Table 2_Association between T cell exhaustion and the recurrence of atrial fibrillation af

A 42.9 KB clinical study from Tianjin Medical University Second Hospital investigates novel immunological predictors for atrial fibrillation recurrence. Rong Suo's research, updated in April 2026, developed two predictive models incorporating T cell exhaustion markers and standard clinical variables. The study employed flow cytometry and Cox regression to identify risk factors like KLRG1 and PD-1 expression.

Use Cases

• Predicting atrial fibrillation recurrence risk based on T cell exhaustion markers like KLRG1 and PD-1.
• Comparing the performance of clinical-only versus immunology-enhanced predictive models for ablation outcomes.
• Building a clinical nomogram for visual risk assessment using variables such as MCV, γ-GGT, glucose, and MV Vmax.

Strengths

• Includes novel immunological predictors (KLRG1, PD-1) not commonly found in standard clinical datasets.
• Models were validated using ROC curves, calibration curves, and Decision Curve Analysis.
• Data is openly licensed under CC-BY-4.0.

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 (Tianjin Medical University Second Hospital) over a limited period (March-November 2022), which may reflect geographic and temporal bias.

Provenance

Source

figshare, author Rong Suo.

Collection Method

Clinical data collection and flow cytometry analysis of patient blood samples.

Time Range

Patient data from March to November 2022.

Freshness

Last updated 2026-04-14 05:13:06.

Geography

Tianjin Medical University Second Hospital, China.