Hypothesis
We hypothesise that CRTI will be associated with greater relative all-cause mortality risk, cardiovascular risk, biological age and BMI compared to that of the uninjured. We hypothesise that this risk will be further increased in relation to worsening injury severity.
Summary
Analysis of the baseline data from the ADVANCE Cohort Study has shown that combat-related traumatic injury (CRTI) is associated with increased relative cardiovascular disease risk compared to that of a frequency-matched group of uninjured controls. Furthermore, analysis of first follow-up data has shown that resting heart rate variability (HRV), measured using single lead ECG recording is significantly lower and heart rates in the injured versus uninjured and is linked to worsening injury severity. Lower HRV is a recognised marker of increased future cardiovascular risk and all-cause mortality. The ECG is a fundamental tool in clinical medicine and artificial intelligence-enhanced electrocardiograms have been utilised with increasing success to accurately predict future cardiac diseases and all-cause mortality. Novel AI-ECG biomarkers have been shown to predict age, body mass index (BMI), sex and future cardiovascular and all-cause mortality risk. This data largely relates to the use of 12-lead ECGs. However, there is increasing scope to investigate single lead ECG vectors. This AI-ECG technology opens the genuine prospect of using single-lead ECG data collected as part of our ongoing HRV work to predict CVD risk in the ADVANCE Cohort. In this project, we want to extend the scope of ECG data analysis to the use of AI-enhanced ECG analysis using existing and ongoing single ECG data collected as part of the existing ADVANCE ECG protocol and ethics. We hypothesise that CRTI will be associated with greater relative all-cause mortality risk, Cardiovascular risk, biological age and BMI compared to that of the uninjured. We hypothesise that this risk will be further increased in relation to worsening injury severity. We proposed to run several established deep learning AI-ECG prediction models on single lead ECG data acquired at the first follow of the ADVANCE Study.
Keywords
CRTI, Heart rate variability, ECG, AI-ECG, CVD