Blood Tests Predict Spinal Cord Injury Severity & Mortality | Waterloo Study

A routine hospital blood test, a procedure as commonplace as checking vital signs, may hold the key to rapidly assessing the severity of spinal cord injuries and predicting patient outcomes. A recent study from the University of Waterloo, published in NPJ Digital Medicine, demonstrates that patterns identified through analysis of standard bloodwork can offer critical insights within the first few days of injury, potentially improving emergency care and resource allocation.

Spinal cord injuries affect an estimated 20 million people globally, with approximately 930,000 new cases occurring each year, according to the World Health Organization. The WHO estimates that these injuries often require intensive care, but diagnosis and prognosis can be complicated by the variable ways injuries present and progress, particularly in the crucial early hours after trauma.

Decoding the Body’s Early Signals

The research team, led by Dr. Abel Torres Espín of Waterloo’s School of Public Health Sciences, analyzed data from over 2,600 patients in the United States. They employed advanced analytics and machine learning – a type of artificial intelligence – to sift through millions of data points from routine blood measurements, including levels of electrolytes and various immune cells, taken during the first three weeks following a spinal cord injury. The goal was to determine if these readily available tests could serve as early warning signs for patient outcomes.

“Routine blood tests could offer doctors vital and affordable information to help predict risk of death, the presence of an injury and how severe it might be,” explained Dr. Torres Espín. The study found that analyzing changes in multiple biomarkers over time proved more predictive than looking at a single measurement in isolation. Dr. Marzieh Mussavi Rizi, a postdoctoral scholar involved in the research, emphasized this point: “Even as a single biomarker measured at a single time point can have predictive power, the broader story lies in multiple biomarkers and the changes they show over time.”

Beyond Neurological Exams: An Objective Assessment

Traditional neurological assessments, while essential, can be subjective and dependent on a patient’s ability to respond – a significant challenge in the immediate aftermath of a traumatic injury. The University of Waterloo study offers a potentially more objective and reliable method. The machine learning models developed by the team were able to predict mortality and injury severity as early as one to three days after hospital admission, often outperforming standard initial assessments.

This is particularly significant because early prediction of injury severity is crucial for clinical decision-making. Knowing whether an injury is “motor complete” (no movement below the injury site) or “incomplete” (some movement remains) guides treatment priorities and helps clinicians manage expectations. The study suggests that routine blood data can provide this information earlier and with greater accuracy.

Accessibility and Affordability: A Global Impact

One of the most compelling aspects of this research is the accessibility and affordability of the method. Unlike more sophisticated imaging techniques like MRI or specialized biomarker analyses, routine blood tests are universally available in hospitals worldwide. As Neuroscience News reports, this makes the approach particularly promising for resource-limited settings where advanced diagnostics may not be readily available.

The study acknowledges that other objective data sources, such as MRI scans and fluid omics-based biomarkers, exist. However, these are not always accessible across all medical settings. Routine blood tests offer a practical and cost-effective alternative, or a valuable complement to existing diagnostic tools.

How the Models Were Built and What They Reveal

The researchers utilized machine learning algorithms to identify subtle patterns in blood measurements that correlated with patient outcomes. The models were “trained” on the data from the 2,600 patients and then tested on a separate dataset to ensure their accuracy and generalizability. The study highlights that the predictive power of the models increased as more blood tests were collected over time, demonstrating the importance of tracking biomarker changes.

The specific biomarkers identified as being particularly predictive included measurements of electrolytes (such as sodium and potassium) and various types of immune cells. These markers reflect the body’s physiological response to trauma and can provide clues about the extent of spinal cord damage and the likelihood of recovery.

The Path Forward: Clinical Trials and Refinement

While the University of Waterloo study represents a significant step forward, further research is needed to validate these findings and translate them into clinical practice. The next steps involve conducting larger, multi-center clinical trials to confirm the accuracy and reliability of the models in diverse patient populations. Researchers also plan to refine the models by incorporating additional data sources, such as imaging results and clinical assessments.

Dr. Torres Espín believes this foundational work can “open new possibilities in clinical practice, allowing for better-informed decisions about treatment priorities and resource allocation in critical care settings for many physical injuries.” The ultimate goal is to develop a user-friendly tool that can be integrated into existing hospital workflows, providing clinicians with real-time insights to optimize patient care. The University of Waterloo’s news release details the study’s publication in NPJ Digital Medicine, a Nature portfolio journal.

Looking ahead, the research team is exploring whether similar approaches can be applied to other types of traumatic injuries, potentially expanding the impact of this innovative diagnostic method. The focus remains on leveraging the wealth of data already collected through routine blood tests to improve patient outcomes and advance the field of injury care.