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 controls, conducted to develop a prognostic nomogram. 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 authored by Zilong Yang and last updated on 2026-04-15.

Use Cases

• Predicting 90-day functional outcomes in elderly stroke patients based on biomarker levels and NIHSS scores.
• Comparing the prognostic performance of a combined biomarker-clinical model against NIHSS-only or biomarker-only models.
• Developing a clinical nomogram for risk stratification using the identified independent predictors.
• Validating the association of serum MMP-9 and NLR with poor short-term prognosis in acute ischemic stroke.

Strengths

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

Limitations

• Row count for the underlying data table 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 12.4 KB, indicating limited scope.

Provenance

Source

figshare, author Zilong Yang.

Collection Method

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

Time Range

Data collection likely corresponds to the study period, though specific start/end dates are not provided.

Freshness

Last updated 2026-04-15 05:46:51; freshness should be verified.