Results 91 to 100 of about 2,061,642 (403)
The Royal Free Hospital score: a calibrated prognostic model for patients with cirrhosis admitted to intensive care unit. Comparison with current models and CLIF-SOFA score [PDF]
, 2014 Prognosis for patients with cirrhosis admitted to intensive care unit (ICU) is poor. ICU prognostic models are more accurate than liver-specific models.Agarwal, B, Burroughs, AK, Cheung, M, Cholongitas, E, Mohammad, AO, Pieri, G, Theocharidou, E +6 morecore +1 more sourceCost-effectiveness of non-invasive methods for assessment and monitoring of liver fibrosis and cirrhosis in patients with chronic liver disease: systematic review and economic evaluation [PDF]
, 2015 BACKGROUND: Liver biopsy is the reference standard for diagnosing the extent of fibrosis in chronic liver disease; however, it is invasive, with the potential for serious complications., , , , , , , , , , , , , , , , , , , , , , , Adams, Adams, Afdhal, Aguirre, Ahmad, Aithal, Al-Mohri, Anaparthy, Andersson, Angulo, Arena, Argo, Asbach, Ascher, Aube, Aube, Awaya, Barshop, Barton, Bataller, Beckebaum, Bedossa, Bejarano, Belfort, Bellentani, Ben Jazia, Bennett, Berg, Blomme, Bolondi, Bonkovsky, Boring, Borroni, Bourliere, Boursier, Boursier, Briggs, Brown, Brunetto, Buntinx, Burton, Cales, Cales, Cales, Calvaruso, Calvaruso, Calvaruso, Camma, Cardi, Cardoso, Carlson, Carrion, Carvalho-Filho, Castera, Castera, Castera, Castera, Castera, Castera, Ceriani, Chalasani, Chalasani, Chan, Chang, Chavez-Tapia, Cheinquer, Chen, Chen, Chen, Cheung, Cho, Cholongitas, Chong, Chou, Christensen, Chrysanthos, Cioni, Claxton, Cobbold, Colletta, Colli, Colli, Colombo, Corradi, Crespo, Cross, Crowley, Crowley, Curtis, da Silva, Dakin, Danila, David, Davis, de Franchis, De Freitas, De Jongh, de Ledinghen, De Ledinghen, Degos, Denzer, Detre, Di Bisceglie, Di Marco, Dinesen, Dixon, Dixon, Do, Donnan, Drummond, Dusheiko, D’Amico, D’Onofrio, Ekstedt, Esmat, Esteban, Fabris, Fahmy, Fattovich, Fattovich, Fattovich, Fattovich, Fattovich, Fattovich, Feldstein, Fenwick, Ferral, Fontaine, Fontana, Fontanges, Forestier, Forns, Fraquelli, Fried, Fried, Friedrich-Rust, Fujii, Fujimoto, Fung, Gaia, Gaia, Gaiani, Ganne-Carrie, Gara, Germani, Germani, Giannini, Gierblinski, Gobel, Goodman, Goyal, Grieve, Grishchenko, Guajardo-Salinas, Guechot, Guechot, Guha, Gui, Guo-Qiu, Guzelbulut, Hadziyannis, Halfon, Halfon, Halfon, Hall, Harada, Harrison, Haukeland, Hongbo, Hoofnagle, Hsieh, Hu, Huang, Hui, Huwart, Iacobellis, Ibrahim, Idilman, Imbert-Bismut, Imperiale, Isgro, Ishibashi, Islam, Iushchuk, Jacobson, Jacobson, Jacobson, Janssens, John-Baptiste, Jones, Jones, Joseph, Kalantari, Kamal, Kamphues, Kandemir, Kaneda, Kayadibi, Kelleher, Kelleher, Khan, Khosravi, Kilpe, Kim, Kim, Kim, Kim, Kim, Kim, Kim, Kim, Koda, Koizumi, Kwok, Lackner, Ladenheim, Ladero, Lai, Lampertico, Lau, Lavallard, Lavanchy, Lavine, Lawitz, Lee, Lee, Lee, Leroy, Leroy, Leroy, Lesmana, Levy, Lewin, Li, Liaw, Liaw, Lichtinghagen, Lieber, Lin, Liu, Liu, Liu, Liu, Liu, Liu, Loko, Longworth, Lupsor, Lupsor, Lupsor, Lutz, Lydatakis, Macaskill, Macias, Macias, Mahadeva, Mahady, Mahady, Mallet, Manns, Manns, Manousou, Manousou, Marcellin, Marcellin, Marcellin, Martinez, Martinez, McLernon, McPherson, McPherson, Melin, Miailhes, Mohamadnejad, Moreno-Otero, Morgan, Morikawa, Motosugi, Mueller, Mummadi, Murawaki, Musso, Myers, Myers, Nagata, Nahon, Naveau, Naveau, Nguyen-Khac, Nishiura, Nitta, Nojiri, Numminen, Nunes, Obara, Ogawa, Oliveira, Ong, Orlacchio, Orlacchio, Osakabe, O’Shea, Paggi, Pais, Palmeri, Papalavrentios, Parise, Park, Park, Park, Park, Park, Parkes, Patel, Patel, Pawitpok, Pereira, Petta, Pimentel, Pohl, Poordad, Poynard, Poynard, Poynard, Poynard, Prati, Promrat, Qian, Qiu, Qureshi, Raftopoulos, Rakoski, Ramachandran, Raszeja-Wyszomirska, Ratziu, Ratziu, Ratziu, Ratziua, Realdi, Reedy, Reitsma, Ronot, Rosenberg, Rossi, Rossini, Ruffillo, Rustogi, Saab, Said, Saitou, Sakugawa, Sancheztapias, Sandrasegaran, Santos, Sanvisens, Sanyal, Sanyal, Sanyal, Schiavon, Schiavon, Schneider, Schneider, Schuetz, Sebastian, Sebastiani, Sebastiani, Sebastiani, Sebastiani, Sene, Seto, Sharabash, Shastry, Shen, Shepherd, Shepherd, Shepherd, Sherman, Sheth, Shields, Shiffman, Shimada, Shin, Shinkins, Shiramizu, Siebert, Sinakos, Singal, Sirli, Snyder, Snyder, Sohn, Sohn, Sokucu, Sonnenberg, Sporea, Sporea, Sporea, Sporea, Sporea, Standish, Sterling, Stevenson, Stibbe, Sud, Sumida, Sumida, Suzuki, Sweeting, Takeda, Tassopoulos, Terjung, Testa, Thompson, Thompson, Thompson, Thompson Coon, Thompson Coon, Tillmann, Tome, Toniutto, Tran, Trang, Trifan, Trocme, Tsochatzis, Tsochatzis, Tsochatzis, Tsochatzis, Tsochatzis, Tural, Uygun, Vallet-Pichard, Valva, Vanbiervliet, Varaut, Veenstra, Veenstra, Venkatesh, Vernon, Verrill, Viana, Vigano, Viganò, Wai, Wang, Wang, Ware, Westin, Whiting, Whiting, Whiting, Whiting, Wilby, Wilck, Wilson, Wong, Wong, Wong, Wong, Wong, Wong, Wong, Wong, Woo, Wright, Wu, Xu, Yoneda, Yoneda, Younossi, Younossi, Yuen, Zaman, Zarski, Zarski, Zhang, Zhang, Zhang, Zhu, Zhu, Ziol +503 morecore +2 more sourcesLiver Cirrhosis and Kidney [PDF]
Digestive Diseases, 2016 <b><i>Background:</i></b> Renal failure in cirrhosis may be due to various causes. While treatment for patients with ascites and hepatorenal syndrome is established, recent attention has been focused on acute kidney injury (AKI) in cirrhosis.openaire +3 more sourcesAnisotropic Surface Microrollers for Endovascular Navigation: A Computational Analysis with a Case Study in Hepatic Perfusion
Advanced Theory and Simulations, EarlyView.Computational fluid dynamics analyses assess the upstream locomotion performance of anisotropic microrollers with varying height‐to‐width ratios. Observing their successful upstream locomotion in veins, their performance in hepatic circulation is investigated for treating primary liver cancer.Burak Arslan, Ugur Bozuyuk, Kıvanç Görgülü, Erdost Yildiz, Hakancan Ozturk, Lucia Liotta, Volker Heinemann, Hana Algül, Metin Sitti +8 morewiley +1 more sourceDevelopment and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease
Advanced Science, EarlyView.This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.Lushan Xiao, Lin Zeng, Jiaren Wang, Chang Hong, Ziyong Zhang, Chengkai Wu, Hao Cui, Yan Li, Ruining Li, Shengxing Liang, Qijie Deng, Wenyuan Li, Xuejing Zou, Pengcheng Ma, Li Liu +14 morewiley +1 more sourceSex Differences in the Association Between Frailty and Sarcopenia in Patients With Cirrhosis. [PDF]
, 2019 ObjectivesFrailty is prevalent in patients with cirrhosis and is hypothesized to result in part from sarcopenia, but the precise contribution of sarcopenia to frailty in this population is poorly understood.MethodsIncluded were patients with cirrhosis ...Bhanji, Carey, Dasarathy, DiMartini, Englesbe, Fried, Kuo, Lai, Lai, Lai, Lang, Montano-Loza, Montano-Loza, Riggio, Sinclair, Tandon, Wang, Yadav +17 morecore +2 more sources