Development and internal validation of a model to predict long-term survival of ANCA associated vasculitis.

ABSTRACT:

Objectives

Risk stratification and prognosis prediction are critical for appropriate management of anti-neutrophil cytoplasmic antibody (ANCA) associated vasculitis (AAV). Herein, we aim to develop and internally validate a prediction model specifically for long-term survival of patients with AAV.

Methods

We thoroughly reviewed the medical charts of patients with AAV admitted to Peking Union Medical College Hospital from January 1999 to July 2019. The Least Absolute Shrinkage and Selection Operator method and the COX proportional hazard regression was used to develop the prediction model. The Harrell's concordance index (C-index), calibration curves and Brier scores were calculated to evaluate the model performance. The model was internally validated by bootstrap resampling

SUBMITTER: Chen Z 

PROVIDER: S-EPMC10150875 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature