Prediction of chronic postsurgical pain in adults: a protocol for multivariable prediction model development

ABSTRACT:

Introduction

Chronic postsurgical pain (CPSP) is a condition that affects an estimated 10%–50% of adults, depending on the surgical procedure. CPSP often interferes with activities of daily living and may have a negative impact on quality of life, emotional and physical well-being. Clinical prediction models can help clinicians target preventive strategies towards patients at high-risk of CPSP. Therefore, the objective of this study is to develop a clinically applicable and generalisable prediction model for CPSP in adults.

Methods and analysis

This research will be a prospective single-centre observational cohort study in Denmark spanning approximately 1 year or until a predefined number of patients are recruited (n=1526). Adult patients aged 18 years and older scheduled

SUBMITTER: Papadomanolakis-Pakis N 

PROVIDER: S-EPMC8718417 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature