Correlation of the association of serum lactate, random blood sugar, and revised trauma score as predictors of outcome in hemodynamically unstable abdominal emergencies

A Review of Skin-Wearable Sensors for Non-Invasive Health Monitoring Applications

The early detection of fatal diseases is crucial for medical diagnostics and treatment, both of which benefit the individual and society. Portable devices, such as thermometers and blood pressure monitors, and large instruments, such as computed tomography (CT) and X-ray scanners, have already been implemented to collect health-related information. However, collecting health information using conventional medical equipment at home or in a hospital can be inefficient and can potentially affect the timeliness of treatment. Therefore, on-time vital signal collection via healthcare monitoring has received increasing attention. As the largest organ of the human body, skin delivers significant signals reflecting our health condition; thus, receiving vital signals directly from the skin offers the opportunity for accessible and versatile non-invasive monitoring. In particular, emerging flexible and stretchable electronics demonstrate the capability of skin-like devices for on-time and continuous long-term health monitoring. Compared to traditional electronic devices, this type of device has better mechanical properties, such as skin conformal attachment, and maintains compatible detectability. This review divides the health information that can be obtained from skin using the sensor aspect's input energy forms into five categories: thermoelectrical signals, neural electrical signals, photoelectrical signals, electrochemical signals, and mechanical pressure signals. We then summarize current skin-wearable health monitoring devices and provide outlooks on future development.

Correlation Between the Revised Trauma Score and Injury Severity Score: Implications for Prehospital Trauma Triage

OBJECTIVE

Prehospital triage of the seriously injured patient is fraught with challenges, and trauma scoring systems in current triage guidelines warrant further investigation. The primary objective of this study was to assess the correlation of the physiologically based Revised Trauma Score (RTS) and MGAP score (mechanism of injury, Glasgow Coma Scale, age, blood pressure) with the anatomically based Injury Severity Score (ISS). The secondary objectives for this study were to compare the accuracy of the MGAP score and the RTS for the prediction of in-hospital mortality for trauma patients.

METHODS

This study was a retrospective cohort including 10 years of patient data in a large single-center trauma registry at a primary adult resource center (Level I) for trauma patients. Participants included adults (age ≥18 years). The primary outcome measure was injury severity (measured by ISS) and a secondary analysis compared the RTS and MGAP for the prediction of patient mortality. Descriptive statistics were used to describe the cohort and correlation methods were employed. Each score's accuracy for the prediction of mortality was calculated using the area under receiver operating characteristic (AUROC) curves.

RESULTS

In total, 43,082 trauma patient records were reviewed; 32,798 patients had complete RTS data available and 32,371 patients had complete data available for MGAP analyses. The correlation between scene RTS and ISS was poor (-.29), as was the correlation between MGAP and ISS (-.28). For the prediction of mortality, admission MGAP demonstrated the highest sensitivity and specificity for mortality (AUROC 0.96; 95% CI, 0.95-0.96).

CONCLUSIONS

While elements of the RTS remain the first criterion recommended to quantify the totality of physiological injury severity, the composite RTS score derived from this system correlates poorly with actual anatomical injury severity. The MGAP scoring system demonstrated higher sensitivity and specificity for mortality but was not superior to the RTS for predicting anatomical injury severity. In the future development of national and international field triage guidelines for trauma patients, the findings from this study may be considered in order to improve the accuracy of prehospital triage. The findings in this analysis complement a growing body of evidence that suggests that MGAP may be a superior and more easily calculable prehospital scoring system for the prediction of mortality in trauma patients.

Blood sugar changes and hospital mortality in multiple trauma

OBJECTIVES

Hyperglycemia with unknown mechanism plays a predictive role in determining the prognosis of multiple trauma patients. The exact time of blood sugar measurement and the role of blood sugar changes in the monitoring of these patients have not been well established.

METHODS

This follow-up study was done on multiple trauma patients (>18years) with an Injury Severity Scores (ISS)>16. These patients didn't have any history of diabetes, underlying disease, or drug or alcohol use. Data collection was done by the questionnaire (checklist), and the patients were followed by the medical records. Cox regression was used to measure the effect of independent variables on the patients' hospital mortality.

RESULTS

Of a total of 963 patients, 280 patients were enrolled. Of those, 202 were male (72.1%) and 78 were female (27.9%). Hospital mortality was 18 (6.4%). Cox regression analysis suggested that those who had high blood sugar 3h after admission had higher hospital mortality (P=0.04). Changes in blood sugar, ΔBS (BS 3h after admission - BS on admission), in these patients was also significantly correlated with hospital mortality (P<0.001). The multivariate model using the backward conditional method showed that ΔBS (P<0.001), international normalized ration (INR) (P<0.001), and heart rate (P=0.036) were significantly correlated with hospital mortality.

CONCLUSIONS

In multiple trauma patients, blood sugar changes in the early hours of admission to the emergency department may help predict hospital mortality, but further studies are needed. Blood sugar monitoring in these patients during this time frame may be helpful in predicting these patients' outcomes. In addition, coagulopathy and tachycardia were significantly associated with hospital mortality.