Systemic Immune Inflammation Index for Predicting Coronary Artery Ectasia

200 patients with isolated coronary artery ectasia (CE) were compared to 200 with obstructive coronary artery disease and 200 with normal angiograms in a retrospective study. The research, authored by Ferhat Dindaş, found the systemic immune inflammation index (SII) to be an independent predictor of isolated CE. An SII value greater than 517.35 had 79% sensitivity and 76% specificity for predicting CE, with an area under the curve of 0.832.

Use Cases

• Predicting the presence of isolated coronary artery ectasia based on systemic immune inflammation index (SII).
• Assessing the anatomical severity of coronary artery ectasia using correlation with Markis classification.
• Comparing the predictive power of SII against other inflammation markers like NLR, PLR, and MHR.

Strengths

• Study includes a total of 600 patients across three distinct diagnostic groups.
• Provides specific predictive thresholds, such as an SII >517.35 with defined sensitivity and specificity.
• Multivariate analysis identified SII as an independent predictor with a reported odds ratio and confidence interval.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Ferhat Dindaş via paperswithcode

Collection Method

Retrospective study based on coronary artery angiogram data.