CTI Index and Cardiovascular Events in 2,610 PCI Patients

Retrospective data from 2,610 patients who underwent percutaneous coronary intervention (PCI), collected by Feilong Shao. The dataset examines the association between the C-reactive protein-triglyceride-glucose index (CTI) and major adverse cardiovascular events (MACEs), with 459 events recorded during follow-up. The study was last updated in May 2026.

Use Cases

• Predicting major adverse cardiovascular events (MACEs) based on the CTI biomarker index.
• Analyzing non-linear relationships between composite biomarkers and clinical endpoints using restricted cubic splines.
• Validating a novel risk predictor through subgroup and sensitivity analysis as described.
• Building time-dependent ROC curves for prognostic model evaluation.

Strengths

• Contains data from 2,610 patient records, providing a substantive cohort for analysis.
• Focuses on a specific, clinically relevant population: patients undergoing percutaneous coronary intervention.
• The analysis employs multiple statistical methods (Cox regression, RCS, time-dependent ROC) as detailed in the description.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (14.7 KB), indicating limited raw data or a summary document.

Provenance

Source

figshare

Collection Method

Retrospective data collection from patients who underwent PCI.

Time Range

Follow-up period unspecified in the provided metadata.

Freshness

Last updated 2026-05-29 04:49:01; freshness should be verified.

Geography

Geographic scope of the patient population is unspecified.