PAI-1, MMP-9, and NLR with NIHSS for Predicting Stroke Outcome in Elderly Patients

113 elderly acute ischemic stroke patients and 63 controls were prospectively enrolled, with serum biomarkers and NIHSS scores collected at admission. The dataset supports a study investigating a multi-marker panel for predicting 90-day functional outcomes, measured by the modified Rankin Scale. It was authored by Zilong Yang and last updated on 2026-04-15.

Use Cases

• Train a binary classification model to predict poor 90-day functional outcome based on NIHSS scores and biomarker levels.
• Build a risk stratification nomogram for clinical decision-making using combined clinical and biomarker data.
• Compare the predictive performance of clinical scores versus serum biomarkers for stroke prognosis.
• Analyze the independent association of MMP-9 and NLR with poor functional outcome after ischemic stroke.

Strengths

• Data is from a prospective observational cohort study with a defined sample of 113 AIS patients and 63 controls.
• Model performance metrics are reported, including an AUC of 0.889 for the combined model and internal validation results.
• Outcomes are assessed at a standardized 90-day follow-up using the modified Rankin Scale (mRS).

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 11.9 KB, indicating limited scope.

Provenance

Source

Zilong Yang via figshare

Collection Method

Prospective observational cohort study with blood sample collection and clinical data recording.

Freshness

Last updated 2026-04-15 05:46:48; freshness should be verified.