Perioperative Immune Cell Dynamics During Cardiopulmonary Bypass Surgery

A clinical dataset from a single-center study of 60 patients undergoing cardiopulmonary bypass surgery. It contains flow cytometry measurements of immune cell populations collected at four perioperative time points, correlated with major adverse postoperative events. The dataset was authored by Zhiyuan Cheng and last updated in May 2026.

Use Cases

• Identify immune biomarkers for postoperative complications based on flow cytometry measurements of NK cells and monocytes.
• Model the temporal dynamics of leukocyte populations based on data collected before, during, and after cardiopulmonary bypass.
• Validate statistical associations between specific immune phenotypes and clinical outcomes using the provided odds ratios and p-values.

Strengths

• Includes data from 60 prospectively recruited patients undergoing cardiac surgery.
• Contains detailed flow cytometry results for multiple immune cell types (neutrophils, monocytes, NK cells, T cells, B cells) at four specific time points.
• Correlates immune measurements with clinically defined major adverse events (MAEs) occurring in 10 patients (16.7%).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single-center study; the authors note the need for validation in larger multicenter studies.

Provenance

Source

figshare

Collection Method

Prospective clinical study using flow cytometry on patient blood samples.

Freshness

Last updated 2026-05-26 04:37:03; freshness should be verified.