Stroke Progression Index: Clinical Data for 190 LVO-PIS Patients, 2022-2025

Clinical data from a retrospective study of 190 patients with progressive ischemic stroke and large vessel occlusion, treated between January 2022 and June 2025. The dataset was created by Bang Liu to evaluate a novel Stroke Progression Index (SPI) metric derived from NIHSS change and progression time. It includes patient outcomes, treatment details, and analysis of SPI's association with 90-day functional results.

Use Cases

• Predicting poor 90-day functional outcomes (mRS 3-6) based on the Stroke Progression Index (SPI) and clinical variables.
• Analyzing the effect of endovascular treatment (EVT) across different levels of stroke progression dynamics.
• Modeling the relationship between stroke progression time, neurological deterioration (NIHSS change), and collateral status.
• Evaluating the incremental predictive value of a dynamic metric (SPI) over traditional static clinical variables.

Strengths

• Includes data for 190 consecutive patients, providing a defined cohort size.
• Contains a novel, mathematically derived metric (Stroke Progression Index) for assessing dynamic neurological deterioration.
• Reports specific statistical results, such as an AUC improvement from 0.654 to 0.757 when adding SPI to a baseline model.
• Data is licensed under CC-BY-4.0, permitting open sharing and reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data tables is unknown, which may limit suitability assessment.
• The study is retrospective and from a single center, which may limit generalizability.

Provenance

Source

figshare, author Bang Liu.

Collection Method

Retrospective enrollment of consecutive patients treated at a single center.

Time Range

January 2022 to June 2025.

Freshness

Last updated 2026-04-16 05:24:41; freshness should be verified.

Geography

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