VECTOR-PJI: Flow Cytometry Bacterial Counts for Joint Infection Detection

Synovial fluid samples from three hospitals in the Netherlands were analyzed using a Sysmex UF-4000 system to quantify bacterial cell counts. The dataset contains anonymized data from 43 patients, including 16 classified with periprosthetic joint infection (PJI), based on EBJIS criteria. Author TJA van Schaik published this pilot study data on figshare in April 2026.

Use Cases

• Compare bacterial cell counts between infected and non-infected cases based on the flow cytometric bacterial counts variable.
• Perform exploratory analysis of diagnostic performance for PJI detection based on the infection classification labels.
• Investigate the relationship between bacterial counts and arthroplasty type based on the THA/TKA variable.
• Assess the feasibility of flow cytometry as an adjunct diagnostic tool based on the described clinical variables.

Strengths

• Data is explicitly linked to a defined clinical standard, with infection status classified according to EBJIS criteria.
• Includes 43 patient records with 16 confirmed PJI cases, enabling a case-control comparison.
• Source and analysis method are clearly stated, specifying the Sysmex UF-4000 system for flow cytometry.

Limitations

• The dataset is from a pilot study with a limited sample size of 43 patients, as noted in the description.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description notes the study is not powered to establish definitive diagnostic accuracy.

Provenance

Source

figshare, author TJA van Schaik

Collection Method

Synovial fluid samples were collected intraoperatively from patients undergoing revision THA or TKA and analyzed via flow cytometry.

Freshness

Last updated 2026-04-11 15:20:24; freshness should be verified.

Geography

Three hospitals in the Netherlands