Open AccessSlow Dynamics of Acute Postoperative Pain Intensity Time Series Determined via Wavelet Analysis Are Associated With the Risk of Severe Postoperative Day 30 Pain
Author(s) -
Raheleh Baharloo,
José C. Prı́ncipe,
Roger B. Fillingim,
Margaret R. Wallace,
Baiming Zou,
Paul L. Crispen,
Hari K. Parvataneni,
Hernan A. Prieto,
T. Machuca,
Xinlei Mi,
Steven J. Hughes,
Gregory J. A. Murad,
Parisa Rashidi,
Patrick Tighe
Publication year - 2021
Publication title -
anesthesia and analgesia/anesthesia and analgesia
Language(s) - English
Resource type - Journals
eISSN - 1526-7598
pISSN - 0003-2999
DOI - 10.1213/ane.0000000000005385
Subject(s) - medicine , receiver operating characteristic , wavelet , logistic regression , intensity (physics) , anesthesia , postoperative pain , surgery , artificial intelligence , computer science , physics , quantum mechanics
Evidence suggests that increased early postoperative pain (POP) intensities are associated with increased pain in the weeks following surgery. However, it remains unclear which temporal aspects of this early POP relate to later pain experience. In this prospective cohort study, we used wavelet analysis of clinically captured POP intensity data on postoperative days 1 and 2 to characterize slow/fast dynamics of POP intensities and predict pain outcomes on postoperative day 30.