Sunday November 17, 2019

Patients with Spinal Injuries More Likely to be Fatigued, have Sleep Apnea

Using a data-set of more than 60,000 people, the researchers first revealed that individuals with spinal cord injury experience fatigue more than people

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Patients, Spinal Injuries, Fatigued
Working with colleagues in Canada, Serbia and Croatia, the team determined that fatigue and sleep issues were prevalent in people with spinal cord injury and that sleep-related breathing problems were associated with reduced brain health in this population. Pixabay

Researchers have found that fatigue and sleep may need more attention in order to prevent issues like stroke after spinal cord injury. Patients.

“People with spinal cord injury have alarming rates of stroke, and we wanted to understand why? We found that the risk of fatigue is nine times greater in individuals with spinal cord injury compared to those without,” said study lead Aaron Phillips, Assistant Professor at University of Calgary in Canada.

Working with colleagues in Canada, Serbia and Croatia, the team determined that fatigue and sleep issues were prevalent in people with spinal cord injury and that sleep-related breathing problems were associated with reduced brain health in this population.

Using a data-set of more than 60,000 people, the researchers first revealed that individuals with spinal cord injury experience fatigue more than people without spinal cord injury.

Patients, Spinal Injuries, Fatigued
We found that the risk of fatigue is nine times greater in individuals with spinal cord injury compared to those without. Pixabay

The researchers also found the incidence of clinically defined sleep apnea was roughly four times greater for individuals with spinal cord injury compared to those without, and then went on to show that fatigue and trouble sleeping are related to the level and severity of the spinal cord injury.

The researchers next conducted sleep and in-depth physiological studies to test whether there were any scientifically measurable differences to sleep after spinal cord injury.

The full-night polysomnography recorded brain waves, oxygen level in participants’ blood, as well as their heart rate and breathing.

“People with spinal cord injury were suffering from very disturbed breathing during sleep that was actually preventing them from carrying oxygen to vital organs like their brain,” said study researcher Jordan Squair.

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“Our study found sleep related disorders are negatively associated with brain health for individuals with spinal cord injury,” Squair added.

They found that sleep-related breathing problems in people with spinal cord injury were associated with reduced health of brain blood vessels.

This is important as people with spinal cord injury are three to four times more likely to experience stroke than uninjured individuals.

The study was published in the journal Neurology. (IANS)

Next Story

This AI Tool Can Predict Mortality Of Heart Failure Patients

Researchers develop a tool that can predict mortality of heart failure patients

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This artificial intelligence (AI) tool can predict life expectancy in heart failure patients. Pixabay

Researchers have developed an artificial intelligence (AI) tool to predict life expectancy in heart failure patients.

The machine learning algorithm based on de-identified electronic health, records data of 5,822 hospitalised or ambulatory patients with heart failure at UC San Diego Health in the US.

“We wanted to develop a tool that predicted life expectancy in heart failure patients, there are apps where algorithms are finding out all kinds of things, like products you want to purchase,” said Avi Yagil, Professor at University of California.

“We needed a similar tool to make medical decisions. Predicting mortality is important in patients with heart failure. Current strategies for predicting risk, however, are only modestly successful and can be subjective,” Yagil added.

From this model, a risk score was derived that determined low and high risk of death by identifying eight readily available variables collected for the majority of patients with heart failure:Diastolic blood pressure, Creatinine, Blood urea nitrogen, White blood cell count, Platelets, Albumin and Red blood cell distribution.

Yagil said the newly developed model was able to accurately predict life expectancy 88 per cent of the time and performed substantially better than other popular published models.

“This tool gives us insight, for example, on the probability that a given patient will die from heart failure in the next three months or a year,” said researcher Eric Adler.

Heart failure patients
The mortality of a heart failure patient can be predicted. Pixabay

“This is incredibly valuable. It allows us to make informed decisions based on a proven methodology and not have to look into a crystal ball,” he added.

The tool was additionally tested using de-identified patient data from the University of California San Francisco and a data base derived from 11 European medical centers.

“It was successful in those cohorts as well,” said Yagil.

“Being able to repurpose our findings in independent populations is of utmost importance, thus validating our methodology and its results,” Yagil added.

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Researchers said the partnership between physicists and cardiologists was critical to developing a reliable tool and extensive knowledge and experiences from both sides proved synergetic.

The study was published in the European Journal of Heart Failure. (IANS)