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203. Intraoperative pain prediction of percutaneous kyphoplasty under local anesthesia by preoperative experimental pain assessment.

Author

Zhong, Xiqiang, Shen, Guangjie, Qian, Yunfan, Li, Yimin, Tang, Chengxuan, Tang, Xiaojun, and He, Shaoqi

Subjects
KYPHOPLASTY, PAIN measurement, OXYGEN saturation, LOCAL anesthesia, RESEARCH funding, POSTOPERATIVE pain, SURGICAL therapeutics, COMPRESSION fractures, VERTEBRAL fractures, PAIN threshold, PREOPERATIVE care, CATHETERIZATION, DESCRIPTIVE statistics, BONE fractures, HEART beat, ARTERIAL pressure, PAIN management, NORADRENALINE, PSYCHOLOGICAL stress, OSTEOPOROSIS, SENSITIVITY & specificity (Statistics), EVALUATION
Abstract

BACKGROUND: Percutaneous kyphoplasty (PKP) is the preferred treatment for osteoporotic vertebral compression fractures (OVCF) Currently, the preoperative anesthesia methods for PKP are mainly local anesthesia and tracheal intubation general anesthesia. OBJECTIVE: To assess whether patient sensitivity to pain measured preoperatively could predict the patients' pain response during PKP treatment under local anesthesia, to facilitate the development of an optimal preoperative anesthesia plan for patients. METHODS: Fifty-five female patients diagnosed with osteoporotic single vertebral fracture who were treated with PKP under local anesthesia were selected. The patients' pain sensitivities, including pain threshold and pain tolerance threshold, were evaluated with a pain test device on the day before the operation in the ward. Heart rate (HR), mean arterial pressure (MAP), and blood oxygen saturation (SpO2) were recorded before anesthesia, post-anesthesia, after needle puncture, and after balloon dilatation. At the same time, blood was drawn at the above time points to determine the level of norepinephrine (NA) as an indicator of intraoperative pain stress response. The numerical rating scale (NRS) during surgery was recorded at the end of the surgery. RESULTS: The preoperative pain tolerance threshold of 55 surgical patients was correlated with the intraoperative NRS score (r = - 0.768, P < 0.001), as well as with the preoperative and intraoperative changes in HR (r = - 0.791, P < 0.001), MAP (r = - 0.819, P < 0.001), and NA (r = - 0.553, P < 0.001). Thus, the lower the preoperative pain tolerance threshold, the more severe the patient's response to pain during PKP treatment under local anesthesia, and the greater the hemodynamic changes. Consequently, the intraoperative experience becomes worse. However, there was no correlation between preoperative pain threshold and NRS scores (r = - 0.069, P = 0.616) nor between the preoperative and intraoperative changes in HR (r = 0.103, P = 0.453), MAP (r = 0.086, P = 0.535), and NA (r = - 0.058, P = 0.674). CONCLUSION: The results indicated that preoperative pain assessment could predict the level of pain response in OVCF patients during PKP surgery under local anesthesia. [ABSTRACT FROM AUTHOR]

Published
2024
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221. Early triage of critically ill COVID-19 patients using deep learning

Author

Liang, Wenhua, Yao, Jianhua, Chen, Ailan, Lv, Qingquan, Zanin, Mark, Liu, Jun, Wong, SookSan, Li, Yimin, Lu, Jiatao, Liang, Hengrui, Chen, Guoqiang, Guo, Haiyan, Guo, Jun, Zhou, Rong, Ou, Limin, Zhou, Niyun, Chen, Hanbo, Yang, Fan, Han, Xiao, Huan, Wenjing, Tang, Weimin, Guan, Weijie, Chen, Zisheng, Zhao, Yi, Sang, Ling, Xu, Yuanda, Wang, Wei, Li, Shiyue, Lu, Ligong, Zhang, Nuofu, Zhong, Nanshan, Huang, Junzhou, and He, Jianxing

Published
2020
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224. 2254: Metabolic adapted radiation dose for head and neck squamous cell carcinoma

Author

Zschaeck, Sebastian, Kukuk, Emily, Lombardo, Elia, Marschner, Sebastian, Beck, Marcus, Mehrhof, Felix, Li, Yimin, Lin, Qin, Furth, Christian, Gregoire, Vincent, Albert, Nathalie L., Krause, Mechthild, Baumann, Michael, Kazmierska, Joanna, Cegla, Paulina, Cholewinski, Witold, Strouthos, Iosif, Zöphel, Klaus, Landry, Guillaume, Belka, Claus, Zips, Daniel, and Hofheinz, Frank

Published
2024
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226. Selective Nanocatalysis of Organic Transformation by Metals: Concepts, Model Systems, and Instruments

Author

Somorjai, Gabor A. and Li, Yimin

Subjects
Chemistry, Characterization and Evaluation of Materials, Industrial Chemistry/Chemical Engineering, Pharmacy, Physical Chemistry, Catalysis, Catalytic selectivity, Colloid nanoparticles, Oxide metal interfaces
Abstract

Monodispersed transition metal (Pt, Rh, Pd) nanoparticles (NP) in the 0.8–15 nm range have been synthesized and are being used to probe catalytic selectivity in multipath organic transformation reactions. For NP systems, the turnover rates and product distributions depend on their size, shape, oxidation states, and their composition in case of bimetallic NP systems. Dendrimer-supported platinum and rhodium NPs of less than 2 nm diameter usually have high oxidation states and can be utilized for catalytic cyclization and hydroformylation reactions which previously were produced only by homogeneous catalysis. Transition metal nanoparticles in metal core (Pt, Co)––inorganic shell (SiO2) structure exhibit exceptional thermal stability and are well-suited to perform catalytic reactions at high temperatures (>400 °C). Instruments developed in our laboratory permit the atomic and molecular level study of NPs under reaction conditions (SFG, ambient pressure XPS and high pressure STM). These studies indicate continuous restructuring of the metal substrate and the adsorbate molecules, changes of oxidation states with NP size and surface composition variations of bimetallic NPs with changes of reactant molecules. The facile rearrangement of NP catalysts required for catalytic turnover makes nanoparticle systems (heterogeneous, homogeneous and enzyme) excellent catalysts and provides opportunities to develop hybrid heterogeneous-homogeneous, heterogeneous-enzyme and homogeneous-enzyme catalyst systems.

Published
2010

227. Major Successes of Theory-and-Experiment-Combined Studies in Surface Chemistry and Heterogeneous Catalysis

Author

Somorjai, Gabor A. and Li, Yimin

Subjects
Chemistry, Characterization and Evaluation of Materials, Industrial Chemistry/Chemical Engineering, Pharmacy, Physical Chemistry, Catalysis, Theory success, Surface chemistry, Catalysis
Abstract

Experimental discoveries followed by theoretical interpretations that pave the way of further advances by experimentalists is a developing pattern in modern surface chemistry and catalysis. The revolution of modern surface science started with the development of surface-sensitive techniques such as LEED, XPS, AES, ISS and SIMS, in which the close collaboration between experimentalists and theorists led to the quantitative determination of surface structure and composition. The experimental discovery of the chemical activity of surface defects and the trends in the reactivity of transitional metals followed by the explanations from the theoretical studies led to the molecular level understanding of active sites in catalysis. The molecular level knowledge, in turn, provided a guide for experiments to search for new generation of catalysts. These and many other examples of successes in experiment-and-theory-combined studies demonstrate the importance of the collaboration between experimentalists and theorists in the development of modern surface science.

Published
2010

231. Association between chronic obstructive pulmonary disease and 28-day mortality in patients with sepsis: a retrospective study based on the MIMIC-III database

Author

Chen, Yubiao, primary, Lu, Lifei, additional, Li, Xicong, additional, Liu, Baiyun, additional, Zhang, Yu, additional, Zheng, Yongxin, additional, Zeng, Yuan, additional, Wang, Ke, additional, Pan, Yaru, additional, Liang, Xiangning, additional, Wu, Zhongji, additional, Fu, Yutian, additional, Huang, Yongbo, additional, and Li, Yimin, additional

Published
2023
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236. Geo-economic variations in epidemiology, patterns of care, and outcomes in patients with acute respiratory distress syndrome: insights from the LUNG SAFE prospective cohort study

Author

Laffey, John G., Bellani, Giacomo, Pham, Tai, Fan, Eddy, Brochard, Laurent, Pesenti, Antonio, Esteban, Andres, Gattinoni, Luciano, van Haren, Frank, Larsson, Anders, McAuley, Daniel F., Ranieri, Marco, Rubenfeld, Gordon, Thompson, B Taylor, Wrigge, Hermann, Slutsky, Arthur S., Rios, Fernando, Sottiaux, Thierry, Depuydt, Pieter, Lora, Fredy S, Azevedo, Luciano C, Bugedo, Guillermo, Qiu, Haibo, Gonzalez, Marcos, Silesky, Juan, Cerny, Vladimir, Nielsen, Jonas, Jibaja, Manuel, Matamis, Dimitrios, Ranero, Jorge L., Amin, Pravin, Hashemian, S.M., Clarkson, Kevin, Kurahashi, Kiyoyasu, Villagomez, Asisclo, Zeggwagh, Amine Ali, Heunks, Leo M, Laake, Jon Henrik, Palo, Jose Emmanuel, Fernandes, Antero do Vale, Sandesc, Dorel, Arabi, Yaasen, Bumbasierevic, Vesna, Nin, Nicolas, Lorente, Jose A., Piquilloud, Lise, Abroug, Fekri, McNamee, Lia, Hurtado, Javier, Bajwa, Ed, Démpaire, Gabriel, Sula, Hektor, Nunci, Lordian, Cani, Alma, Zazu, Alan, Dellera, Christian, Alejandro, Risso V, Daldin, Julio, Fernandez, Ruben O, Cardonnet, Luis P, Bettini, Lisandro R., Bisso, Mariano Carboni, Osman, Emilio M., Setten, Mariano G., Lovazzano, Pablo, Alvarez, Javier, Villar, Veronica, Pozo, Norberto C., Grubissich, Nicolas, Plotnikow, Gustavo A., Vasquez, Daniela N., Ilutovich, Santiago, Tiribelli, Norberto, Chena, Ariel, Pellegrini, Carlos A., Saenz, María G., Estenssoro, Elisa, Brizuela, Matias, Gianinetto, Hernan, Gomez, Pablo E., Cerrato, Valeria I., Bezzi, Marco G., Borello, Silvina A., Loiacono, Flavia A., Fernandez, Adriana M., Knowles, Serena, Reynolds, Claire, Inskip, Deborah M., Miller, Jennene J, Kong, Jing, Whitehead, Christina, Bihari, Shailesh, Seven, Aylin, Krstevski, Amanda, Rodgers, Helen, Millar, Rebecca, Mckenna, Toni, Bailey, Irene, Hanlon, Gabrielle, Aneman, Anders, Lynch, Joan, Azad, Raman, Neal, John, Woods, Paul, Roberts, Brigit, Kol, Mark, Wong, Helen, Riss, Katharina, Staudinger, Thomas, Wittebole, Xavier, Berghe, Caroline, Bulpa, Pierre, Dive, Alain, Verstraete, Rik, Lebbinck, Herve, Vermassen, Joris, Meersseman, Philippe, Ceunen, Helga, Rosa, Jonas, Beraldo, Daniel, Piras, Claudio, Rampinelli, Adenilton, Nassar, Antonio, Mataloun, Sergio, Moock, Marcelo, Thompson, Marlus, Gonçalves, Claudio, Antônio, Ana, Ascoli, Aline, Biondi, Rodrigo, Fontenele, Danielle, Nobrega, Danielle, Sales, Vanessa, Shindhe, Suresh, Ismail, Dk, Beloncle, Francois, Davies, Kyle, Cirone, Rob, Manoharan, Venika, Ismail, Mehvish, Goligher, Ewan, Jassal, Mandeep, Nishikawa, Erin, Javeed, Areej, Curley, Gerard, Rittayamai, Nuttapol, Parotto, Matteo, Ferguson, Niall, Mehta, Sangeeta, Knoll, Jenny, Pronovost, Antoine, Canestrini, Sergio, Bruhn, Alejandro, Garcia, Patricio, Aliaga, Felipe, Farías, Pamela, Yumha, Jacob, Ortiz, Claudia, Salas, Javier, Saez, Alejandro, Vega, Luis, Labarca, Eduardo, Martinez, Felipe, Carreño, Nicolás, Lora, Pilar, Liu, Haitao, Liu, Ling, Tang, Rui, Luo, Xiaoming, An, Youzhong, Zhao, Huiying, Gao, Yan, Zhai, Zhe, Ye, Zheng, Wang, Wei, Li, Wenwen, Li, Qingdong, Zheng, Ruiqiang, Yu, Wenkui, Shen, Juanhong, Li, Xinyu, Yu, Tao, Lu, Weihua, Wu, Ya, Huang, Xiao, He, Zhenyang, Lu, Yuanhua, Han, Hui, Zhang, Fan, Sun, Renhua, Wang, Hua, Qin, Shu, Zhu, Bao, Zhao, Jun, Liu, Jian, Li, Bin, Liu, Jing, Zhou, Fa, Li, Qiong, Zhang, Xing, Li-Xin, Zhou, Xin-Hua, Qiang, Jiang, Liangyan, Gao, Yuan, Zhao, Xian, Li, Yuan, Li, Xiao, Wang, Chunting, Yao, Qingchun, Yu, Rongguo, Chen, Kai, Shao, Huanzhang, Qin, Bingyu, Huang, Qing, Zhu, Wei, Hang, Ai, Hua, Ma, Li, Yimin, Xu, Yonghao, Di, Yu, Ling, Long, Qin, Tie, Wang, Shou, Qin, Junping, Han, Yi, Zhou, Suming, Vargas, Monica, Jimenez, Juan, Rojas, Manuel, Solis-Quesada, Jaime, Ramirez-Alfaro, Christian, Máca, Jan, Sklienka, Peter, Gjedsted, Jakob, Christiansen, Aage, Villamagua, Boris, Llano, Miguel, Burtin, Philippe, Buzancais, Gautier, Beuret, Pascal, Pelletier, Nicolas, Mortaza, Satar, Mercat, Alain, Chelly, Jonathan, Jochmans, Sébastien, Terzi, Nicolas, Daubin, Cédric, Carteaux, Guillaume, de Prost, Nicolas, Chiche, Jean-Daniel, Daviaud, Fabrice, Fartoukh, Muriel, Barberet, Guillaume, Biehler, Jerome, Dellamonica, Jean, Doyen, Denis, Arnal, Jean-Michel, Briquet, Anais, Hraiech, Sami, Papazian, Laurent, Roux, Damien, Messika, Jonathan, Kalaitzis, Evangelos, Dangers, Laurence, Combes, Alain, Au, Siu-Ming, Béduneau, Gaetan, Carpentier, Dorothée, Zogheib, Elie, Dupont, Herve, Ricome, Sylvie, Santoli, Francesco, Besset, Sebastien, Michel, Philippe, Gelée, Bruno, Danin, Pierre-Eric, Goubaux, Bernard, Crova, Philippe, Phan, Nga, Berkelmans, Frantz, Badie, Julio, Tapponnier, Romain, Gally, Josette, Khebbeb, Samy, Herbrecht, Jean-Etienne, Schneider, Francis, Declercq, Pierre-Louis, Rigaud, Jean-Philippe, Duranteau, Jacques, Harrois, Anatole, Chabanne, Russell, Marin, Julien, Bigot, Charlene, Thibault, Sandrine, Ghazi, Mohammed, Boukhazna, Messabi, Zein, Salem, Richecoeur, Jack, Combaux, Daniele, Grelon, Fabien, Le Moal, Charlene, Sauvadet, Elise, Robine, Adrien, Lemiale, Virginie, Reuter, Danielle, Dres, Martin, Demoule, Alexandre, Goldgran-Toledano, Dany, Baboi, Loredana, Guérin, Claude, Lohner, Ralph, Kraßler, Jens, Schäfer, Susanne, Zacharowski, Kai, Meybohm, Patrick, Reske, Andreas, Simon, Philipp, Hopf, Hans-Bernd, Schuetz, Michael, Baltus, Thomas, Papanikolaou, Metaxia, Papavasilopoulou, Theonymfi, Zacharas, Giannis, Ourailogloy, Vasilis, Mouloudi, Eleni, Massa, Eleni, Nagy, Eva, Stamou, Electra, Kiourtzieva, Ellada, Oikonomou, Marina, Avila, Luis, Cortez, Cesar, Citalán, Johanna, Jog, Sameer, Sable, Safal, Shah, Bhagyesh, Gurjar, Mohan, Baronia, Arvind, Memon, Mohammedfaruk, Muthuchellappan, Radhakrishnan, Ramesh, Venkatapura, Shenoy, Anitha, Unnikrishnan, Ramesh, Dixit, Subhal, Rhayakar, Rachana, Ramakrishnan, Nagarajan, Bhardwaj, Vallish, Mahto, Heera, Sagar, Sudha, Palaniswamy, Vijayanand, Ganesan, Deeban, Hashemian, Seyed, Jamaati, Hamidreza, Heidari, Farshad, Meaney, Edel, Nichol, Alistair, Knapman, Karl, O'Croinin, Donall, Dunne, Eimhin, Breen, Dorothy, Jaafar, Rola, Dwyer, Rory, Amir, Fahd, Ajetunmobi, Olaitan, O'Muircheartaigh, Aogan, Black, Colin, Treanor, Nuala, Collins, Daniel, Altaf, Wahid, Zani, Gianluca, Fusari, Maurizio, Spadaro, Savino, Volta, Carlo, Graziani, Romano, Brunettini, Barbara, Palmese, Salvatore, Formenti, Paolo, Umbrello, Michele, Lombardo, Andrea, Pecci, Elisabetta, Botteri, Marc, Savioli, Monica, Protti, Alessandro, Mattei, Alessia, Schiavoni, Lorenzo, Tinnirello, Andrea, Todeschini, Manuel, Giarratano, Antonino, Cortegiani, Andrea, Sher, Sara, Rossi, Anna, Antonelli, Massimo, Montini, Luca, Casalena, Paolo, Scafetti, Sergio, Panarello, Giovanna, Occhipinti, Giovanna, Patroniti, Nicolò, Pozzi, Matteo, Biscione, Roberto, Poli, Michela, Raimondi, Ferdinando, Albiero, Daniela, Crapelli, Giulia, Beck, Eduardo, Pota, Vincenzo, Schiavone, Vincenzo, Molin, Alexandre, Tarantino, Fabio, Monti, Giacomo, Frati, Elena, Mirabella, Lucia, Cinnella, Gilda, Fossali, Tommaso, Colombo, Riccardo, Terragni, Pierpaolo, Pattarino, Ilaria, Mojoli, Francesco, Braschi, Antonio, Borotto, Erika, Cracchiolo, Andrea, Palma, Daniela, Raponi, Francesco, Foti, Giuseppe, Vascotto, Ettore, Coppadoro, Andrea, Brazzi, Luca, Floris, Leda, Iotti, Giorgio, Venti, Aaron, Yamaguchi, Osamu, Takagi, Shunsuke, Maeyama, Hiroki, Watanabe, Eizo, Yamaji, Yoshihiro, Shimizu, Kazuyoshi, Shiozaki, Kyoko, Futami, Satoru, Ryosuke, Sekine, Saito, Koji, Kameyama, Yoshinobu, Ueno, Keiko, Izawa, Masayo, Okuda, Nao, Suzuki, Hiroyuki, Harasawa, Tomofumi, Nasu, Michitaka, Takada, Tadaaki, Ito, Fumihito, Nunomiya, Shin, Koyama, Kansuke, Abe, Toshikazu, Andoh, Kohkichi, Kusumoto, Kohei, Hirata, Akira, Takaba, Akihiro, Kimura, Hiroyasu, Matsumoto, Shuhei, Higashijima, Ushio, Honda, Hiroyuki, Aoki, Nobumasa, Imai, Hiroshi, Ogino, Yasuaki, Mizuguchi, Ichiko, Ichikado, Kazuya, Nitta, Kenichi, Mochizuki, Katsunori, Hashida, Tomoaki, Tanaka, Hiroyuki, Nakamura, Tomoyuki, Niimi, Daisuke, Ueda, Takeshi, Kashiwa, Yozo, Uchiyama, Akinori, Sabelnikovs, Olegs, Oss, Peteris, Haddad, Youssef, Liew, Kong, Ñamendys-Silva, Silvio, Jarquin-Badiola, Yves, Sanchez-Hurtado, Luis, Gomez-Flores, Saira, Marin, Maria, Lemus, Jordana, Fierro, Jonathan, Cervantes, Mavy, Mejia, Francisco, Dector, Dulce M., Gonzalez, Daniel, Estrella, Claudia, Sanchez-Medina, Jorge, Ramirez-Gutierrez, Alvaro, George, Fernando, Aguirre, Janet, Buensuseso, Juan, Poblano, Manuel, Dendane, Tarek, Zeggwagh, Amine, Balkhi, Hicham, Elkhayari, Mina, Samkaoui, Nacer, Ezzouine, Hanane, Benslama, Abdellatif, Amor, Mourad, Maazouzi, Wajdi, Cimic, Nedim, Beck, Oliver, Bruns, Monique, Schouten, Jeroen, Rinia, Myra, Raaijmakers, Monique, Heunks, Leo, Van Wezel, Hellen, Heines, Serge, Strauch, Ulrich, Simonis, Fabienne, Goodson, Jennifer, Browne, Troy, Navarra, Leanlove, Hunt, Anna, Hutchison, Robyn, Bailey, Mathew, Newby, Lynette, Mcarthur, Colin, Kalkoff, Michael, Mcleod, Alex, Casement, Jonathan, Hacking, Danielle, Andersen, Finn, Dolva, Merete, Laake, Jon, Barratt-Due, Andreas, Noremark, Kim, Søreide, Eldar, Sjøbø, Brit, Guttormsen, Anne, Yoshido, Hector, Aguilar, Ronald, Oscanoa, Fredy, Alisasis, Alain, Robles, Joanne, Pasanting-Lim, Rossini, Tan, Beatriz, Andruszkiewicz, Pawel, Jakubowska, Karina, Coxo, Cristina, Alvarez, António, Oliveira, Bruno, Montanha, Gustavo, Barros, Nelson, Pereira, Carlos, Messias, António, Monteiro, Jorge, Araujo, Ana, Catorze, Nuno, Marum, Susan, Bouw, Maria, Gomes, Rui, Brito, Vania, Castro, Silvia, Estilita, Joana, Barros, Filipa, Serra, Isabel, Martinho, Aurelia, Tomescu, Dana, Marcu, Alexandra, Bedreag, Ovidiu, Papurica, Marius, Corneci, Dan, Negoita, Silvius, Grigoriev, Evgeny, Gritsan, Alexey, Gazenkampf, Andrey, Almekhlafi, Ghaleb, Albarrak, Mohamad, Mustafa, Ghanem, Maghrabi, Khalid, Salahuddin, Nawal, Aisa, Tharwat, Al Jabbary, Ahmed, Tabhan, Edgardo, Arabi, Yaseen, Trinidad, Olivia, Al Dorzi, Hasan, Bolon, Stefan, Smith, Oliver, Mancebo, Jordi, Aguirre-Bermeo, Hernan, Lopez-Delgado, Juan, Esteve, Francisco, Rialp, Gemma, Forteza, Catalina, De Haro, Candelaria, Albaiceta, Guillermo, De Cima-Iglesias, Sara, Seoane-Quiroga, Leticia, Ceniceros-Barros, Alexandra, Ruiz-Aguilar, Antonio, Claraco-Vega, Luis, Soler, Juan, del Carmen Lorente, Maria, Hermosa, Cecilia, Gordo, Federico, Prieto-González, Miryam, López-Messa, Juan, Perez, Manuel, Perez, Cesar, Allue, Raquel, Roche-Campo, Ferran, Ibañez-Santacruz, Marcos, Temprano, Susana, Pintado, Maria, De Pablo, Raul, Gómez, Pilar, Ruiz, Silvia, Moles, Silvia, Jurado, Teresa, Arizmendi, Alfons, Piacentini, Enrique, Franco, Nieves, Honrubia, Teresa, Cheng, Meisy, Losada, Elena, Blanco, Javier, Yuste, Luis, Carbayo-Gorriz, Cecilia, Cazorla-Barranquero, Francisca, Alonso, Javier, Alda, Rosa, Algaba, Ángela, Navarro, Gonzalo, Cereijo, Enrique, Diaz-Rodriguez, Esther, Marcos, Diego, Montero, Laura, Para, Luis, Sanchez, Roberto, Navalpotro, Miguel, Abad, Ricardo, González, Raquel, Toribio, Dácil, Castro, Alejandro, Artiga, Maria, Penuelas, Oscar, Roser, Tomas, Olga, Moreno, Curto, Elena, Sánchez, Rocío, Imma, Vallverdu, Elisabet, Garcia, Claverias, Laura, Magret, Monica, Pellicer, Ana, Rodriguez, Lucia, Sánchez-Ballesteros, Jesús, González-Salamanca, Ángela, Jimenez, Antonio, Huerta, Francisco, Diaz, Juan, Lopez, Esther, Moya, David, Alfonso, Alec, Luis, Palazon, Cesar, Palazon, Rafael, Sánchez, Virgilio, Corcoles, Recio, Noelia, Adamsson, Richard, Rylander, Christian, Holzgraefe, Bernhard, Broman, Lars, Wessbergh, Joanna, Persson, Linnea, Schiöler, Fredrik, Kedelv, Hans, Tibblin, Anna, Appelberg, Henrik, Hedlund, Lars, Helleberg, Johan, Eriksson, Karin, Glietsch, Rita, Larsson, Niklas, Nygren, Ingela, Nunes, Silvia, Morin, Anna-Karin, Kander, Thomas, Adolfsson, Anne, Zender, Hervé, Leemann-Refondini, Corinne, Elatrous, Souheil, Bouchoucha, Slaheddine, Chouchene, Imed, Ouanes, Islem, Souissi, Asma, Kamoun, Salma, Demirkiran, Oktay, Aker, Mustafa, Erbabacan, Emre, Ceylan, Ilkay, Girgin, Nermin, Ozcelik, Menekse, Ünal, Necmettin, Meco, Basak, Akyol, Onat, Derman, Suleyman, Kennedy, Barry, Parhar, Ken, Srinivasa, Latha, McAuley, Danny, Hopkins, Phil, Mellis, Clare, Kakar, Vivek, Hadfield, Dan, Vercueil, Andre, Bhowmick, Kaushik, Humphreys, Sally, Ferguson, Andrew, Mckee, Raymond, Raj, Ashok, Fawkes, Danielle, Watt, Philip, Twohey, Linda, Jha, Rajeev, Thomas, Matthew, Morton, Alex, Kadaba, Varsha, Smith, Mark, Hormis, Anil, Kannan, Santhana, Namih, Miriam, Reschreiter, Henrik, Camsooksai, Julie, Kumar, Alek, Rugonfalvi, Szabolcs, Nutt, Christopher, O'Neill, Orla, Seasman, Colette, Dempsey, Ged, Scott, Christopher, Ellis, Helen, MckKechnie, Stuart, Hutton, Paula, Di Tomasso, Nora, Vitale, Michela, Griffin, Ruth, Dean, Michael, Cranshaw, Julius, Willett, Emma, Ioannou, Nicholas, Gillis, Sarah, Csabi, Peter, Macfadyen, Rosaleen, Dawson, Heidi, Preez, Pieter, Williams, Alexandra, Boyd, Owen, De Gordoa, Laura, Bramall, Jon, Symmonds, Sophie, Chau, Simon, Wenham, Tim, Szakmany, Tamas, Toth-Tarsoly, Piroska, McCalman, Katie, Alexander, Peter, Stephenson, Lorraine, Collyer, Thomas, Chapman, Rhiannon, Cooper, Raphael, Allan, Russell, Sim, Malcolm, Wrathall, David, Irvine, Donald, Zantua, Kim, Adams, John, Burtenshaw, Andrew, Sellors, Gareth, Welters, Ingeborg, Williams, Karen, Hessell, Robert, Oldroyd, Matthew, Battle, Ceri, Pillai, Suresh, Kajtor, Istvan, Sivashanmugavel, Mageswaran, O'Kane, Sinead, Donnelly, Adrian, Frigyik, Aniko, Careless, Jon, May, Martin, Stewart, Richard, Trinder, T. John, Hagan, Samantha, Wise, Matt, Cole, Jade, MacFie, Caroline, Dowling, Anna, Nin, Nicolás, Nuñez, Edgardo, Pittini, Gustavo, Rodriguez, Ruben, Imperio, María, Santos, Cristina, França, Ana, Ebeid, Alejandro, Deicas, Alberto, Serra, Carolina, Uppalapati, Aditya, Kamel, Ghassan, Banner-Goodspeed, Valerie, Beitler, Jeremy, Mukkera, Satyanarayana, Kulkarni, Shreedhar, Lee, Jarone, Mesar, Tomaz, Shinn, John, Gomaa, Dina, Tainter, Christopher, Yeatts, Dale, Warren, Jessica, Lanspa, Michael, Miller, Russel, Grissom, Colin, Brown, Samuel, Bauer, Philippe, Gosselin, Ryan, Kitch, Barrett, Cohen, Jason, Beegle, Scott, Gueret, Renaud, Tulaimat, Aiman, Choudry, Shazia, Stigler, William, Batra, Hitesh, Huff, Nidhi, Lamb, Keith, Oetting, Trevor, Mohr, Nicholas, Judy, Claine, Saito, Shigeki, Kheir, Fayez, Schlichting, Adam, Delsing, Angela, Crouch, Daniel, Elmasri, Mary, Ismail, Dina, Dreyer, Kyle, Blakeman, Thomas, Baron, Rebecca, Grijalba, Carolina, Hou, Peter, Seethala, Raghu, Aisiku, Imo, Henderson, Galen, Hou, Sen-Kuang, Owens, Robert, Schomer, Ashley, Bumbasirevic, Vesna, Jovanovic, Bojan, Surbatovic, Maja, Veljovic, Milic, Laffey, John G, Madotto, Fabiana, Pham, Tài, Bajwa, Ednan K, Lorente, Jose A, Jiménez, Juan Ignacio Silesky, McAuley, Daniel F, and Slutsky, Arthur S

Published
2017
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239. The incidence, risk factors and prognosis of acute kidney injury in severe and critically ill patients with COVID-19 in mainland China: a retrospective study

Author

Sang, Ling, Chen, Sibei, Zheng, Xia, Guan, Weijie, Zhang, Zhihui, Liang, Wenhua, Zhong, Ming, Jiang, Li, Pan, Chun, Zhang, Wei, Xia, Jiaan, Chen, Nanshan, Wu, Wenjuan, Wu, Hongkai, Xu, Yonghao, Liu, Xuesong, Liu, Xiaoqing, He, Jianxing, Li, Shiyue, Zhang, Dingyu, Zhong, Nanshan, and Li, Yimin

Published
2020
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246. Chinese expert consensus on diagnosis and treatment strategies for novel coronavirus infection in immunocompromised populations (2023 edition).

Author

Ju, ChunRong, Wang, Meiying, Yuan, Jing, Xu, Yonghao, Xue, Wujun, Lu, Hongzhou, Li, Yimin, and Li, Shiyue

Subjects
COVID-19, SARS-CoV-2, CORONAVIRUS diseases, IMMUNOCOMPROMISED patients, VIRUS diseases, CORONAVIRUS disease treatment
Abstract

Since the coronavirus disease 2019 (COVID‐19) was identified in 2019, it has caused more than 664 million confirmed cases and more than 6.7 million deaths globally by January 20, 2023. So far, the novel coronavirus has undergone mutations from the original, Alpha, Delta, and Omicron strains. Omicron was first detected in South Africa in November 2021 and has since spread rapidly to more than 100 countries around the world, leading the World Health Organization (WHO) to classify it as a "variant of concern" for COVID‐19. Due to its stronger infectivity, faster transmission, and higher reinfection rate, it is more likely to cause immune evasion and infection breakthrough in the vaccinated population. Omicron has replaced Delta strain as the main epidemic strain imported from overseas and in China. People with immunodeficiency are more susceptible to the novel coronavirus due to abnormal immune function, and viral infections tend to be more lasting and severe. In addition, due to the existence of underlying diseases, most people with immunodeficiency have been taking immunosuppressants and other related drugs for a long time, and there are different degrees of interaction between novel coronavirus treatment drugs and original drugs, which brings great challenges to the diagnosis and treatment of people with immunodeficiency after infection with novel coronavirus. According to the Novel Coronavirus Infection Diagnosis and Treatment Protocol (Trial 10th Edition) issued by the National Health Commission, which emphasizes "strengthening the protection of key groups," people with immune deficiency belong to the high‐risk groups of severe or critical disease. Based on the evidence of evidence‐based medicine and after many discussions by experts from multiple disciplines (Department of Respiratory and Critical Care, Department of Organ Transplantation, Department of Rheumatology, Department of Hematology, Department of Infection, Department of Critical Care Medicine, etc.), 13 recommendations are summarized to provide theoretical and practical reference for the diagnosis and treatment strategy of this special population. [ABSTRACT FROM AUTHOR]

Published
2024
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247. Advance of microfluidic flow cytometry enabling high‐throughput characterization of single‐cell electrical and structural properties.

Author

Huang, Xukun, Chen, Xiao, Tan, Huiwen, Wang, Minruihong, Li, Yimin, Wei, Yuanchen, Zhang, Jie, Chen, Deyong, Wang, Junbo, Li, Yueying, and Chen, Jian

Abstract

This paper reported a micro flow cytometer capable of high‐throughput characterization of single‐cell electrical and structural features based on constrictional microchannels and deep neural networks. When single cells traveled through microchannels with constricted cross‐sectional areas, they effectively blocked concentrated electric field lines, producing large impedance variations. Meanwhile, the traveling cells were confined within the cross‐sectional areas of the constrictional microchannels, enabling the capture of high‐quality images without losing focuses. Then single‐cell features from impedance profiles and optical images were extracted from customized recurrent and convolution networks (RNN and CNN), which were further fused for cell‐type classification based on support vector machines (SVM). As a demonstration, two leukemia cell lines (e.g., HL60 vs. Jurkat) were analyzed, producing high‐classification accuracies of 99.3% based on electrical features extracted from Long Short‐Term Memory (LSTM) of RNN, 96.7% based on structural features extracted from Resnet18 of CNN and 100.0% based on combined features enabled by SVM. The microfluidic flow cytometry developed in this study may provide a new perspective for the field of single‐cell analysis. [ABSTRACT FROM AUTHOR]

Published
2024
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248. Sitagliptin Extends Lifespan of Caenorhabditis elegans by Inhibiting Insulin/Insulin-Like Signaling and Activating Dietary Restriction-Like Signaling Pathways.

Author

Ye, Qunshan, Li, Yimin, Wang, Cheng, Zheng, Jingming, Qiao, Jing, Yang, Jing, and Wan, Qin-Li

Subjects
*CAENORHABDITIS elegans, *CELLULAR signal transduction, *SITAGLIPTIN, *CD26 antigen, *REACTIVE oxygen species, *FREE radicals
Abstract

Introduction: The discovery of longevity molecules that delay aging and prolong lifespan has always been a dream of humanity. Sitagliptin phosphate (SIT), an oral dipeptidyl peptidase-4 (DPP-4) inhibitor, is an oral drug commonly used in the treatment of type 2 diabetes (T2D). In addition to being antidiabetic, previous studies have reported that SIT has shown potential to improve health. However, whether SIT plays a role in the amelioration of aging and the underlying molecular mechanism remain undetermined. Methods:Caenorhabditis elegans (C. elegans) was used as a model of aging. Lifespan assays were performed with adult-stage worms on nematode growth medium plates containing FUdR with or without the specific concentration of SIT. The period of fast body movement, body bending rates, and pharyngeal pumping rates were recorded to assess the healthspan of C. elegans. Gene expression was confirmed by GFP fluorescence signal of transgenic worms and qPCR. In addition, the intracellular reactive oxygen species levels were measured using a free radical sensor H2DCF-DA. Results: We found that SIT significantly extended lifespan and healthspan of C. elegans. Mechanistically, we found that several age-related pathways and genes were involved in SIT-induced lifespan extension. The transcription factors DAF-16/FOXO, SKN-1/NRF2, and HSF-1 played important roles in SIT-induced longevity. Moreover, our findings illustrated that SIT-induced survival benefits by inhibiting the insulin/insulin-like signaling pathway and activating the dietary restriction-related and mitochondrial function-related signaling pathways. Conclusion: Our work may provide a theoretical basis for the development of anti-T2D drugs as antiaging drugs, especially for the treatment of age-related disease in diabetic patients. [ABSTRACT FROM AUTHOR]

Published
2024
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249. Baloxavir marboxil use for critical human infection of avian influenza A H5N6 virus

Author

Guan, Wenda, Qu, Rong, Shen, Lihan, Mai, Kailin, Pan, Weiqi, Lin, Zhengshi, Chen, Liping, Dong, Ji, Zhang, Jiawei, Feng, Pei, Weng, Yunceng, Yu, Minfei, Guan, Peikun, Zhou, Jinchao, Tu, Chuanmeizi, Wu, Xiao, Wang, Yang, Yang, Chunguang, Ling, Yun, Le, Sheng, Zhan, Yangqing, Li, Yimin, Liu, Xiaoqing, Zou, Heyan, Huang, Ziqi, Zhou, Hongxia, Wu, Qiubao, Zhang, Wenjie, He, Jiayang, Xu, Teng, Zhong, Nanshan, and Yang, Zifeng

Published
2024
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