Predicting poor postoperative acute pain outcome in adults: an international, multicentre database analysis of risk factors in 50,005 patients.

ABSTRACT:

Background

The aim of this study was to determine simple risk factors for severe pain intensity (≥7 points on a numeric rating scale [NRS]), to analyse their relation to other patient-reported outcome measures and to develop a simple prediction model.

Methods

We used data from 50,005 patients from the PAIN-OUT project. Within a first data set (n = 33,667), relevant risk factors were identified by logistic binary regression analysis, assessed for additional patient-reported outcome measures beyond pain intensity and summed up for developing a simple risk score. Finally, sum of factors was plotted against postoperative pain outcomes within a validation data set (n = 16,338).

Results

Odds ratios (OR) for the following risk factors were identified: younger age (<54 years,

SUBMITTER: Schnabel A 

PROVIDER: S-EPMC7390596 | biostudies-literature | 2020 Jul-Aug

REPOSITORIES: biostudies-literature