Table 1_Systemic immune-inflammation index predicts post-thrombectomy outcomes and reveals

A multicenter retrospective study of 515 patients used LASSO and multivariable logistic regression to develop a model predicting poor 3-month functional outcomes after endovascular thrombectomy. The model incorporates atrial fibrillation with rapid ventricular response (AF-RVR), the Systemic Immune-Inflammation Index (SII), and other clinical variables, and was externally validated on 181 independent patients. Authored by Long Yang and last updated on 2026-05-29, the dataset includes the model implemented as an online risk calculator.

Use Cases

• Predicting 3-month functional outcomes (mRS 3–6) in stroke patients based on AF-RVR and SII values.
• Conducting mediation analysis to quantify the indirect effect of neurocardiac stress on outcomes via systemic inflammation.
• Validating a clinical prediction nomogram for early individualized risk stratification after thrombectomy.
• Assessing the combined prognostic impact of neurocardiac stress and systemic inflammation markers in a clinical cohort.

Strengths

• Model was developed on a derivation cohort of 515 patients and externally validated on 181 independent patients.
• Demonstrated good discrimination with an AUC of 0.789 in derivation and 0.710 in validation.
• Mediation analysis provides a quantified indirect effect (absolute risk difference 4.6 percentage points) for the relationship between AF-RVR and outcome via SII.
• Includes an implemented online risk calculator for practical application.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying patient data is unknown, which may limit suitability assessment.
• Data may reflect geographic or institutional bias inherent to the multicenter retrospective study design.

Provenance

Source

Long Yang via figshare.

Collection Method

Multicenter retrospective study screening 678 EVT patients, with analysis using LASSO and multivariable logistic regression.

Freshness

Last updated 2026-05-29 06:11:27; freshness should be verified.