Laboratory Biomarkers and Osteolysis After Knee Replacement, 2018-2023

A retrospective pilot study of 375 patients identifies leukocyte count, FIB-4 index, and uric acid-to-creatinine ratio as independent risk factors for periprosthetic osteolysis. The data includes baseline characteristics and postoperative laboratory results for patients who underwent total knee arthroplasty between January 2018 and October 2023. Author Lifei Wang published the study on figshare under a CC-BY-4.0 license.

Use Cases

• Train a binary classification model to predict osteolysis risk based on patient demographics and lab results.
• Perform feature importance analysis on biomarkers like leukocyte count and FIB-4 index for clinical insight.
• Conduct subgroup analysis to investigate how risk factor associations vary by sex, age, or comorbidity status.

Strengths

• Data is derived from a clearly defined cohort of 375 patients meeting strict inclusion criteria.
• The study period spans nearly six years, from January 2018 to October 2023.
• Key findings, including odds ratios and confidence intervals for three biomarkers, are explicitly stated in the description.

Limitations

• The dataset is very small at 34.6 KB, suggesting limited scope or a summary table rather than a full patient-level dataset.
• Column-level documentation is absent; field semantics must be inferred after download.
• The osteolysis group is small (n=17), which may limit the statistical power of analyses.

Provenance

Source

figshare, author Lifei Wang.

Collection Method

Retrospective analysis of patient records from a single institution.

Time Range

January 1, 2018 to October 31, 2023

Freshness

Last updated 2026-05-22 06:09:07; freshness should be verified.