A Simple Nomogram for Predicting Osteoarthritis Severity in Patients with Knee Osteoarthritis.

ABSTRACT:

Objective

To explore the influencing factors of knee osteoarthritis (KOA) severity and establish a KOA nomogram model.

Methods

Inpatient data collected in the Department of Joint Surgery, Chengde Medical University Affiliated Hospital from January 2020 to January 2022 were used as the training cohort. Patients with knee osteoarthritis who were admitted to the Third Hospital of Hebei Medical University from February 2022 to May 2022 were taken as the external validation group of the model. In the training group, the least absolute shrinkage and selection operator (LASSO) method was used to screen the factors of KOA severity to determine the best prediction index. Then, after combining the significant factors from the LASSO and multivariate logistic regressions, a prediction m

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC9462991 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature