Biomarker and NIHSS Scores for Predicting Stroke Outcome in Elderly Patients

113 elderly acute ischemic stroke patients and 63 non-stroke controls were prospectively enrolled. 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. It was created by Zilong Yang and last updated in April 2026.

Use Cases

• Predicting 90-day functional outcomes in elderly stroke patients based on biomarker levels and NIHSS scores.
• Comparing the prognostic performance of a multi-marker panel against a standard clinical score (NIHSS).
• Developing a clinical nomogram for risk stratification using combined biomarker and clinical data.
• Validating the association of serum MMP-9 and NLR with poor short-term prognosis in acute ischemic stroke.

Strengths

• Includes data from a prospective observational cohort study with 176 total participants.
• Model performance is validated with an AUC of 0.889 for the combined predictor and internal bootstrap validation.
• Clinical outcomes are clearly defined using the modified Rankin Scale at a 90-day follow-up.

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 (14.8 KB), indicating a limited scope and sample size.

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 05:46:51; freshness should be verified.