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. 2024 Apr 9;62(3):231-240.
doi: 10.2478/rjim-2024-0016. Print 2024 Sep 1.

Systemic immune-inflammation index as a potential biomarker for predicting acute pulmonary embolism: A systematic review

Andrew Suwadi  1 , Kevin Tandarto  1 , Sidhi Laksono  2   3
Affiliations
Free article

Systemic immune-inflammation index as a potential biomarker for predicting acute pulmonary embolism: A systematic review

Andrew Suwadi et al. Rom J Intern Med. .
Free article

Abstract

Background: Acute pulmonary embolism (APE) is a life-threatening condition with a high mortality rate. The pathophysiology involves various complex processes. The systemic immune-inflammatory index (SII) is a well-known biomarker that reflects the intricate balance between pro-inflammatory and anti-inflammatory immune components. In this systematic review, we aim to determine the significance of SII as a potential biomarker for APE.

Method: We utilized PubMed, ProQuest, EBSCOHost, and Google Scholar to search for articles. We assessed bias risk using the Newcastle Ottawa Scale (NOS). The outcomes we examined included in-hospital and long-term mortality, the severity of APE, and the sensitivity and specificity of the SII in predicting APE.

Results: Four studies, involving 2,038 patients, were included for analysis. These studies discuss the use of SII in predicting APE severity, APE mortality, high-risk APE, and the occurrence of APE. SII demonstrates significant results in predicting each of these variables. Furthermore, each study establishes different SII cut-off values. Specifically, a cut-off of 1161 predicts massive APE events with a sensitivity of 91% and a specificity of 90%. A cut-off of >1235.35 differentiates high-risk APE with a sensitivity of 87.32% and a specificity of 68.85%. A cut-off of >1111x109 predicts overall mortality with a sensitivity of 72% and a specificity of 51%. Finally, a cut-off at 1839.91 predicts APE events with a sensitivity of 75.8% and a specificity of 61.9%.

Conclusion: The SII can be employed as a potential new biomarker to predict outcomes in APE patients, particularly the occurrence, severity, and mortality of APE.

Keywords: Immune Marker; Inflammation; Prognosis; Pulmonary Embolism; Vascular Diseases.

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