Serum Irisin and Biomarker Data for Postoperative Cognitive Dysfunction Analysis
by Hongxia Zhang·Updated 1mo ago
5.5 KB1files
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Description
A clinical dataset from a prospective observational study investigating serum irisin as a biomarker for postoperative cognitive dysfunction (POCD) in older patients undergoing hip and knee arthroplasty. The dataset, authored by Hongxia Zhang and last updated in April 2026, contains results from Spearman correlation, multifactorial logistic regression, and receiver operating characteristic analyses. It includes data on 118 patients, with POCD occurring in 37 (31.36%) of them.
Use Cases
Train logistic regression models to predict POCD risk based on biomarker levels like irisin and TNF-α.
Validate the discriminative power of serum irisin as a biomarker using the provided cutoff value and AUC metrics.
Analyze correlations between cognitive assessment scores (MoCA-B) and biomarker levels at different time points.
Investigate the role of hypertension as a co-factor in POCD development alongside biomarker data.
Strengths
Includes specific, validated cutoff values for biomarkers, such as a T0 irisin cutoff of 302.840 ng/mL.
Provides concrete statistical performance metrics, including an AUC of 0.817 with sensitivity and specificity values.
Data is derived from a structured clinical study employing Spearman correlation and multifactorial logistic regression.
Limitations
Row count is unknown, which may limit suitability assessment for machine learning tasks.
Column-level documentation is absent; field semantics must be inferred after download.
The dataset is very small at 5.5 KB, indicating limited scope and likely a summary or analysis results file.
Provenance
Source
figshare, author Hongxia Zhang.
Collection Method
Prospective observational study on patients undergoing hip and knee arthroplasty.
Time Range
Time points T0 and T1 are referenced, but specific study dates are not provided.
Freshness
Last updated 2026-04-10 17:40:09; freshness should be verified.
Geography
Geographic coverage of the patient cohort is not specified.
Data is in XLS (Excel) format; users may need compatible software to open it. License is CC-BY-4.0.