133 results on '"Ricardo Guijarro"'
Search Results
2. Soluble galectin‐3 as a microenvironment‐relevant immunoregulator with prognostic and predictive value in lung adenocarcinoma
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Susana Torres‐Martínez, Silvia Calabuig‐Fariñas, Andrea Moreno‐Manuel, Giulia Bertolini, Alejandro Herreros‐Pomares, Eva Escorihuela, Elena Duréndez‐Saéz, Ricardo Guijarro, Ana Blasco, Luca Roz, Carlos Camps, and Eloisa Jantus‐Lewintre
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biomarker ,lung adenocarcinoma ,sGAL‐3 ,TREG ,tumorspheres ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Despite the success of therapies in lung cancer, more studies of new biomarkers for patient selection are urgently needed. The present study aims to analyze the role of galectin‐3 (GAL‐3) in the lung tumor microenvironment (TME) using tumorspheres as a model and explore its potential role as a predictive and prognostic biomarker in non‐small cell lung cancer patients. For in vitro studies, lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) primary cultures from early‐stage patients and commercial cell lines were cultured, using tumorsphere‐forming assays and adherent conditions for the control counterparts. We analyzed the pattern of secretion and expression of GAL‐3 using reverse transcription–quantitative real‐time PCR (RTqPCR), immunoblot, immunofluorescence, flow cytometry, and immunoassay analysis. Our results using three‐dimensional (3D) models of lung tumor cells revealed that soluble GAL‐3 (sGAL‐3) is highly expressed and secreted. To more accurately mimic the TME, a co‐culture of tumorspheres and fibroblasts was used, revealing that GAL‐3 could be important as an immunomodulatory molecule expressed and secreted in the TME, modulating immunosuppression through regulatory T cells (TREGS). In the translational phase, we confirmed that patients with high expression levels of GAL‐3 had more TREGS, which suggests that tumors may be recruiting this population through GAL‐3. Next, we evaluated levels of sGAL‐3 before surgery in LUAD and LUSC patients, hypothesizing that sGAL‐3 could be used as an independent prognostic biomarker for overall survival and relapse‐free survival in early‐stage LUAD patients. Additionally, levels of sGAL‐3 at pretreatment and first response assessment from plasma to predict clinical outcomes in advanced LUAD and LUSC patients treated with first‐line pembrolizumab were evaluated, further supporting that sGAL‐3 has a high efficiency in predicting durable clinical response to pembrolizumab with an area under curve of 0.801 (P = 0.011). Moreover, high levels might predict decreased progression‐free survival and OS to anti‐PD‐1 therapy, with sGAL‐3 being a prognosis‐independent biomarker for advanced LUAD.
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- 2024
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3. Intubation with vivasight double-lumen tube versus conventional double-lumen tube in adult patients undergoing lung resection: A retrospective analysis
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Manuel Granell, Giulia Petrini, Pablo Kot, Mercedes Murcia, Javier Morales, Ricardo Guijarro, and José A de Andrés
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airway management ,fiberoptic bronchoscopy ,lung isolation ,standard double-lumen tube ,vivasight double-lumen tube ,Anesthesiology ,RD78.3-87.3 ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Objectives: The present study was designed to compare outcomes in patients undergoing thoracic surgery using the VivaSight double-lumen tube (VDLT) or the conventional double-lumen tube (cDLT). Design: A retrospective analysis of 100 patients scheduled for lung resection recruited over 21 consecutive months (January 2018–September 2019). Setting: Single-center university teaching hospital investigation. Participants: A randomized sample of 100 patients who underwent lung resection during this period were selected for the purpose to compare 50 patients in the VDLT group and 50 in the cDLT group. Interventions: After institutional review board approval, patients were chosen according to inclusion and exclusion criteria and we created a general database. The 100 patients have been chosen through a random process with the Microsoft Excel program (Microsoft 2018, Version 16.16.16). Measurements and Main Results: The primary endpoint of the study was to analyze the need to use fiberoptic bronchoscopy to confirm the correct positioning of VDLT or the cDLT used for lung isolation. Secondary endpoints were respiratory parameters, admission to the intensive care unit, length of hospitalization, postoperative complications, readmission, and 30-day mortality rate. The use of fiberoptic bronchoscopy was lower in the VDLT group, and the size of the tube was smaller. The intraoperative respiratory and hemodynamics parameters were optimal. There were no other preoperative, intraoperative, or postoperative differences between both groups. Conclusions: The VDLT reduces the need for fiberoptic bronchoscopy, and it seems that a smaller size is needed. Finally, VDLT is cost-effective using disposable fiberscopes.
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- 2022
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4. Selective T3–T4 sympathicotomy versus gray ramicotomy on outcome and quality of life in hyperhidrosis patients: a randomized clinical trial
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Vicente Vanaclocha, Ricardo Guijarro-Jorge, Nieves Saiz-Sapena, Manuel Granell-Gil, José María Ortiz-Criado, Juan Manuel Mascarós, and Leyre Vanaclocha
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Medicine ,Science - Abstract
Abstract Compensatory hyperhidrosis is the leading cause of patients' dissatisfaction after thoracic sympathicotomy. The study aimed to reduce compensatory hyperhidrosis to increase patients’ satisfaction. A prospective randomized study on palmar hyperhidrosis, May 2016–September 2019. Twenty-one patients T3–T4 sympathicotomy and 21 T3–T4 gray ramicotomy. Data prospectively collected. Analysis at study's end. Focus on the sweating, temperature, quality of life baseline and postoperatively, compensatory hyperhidrosis, hand dryness, patients' satisfaction, and if they would undergo the procedure again and recommend it. No baseline differences between groups. Hyperhidrosis was controlled postoperatively in all patients. No mortality, serious complications, or recurrences. Sympathicotomy worse postoperative quality of life (49.05 (SD: 15.66, IR: 35.50–63.00) versus ramicotomy 24.30 (SD: 6.02, IR: 19.75–27.25). After ramicotomy, some residual sweating on the face, hands, and axillae. Compensatory sweating worse with sympathicotomy. Satisfaction higher with ramicotomy. Better results with ramicotomy than sympathicotomy regarding hand dryness, how many times a day the patients had to shower or change clothes, intention to undergo the procedure again or recommend it to somebody else, and how bothersome compensatory hyperhidrosis was. T3–T4 gray ramicotomy had better results than T3–T4 sympathicotomy, with less compensatory sweating and higher patients' satisfaction.
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- 2021
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5. A new strategy in lung/lobe isolation in patients with a lung abscess or a previous lung resection using double lumen tubes combined with bronchial blockers
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Manuel Granell Gil, Ruben Rubio-Haro, Javier Morales-Sarabia, Elena Biosca Perez, Giulia Petrini, Ricardo Guijarro, and Jose De Andrés
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airway management ,bronchial blocker ,double-lumen tube ,Anesthesiology ,RD78.3-87.3 ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
The combined use of a double-lumen tube and a bronchial blocker can be very helpful in two different clinical scenarios: (1) in isolating not only the contralateral lung, but also the lobe/s of the same lung in which the infected lobe must be resected, (2) in preventing/treating hypoxemia because of the presence of a contralateral lobectomy. A cardiothoracic anesthesiologist must expertise this technique to avoid complications during surgery.
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- 2022
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6. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts
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Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Glasbey, James C, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Li, Elizabeth, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Nepogodiev, Dmitri, Norman, Lisa, Ots, Riinu, Outani, Oumaima, Picciochi, Maria, Santos, Irène, Shaw, Catherine, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, Xu, William, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Modolo, Maria Marta, Cox, Daniel, Pockney, Peter, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Padmore, Greg, van Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Baiocchi, Glauco, Gomes, Gustavo Mendonça Ataíde, Lima Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Brar, Amanpreet, Martin, Janet, Ng-Kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong-Lin, Calvache, Jose Andres, Perez Rivera, Carlos J-, Danic Hadzibegovic, Ana, Kopjar, Tomislav, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango-Naranjo, Eddy, Emile, Sameh, Arévalo Sandoval, Danilo Alfonso, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Kwesi Acquah, Daniel, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Ghosh, Dhruva, Kembuan, Gabriele, Brouki Milan, Peiman, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Satoi, Sohei, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin-Young, Jang, Jamal, Mohammad, Karout, Lina, Elhadi, Muhammed, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Roslani, April Camilla, Durán Sánchez, Iran Irani, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Ramos-De la Medina, Antonio, Nunez, Jade, Outani, Oumaima, Nashidengo, Pueya Rashid, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Varghese, Chris, Wright, Deborah, Abdur-Rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi-Olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Qureshi, Ahmad Uzair, Sayyed, Raza, Abo Mohsen, Mustafa, Abukhalaf, Sadi A., Cukier, Moises, Gomez-Fernandez, Hugo, Shu Yip, Sebastian, Vasquez Ojeda, Ximena Paola, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard-Alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Allen Ingabire, Jc, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Jean de Dieu, Haragirimana, Munyaneza, Emmanuel, Ncogoza, Isaie, Alameer, Ehab, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Blanco-Colino, Ruth, Minaya Bravo, Ana Maria, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam Essa Adam, Mohammed Elmujtba, Rutegård, Martin, Sund, Malin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Lohsiriwat, Varut, Charles, Shane, Isik, Arda, Leventoğlu, Sezai, Lekuya, Hervé Monka, Lule, Herman, Kopetskyi, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead-Kendall, Brittany, Breen, Kerry, Kaafarani, Haytham, Mashbari, Hassan, Bonilla Cal, Fernando, Al-Naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Adamina, Michel, Akhbari, Melika, Bhanderi, Shivam, Biccard, Bruce, Chakrabortee, Sohini, Costas-Chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, Grace James, Harelimana, Griffiths, Ewen, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk-Iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, McKay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vidya, Raghavan, Wright, Naomi, Wuraola, Funmilola, Agastra, Ervis, Thereska, Dariel, Dajti, Irida, Lucchini, Sergio Martin, Laudani, Veronica, Boccalatte, Luis, Chwat, Carina, Pedraza Salazar, Ivana Ines, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Calderón Arancibia, José Alfredo, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Pockney, Peter, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Rahman Mitul, Ashrarur, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, van Ramshorst, Gabrielle, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Sèmèvo Romaric, Lawani, Ismaïl, Cerovac, Anis, Vieira Barros, Aldo, Aguiar Júnior, Samuel, Baiocchi, Glauco, Campos, Heloisa Galvão do Amaral, Gross, Jefferson, José Fernandez Coimbra, Felipe, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Pedreira Duprat Neto, Joao, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Slavchev, Mihail, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Martin, Janet, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St-germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, MacKenzie, Shawn, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Olivos, Maricarmen, Bolivar Saenz, Dinimo, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Pedraza Alonso, Nestor Fabian, Ortiz Silva, Camilo, Perez Rivera, Carlos J-, Rodriguez, Juliana, Silva-Igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Nieto Calvache, Albaro José, Balanta-Melo, Julián, Figueroa - Casanova, Rafael, García-Montoya, Oscar-Julián, Marulanda Toro, Carlos Andres, Mendoza Arango, Maria Clara, Diaz Martinez, Eneida, Gutiérrez Perdomo, Valentina, Calvache, Jose Andres, Montenegro, Emileth, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Novysedlák, René, Rodriguez-Abreu, Julia, Lincango-Naranjo, Eddy, Abouelnagah, Galal, Shehata, Sameh, Hossam Eldin Fouad Rida, Ahmed, Hassan, Ramy A., Saad, Mahmoud M., Reda Loaloa, Mohamed, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Emile, Sameh, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Arévalo Sandoval, Danilo Alfonso, Abebe, Metasebia, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Hailu, Samuel, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Mengesha, Mengistu G, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Kauppila, Joonas H, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Zarzavadjian Le Bian, Alban, Harper, Luke, Danguy des Déserts, Marc, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Subayi Nkembi, Armande, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre-Alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin-Givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Arnaud, Alexis P, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne-Cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Demetrashvili, Zaza, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler-Seyfried, Marie-Claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Albertsmeier, Markus, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch von, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Gutiérrez Ruiz, Alitza, Rodas, Alejandra, Portilla, Ana Lucía, Recinos, Gustavo, Aguilera-Arevalo, Maria-Lorena, Carrera, Jacqueline, Barrios Duarte, Amalia, Lowey, Megan, Barillas, Sabrina, Vaishnav, Dhaivat, Gorantlu Chowdappa, Raghunandan, Madabhavi, Irappa, Bhat, Dhananjaya, Kumar Venkatappa, Sunil, Thakar, Sumit, Jain, Kavitha, Kumar, Aruna, Nagar, Manoj, Mishra, Tushar, Sekar, Arunkumar, Gupta, Anand, Kaman, Lileswar, Karthigeyan, Madhivanan, Tripathi, Manjul, Rammohan, Ashwin, Othiyil vayoth, Sudheer, Rajanbabu, Anupama, Subbian, Anbukkani, Gupta, Rahul, Raut, Monish, Evelyn. R, Nissi, Kannaiyan, Lavanya, Matai, Dr. Anil, Misra, Sanjeev, Bhende, Vishal, Muthu, Sathish, Ghosh, Indranil, Sharma, Abhishek, Bajaj, Ankur, Rajan, Shiv, Agarwal, Gaurav, Pawar, Pranay, Alexander, Philip, Vijayakumar, M, Hameed, BM Zeeshan, L, Badareesh, Chaudhry, Navneet Kumar, Baliarsing, Lipika, Dharap, Satish, Kulkarni, Amruta, Thyavihally, Yuvaraja, Pramesh, C S, Soni, Rajesh, Dube, Surya Kumar, Sharma, Shilpa, Singh, Harvinder, Bains, Lovenish, Ghodke, Rahul, Kumar, Ashwani, Sodhai, Vivek, Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, N, Ranganath, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Rezghi Maleki, Esmaeil, Yousefzadeh Kandevani, Naser, Ikele, Hilary, McNestry, Catherine, Fleming, Christina, O’Brien, Stephen, Abd Elwahab, Sami, Davis, Niall, Javadpour, Mohsen, McDonnell, Brendan, O Connor, Clare, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, Cullinane, Carolyn, Creavin, Ben, Muheilan, Muheilan, Earley, Helen, Kabir, Syed Mohammad Umar, Fahadullah, Muhammad, Ryan, Éanna, Connelly, Tara, Zmora, Oded, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., Ayasra, Faris, Qasem, Abdulrahman, Alawneh, Yazan, Ahmad, Amer, Aladawi, Omar, Alrayes, Bourhan, Haidar, Hanan, Husain, Shatha, Qassem, Faisal, Sumadi, Adnan, Al-Manaseer, Balqees Mahmoud, Alsunna, Zaid, Ra’ed, Hazim, Reyad Bani Hamad, Faten, Abuleil, Amro, Abou Chaar, Mohamad K., Jimaale, Elmi Ahmed Mohamed, Abu-Mehsen, Marah, Olaywah, Noor, Wafi, Omar, Ababneh, Hazim, Abu-Ismail, Luai, Khamees, Almu’atasim, Alkhatib, Ahmad, Bolatbekova, Raikhan, Kulimbet, Mukhtar, Nurgozhin, Talgat, Saliev, Timur, Zhussupov, Baurzhan, Almabayev, Ydyrys, Fakhradiyev, Ildar, Kaidarova, Dilyara, Tamoos, Khalil, Aqeelah, Ahmed, Khalefa mohammed, Alsnosy abdullah, Al maadany, Faraj, Alkadeeki, Ghadah, Gahwagi, Milad, Aldressi, Wafa, Amnaina, Mohamed, Alansari, Arowa hassan abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Ben Amer, Anass, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Ben jouira, Rayet al islam, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Roslani, April Camilla, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Nashidengo, Pueya Rashid, Noltes, Milou, Steinkamp, Pieter, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, Kieser, David, Mohyieldin, Omar, Varghese, Chris, McIntosh, Nick, Haran, Cheyaanthan, Rennie, Sarah, King, Jasmin, Ha, Jeong, McGuinness, Matthew James, Adesanya, Opeoluwa, Olaogun, Julius, Akinmade, Akinola, Bwala, Kefas, Agbonrofo, Peter, Afolabi, Akinwale, Usang, Usang, Ekenze, Sebastian, Olori, Samson, Lawal, Taiwo Akeem, Seyi-Olajide, Justina, Okunlola, Abiodun, Williams, Omolara, Adisa, Adewale, Abdur-Rahman, Lukman, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty-John, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Pejkova, Sofija, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Usman Malik, Muhammad, Yaqoob, Hassan Nawaz, Cukier, Moises, Falcon Pacheco, Glenda Marina, Mas Melendez, Robinson, Paucar Urbina, Arazzelly Del Pilar, Rios Chiuyari, Jose, Otiniano Alvarado, Carlos Eduardo, Fuentes Rivera Lau, Lorena, 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Emileth, Genda, Eben-ezer, Eboma, Fabrice, Grulović, Karlo, Bosak Versic, Ana, Srsen Medancic, Suzana, Brkic, Lucija, Cokarić, Sara, Tomić, Josipa, Brzic, Domagoj, Dijan, Emilio, Grgec Dragicevic, Maja, Konjevoda, Suzana, Morović, Domagoj, Perišić, Gordan, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Biočina, Bojan, Bobovec, Dino, Bumber, Boris, Duric Vukovic, Katarina, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Pasini, Miram, Penezić, Luka, Prstacic, Ratko, Romić, Ivan, Tomic, Mislav, Luksic, Ivica, Avilés Jiménez, Pablo Mijahil, Panayiotou, Yiannis, Stavrinidou, Olga, Yiallourou, Anneza, Michal, Burda, Lukáš, Gawel, Wladyslaw B., Lerch, Milan, Macečková, Nicole, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Přibyl, Martin, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Hviid, Louise, Kristensen, Helle Ø, Paulsen, Laerke, Ebbehøj, Anders Lyng, Jönsson, Maria Lovisa, Krarup, Peter-Martin, Otte, Helena, Smith, Henry, Bælum, Jens Kristian, Ellebæk, Signe Bremholm, Batista, Sylvia, Collado Expósito, María Mabel, Crespo, Aldo, D’óleo García, Claudio Samuel, Figueroa, Jatnna, Garcia-Dubus Rodriguez, U, Guzman, Lillian, Lopez, Ariela, Maletta Francisco, Leeany, Munoz, Herisardy, Perez Fernandez, Maricely Ambar, Rodríguez, Ada, Soto, Joel, Ubinas, Raul, Villegas, Aaron, Acra-Tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Díaz Vásquez, Pedro Pablo, Fernandez, Damaris, Figueroa Germosen, Jiomar Manuel, Mejia De la Cruz, Dolores, Ortiz De La Cruz, Fabio, Pelletier, Gabriela, Próspero Enrique, Rodriguez Pumarol, Suero Almanzar, Irina, Lincango-Naranjo, Eddy, Negrete Ocampo, José Ricardo, Sallam, Ibrahim, Sherief, Mohamed, Abdou, Mostafa, Abo Shanab, Ahmed, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Abouelnagah, Yossof, Adel, Dina, Ahmed, Sara, Alberkamy, Abdelrahman, Ali, Ahmed, Ashraf, Olfat, Darwish, Sara, El kharashy, Rasha, Elbadawy, Seifeldin, Elsaka, Alromisaa, Ewedah, Moataz, Ezz, Yara, Gadelrab, Ziyad, Hafez, Nour, Hafez, Youssef, Hassanin, Mohamed, Hussein Aly Salama Aly, Hamza, Ibrahim, Abdelrahman, Mahmoud Abo shabana, Alaa, Mourad, Mohamed, Mubarek, Kamilia, Omar, Samaa, Ragal, Marawan, Romany, John, Salem, Alaa, Samir Abdelaal, Ahmed, Shehata, Sameh, Shehata, Abdelrahman, Shenit, Karim, Yehia, Nermin, Khaled Mohamed Eid, Omar, Ibrahim Elsayed, Omar, Shehata, Mostafa Ahmed, Abd El-Ghani, Wael, Abd Elazeem, Hossam Aldein S., Abdalla, Shimaa, Abdel-Aleem, Mahmoud, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abubeih, Hossam, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Ahmed Saad, Sarah, Ali, Abdelrahman Ahmed Abdelrahman, Elmaghraby, Khaled, Elsdfy, Shady, Eltayeb, Almoutaz, Essam, Esraa, Gadelkareem, Rabea, Ghoneim, Ahmed, Hamada Takrouney, Mohammed, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Mahran, Wesam, Mahrous, Doha, Ragab, Abdelrahman, Sabry, Aya, Safwat, Hadeer, Saleh, Ahmed, Samir, Ahmed, Sayed, Esraa, Taher, Mohamed Gamal, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Zein Elabedeen, Omar, Ali, Samar, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Hamdy, Mahmoud, Hassan, Gehad, Nowar, Mostafa, Sabry, Hesham, Tarek Said-elnaby, Ahmed, Zahed, Mohamed, Zahran, Mohamed, Zoghary, Ahmed Zaki, Atef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, El Fiky, Lobna, ElGarhy, Ibrahim, Qassem, Mohamed, Wahba, Abdelrahman, Youssif Omar Fouad, Omar, Abdelsamed, Ahmed, Elsalhy, Mohamed, Eldesouky, Omnia, Wael Mostafa Khalil Bahi, Abdullah, Tawheed, Ahmed, Al-oribi, Saeid, Aly, Nuran Khaled, ElFiky, Mahmoud, Nabil, Ahmed, Samir Farahat, Ahmed, Soliman, Mostafa, Ghaly, Galal, Abbas, Alzhraa Salah, Ibraheem, Maher, Bakry, Abdelrahman, Jammal, Mohamed, M Makram, Abdelrahman, Adel abdelaty, Ahmed, Fayad, Elsayed A., Sallam, Moataz, Shehta, Ahmed, Elfeki, Hossam, Elsaid, Mahmoud, Mostafa, Mohamed, Sakr, Ahmed, Shetiwy, Mohamed, Tawakl, Noura, Yunes, Asmaa, Atallah, Khalid, Shetiwy, Mosab, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Elsabagh, Alaa, Elshabrawy, Enas, Hafez, Ahmed, Mikhail, Pola, Mohamed, Mervat, Nada, Ahmed, Omran, Janna, Salem, Osama, Selim, Salma, Shalaby, Ghada, Wahbah, Mahmoud, Zakaria Abdelbary, Eman, Zayan, Ahmad Helmy, Afify, Abdelrahman, Mohamed Ahmed, Mostafa, Abdeldayem, Hesham, Abdelkader Salama, Ibrahim, Ammar, Khaled, Ayoub, Islam, Gad, Emad Hamdy, Hammad, Essam, Macshut, Mahmoud, Sherif, Ahmed Elshawadfy, Shoreem, Hany, Soliman, Hossam Eldeen, Eldaly, Abdullah, Mashaly, Sarah, Abd-Elsalam, Sherief, Abdel-Elsalam, Wafaa, Morsy, Mohamed Sherif, Nasreddin, Mohammed, Sarsik, Sameh, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abebe, Kirubel, Asfaw, Fitsum, Eshete, Mahder, Gedefaw, Yetsedaw, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Teklu, Daniel, Tirfe, Leake, Worku, Bereket, Eado, Yegeremu, Negussie, Abraham, Woldemariam, Mersha Abebe, Alemu, Megersa, Azmach, Dawit, Mamo, Dr.Mickyas, Menkir, Abel, Woldemariam, Dereje, Wubishet, Estifanos, Supha, Melka, Abebe, Nebyou, Chanie, Abera, Gebre, Hiwot, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Sahlu, Abat, Tiruneh, Abraham Genetu, Zewdneh, Betelhem, Fentaw, Jibril, Tabore, Ketema, Addisalem, Abreha, Tassew, Abdissa, Desalegn, Tesfaw, Mequannet, Asmamaw, Dawit, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Girma, Adissu, Shimelash, Dagim, Ayalew, Tewabe, Kassahun, Berhanu, Mulugeta, Esubalew, Sisay, Silamlak, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, Derilo, Habtamu, Eliyas, Nebiyu, Deressa, Yadani, Melese, Lemi, Muleta, Lemesa, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Dr.Gebreagziabher, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Moukoko, Didier, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Doussot, Alexandre, Onorati, Ilaria, Radu, Dana, André, Benoît, Marion, Herjean, Trilling, Bertrand, Boleslawski, Emmanuel, Noiret, Barbara, Aubry, Estelle, Subayi Nkembi, Armande, Christou, Niki, Usseglio, Julie, Jeandel, Clement, Denis, Waast, Duchalais, Emilie, Regenet, Nicolas, Rigaud, Jerome, Anract, Philippe, Dohan, Anthony, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Crétolle, Célia, Thouement, Clermidi, Pauline, Hervieux, Erik, Langlais, Tristan, Leonelli, Lorenzo, Thomin, Anne, Athiel, Yoann, Cathala, Nathalie, Levy-Zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Fabrice, Chartier-Kastler, Emmanuel, Chereau, Nathalie, Melot, Charlotte, Turco, Célia, Chouillard, Elie, Boisson, Matthieu, Frasca, Denis, Livin, Marie, Mahmoud, Fedy, Sulpice, Laurent, Arnaud, Alexis P, Cazemajou, Clément Thierry, Nyangoh Timoh, Krystel, Renault, Annaëlle, Nappi, Francesco, Ezanno, Anne-Cecile, Cherkaoui, Zineb, Vix, Michel, Gornes, Hugo, Berthoumieu, Pierre, Misrai, Vincent, Pierre, Trocard, Angeles, Martina Aida, Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, Modabber, Ali, Schäfer, Benedikt, Wallqvist, Julia, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Goßlau, Yvonne, Maksymiw, Florian, Sommer, Florian, Sommer, Björn, Loch, Florian N, Aghalarov, Ilgar, Braumann, Chris, Höhn, Philipp, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Bork, Ulrich, Meisel, Cornelia, Petzold, Andrea, Fluegen, Georg, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Schnitzbauer, Andreas, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schlager, Daniel, Strähle, Jakob, Spelsberg, Fritz, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Keppler, Lena, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, Ronellenfitsch, Ulrich, Thomssen, Christoph, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Klauke, Friederike, Schmidt, Birte, Vinz, Franziska, Sander, Johannes, Betz, Christian Stephan, Bewarder, Julian, Burg, Simon, Klatte, Till Orla, König, Daniela, Köpke, Leon-Gordian, Stangenberg, Martin, Roux, Frederic, Hakami, Ibrahim Abdullah, Mall, Julian W, Graeb, Christian, Huber-Strößner, Kristin, Pempe, Christina, Kelly, Kathrin, Siebert, Julia, Agrawal, Rachit, Gousias, Konstantinos, Qureischie, Homeira, Meyer, Frank, Rissmann, Anke, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Rassweiler-Seyfried, Marie-Claire, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, Gempt, Jens, Schäffer, Christoph, Wegmann, Helmut, Aghamaliyev, Ughur, Böcker, Wolfgang, von Ehrlich-Treuenstätt, Viktor H., Ladurner, Roland, Schlager, Justin Gabriel, Smolka, Wenko, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Stadler, Josef, Hölz, Katharina, Brunner, Stefan M., Prantl, Lukas, Herzberg, Jonas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Reinhard, Tobias, Löffler, Markus W., Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, Pusch von, Silke, Schmidbauer, Stefan, Boenicke, Lars, Degener, Stephan, Seiberth, Rose, Smit, Marieke, von Rundstedt, Friedrich-Carl, Germer, Christoph-Thomas, Lock, Johan, Lotz, Christopher, Schlesinger, Tobias, Schmid, Benedikt, Treutlein, Agnes, Agyeman-Duah, Nana Kwaku, Appiah, Enoch, Gakpetor, Delali, Minlah Allah, Stephen, Adu-Aryee, Nii Armah, Agboadoh, Nelson, Bediako Bowan, Antoinette, Brown, George Darko, Clegg-Lamptey, Joe-Nat, Fenu, Benjamin Sena, Kumassah, Philemon, Hussey, Romeo, Agbeno, Evans Kofi, Amoako-Boateng, Mabel, Debrah, Samuel, Doku, Dr Kingsley, Mensah, Philip, Nortey, Michael, Opandoh, Isabella Naa Morkor, Yigah, Makafui, Jiagge, Nuna, Acquaye, Jane, Agyemang-Prempeh, Akosua, Amo-Antwi, Kwabena, Amoah, Michael, Amoah, George, Aning, Daniel Gyawu, Annor Mintah, Dominic, Arthur, Joshua, Darko- Asante, Regina, Gaveh, Valerie, Gyamfi, Frank Enoch, Jonathan, Boakye - Yiadom, Konney, Thomas Okpoti, Kyei, Ishmael, Nimako, Boateng, Ofosu-Barko, Ben Blay, Osabutey, Anita, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abdul-Mumin, Alhassan, Amadu, Munira, Azahares Leal, German, Buunaaim, Alexis, Cheyuo, Ernest, Daboo Salifu, Latif, Issaka, Adamu, Yakubu, Musah, Grypiotis, Ioannis, Papadopoulou, Triada, Korkolis, Dimitrios, Thomakos, Nikolaos, Dellaportas, Dionysios, Dimitra, Papalouka, Hadjizacharias, Theodoros, Konstadoulakis, Manousos, Massaras, Dimitrios, Vezakis, Antonios, Avgerinos, Konstantinos, Kechagias, Aristotelis, Ioannidis, Argyrios, Patelis, Nikolaos, Deskou, Eirini, Stamos, Nikolaos, Tasis, Nikolaos, Danias, Nikolaos, Selmani, Jonida, Kalamatianos, Theodosis, Stranjalis, George, Kondilis, Panagiotis, Kanellopoulou, Vasiliki, Larentzakis, Andreas, Papanikolaou, Vasileios, Potamianos, Spyridon, Triantafyllou, Tania, Panagiotou, Peter, Avramidis, Emmanouil, Bessias, Nikolaos, Tsiantoula, Paraskevi, Charalabopoulos, Alexandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Papalampros, Alexandros, Terras, Alexis, Tsourouflis, Gerasimos, Zografos, Constantinos, Antzaka, Christina, Falara, Areti, Perreas, Konstantinos, Rellia, Panagiota, Tasouli, Androniki, Skolarikos, Andreas, Tzelves, Lazaros, Theodorakis, Emmanuel, Karona, Paraskevi, Tzouganakis, Angelos, Chrysos, Emmanuel, Nikolouzakis, Taxiarchis, Tourountzi, Paraskevi, Al, Aggeliki, Kalfountzos, Christos, Arnaoutoglou, Eleni, Christodoulidis, Gregory, Gkolias, Nick, Hajiioannou, Jiannis, Krestinidis, Giorgos, Ntalouka, Maria, Saini, Fani, Skoulakis, Charalampos, Terzoudis, Christos Dimitrios, Zacharoulis, Dimitris, Δακής, Κωνσταντίνος, Filo, Eva, Kontopoulou, Konstantina, Patoulias, Ioannis, Astreidis, Ioannis, Christidis, Panagiotis, Loutzidou, Lydia, Mantevas, Antonis, Tatsis, Dimitris, Tsakiridis, Ioannis, Iordanidou, Eirini, Brolo, Estuardo, Gutiérrez Ruiz, Alitza, De León Lima, María Alejandra, Flores, Mario-Andrés, Morales, Steffanía, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Barrios Duarte, Amalia, Talé-Rosales, Luis-Fernando, Villeda, Sergio Alejandro, Anicetti, Joshua, Lowey, Megan, Ardebol, Javier, Barillas, Kathia, Barillas, Sabrina, Recinos, Salvador, Hon, Sophie, Liu, Alex Qinyang, Liu, Shirley, Ip, Ho Wai, Mak, Brian, Mok, Chung Ying, Wong, Kiu Fung, Au-Yeung, Kit Ying, Chan, David Yuen Chung, Chiu, Wang Kei, Ho, Jacky Yan Kit, Kung, Janet Wui Cheung, Ling, Samuel Ka Kin, Lok, Hon Ting, Teoh, Jeremy Yuen-Chun, Wong, Randolph, Antal, Zsuzsanna, Bahrehmand, Kiarash, Sztipits, Tamás, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Herczeg, György, Saftics, György, Kulcsicka-Gut, Judit, Sipos, Zsófia, Majmudar, Hardil, Madabhavi, Irappa, G S, Anitha, Kesarla, Venkatesh, Kumar Venkatappa, Sunil, P B, Hareesh, Shivashankar Chikkanayakanahalli, Santhosh, Sunil, Tanvi, Rajagopal, Niranjana, P L, Thirumanikandan, Mishra, Nitu, Wadhwani, Dr Rekha, Dhurwe, Ritika, Pushpalatha, Kameshwarachari, Raj, Sumit, Singh, Pooja, Kumar, Pankaj, Mittal, Yash, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Sahu, Rabi, Sultania, Mahesh, Tripathy, Sujit, Kansay, Rajeev, Gupta, Sunil Kumar, Kaman, Lileswar, Salunke, Pravin, Singh, Kavindra, Rela, Mohamed, Goudar, Swati, B, Barani kumar P, Murugesan, Anandan, Subbian, Anbukkani, Kumar, Arvind, Chauhan, Tapan singh, Govil, Akhil, Gupta, Shubhra, Sharma, Ashish, Tiwari, Saurabh, Vishwani, Vartika, Evelyn. R, Nissi, Deb, Mainak, Jayaram, Harish, Nagpal, Pooja, Pathak, Prachi, Choudhary, Gautam Ram, Chugh, Ankita, Elhence, Abhay, Madduri, Vijay, Pandey, Himanshu, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Vishnoi, Jeewan Ram, Bhende, Vishal, Chatterjee, Debarshi, Ghosh, Indranil, Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Bajaj, Ankur, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Rajan, Shiv, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Agarwal, Gaurav, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Jain, Ritu, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Alexander, Philip, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, Dharap, Satish, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Abraham, Bejoy, Asari, Ashishkumar, Badhe, Vivek, Badhwar, Sanjiv, Bothara, Vipul, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Ghugare, Dr bhavisha, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vinay, Kalwadia, Neha, Kayal, Akshat, Kulkarni, Yogesh, Mistry, Rajesh, Mulchandani, Manoj, Parab, Dr. Mrunal, Pednekar, Abhinav, Rahmani, Faizan, Rajput, Sunil, Sandlas, Gursev, Sarkar, Hrishikesh, Shetty, Sanket sadanand, Shukla kulkarni, Anshumala, Thete, Raghavendraswami, Wasnik, Shruti, Dhumane, Parag, Sharma, Rahul Deo, Deshmukh, Anuja, Gupta, Stuti, Nayak, Prakash, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Soni, Rajesh, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bains, Lovenish, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Ghodke, Rahul, Himani, Kumar, Ashwani, Gadekar, Anup, Panjwani, Taufiq, Maji, Suvendu, Basu, Somprakas, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Mahakalkar, Chandrashekhar, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, Mehraj, Asif, Parray, Fazl, Shah, Raahil, Wani, Rauf, Hegde, Siddhi, Ankadavar, Dr.sushil, Bafna, Darshan, Lad, Parag, Chisthi, Meer, Jothi, Harihara, .C. Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Mittal, Rohin, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Pour, Ali Moazami, Azarnia, Gholamreza, Alizadeh, Narges, Mokarami, Hossein, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Yousefzadeh Kandevani, Naser, Mortazavi, SM Javad, Ahmadi, Sayedali, Khosravi, Mohammad Hossein, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Hilmi, Ahmed, Muhssein, Haidar, McNestry, Catherine, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Fleming, Christina, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, O’Brien, Stephen, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Croghan, Stefanie M, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, Cullinane, Carolyn, Dowdall, Joseph, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Murphy, Ben, Njeze, Nwabundo, Reynolds, Ian Sean, Winter, Des, Ravi, Akshaya, Ridgway, Paul, Fowler, Amy, McAnena, Peter, Bahadoor, Muhammad Usaama, Kabir, Syed Mohammad Umar, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, Ryan, Éanna, Sara, Al-Mukhaizeem, Youssef, Crowley, Clare, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Hill, Rhodri, Khalid, Muhammad Abdullah, Majeed, Zubair, McCullough, Peter, Neary, Peter, Noone, Anthony, O’Kelly, John, Abu abed, Arsan, Haim, Nadav, Hershkovitz, Yehuda, Majadla, Omar, Rabin, Igor, Zmora, Osnat, Demma, Yonatan Avraham, Fishman, Yuri, Farkas, Amicur, Gozal, Yaacov, Greenman, Dmitry, Ostrovsky, Israel Alexander, Pardes, Rivka, Shahar, Tal, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Cianci, Pasquale, Minafra, Marina, Restini, Enrico, Bussolin, Edoardo, De Prizio, Marco, Sulce, Rezart, Poiasina, Elia, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Boussedra, Safia, Cescon, Matteo, Cipolli, Alessandro, Daddi, Niccolo’, De Crescenzo, Eugenia, De Iaco, Pierandrea, Del Gaudio, Massimo, Della Gatta, Anna Nunzia, Droghetti, Matteo, Giorgini, Federico A., Lanci Lanci, Antonio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Perrone, Anna Myriam, Pignatti, Marco, Puglisi, Silvana Bernadetta, Rottoli, Matteo, Schiavina, Riccardo, Serenari, Matteo, Serra, Margherita, Tesei, Marco, Violante, Tommaso, Aspide, Raffaele, Carretta, Alessandro, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Rosetti, Vittoria, Sturiale, Carmelo, Donati, Davide Maria, Palmerini, Emanuela, Berselli, Bruno, Bolognesi, Silvia, Farnia, Francesco, Maremonti, Pietro, Razzaboni, Alessandra, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Molfino, Sarah, Panciani, Pier Paolo, Sartori, Enrico, Zanin, Luca, Perrone, Fabrizio, Cappellani, Alessandro, Giaquinta, Alessia, Gioco, Rossella, Veroux, Pierfrancesco, Cianci, Antonio, Lo Giudice, Arturo, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, De Paola, Gilda, Giannaccare, Giuseppe, Sammarco, Giuseppe, D’Andrea, Marcello, Tosatto, Luigino, Mucilli, Felice, Muraglia, Angelo, Giuliani, Domenico Benvenuto, Segalini, Edoardo, Daniele, Alberto, Gelarda, Enrico, Olearo, Elena, Puppo, Andrea, Testa, Valentina, Porta, Andrea, Birindelli, Arianna, Bernabei, Massimiliano, Feo, Carlo V., Virgilio, Edoardo, Bartolini, Ilenia, Bottari, Andrea, Checcucci, Carlotta, De Vincenti, Rosita, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Maltinti, Gherardo, Taddei, Antonio, Michelagnoli, Stefano, Maccagnano, Giuseppe, Pesce, Vito, Ercolani, Giorgio, Fappiano, Francesca, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Ferrero, Simone, Sparavigna, Marco, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, Spampinato, Marcello Giuseppe, Chiarelli, Marco, Grandi, Samuele, Lenzi, Riccardo, Muscatello, Luca, Germano’, Antonino Francesco, Giani, Alessandro, Bissacco, Daniele, Cassinotti, Elisa, Pignataro, Lorenzo, Torretta, Sara, Armellin, Daniele, Basato, Silvia, Carrano, Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, D’amico, Maria, Izzo, Francesco, Marra, Ester, Marte, Gianpaolo, Bianco, Francesco, Cappiello, Antonio, Iovino, Claudio, Menna, Maria Paola, Romano, Francesco maria, Rossi, Settimio, Sciaudone, Guido, Ascari, Francesca, Bellora, Paolo, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Chioffi, Franco, Ciccarino, Pietro, Nezi, Giulia, Bissolotti, Guido, Di Donna, Mariano Catello, Licari, Leo, Salamone, Giuseppe, Toia, Francesca, Annicchiarico, Alfredo, Berretta, Roberto, Capozzi, Vito Andrea, Freyrie, Antonio, Frusca, Tiziana, Arici, Vittorio, Bozzani, Antonio, Filardo, Matteo, de Manzoni Garberini, Andrea, Cauteruccio, Michele, Caristo, Giuseppe, Calabrò, Marcello, Andreani, Lorenzo, Antonio, D’arienzo, Berrettini, Stefano, Colangeli, Simone, Cremonini, Camilla, Dallan, Iacopo, Di Franco, Gregorio, Korasidis, Stylianos, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Statuti, Erica, Tartaglia, Dario, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Ubiali, Paolo, Coiro, Saverio, Mele, Simone, Corbellini, Carlo, Masciandaro, Antonio, Carannante, Filippo, Denaro, Vincenzo, Mazzotta, Erica, Zampogna, Biagio, Cinquepalmi, Matteo, Del Basso, Celeste, Guglielmo, Nicola, Meniconi, Roberto Luca, Sinibaldi, Giovanni, Agnes, Annamaria, Belia, Francesco, Bianchi, Valentina, Cozza, Valerio, Fico, Valeria, Fransvea, Pietro, La Greca, Antonio, Litta, Francesco, Pascale, Marco Maria, Silvia, Tedesco, Benevolo, Maria, Campo, Flaminia, Dona’, Maria Gabriella, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Petruzzi, Gerardo, Pichi, Barbara, Tuderti, Gabriele, Bellato, Vittoria, Grande, Michele, Petagna, Lorenzo, Sensi, Bruno, Bruzzaniti, Placido, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, D’ambrosio, Giancarlo, De Toma, Giorgio, Familiari, Pietro, Fonsi, Giovanni Battista, Pata, Francesco, Picchetto, Andrea, Salvati, Maurizio, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, Ibrahim, Mohsen, Menna, Cecilia, Rendina, Erino Angelo, Accarino, Giulio, Giancarlo, Accarino, Froiio, Caterina, Copelli, Chiara, Di Maio, Pasquale, Giudice, Marco, Altana, Cristian, Ciccarello, Sandro, Cossu, Maria Laura, Dessole, Francesco, Dettori, Salvatora, Madonia, Massimo, Petrillo, Marco, Piredda, Franco, Rizzo, Davide, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Marano, Luigi, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Roviello, Franco, Abrate, Alberto, Clarizia, Guglielmo, Franzini, Marco, Fratto, Antonio, Grechi, Alessandro, Scarnecchia, Elisa, Maiuri, Vincenzo, Dalprà, Francesca, Battistella, Enrico, Romano, Maurizio, Aizza, Giada, de Manzini, Nicolò, Drigo, Davide, Mastronardi, Manuela, Palmisano, Silvia, Bardelli, Laura, Borroni, Giacomo, Livraghi, Lorenzo, Palumbo, Mara, Zullo, Alessandra, Vignotto, Chiara, Caravati, Andrea, De Cristofaro, Carlotta, Giuliani, Tommaso, Guglielmi, Alfredo, Pedrazzani, Corrado, Butturini, Giovanni, Moretto, Gianluigi, Mastriale, Francesco, Olmi, Stefano, Kushikata, Tetsuya, Oyama, Tasuku, Kamiyama, Mizue, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Deguchi, Yoshihiko, Hoshino, Tatsuki, Inoue, Hiroyuki, Ito, Shingo, Takano, Emi, Yamamoto, Masae, Matsuki, Yuka, Matsumoto, Takashi, Sawada, Atsushi, Sato, Kozo, Makino, Jun, Mizota, Toshiyuki, Yonekura, Hiroshi, Ishikawa, Haruka, Kaiho, Yu, Ogawa, Munehiro, Endo, Shunji, Fujiwara, Yoshinori, Kubota, Hisako, Okada, Toshimasa, Hisamatsu, Yoji, Michiura, Taku, Satoshi, Okazaki, Fujita, Tomoyuki, Fukushima, Satsuki, Otsuka, Yuji, Sawada, Ikumi, Miyamoto, Morikazu, Isada, Tetsuro, Bani Amer, Qaed, Fujimoto, Yuki, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, Kuroda, Naoto, Okamura, Yukiyasu, Uesaka, Katshuhiko, Kuroda, Kento, Abe, Nobutsugu, Ando, Tadao, Hirano, Kouichi, Kobayashi, Yoichi, Motoyasu, Akira, Noguchi, Hikari, Tajima, Atsushi, Toyama, Satoshi, Uchida, Tokujiro, Furukawa, Yuri, Hasumi, Yoko, Iida, Katsuyuki, Ikeda, Tatsuhiko, Kuzuhara, Shigeki, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Kawai, Akira, Nakata, Yoshinori, Sawamura, Shigehito, Kobayashi, Takayuki, Alqudah, Majdi Ali, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Omari, Rand Y., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, Ayasra, Faris, Ghayada, Ibrahim, Hasanein, Khaled Moh’d Ahmed, Hassouneh, Anas, Hijazeen, Raid, Khasawneh, Barihan, Semrin, Qusai, Theab, Mohammad, Abazeed, Alaa, Alkurdieh, Moh’d Mujahed, Hammouri, Mohammad, Khader, Sereen, Abu Obead, Hamza, Abudari, Hadeel, Al-azzeh, Nimer, Al-Darabah, Ali, Al-Qannas, Mohammad, Ashour, Subhi, Chabaan, Reem, Fawzi, Ahmad, Haij, Manal, Hassouneh, Esraa, Ibrahim, Zainab, Mohamed, Ishak, Qandeel, Mahmoud, Qassem, Faisal, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, Abuleil, Amro, Abou Chaar, Mohamad K., Al-latayfeh, Motasem, Al-Shudifat, Abdel-Ellah, Shaikh Ahmad, Abd Almonem, Abu Abed, Laith, Allouzi, Mohammad, Almi’ani, Sari, Alsaiad, Abdulhakim, Daoud, Maher, Dawod, Omar, Fadli, Saba, Jimaale, Elmi Ahmed Mohamed, Qulaghassi, Zaki, Al-howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al-Dabaa, Tawfik, Al-Jarrah, Salsabeel, Alshannaq, Qutaiba, Alsulaiman, Rima, Audat, Ziad, Bdour, Saja, Khatatbeh, Ro’a, Marji, Fares, Abu Ismail, Dima.Y, Abu-Ismail, Luai, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Kulimbet, Mukhtar, Sakhov, Orazbek, Fakhradiyev, Ildar, Tanabayeva, Shynar, Zhussupov, Baurzhan, Amrayev, Sultan, Kukubassov, Yerlan, Parker, Robert, Mwaria, Claude, Kibunyi, Muthoni, Mailu, Claire, Osea, Lydia, Hirsi, Omar, Dashti, Mustafa, Aldalal, Shuaib, Alozairi, Ous, Al-Shaiji, Tariq, Alhunaidi, Omar, Aljewaied, Ali, Farag, Ahmed, Termos, Salah, Sivins, Armands, Apse, Ingus Arnolds, Kaminskis, Aleksejs, Pāvulāns, Jānis, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Tamoos, Khalil, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Al maadany, Faraj, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, Alansari, Arowa hassan abdulrahman, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Khel, Samer, Yousef, Rowaida, Abuhlaiga, Ma’aly, Abushahma, Ahmed omar, Aldelensi Alzubi, Alhosen Saleh M, Alnehum, Mohamed alnaser, Alzedam, Ahmad, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Kamoka, Elhusain, Salamah, Abdulrauf, Abdeewi, Saedah, Eshnaf, Mabroka, Yahmad, Mohammad, Aljuroushi, Omar, Attia, Hajer, Emran, Ayyah, Samer, Ashraf, Abdullah, Duha milad, Ben esmael, Esraa, Benmasoud, Fatma, Debri, Laila, Younis, Balkees, Elmabrouk, Amna, Hasan, Ameerah Mahdi Abraheem, Suliaman, Taha, Alawami, Mohammed, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Ellojli, Ibrahim, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, Alayan, Mohammed, Ben Hasan, Hayat, Shaban Ben Hasan, Najat, Shaban Ben Hasan, Rabab, Dambrauskas, Zilvinas, Dekeryte, Inga, Koženiauskaitė, Akvilė, Maleckas, Almantas, Venclauskas, Linas, Zilinskas, Justas, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Jurgaitis, Jonas, Mikutaitis, Vytenis, Samalavicius, Narimantas Evaldas, Slepavicius, Algirdas, Vasiliauskas, Bernardas, Dulskas, Audrius, Cekauskas, Albertas, Gulla, Aiste, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, Samison, Luc Hervé, Tsiambanizafy, Guillaume Odilon, Solo, Corinne Eulalie, Safiry Andofenohasina, Fanonjomahasoa, Sablon Herinirina, Angelin, Das, Andre, Osman, Mohd Firdauss, Soh, Jien Yen, Zakaria, Zaidi, Chan, Kheng Hooi, Johan, Syamim, Mah, Jin Jiun, Subramaniam, Sentilnathan, Ibrahim, Mohd Razali, Nazimi, Abd Jabar, Bal, Pavin, Fadzli, Ahmad nazran, Jamaris, Suniza, Lee, Yeong Sing, Lim, Jeffery Zk, Moh Pauzi, Siti Farhan, Nair, Ashvin Krishna, Ng, Doris Sin Wen, Ng We Yong, Yuki Julius, Roslani, April Camilla, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Munjih, Islah, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul 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Gabriela, Morales valencia, Eduardo, Santos, Blanca, Torres Cisneros, Juan Roberto, Bozada-Gutiérrez, Katya, Alvarez, Maria Regina, de la Rosa Abaroa, Marco Antonio, Hernandez, Roberto, Bernardo, Anaya, Ernesto, Arceo-Olaiz, Ricardo, Lopez Flores, Sonia, Esparza Arias, Nereida, Romero Bañuelos, Esmeralda, Salcedo-Hernández, Rosa, Buerba, Gabriela Alejandra, Chan, Carlos, Garay Lechuga, Daniel, Hinojosa, Carlos, Mercado, Miguel Ángel, Peña Gómez Portugal, Emmanuel, Posadas-Trujillo, Oscar Emmanuel, Hernandez Skewes, Karla Yareli, Licona-Meníndez, Roque Delfino, Romero Lechuga, Fernanda, Roque, Oscar, Núñez-González, Roberto Ángel, Alvarez Manilla Orendain, Alfonso, Garcia, Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate 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Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Lawal, Taiwo Akeem, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Ademuyiwa, Adesoji, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Seyi-Olajide, Justina, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Okunlola, Abiodun, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Adisa, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Wuraola, Funmilola, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Kache, Stephen, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Sale, Danjuma, Takai, Idris Usman, Aji, Sani Ali, Anyanwu, Lofty-John, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Okereke, Chukwuma, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, Oyelowo, Nasir, 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Pereira, André, Pereira-Neves, António, Pina-Vaz, Teresa, Pinheiro, Gabriela, Pinho, Sílvia, Ramos, Pedro, Ramos, Patricia, Vilares Morgado, Rodrigo, Canotilho, Rita, Correia, Ana Margarida, Ferreira Pinto, Ana Paula, Claro, Mariana, Costa Santos, Daniel, Boto, Carlos, Branquinho, Rita, Rodrigues, Sónia, Guidi, Gonçalo, Leal, Clara, Machado, Luís, Marques, Prescillia, Martins, Daniela, Morais, Mariana, Nunes, Sara, Sapage, Rita, Sousa, Rita, Sousa, Diogo, Vaz Pereira, Ricardo, Lima Oliveira, Susana, Abdalla, Samir, Aurif, Fahad, Muzaffar, Nasir, Ahmed, Khalid, Al Dosouky, Mohammed, Al-Tarakji, Mohannad, Almudares, Saif, Elaffandi, Ahmed, Muslim, Muhammad, Qabbani, Amjad, Shah, Amjad, Khan, Mohammad Burhan, Murad, Musab, Costache, Victor, Dumitrescu, Tudor Ștefan, Muntean, George-Ovidiu, Mironescu, Aurel, Bezede, Cosmin, Enciu, Octavian, Baraian, Sergiu Catalin, Niculae, Cristina, Filipescu, Daniela, Goicea, Raluca, Alexe, Vlad, Batog, Olivia, Iliescu, Madalina, Ionescu, Sebastian, 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Rayzah, Musaed, Abd ElGhany, Reda, Al Ameer, Ahmed, Bawa, Dauda, Elzain, Mohammed, Wakill, Fadi, Fahiem-ul-Hassan, Mir, Al Duhileb, Mohammed, Alazzeh, Ghaleb, Alghazal, Thabet, Alkhatib, Abdulrahman, Almatar, Bikheet, Alnaimi, Manal, Alsuwaimel, Munir, Balhareth, Ameera, Abutaleb, Malak, Ageeli, Mohammed, Alhazmi, Barrag, Alkhayrat, Saud, Miftah, Mohammed, Otayfah, Sameer, Sari, AbdulRahman, Alsadiq, Mohammed, Fouad, Mohammed, Iskander, Othman, Al Athath, Samer, Alharthi, Mohammed, Bayazid, Muhannad, Al-Radi, Osman, Altaf, Abdulmalik, Arab, Fatima, Bangash, Mohammed, Basendowah, Mohammed, Farsi, Deema, Farsi, Ali, Habeebullah, Alaa, Malibary, Ziad, Nassif, Mohammed, Nawawi, Anfal, Sabbagh, Abdulrahman J, Sait, Salma, Saleem, Abdulaziz, Trabulsi, Nora, Alghamdi, Abdulaziz, Altalhi, Bassam, Alzaidi, Turki M, Mughal, Samiullah, Samadony, Mustafa, Althobaiti, Awwadh, Hakami, Hadi, Al Jamahir, Mohammed, Al Wadei, Hajr, Al-Qannass, Ali, Al-Qurashi, Qusay, Albakry, Ibrahim, Alkarak, Samer, Alkhanbashi, Omar, Alqannas, Mashhour, Alsakkaf, Mazen, Alzamanan, Mohammed, Mahnashi, Taher, Mohammed, Rawabi, Taha, Youssef, AlAamer, Ohood, Alaglan, Abeer, Alriyees, Lolwah, Alromaihi, Meaad, Alsafi, Maryam, Alsahabi, Jawaher, Alselaim, Nahar, Bin Saad, Khalid, Binjaloud, Ahmed, Dagestani, Hattan, Abaalkhail, Muath, Abukhater, Muhammad, Al Saied, Ghiath, Albarrak, Majed, Alghamdi, Ahmad, Alhogbani, Mofarej, Ali, Aisha Mansoor, Almushawah, Fatema, Alqahtani, Loai, Alqasem, Saad, AlRayih, Mohammed, Alsaleh, Khaled, Alsamari, Alanoud, Alshammari, Abdulaziz, AlSolami, Zeyad, AlSubaie, Fahd, Alsuliman, Yazeed, Alsuwaydani, Saleh, Alzahrani, Saud, Alanoud, Abu-Zaid, Ahmed, Aburahmah, Mohammad, Al Humaid, Lama, Al-Qattan, Mohammad, Alabbasi, Amira, Alahmari, Ahmed, Alaqel, Sara, Alassiri, Ali, Aldaghiri, Khalid, Alhaidari, Ammar, Alhazmi, Alaa, Alhazzaa, Norah, Alhefdhi, Amal, Alhelal, Boshra, Alhuthayl, Meshari, Alkassim, Abdullah, Alkhayal, Wafa, Almalaq, Ali, Almalik, Osama, AlMarshad, 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Alobaysi, Saad, Modahi, Nawaf, AI Nwijy, Khaled, AI Zahrani, Turki, Alahmad, Feras, Alalawi, Dr Yousef, Awaji, Ahmed, Emara, Sherif, Musawa, Nizar, Zakaria, Mahmoud, Althobaiti, Waleed, Paunovic, Ivan, Alajaji, Nouf, Ivanović, Nenad, Kmezić, Stefan, Knezevic, Djordje, Krivokapic, Zoran, Latinčić, Stojan, Markovic, Velimir, Miladinov, Marko, Ninic, Aleksandar, Gregoric, Pavle, Loncar, Zlatibor, Bogdanovic, Ivan, Milisavljević, Filip, Paunovic, Aleksandra, Trivic, Aleksandar, Bumbasirevic, Uros, Lazic, Aleksandar, Djurisic, Igor, Jevric, Marko, Kocic, Milan, Kozomara, Zoran, Markovic, Ivan, Dejanovic, Tatjana, Marinković, Srdjan, Milanovic, Miljan, Lazovic, Mikan, Cuk, Vladica, Milutinović, Vladan, Djan, Vladimir, Trajkovic, Velicko, Lukic, Dejan, Radovanovic, Zoran, Zahorjanski, Sanja, Hing, Jun Xian, Teo, Nan Zun, Arbab, Hana, Dimatatac, Doris Mae, Chew, Min Hoe, Tan, Kiat Tee Benita, Ang, Wei-Wen, Chong, Yew-Lam, Tan, Ming Ngan Aloysius, Wong, Kar Yong, Gális, Branislav, Avsenak, 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Debo-Aina, Adeoye Oluwakanyinsola, Saha, Sunita, Campbell, William, Small, Sarah, Carlos, William, Chandla, Danny, Davis, Timothy, Dickson, Kathryn, Goodwin, Peter, Henning, Sarah, Kolokotroni, Maria, Mackay, Nicola, Stephens, Alastair, Surendran, Arthika, Ward, Thomas, Mena, Jimmy, Paul, Emila, Joshi, Anuja, McKay, Joanne, Weenink, Lotte, Cribb, Mark, Amin, Vishal, Dawson, Jonathon, Jangan, Akash, Mughal, Aamer, Olive, Rachel, Wall, Michael, Weedon, Stephanie, Kerr, Megan, Davison, Stephen, Doherty, Laura, Donoghue, Christopher, Faulkner, Alastair, MacInnes, Alasdair, McNicol, Rebecca, Rahman, Mohammad, Tiang, Kimberly, Foreman, Jennifer, McAllister, Ian, Collicott, Tom, Cullis, Paul, Holt, Phillip, Drake, Thomas, Durden, Andrew, Linder, Gustav, McGregor, Richard, Molyneux, Samuel, Norton, Joel, Robb, Lydia, Skipworth, Richard JE, Tambyraja, Andrew, Boyle, Connor, Hodge, Katherine, Paterson, Hugh, Smith, Scott, Vaughan-Shaw, Peter G, Benjamin, Miles, Rahimzadeh, Mana, Burden, Eleanor, 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- Abstract
Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
- Published
- 2024
- Full Text
- View/download PDF
7. ASO Visual Abstract: A Sonic Hedgehog Pathway Score to Predict the Outcome of Resected Non-small Cell Lung Cancer Patients
- Author
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Alejandro, Herreros-Pomares, Paula, Doria, Sandra, Gallach, Marina, Meri-Abad, Ricardo, Guijarro, Silvia, Calabuig-Fariñas, Carlos, Camps, and Eloísa, Jantus-Lewintre
- Subjects
Lung Neoplasms ,Oncology ,Carcinoma, Non-Small-Cell Lung ,Biomarkers, Tumor ,Humans ,Hedgehog Proteins ,Surgery ,Signal Transduction - Published
- 2022
- Full Text
- View/download PDF
8. Dabigatran, Rivaroxaban and Apixaban versus Enoxaparin for thomboprophylaxis after total knee or hip arthroplasty: Pool-analysis of phase III randomized clinical trials
- Author
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Nieto, José A., Espada, Noelia Garrido, Merino, Ricardo Guijarro, and González, Timoteo Cámara
- Published
- 2012
- Full Text
- View/download PDF
9. A Sonic Hedgehog Pathway Score to Predict the Outcome of Resected Non-Small Cell Lung Cancer Patients
- Author
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Alejandro Herreros-Pomares, Paula Doria, Sandra Gallach, Marina Meri-Abad, Ricardo Guijarro, Silvia Calabuig-Fariñas, Carlos Camps, and Eloísa Jantus-Lewintre
- Subjects
Oncology ,Surgery - Abstract
Background Mutations and deregulations in components of the Hedgehog (Hh) pathway have been associated with cancer onset and tumor growth in different malignancies, but their role in non-small cell lung cancer (NSCLC) remains unclear. This study aims to investigate the expression pattern of the main components of the Hh pathway in tumor and adjacent normal tissue biopsies of resected NSCLC patients. Methods The relative expression of GLI1, PTCH1, SHH, and SMO was analyzed by quantitative polymerase chain reaction (PCR) in a cohort of 245 NSCLC patients. Results were validated in an independent cohort of NSCLC patients from The Cancer Genome Atlas (TCGA). Results We found that SMO and GLI1 were overexpressed in the tumor compared with normal-paired tissue, whereas PTCH1 and SHH were underexpressed. In addition, patients with higher expression levels of PTCH1 presented better outcomes. A gene expression score, called the Hedgehog Score, was calculated using a multivariable model including analyzed components of the Hh signaling pathway. NSCLC patients with a high Hedgehog Score had significantly shorter relapse-free survival (RFS) and overall survival (OS) than patients with a low score, especially at stage I of the disease. Similarly, patients in the adenocarcinoma (ADC) subcohort had shorter RFS and OS. Multivariate Cox analysis exhibited that the Hedgehog Score is an independent prognostic biomarker for OS in both the entire training cohort and the ADC subcohort. The Hedgehog Score was validated in an independent cohort of NSCLC patients from TCGA, which confirmed its prognostic value. Conclusions Our results provide relevant prognostic data for NSCLC patients and support further studies on the Hh pathway.
- Published
- 2022
10. Selective T3–T4 sympathicotomy versus gray ramicotomy on outcome and quality of life in hyperhidrosis patients: a randomized clinical trial
- Author
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Juan Manuel Mascarós, Ricardo Guijarro-Jorge, Leyre Vanaclocha, José María Ortiz-Criado, Manuel Granell-Gil, Nieves Saiz-Sapena, and Vicente Vanaclocha
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Adult ,Male ,medicine.medical_specialty ,Science ,Diseases ,Sweating ,Article ,law.invention ,Young Adult ,Medical research ,Randomized controlled trial ,Quality of life ,law ,medicine ,Humans ,Hyperhidrosis ,Prospective randomized study ,Prospective Studies ,Sympathectomy ,Multidisciplinary ,business.industry ,Palmar hyperhidrosis ,Compensatory hyperhidrosis ,Health care ,Dermatologia ,Surgery ,Treatment Outcome ,Patient Satisfaction ,Quality of Life ,Medicine ,Sistema nerviós Malalties ,Female ,medicine.symptom ,business ,Neuroscience - Abstract
Background: compensatory hyperhidrosis is the leading cause of patients' dissatisfaction after thoracic sympathicotomy.Objective: to reduce compensatory hyperhidrosis to increase patients' satisfaction. Patients and methods: a prospective randomized study on palmar hyperhidrosis, May 2016-September, 2019. Twenty-one patients T3-T4 sympathicotomy and 21 T3-T4 gray ramicotomy. Data prospectively collected. Analysis at study's end. Focus on the sweating, temperature, quality of life baseline and postoperatively, compensatory hyperhidrosis, hand dryness, patients' satisfaction, and if they would undergo the procedure again and would recommend it.Results: No baseline differences between groups. Hyperhidrosis was controlled postoperatively in all patients. No mortality, serious complications, or recurrences. Sympathicotomy worse postoperative quality of life (49.05 (SD: 15.66, IR: 35.50-63.00) versus ramicotomy 24.30 (SD: 6.02, IR: 19.75-27.25). After ramicotomy, some residual sweating on the face, hands, and axillae. Compensatory sweating worse with sympathicotomy. Satisfaction higher with ramicotomy. Better results with ramicotomy than sympathicotomy regarding hand dryness, how many times a day the patients had to shower or change clothes, intention to undergo the procedure again or recommend it to somebody else, and how bothersome compensatory hyperhidrosis was.Conclusions: T3-T4 gray ramicotomy had better results than T3-T4 sympathicotomy, with less compensatory sweating and higher patients' satisfaction.
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- 2021
11. Selective block of grey communicantes in upper thoracic sympathectomy. A feasibility study on human cadaveric specimens
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José María Ortiz-Criado, Marlon Rivera, Ana Monzó-Blasco, Nieves Saiz Sapena, Vicente Vanaclocha, Leyre Vanaclocha, Juan Manuel Herrera, and Ricardo Guijarro-Jorge
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Intercostal veins ,medicine.medical_treatment ,Intercostal nerves ,03 medical and health sciences ,0302 clinical medicine ,Cadaver ,medicine ,Humans ,Hyperhidrosis ,Sympathectomy ,Ganglia, Sympathetic ,business.industry ,Compensatory hyperhidrosis ,General Medicine ,Anatomy ,Sympathetic ganglion ,Ramus communicans ,Treatment Outcome ,medicine.anatomical_structure ,Sympathetic Block ,030220 oncology & carcinogenesis ,Feasibility Studies ,Surgery ,Neurology (clinical) ,medicine.symptom ,business ,030217 neurology & neurosurgery - Abstract
Background: Sympathetic chain interruption is the gold standard treatment for essential hyperhidrosis. Postoperative compensatory hyperhidrosis, the main reason for patients' dissatisfaction, is reduced by selectively lesioning white and grey rami communicantes (ramicotomy).Objective: To develop an endoscopic surgical technique that interrupts only T3 and T4 grey rami communicantes to minimize compensatory hyperhidrosis.Material and Methods: T3 and T4 grey rami communicantes ramicotomy in fifteen cold-preserved cadavers through a uniportal axillary endoscopic approach. The sympathetic chain, its ganglia, and white rami communicantes were left intact. On opening the chest, the sympathetic chain, rami communicantes and ganglia were dissected, photographed, measured and excised for histological examination.Results: Dissecting the grey rami communicantes is feasible as they consistently lie between the intercostal nerve and the homonymous sympathetic ganglion. At some levels, Kuntz nerves, as well as more than one grey ramus communicans, can be found. White rami communicantes are more medial, therefore damaging them can be avoided. Intercostal veins can be obstructive, but these can be controlled via coagulation or clipping if necessary.Conclusion: Uniportal endoscopic selective excision of the T3 and T4 grey rami communicantes is feasible without damaging the white rami communicantes, the sympathetic chain or its ganglia. Clipping the grey rami communicantes is technically possible but not reliable due to their thin diameter. This study confirms that T3 and T4 grey rami sympathetic block is technically feasible. Its application might reduce compensatory hyperhidrosis, but clinical studies are needed.
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- 2019
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12. Characterization of Circulating T Cell Receptor Repertoire Provides Information about Clinical Outcome after PD-1 Blockade in Advanced Non-Small Cell Lung Cancer Patients
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F. Zhang, Ana Blasco, Andrea Moreno-Manuel, Ning Dong, Eloisa Jantus-Lewintre, Silvia Calabuig-Fariñas, Sandra Gallach, Carlos Camps, Ricardo Guijarro, Francisco Aparisi, Marina Meri-Abad, and Rafael Sirera
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0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,medicine.medical_treatment ,Pembrolizumab ,Article ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,Internal medicine ,medicine ,T-Cell Receptor Beta Chain ,Liquid biopsy ,Lung cancer ,RC254-282 ,non-small cell lung cancer ,liquid biopsy ,business.industry ,T-cell receptor ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,high-throughput sequencing ,Immunotherapy ,immune checkpoint blockade ,medicine.disease ,030104 developmental biology ,T cell receptor beta chain repertoire ,030220 oncology & carcinogenesis ,Biomarker (medicine) ,biomarker ,next-generation sequencing ,immunotherapy ,CDR3 ,business ,TCR - Abstract
Despite the success of immunotherapies in lung cancer, development of new biomarkers for patient selection is urgently needed. This study aims to explore minimally invasive approaches to characterize circulating T cell receptor beta chain (TCR-β) repertoire in a cohort of advanced non-small cell lung cancer (NSCLC) patients treated with first-line pembrolizumab. Peripheral blood samples were obtained at two time points: i) pretreatment (PRE) and ii) first response assessment (FR). Next-generation sequencing (NGS) was used to analyze the hypervariable complementary determining region 3 (CDR3) of TCR-β chain. Richness, evenness, convergence, and Jaccard similarity indexes plus variable (V) and joining (J)-gene usage were studied. Our results revealed that increased richness during treatment was associated with durable clinical benefit (DCB, p = 0.046), longer progression-free survival (PFS, p = 0.007) and overall survival (OS, p = 0.05). Patients with Jaccard similarity index ≥0.0605 between PRE and FR samples showed improved PFS (p = 0.021). Higher TRBV20-1 PRE usage was associated with DCB (p = 0.027). TRBV20-1 levels ≥9.14% in PRE and ≥9.02% in FR significantly increased PFS (p = 0.025 and p = 0.016) and OS (p = 0.035 and p = 0.018). Overall, analysis of circulating TCR-β repertoire may provide information about the immune response in anti-PD-1 treated NSCLC patients, in this scenario, it can also offer important information about the clinical outcome.
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- 2021
13. Sternal resection and reconstruction after malignant tumours
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Galbis Caravajal, José M., Sánchez, Luis Yeste, Fuster Diana, Carlos A., Jorge, Ricardo Guijarro, Ortiz, Paula Fernández, and Deaville, Pam J.
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- 2009
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14. Pulmonary Resection: From Classical Approaches to Robotic Surgery
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Alper Toker and Ricardo Guijarro Jorge
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medicine.medical_specialty ,business.industry ,Cardiothoracic surgery ,Invasive surgery ,Medicine ,Robotic surgery ,Pulmonary resection ,business ,Surgery - Abstract
Thoracic surgery has evolved widely, from classical open thoracotomies to video-assisted thoracic surgery (VATS) and to robot assisted thoracoscopic surgery (RATS). Minimally invasive surgery in all surgical fields is gradually gaining ground against conventional thoracotomies and some standard procedures that were done by surgery with large incisions today are performed through small wounds called ports.
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- 2020
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15. A new strategy in lung/lobe isolation in patients with a lung abscess or a previous lung resection using double lumen tubes combined with bronchial blockers
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ManuelGranell Gil, Ruben Rubio-Haro, Javier Morales-Sarabia, ElenaBiosca Perez, Giulia Petrini, Ricardo Guijarro, and Jose De Andrés
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Anesthesiology and Pain Medicine ,General Medicine ,Cardiology and Cardiovascular Medicine - Published
- 2022
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16. Intubación en dos pacientes con vía aérea difícil y estenosis traqueal tras traqueostomía en cirugía torácica
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P. Solís Albamonte, M. Granell Gil, C. Córdova Hernández, Ricardo Guijarro, I. Cobo, and J. De Andrés Ibáñez
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03 medical and health sciences ,0302 clinical medicine ,Anesthesiology and Pain Medicine ,030202 anesthesiology ,business.industry ,Medicine ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,business ,Humanities - Abstract
Resumen El aislamiento pulmonar en cirugia toracica es un reto para el anestesiologo, pero la presencia de estenosis traqueal no conocida complica mas esta situacion. Describimos dos casos de estenosis traqueal desconocida y el manejo de la via aerea. La estenosis traqueal aparece frecuentemente tras intubacion de larga duracion en la zona del neumotaponamiento o en el estoma de la traqueotomia como consecuencia del tejido de granulacion que aparece tras la apertura quirurgica de la traquea. Son cruciales la historia clinica, la exploracion fisica, los predictores de via aerea dificil y las imagenes diagnosticas (TAC). Sin embargo, muchas estenosis traqueales pasan desapercibidas y la aparicion de sintomas depende del grado de obstruccion. En estos casos, los pacientes presentaron cambios anatomicos debido a la cirugia y traqueotomia previa que ocasionaban estenosis traqueal sin sintomas. Existe escasa literatura sobre intubacion en pacientes con traqueotomia previa en cirugia toracica. En el primer caso se utilizo un tubo Univent® utilizando un fibrobroncoscopio pero se produjo una hemorragia traqueal aguda. En el segundo caso, tras la intubacion con VivaSight SL® en paciente despierto, se realizo la insercion de un bloqueador bronquial a traves de un tubo endotraqueal guiado por la camara integrada sin necesidad de control con fibrobroncoscopio.
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- 2018
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17. Intubation in two patients with difficult airway management and tracheal stenosis after tracheostomy in thoracic surgery
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C. Córdova Hernández, P. Solís Albamonte, J. De Andrés Ibáñez, Ricardo Guijarro, M. Granell Gil, and I. Cobo
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medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,medicine.medical_treatment ,Physical examination ,General Medicine ,respiratory system ,030204 cardiovascular system & hematology ,Bronchial blocker ,Tracheal Stenosis ,law.invention ,Surgery ,Stoma ,03 medical and health sciences ,0302 clinical medicine ,030202 anesthesiology ,Cardiothoracic surgery ,law ,medicine ,Fiberscope ,Intubation ,Airway management ,business - Abstract
Lung isolation in thoracic surgery is a challenge, this is even more complex in the presence of unknown tracheal stenosis (TS). We report two cases of unknown TS and its airway management. TS appears most frequently after long term intubation close to the endotracheal tube cuff or in the stoma of tracheostomy that appears as a consequence of the granulation tissue after the surgical opening of the trachea. Clinical history, physical examination, difficult intubating predictors and imaging tests (CT scans) are crucial, however most of tracheal stenosis may be unnoticed and symptoms depend on the degree of obstruction. In our cases, the patients presented anatomical changes due to surgery and previous tracheostomy that led to a TS without symptoms. There is scarce literature about the intubation in patients with previous tracheostomy in thoracic surgery. In the first case, a Univent® tube was used using a flexible fiberscope but an acute tracheal hemorrhage occurred. In the second case, after intubation with VivaSight SL® in an awake patient, the insertion of a bronchial blocker was performed through an endotracheal tube guided by its integrated camera without using flexible fiberscopy.
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- 2018
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18. Tratamiento quirúrgico de la recidiva supraclavicular y a nivel de la mamaria interna por un carcinoma de mama
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Alejandra de Andrés Gómez, Ricardo Guijarro Jorge, Carlos Fuster Diana, Carla Navarro Moratalla, and Francisco Villalba Ferrer
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Gynecology ,03 medical and health sciences ,medicine.medical_specialty ,0302 clinical medicine ,business.industry ,030220 oncology & carcinogenesis ,Medicine ,Surgery ,030212 general & internal medicine ,business - Published
- 2018
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19. Remote Ischemic Preconditioning Decreases Oxidative Lung Damage After Pulmonary Lobectomy
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Laura Bruno, Francisco Martí, Marina Soro, José García-de-la-Asunción, Francisco Javier Belda, Jaume Perez-Griera, Genaro Galan, Benjamín Sarriá, Ricardo Guijarro, Alfonso Morcillo, Eva García-del-Olmo, and Richard Wins
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Lung ,business.industry ,Ischemia ,Hemodynamics ,respiratory system ,030204 cardiovascular system & hematology ,Lung injury ,medicine.disease ,medicine.disease_cause ,respiratory tract diseases ,03 medical and health sciences ,0302 clinical medicine ,Anesthesiology and Pain Medicine ,medicine.anatomical_structure ,030228 respiratory system ,Anesthesia ,medicine ,Ischemic preconditioning ,business ,Lung cancer ,Reperfusion injury ,Oxidative stress - Abstract
BACKGROUND:During lobectomy in patients with lung cancer, the operated lung is often collapsed and hypoperfused. Ischemia/reperfusion injury may then occur when the lung is re-expanded. We hypothesized that remote ischemic preconditioning (RIPC) would decrease oxidative lung damage and improve gas e
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- 2017
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20. Trends in Diabetes-Related Potentially Preventable Hospitalizations in Adult Population in Spain, 1997⁻2015: A Nation-Wide Population-Based Study
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Raquel Barba, Sergio Jansen-Chaparro, Francisco J. Tinahones, Ricardo Guijarro-Merino, M. Rosa Bernal-Lopez, Ricardo Gómez-Huelgas, Carmen M. Lara-Rojas, Luis M. Pérez-Belmonte, María D. López-Carmona, and Antonio Zapatero
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potentially preventable hospitalizations ,Pediatrics ,medicine.medical_specialty ,Population ,Adult population ,lcsh:Medicine ,030209 endocrinology & metabolism ,Age and sex ,Article ,03 medical and health sciences ,0302 clinical medicine ,Diabetes mellitus ,medicine ,030212 general & internal medicine ,National trends ,education ,education.field_of_study ,Adult patients ,business.industry ,lcsh:R ,Significant difference ,diabetes complications ,General Medicine ,medicine.disease ,Population based study ,diabetes mellitus ,business ,diabetes care - Abstract
We aimed to assess national trends in the rates of diabetes-related potentially preventable hospitalizations (overall and by preventable condition) in the total adult population of Spain. We performed a population-based study of all adult patients with diabetes who were hospitalized from 1997 to 2015. Overall potentially preventable hospitalizations and hospitalizations by diabetes-related preventable conditions (short-term complications, long-term complications, uncontrolled diabetes, and lower-extremity amputations) were examined. Annual rates adjusted for age and sex were analyzed and trends were calculated. Over 19-years-period, 424,874 diabetes-related potentially preventable hospitalizations were recorded. Overall diabetes-related potentially preventable hospitalizations decreased significantly, with an average annual percentage change of 5.1 (95%CI: &minus, 5.6&mdash, (&minus, 4.7%), ptrend <, 0.001). Among preventable conditions, the greatest decrease was observed in uncontrolled diabetes (&minus, 5.6%, 95%CI: &minus, 6.7&mdash, 0.001), followed by short-term complications (&minus, 5.4%, 6.1&mdash, 4.9%), 0.001), long-term complications (&minus, 4.6%, 5.1&mdash, 3.9%), 0.001), and lower-extremity amputations (&minus, 1.9%, 3.0&mdash, 1.3%), 0.001). These reductions were observed in all age strata for overall DM-related PPH and by preventable condition but lower-extremity amputations for those <, 65 years old. There was a greater reduction in overall DM-related PPH, uncontrolled DM, long-term-complications, and lower extremity amputations in females than in males (all p <, 0.01). No significant difference was shown for short-term complications (p = 0.101). Our study shows a significant reduction in national trends for diabetes-related potentially preventable hospitalizations in Spain. These findings could suggest a sustained improvement in diabetes care in Spain, despite the burden of these diabetes-related complications and the increase in the diabetes mellitus prevalence.
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- 2019
21. Lung tumorspheres reveal cancer stem cell-like properties and a score with prognostic impact in resected non-small-cell lung cancer
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Jerónimo Forteza, Alejandro Herreros-Pomares, Alicia Martínez, María-Dolores Chiara, Eloisa Jantus-Lewintre, Juan Diego de-Maya-Girones, Ana Blasco, Rafael Sirera, Silvia Calabuig-Fariñas, E. Escorihuela, Carlos Camps, Sergio Alonso, Miguel Martorell, Elena Duréndez, Carolina Gandía, José Miguel Pardo-Sánchez, Rut Lucas, Ricardo Guijarro, and Rosa Farràs
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0301 basic medicine ,Oncology ,Male ,Cancer Research ,Cellular pathology ,Lung Neoplasms ,Tumour biomarkers ,Mice ,0302 clinical medicine ,Mice, Inbred NOD ,Carcinoma, Non-Small-Cell Lung ,Aged, 80 and over ,education.field_of_study ,biology ,lcsh:Cytology ,Cancer stem cells ,Middle Aged ,Stem-cell research ,Neoplasm Proteins ,Gene Expression Regulation, Neoplastic ,030220 oncology & carcinogenesis ,Carcinoma, Squamous Cell ,Neoplastic Stem Cells ,Adenocarcinoma ,Female ,Adult ,medicine.medical_specialty ,Immunology ,Population ,Adenocarcinoma of Lung ,Article ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Cancer stem cell ,Internal medicine ,Spheroids, Cellular ,medicine ,Carcinoma ,Animals ,Humans ,lcsh:QH573-671 ,education ,Lung cancer ,Survival analysis ,Aged ,business.industry ,CD44 ,Cell Biology ,medicine.disease ,030104 developmental biology ,A549 Cells ,biology.protein ,business ,Non-small-cell lung cancer - Abstract
The high resistance against current therapies found in non-small-cell lung cancer (NSCLC) has been associated to cancer stem-like cells (CSCs), a population for which the identification of targets and biomarkers is still under development. In this study, primary cultures from early-stage NSCLC patients were established, using sphere-forming assays for CSC enrichment and adherent conditions for the control counterparts. Patient-derived tumorspheres showed self-renewal and unlimited exponential growth potentials, resistance against chemotherapeutic agents, invasion and differentiation capacities in vitro, and superior tumorigenic potential in vivo. Using quantitative PCR, gene expression profiles were analyzed and NANOG, NOTCH3, CD44, CDKN1A, SNAI1, and ITGA6 were selected to distinguish tumorspheres from adherent cells. Immunoblot and immunofluorescence analyses confirmed that proteins encoded by these genes were consistently increased in tumorspheres from adenocarcinoma patients and showed differential localization and expression patterns. The prognostic role of genes significantly overexpressed in tumorspheres was evaluated in a NSCLC cohort (N = 661) from The Cancer Genome Atlas. Based on a Cox regression analysis, CDKN1A, SNAI1, and ITGA6 were found to be associated with prognosis and used to calculate a gene expression score, named CSC score. Kaplan–Meier survival analysis showed that patients with high CSC score have shorter overall survival (OS) in the entire cohort [37.7 vs. 60.4 months (mo), p = 0.001] and the adenocarcinoma subcohort [36.6 vs. 53.5 mo, p = 0.003], but not in the squamous cell carcinoma one. Multivariate analysis indicated that this gene expression score is an independent biomarker of prognosis for OS in both the entire cohort [hazard ratio (HR): 1.498; 95% confidence interval (CI), 1.167–1.922; p = 0.001] and the adenocarcinoma subcohort [HR: 1.869; 95% CI, 1.275–2.738; p = 0.001]. This score was also analyzed in an independent cohort of 114 adenocarcinoma patients, confirming its prognostic value [42.90 vs. not reached (NR) mo, p = 0.020]. In conclusion, our findings provide relevant prognostic information for lung adenocarcinoma patients and the basis for developing novel therapies. Further studies are required to identify suitable markers and targets for lung squamous cell carcinoma patients.
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- 2019
22. Clinicopathological significance of the expression of PD-L1 in non-small cell lung cancer
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Junya Fukuoka, Kati Lindström, Felix Alarcón, Ozan Aricak, Ricardo Guijarro, Cristian Ortiz-Villalón, Hoa H.N. Pham, Oscar Grundberg, Akira Yoshikawa, Luigi De Petris, Anja C. Roden, M. Angeles Montero, Loránd L. Kis, and Richard Attanoos
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Adult ,Male ,0301 basic medicine ,Oncology ,medicine.medical_specialty ,Pathology ,Lung Neoplasms ,Adenocarcinoma ,B7-H1 Antigen ,Pathology and Forensic Medicine ,03 medical and health sciences ,0302 clinical medicine ,Carcinoma, Non-Small-Cell Lung ,PD-L1 ,Internal medicine ,Biomarkers, Tumor ,medicine ,Carcinoma ,Humans ,Lung cancer ,Aged ,Neoplasm Staging ,Retrospective Studies ,Aged, 80 and over ,Tissue microarray ,biology ,business.industry ,Large cell ,Histology ,General Medicine ,Middle Aged ,Prognosis ,medicine.disease ,Immunohistochemistry ,Survival Analysis ,Clone Cells ,030104 developmental biology ,030220 oncology & carcinogenesis ,Carcinoma, Squamous Cell ,biology.protein ,Carcinoma, Large Cell ,Female ,Immunotherapy ,business - Abstract
PD1/PD-L1 pathway targeting therapies are nowadays an established treatment option for patients with NSCLC. We assessed whether PD-L1 expression in NSCLC tumor cells was associated with specific clinical features or overall survival using four different clones.A retrospective study included formalin-fixed paraffin embedded (FFPE) surgical tumors from 482 patients. PD-L1 status was assessed with immunohistochemistry in tumor cells on tissue microarrays using clones 28-8, 22C3, SP263 and SP142. Associations with OS were assessed by Kaplan-Meier and multivariate Cox's regression analysis. Patients' median age: 68 years (39-86); histology: adenocarcinoma (AdCa) 61%, squamous-cell carcinoma (SqCC) 33%, and large cell carcinoma (LCC) 6%; p-stage: IA (46%), IB (30%), IIA (10%), IIB (11,4%), IIIA (1,2%), IIIB - IV (0,4%). PD-L1 positivity (≥1%) in NSCLC for clones 28-8, 22C3, SP263, SP142 was 41.5%, 34.2%, 42.7%, 10.4%, respectively (Pearson Chi-square p 0.0001). PD-L1 expression was correlated with histology, tumor size and grading. Statistically significant association between PD-L1 expression and OS in NSCLC and Non-AdCa was observed with clone SP142 (log-rank p = 0.045 and p = 0.05, respectively). Statistically significant association between PD-L1 expression and OS in LCC was observed with clones 22C3 (log-rank p = 0.009) and SP263 (log-rank p = 0.050).Overexpression of the PD-L1 clone SP142 was associated with poor overall survival in NSCLC and Non-AdCa. Clones 22C3 and SP263 were associated with poor prognosis in LCC. PD-L1 status might serve as a prognostic marker in NSCLC.
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- 2021
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23. Glutathione oxidation correlates with one-lung ventilation time and PO2/FiO2ratio during pulmonary lobectomy
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Rafael Badenes, Jaume Perez-Griera, Alejandro Duca, Carlos Delgado, Eva García-del-Olmo, Francisco Martí, Ricardo Guijarro, Javier Belda, Genaro Galan, José A. Carbonell, and José García-de-la-Asunción
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Male ,0301 basic medicine ,Physiology ,Clinical Biochemistry ,030204 cardiovascular system & hematology ,medicine.disease_cause ,Biochemistry ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Malondialdehyde ,Hypoxic pulmonary vasoconstriction ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Lung ,Aged ,Glutathione Disulfide ,Biochemistry (medical) ,Cell Biology ,Glutathione ,Middle Aged ,One-Lung Ventilation ,Oxidative Stress ,030104 developmental biology ,medicine.anatomical_structure ,chemistry ,Anesthesia ,Breathing ,Glutathione disulfide ,Female ,Erratum ,Oxidative stress - Abstract
During lung lobectomy, the operated lung completely collapses with simultaneous hypoxic pulmonary vasoconstriction, followed by expansion and reperfusion. Here, we investigated glutathione oxidation and lipoperoxidation in patients undergoing lung lobectomy, during one-lung ventilation (OLV) and after resuming two-lung ventilation (TLV), and examined the relationship with OLV duration.We performed a single-centre, observational, prospective study in 32 patients undergoing lung lobectomy. Blood samples were collected at five time-points: T0, pre-operatively; T1, during OLV, 5 minutes before resuming TLV; and T2, T3, and T4, respectively, 5, 60, and 180 minutes after resuming TLV. Samples were tested for reduced glutathione (GSH), oxidized glutathione (GSSG), glutathione redox potential, and malondialdehyde (MDA).GSSG and MDA blood levels increased at T1, and increased further at T2. OLV duration directly correlated with marker levels at T1 and T2. Blood levels of GSH and glutathione redox potential decreased at T1-T3. GSSG, oxidized glutathione/total glutathione ratio, and MDA levels were inversely correlated with arterial blood PO2/FiO2 at T1 and T2.During lung lobectomy and OLV, glutathione oxidation, and lipoperoxidation marker blood levels increase, with further increases after resuming TLV. Oxidative stress degree was directly correlated with OLV duration, and inversely correlated with arterial blood PO2/FiO2.
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- 2016
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24. Trends in the Management and Outcomes of Acute Pulmonary Embolism
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Javier Trujillo-Santos, David Jiménez, Remedios Otero, Guy Meyer, Raquel Barba, Roger D. Yusen, Ricardo Guijarro, Alfonso Muriel, Manuel Monreal, Javier de Miguel-Díez, and Riete Investigators
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medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Thrombolysis ,Heparin ,030204 cardiovascular system & hematology ,medicine.disease ,Pulmonary embolism ,03 medical and health sciences ,0302 clinical medicine ,Emergency medicine ,medicine ,Initial treatment ,030212 general & internal medicine ,Cardiology and Cardiovascular Medicine ,Intensive care medicine ,business ,Hospital stay ,medicine.drug - Abstract
Background Despite advances in hospital management in recent years, it is not clear whether mortality after acute pulmonary embolism (PE) has decreased over time. Objectives This study describes the trends in the management and outcomes of acute symptomatic PE. Methods We identified adults with acute PE enrolled in the registry between 2001 and 2013. We assessed temporal trends in length of hospital stay and use of pharmacological and interventional therapies. Using multivariable regression, we examined temporal trends in risk-adjusted rates of all-cause and PE-related death to 30 days after diagnosis. Results Among 23,858 patients with PE, mean length of stay decreased from 13.6 to 9.3 days over time (32% relative reduction, p Conclusions In a large international registry of patients with PE, improvements in length of stay and changes in the initial treatment were accompanied by a reduction in short-term all-cause and PE-specific mortality.
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- 2016
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25. Use of Linagliptin for the Management of Medicine Department Inpatients with Type 2 Diabetes in Real-World Clinical Practice (Lina-Real-World Study)
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Juan José Gómez-Doblas, Eduardo de Teresa-Galván, Fernando Carrasco-Chinchilla, María D. López-Carmona, Manuel F. Jiménez-Navarro, Luis M. Pérez-Belmonte, M. Rosa Bernal-Lopez, Mercedes Millán-Gómez, Ricardo Guijarro-Merino, and Ricardo Gómez-Huelgas
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linagliptin ,medicine.medical_specialty ,medicine.medical_treatment ,lcsh:Medicine ,030209 endocrinology & metabolism ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Linagliptin ,Article ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Diabetes mellitus ,medicine ,business.industry ,Insulin ,lcsh:R ,General Medicine ,medicine.disease ,Regimen ,Basal (medicine) ,Propensity score matching ,diabetes mellitus ,Observational study ,inpatient hyperglycaemia ,business ,hospital care ,medicine.drug - Abstract
The use of noninsulin antihyperglycaemic drugs in the hospital setting has not yet been fully described. This observational study compared the efficacy and safety of the standard basal-bolus insulin regimen versus a dipeptidyl peptidase-4 inhibitor (linagliptin) plus basal insulin in medicine department inpatients in real-world clinical practice. We retrospectively enrolled non-critically ill patients with type 2 diabetes with mild to moderate hyperglycaemia and no injectable treatments at home who were treated with a hospital antihyperglycaemic regimen (basal-bolus insulin, or linagliptin-basal insulin) between January 2016 and December 2017. Propensity score was used to match patients in both treatment groups and a comparative analysis was conducted to test the significance of differences between groups. After matched-pair analysis, 227 patients were included per group. No differences were shown between basal-bolus versus linagliptin-basal regimens for the mean daily blood glucose concentration after admission (standardized difference = 0.011), number of blood glucose readings between 100&ndash, 140 mg/dL (standardized difference = 0.017) and >, 200 mg/dL (standardized difference = 0.021), or treatment failures (standardized difference = 0.011). Patients on basal-bolus insulin received higher total insulin doses and a higher daily number of injections (standardized differences = 0.298 and 0.301, respectively). Basal and supplemental rapid-acting insulin doses were similar (standardized differences = 0.003 and 0.012, respectively). There were no differences in hospital stay length (standardized difference = 0.003), hypoglycaemic events (standardized difference = 0.018), or hospital complications (standardized difference = 0.010) between groups. This study shows that in real-world clinical practice, the linagliptin-basal insulin regimen was as effective and safe as the standard basal-bolus regimen in non-critical patients with type 2 diabetes with mild to moderate hyperglycaemia treated at home without injectable therapies.
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- 2018
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26. Anesthesia in robotic thoracic surgery: case series
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Esther M. González García, L. Giner, Ricardo Guijarro, Mauricio Murcia, M. Granell, J. De Andrés, and Carla Fernandez
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medicine.medical_specialty ,business.industry ,Remifentanil ,Atelectasis ,medicine.disease ,Sugammadex ,Anesthesiology and Pain Medicine ,Muscle relaxation ,Cardiothoracic surgery ,Anesthesia ,medicine ,Robotic surgery ,Rocuronium ,Cardiology and Cardiovascular Medicine ,Airway ,business ,medicine.drug - Abstract
Introduction The first thoracic lobectomies and robotic transsegmental resections date from 2003, since then robotic-assisted thoracic surgeries have been increasing (1). Extensive benefits of robotic-assisted thoracic surgery (RATS) versus video-assisted thoracic surgery (VATS) have been demonstrated, among which we find improvement in surgical field vision, reduction in bleeding and decreased postoperative morphine consumption (2). Therefore, and due to its boom, it's necessary to know the surgical technique and the anesthetic implications involved in the implementation of robotic surgery in our daily clinical practice (3). Methods This is a retrospective descriptive study that includes patients undergoing thoracic surgery using a robotic technique from January 2018 to May 2018 in our hospital. It includes a total of 10 patients, 70% undergoing transsegmental lobar resections and 30% with exeresis of mediastinal cysts. Subsequently, we describe both the anesthetic technique used, as well as the stay in the ICU, the hospital stay and the incidence of postoperative complications. Results Surgical positioning was lateral decubitus in all patients. The anesthetic induction was performed with intravenous midazolam, propofol, fentanyl and rocuronium. Pulmonary separation was performed by double lumen tube with embedded camera (VivaSight DL) for continuous airway monitoring and to facilitate repositioning of the device, invasive blood pressure monitoring, and central venous catheterization. The anesthetic maintenance included inhaled sevoflourane and continuous infusion of remifentanil and rocuronium; after surgery muscle relaxation was reverted with sugammadex. The average length of stay in the ICU and hospital stay was 1.6 days and 6.3 days, respectively. Only 2 patients presented postoperative complications as nosocomial pneumonia, bilateral pleural effusion and presence of atelectasis. One of these was death after 18 days of hospital admission. The 6-month survival was 90%. Discussion Robotic surgery allows performing thoracic interventions in a less invasive way. We must take into account the difficulty in accessing both the airway and peripheral intravenous catheters and we need using of advanced monitoring devices. More studies comparing postsurgical events of interventions performed by robotic surgery versus thoracoscopic surgery are necessary.
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- 2019
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27. The frequency and impact of hypoglycemia among hospitalized patients with diabetes: A population-based study
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Raquel Barba, Ana Guijarro-Contreras, Ricardo Gómez-Huelgas, Rosa Bernal-López, Ricardo Guijarro-Merino, Francisco J. Tinahones, and Antonio Zapatero
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Male ,medicine.medical_specialty ,Pediatrics ,National Health Programs ,Cross-sectional study ,Endocrinology, Diabetes and Metabolism ,Iatrogenic Disease ,Hypoglycemia ,Patient Readmission ,Cohort Studies ,Endocrinology ,Health Transition ,Diabetes mellitus ,Prevalence ,Internal Medicine ,medicine ,Humans ,Hospital Mortality ,Registries ,Intensive care medicine ,Aged ,Retrospective Studies ,Aged, 80 and over ,Hospitals, Public ,business.industry ,Hazard ratio ,Retrospective cohort study ,Odds ratio ,Length of Stay ,Middle Aged ,medicine.disease ,Confidence interval ,Cross-Sectional Studies ,Diabetes Mellitus, Type 1 ,Diabetes Mellitus, Type 2 ,Spain ,Female ,business ,Cohort study - Abstract
We aimed to evaluate the frequency of hypoglycemia and its impact on the length of stay and all-cause in-hospital mortality in hospitalized patients with diabetes. We used data from the Basic Minimum Data Set of the Spanish National Health System. Hypoglycemia was defined as having an ICD-9-CM code 250.8, 251.0, 251.1, and 251.2, and categorized as primary if it was the main cause of admission and secondary if it occurred during the hospital stay. The association between hypoglycemia and the study outcomes was evaluated in two cohorts - with and without secondary hypoglycemia - matched by propensity scores and using multivariate models. Among the 5,447,725 discharges with a diagnosis of diabetes recorded from January 1997 to December 2010, there were 92,591 (1.7%) discharges with primary hypoglycemia and 154,510 (2.8%) with secondary hypoglycemia. The prevalence of secondary hypoglycemia increased from 1.1% in 1997 to a peak of 3.8% in 2007, while the prevalence of primary hypoglycemia remained fairly stable. Primary hypoglycemia was associated with reduced in-hospital mortality (Odds ratio [OR] 0.06; 95% Confidence interval [CI], 0.03-0.10) and a significant decrease in time to discharge (Hazard ratio [HR] 2.53; 95% CI, 2.30-2.76), while secondary hypoglycemia was associated with an increased likelihood of in-hospital mortality (OR 1.12; 95% CI, 1.09-1.15) and a significant increase in time to discharge (HR 0.80; 95% CI, 0.79-0.80). In conclusion, the prevalence of secondary hypoglycemia is increasing in patients with diabetes and is associated with an increased likelihood of in-hospital mortality and a longer hospital stay.
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- 2015
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28. Trend and seasonality in hospitalizations for pulmonary embolism: a time‐series analysis
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Javier Trujillo-Santos, Ricardo Gómez-Huelgas, R. Fernandez-Fernandez, M. Monreal, M. R. Bernal-Lopez, Ricardo Guijarro, J. de Miguel-Díez, Christian Salazar, A. Villalobos, and A. Guijarro-Contreras
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National health ,Pediatrics ,medicine.medical_specialty ,Time Factors ,Databases, Factual ,business.industry ,Incidence ,Incidence (epidemiology) ,Hospital discharge database ,Hematology ,Seasonality ,medicine.disease ,Pulmonary embolism ,Hospitalization ,Spain ,Linear Models ,medicine ,Humans ,In patient ,Seasons ,Autoregressive integrated moving average ,Time series ,Pulmonary Embolism ,business - Abstract
Summary Background The existence of seasonal variability in patients with acute pulmonary embolism (PE) has been debated for years, with contradictory results. The aim of this study was to identify the trend and possible existence of a seasonal pattern in hospitalizations for PE in Spain. Methods We analyzed the hospital discharge database of the Spanish National Health System from 2001 to 2010. Patients aged > 14 years diagnosed with PE were selected and a time series was constructed considering mean daily admissions for PE by month. The trend and seasonality factor of the series were determined using time-series analysis, and time-series modeling was used for analysis. Exponential smoothing models and the autoregressive integrated moving average test were used to generate a predictive model. Results From 2001 to 2010, there were 162 032 diagnoses of PE (5.07 per 1000 hospitalizations). In 105 168 cases, PE was the reason for admission. The PE diagnosis rate ranged from 4.14 per 1000 in 2001 to 6.56 per 1000 in 2010; and hospital admissions due to PE ranged from 2.67 to 4.28 per 1000 hospital discharges. Time-series analysis showed a linear increase in the incidence and a significant seasonal pattern with 17% more admissions in February and 12% fewer in June–July with respect to the central tendency (difference from February to June, 29%). Conclusions The incidence of hospitalizations for PE showed a linear increase and a seasonal pattern, with the highest number of admissions in winter and the lowest number in summer.
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- 2015
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29. Rivaroxaban in the Treatment of Venous Thromboembolism and the Prevention of Recurrences
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Juan I. Arcelus, Francisco Lozano, Sonia Jiménez, J.A. Nieto, David Jiménez, Ricardo Guijarro, Ma del Carmen Fernández-Capitan, José A. Páramo, M. Monreal, and Pere Domènech
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medicine.medical_specialty ,medicine.drug_mechanism_of_action ,Deep vein ,Factor Xa Inhibitor ,Rivaroxaban ,Recurrence ,medicine ,Humans ,Drug Interactions ,Intensive care medicine ,business.industry ,Standard treatment ,Warfarin ,Venous Thromboembolism ,Hematology ,General Medicine ,medicine.disease ,Thrombosis ,Pulmonary embolism ,Venous thrombosis ,medicine.anatomical_structure ,Drug Monitoring ,business ,Factor Xa Inhibitors ,medicine.drug - Abstract
Anticoagulation therapy is the standard treatment of patients with symptomatic venous thromboembolism (VTE), including deep vein thrombosis and pulmonary embolism. Until recently, treatment of VTE was based on parenteral or low-molecular-weight heparin for initial therapy (5-10 days) and oral vitamin K antagonists for long-term therapy. Those treatments have some limitations, including parenteral administration (heparins), the need for frequent monitoring and dose adjustments, interactions with several medications, and dietary restrictions (vitamin K antagonists). Rivaroxaban is a new oral direct factor Xa inhibitor with a wide therapeutic window, predictable anticoagulant effect, no food interactions, and few drug interactions. Consequently, no periodic monitoring of anticoagulation is needed, and fixed doses can be prescribed. EINSTEIN program demonstrated that rivaroxaban was as effective as and significantly safer than standard therapy for treatment of VTE. Rivaroxaban was recently authorized so doubts exist about how to use it in daily clinical practice. This document aims to clarify common questions formulated by clinicians regarding the use of this new drug.
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- 2014
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30. National trends in diabetes mellitus hospitalization in Spain 1997-2010: Analysis of over 5.4 millions of admissions
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María Rosa Bernal-López, Ricardo Gómez-Huelgas, Carmen M. Lara-Rojas, María D. López-Carmona, Luis M. Pérez-Belmonte, and Ricardo Guijarro-Merino
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Population ,Cardiovascular care ,Comorbidity ,Coronary Artery Disease ,030204 cardiovascular system & hematology ,Age and sex ,03 medical and health sciences ,Pulmonary Disease, Chronic Obstructive ,Young Adult ,0302 clinical medicine ,Age Distribution ,Diabetes mellitus ,Cause of Death ,Neoplasms ,Internal Medicine ,medicine ,Diabetes Mellitus ,Humans ,030212 general & internal medicine ,National trends ,Hospital Mortality ,Sex Distribution ,education ,Aged ,Retrospective Studies ,Heart Failure ,education.field_of_study ,business.industry ,Mean age ,Pneumonia ,Middle Aged ,medicine.disease ,Hospitalization ,Stroke ,Logistic Models ,Spain ,Heart failure ,Emergency medicine ,Female ,business ,Hospital stay - Abstract
Aims To analyze national trends in the rates of hospitalizations (all-cause and by principal discharge diagnosis) in total diabetic population of Spain. Methods We carried out a nation-wide population-based study of all diabetic patients hospitalized between 1997 and 2010. All-cause hospitalizations, hospitalizations by principal discharge diagnosis, mean age, Charlson Comorbidity Index, readmission rates and length of hospital stay were examined. Annual rates adjusted for age and sex were analyzed and trends were calculated. Results Over 14-years-period, all-cause hospitalizations of diabetic patients increased significantly, with an average annual percentage change of 2.5 (95%CI: 1.5–3.5; Ptrend Conclusions Hospitalizations of diabetic patients more than doubled in Spain during the study period. Heart failure and neoplasms experienced the greatest annual increases and remained the principal causes of hospitalization, probably associated with advanced age and comorbidities of hospitalized diabetics. Coronary and cerebrovascular diseases experienced a lower annual increase, suggesting an improvement in cardiovascular care in diabetes in Spain.
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- 2017
31. Surgical treatment of low and intermediate grade lung net
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Mariano García Yuste, Ricardo Guijarro, Miguel Angel Cañizares, José María Matilla, Laureano Molins, [Garcia-Yuste, Mariano] Univ Clin Hosp Valladolid, Dept Thorac Surg, Valladolid, Spain, [Maria Matilla, Jose] Univ Clin Hosp Valladolid, Dept Thorac Surg, Valladolid, Spain, [Angel Canizares, Miguel] Univ Hosp Vigo, Dept Thorac Surg, Vigo, Spain, [Molins, Laureano] Univ Clin Hosp Barcelona, Dept Thorac Surg, Barcelona, Spain, and [Guijarro, Ricardo] Univ Gen Hosp Valencia, Dept Thorac Surg, Valencia, Spain
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Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Surgical margin ,Survival ,surgical treatment ,Pulmonary neuroendocrine tumors ,030204 cardiovascular system & hematology ,Typical carcinoid ,atypical carcinoid ,03 medical and health sciences ,0302 clinical medicine ,Medicine ,Intermediate Grade ,Surgical treatment ,Cancer ,Experience ,Frozen section procedure ,Lung ,Bronchial carcinoid-tumors ,business.industry ,Behalf ,Classification ,Resection ,Surgery ,Management ,medicine.anatomical_structure ,European association ,030220 oncology & carcinogenesis ,Original Article ,Lung cancer staging ,conservative lung resection ,business ,Atypical carcinoid - Abstract
Background: Carcinoids now constitute complex tumours which require a multidisciplinary approach and long-term follow-up. Surgical intervention is nowadays confirmed as the mainstay of treatment.Methods: From 1980 to 2015, EMETNE-SEPAR collected 1,339 patients treated surgically for bronchial carcinoid (1,154 typical and 185 atypical carcinoids). Standard and conservative procedures were considered with regard to surgical approach. All the patients with carcinoid were pathologically coded following the standards of the 7th edition 2009 TNM lung cancer staging. Statistical analyses were performed in order to determine whether histology, nodal affectation and surgical technique were associated with significant differences in survival, presence of metastases and local recurrence.Results: The influence of the surgical procedure on overall survival, the presence of metastases and local recurrence were demonstrated as no significant in our sample in central tumours (P>0.05). Sublobar resections in peripheral tumours are related to a decrease in survival in typical carcinoids (P=0.008) with nodal involvement and an increased number of recurrences in atypical carcinoids without nodal involvement (P=0.018).Conclusions: In central typical carcinoid, the use of lung-sparing bronchoplastic techniques could influence local recurrence in some cases. This observation demands the intraoperative pathologic verification of an adequate surgical margin by frozen section. Peripheral typical carcinoids have been surgically treated, occasionally, by sublobar resection. However, in peripheral atypical carcinoid after a limited sublobar resection the observed increase of the probability of local recurrence makes it, in our opinion, not advisable.
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- 2017
32. MicroRNA profiling associated with non-small cell lung cancer: next generation sequencing detection, experimental validation, and prognostic value
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Eloisa Jantus-Lewintre, Rafael Sirera, Sandra Gallach, Ana Blasco, Carlos Camps, David Montaner, Ricardo Guijarro, Marta Usó, Silvia Calabuig-Fariñas, Miguel Martorell, and Sergio Alonso
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0301 basic medicine ,Oncology ,medicine.medical_specialty ,Pathology ,BIOLOGIA CELULAR ,NSCLC ,DNA sequencing ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Medicine ,Lung cancer ,Valencia ,Survival analysis ,biology ,business.industry ,Proportional hazards model ,Profiling ,Experimental validation ,biology.organism_classification ,medicine.disease ,Prognosis ,microRNAs ,MicroRNAs ,030104 developmental biology ,030220 oncology & carcinogenesis ,NGS ,Non small cell ,Personalized medicine ,prognosis ,profiling ,business ,Research Paper - Abstract
[EN] Background: The average five-year survival for non-small cell lung cancer (NSCLC) patients is approximately 15%. Emerging evidence indicates that microRNAs (miRNAs) constitute a new class of gene regulators in humans that may play an important role in tumorigenesis. Hence, there is growing interest in studying their role as possible new biomarkers whose expression is aberrant in cancer. Therefore, in this study we identified dysregulated miRNAs by next generation sequencing (NGS) and analyzed their prognostic value. Methods: Sequencing by oligo ligation detection technology was used to identify dysregulated miRNAs in a training cohort comprising paired tumor/normal tissue samples (N = 32). We validated 22 randomly selected differentially-expressed miRNAs by quantitative real time PCR in tumor and adjacent normal tissue samples (N = 178). Kaplan-Meier survival analysis and Cox regression were used in multivariate analysis to identify independent prognostic biomarkers. Results: NGS analysis revealed that 39 miRNAs were dysregulated in NSCLC: 28 were upregulated and 11 were downregulated. Twenty-two miRNAs were validated in an independent cohort. Interestingly, the group of patients with high expression of both miRNAs (miR-21(high) and miR-188(high)) showed shorter relapse-free survival (RFS) and overall survival (OS) times. Multivariate analysis confirmed that this combined signature is an independent prognostic marker for RFS and OS (p = 0.001 and p < 0.0001, respectively). Conclusions: NGS technology can specifically identify dysregulated miRNA profiles in resectable NSCLC samples. MiR-21 or miR-188 overexpression correlated with a negative prognosis, and their combined signature may represent a new independent prognostic biomarker for RFS and OS., This work was supported by the RD12/0036/0025 and RD06/0020/1024 PI12-02838, ISCIII, grants from the Fondo Europeo de Desarrollo Regional (FEDER), by funds from the Proyecto de Investigacion Fundamental Orientada a la Transmision de Conocimiento a la Empresa (TRACE; TRA09-0132) and Beca Roche Oncohematologia.
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- 2017
33. Analysis of the prognostic role of an immune checkpoint score in resected non-small cell lung cancer patients
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Carlos Camps, Rafael Sirera, Eva García del Olmo, Ana Blasco, Miguel Martorell, Eloisa Jantus-Lewintre, Marta Usó, Silvia Calabuig-Fariñas, and Ricardo Guijarro
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0301 basic medicine ,Immunology ,BIOLOGIA CELULAR ,chemical and pharmacologic phenomena ,Endogeny ,Biology ,NSCLC ,Prognostic ,Immune tolerance ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,medicine ,Immunology and Allergy ,Lung cancer ,Gene ,Original Research ,Checkpoint score ,Lung ,Biomarker ,medicine.disease ,Immune checkpoint ,030104 developmental biology ,medicine.anatomical_structure ,Editorial ,Oncology ,030220 oncology & carcinogenesis ,Cancer research ,Biomarker (medicine) - Abstract
[EN] Tumors develop mechanisms to recruit tolerogenic immune cells and to induce the expression of molecules that act as immune checkpoints. This regulation of the immune microenvironment favors immune tolerance to the neoplastic cells. In this study, we have investigated the prognostic role of immune-checkpoint expression markers in a cohort of resectable non-small cell lung cancer (NSCLC) patients. RNA was isolated from fresh-frozen lung specimens (tumor and normal lung) (n = 178). RTqPCR was performed to analyze the relative expression of 20 immune-related genes that were normalized by the use of endogenous genes selected by GeNorm algorithm. Patients with higher expression levels of IL23A and LGALS2 presented better outcomes. In the clustering expression patterns, we observed that patients with higher expression of immunoregulatory genes had better survival rates. Additionally, these data were used to develop a gene expression score. Since CTLA4 and PD1 were associated with prognosis based on Cox regression analysis (Z-score > 1.5), a multivariate model including these two genes was created. Absolute regression coefficients from this analysis were used in order to calculate the immunecheckpoint score: (PD1 x 0.116) + (CTLA4 x 0.059) for each case. Kaplan-Meier survival analysis showed that patients with high immune-checkpoint score have longer overall survival (OS) [NR vs. 40.4 mo, p = 0.008] and longer relapse-free survival (RFS) [82.6 vs. 23 mo, p = 0.009]. Multivariate analysis in the entire cohort indicated that the immune-checkpoint score was an independent biomarker of prognosis for OS [HR: 0.308; 95% CI, 0.156-0.609; p = 0.001] and RFS [HR: 0.527; 95% CI, 0.298-0.933; p = 0.028] in early-stage NSCLC patients. In conclusion, this score provides relevant prognostic information for a better characterization of early stage NSCLS patients with strikingly different outcomes and who may be candidates for immune-based therapies., This work was supported by the Red Tematica de Investigacion Cooperativa en Cancer (RD12/0036/0025) and the Fondo de Investigacion Sanitaria-Fondo Europeo de Desarrollo Regional (PI09/01147, PI09/01149 and PI12/02838)
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- 2017
34. Valor pronóstico de la expresión del factor de crecimiento endotelial vascular A y del factor inducible por la hipoxia 1α en pacientes operados de cáncer de pulmón no microcítico
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Antonio Francisco Honguero Martínez, Ricardo Guijarro Jorge, Néstor Martínez Hernández, Antonio Arnau Obrer, and Santiago Figueroa Almazán
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Gynecology ,medicine.medical_specialty ,business.industry ,medicine ,General Medicine ,business - Abstract
Resumen Fundamento y objetivo Estudios recientes evidencian que la expresion del hypoxia-inducible factor 1α (HIF-1α, «factor inducible por la hipoxia 1α») favorece la expresion del vascular endothelial growth factor A (VEGF-A, «factor de crecimiento endotelial vascular A»), asi como la proliferacion celular, angiogenesis y metastasis en diferentes canceres, incluido el cancer de pulmon. El objetivo de este estudio fue investigar la correlacion de la expresion del VEGF-A y del HIF-1α con las caracteristicas clinicopatologicas y el pronostico de pacientes operados por cancer de pulmon no microcitico. Pacientes y metodo Estudio prospectivo para analizar la expresion de VEGF-A y HIF-1α mediante reaccion en cadena de la polimerasa en tiempo real en 66 pacientes operados de cancer de pulmon no microcitico. Resultados La edad media (DE) fue de 62,7 (9,8) anos y la relacion varon:mujer de 7,3:1. Segun la nueva clasificacion TNM de 2009, los estadios i , ii y iii incluyeron a 27 (40,9%), 21 (31,8%) y 18 (27,3%) pacientes, respectivamente. La histologia fue: 47% carcinomas escamosos, 33,3% adenocarcinomas y 19,7% otros. El seguimiento medio fue de 42,3 meses, la mediana de supervivencia de 43,2 meses y la supervivencia estimada a los 5 anos del 42,4%. No hubo correlacion entre VEGF-A y HIF-1α (p = 0,306). La sobreexpresion de VEGF-A fue mas frecuente en el estadio avanzado y cuando hubo metastasis ganglionares (p = 0,034 y p = 0,059, respectivamente). En el analisis multivariante, el descriptor T y el VEGF-A fueron factores pronostico independientes ( odds ratio [OR] 2,37, p = 0,016, y OR 2,51, p = 0,008, respectivamente), mientras que HIF-1α no mostro significacion estadistica (p = 0,172), con una OR 0,540. Conclusiones La sobreexpresion de VEGF-A resulto ser un factor pronostico independiente adverso en pacientes intervenidos de cancer de pulmon no microcitico. Por el contrario, la sobreexpresion del HIF-1α mostro una tendencia hacia un efecto protector sobre la supervivencia, pero sin significacion estadistica.
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- 2014
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35. Analysis of Expression of Vascular Endothelial Growth Factor A and Hypoxia Inducible Factor-1alpha in Patients Operated on Stage I Non-Small-Cell Lung Cancer
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Santiago Figueroa Almánzar, Pablo León Atance, Ricardo Guijarro Jorge, Antonio Francisco Honguero Martínez, and Antonio Arnau Obrer
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Pulmonary and Respiratory Medicine ,Oncology ,medicine.medical_specialty ,Pathology ,Article Subject ,Angiogenesis ,business.industry ,education ,medicine.disease ,Metastasis ,Vascular endothelial growth factor A ,Real-time polymerase chain reaction ,Statistical significance ,Internal medicine ,medicine ,Adenocarcinoma ,Lung cancer ,Prospective cohort study ,business ,Research Article - Abstract
Objectives. Recent studies show that expression of hypoxia inducible factor-1alpha (HIF-1α) favours expression of vascular endothelial growth factor A (VEGF-A), and these biomarkers are linked to cellular proliferation, angiogenesis, and metastasis in different cancers. We analyze expression of HIF-1α and VEGF-A to clinicopathologic features and survival of patients operated on stage I non-small-cell lung cancer. Methodology. Prospective study of 52 patients operated on with stage I. Expression of VEGF-A and HIF-1α was performed through real-time quantitative polymerase chain reaction (qRT-PCR). Results. Mean age was 64.7 and 86.5% of patients were male. Stage IA represented 23.1% and stage IB 76.9%. Histology classification was 42.3% adenocarcinoma, 34.6% squamous cell carcinoma, and 23.1% others. Median survival was 81.0 months and 5-year survival 67.2%. There was correlation between HIF-1α and VEGF-A (P=0.016). Patients with overexpression of HIF-1α had a tendency to better survival with marginal statistical significance (P=0.062). Patients with overexpression of VEGF-A had worse survival, but not statistically significant (P=0.133). Conclusion. The present study revealed that VEGF-A showed correlation with HIF-1α. HIF-1α had a tendency to protective effect with a P value close to statistical significance. VEGF-A showed a contrary effect but without statistical significance.
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- 2014
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36. National Trends in Heart Failure Hospitalization Rates in Patients With Diabetes Mellitus: 1997-2010
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Carmen M. Lara-Rojas, Ricardo Gómez-Huelgas, María Rosa Bernal-López, Luis M. Pérez-Belmonte, Ricardo Guijarro-Merino, and María D. López-Carmona
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Male ,medicine.medical_specialty ,Comorbidity ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,Diabetes mellitus ,Diabetes Mellitus ,Medicine ,Humans ,In patient ,030212 general & internal medicine ,National trends ,Registries ,Intensive care medicine ,Aged ,Heart Failure ,business.industry ,General Medicine ,Middle Aged ,medicine.disease ,Hospitalization ,Spain ,Heart failure ,Female ,business - Published
- 2016
37. MA04.03 Lung Tumorspheres Characterization Reveals Cancer Stem-Like Cells Potential Targets and Prognostic Markers in Non-Small Cell Lung Cancer
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Rut Lucas, María-Dolores Chiara, J.D. de-Maya-Girones, Rosa Farràs, Carolina Gandía, Silvia Calabuig-Fariñas, Ana Blasco, Eloisa Jantus-Lewintre, Miguel Martorell, E. Escorihuela, E. Durendez-Saez, Carlos Camps, Rafael Sirera, A. Herreros-Pomares, and Ricardo Guijarro
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Pulmonary and Respiratory Medicine ,Lung ,medicine.anatomical_structure ,Oncology ,business.industry ,Cancer research ,Medicine ,Cancer ,Non small cell ,business ,medicine.disease ,Lung cancer - Published
- 2019
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38. Characterization of lung tumourspheres reveals cancer stem-like cells potential targets and prognostic markers in non-small cell lung cancer
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Silvia Calabuig-Fariñas, Ana Blasco, María-Dolores Chiara, Sergio Alonso, Carlos Camps, Rut Lucas, Rosa Farràs, Eloisa Jantus-Lewintre, Rafael Sirera, A. Herreros Pomares, Miguel Martorell, J.D. de-Maya-Girones, E. Duréndez, Ricardo Guijarro, E. Escorihuela, and Carolina Gandía
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Oncology ,Homeobox protein NANOG ,medicine.medical_specialty ,biology ,business.industry ,CD44 ,Cancer ,Hematology ,medicine.disease ,Internal medicine ,Cohort ,biology.protein ,medicine ,Adenocarcinoma ,Biomarker (medicine) ,business ,Lung cancer ,ITGA6 - Abstract
Background Non-small cell lung cancer (NSCLC) is the first cause of death cancer-related worldwide mainly due to high therapeutic resistance. This resistance is related to cancer stem-like cells (CSCs), for which the identification of targets and markers is still ongoing. Methods Primary cultures from 8 NSCLC patients were established as tumorspheres and as monolayers. CSCs properties were tested for both conditions in vitro and in vivo. The expression of 50 CSCs-related genes was assessed by RTqPCR and proteins of significantly overexpressed genes were examined by immunoblot and immunofluorescence. The prognostic role of these genes was analyzed in a cohort of 661 NSCLC patients from TCGA and validated in an independent cohort of 114 lung adenocarcinoma (ADC) patients. Results Tumorspheres exhibited self-renewal, unlimited exponential growth, drug resistance, great invasion and differentiation capacities in vitro and higher tumorigenic potential than monolayers in vivo. 17 genes were significantly overexpressed in tumorspheres, being NANOG, NOTCH3, CD44, CDKN1A, SNAI1, and ITGA6 the major contributors to distinguish them from adherent cells. Proteins encoded by these genes showed differential localization and expression patterns in ADC tumorspheres. The expression of CDKN1A, SNAI1 and ITGA6 was associated to prognosis, so a score was built based on their regression coefficients from a multivariate model. TCGA patients with high CSCs score show shorter OS in the entire cohort [37.7 vs. 60.4 mo., p = 0.001] and the ADC subcohort [36.6 vs. 53.5 mo., p = 0.003]. Multivariate analysis indicated that this score is an independent biomarker of prognosis for OS in the entire cohort from TCGA [HR: 1.498; 95% CI, 1.167-1.922; p = 0.001] and the ADC subcohort [HR: 1.869; 95% CI, 1.275-2.738; p = 0.001]. The prognostic value is confirmed in an independent cohort of 114 lung adenocarcinoma patients OS (42.90 vs. NR mo, p = 0.020). Conclusions Lung tumorspheres are a useful method for CSCs enrichment. Elevated expression of CDKN1A, SNAI1 and ITGA6 genes is associated with worse prognosis in NSCLC. Funded by CB16/12/00350 from CIBEROnc, PI12-02838, and PI15-00753 from ISCIII, Fundacion Arnal Planelles and Domingo Martinez. Legal entity responsible for the study Fundacion de Investigacion Hospital General de Valencia. Funding CIBEROnc, Instituto de Salud Carlos III; Fundacion Arnal Planelles and Domingo Martinez. Disclosure All authors have declared no conflicts of interest.
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- 2019
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39. P2.03-08 Analysis of Immunosuppressive Factors Produced by CSCs Revealed Galectin-3 as Immune Modulator with Prognostic Value in NSCLC Adenocarcinoma
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S. Gallach, N. Dong, Silvia Calabuig-Fariñas, M. Mosqueda, Rafael Sirera, Ricardo Guijarro, J. Garde, A. Herreros-Pomares, S. Torres, Andrea González, E. Escorihuela, F. Zhang, Eloisa Jantus-Lewintre, and Carlos Camps
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Pulmonary and Respiratory Medicine ,Immune modulator ,Oncology ,business.industry ,Galectin-3 ,Cancer research ,Medicine ,Adenocarcinoma ,business ,medicine.disease ,Value (mathematics) - Published
- 2019
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40. Retrospective evaluation of the use of left sided double-lumen endobronchial tubes with an embedded camera VivaSight-DL® during lung separation in 30 thoracic surgery patients
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A. Broseta, M. Granell Gil, J. De Andrés, P. Kot, I. Carrasco, Ricardo Guijarro, J. Morales, and Mauricio Murcia
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medicine.medical_specialty ,Lung ,Thoracic Surgical Procedure ,business.industry ,medicine.medical_treatment ,Gold standard ,Lumen (anatomy) ,respiratory system ,Surgery ,Anesthesiology and Pain Medicine ,medicine.anatomical_structure ,Cardiothoracic surgery ,medicine ,Intubation ,Cardiology and Cardiovascular Medicine ,Airway ,business ,Survival rate - Abstract
Introduction Lung isolation is essential in thoracic surgery, specially to achieve a lung resection. Left sided double-lumen endobronchial tubes with an embedded camera (VTDL) VivaSight-DL® allow the airway's management and its continuous visualization on a portable external monitor as well as one-lung isolation during anesthetics procedures1. It might be useful in thoracic surgery. Although nowadays the fiberoptic bronchoscopy (FBS) is the “gold standard” to verify the position of endobronchial tubes, the VTDL might become an alternative2. The purpose of this study is to review whether the VTDL reduces or overrides the need for FBS for verification of the endobronchial tube's placement during intubation. Methods Retrospective descriptive and longitudinal study during 14,5 months in the CHGUV for patients who underwent lung resection procedures with VTDL VivaSight-DL® for one-lung isolation. Data collected included: sex, age, body mass index, Mallampati, Cormack-Lehane, ASA risk, difficult intubation, airway's management, FBS use, VTDL size, PEEP, SpO2, FiO2, ETCO2, peak flow, hospital stay, complications, re-admission and mortality. Results 30 patients who underwent lung resection procedures using VTDL were included. The age average was 66’27± 1,65 years. The VTDL was used with direct laryngoscope. Neither of them needed FBS. The intraoperative respiratory parameters were optimal (Fig. 1. TLV: two lung ventilation, OLV: one lung ventilation). The average time of stay in ICU was 1,41 ± 0,45 days and the total hospital stay 6,23 ± 0,83 days. There was 1 re-admission in ICU, 2 in hospital and 11 complications. Survival rate was 100%. Discussion Lung isolation is very important in thoracic surgery. Left sided double-lumen endobronchial tubes with an embedded camera (VTDL) VivaSight-DL® allow the airway's management and its continuous visualization on a portable external monitor as well as one-lung isolation during anesthetics procedures1. It might be useful in thoracic surgery because some studies concludes that this device is useful to check the double lumen insertion and its displacements during the changes of position of the thoracic patients or during the thoracic surgical procedure 2. Perhaps the FBS is now no so necessary as in the past but we needed more studies to analyze this situation.
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- 2019
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41. MUC1-CT mediates corticosteroid responses in COPD
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Javier Milara, Ricardo Guijarro, Adela Serrano, Lucia Diaz, Celia Sanz, Julio Cortijo, and Esteban J. Morcillo
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Hormone response element ,medicine.medical_specialty ,COPD ,business.industry ,medicine.drug_class ,Mucin ,Colocalization ,medicine.disease ,digestive system ,biological factors ,digestive system diseases ,Glucocorticoid receptor ,Endocrinology ,Internal medicine ,Medicine ,Corticosteroid ,skin and connective tissue diseases ,business ,neoplasms ,MUC1 ,Dexamethasone ,medicine.drug - Abstract
Background: Corticosteroid resistance is an acquired condition in chronic obstructive pulmonary disease (COPD) patients and a challenge to develop new anti-inflammatory therapies. In previous reports we showed that cytoplasmic tail of the membrain tethered mucin 1 (MUC1-CT) interacts with glucocorticoid receptor (GR) mediating corticosteroid anti-inflammatory efficacy. Objectives: To analyze the role of MUC1-CT as a key marker of corticosteroid efficacy in COPD Methods: The expression of MUC1-CT and the anti-inflammatory role of dexamethasone were evaluated in neutrophils and bronchial epithelial cells from healthy and COPD patients. Anti-inflammatory effects of dexamethasone and glucocorticoid response element (GRE) activation were tested in bronchial epithelial cells silenced for MUC1 (siRNA-MUC1). Anti-inflammatory effects of dexamethasone were analyzed in a KO-MUC1 model of seven-day smoking mouse. Results: MUC1-CT was down-regulated in lung tissue, neutrophils and airway epithelial cells from COPD patients. Cigarette smoke extract down-regulated MUC1-CT expression and impaired dexamethasone anti-inflammatory effects. In siRNA-MUC1 cells, dexamethasone decreased its anti-inflammatory properties, and showed a lesser activation of GRE signal and induction of anti-inflammatory genes. Confocal fluorescence microscope analysis and immunoprecipitation experiments showed colocalization and interaction of MUC1-CT and GR in response to dexamethasone that decreased in presence of cigarette smoke. In KO-MUC1 smoker mouse model dexamethasone showed poor anti-inflammatory effects. Conclusions: MUC1-CT mediates the anti-inflammatory properties of corticosteroids and the lack of its expression in COPD increases resistance to corticosteroids.
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- 2016
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42. Role of MUC1 in idiopathic pulmonary fibrosis
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Cecilia Martínez, Sonia González, Julio Cortijo, Ricardo Guijarro, Celia Sanz, Beatriz Ballester, and Javier Milara
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Pathology ,medicine.medical_specialty ,business.industry ,05 social sciences ,respiratory system ,030204 cardiovascular system & hematology ,medicine.disease ,respiratory tract diseases ,03 medical and health sciences ,Idiopathic pulmonary fibrosis ,0302 clinical medicine ,medicine.anatomical_structure ,0502 economics and business ,medicine ,Phosphorylation ,Immunohistochemistry ,050211 marketing ,Epithelial–mesenchymal transition ,Signal transduction ,Fibroblast ,business ,Myofibroblast ,MUC1 - Abstract
Background: Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive and irreversible form of fibrotic intersticial lung disease, characterized by uncontrolled fibroblast proliferative processes and alveolar type II epithelial dysfunction. MUC1 is considered as oncogenic molecule by altering signaling pathways involved in cellular proliferation and cell death. Objective: To analyze the implication of MUC1 in IPF Methods: Lung tissue from 14 healthy and 14 IPF patients was obtained. The expression of MUC1 cytoplasmic tail (CT) and its phosphorylation forms in T-1224 and Y-1229 residues were analyzed by western blot and immunohistochemistry. The effect of MUC1 on TGFβ1-Iinduced epithelial to mesenchymal transition (EMT) and fibroblast to myofibroblast transition (FMT) was determined in alveolar type II A549 and fibrobast silenced with siRNA-MUC1. Results: MUC1-CT protein and mRNA expression were increased in lung tissue of IPF patients and mainly located in hyperplasic alveolar type II cells and fibrotic foci areas. T-1224 and Y-1229 phosphorylated forms of MUC1-CT were increased in IPF and undetected in healthy subjects. TGFβ1 promoted EMT by increasing alpha smooth muscle actin, collagen type I, SLUG and SNAIL, and decreasing E-cadherin expression only in wild type cells but not in siRNA-MUC1 cells. Similar results were observed in the TGFβ1-induced FTM process. TGFβ1 induced a MUC1-CT-T-1224 phosphorylation that was necessary to promote Smad3 and ERK1/2 phosphorylations and cellular transformations. Conclusions: MUC1-CT is increased and activated in lung tissue of IPF patients and collaborates with TGFβ1 to induce EMT and FMT cellular transformations. Pharmacologic targeting of MUC-CT may be a promising option for the treatment of IPF.
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- 2016
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43. Analysis of the immune microenvironment in resected non-small cell lung cancer: the prognostic value of different T lymphocyte markers
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Roy M. Bremnes, Silvia Calabuig, Jerónimo Forteza, Rafael Sirera, Ricardo Guijarro, Irene Borreda, Luis Paz-Ares, Ana Blasco, Sonia Molina-Pinelo, Enrique Pastor, Miguel Martorell, Marta Usó, Eloisa Jantus-Lewintre, Carlos Camps, Instituto de Salud Carlos III, European Regional Development Fund, Red Temática de Investigación Cooperativa en Cáncer, Instituto de Salud Carlos III - ISCIII, and Accion Estrategica de Salud del Instituto de Salud Carlos III FIS Intrasalud
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0301 basic medicine ,Male ,Pathology ,Lung Neoplasms ,T-Lymphocytes ,BIOLOGIA CELULAR ,Kaplan-Meier Estimate ,NSCLC ,0302 clinical medicine ,T-Lymphocyte Subsets ,Carcinoma, Non-Small-Cell Lung ,Tumor Microenvironment ,Cytotoxic T cell ,Aged, 80 and over ,FOXP3 ,Forkhead Transcription Factors ,Middle Aged ,Prognosis ,medicine.anatomical_structure ,Oncology ,030220 oncology & carcinogenesis ,CD4 Antigens ,Female ,Adult ,medicine.medical_specialty ,Stromal cell ,Regulatory T cell ,CD8 Antigens ,immune-biomarker ,Prognostic ,03 medical and health sciences ,Immune system ,medicine ,Biomarkers, Tumor ,Research Paper: Autophagy and Cell Death ,Humans ,Immune biomarker ,Tumor stroma ,Tumor compartment ,Aged ,Tumor microenvironment ,business.industry ,VDP::Medical disciplines: 700::Clinical medical disciplines: 750::Oncology: 762 ,tumor stroma ,Cancer ,medicine.disease ,030104 developmental biology ,Immune-biomarker ,Cancer research ,immune ,business ,prognostic ,CD8 - Abstract
[EN] The prognosis of non-small cell lung cancer (NSCLC) remains poor and heterogeneous and new biomarkers are needed. As the immune system plays a pivotal role in cancer, the study of immune-related markers may provide valuable prognostic information of NSCLC. In 122 formalin-fixed, paraffin-embedded tumor tissue samples from early-stage NSCLC, tumor and tumor-near stromal areas were microdissected and gene expression levels of conventional and regulatory T cell markers were assessed by quantitative polymerase chain reaction. Also, the presence of infiltrating CD4+, CD8+, and FOXP3+ cells in tumor samples was assessed by immunohistochemistry. The relative proportion of conventional and regulatory T cells present in the tumor environment was assessed and found to be key to understand the importance that the immune system analysis has in the prognostics of NSCLC patients. The presence of CD8+ cells in the tumor compartment was associated with better outcome, whereas the presence of FOXP3+ cells was associated with worse overall survival. The negative prognostic value of combined biomarkers, indicating high levels of FOXP3 in the stroma and low levels of CD4 or CD8 in tumors, was observed at mRNA level and was validated by immunohistochemistry. In conclusion, the proportion of T helper and cytotoxic cells vs. regulatory T cells in different locations of the tumor microenvironment have opposite prognostic impacts in resected NSCLC., This work was supported by the Red Temática de Investigación Cooperativa en Cáncer (RD12/0036/0025) and the Fondo de Investigación Sanitaria-Fondo Europeo de Desarrollo Regional (PI09/01147, PI09/01149 and PI12/02838).
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- 2016
44. Riesgo de enfermedad tromboembólica venosa en pacientes hospitalizados no quirúrgicos. Grado de acuerdo entre la guía PRETEMED y las recomendaciones de la viii conferencia del American College of Chest Physicians
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Juan Ignacio Perelló González-Moreno, Ricardo Guijarro Merino, Verónica Vallejo Herrera, Aurora Sánchez, David Sánchez Morales, Ricardo Gómez-Huelgas, and Patricia Gallardo Jiménez
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Heparin.low molecular weight ,Gynecology ,medicine.medical_specialty ,business.industry ,Guideline adherence ,medicine ,General Medicine ,business ,Venous thromboembolism ,Estancia hospitalaria ,Fibrinolytic agent - Abstract
Resumen Fundamento y objetivo El objetivo de este estudio es evaluar el grado de adecuacion de tromboprofilaxis en pacientes medicos hospitalizados aplicando 2 guias de practica clinica y analizar el grado de acuerdo entre ambas. Pacientes y metodo Estudio de corte transversal en servicios medicos de un hospital de tercer nivel. Calculamos el riesgo tromboembolico y la adecuacion de tromboprofilaxis aplicando las recomendaciones de la viii conferencia de la American College of Chest Physicians (ACCP) y la Guia de Profilaxis de Patologia Tromboembolica en Patologia Medica (PRETEMED), asi como su concordancia. Resultados Se analizaron 128 pacientes. Segun la guia PRETEMED, el 34,4% de los pacientes tenian riesgo bajo, un 6,3% moderado y un 59,4% alto; la tromboprofilaxis fue adecuada en el 72,7% (intervalo de confianza del 95% [IC 95%] 64,4-79,9), fueron infratratados el 18,8% (IC 95% 12,7-26,2) y sobretratados el 8,6% (IC 95% 4,6-14,4). Segun las recomendaciones de la ACCP, un 50% tenian bajo riesgo y un 50% alto; la tromboprofilaxis fue adecuada en el 74,2% (IC 95% 66,1-81,2), fueron infratratados el 10,9% (IC 95% 6,4-17,3) y sobretratados el 14,8% (IC 95% 9,4-21,8). Agrupando el riesgo PRETEMED en bajo o moderado-alto frente a riesgo ACCP bajo o alto, el indice de concordancia entre guias fue de 0,68 (IC 95% 0,56-0,81). Agrupando el riesgo PRETEMED en bajo-moderado o alto frente a riesgo ACCP bajo o alto el indice de concordancia fue de 0,81 (IC 95% 0,71-0,91). Conclusiones Alrededor de un cuarto de los pacientes medicos hospitalizados no recibieron tromboprofilaxis adecuada, demostrandose un importante margen de mejora. La guia PRETEMED y los criterios de la ACCP presentan diferencias en la valoracion del riesgo debido principalmente a que PRETEMED sobrestima el riesgo de enfermedad tromboembolica venosa al contemplar mas factores de riesgo.
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- 2012
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45. Profilaxis de la enfermedad tromboembólica venosa en cirugía ortopédica mayor. Papel de los nuevos anticoagulantes
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Aurora Sánchez and Ricardo Guijarro Merino
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Rivaroxaban ,medicine.medical_specialty ,business.industry ,Incidence (epidemiology) ,Phases of clinical research ,General Medicine ,medicine.disease ,Pulmonary embolism ,Dabigatran ,Surgery ,medicine ,Apixaban ,business ,Complication ,medicine.drug ,Cause of death - Abstract
Patients undergoing a total hip or total knee arthroplasty are at high risk of thromboembolism in the postoperative period and after hospital discharge; consequently, clinical guidelines recommended thromboprophylaxis for 10-35 days. Although improved surgical techniques and widespread use of anticoagulants have substantially reduced the incidence of thromboembolic events, venous thromboembolic disease is still a dangerous complication and, in these patients, pulmonary embolism remains the main cause of death. Low molecular weight heparins have long been the mainstay of prevention. However, parenteral administration is inconvenient for many patients, which can sometimes cause poor treatment adherence. In recent years, a new class of oral, fixed-dose anticoagulants, with different mechanisms of action, few interactions and a predictable effect, has been developed. At present, a thrombin inhibitor (dabigatran) and two FXa inhibitors (rivaroxaban and apixaban) are available for prophylaxis in patients after total knee or total hip arthroplasty. In several phase III clinical trials, these drugs have been shown to have equal or superior efficacy and a similar degree of safety to conventional therapy with enoxaparin. These new drugs can significantly improve long-term prevention, particularly in the community setting.
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- 2012
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46. Dabigatran, Rivaroxaban and Apixaban versus Enoxaparin for thomboprophylaxis after total knee or hip arthroplasty: Pool-analysis of phase III randomized clinical trials
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Ricardo Guijarro Merino, Timoteo Cámara González, J.A. Nieto, and Noelia Garrido Espada
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Adult ,medicine.medical_specialty ,Pyridones ,Arthroplasty, Replacement, Hip ,Morpholines ,medicine.medical_treatment ,Hemorrhage ,Thiophenes ,law.invention ,Dabigatran ,Rivaroxaban ,Randomized controlled trial ,law ,medicine ,Humans ,Enoxaparin ,Arthroplasty, Replacement, Knee ,business.industry ,Anticoagulants ,Venous Thromboembolism ,Hematology ,Arthroplasty ,Clinical trial ,Treatment Outcome ,Anesthesia ,Orthopedic surgery ,beta-Alanine ,Pyrazoles ,Benzimidazoles ,Apixaban ,business ,Major bleeding ,medicine.drug - Abstract
Objectives To compare the main efficacy and safety endpoints of the pivotal randomised clinical trials (RCTs) on venous thromboembolism (VTE) prevention after total hip (THR) or knee (TKR) replacement with the new oral anticoagulants (NAs) versus enoxaparin. Methods A pool-analysis of 10 RCTs that included 32.144 randomised patients was performed. Efficacy outcomes were total VTE and all-cause mortality, major VTE, and proximal DVT. Safety outcomes were major bleeding, and clinically relevant (major or non-major) bleeding. Results Overall, a significant effect favouring NAs was found for the primary efficacy outcome (RR 0.71; 95%CI 0.56-0.90), major VTE (RR 0.59; 95%CI 0.41-0.84), and proximal DVT (RR 0.51; 95%CI 0.35-0.76). Compared to enoxaparin 40 mg QD, rivaroxaban showed superiority (RR 0.50; 95%CI 0.34-0.73), followed by apixaban (RR 0.63; 95%CI 0.36-1.01) and dabigatran (RR 1.02; 95%CI 0.86-1.20). There was significant heterogeneity among trials and subgroups analysed for these efficacy outcomes. Major bleeding (RR 1.04; 95% CI 0.74-1.46) and clinically relevant bleeding (RR 1.03; 95%CI 0.88-1.21) was similar with NAs or enoxaparin. Rivaroxaban showed a trend toward more major bleeding episodes than enoxaparin (RR 1.88; 95%CI 0.92-3.82) and apixaban showed the lowest clinically relevant bleeding risk (RR 0.81; 95%CI 0.64-1.01). Conclusions Overall, NAs showed more efficacy and same safety when compared to the recommended dose of enoxaparin after THR and TKR. There are little differences in efficacy and bleeding risk among NAs and the type of prophylaxis that should be analysed further.
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- 2012
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47. Clinical-therapeutic management of thoracoscopy in pleural effusion: a groundbreaking technique in the twenty-first century
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J.M. Galbis, Manuel de la Mata, Rafael Esturi, Antonio Arnau, Ricardo Guijarro, and Salvador Figueroa
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Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Pleural effusion ,Biopsy ,medicine.medical_treatment ,Medical Oncology ,History, 21st Century ,Diagnosis, Differential ,Postoperative Complications ,Cytology ,Thoracoscopy ,medicine ,Carcinoma ,Humans ,Mesothelioma ,Aged ,Aged, 80 and over ,medicine.diagnostic_test ,business.industry ,Benignity ,Reproducibility of Results ,General Medicine ,Middle Aged ,medicine.disease ,Surgery ,Pleural Effusion ,Treatment Outcome ,Oncology ,Female ,business ,Pleurodesis ,Follow-Up Studies - Abstract
The aim of this study was to investigate the effectiveness of thoracoscopy in the diagnosis of non-affiliated pleural effusions (PE). A five-year prospective study including data from 110 patients that were clinically diagnosed as benign (14.5%), malign (34.5%) and non-affiliated (50.9%). PE in patents without oncology disease and negative biopsy or cytology were considered as benign. Malignant diagnosis was established according to a pleural biopsy, compatible cytology and/or clinical features. Remaining cases were considered as non-affiliated. Thoracoscopy was done under local anaesthesia and sedation. Thoracoscopy confirmed previous clinical diagnosis of benignity and malignity. Regarding non-affiliated patients, 30.35% were diagnosed after thoracoscopy as unspecific pleuritis, 17.86% mesothelioma and 1.79% pleural tuberculosis (TBC). The other 48.21% of patients reported as non-affiliated were diagnosed with pleural carcinoma. Statistical analysis did not reveal differences between frequencies analysed. Our results indicate that thoracoscopy is a cost-effective and reliable technique for obtaining histological diagnosis in PE and also allows a directed pleurodesis if indicated.
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- 2011
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48. High-throughput screening of new drugs targeting lung CSCs
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N. Dong, M. Mosqueda, Carlos Camps, H.A. Amado Labrador, S. Calabuig Fariñas, E. Escorihuela, Eloisa Jantus-Lewintre, Elena Duréndez-Sáez, E. Masiá, Ester Munera-Maravilla, Cristóbal Aguilar-Gallardo, Ricardo Guijarro, F. Zhang, and J. Murga
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Lung ,medicine.anatomical_structure ,Oncology ,business.industry ,High-throughput screening ,Cancer research ,Medicine ,Hematology ,business - Published
- 2018
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49. Hypertriglyceridemic waist: an alternative to the metabolic syndrome? Results of the IMAP Study (multidisciplinary intervention in primary care)
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A.J. Baca-Osorio, Francisco J. Tinahones, Ricardo Gómez-Huelgas, Manuel Serrano-Ríos, A. Villalobos, J. Mancera-Romero, Ricardo Guijarro, María Rosa Bernal-López, S. Jansen, and F. Salgado
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Adult ,Male ,medicine.medical_specialty ,Waist ,Adolescent ,Endocrinology, Diabetes and Metabolism ,Population ,Medicine (miscellaneous) ,Young Adult ,Risk Factors ,Internal medicine ,Humans ,Medicine ,education ,Triglycerides ,Abdominal obesity ,Aged ,Sedentary lifestyle ,Aged, 80 and over ,Hypertriglyceridemia ,education.field_of_study ,Nutrition and Dietetics ,business.industry ,Cholesterol, HDL ,Urban Health ,Odds ratio ,Middle Aged ,medicine.disease ,Obesity ,Cholesterol ,Cross-Sectional Studies ,Endocrinology ,Diabetes Mellitus, Type 2 ,Cardiovascular Diseases ,Spain ,Obesity, Abdominal ,Female ,Waist Circumference ,Metabolic syndrome ,medicine.symptom ,business ,Diabetic Angiopathies - Abstract
To study the prevalence of hypertriglyceridemic waist (HTGW) in an urban adult Spanish population and its association with type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). We undertook a cross-sectional analysis in a random sample of 2270 individuals (18–80 years of age). All participants provided a clinical history and underwent a physical examination. Blood and urine analyses were conducted. HTGW was diagnosed using anthropometric criteria for the European population (waist circumference: for men, ⩾94 cm; for women, ⩾80 cm) and fasting plasma triglycerides (TGs) ⩾1.71 mmol l−1 (⩾150 mg per 100 ml). The prevalence of HTGW was 14.5% (men: 18.2%, women: 10.8%) and was significantly greater in men
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- 2010
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50. A gene expression signature to characterize human lung adenocarcinoma cancer stem cells
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Silvia Calabuig-Fariñas, Carlos Camps, E. Escorihuela, Rosa Farràs, Hector Amado, Alejandro Herreros-Pomares, Ricardo Guijarro, Miguel Martorell, Ana Blasco, Juan Diego de Maya, Eloisa Jantus-Lewintre, and Cristóbal Aguilar-Gallardo
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Cancer Research ,business.industry ,Expression Signature ,medicine.disease ,Human lung ,medicine.anatomical_structure ,Oncology ,Cancer stem cell ,medicine ,Cancer research ,Adenocarcinoma ,Treatment resistance ,business ,Gene - Abstract
e20547Background: Treatment resistance is linked to cancer stem cells (CSCs), a highly tumorigenic subpopulation of cells with the ability to grow as spheres in non-adherent conditions. The aim of ...
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- 2018
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