Prognostic determinants and mortality risk of advanced schistosomiasis revealed by Lasso-Cox regression integrative approach.

ABSTRACT:

Objective

To identify survival-related risk factors in patients with advanced schistosomiasis, develop a predictive model using integrative approach of LASSO-Cox regression, and construct a nomogram for visualizing the model's risk prediction framework.

Methods

Data from 628 advanced schistosomiasis patients treated at Dongzhi Schistosomiasis Hospital between 2019 and 2022 were retrospectively analyzed. LASSO regression was used to select variables associated with survival outcomes, which were subsequently incorporated into a Cox proportional hazards (CPH) model. Internal validation included assessments of discriminative ability (C-index, area under the receiver operating characteristic curve [AUC]), calibration (calibration curves), and clinical utility (decision curve anal

SUBMITTER: Hong Z 

PROVIDER: S-EPMC12768372 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature