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Intensive Ambulance-Delivered Blood-Pressure Reduction in Hyperacute Stroke.
Li G, Lin Y, Yang J, Anderson CS, Chen C, Liu F, Billot L, Li Q, Chen X, Liu X, Ren X, Zhang C, Xu P, Wu L, Wang F, Qiu D, Jiang M, Peng Y, Li C, Huang Y, Zhao X, Liang J, Wang Y, Wu X, Xu X, Chen G, Huang D, Zhang Y, Zuo L, Ma G, Yang Y, Hao J, Xu X, Xiong X, Tang Y, Guo Y, Yu J, Li S, He S, Mao F, Tan Q, Tan S, Yu N, Xu R, Sun M, Li B, Guo J, Liu L, Liu H, Ouyang M, Si L, Arima H, Bath PM, Ford GA, Robinson T, Sandset EC, Saver JL, Sprigg N, van der Worp HB, Song L; INTERACT4 investigators; INTERACT4 Investigators. Li G, et al. Among authors: liu x, liu h, liu l, liu f. N Engl J Med. 2024 May 30;390(20):1862-1872. doi: 10.1056/NEJMoa2314741. Epub 2024 May 16. N Engl J Med. 2024. PMID: 38752650 Clinical Trial.
The main Optimal Post rTpa-Iv Monitoring in Ischemic Stroke Trial (OPTIMISTmain): Protocol for a Pragmatic, Stepped Wedge, Cluster Randomized Controlled Trial.
Ouyang M, Faigle R, Wang X, Johnson B, Summers D, Khatri P, Billot L, Liu H, Malavera A, Muñoz-Venturelli P, González F, Urrutia F, Day D, Song L, Sui Y, Delcourt C, Robinson T, Durham AC, Ebraimo A, Wan Zaidi WA, Jan S, Lindley RI, Urrutia VC, Anderson CS; OPTIMISTmain Investigators. Ouyang M, et al. Among authors: liu h. Cerebrovasc Dis. 2024;53(5):635-642. doi: 10.1159/000534706. Epub 2023 Oct 26. Cerebrovasc Dis. 2024. PMID: 37883934 Free article.
Implementation of low-intensity thrombolysis monitoring care in routine practice: process evaluation of the Optimal Post rtPA-IV Monitoring in Acute Ischemic Stroke (OPTIMISTmain) study in the United States.
Ouyang M, González F, Montalbano M, Pruski A, Jan S, Wang X, Johnson B, Summers DV, Khatri P, Malavera A, Iacobelli M, Faigle R, Munoz-Venturelli P, Urrutia Goldsack F, Day D, Robinson TG, Durham AC, Ebraimo A, Song L, Sui Y, Wan Zaidi WA, Lindley RI, Delcourt C, Urrutia VC, Anderson CS, Liu H. Ouyang M, et al. Among authors: liu h. Cerebrovasc Dis. 2024 Mar 5. doi: 10.1159/000538136. Online ahead of print. Cerebrovasc Dis. 2024. PMID: 38442704
An arterial spin labeling-based radiomics signature and machine learning for the prediction and detection of various stages of kidney damage due to diabetes.
Ma F, Shao X, Zhang Y, Li J, Li Q, Sun H, Wang T, Liu H, Zhao F, Chen L, Chen J, Zhou S, Ji Q, Yu P. Ma F, et al. Among authors: liu h. Front Endocrinol (Lausanne). 2024 Nov 18;15:1333881. doi: 10.3389/fendo.2024.1333881. eCollection 2024. Front Endocrinol (Lausanne). 2024. PMID: 39624821 Free PMC article.
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