A new machine learning algorithm seems to be able to use pulse oximeter waveforms to estimate volume status in patients with cirrhosis.
Researchers from the Northwestern University Feinberg School of Medicine, in Chicago, found that analyzing fingertip photoplethysmography waveforms during breath-holding estimates intravascular volume overload more accurately than measuring serum brain natriuretic peptide (BNP).
Nikhilesh R. Mazumder, MD, MPH, a transplant hepatology fellow at Northwestern, said