Predicting Acute Pain After Surgery: A Multivariate Analysis.

ABSTRACT:

Objectives

To identify perioperative practice patterns that predictably impact postoperative pain.

Background

Despite significant advances in perioperative medicine, a significant portion of patients still experience severe pain after major surgery. Postoperative pain is associated with serious adverse outcomes that are costly to patients and society.

Methods

The presented analysis took advantage of a unique observational data set providing unprecedented detailed pharmacological information. The data were collected by PAIN OUT, a multinational registry project established by the European Commission to improve postoperative pain outcomes. A multivariate approach was used to derive and validate a model predictive of pain on postoperative day 1 (POD1) in 1008 patients un

SUBMITTER: Baca Q 

PROVIDER: S-EPMC8130578 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature