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Machine Learning Multicenter Risk Model to Predict Right Ventricular Failure After Mechanical Circulatory Support: The STOP-RVF Score.
Taleb I, Kyriakopoulos CP, Fong R, Ijaz N, Demertzis Z, Sideris K, Wever-Pinzon O, Koliopoulou AG, Bonios MJ, Shad R, Peruri A, Hanff TC, Dranow E, Giannouchos TV, Krauspe E, Zakka C, Tang DG, Nemeh HW, Stehlik J, Fang JC, Selzman CH, Alharethi R, Caine WT, Cowger JA, Hiesinger W, Shah P, Drakos SG. Taleb I, et al. Among authors: cowger ja. JAMA Cardiol. 2024 Mar 1;9(3):272-282. doi: 10.1001/jamacardio.2023.5372. JAMA Cardiol. 2024. PMID: 38294795
Heart failure prognostic models: why bother?
Aaronson KD, Cowger J. Aaronson KD, et al. Circ Heart Fail. 2012 Jan;5(1):6-9. doi: 10.1161/CIRCHEARTFAILURE.111.965848. Circ Heart Fail. 2012. PMID: 22253406 Free PMC article. No abstract available.
A novel, highly discriminatory risk model predicting acute severe right ventricular failure in patients undergoing continuous-flow left ventricular assist device implant.
Tchantchaleishvili V, Maltais S, Sharma S, Haglund NA, Davis ME, Cowger J, Shah P, Desai SS, Aaronson KD, Pagani FD, Dunlay SM, Stulak JM. Tchantchaleishvili V, et al. Artif Organs. 2019 Jul;43(7):624-632. doi: 10.1111/aor.13413. Epub 2019 Jan 25. Artif Organs. 2019. PMID: 30592069 Free article.
144 results