ROC Curve Analysis for Irisin as a Biomarker for Postoperative Cognitive Dysfunction

37 patients (31.36%) developed postoperative cognitive dysfunction (POCD) in this prospective observational study. The dataset contains receiver operating characteristic (ROC) analysis results evaluating serum irisin levels as a predictive biomarker for POCD, authored by Hongxia Zhang and last updated in April 2026. It is a small dataset (5.5 KB) stored in an XLS file format.

Use Cases

• Validate the diagnostic cutoff value (302.840 ng/mL) for serum irisin in predicting POCD based on the reported ROC analysis.
• Replicate the logistic regression analysis linking irisin, TNF-α, and hypertension to POCD development.
• Assess the correlation between T0 irisin levels and MoCA-B cognitive assessment scores as described in the study.
• Compare the reported AUC (0.817), sensitivity (0.757), and specificity (0.765) metrics with other potential biomarkers.

Strengths

• Provides specific performance metrics for a biomarker, including an AUC of 0.817 and a cutoff value of 302.840 ng/mL.
• Results are derived from a prospective observational study employing Spearman correlation and logistic regression analyses.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope, likely containing summary statistical results rather than raw patient data.
• Data may reflect bias inherent to the specific patient cohort studied for hip and knee arthroplasty.

Provenance

Source

figshare, authored by Hongxia Zhang.

Collection Method

Prospective observational study employing statistical analyses (Spearman correlation, logistic regression, ROC analysis).

Time Range

Study period is not specified in the provided metadata.

Freshness

Last updated 2026-04-10 17:40:11; freshness should be verified.

Geography

Geographic coverage of the patient cohort is not specified.