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

A prospective observational cohort study of 113 elderly acute ischemic stroke patients and 63 controls. The dataset includes serum biomarker levels (PAI-1, MMP-9, NLR), NIHSS scores, and 90-day functional outcomes assessed via the modified Rankin Scale. The study was authored by Zilong Yang and last updated in April 2026.

Use Cases

• Predicting 90-day poor functional outcome (mRS > 2) based on NIHSS scores and biomarker levels.
• Building a clinical nomogram for risk stratification using the combined model described.
• Comparing model performance (e.g., AUC) between biomarker-only, NIHSS-only, and combined models.
• Analyzing the independent association of MMP-9 and NLR with poor stroke outcome via logistic regression.

Strengths

• Prospective cohort design with 176 total participants (113 patients, 63 controls).
• Model performance metrics are provided, including an AUC of 0.889 for the combined model.
• Includes internal validation results (optimism-corrected C-index of 0.874).

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small (12.3 KB), indicating limited scope and sample size.
• Data may reflect bias inherent to the single study's patient cohort and methodology.

Provenance

Source

Zilong Yang via figshare.

Collection Method

Prospective observational cohort study with blood sample collection and clinical assessment.

Time Range

The study period is not specified, but data reflects a 90-day follow-up.

Freshness

Last updated 2026-04-15 05:46:50.

Geography

Geographic coverage is not specified.