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Investigating the Prognostic Potential of Plasma ST2 in Patients with Peripheral Artery Disease: Identification and Evaluation

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Journal Proteomes
Date 2024 Sep 23
PMID 39311197
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Abstract

Soluble interleukin 1 receptor-like 1 (ST2) is a circulating protein demonstrated to be associated with cardiovascular diseases; however, it has not been studied as a biomarker for peripheral artery disease (PAD). Using a prospectively recruited cohort of 476 patients (312 with PAD and 164 without PAD), we conducted a prognostic study of PAD using clinical/biomarker data. Plasma concentrations of three circulating proteins [ST2, cytokine-responsive gene-2 (CRG-2), vascular endothelial growth factor (VEGF)] were measured at baseline and the cohort was followed for 2 years. The outcome of interest was a 2-year major adverse limb event (MALE; composite of major amputation, vascular intervention, or acute limb ischemia). Using 10-fold cross-validation, a random forest model was trained using clinical characteristics and plasma ST2 levels. The primary model evaluation metric was the F1 score. Out of the three circulating proteins analyzed, ST2 was the only one that was statistically significantly higher in individuals with PAD compared to patients without PAD (mean concentration in plasma of 9.57 [SD 5.86] vs. 11.39 [SD 6.43] pg/mL, < 0.001). Over a 2-year period, 28 (9%) patients with PAD experienced MALE. Our predictive model, incorporating clinical features and plasma ST2 levels, achieved an F1 score of 0.713 for forecasting 2-year MALE outcomes. Patients identified as high-risk by this model showed a significantly increased likelihood of developing MALE (HR 1.06, 95% CI 1.02-1.13, = 0.003). By combining clinical characteristics and plasma ST2 levels, our proposed predictive model offers accurate risk assessment for 2-year MALE in PAD patients. This algorithm supports risk stratification in PAD, guiding clinical decisions regarding further vascular evaluation, specialist referrals, and appropriate medical or surgical interventions, thereby potentially enhancing patient outcomes.

Citing Articles

Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams: Enhancing Explainability.

Korutla R, Tedder D, Brogan K, Milosevic M, Wilczek M, Shehadeh N Biomedicines. 2025; 13(2).

PMID: 40002672 PMC: 11851926. DOI: 10.3390/biomedicines13020258.

References
1.
Demyanets S, Konya V, Kastl S, Kaun C, Rauscher S, Niessner A . Interleukin-33 induces expression of adhesion molecules and inflammatory activation in human endothelial cells and in human atherosclerotic plaques. Arterioscler Thromb Vasc Biol. 2011; 31(9):2080-9. DOI: 10.1161/ATVBAHA.111.231431. View

2.
Li B, Shaikh F, Zamzam A, Syed M, Abdin R, Qadura M . The Identification and Evaluation of Interleukin-7 as a Myokine Biomarker for Peripheral Artery Disease Prognosis. J Clin Med. 2024; 13(12). PMC: 11205196. DOI: 10.3390/jcm13123583. View

3.
Senders J, Staples P, Karhade A, Zaki M, Gormley W, Broekman M . Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review. World Neurosurg. 2017; 109:476-486.e1. DOI: 10.1016/j.wneu.2017.09.149. View

4.
Li B, Djahanpour N, Zamzam A, Syed M, Jain S, Arfan S . The prognostic capability of inflammatory proteins in predicting peripheral artery disease related adverse events. Front Cardiovasc Med. 2022; 9:1073751. PMC: 9792492. DOI: 10.3389/fcvm.2022.1073751. View

5.
Ruopp M, Perkins N, Whitcomb B, Schisterman E . Youden Index and optimal cut-point estimated from observations affected by a lower limit of detection. Biom J. 2008; 50(3):419-30. PMC: 2515362. DOI: 10.1002/bimj.200710415. View