Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

BACKGROUND: Current enhanced recovery after surgery (ERAS) protocols are designed for all patients without tailored programmes for at-risk groups. A risk score to determine elective colorectal cancer patients at risk for prolonged length of stay (LOS) would help to identify this group for preoperative intervention. METHODS: Multivariate analysis of demographic and preoperative variables was performed to identify independent risk factors for prolonged LOS, defined as 7 days or more. A stepwise variable selection approach using logistic regression was then used to build a risk prediction model. RESULTS: Among 172 patients in our population, 41.9% of patients had prolonged LOS. Five variables were included in our risk prediction model. These were age ≥ 65 years (OR 13.9 5.09-38.0; p 

Original publication

DOI

10.1007/s00423-020-02030-7

Type

Journal article

Journal

Langenbecks Arch Surg

Publication Date

03/2021

Volume

406

Pages

319 - 327

Keywords

Colorectal cancer, Colorectal surgery, Length of stay, Prediction score, Colorectal Neoplasms, Digestive System Surgical Procedures, Elective Surgical Procedures, Humans, Infant, Newborn, Length of Stay, Retrospective Studies, Risk Factors