The C-reactive protein-triglyceride glucose index (CTI) predicts mortality in cardiovascular-kidney-metabolic syndrome: a dual-cohort study with machine learning validation.

Gao Song

doi:10.1097/js9.0000000000003560

January 1, 2026Open Access

The C-reactive protein-triglyceride glucose index (CTI) predicts mortality in cardiovascular-kidney-metabolic syndrome: a dual-cohort study with machine learning validation.

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research aims to determine the ability of the CTI biomarker to predict mortality in individuals with cardiovascular-kidney-metabolic syndrome.
Utilized the CTI biomarker from dual-cohort studies in NHANES and CHARLS.
Developed a random survival forest model for mortality prediction with AUC analysis.
Conducted sensitivity analyses for validation of results.
Identified CTI as a reliable predictor of all-cause and cardiovascular mortality.
Achieved an AUC greater than 0.86 in the NHANES cohort.
Validated findings consistently across both cohorts, strengthening its clinical relevance.

Ask about this paper

Answers are grounded in this paper and cite their sources.

Implication

A dual-cohort study finds that CTI predicts mortality in cardiovascular-kidney-metabolic syndrome, suggesting its clinical utility.

Abstract

CTI, a novel inflammatory metabolic biomarker, reliably predicts all-cause and cardiovascular mortality in CKM syndrome, with consistent validation across NHANES and CHARLS. The NHANES-derived RSF model (AUC > 0.86) combines high accuracy and clinical utility, and is supported by stable external validation in CHARLS and sensitivity analyses. SHAP-based mechanistic insights further enable personalized risk assessments.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Gao Song (2026) studied this question.

synapsesocial.com/papers/6975b36bfeba4585c2d6ed5d https://doi.org/10.1097/js9.0000000000003560

View Full Paper

Ask AI

Bookmark

Share

The C-reactive protein-triglyceride glucose index (CTI) predicts mortality in cardiovascular-kidney-metabolic syndrome: a dual-cohort study with machine learning validation.

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

The C-reactive protein-triglyceride glucose index (CTI) predicts mortality in cardiovascular-kidney-metabolic syndrome: a dual-cohort study with machine learning validation.

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading