Inflammatory Indices and Atrial Thrombus Association in 623 NVAF Patients

A 2026 cross-sectional study of 623 patients with non-valvular atrial fibrillation, including 59 with left atrial thrombus, evaluated eight complete blood count-derived inflammatory indices. The dataset contains results from multivariable logistic regression and ROC curve analyses for neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and other biomarkers.

Use Cases

• Assess the predictive accuracy of neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) for left atrial thrombus risk using ROC curve analysis.
• Compare the association strength of eight inflammatory indices, including monocyte-to-lymphocyte ratio and platelet-to-lymphocyte ratio, with thrombus presence via multivariable logistic regression.
• Validate the supplementary risk stratification value of pan-immune-inflammation value (PIV) and neutrophil-to-mean platelet volume ratio (NMR) in a clinical cohort of 623 patients.

Strengths

• Includes data from 623 patients with non-valvular atrial fibrillation, providing a substantive clinical cohort.
• Evaluates eight distinct inflammatory indices derived from routine complete blood count, offering multiple biomarker comparisons.
• Analysis includes multivariable adjustment and ROC curve results with reported area under the curve values.

Limitations

• Small positive case sample size of only 59 patients with left atrial thrombus (9.5% prevalence), limiting statistical power for rare outcomes.
• Cross-sectional study design prevents establishing causal relationships between inflammatory indices and thrombus formation.
• Dataset is stored in a DOC file format (83.0 KB), which is not ideal for direct computational analysis and requires data extraction.

Provenance

Source

figshare, authored by You Zhou.

Collection Method

Cross-sectional clinical study.

Time Range

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Freshness

Last updated March 2026.

Geography

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