Data Sheet 1_Development and validation of the C-reactive protein–triglyceride-glucose ind

1,561 patient records from the MIMIC-IV database form the primary cohort for developing the C-reactive protein–triglyceride glucose index (CTI). The dataset includes external validation cohorts of 242 and 105 patients from the eICU-CRD and SRHIP databases. Author Jian Yang published this research data on figshare under a CC-BY-4.0 license in May 2026.

Use Cases

• Predicting short-term (30-day) mortality in critically ill coronary artery disease patients based on the CTI biomarker.
• Predicting long-term (365-day) mortality in critically ill coronary artery disease patients based on the CTI biomarker.
• Comparing the predictive performance of the CTI against other single predictors for mortality risk.
• Building and validating machine learning models for prognostic accuracy using the CTI index.
• Conducting subgroup and sensitivity analyses to test the robustness of the CTI-mortality association.

Strengths

• Includes 1,561 patient records in the primary internal cohort.
• Validated with two external cohorts totaling 347 patients from separate databases.
• Explicitly evaluates both short-term (30-day) and long-term (365-day) mortality outcomes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary dataset is unknown, which may limit suitability assessment.
• Data may reflect geographic and institutional bias inherent to the specific source databases (MIMIC-IV, eICU-CRD, SRHIP).

Provenance

Source

MIMIC-IV database (primary cohort), eICU-CRD and Shenzhen Regional Health Information Platform (SRHIP) databases (validation cohorts).

Collection Method

Multicenter cohort study identifying patients with coronary artery disease from critical care databases.

Freshness

Last updated 2026-05-13 04:56:07; freshness should be verified.

Geography

Likely includes data from the United States (MIMIC-IV, eICU-CRD) and China (SRHIP).