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Dataset Information

Preliminary nomogram model for predicting irreversible organ damage of patients with systemic sclerosis.


ABSTRACT:

Objective

To investigate predictive factors for irreversible organ damage in systemic sclerosis (SSc) and establish a nomogram model.

Methods

This retrospective study included patients with SSc who were treated at our hospital between March 2013 and March 2023. Irreversible organ damage included heart failure, respiratory failure, renal failure, and gangrene of the hands and feet. Cox and LASSO regression analyses were performed to determine the predictive factors. Based on the results, a nomogram model was developed. The model was evaluated using the C-indices, calibration plots and DCA.

Results

A total of 361 patients with systemic sclerosis were randomly divided into the development (n = 181) and validation (n = 180) groups. Multivariate Cox regression analysis sho

SUBMITTER: Huo X 

PROVIDER: S-EPMC11781586 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature