Biomarker and NIHSS Scores for Predicting Stroke Outcomes in Elderly Patients

A prospective observational cohort study of 113 elderly acute ischemic stroke patients and 63 non-stroke controls. The dataset includes serum levels of PAI-1, MMP-9, and NLR, NIHSS scores, and 90-day functional outcomes assessed via the modified Rankin Scale. The data was collected by Zilong Yang and published on figshare in April 2026.

Use Cases

• Predicting 90-day functional outcomes in elderly stroke patients based on NIHSS scores and biomarker levels.
• Developing a clinical nomogram for risk stratification using combined biomarker and clinical score data.
• Comparing the predictive performance of biomarker-only, clinical score-only, and combined models for stroke prognosis.
• Investigating the independent association of MMP-9 and NLR with poor short-term stroke outcomes.

Strengths

• Includes data from a prospectively enrolled cohort of 176 total participants (113 patients, 63 controls).
• Model performance is rigorously evaluated with an AUC of 0.889 for the combined model, internal validation, and decision curve analysis.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small at 12.4 KB, indicating limited scope and sample size.
• Data may reflect bias inherent to the single-center, prospective observational study design.

Provenance

Source

Zilong Yang via figshare.

Collection Method

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

Freshness

Last updated 2026-04-15 05:46:52.