A Predictive Model for Estimation Risk of Proliferative Lupus Nephritis.

ABSTRACT:

Background

Lupus nephritis (LN) is classified by renal biopsy into proliferative and nonproliferative forms, with distinct prognoses, but renal biopsy is not available for every LN patient. The present study aimed to establish an alternate tool by building a predictive model to evaluate the probability of proliferative LN.

Methods

In this retrospective cohort with biopsy-proven LN, 382 patients in development cohort, 193 in internal validation cohort, and 164 newly diagnosed patients in external validation cohort were selected. Logistic regression model was established, and the concordance statistics (C-statistics), Akaike information criterion (AIC), integrated discrimination improvement, Hosmer-Lemeshow test, and net reclassification improvement were calculated to evaluate

SUBMITTER: Chen DN 

PROVIDER: S-EPMC5987496 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature