Researchers have used artificial intelligence (AI) to analyse patient urine samples and predict when symptoms of chronic obstructive pulmonary disease (COPD) will flare up according to a study published today (Wednesday) in ERJ Open Research.
European Respiratory SocietyNov 20 2024 Research ers have used artificial intelligence to analyse patient urine samples and predict when symptoms of chronic obstructive pulmonary disease will flare up according to a study published today in ERJ Open Research .
COPD, which includes emphysema and chronic bronchitis, is a serious and long-term lung condition. According to the World Health Organization, COPD is the third leading cause of death worldwide. A flare up in symptoms, such as difficulty breathing and coughing, is known as an exacerbation. Next, a urine test was developed, led by Global Access Diagnostics, Bedford, UK, which measures levels of five of these biomarkers. The test is very similar to the COVID lateral flow tests. Researchers then asked a group of 105 COPD patients from Glenfield Hospital, Leicester, and the Prince Philip Hospital, Llanelli, UK, to test their urine daily for six months, sending their results back to the researchers via their mobile phones.
Our study first explored many substances in urine samples from people with COPD during a flare up and when they were stable. We found that a small number of these substances could identify a flare up. We then followed up a group of people with COPD and tested five substances daily. This allowed us to develop the risk prediction or forecasting AI-tool. We found the AI tool could reliably predict a flare up in symptoms seven days prior to a diagnosis.
Bronchitis Chronic Chronic Bronchitis Chronic Obstructive Pulmonary Disease Diagnostics Emphysema Hospital Research Respiratory Urine Test
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