Biomarkers and NIHSS for Predicting Stroke Outcome in Elderly Patients

113 elderly acute ischemic stroke patients and 63 controls were prospectively enrolled to study the prognostic value of serum biomarkers. The combined model of NIHSS, MMP-9, and NLR achieved an AUC of 0.889 for predicting 90-day poor functional outcome. This dataset, authored by Zilong Yang and last updated in April 2026, supports the development of a clinical nomogram for risk stratification.

Use Cases

• Predicting 90-day functional outcome (mRS > 2) based on NIHSS scores and biomarker levels.
• Comparing the performance of biomarker-only, clinical-score-only, and combined prognostic models.
• Developing a clinical nomogram for early risk stratification in elderly acute ischemic stroke patients.

Strengths

• Prospective observational cohort design with 113 AIS patients and 63 controls.
• Model performance metrics are provided, including an AUC of 0.889 for the combined model and an optimism-corrected C-index of 0.874.
• Includes multiple validation methods: ROC curves, calibration plots, decision curve analysis, and bootstrap internal validation.

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 12.6 KB, indicating limited scope.

Provenance

Source

Zilong Yang via figshare.

Collection Method

Prospective observational cohort study; fasting venous blood samples and clinical data were collected from enrolled patients.

Freshness

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