariates in patients undergoing veno-arterial ECMO.

CONCLUSION

Close monitoring of post-ECMO renal function and mean arterial pressure is required to minimize the risk of 30-day in-hospital mortality, especially in adults within the first two weeks of ECMO initiation. Moreover, the success of ECMO weaning should be optimized by collaboration within the ECMO team.

IMPLICATIONS FOR CLINICAL PRACTICE

Critical care nurses should pay close attention to patients' response to weaning trials as well as alternations in renal function and mean arterial pressure during ECMO support. Furthermore, developing nursing care guidelines for adult patients receiving ECMO and standardized training programs for nurses in intensive care, are required in Korea.

Outcomes of Emergency Trauma Patients After the Implementation of Web Application Operating Systems

PURPOSE

Trauma has significant impacts on the livelihoods and well-being of patients. Prompt emergency, medical, and nursing care is the key to reducing mortality rates. Digital platforms have become important for patient care. This research aimed to evaluate patient outcomes after implementing a novel web application operating system in trauma care.

METHODS

A descriptive comparative study was conducted on trauma patients. The patients were divided into two groups: those who used the developed application (n = 70) and those who did not (n = 70). The patients' characteristics, the time of the trauma team's arrival at the emergency department (ED) and the length of stay in the ED, and patients' outcomes were collected from electronic medical records and the application database. A statistical analysis was performed to evaluate this data. Sixty registered nurses who used the application completed the survey on the feasibility of the application.

RESULTS

The activated trauma intervals for the non-application-used group and the application-used group were 5.0 ± 1.1 and 3.1 ± 0.4 minutes, respectively (p = .010). The length of stay in the ED for the non-application-used group and the application-used group were 30.1 ± 5.1 and 18.3 ± 6.2 minutes, respectively. A high level of agreement confirms the feasibility of the application.

CONCLUSIONS

This application improves patient outcomes in terms of length of stay. This mobile application can improve the cooperation and communication and efficacy of the trauma care team.

Mortality Risk Factors of Severely Injured Polytrauma Patients (Prehospital Mortality Prediction Score)

The aim of this study was to analyze the mortality of polytrauma patients and identify prediction parameters. A further aim was to create from the results a score for the prehospital predictive evaluation of 30-day survival. The study was conducted with a retrospective, observational design and was carried out unicentrically at a Level 1 Trauma Center. During the 4-year investigation period, patients with an Injury Severity Score (ISS) ≥ 16 were examined and their demographic basic data, laboratory values, and vital parameters were recorded. The mortality data analysis was performed using Kaplan-Meier Analysis and Log-Rank tests. Cox regressions were carried out to determine influencing factors and Receiver Operating Characteristic (ROC) curves were plotted to establish limit values for potential influencing factors. All statistical tests were conducted at a significance level of p ≤ 0.05. Coronary Heart Disease (CHD), cardiopulmonary resuscitation (CPR), age at admission, sex, and Glasgow Coma Scale (GCS) had a significant impact on the survival of polytrauma patients. The identified prediction parameters were combined with the shock index (SI). The generated score showed a sensitivity of 93.1% and a specificity of 73.3% in predicting the mortality risk. The study was able to identify significant influencing prehospital risk factors on 30-day survival after polytrauma. A score created from these parameters showed higher specificity and sensitivity than other prediction scores. Further studies with a larger number of participants and the inclusion of slightly injured patients could verify these findings.