Panel of Biomarkers Can Distinguish Stable, Exacerbation States in COPD

Follow Drugslib on

Medically reviewed by Carmen Pope, BPharm. Last updated on Nov 26, 2024.

By Elana Gotkine HealthDay Reporter

TUESDAY, Nov. 26, 2024 -- A panel of biomarkers can distinguish between stable and exacerbation states in chronic obstructive pulmonary disease (COPD), and an artificial neural network (ANN) model can predict exacerbations before the occurrence of symptoms, according to a study published online Nov. 20 in ERJ Open Research.

Ahmed J. Yousuf, from the University of Leicester in the United Kingdom, and colleagues measured 35 biomarkers implicated in COPD pathogenesis in paired urine samples from 55 COPD patients during stable and exacerbation states. A model combining the 10 most discriminatory biomarkers was developed as a near-patient dipstick test. This biomarker panel was tested in 105 COPD patients who underwent daily home urine testing over six months. An ANN was developed based on urine biomarkers from 85 of the 105 patients and was tested for predicting exacerbation risk.

The researchers found that the 10-biomarker panel could significantly distinguish exacerbation versus stable state in the discovery and validation studies (receiver operating characteristic with an area under the curve, 0.84 and 0.81, respectively). The ANN model predicted an exacerbation within a 13-day window frame, with an area under the curve of 0.89. Exacerbations were identified at a median of seven days before clinical diagnosis.

"Our findings suggested that the identified urine biomarkers are promising in discriminating COPD exacerbations from stable COPD, can be measured at home with a lateral flow reader and mobile technology and so could be used at scale," the authors write.

Several authors disclosed ties to Mologic, which funded the study.

Abstract/Full Text

Disclaimer: Statistical data in medical articles provide general trends and do not pertain to individuals. Individual factors can vary greatly. Always seek personalized medical advice for individual healthcare decisions.

Source: HealthDay

Posted : 2024-11-27 06:00

Read more

Disclaimer

Every effort has been made to ensure that the information provided by Drugslib.com is accurate, up-to-date, and complete, but no guarantee is made to that effect. Drug information contained herein may be time sensitive. Drugslib.com information has been compiled for use by healthcare practitioners and consumers in the United States and therefore Drugslib.com does not warrant that uses outside of the United States are appropriate, unless specifically indicated otherwise. Drugslib.com's drug information does not endorse drugs, diagnose patients or recommend therapy. Drugslib.com's drug information is an informational resource designed to assist licensed healthcare practitioners in caring for their patients and/or to serve consumers viewing this service as a supplement to, and not a substitute for, the expertise, skill, knowledge and judgment of healthcare practitioners.

The absence of a warning for a given drug or drug combination in no way should be construed to indicate that the drug or drug combination is safe, effective or appropriate for any given patient. Drugslib.com does not assume any responsibility for any aspect of healthcare administered with the aid of information Drugslib.com provides. The information contained herein is not intended to cover all possible uses, directions, precautions, warnings, drug interactions, allergic reactions, or adverse effects. If you have questions about the drugs you are taking, check with your doctor, nurse or pharmacist.

Popular Keywords