Table 1_Residual CatLet score and its derived indexes in predicting outcomes in patients w

A cohort of 262 patients from the Second Affiliated Hospital of Wannan Medical College who received percutaneous coronary intervention (PCI) between May 2019 and July 2020. This dataset contains residual CatLet angiographic scores and derived indexes used to predict major adverse cardiac events and recurrent angina over long-term follow-up. The analysis was conducted by Juan Wang and published on figshare in 2026.

Use Cases

• Predicting major adverse cardiac events (MACE) based on residual CatLet score (rCS) and CatLet revascularization index (CRI)
• Modeling the risk of recurrent angina based on angiographic scoring metrics
• Comparing the discriminative performance of different scoring systems for long-term prognosis
• Analyzing the correlation between residual coronary lesion burden and adverse cardiovascular events

Strengths

• Dataset includes 262 patient records with mean CRI and rCS scores provided (58.08 ± 27.88 and 17.33 ± 15.81)
• Long-term follow-up data with Kaplan-Meier and Cox regression analysis results are included
• Clear predictive performance metrics are reported, such as area under the curve values (0.73 for rCS vs 0.67 for CRI)

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data is from a single hospital, which may limit generalizability

Provenance

Source

Second Affiliated Hospital of Wannan Medical College

Collection Method

Retrospective cohort study of patients receiving PCI

Time Range

Patient procedures from May 2019 to July 2020, with long-term follow-up

Freshness

Last updated 2026-03-25 05:21:56; freshness should be verified

Geography

China (Wuhu, Anhui province, based on hospital location)