Association between prehospital field to emergency department delta shock index and in-hospital mortality in patients with torso and extremity trauma: A multinational, observational study

Delta shock index predicts injury severity, interventions, and outcomes in trauma patients: A 10-year retrospective observational study

BACKGROUND

Most trauma occurs among young male subjects in Qatar. We examined the predictive values of the delta shock index (DSI), defined as the change in the shock index (SI) value from the scene to the initial reading in the emergency unit (i.e., subtracting the calculated SI at admission from SI at the scene), at a Level 1 trauma center.

AIM

To explore whether high DSI is associated with severe injuries, more interventions, and worse outcomes [i.e., blood transfusion, exploratory laparotomy, ventilator-associated pneumonia, hospital length of stay (HLOS), and in-hospital mortality] in trauma patients.

METHODS

A retrospective analysis was conducted after data were extracted from the National Trauma Registry between 2011 and 2021. Patients were grouped based on DSI as low (≤ 0.1) or high (> 0.1). Data were analyzed and compared using χ 2 and Student's t-tests. Correlations between DSI and injury severity score (ISS), revised trauma score (RTS), abbreviated injury scale (AIS), Glasgow coma scale (GCS), trauma score-ISS (TRISS), HLOS, and number of transfused blood units (NTBU), were assessed using correlation coefficient analysis. The diagnostic testing accuracy for predicting mortality was determined using the validity measures of the DSI. Logistic regression analysis was performed to identify predictors of mortality.

RESULTS

This analysis included 13212 patients with a mean age of 33 ± 14 years, and 24% had a high DSI. Males accounted for 91% of the study population. The trauma activation level was higher in patients with a high DSI (38% vs 15%, P = 0.001). DSI correlated with RTS (r = -0.30), TRISS (r = -0.30), NTBU (r = 0.20), GCS (r = -0.24), ISS (r = 0.22), and HLOS (r = 0.14) (P = 0.001 for all). High DSI was associated with significantly higher rates of intubation, laparotomy, ventilator-associated pneumonia, massive transfusion activation, and mortality than low DSI. For mortality prediction, a high DSI had better specificity, negative predictive value, and negative likelihood ratio (77%, 99%, and 0.49%, respectively). After adjusting for age, emergency medical services time, GCS score, and ISS, multivariable regression analysis showed that DSI was an independent predictor of mortality (odds ratio = 1.9; 95% confidence interval: 1.35-2.76).

CONCLUSION

In addition to sex-biased observations, almost one-quarter of the study cohort had a higher DSI and were mostly young. High DSI correlated significantly with the other injury severity scores, which require more time and imaging to be ready to use. Therefore, DSI is a practical, simple bedside tool for triaging and prognosis in young patients with trauma.

Prehospital Delta Shock Index Predicts Mortality and Need for Life Saving Interventions in Trauma Patients

OBJECTIVES

The delta shock index (ΔSI), defined as the change in shock index (SI) over time, is associated with hospital morbidity and mortality, but prehospital studies about ΔSI are limited. We investigate the association of prehospital ΔSI with mortality and resource utilization, hypothesizing that increases in SI among field trauma patients are associated with increased mortality and blood product transfusion.

METHODS

We performed a multicenter, retrospective, observational study from the Linking Investigators in Trauma and Emergency Services (LITES) network. We obtained data from January 2017 to June 2021. We fit logistic regression models to evaluate the association between an increase ΔSI > 0.1 and 28-day mortality and blood product transfusion within 4 h of emergency department (ED) arrival. We used negative binomial models to evaluate the association between ΔSI > 0.1 and days in hospital, intensive care unit (ICU), and on ventilator (up to 28 days).

RESULTS

We identified 33,219 prehospital patients. We excluded burn patients and those without documented prehospital or ED heart rate or blood pressure, resulting in 30,511 cases for analysis. In adjusted analysis for the primary outcome of 28-day mortality, patients who had a ΔSI > 0.1 based on initial vital signs were 31% more likely to die (adjusted odds ratio (AOR) of 1.31, 95% CI 1.21-1.41) compared to those patients who had a ΔSI ≤0.1. These patients also spent 16% more days in hospital (adjusted incident rate ratio (AIRR) 1.16, 95% CI 1.14-1.19), 34% more days in ICU (AIRR 1.34, 95% CI 1.28-1.41), and 61% more days on ventilator (ARR 1.61, 95% CI 1.47-1.75). Additionally, patients with a ΔSI > 0.1 had higher odds of receiving blood products (AOR 2.00, 95% CI 1.88-2.12) within 4 h of ED arrival. Models fit excluding hypotensive patients performed similarly.

CONCLUSIONS

An increase of greater than 0.1 in the ΔSI was associated with increased 28-day mortality; increased days in hospital, in ICU, and on ventilator; and increased need for blood product transfusion within 4 h of ED arrival. This association held true for initially normotensive patients. Validation and implementation are needed to incorporate ΔSI into prehospital and ED triage.

Impact of Pre-Hospital Intravenous Infusion on Physiological Parameters in Severe Trauma Patients

Introduction The relationship between pre-hospital intravenous (IV) infusions administered by emergency life-saving technicians (ELSTs) to trauma patients in shock and the resulting variability in their vital signs before hospital arrival remains unclear. In 2014, Japan approved the use of lactated Ringer's solution via IV by ELSTs for patients aged 15 and older with non-cardiac arrest and shock symptoms not caused by cardiogenic factors. However, the impact of pre-hospital IV infusions on physiological parameters in severely injured trauma patients is still unknown. Aim The aim of this study is to investigate the impact of pre-hospital IV infusions administered by ELSTs on trauma patients with shock, focusing on the resulting variations in the shock index and other physiological parameters in the pre-hospital setting. Methods This retrospective cohort study included patients registered in the Japan Trauma Data Bank who were transported by ambulance from the pre-hospital to the hospital by ELST between 2019 and 2021. First, the data were categorized based on pre-hospital IV access as either IV (+) or IV (-). Propensity score matching was then performed to estimate the average treatment effect for patients receiving IV (+). The primary endpoint was the delta shock index (DSI), while secondary endpoints included systolic blood pressure (sBP), heart rate (HR), and respiratory rate (RR). Welch's t-test was used to estimate mean differences and 95% CIs, and Cohen's d was calculated to measure effect sizes. Results A total of 88,817 patients were enrolled in the study, with 19,793 included in the analysis. Of these, 778 patients were matched for comparison. IV access (+) was not significantly associated with changes in the DSI, showing a small effect size (-0.09 vs. -0.06; difference [95% CI]: -0.04 [-0.08 to 0.00]). Additionally, IV (+) was not significantly associated with differences in HR (-0.23 vs. 1.16; difference [95% CI]: -1.40 [-3.59 to 0.80]) or RR (-1.95 vs. -1.08; difference [95% CI]: -0.87 [-1.83 to 0.09]), both of which demonstrated small effect sizes. However, IV (+) was significantly associated with an increase in sBP difference, although the effect size remained small (13.22 vs. 8.73; difference [95% CI]: 4.49 [0.35 to 8.62]). Conclusions IV access was not directly associated with variations in the shock index in the pre-hospital setting; however, it significantly increased sBP. Future studies should include the volume of IV infusion to further elucidate these findings.

Field trauma triage criteria associated with need for dedicated trauma center care: a single-center retrospective cohort study

INTRODUCTION

Direct transport from the scene of injury to a trauma centre reduces saves lives. In Ontario, paramedics use the field trauma triage standard (FTTS) to determine if a patient meets trauma bypass criteria. Recent studies have questioned the efficacy of the FTTS in identifying severely injured patients. The objective of this study was to determine the predictive performance of the FTTS on the need for trauma center care in patients who were transported to a trauma center.

METHODS

This was a single-center health records study of patients transported by ambulance directly to a level 1 trauma center. Hospital based trauma center need and injury severity score-based need were defined. Bivariate associations with one or more FTTS criteria were tested using the Wilcoxon two-sample test for continuous variables, and the Chi-square or Fisher's exact test for categorical indicators. The sensitivity and specificity of each category of the FTTS were calculated.

RESULTS

There were 1427 patients included in the study, with 76% men, mean age of 40, and 76% had a blunt mechanism. The overall sensitivity and specificity of the FTTS was 90.9% and 20.8% for hospital-based need and 91.6% and 20.3 for injury severity need. The most sensitive variable for hospital-based need was physiologic criteria (53.7). Mechanism of injury was the most sensitive criteria for injury severity need (54.8). Physiological criteria had the highest association with hospital-based and injury severity need (adjusted odds ratios 7.5 [95% CI 5.8-9.8] and 5.1 [95% CI 3.9-6.7]).

CONCLUSIONS

The FTTS has fair performance in identifying the need for hospital-based and injury severity need. Systolic blood pressure less than 90 mmHg, Glasgow Coma Scale (motor) less than 6, and falls greater than 6 m were most predictive of trauma center need. Improving prehospital trauma triage is critical to ensure timely transport to a trauma centre.

Evaluating the Shock Index, Revised Assessment of Bleeding and Transfusion (RABT), Assessment of Blood Consumption (ABC) and novel PTTrauma score to predict critical transfusion threshold (CAT) in penetrating thoracic trauma

The shock index (SI) has been associated with predicting transfusion needs in trauma patients. However, its utility in penetrating thoracic trauma (PTTrauma) for predicting the Critical Administration Threshold (CAT) has not been well-studied. This study aimed to evaluate the prognostic value of SI in predicting CAT in PTTrauma patients and compare its performance with the Assessment of Blood Consumption (ABC) and Revised Assessment of Bleeding and Transfusion (RABT) scores. We conducted a prognostic type 2, single-center retrospective observational cohort study on patients with PTTrauma and an Injury Severity Score (ISS) > 9. The primary exposure was SI at admission, and the primary outcome was CAT. Logistic regression and decision curve analysis were used to assess the predictive performance of SI and the PTTrauma score, a novel model incorporating clinical variables. Of the 620 participants, 53 (8.5%) had more than one CAT. An SI > 0.9 was associated with CAT (adjusted OR 4.89, 95% CI 1.64-14.60). The PTTrauma score outperformed SI, ABC, and RABT scores in predicting CAT (AUC 0.867, 95% CI 0.826-0.908). SI is a valuable predictor of CAT in PTTrauma patients. The novel PTTrauma score demonstrates superior performance compared to existing scores, highlighting the importance of developing targeted predictive models for specific injury patterns. These findings can guide clinical decision-making and resource allocation in the management of PTTrauma.

Delta Shock Index and higher incidence of emergency surgery in older adults with blunt trauma

PURPOSE

Vital signs are important for predicting clinical outcomes in patients with trauma. However, their accuracy can be affected in older adults because hemodynamic changes are less obvious. This study aimed to examine the usefulness of changes in vital signs during transportation in predicting the need for hemostatic treatments in older patients with trauma.

METHODS

This retrospective cohort study was conducted using data from the Japan Trauma Data Bank (2004-2019). Patients aged ≥ 65 years who were hemodynamically stable at the scene were included in this study. The incidence of emergency surgery within 12 h after hospital arrival was compared between patients with delta Shock Index (dSI) > 0.1 and those with dSI ≤ 0.1. Predicting ability was examined after adjusting for patient demographics, comorbidities, vital signs at the scene and on hospital arrival, Injury Severity Score, and abbreviated injury scale in each region.

RESULTS

Among the 139,242 patients eligible for the study, 3,701 underwent urgent hemostatic surgery within 12 h. Patients with dSI > 0.1 showed a significantly higher incidence of emergency surgery than those with dSI ≤ 0.1 (871/16,549 [5.3%] vs. 2,830/84,250 [3.4%]; odds ratio (OR), 1.60 [1.48-1.73]; adjusted OR, 1.22 [1.08-1.38]; p = 0.001). The relationship between high dSI and a higher incidence of intervention was observed in patients with hypertension and those with decreased consciousness on arrival.

CONCLUSION

High dSI > 0.1 was significantly associated with a higher incidence of urgent hemostatic surgery in older patients.

Shock index as predictor of massive transfusion and mortality in patients with trauma: a systematic review and meta-analysis

BACKGROUND

Management of bleeding trauma patients is still a difficult challenge. Massive transfusion (MT) requires resources to ensure the safety and timely delivery of blood products. Early prediction of MT need may be useful to shorten the time process of blood product preparation. The primary aim of this study was to assess the accuracy of shock index to predict the need for MT in adult patients with trauma. For the same population, we also assessed the accuracy of SI to predict mortality.

METHODS

This systematic review and meta-analysis was performed in accordance with the PRISMA guidelines. We performed a systematic search on MEDLINE, Scopus, and Web of Science from inception to March 2022. Studies were included if they reported MT or mortality with SI recorded at arrival in the field or the emergency department. The risk of bias was assessed using the QUADAS-2.

RESULTS

Thirty-five studies were included in the systematic review and meta-analysis, for a total of 670,728 patients. For MT the overall sensibility was 0.68 [0.57; 0.76], the overall specificity was 0.84 [0.79; 0.88] and the AUC was 0.85 [0.81; 0.88]. Positive and Negative Likelihood Ratio (LR+; LR-) were 4.24 [3.18-5.65] and 0.39 [0.29-0.52], respectively. For mortality the overall sensibility was 0.358 [0.238; 0.498] the overall specificity 0.742 [0.656; 0.813] and the AUC 0.553 (confidence region for sensitivity given specificity: [0.4014; 0.6759]; confidence region for specificity given sensitivity: [0.4799; 0.6332]). LR+ and LR- were 1.39 [1.36-1.42] and 0.87 [0.85-0.89], respectively.

CONCLUSIONS

Our study demonstrated that SI may have a limited role as the sole tool to predict the need for MT in adult trauma patients. SI is not accurate to predict mortality but may have a role to identify patients with a low risk of mortality.

PREHOSPITAL SHOCK INDEX MULTIPLIED BY AVPU SCALE AS A PREDICTOR OF CLINICAL OUTCOMES IN TRAUMATIC INJURY

ABSTRACT

Objectives: Many prehospital trauma triage scores have been proposed, but none has emerged as a criterion standard. Therefore, a rapid and accurate tool is necessary for field triage. The shock index (SI) multiplied by the AVPU (Alert, responds to Voice, responds to Pain, Unresponsive) score (SIAVPU) reflected the hemodynamic and neurological conditions through a combination of the SI and AVPU. This study aimed to investigate the prediction performance of SI multiplied by the AVPU and to compare the prediction performance of other prehospital trauma triage scores in a population with traumatic injury. Patients and Methods: This study included 6,156 patients with trauma injury from the Taipei Tzu Chi trauma database. We investigated the accuracy of four scoring systems in predicting mortality, intensive care unit (ICU) admission, and prolonged hospital stay (defined as a duration of hospitalization >14 days). In the subgroup analysis, we also analyzed the effects of age, injury mechanism and severity, underlying diseases, and traumatic brain injury. Results: The predictive accuracy of SIAVPU for mortality, ICU admission, and prolonged hospital stay was significantly higher than that of SI, modified SI, and SI multiplied by age in the traumatic injury population, with an area under the receiver operating characteristic curve of 0.738 for mortality, 0.641 for ICU admission, and 0.606 for prolonged hospital stay. In the subgroup analysis, the prediction accuracy of mortality, ICU admission, and prolonged hospital stay of SIAVPU was also better in patients with younger age, older age, major trauma (Injury Severity Score ≥16), motor vehicle collisions, fall injury, healthy, cardiovascular disease, mixed traumatic brain injury, and isolated traumatic brain injury. The best cutoff levels of SIAVPU score to predict mortality, ICU admission, and total length of stay ≥14 days in trauma injury patients were 0.90, 0.82, and 0.80, with accuracies of 88.56%, 79.84%, and 78.62%, respectively. Conclusions: In conclusion, SIAVPU is a rapid and accurate field triage score with better prediction accuracy for mortality, ICU admission, and prolonged hospital stay than SI, modified SI, and SI multiplied by age in patients with trauma. Patients with SIAVPU ≥0.9 should be considered for the highest-level trauma center available within the geographic constraints of regional trauma systems.

Shock index, modified shock index, age shock index score, and reverse shock index multiplied by Glasgow Coma Scale predicting clinical outcomes in traumatic brain injury: Evidence from a 10-year analysis in a single center

OBJECTIVES

Early identification of traumatic brain injury (TBI) patients at a high risk of mortality is very important. This study aimed to compare the predictive accuracy of four scoring systems in TBI, including shock index (SI), modified shock index (MSI), age-adjusted shock index (ASI), and reverse shock index multiplied by the Glasgow Coma Scale (rSIG).

PATIENTS AND METHODS

This is a retrospective analysis of a registry from the Taipei Tzu Chi trauma database. Totally, 1,791 patients with TBI were included. We investigated the accuracy of four major shock indices for TBI mortality. In the subgroup analysis, we also analyzed the effects of age, injury mechanism, underlying diseases, TBI severity, and injury severity.

RESULTS

The predictive accuracy of rSIG was significantly higher than those of SI, MSI, and ASI in all the patients [area under the receiver operating characteristic curve (AUROC), 0.710 vs. 0.495 vs. 0.527 vs. 0.598], especially in the moderate/severe TBI (AUROC, 0.625 vs. 0.450 vs. 0.476 vs. 0.529) and isolated head injury populations (AUROC 0.689 vs. 0.472 vs. 0.504 vs. 0.587). In the subgroup analysis, the prediction accuracy of mortality of rSIG was better in TBI with major trauma [Injury Severity Score (ISS) ≥ 16], motor vehicle collisions, fall injury, and healthy and cardiovascular disease population. rSIG also had a better prediction effect, as compared to SI, MSI, and ASI, both in the non-geriatric (age < 65 years) and geriatric (age ≥ 65 years).

CONCLUSION

rSIG had a better prediction accuracy for mortality in the overall TBI population than SI, MSI, and ASI. Although rSIG have better accuracy than other indices (ROC values indicate poor to moderate accuracy), the further clinical studies are necessary to validate our results.