Stroke Patient Outcomes and Systemic Inflammation Response Index from a Dual-Center Study

Wangyu Zhang's dataset contains clinical data for 287 acute large vessel occlusion stroke patients from two centers in Zhejiang, China, who underwent successful endovascular therapy. The data includes baseline Systemic Inflammation Response Index (SIRI) levels and 90-day functional outcomes measured by the modified Rankin Scale. The dataset was last updated on 2026-05-28 and is shared under a CC-BY-4.0 license.

Use Cases

• Predicting 90-day functional outcomes based on baseline inflammation levels and patient demographics.
• Assessing the prognostic value of the Systemic Inflammation Response Index (SIRI) in stroke patients.
• Comparing model performance by adding SIRI to established predictors like age and NIHSS score.
• Investigating associations between inflammatory markers and hemorrhagic transformation events.

Strengths

• Contains data for 287 patients with a mean age of 70.9 years and 58.5% male, providing a specific cohort.
• Includes a calculated prognostic metric (SIRI) with a reported mean of 1.72 and standard deviation of 1.92.
• Study design is explicitly described as a dual-center, retrospective analysis, clarifying data origin.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the two stroke centers in Zhejiang, China.

Provenance

Source

Wangyu Zhang via figshare.

Collection Method

Retrospective study enrolling patients from two stroke centers.

Freshness

Last updated 2026-05-28 04:52:56; freshness should be verified.

Geography

Zhejiang, China.