A nomogram predicting the histologic activity of lupus nephritis from clinical parameters.

ABSTRACT:

Background

The 2021 clinical guidelines of the Kidney Disease: Improving Global Outcomes emphasize the importance of the histological activity index (AI) in the management of lupus nephritis (LN). Patients with LN and a high AI have poor renal outcomes and high rates of nephritic relapse. In this study we constructed prediction models for the AI in LN.

Methods

The study population comprised 337 patients diagnosed with LN using kidney biopsy. The participants were randomly divided into training and testing cohorts. They were further divided into high-activity (AI >2) and low-activity (AI ≤2) groups. This study developed two clinical prediction models using logistic regression and least absolute shrinkage and selection operator (LASSO) analyses with laboratory test results col

SUBMITTER: Gao C 

PROVIDER: S-EPMC10899760 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature