Serum Cystatin C and Cognitive Impairment in Cerebral Small Vessel Disease Patients

Danheng Mo published a dataset on 2026-04-28 containing clinical and imaging data for 334 patients with cerebral small vessel disease (CSVD). The data includes demographic information, blood biomarker levels, and brain imaging features used to investigate the association between serum cystatin C and cognitive impairment. The dataset is available as a 162.7 KB PDF file under a CC-BY-4.0 license.

Use Cases

• Train a binary classifier to predict vascular cognitive impairment based on the eight blood biomarkers mentioned in the description.
• Analyze the correlation between serum cystatin C levels and white matter hyperintensity severity from brain imaging.
• Build a multivariate logistic regression model to identify independent risk factors for CSVD-related cognitive impairment.
• Validate the diagnostic performance of a biomarker panel using the reported AUC of 0.672.

Strengths

• Includes data from 334 patients with cerebral small vessel disease.
• Contains multiple data types: demographic, blood biomarker (e.g., cystatin C, homocysteine), and brain imaging features.
• Statistical results, including odds ratios and AUC values, are provided in the description.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small at 162.7 KB, indicating limited scope.

Provenance

Source

Danheng Mo via figshare

Collection Method

Clinical study of 334 CSVD patients with demographic, blood biomarker, and brain imaging data.

Freshness

Last updated 2026-04-28 05:24:20; freshness should be verified.