Biomarker and NIHSS Data for 90-Day Stroke Outcome Prediction in Elderly Patients

A prospective observational cohort study of 113 elderly acute ischemic stroke patients and 63 non-AIS controls, conducted by Zilong Yang and last updated in April 2026. It includes serum biomarker levels (PAI-1, MMP-9, NLR), NIHSS scores, and 90-day functional outcomes measured by the modified Rankin Scale. The data was used to develop and validate a prognostic nomogram.

Use Cases

• Predicting 90-day functional outcomes in elderly stroke patients based on NIHSS scores and biomarker levels.
• Developing prognostic nomograms for clinical decision support using combined clinical and laboratory data.
• Comparing the predictive performance of biomarker-only, clinical-score-only, and combined models for stroke prognosis.
• Validating the association of serum MMP-9 and NLR levels with poor short-term prognosis in acute ischemic stroke.

Strengths

• Dataset includes 113 elderly acute ischemic stroke patients and 63 controls, providing a basis for comparison.
• Model performance metrics are reported, including an AUC of 0.889 for the combined model and an optimism-corrected C-index of 0.874.
• Data collection is described in detail, including specific timing for blood sample collection and outcome assessment at 90 days.

Limitations

• Row count for the underlying data 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 12.8 KB, indicating limited scope.

Provenance

Source

Zilong Yang via figshare

Collection Method

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

Time Range

Data collection timeframe is not specified, but outcomes were assessed at 90-day follow-up.

Freshness

Last updated 2026-04-15 05:46:49; freshness should be verified.