Prognostic Model for Stroke Risk Using MCP-1 and IL-8 Biomarkers

A retrospective clinical dataset of 300 acute ischemic stroke patients treated with intravenous thrombolysis, used to develop a prognostic model. The dataset includes a development cohort of 200 patients, a temporal validation cohort of 100 patients, and a dynamic substudy cohort of 150 patients with serial biomarker sampling. It was authored by Huiyuan Zhang and last updated in June 2026.

Use Cases

• Developing a prognostic nomogram for stroke patients based on admission variables like age, NIHSS score, infarct volume, MCP-1, and IL-8.
• Validating the predictive power of inflammatory biomarkers MCP-1 and IL-8 for 90-day functional outcomes.
• Assessing the net clinical benefit of adding biomarker data to a baseline clinical model via decision curve analysis.
• Studying the dynamic expression of biomarkers over time (24h and 72h) in relation to patient outcomes.

Strengths

• Includes temporal validation on a separate cohort of 100 patients, supporting model generalizability.
• Dynamic substudy of 150 patients with serial sampling at two time points allows for longitudinal analysis.
• Model performance is quantified with a C-index of 0.872 in development and 0.842 in validation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the main data tables is unknown, which may limit suitability assessment.
• Data may reflect temporal and selection bias inherent to a single-center retrospective study.

Provenance

Source

figshare

Collection Method

Retrospective study of patient records.

Freshness

Last updated 2026-06-04 04:27:35; freshness should be verified.