High-mobility group box 1 and its related receptors: potential therapeutic targets for contrast-induced acute kidney injury
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11255-024-03981-2.pdf
Reference82 articles.
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2. James MT, Samuel SM, Manning MA, Tonelli M, Ghali WA, Faris P et al (2013) Contrast-induced acute kidney injury and risk of adverse clinical outcomes after coronary angiography: a systematic review and meta-analysis. Circ Cardiovasc Interv 6(1):37–43. https://doi.org/10.1161/CIRCINTERVENTIONS.112.974493
3. Heyman SN, Rosenberger C, Rosen S, Khamaisi M (2013) Why is diabetes mellitus a risk factor for contrast-induced nephropathy? Biomed Res Int 2013:123589. https://doi.org/10.1155/2013/123589
4. Silvain J, Nguyen LS, Spagnoli V, Kerneis M, Guedeney P, Vignolles N et al (2018) Contrast-induced acute kidney injury and mortality in ST elevation myocardial infarction treated with primary percutaneous coronary intervention. Heart 104(9):767–772. https://doi.org/10.1136/heartjnl-2017-311975
5. Sun L, Zhu W, Chen X, Jiang J, Ji Y, Liu N et al (2020) Machine learning to predict contrast-induced acute kidney injury in patients with acute myocardial infarction. Front Med (Lausanne) 7:592007. https://doi.org/10.3389/fmed.2020.592007
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