Biomarker and NIHSS Data for Predicting Stroke Outcomes in Elderly Patients

Zilong Yang's dataset contains clinical and biomarker measurements from a prospective observational cohort study of 113 elderly acute ischemic stroke patients and 63 non-stroke controls. The data includes NIHSS scores, serum levels of PAI-1, MMP-9, and NLR, and 90-day functional outcomes assessed using the modified Rankin Scale. The dataset was last updated on 2026-04-15.

Use Cases

• Developing a prognostic nomogram based on NIHSS scores and biomarker levels as described in the study.
• Training a binary classifier to predict poor functional outcome (mRS > 2) at 90 days using the combined biomarker and clinical score model.
• Comparing the predictive performance of a biomarker-only model versus a clinical-score-only model for stroke outcomes.
• Validating the association between elevated serum MMP-9, NLR, and poor short-term prognosis in elderly AIS patients.

Strengths

• Data is from a prospective observational cohort study with 113 AIS patients and 63 controls, providing a defined sample.
• Model performance metrics are reported, including an AUC of 0.889 for the combined model and an optimism-corrected C-index of 0.874.
• Outcomes are assessed at a standardized 90-day follow-up using the modified Rankin Scale.

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 very small at 12.7 KB, indicating limited scope.

Provenance

Source

Zilong Yang via figshare

Collection Method

Prospective observational cohort study with blood samples and clinical data collection.

Freshness

Last updated 2026-04-15 05:46:50; freshness should be verified.