Related Experiment Video
Updated: May 7, 2026
07:48
Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock
Published on: October 28, 2022
1.3K
Utility of Delta Shock Index in Predicting Mortality and Clinical Outcomes at a Rural Level One Trauma Center
Aliya G Burns1, Matthew A Leonard2, Hannah W Collins2
1Quillen College of Medicine, East Tennessee State University, Johnson City, TN, USA.
The American Surgeon
|July 4, 2025
Summary
Positive Delta Shock Index (+ΔSI) in rural trauma patients indicates a higher risk of mortality and longer hospital stays. This dynamic measure effectively predicts adverse outcomes in this specific setting.
Area of Science:
- Trauma Care
- Emergency Medicine
- Hemodynamic Monitoring
Background:
- The Shock Index (SI) is a key indicator of hemodynamic status and patient prognosis.
- Delta Shock Index (ΔSI), representing changes in SI over time, offers dynamic insights into patient deterioration and mortality risk.
- The predictive utility of ΔSI in rural trauma populations remains underexplored.
Purpose of the Study:
- To investigate the hypothesis that ΔSI has significant predictive value for patient outcomes in a rural trauma setting.
- To evaluate the association between positive ΔSI (+ΔSI) and adverse outcomes, including mortality, hospital length of stay (HLOS), ICU length of stay (ILOS), and blood transfusion requirements.
Main Methods:
- Retrospective analysis of trauma registry data from January 2017 to July 2023 at a rural Level 1 trauma center.
- Calculation of SI (Heart Rate/Systolic Blood Pressure) at transfer facility, scene, and trauma bay (TB).
- Computation of ΔSI as the change from TB arrival SI compared to earlier measurements; stratification into +ΔSI and zero/negative ΔSI groups.
Main Results:
- Patients with +ΔSI were older and exhibited higher injury severity scores, longer HLOS, and ILOS.
- The +ΔSI group showed significantly higher mortality rates (6.8% vs. 3.6%, P < 0.001) and increased blood transfusion needs (14.5% vs. 9.7%, P < 0.001).
- Multivariable logistic regression confirmed +ΔSI as a significant predictor of early mortality (OR 2.061, P = 0.008) and in-hospital death (OR 1.465, P = 0.002).
Conclusions:
- Positive ΔSI is strongly associated with negative patient outcomes, including increased early and overall mortality in rural trauma patients.
- ΔSI demonstrates significant predictive value for patient outcomes within a rural healthcare environment.
- Dynamic hemodynamic assessment using ΔSI can aid in risk stratification and management of trauma patients in rural settings.
Related Concept Videos
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:12Relative Risk
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
01:12Hazard Ratio
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...
For example, in a clinical trial evaluating a...