Search

Your search keyword '"González Moraleja, Julio"' showing total 24 results
Start Over Author "González Moraleja, Julio"
24 results on '"González Moraleja, Julio"'

1. Remdesivir and three other drugs for hospitalised patients with COVID-19: final results of the WHO Solidarity randomised trial and updated meta-analyses

Author

Pan, Hongchao, Peto, Richard, Henao Restrepo, Ana Maria, Preziosi, Marie-Pierre, Sathiyamoorthy, Vasee, Karim, Quarraisha Abdool, Alejandria, Marissa, Hernàndez García, César, Kieny, Marie-Paule, Malekzadeh, Reza, Murthy, Srinivas, Reddy, K. Srinath, Periago, Mirta Roses, Hanna, Pierre Abi, Abutidze, Akaki, Ader, Florence, Al-Bader, Abdullah, Alhasawi, Almonther, Allum, Emma, Al Mawali, Adhra, Alotaibi, Athari, Alvarez- Moreno, Carlos, Appadoo, Sheila, Arts, Derk, Asiri, Abdullah, Aukrust, Pål, Barratt-Due, Andreas, Genetu Bayih, Abebe, Beaumont, Helena, Bellani, Samir, Benassi, Virginia, Bhargava, Balram, Branca, Mattia, Cappel-Porter, Heike, Cerrato, Nery, Cheick Haidara, Fadima, Chow, Ting Soo, Como, Nadia, Eustace, Joe, Gabunia, Tamar, García, Patricia, Godbole, Sheela, Gotuzzo, Eduardo, Griskevicius, Laimonas, Hamra, Rasha, Hassan, Mariam, Hassany, Mohamed, Hutton, David, Irmansyah, Irmansyah, Jancoriene, Ligita, Khamis, Faryal, Kirwan, Jana, Kumar, Suresh, Lennon, Peter, Lopardo, Gustavo, Lydon, Patrick, Magrini, Nicola, Manevska, Suzana, Manuel, Oriol, McGinty, Sybil, Medina, Marco, Mesa Rubio, Maria Lucia, Miranda Montoya, Maria Consuelo, Nel, Jeremy, Nunes, Estevao, Perola, Markus, Portoles, Antonio, Rasmin, Menaldi, Raza, Aun, Rees, Helen, Reges, Paula, Rogers, Chris, Salami, Kolawole, Salvadori, Marina, Sauermann, Mamatha, Sinani, Narvina, Sow, Samba, Sterne, Jonathan AC, Stevanovikj, Milena, Tacconelli, Evelina, Tavares Maltez, Fernando Manuel, Teferi, Mekonnen, Tikkinen, Kari, Trelle, Sven, Tsertsvadze, Tengiz, Zaid, Hala, Røttingen, John-Arne, Swaminathan, Soumya, Ryan, Michael, Gjermeni, Nevila, Meta, Esmeralda, Aguila, Damian, Alonso, Ignacio, Altamirano, Marcos, Alvarez, María, Alzola, Rodrigo, Arce, Veronica, Arribillaga, Patricia, Avila, Rafael, Balbuena, Juan, Barcelona, Laura, Barletta, José, Benedetti, María, Berdiñas, Verónica, Burgui, Julieta, Caimi, Sabrina, Carrillo, Juan, Carrizo, Juan, Castelli, Juan, Cazaux, Alexis, Cervellino, Flavia, Chalco, Angelo, Chediack, Viviana, Cunto, Eleonora, D'Amico, Nicolàs, de Vedia, Lautaro, Delgado, Carolina, Di Pilla, Debora, Díaz, Miguel, Díaz Aguiar, Pablo, Domínguez, Cecilia, Ellero, Leonor, Farina, Javier, Fernàndez, José, Ferreyra, Roxana, Filippi, María, Fogar, Carolina, Frare, Pablo, Giudiche, Celeste, Golikow, Mariana, Gomez, Maria Georgina, Hermida, Laura, Hurtado, Mariano, Jacobo, Mariela, Jaume, Martin, Laplume, Diego, Lescano, María, Lista, Nicolàs, Loiacono, Flavia, López, Ana Belen, Losso, Marcelo, Luna, Cecilia, Lupo, Sergio, Marianelli, Leonardo, Martin, Anabella, Masciottra, Florencia, Mykietiuk, Analía, Orellano, Lorena, Pachioli, Valeria, Padilla, María José, Pallavicini, Cecilia, Patroso, Jazmin, Perez Blanco, Luz, Presas, Jose Louis, Provenzano, Matias, Lavera, Lorena, Reichert, Viviana, Riveros, Florencia, Rodríguez, Alejandra, Rolon, María José, Salvay, Carolina, Simonetta, María, Sisto, Alicia, Themines, Sandra, Tito, Fernando, Toibaro, Javier, Torales, Graciela, Verón, Luciano, Vizzotti, Carla, Egle, Alexander, Greil, Richard, Joannidis, Michael, Altdorfer, Antoine, Belkhir, Leila, Fraipont, Vincent, Hites, Maya, Arruda, Erico, Breda, Giovanni, Colussi, Arthur, Corradi, Miran, Croda, Julio, Duani, Helena, João, Esaú, Machado, Elizabeth, Mello, Fernanda, Miranda Filho, Demócrito, Monteiro, Poliana, Nunes, Ceuci, Pereira Junior, Luiz Carlos, Pinto, Gustavo, Raboni, Sonia, Ramos, Marcelo, Ruffing, Leonardo, Santos, Valdilea, Souza, Tamara, Medeiros, Melissa, Schwarzbold, Alexandre, Ali, Karim, Azher, Tanweer, Bellemare, David, Binnie, Alexandra, Borgia, Sergio, Cavayas, Yiorgos Alexandros, Chagnon, Nicholas, Cheng, Matthew, Cloutier, Eve, Conly, John, Costiniuk, Cecilia, Daneman, Nick, Douglas, James, Downey, Catarina, Duan, Erick, Durand, Medeline, English, Shane, Farjou, George, Fera, Evadiki, Fontela, Patricia, Fowler, Rob, Fralick, Mike, Gamble, David Gregory, Geagea, Anna, Grant, Jennifer, Harrison, Luke, Havey, Thomas, Hoang, Holly, Kelly, Lauren, Keynan, Yoav, Khwaja, Kosar, Klein, Marina, Kolan, Christophe, Kronfli, Nadine, Lamontagne, Francois, Lee, Nelson, Lee, Todd, Lim, Rachel, Lostun, Alexandra, MacIntyre, Erika, Malhamé, Isabelle, Martin-Carrier, Francois, McGuinty, Marlee, Munan, Matthew, O'Neil, Conar, Ovakim, Daniel, Papenburg, Jesse, Parhar, Ken, Parvathy, SeemaNair, Perez-Patrigeon, Santiago, Rishu, Asgar, Rushton, Moira, Scherr, Kim, Schwartz, Kevin, Semret, Makeda, Silverman, Micahel, Singh, Ameeta, Sligl, Wendy, Smith, Stephanie, Somayaji, Ranjani, Tan, Darrell, Tran, Tuong-Vi, Tremblay, Alain, Tsang, Jennifer, Turgeon, Alexis, Vakil, Erik, Weatherald, Jason, Yansouni, Cedric, Zarychanski, Ryan, Aristizabal, Claudia, Bravo, Juan, Caicedo, Monica, Chacón, Julio, Garzón, Diego, Guevara, Fredy, Lozano-Gonzàlez, Silvia, Macareno, Hugo, Montañez-Ayala, Anita, Oñate, Jose, Rojas-Gambasica, Jose, Rosso, Fernando, Saavedra, Carlos, Valderrama, Sandra, Vàquiro-Herrera, Eliana, Varón-Vega, Fabio, Zuluaga, Ivan, Abdel Baki, Amin, Abdelbary, Akram, Abdel-Razek, Wael, Amin, Wagdi, Asem, Noha, Elassal, Gehan, Elshesheny, Marwa, Fathy, Mohamed, Fathy, Naglaa, Fayed, Notaila, Hammam, Ahmed, Hassany, Sahar, Ibrahim, Hamdy, Kamal, Ehab, Masoud, Hossam, Mohamed, Maryam, Mohamed Gouda, Abdullah, Moustafa, Ehab, Okasha, Shaimaa, Rafik, Ahmed, Said, Ahmed, Sedky, Asmaa, Solyman Kabil, Mohamed, Tarek, Sara, Tharwat, Ahmed, Zaky, Samy, Abegaz, Emawayish Tesema, Bekele, Zelalem Mekonnen, Asfaw, Filmona Mekuria, Tegegne, Netsanet Aragaw, Teklemariam, Miheret Fikre, Nigusse, Frehiwot Tamiru, Achalu, Daniel Legesse, Weldegergs, Shewit Tesfagabr, Huluka, Dawit Kebede, Tereda, Addisu Birhanu, Ala-Kokko, Tero, Delany, Jutta, Ekroos, Heikki, Hankkio, Riina, Haukipää, Mia, Hetemäki, Iivo, Holma, Pia, Holmberg, Ville, Horstia, Saana, Jalkanen, Ville, Jämsänen, Toni, Järventie, Juuso, Järvinen, Petrus, Kalliala, Ilkka, Kauma, Heikki, Kilpeläinen, Tuomas, Kreivi, Hanna-Riikka, Kuitunen, Ilari, Lamminmäki, Satu, Mäkinen, Laura, Mäntylä, Jarkko, Mattila, Tiina, Myllärniemi, Marjukka, Niskanen, Joni, Nykänen, Taina, Nyqvist, Miro, Paajanen, Juuso, Partanen, Terhi, Patovirta, Riitta-Liisa, Paukkeri, Erja-Leena, Puusti, Emmi, Renner, Andreas, Reponen, Emma, Risku, Sari, Rosberg, Tuomas, Rutanen, Jarno, Säilä, Petrus, Salonen, Päivi, Sinisalo, Marjatta, Sivenius, Katariina, Tuominen, Susanna, Aboab, Jerone, Alfaiate, Toni, Andrejak, Claire, Andreu, Pascal, Belhadi, Drifa, Benezit, Francois, Botelho-Nevers, Elisabeth, Bouadma, Lila, Bougon, David, Bouiller, Kevin, Bounes, Fanny, Boyer, Alexandre, Bruel, Cédric, Buffet, Alexandre, Burdet, Charles, Cazanave, Charles, Chabertier, Cyrille, Clere-Jehl, Rapahel, Costagliola, Dominique, Courjon, Johan-Victor, Crockett, Flora, Danion, Francois, Dechanet, Aline, Dellamonica, Jean, Delmas, Christelle, Diallo, Alpha, Djossou, Felix, Dubost, Clement, Dupont, Axelle, Epaulard, Olivier, Faure, Emmmanuel, Faure, Karine, Fayol, Antoine, Figueiredo, Samy, Fougerou, Claire, Gaborit, Benjamin, Gaci, Rostane, Gagneux-Brunon, Amandine, Gallien, Sebastien, Garot, D, Goehringer, Francois, Gruson, Didier, Hinschberger, Olivier, Hulot, Jean-Sebastien, Jaureguiberry, Stephane, Jean-Michel, Vanessa, Kerneis, Solen, Kimmoun, Antoine, Klouche, Kada, Lachatre, Marie, Lacombe, Karine, Laine, Fabrice, Lanoix, Jean Philippe, Laribi, Samira, Launay, Odile, Laviolle, Bruno, Le Moing, Vincent, Le Pavec, Jerome, Lebeaux, David, Leroy, Sylvie, Lescure, Xavier, Livrozet, Marine, Makinson, Alain, Malvy, Denis, Marquette, Charles-Hugo, Martin-Blondel, Guillaume, Mayaux, Julien, Mekontso Dessap, Armand, Mentre, France, Mercier, Noemie, Meziani, Ferhat, Molina, Jean Michel, Mootien, Yoganaden, Mourvillier, Bruno, Navellou, Jean Christoph, Noret, M, Peiffer- Smadja, Nathan, Peytavin, Gilles, Pialoux, Gilles, Pilmis, Benoît, Piroth, Lionel, Poindron, Vincent, Poissy, Julien, Pourcher, Valerie, Quenot, Jean Pierre, Raffi, Francois, Reignier, Jean, Richard, Jean Christoph, Robert, Céline, Saillard, Juliette, Sayre, Naomi, Senneville, Eric, Stefan, Francois, Tellier, Marie Capucine, Terzi, Nicolas, Textoris, Julien, Thiery, Guillame, Timsit, Jean Francois, Tolsma, Violaine, Tubiana, Sarah, Wallet, Florent, Yazdanpanah, Yazdan, Zerbib, Yoann, Aguilar, Carlos, Erazo, Laura, Fiallos, Angel, Figueroa, Rosbinda, Flores, Juan Jose, Melendez, Lesddyy, Moncada, Wendy, Abraham, Ooriapadickal Cherian, Acharya, Chetankumar, Aedula, Vinaya Sekhar, Aggarwal, Richa, Agrawal, Nishant, Agrawal, Umang, Agrawal, Abhishekh, Ahmad, Mohammad, Atal, Shubham, Babu, Avinash, Baidya, Dalim Kumar, Balachandran, Amith, Bangar, Rakhee, Bhadade, Rakesh, Bhandari, Sudhir, Bhapal, Meghavi, Bhardwaj, Pankaj, Bhati, Gaurav, Bhatia, Pradeep, Bhatt, Krishnakant, Bingi, Thrilok Chander, Borse, Rohidas, Buch, Vyom, Chand, Dipti, Chandwani, Ashish, Charan, Jaykaran, Chaudhari, Mayur, Chaudhari, Kirti, Chaudhary, Vipul, Chauhan, Nishant, Chikara, Gaurav, Daswani, Bharti, de Souza, Rosemarie, Desai, Chetna, Divakar, Balusamy, Divhare, Sujeet, Dorairajan, Suresh Kumar, Dutt, Naveen, Ethirajan, Therani Rajan, Gamit, Amit, Gamit, Sweta, Garg, Mahendra, Goenka, Ajay, Goenka, Aniket, Guleria, Randeep, Gupta, Paras, Gupta, Nivedita, Gupta, Madhur, Harde, Minal, Ingle, Vaibhav, Iyer, Shivkumar, Jamalapuram, Vaishnavi, Jayanthi, Rangarajan, Joshi, Rajnish, Kadam, Abhijeet, Kalakuntla, Hemanth, Kalikar, Mrunalini, Kalme, Sayali, Kamble, Suchit, Kant, Ravi, Kantharia, Bansari, Kashikar, Arundhati, Kavishvar, Abhay, Kayina, Choro Athipro, Kerkar, Pranali, Khadanga, Sagar, Khandare, Sagar, Kokate, Pranjali, Komathi, Jayavelu, Krishnan, Vijay, Krishnan, Jayasree, Krishnan, Sumitra, Kulur Mukhyaprana, Sudha, Kumarasamy, N, Mahavar, Sunil, Maitra, Souvik, Majumdar, Falguni, Malhotra, Supriya, Mamulwar, Megha, Malini, Padma, Marwah, Vikas, Maurya, Akhilesh, Mehta, Kedar, Mesipogu, Rajarao, Misra, Shobha, Mitra, Sajal, Mittal, Ankit, Mohan, Bharathi, Momin, Mohmmedirfan, Nag, Vijaya, Nagarajan, Ramakrishnan, Nagmani, Kammili, Narlawar, Uday, Natarajan, Gopalakrishnan, Nischal, Neeraj, Ogale, Dhananjay, Palat, Paltial, Panda, Prasan, Panda, Samiran, Pandya, Amee, Parate, Rohit, Paritekar, Arunita, Patel, Parvati, Patel, Chetna, Patel, Sunaina, Patel, Vitan, Patel, Deep, Patel, Harshad, Patil, Girish, Peter, Deepu, Prasad, Durga, Purohit, Vimlesh, Rabindrarajan, Ebenezer, Ranganathan, Lakshmiarasimhan, Rao, Tushara, Rao, Chakradhara, Rathod, Chirag, Raval, Devang, Ray, Avik, Reddy, Kamini, Rege, Sujata, Revathi, Ayyasamy, Roy, Dhara, Saigal, Saurabh, Sane, Suvarna, Sangale, Shashi, Seetharaman, Krishnamoorthy, Selvamuthu, Poongulali, Seshaiah, Kurada Venkata, Shadrach, Benhur, Shah, Jignesh, Shah, Sonal, Sharma, Swati, Sharma, Raman, Sharma, Shrikant, Singh, Krishna, Singh, Anil, Singh, Arjeet, Singhai, Abhishek, Soneja, Manish, Soni, Kapil Dev, Subhan, Thasneem banu, Subramaniam, Sudharshini, Sudarsanam, Thambu David, Sudarsi, Ravindra Kumar, Suleman, Dawood, Suthar, Nilay, Talati, Shriraj, Tambe, Murlidhar, Tejomurtula, Tilak, Tirupakuzhi Vijayaraghavan, Bharatkumar, Trikha, Anjan, Trivedi, Aarti, Udwadia, Zarir, Upadhyay, Kamlesh, Vasava, Ashwin, Vasudevan, Damodaran, Velayudham, Rajendran, Venkatasubramanian, Ramasubramanian, Verma, Mamta, Waghmare, Rakesh, Waikar, Anushka, Wig, Naveet, Afrilia, Annisa Rizky, Amin, Muhammad, Arlinda, Dona, Avrina, Rossa, Bang, Lois, Djaharuddin, Irawaty, Djojo, Aryan, Driyah, Sri Laning, Erastuti, Mila, Fajarwati, Tetra, Harsini, Harsini, Hartantri, Yovita, Herman, Deddy, Isbaniah, Fathiyah, Karyana, Muhammad, Kusuma, Indra, Mahmudji, Harli Amir, Medison, Irvan, Nugroho, Agung, Nurhayati, Nurhayati, Opitasari, Cicih, Pitoyo, Ceva Wicaksono, Pradana, Antonius Arditya, Raharjo, Sofyan Budi, Rahmaini, Ade, Risniati, Yenni, Riyanto, Bambang Sigit, Sajinadiyasa, I Gede Ketut, Sari, Flora Eka, Sitompul, Pompini Agustina, Soedarsono, Soedarsono, Somia, I Ketut Agus, Sugiri, Yani Jane, Sugiyono, Retna Indah, Susanto, Nugroho Harry, Syarif, Armaji Kamaludi, Yulianto, Aris, Afsharian, Mandana, Akhavi Mirab, Atefehsadat, Amini, Fatemeh, Amini, Mahnaz, Ansarin, Khalil, Baba Mahmoodi, Farhang, Baghaei, Parvaneh, Barazandeh, Fateme, Bayani, Masomeh, Dastan, Farzaneh, Ebrahimpour, Soheil, Eghtesad, Sareh, Fallahi, Mohammad Javad, Fallahpoor Golmaee, Fatemeh, Foroghi Ghomi, Seyed Yaser, Ghadir, Mohammad Reza, Gheitani, Mina, Ghiasvand, Fereshteh, Hafizi Lotfabadi, Saied, Hakamifard, Atousa, Hashemi Madani, Shima Sadat, Hormati, Ahmad, Hosseini, Hamed, Janbakhsh, Alireza, Javanian, Mostafa, Joukar, Farahnaz, Kamali, Alireza, Karampour, Amin, Khajavirad, Nasim, Khodabakhshi, Behnaz, Khodadadi, Javad, Khodashahi, Rozita, Kiani Majd, Somaieh, Mahfoozi, Lida, Mahmoodiyeh, Behnam, Mansour-Ghanaei, Fariborz, Mansouri, Feizollah, Mesgarpour, Bita, Mesri, Mehdi, Mikaeili, Haleh, Miladi, Ronak, Moghadami, Mohsen, Mohamadi, Payam, Mohraz, Minoo, Mohseni Afshar, Zeinab, Moogahi, Sasan, Mousavi Anari, Seyed Alireza, Mozaffar, Seyyed Hassan, Mozdourian, Mahnaz, Najafipour, Reza, Najari, Hamidreza, Nazemiyeh, Masoud, Norouzi, Alireza, Pourkazemi, Aydin, Poustchi, Hossein, Saberhosseini, Seyedeh Naeimeh, Saberi, Marzieh, Saber-Moghaddam, Niloufar, Sadeghi, Anahita, Sadeghi Haddad Zavareh, Mahmoud, Sahraian, Mohammad Ali, Salahi, Mehrdad, Salehi, Mohammad Reza, Sarmadian, Hossein, Sayad, Babak, Shirani, Kiana, Shirvani, Maria, Shojaei, Daryanaz, Shokri, Mehran, Siami, Zeinab, Sima, Ali Reza, Soleimani, Alireza, Soltanmohammad, Saedeh, Tabarsi, Payam, Taghizadieh, Ali, Tavassoli, Samaneh, Varnasseri, Mehran, Vaziri, Siavash, Yadyad, Mohammad Jaafar, Yaghoubi, Shoeleh, Yazdanpanah, Yalda, Yousefi, Farid, Zamanian, Mohammad Hossein, Zand, Farid, Zare Hoseinzade, Elham, Bergin, Colm, Cotter, Aoife, de Barra, Eoghan, Jackson, Arthur, Laffey, John, McCarthy, Cormac, Muldoon, Eavan, Sadlier, Corinna, Maguire, Teresa, Angheben, Andrea, Bai, Francesca, Bandera, Alessandra, Barchiesi, Francesco, Bassetti, Matteo, Bisi, Luca, Bonfanti, Paolo, Calò, Federica, Campoli, Caterina, Canovari, Benedetta, Capetti, Amedeo, Castelli, Francesco, Cauda, Roberto, Cingolani, Antonella, Cocco, Nicolò, Coppola, Nicola, Corcione, Silvia, Cremonini, Eleonora, d'Arminio Monforte, Antonella, de Gaetano Donati, Katleen, De Nardo, Pasquale, De Rosa, Francesco Giuseppe, Degioanni, Maria, Della Siega, Paola, Di Bella, Stefano, Drera, Bruno, Focà, Emanuele, Fornabaio, Chiara, Galli, Massimo, Giacomazzi, Donatella, Gori, Andrea, Gustinetti, Giulia, Iannuzzi, Francesca, Kertusha, Blerta, Lamonica, Silvia, Lichtner, Miriam, Lupia, Tommaso, Luzzati, Roberto, Macera, Margherita, Menatti, Elisabetta, Merelli, Maria, Merlini, Esther, Monari, Caterina, Pan, Angelo, Pecori, Davide, Pezzani, Diletta, Riccardi, Niccolò, Rodari, Paola, Roldan, Eugenia, Rovere, Pierangelo, Rusconi, Stefano, Scabini, Silvia, Tascini, Carlo, Viale, Pierluigi, Vincenzi, Marcello, Zuccalà, Paola, Zucchi, Patrizia, Al-Roomi, Moudhi, Al-Sabah, Salman, Schrapp, Kelly, Hassoun, Mahmoud, Matar, Madonna, Dbouni, Oussaima, Yared, Nadine, Saliba, Michele, Farra, Anna, Riachi, Moussa, Zablockiene, Birute, Reuter, Jean, Staub, Therese, Ab Wahab, Suhaila, Chew, Chun Keat, Chua, Hock Hin, Goh, Pik Pin, Lee, Heng Gee, Leong, Chee Loon, Low, Lee Lee, Mak, Wen Yao, Mohamed Gani, Yasmin, Muhamad, Dzawani, Zaidan, Nor Zaila, Ducker, Camilla, Demiri, Ilir, Aballi, Saad, Berg, Åse, Blomberg, Bjørn, Dalgard, Olav, Dyrhol-Riise, Anne Ma, Eiken, Ragnhild, Ernst, Gernot, Hannula, Ranula, Haugli, Metter, Heggelund, Lars, Hoel, Hedda, Hoff, Dag Arne Lihaug, Holten, Aleksander Rygh, Johannessen, Asgeir, Kåsine, Trine, Kildal, Anders Benjamin, Kittang, Bård Reikvam, Nezvalova-Henriksen, Katerina, Olsen, Inge Christoffer, Olsen, Roy Bjørkolt, Skei, Nina Vibeche, Skudal, Hilde, Tholin, Birgitte, Thoresen, Lars, Trøseid, Marius, Tveita, Anders, Vinge, Leif, Ystrøm, Carl Magnus, Al Jahdhami, Issa, AlNaamani, Khalid, Al Balushi, Zakariya, Pandak, Nenad, Abbas, Salma, Akhtar, Nasim, Azam, Sumeyya, Begum, Dilshad, Hassan, Sadia, Herekar, Fivzia, Khan, Shahzaib, Khan, Ejaz Ahmed, Mahmood, Syed Faisal, Nasir, Nosheen, Rahim, Anum, Sarfaraz, Samreen, Shaikh, Qurat-ul-Ain, Sultan, Faisal, Walayat, Usman, Agurto-Lescano, Erika Cecilia, Alcantara-Díaz, Andrés Martín, Alva-Correa, Ana María, Alvarado-Moreno, José Gustavo, Ángeles-Padilla, Bethsabé, Arbañil-Huamàn, Hugo César, Ávila-Reyes, Pool Christopher, Azañero-Haro, Johan Alexander, Barreto-Rocchetti, Luis Guillermo, Benitez-Peche, Jorge Marko A., Bernal-Màlaga, Karla Hortencia, Cabrera-Portillo, Liliana Norma, Carazas-Chavarry, Reynaldo Javier, Càrcamo, Paloma Mariana, Casimiro-Porras, Indira Catalina, Castillo-Espinoza, Jhuliana, Chacaltana-Huarcaya, Jesús Norberto, Cornejo-Valdivia, Carla Raquel, Cruz-Chereque, Augusto, Del-Aguila-Torres, Keith Cayetano Marcelino, Díaz-Chipana, Erika, Flores-Valdez, Neil, Franco-Vàsquez, Rosanna Andrea, Gallegos-López, Roxana Consuelo, Gastiaburú-Rodriguez, Dauma Yesenia, Gianella-Malca, Gonzalo Ernesto, Gomero-Lopez, Andrés Alonso, Hercilla-Vàsquez, Luis Enrique, Hueda-Zavaleta, Miguel Ángel, Ibarcena-Llerena, Claudia Vanessa, Iberico-Barrera, Carlos Alberto, Inquilla-Castillo, Miguel Angel, Juàrez-Eyzaguirre, Jesus Alberto, Laca-Barrera, Manuel, León-Jiménez, Franco, Luna-Wilson, Carla Vanessa, Màlaga, German, Marin, Ricardo, Mejía-Cordero, Fernando, Mendoza-Laredo, Juan Arturo, Meregildo-Rodríguez, Edinson Dante, Miranda-Manrique, Gonzalo Francisco, Olivera-Chaupis, Marco, Ortega-Monasterios, Fatima Josefina, Otazú-Ybàñez, Jimmy Pedro, Paredes-Moreno, María Angélica, Peña-Mayorga, Claudia Ximena, Peña-Vàsquez, Olivia del Carmen, Peña-Villalobos, Alejandro, Ponce, Oscar J, Ponte-Fernandez, Katherin Estefania, Pro, Jose, Quispe-Nolazco, César Miguel, Ramos-Samanez, Manuel Efrain, Rojas-Murrugarra, Kory Mirtha, Samanez-Pérez, Jorge Mauro, Sànchez-Carrillo, Halbert Chrostian, Sànchez-Garavito, Epifanio, Sànchez-Sevillano, Ricardo Manuel, Sandoval-Manrique, Hernan, Santos-Revilla, Gabriela, Silva-Ramos, Julio Antonio, Solano-Ico, Manuel Alberto, Soto, Alonso, Sotomayor-Woolcott, Giannilu Michelle, Tapia-Orihuela, Ruben Kevin Arnold, Terrazas-Obregón, Carmen Sara, Terrones-Levano, Victor Francisco, Ticona-Huaroto, Cesar Eduardo, Torres-Ninapayta, Walter, Torres-Ruiz, Oscar Martin, Ugarte-Mercado, Dario, Vargas-Anahua, Orlando José, Vàsquez-Becerra, Ruben Dario, Vàsquez-Cerro, José Gabriel, Villegas-Chiroque, Miguel, Williams, Anna Larson, Yauri-Lazo, Randi Mauricio, Abad, Cybele Lara, Andales-Bacolcol, Silverose Ann, Arcegono, Marlon, Arches, Jamie, Astudillo, Mary Grace, Aventura, Emily, Awing, Arlyn, Bala, Mishelle Vonnabie, Bello, Jia An, Blanco, Peter, Benedicto, Jubert, Buno, Susana, Cabrera, Justine, Cajulao, Thea Pamela, Caoili, Janice, Casiple-Amsua, Lina, Catambing, Victor, Chin, Inofel, Chua, Ma. Bernadette, Chua, Mitzi Marie, Climacosa, Fresthel Monica, David-Wang, Aileen, De los Reyes, Virginia, Europa, Gilly May, Fernandez, Lenora, Francisco, Jorge, Garcia, Gerard, Garcia, Jemelyn, Gler, Maria Tarcela, Isidro, Marie Grace Dawn, Javier, Rozelle Jade, Kwek, Marion, Lansang, Mary Ann, Lee, Aileen, Li, Kingbherly, Llanes, Mark Ramon Victor, Llorin, Ryan, Macadato, Omar Khayyam, Malundo, Anna Flor, Mercado, Maria Elizabeth, Mujeres, Mercedes, Nepomuceno, Marisse, Ngo-Sanchez, Katha, Orden, Mary Claire, Pablo-Villamor, Maria Philina, Paez, Ruel Dionisio, Palmes, Patricio, Panaligan, Marion, Quinivista-Yoon, Jenny Mae, Ramos, Mary Shiela Ariola, Ramos -Penalosa, Christine, Reyes, Sheila Marie, Roa, Kathryn, Roman, Arthur Dessi, Rosario, Minette Claire, Roxas, Evalyn, Santos, Lourdes Ella Gonzales, Soldevilla, Helmar, Solante, Rontgene, Suaco, Jane, Tagarda, Daisy, Tang, Issa Rufina, Te, Bob, Teo, Dennis, Tibayan, Christopher John, Villalobos, Ralph Elvi, Ymbong, Duane Richard, Zabat, Gelza Mae, Batkova, Stepanka, Cardoso, Orlando, Garrote, Ana-Raquel, Lino, Sara, Manata, Maria-José, Pinheiro, Helder, Póvoas, Diana, Ramirez, Freddy, Seixas, Diana, Naji, Assem, Al Gethamy, M Al, AL-Mulaify, Mohammed Sami, Al Maghraby, Reem, Alrajhi, A, Al Sharidi, Aynaa, Alotaibi, Naif, AlShaharani, F, Barry, Mazin, Ghonem, Leen, Khalel, Anas, Kharaba, Ayman Mohammed, Alabdan, Lulwah, AlAbdullah, Mohammed Sharaf, Al Shabib, Abdullah, Bengu, Simangele, Bennet, Jacklyn, Dubula, Thozama, Howell, Pauline, Janse van Vuuren, Cloete, Kalla, Ismail, Lifson, Aimee, Maasdorp, Shaun, Magua, Nombulelo, Maluleke, Vongani, Mbhele, Nokuphiwa, Mdladla, Nathi, Mendelson, Mark, Menezes, Colin, Mwelase, Thando, Nchabeleng, Maphoshane, Palanee-Phillips, Thesla, Parker, Victoria, Rassool, Mohammed, Reeder, Paul, Sossen, Bianca, Steyn, Dewald, Tsitsi, Merika, van Blydenstein, Sarah Alex, Venter, Michelle, Van Vuuren, Janse, Venturas, Jacquie, Abad Pérez, Daniel, Abenza, Maria José, Alarcón-Payer, Carolina, Armero Garrigos, Eva, Arribas, Jose Ramon, Ascaso, Ana, Berenguer, Juan, Cabello-Clotet, Noemí, Chamorro Tojeiro, Sandra, Cuenca-Acevedo, Rafael, de la Calle, Fernando, Del Toro, Maria Dolores, Díaz Pollàn, Beatriz, Diez, Cristina, Esquillor-Rodrigo, María José, Estrada, Vicente, Fanciulli, Chiara, Fanjul, Francisco, Fernàndez de Orueta, Lucía, Ferre, Adrian, Ferreira Pasos, Eva Maria, Gainzarain-Arana, Juan-Carlos, Garcia, Felipe, García Deltoro, Miguel, Goikoetxea Agirre, Ane Josune, Gómez Barquero, Julia, Gomez-Huelgas, Ricardo, Gonzàlez Moraleja, Julio, Guijarro, Carlos, Gutierrez, Felix, Guzmàn, Jesús, Ibarguren, Maialen, Iribarren, Jose Antonio, Jerusalem, Koen, Juan Arribas, Arturo, Lalueza, A, Leone, Antonio, Lopez Azkarreta, Iñigo, Lozano-Martin, Daniel, Lucendo, Alfredo J, Luengo López, Mariella, Martín Oterino, JA, Masa, JF, Merino, Esperanza, Monge-Maillo, Begoña, Moran-Rodríguez, Miguel-Angel, Muñez Rubio, Elena, Muñoz Sanchez, Josefa, Nuñez Orantos, Maria Jose, Nuño, Enrique, Ortiz-De-Zarate-Ibarra, Zuriñe, Pagàn-Muñoz, Bàrbara, Paño-Pardo, José Ramón, Peñaranda, Maria, Pérez Chica, Gerardo, Pérez Fernàndez, AM, Pérez-López, Carmen, Polo San Ricardo, Victor, Portu-Zapirain, Joseba, Puchades, Francesco, Rivas Paterna, Ana Belen, Rodríguez Vidigal, Francisco F, Rodríguez-Baño, Jesus, Ruiz-Seco, Pilar, Ryan, Pablo, Saez-De-Adana, Ester, Salas, Rosario, Salavert Lletí, Miguel, Sandoval, Raquel, Toyas-Miazza, Carla, Valencia, Jorge, Vargas, Emilio, Velasco, Maria, Von Wichmann, Miguel Angel, Bosshard, Andreas, Calmy, Alexandra, Castro, Tiago, Cavassini, Matthias, Clerc, Olivier, Conen, Anna, Desbaillets, Nicolas, Desgranges, Florian, Duss, Francois, Emonet, Stephane, Erard, Veronique, Eyer, Myriam, Fayet-Mello, Aurélie, Flammer, Yvonne, Friedl, Andrée, Fulchini, Rosamaria, Furrer, Hansjakob, Garin, Nicolas, Gastberger, Salome, Greiner, Michael, Haefliger, David, Haubitz, Sebastian, Hoffmann, Matthias, Isenring, Egon, Jakopp, Barbara, Lampert, Markus, Marinosci, Annalisa, Martin, Yvonne, Petignat, Pierre-Auguste, Piso, Rein Jan, Prendki, Virginie, Rutishauser, Jonas, Schaefer, Elisabeth, Schmiedel, Yvonne, Schwery, Stefan, Stavropoulou, Elisavet, Stoeckle, Marcel, Suttels, Veronique, Thurnher, Maria Christine, van den Bogaart, Lorena, West, Emily, Wiegand, Jan, and Wiggli, Benedikt

Published
2022
Full Text
View/download PDF

2. Estimation of Admission D-dimer Cut-off Value to Predict Venous Thrombotic Events in Hospitalized COVID-19 Patients: Analysis of the SEMI-COVID-19 Registry

Author

García-Cervera, Carles, Giner-Galvañ, Vicente, Wikman-Jorgensen, Philip, Laureiro, Jaime, Rubio-Rivas, Manuel, Gurjian Arena, Anthony, Arnalich-Fernandez, Francisco, Beato Pérez, José Luis, Vargas Núñez, Juan Antonio, González Igual, Jesús Javier, Díez-Manglano, Jesús, Méndez Bailón, Manuel, García Blanco, María José, Freire Castro, Santiago J., Aranda Lobo, Judit, Manzano, Luis, Magallanes Gamboa, Jeffrey Oskar, Arribas Pérez, Luis, González Moraleja, Julio, Calderón Hernaiz, Ruth, García Alegría, Javier, González Noya, Amara, Gómez Huelgas, Ricardo, Lumbreras Bermejo, Carlos, and Antón Santos, Juan Miguel

Published
2021
Full Text
View/download PDF

4. Impact of Arterial Stiffness on All-Cause Mortality in Patients Hospitalized With COVID-19 in Spain

Author

Rodilla Sala, Enrique, López Carmona, Maria Dolores, Cortes, Xavi, Cobos Palacios, Lidia, Canales, Sergio, Sáez, Maria Carmen, Campos Escudero, Samara, Rubio-Rivas, Manuel, Díez Manglano, Jesús, Freire Castro, Santiago, Vázquez Piqueras, Nuria, Mateo Sanchis, Elisabeth, Pesqueira Fontan, Paula Maria, Magallanes Gamboa, Jeffrey Oskar, González García, Andrés, Madrid Romero, Victor, Tamargo Chamorro, Lara, González Moraleja, Julio, Villanueva Martínez, Javier, González Noya, Amara, Suárez Lombraña, Ana, Gracia Gutiérrez, Anyuli, López Reboiro, Manuel Lorenzo, Ramos Rincón, José Manuel, Gómez Huelgas, Ricardo, and SEMI-COVID-19 Network

Subjects
Male, heart failure, Blood Pressure, Comorbidity, Kaplan-Meier Estimate, Insuficiència cardíaca, 030204 cardiovascular system & hematology, Pulmonary Disease, Chronic Obstructive, 0302 clinical medicine, blood pressure, Cause of Death, Epidemiology, Odds Ratio, Hospital Mortality, Registries, 030212 general & internal medicine, Cause of death, Aged, 80 and over, Age Factors, Middle Aged, Prognosis, arterial stiffness, Cardiovascular diseases, Cardiovascular Diseases, Female, COVID-19, hypertension, medicine.medical_specialty, Heart failure, pulse pressure, 03 medical and health sciences, Vascular Stiffness, Internal medicine, Internal Medicine, medicine, Humans, Obesity, Pandemics, Aged, Retrospective Studies, SARS-CoV-2, business.industry, Malalties cardiovasculars, Retrospective cohort study, Original Articles, Odds ratio, medicine.disease, Blood pressure, Spain, Arterial stiffness, business
Abstract

Older age and cardiovascular comorbidities are well-known risk factors for all-cause mortality in patients with coronavirus disease 2019 (COVID-19). Hypertension and age are the 2 principal determinants of arterial stiffness (AS). This study aimed to estimate AS in patients with COVID-19 requiring hospitalization and analyze its association with all-cause in-hospital mortality. This observational, retrospective, multicenter cohort study analyzed 12 170 patients admitted to 150 Spanish centers included in the SEMI-COVID-19 Network. We compared AS, defined as pulse pressure ≥60 mm Hg, and clinical characteristics between survivors and nonsurvivors. Mean age was 67.5 (±16.1) years and 42.5% were women. Overall, 2606 (21.4%) subjects died. Admission systolic blood pressure (BP) P P =0.0001; ORadj: 1.48, P =0.0001, respectively) after adjusting for sex (males, ORadj: 1.6, P =0.0001), age tertiles (second and third tertiles, ORadj: 2.0 and 4.7, P =0.0001), Charlson Comorbidity Index (second and third tertiles, ORadj: 4.8 and 8.6, P =0.0001), heart failure, and previous and in-hospital antihypertensive treatment. Our data show that AS and admission systolic BP

Published
2021

5. Inappropriate antibiotic use in the COVID-19 era: Factors associated with inappropriate prescribing and secondary complications. Analysis of the registry SEMI-COVID

Author

Calderón Parra, Jorge, Muiño Míguez, Antonio, Bendala Estrada, Alejandro David, Ramos Martínez, Antonio, Muñez Rubio, Elena, Fernández Carracedo, Eduardo, Tejada Montes, Javier, Rubio-Rivas, Manuel, Arnalich Fernández, Francisco, Beato Pérez, Jose Luis, García Bruñén, Jose Miguel, Corral-Beamonte, Esther del, Pesqueira Fontan, Paula Maria, Carmona, Maria Del Mar, Fernández-Madera Martínez, Rosa, González García, Andrés, Salazar Mosteiro, Cristina, Tuñón de Almeida, Carlota, González Moraleja, Julio, Deodati, Francesco, Martín Escalante, María Dolores, Asensio Tomás, María Luisa, Gómez Huelgas, Ricardo, Casas Rojo, José, Millán Núñez-Cortés, Jesús, and For The Semi-covid-19 Network

Subjects
0301 basic medicine, Male, Viral Diseases, Epidemiology, Physiology, Antibiotics, Fevers, Inappropriate Prescribing, Comorbidity, medicine.disease_cause, Medical Conditions, 0302 clinical medicine, Risk Factors, Medicine and Health Sciences, Coughing, Odds Ratio, Medicine, 030212 general & internal medicine, Registries, Multidisciplinary, Antimicrobials, Drugs, Acute Kidney Injury, Middle Aged, Anti-Bacterial Agents, Infectious Diseases, C-Reactive Protein, Superinfection, Cohort, Female, Research Article, medicine.medical_specialty, Fever, medicine.drug_class, Science, Immunology, 030106 microbiology, Pharmacy practice, Microbiology, Autoimmune Diseases, 03 medical and health sciences, Signs and Symptoms, Antibiotic resistance, Microbial Control, Internal medicine, Humans, Medical prescription, Aged, Retrospective Studies, Atenció farmacèutica, Pharmacology, business.industry, SARS-CoV-2, Pharmacy--Practice, Biology and Life Sciences, COVID-19, Covid 19, Retrospective cohort study, Odds ratio, medicine.disease, Dyspnea, Logistic Models, Cough, Antibiotic Resistance, Medical Risk Factors, Clinical Immunology, Antimicrobial Resistance, Clinical Medicine, Physiological Processes, business
Abstract

Background Most patients with COVID-19 receive antibiotics despite the fact that bacterial co-infections are rare. This can lead to increased complications, including antibacterial resistance. We aim to analyze risk factors for inappropriate antibiotic prescription in these patients and describe possible complications arising from their use. Methods The SEMI-COVID-19 Registry is a multicenter, retrospective patient cohort. Patients with antibiotic were divided into two groups according to appropriate or inappropriate prescription, depending on whether the patient fulfill any criteria for its use. Comparison was made by means of multilevel logistic regression analysis. Possible complications of antibiotic use were also identified. Results Out of 13,932 patients, 3047 (21.6%) were prescribed no antibiotics, 6116 (43.9%) were appropriately prescribed antibiotics, and 4769 (34.2%) were inappropriately prescribed antibiotics. The following were independent factors of inappropriate prescription: February-March 2020 admission (OR 1.54, 95%CI 1.18–2.00), age (OR 0.98, 95%CI 0.97–0.99), absence of comorbidity (OR 1.43, 95%CI 1.05–1.94), dry cough (OR 2.51, 95%CI 1.94–3.26), fever (OR 1.33, 95%CI 1.13–1.56), dyspnea (OR 1.31, 95%CI 1.04–1.69), flu-like symptoms (OR 2.70, 95%CI 1.75–4.17), and elevated C-reactive protein levels (OR 1.01 for each mg/L increase, 95% CI 1.00–1.01). Adverse drug reactions were more frequent in patients who received ANTIBIOTIC (4.9% vs 2.7%, p < .001). Conclusion The inappropriate use of antibiotics was very frequent in COVID-19 patients and entailed an increased risk of adverse reactions. It is crucial to define criteria for their use in these patients. Knowledge of the factors associated with inappropriate prescribing can be helpful.

Published
2021

6. ASSOCIATION OF HYPERTENSION WITH ALL-CAUSE MORTALITY AMONG HOSPITALIZED PATIENTS WITH COVID-19

Author

Rodilla, Enrique, primary, Saura, Alberto, additional, Jiménez, Iratxe, additional, Mendizábal, Andrea, additional, Pineda-Cantedo, Araceli, additional, Lorenzo-Hernández, Elizabeth, additional, Fidalgo-Montero, Maria Del Pilar, additional, López-Cuervo, Joaquín Fernández, additional, Gil-Sánchez, Ricardo, additional, Rabadán-Pejenaute, Elisa, additional, Abella-Vázquez, Lucy, additional, Giner-Galvañ, Vicente, additional, Solís-Marquínez, Marta Nataya, additional, Boixeda, Ramon, additional, Peña-Fernández, Andrés De La, additional, Carrasco-Sánchez, Francisco Javier, additional, González-Moraleja, Julio, additional, Torres-Peña, José David, additional, Guisado-Espartero, María Esther, additional, Escobar-Sevilla, Joaquín, additional, Guzmán-García, Marcos, additional, Martín-Escalante, María Dolores, additional, Martínez-González, Ángel Luis, additional, Casas-Rojo, José Manuel, additional, and Gómez-Huelgas, Ricardo, additional

Published
2021
Full Text
View/download PDF

8. Severity scores in COVID-19 pneumonia: a multicenter, retrospective, cohort study

Author

Artero, Arturo, Madrazo, Manuel, Fernández-Garcés, Mar, Muiño Miguez, Antonio, González García, Andrés, Crestelo Vieitez, Anxela, García Guijarro, Elena, Fonseca Aizpuru, Eva María, García Gómez, Miriam, Areses Manrique, María, Martinez Cilleros, Carmen, Fidalgo Moreno, María Del Pilar, Loureiro Amigo, José, Gil Sánchez, Ricardo, Rabadán Pejenaute, Elisa, Abella Vázquez, Lucy, Cañizares Navarro, Ruth, Solís Marquínez, Marta Nataya, Carrasco Sánchez, Francisco Javier, González Moraleja, Julio, Montero Rivas, Lorena, Escobar Sevilla, Joaquín, Martín Escalante, María Dolores, Gómez-Huelgas, Ricardo, Ramos-Rincón, José Manuel, and SEMI-COVID-19 Network

Subjects
Male, community-acquired pneumonia, Organ Dysfunction Scores, medicine.medical_treatment, 01 natural sciences, Severity of Illness Index, law.invention, Cohort Studies, 0302 clinical medicine, qSOFA, Community-acquired pneumonia, law, PSI, 030212 general & internal medicine, Hospital Mortality, Original Research, CURB-65, food and beverages, Prognosis, Intensive care unit, Community-Acquired Infections, Intensive Care Units, Viral pneumonia, Female, COVID-19, COVID-19, CURB-65, PSI, community-acquired pneumonia, qSOFA, medicine.medical_specialty, Communicable Diseases, 03 medical and health sciences, Internal medicine, Internal Medicine, medicine, Humans, 0101 mathematics, Aged, Retrospective Studies, Mechanical ventilation, Receiver operating characteristic, business.industry, SARS-CoV-2, fungi, 010102 general mathematics, Retrospective cohort study, Pneumonia, medicine.disease, business
Abstract

BACKGROUND: Identification of patients on admission to hospital with coronavirus infectious disease 2019 (COVID-19) pneumonia who can develop poor outcomes has not yet been comprehensively assessed. OBJECTIVE: To compare severity scores used for community-acquired pneumonia to identify high-risk patients with COVID-19 pneumonia. DESIGN: PSI, CURB-65, qSOFA, and MuLBSTA, a new score for viral pneumonia, were calculated on admission to hospital to identify high-risk patients for in-hospital mortality, admission to an intensive care unit (ICU), or use of mechanical ventilation. Area under receiver operating characteristics curve (AUROC), sensitivity, and specificity for each score were determined and AUROC was compared among them. PARTICIPANTS: Patients with COVID-19 pneumonia included in the SEMI-COVID-19 Network. KEY RESULTS: We examined 10,238 patients with COVID-19. Mean age of patients was 66.6 years and 57.9% were males. The most common comorbidities were as follows: hypertension (49.2%), diabetes (18.8%), and chronic obstructive pulmonary disease (12.8%). Acute respiratory distress syndrome (34.7%) and acute kidney injury (13.9%) were the most common complications. In-hospital mortality was 20.9%. PSI and CURB-65 showed the highest AUROC (0.835 and 0.825, respectively). qSOFA and MuLBSTA had a lower AUROC (0.728 and 0.715, respectively). qSOFA was the most specific score (specificity 95.7%) albeit its sensitivity was only 26.2%. PSI had the highest sensitivity (84.1%) and a specificity of 72.2%. CONCLUSIONS: PSI and CURB-65, specific severity scores for pneumonia, were better than qSOFA and MuLBSTA at predicting mortality in patients with COVID-19 pneumonia. Additionally, qSOFA, the simplest score to perform, was the most specific albeit the least sensitive.

Published
2020

9. Clinical Value of the Ankle-Brachial Index in Patients at Risk of Cardiovascular Disease but Without Known Atherothrombotic Disease: VITAMIN Study

Author

Manzano, Luis, de D. García-Díaz, Juan, Gómez-Cerezo, Jorge, Mateos, Javier, del Valle, Francisco J., Medina-Asensio, Jesús, Viejo, Luis F., Fernández-Ballesteros, Ángel, Solís, Javier, Herrero-Domingo, Almudena, Ferreira, Eva, Sánchez-Fuentes, Demetrio, Barragán, José M., González-Moraleja, Julio, Vargas, Juan A., López-Jiménez, Manuel, and Zamora, Javier

Published
2006
Full Text
View/download PDF

10. Valor de la determinación del índice tobillo-brazo en pacientes de riesgo vascular sin enfermedad aterotrombótica conocida: estudio VITAMIN

Author

Manzano, Luis, García-Díaz, Juan de D., Gómez-Cerezo, Jorge, Mateos, Javier, del Valle, Francisco J., Medina-Asensio, Jesús, Viejo, Luis F., Fernández-Ballesteros, Ángel, Solís, Javier, Herrero-Domingo, Almudena, Ferreira, Eva, Sánchez-Fuentes, Demetrio, Barragán, José M., González-Moraleja, Julio, Vargas, Juan A., López-Jiménez, Manuel, and Zamora, Javier

Published
2006
Full Text
View/download PDF

11. Association of Hypertension with All-Cause Mortality among Hospitalized Patients with COVID-19

Author

Rodilla, Enrique, primary, Saura, Alberto, additional, Jiménez, Iratxe, additional, Mendizábal, Andrea, additional, Pineda-Cantero, Araceli, additional, Lorenzo-Hernández, Elizabeth, additional, Fidalgo-Montero, Maria del Pilar, additional, López-Cuervo, Joaquín Fernandez, additional, Gil-Sánchez, Ricardo, additional, Rabadán-Pejenaute, Elisa, additional, Abella-Vázquez, Lucy, additional, Giner-Galvañ, Vicente, additional, Solís-Marquínez, Marta Nataya, additional, Boixeda, Ramon, additional, Peña-Fernández, Andrés de la, additional, Carrasco-Sánchez, Francisco Javier, additional, González-Moraleja, Julio, additional, Torres-Peña, José David, additional, Guisado-Espartero, María Esther, additional, Escobar-Sevilla, Joaquín, additional, Guzmán-García, Marcos, additional, Martín-Escalante, María Dolores, additional, Martínez-González, Ángel Luis, additional, Casas-Rojo, José Manuel, additional, and Gómez-Huelgas, Ricardo, additional

Published
2020
Full Text
View/download PDF

12. Severity Scores in COVID-19 Pneumonia: a Multicenter, Retrospective, Cohort Study.

Author

Artero, Arturo, Madrazo, Manuel, Fernández-Garcés, Mar, Muiño Miguez, Antonio, González García, Andrés, Crestelo Vieitez, Anxela, García Guijarro, Elena, Fonseca Aizpuru, Eva María, García Gómez, Miriam, Areses Manrique, María, Martinez Cilleros, Carmen, Fidalgo Moreno, María del Pilar, Loureiro Amigo, José, Gil Sánchez, Ricardo, Rabadán Pejenaute, Elisa, Abella Vázquez, Lucy, Cañizares Navarro, Ruth, Solís Marquínez, Marta Nataya, Carrasco Sánchez, Francisco Javier, and González Moraleja, Julio

Subjects
COVID-19, OBSTRUCTIVE lung diseases, ACUTE kidney failure, ADULT respiratory distress syndrome, RECEIVER operating characteristic curves
Abstract

Background: Identification of patients on admission to hospital with coronavirus infectious disease 2019 (COVID-19) pneumonia who can develop poor outcomes has not yet been comprehensively assessed. Objective: To compare severity scores used for community-acquired pneumonia to identify high-risk patients with COVID-19 pneumonia. Design: PSI, CURB-65, qSOFA, and MuLBSTA, a new score for viral pneumonia, were calculated on admission to hospital to identify high-risk patients for in-hospital mortality, admission to an intensive care unit (ICU), or use of mechanical ventilation. Area under receiver operating characteristics curve (AUROC), sensitivity, and specificity for each score were determined and AUROC was compared among them. Participants: Patients with COVID-19 pneumonia included in the SEMI-COVID-19 Network. Key results: We examined 10,238 patients with COVID-19. Mean age of patients was 66.6 years and 57.9% were males. The most common comorbidities were as follows: hypertension (49.2%), diabetes (18.8%), and chronic obstructive pulmonary disease (12.8%). Acute respiratory distress syndrome (34.7%) and acute kidney injury (13.9%) were the most common complications. In-hospital mortality was 20.9%. PSI and CURB-65 showed the highest AUROC (0.835 and 0.825, respectively). qSOFA and MuLBSTA had a lower AUROC (0.728 and 0.715, respectively). qSOFA was the most specific score (specificity 95.7%) albeit its sensitivity was only 26.2%. PSI had the highest sensitivity (84.1%) and a specificity of 72.2%. Conclusions: PSI and CURB-65, specific severity scores for pneumonia, were better than qSOFA and MuLBSTA at predicting mortality in patients with COVID-19 pneumonia. Additionally, qSOFA, the simplest score to perform, was the most specific albeit the least sensitive. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

13. Prior Treatment with Statins is Associated with Improved Outcomes of Patients with COVID-19: Data from the SEMI-COVID-19 Registry.

Author

Torres-Peña, José David, Pérez-Belmonte, Luis M., Fuentes-Jiménez, Francisco, López Carmona, Mª Dolores, Pérez-Martinez, Pablo, López-Miranda, José, Carrasco Sánchez, Francisco Javier, Vargas Núñez, Juan Antonio, del Corral Beamonte, Esther, Magallanes Gamboa, Jeffrey Oskar, González García, Andrés, González Moraleja, Julio, Cortés Troncoso, Andrés, Taboada Martínez, María Luisa, del Fidalgo Montero, María del Pilar, Seguí Ripol, José Miguel, Gil Sánchez, Ricardo, Alegre González, Diana, Boixeda, Ramon, and Cortés Rodríguez, Begoña

Subjects
STATINS (Cardiovascular agents), RESEARCH, COVID-19, SCIENTIFIC observation, CROSS-sectional method, RETROSPECTIVE studies, MEDICAL cooperation, TREATMENT effectiveness
Abstract

Background: The impact of statins on COVID-19 outcomes is important given the high prevalence of their use among individuals at risk for severe COVID-19. Our aim is to assess whether patients receiving chronic statin treatment who are hospitalized with COVID-19 have reduced in-hospital mortality if statin therapy is maintained during hospitalization. Methods: This work is a cross-sectional, observational, retrospective multicenter study that analyzed 2921 patients who required hospital admission at 150 Spanish centers included in the nationwide SEMI-COVID-19 Network. We compared the clinical characteristics and COVID-19 disease outcomes between patients receiving chronic statin therapy who maintained this therapy during hospitalization versus those who did not. Propensity score matching was used to match each statin user whose therapy was maintained during hospitalization to a statin user whose therapy was withdrawn during hospitalization. Results: After propensity score matching, continuation of statin therapy was associated with lower all-cause mortality (OR 0.67, 0.54–0.83, p < 0.001); lower incidence of acute kidney injury (AKI) (OR 0.76,0.6–0.97, p = 0.025), acute respiratory distress syndrome (ARDS) (OR 0.78, 0.69- 0.89, p < 0.001), and sepsis (4.82% vs 9.85%, p = 0.008); and less need for invasive mechanical ventilation (IMV) (5.35% vs 8.57, p < 0.001) compared to patients whose statin therapy was withdrawn during hospitalization. Conclusions: Patients previously treated with statins who are hospitalized for COVID-19 and maintain statin therapy during hospitalization have a lower mortality rate than those in whom therapy is withdrawn. In addition, statin therapy was associated with a decreased probability that patients with COVID-19 will develop AKI, ARDS, or sepsis and decreases the need for IMV. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

14. Evaluación de la oximetría nocturna en el control de la eficacia de la ventilación mecánica no invasiva domiciliaria asociada a la evaluación clínica y gasométrica de una población heterogénea de pacientes

Author

Álvarez-Sala Walther, José Luis, González Moraleja, Julio, Sánchez Casado, Marcelino, Hidalgo Carvajal, Raúl, Álvarez-Sala Walther, José Luis, González Moraleja, Julio, Sánchez Casado, Marcelino, and Hidalgo Carvajal, Raúl

Abstract

La ventilación mecánica no invasiva (VMNI) se ha constituido en los últimos años en una terapia respiratoria domiciliaria muy utilizada, con claras indicaciones en pacientes con insuficiencia respiratoria crónica. Existe un alto nivel de evidencia científica en pacientes con enfermedades neuromusculares, alteraciones ventilatorias restrictivas portadores de defectos toracógenos y secuelas de tuberculosis, y con un menor nivel de evidencia aunque con un claro consenso, en el síndrome de hipoventilación-obesidad y otros síndromes de hipoventilación alveolar. En los pacientes con EPOC e insuficiencia respiratoria crónica, sin embargo, no se han establecido aún unos criterios claros de indicación de VNI, pero se considera que puede ser beneficiosa en determinados subgrupos de pacientes. Las últimas normativas de la Sociedad Alemana de Neumología del 2010 establecen criterios para la indicación de VMNI en el EPOC estable. Los objetivos fisiológicos de la VMNI son incrementar y mejorar la ventilación alveolar, mediante la corrección de la hipoventilación, y la asistencia parcial a la musculatura respiratoria, logra corregir las alteraciones del intercambio gaseoso y de los centros respiratorios. Los objetivos clínicos dependerían en parte del tipo de paciente, pero en general, pueden considerase básicamente la mejoría en la supervivencia y la calidad de vida de los pacientes. Otros objetivos incluyen la reducción en las agudizaciones, hospitalizaciones y visitas a urgencias, y por ende la reducción del gasto sanitario, lo que le convierte en una terapia coste efectiva. En la evaluación de su eficacia, además de tener en cuenta la sintomatología, variables gasométricas diurnas, funcionales, y la progresión de la enfermedad de base, es necesaria una monitorización periódica de la situación de la ventilación durante la noche, dado que esta terapia se aplica fundamentalmente durante el sueño. No existen unas normativas aceptadas ampliamente sobre la forma de seguimiento de lo, Home non-invasive ventilation (NIV) has become in recent years a widely used, with clear indications in patients with chronic respiratory insufficiency. There is a high level of scientific evidence in patients with neuromuscular diseases, disorders restrictive ventilatory disorders as thoracic cage deformity and sequelae of tuberculosis, and a lower level of evidence but with a clear consensus on the obesity-hypoventilation syndrome and other hypoventilation alveolar syndromes. In patients with COPD and chronic respiratory failure, however, they have not yet established clear criteria for indication of NIV, but is considered to be beneficial in certain subgroups of patients. The latest regulations of the German Society of Pneumology 2010 establishing criteria for indication of NIV in stable COPD. Physiological objectives of NIV are to increase and improve alveolar ventilation, by correcting hypoventilation, partial assistance to the respiratory muscles, and correct alterations in gas exchange and respiratory centers. Clinical objectives would depend in part on the type of patient, but in general can basically based in the improved survival and quality of life of patients. Other objectives include reducing exacerbations, hospitalizations and emergency room visits, and thus reducing health spending, making it a cost effective therapy. In assessing its effectiveness, taking into account the symptoms, daytime blood gases, functional, and progression of the underlying disease, regular monitoring of the situation of ventilation is necessary overnight, since this therapy applies primarily during sleep. There are few widely accepted standards on how to monitor patients with home NIV. In general, we recommend at least a simple method such as nocturnal oximetry to determine the effect of overnight ventilatory support to the patient. As advantages has its simplicity, which carries little interpretation time and be economically more accessible...

Published
2017

15. Evaluación de la oximetría nocturna en el control de la eficacia de la ventilación mecánica no invasiva domiciliaria asociada a la evaluación clínica y gasométrica de una población heterogénea de pacientes

Author

Hidalgo Carvajal, Raúl, Álvarez-Sala Walther, José Luis, González Moraleja, Julio, Sánchez Casado, Marcelino, Hidalgo Carvajal, Raúl, Álvarez-Sala Walther, José Luis, González Moraleja, Julio, and Sánchez Casado, Marcelino

Abstract

La ventilación mecánica no invasiva (VMNI) se ha constituido en los últimos años en una terapia respiratoria domiciliaria muy utilizada, con claras indicaciones en pacientes con insuficiencia respiratoria crónica. Existe un alto nivel de evidencia científica en pacientes con enfermedades neuromusculares, alteraciones ventilatorias restrictivas portadores de defectos toracógenos y secuelas de tuberculosis, y con un menor nivel de evidencia aunque con un claro consenso, en el síndrome de hipoventilación-obesidad y otros síndromes de hipoventilación alveolar. En los pacientes con EPOC e insuficiencia respiratoria crónica, sin embargo, no se han establecido aún unos criterios claros de indicación de VNI, pero se considera que puede ser beneficiosa en determinados subgrupos de pacientes. Las últimas normativas de la Sociedad Alemana de Neumología del 2010 establecen criterios para la indicación de VMNI en el EPOC estable. Los objetivos fisiológicos de la VMNI son incrementar y mejorar la ventilación alveolar, mediante la corrección de la hipoventilación, y la asistencia parcial a la musculatura respiratoria, logra corregir las alteraciones del intercambio gaseoso y de los centros respiratorios. Los objetivos clínicos dependerían en parte del tipo de paciente, pero en general, pueden considerase básicamente la mejoría en la supervivencia y la calidad de vida de los pacientes. Otros objetivos incluyen la reducción en las agudizaciones, hospitalizaciones y visitas a urgencias, y por ende la reducción del gasto sanitario, lo que le convierte en una terapia coste efectiva. En la evaluación de su eficacia, además de tener en cuenta la sintomatología, variables gasométricas diurnas, funcionales, y la progresión de la enfermedad de base, es necesaria una monitorización periódica de la situación de la ventilación durante la noche, dado que esta terapia se aplica fundamentalmente durante el sueño. No existen unas normativas aceptadas ampliamente sobre la forma de seguimiento de lo

Published
2016

20. Autoimmune Diseases and COVID-19 as Risk Factors for Poor Outcomes: Data on 13,940 Hospitalized Patients from the Spanish Nationwide SEMI-COVID-19 Registry.

Author

Ayala Gutiérrez, María del Mar, Rubio-Rivas, Manuel, Romero Gómez, Carlos, Montero Sáez, Abelardo, Pérez de Pedro, Iván, Homs, Narcís, Ayuso García, Blanca, Cuenca Carvajal, Carmen, Arnalich Fernández, Francisco, Beato Pérez, José Luis, Vargas Núñez, Juan Antonio, Letona Giménez, Laura, Suárez Fernández, Carmen, Méndez Bailón, Manuel, Tuñón de Almeida, Carlota, González Moraleja, Julio, de Guzmán García-Monge, Mayte, Helguera Amezua, Cristina, Fidalgo Montero, María del Pilar, and Giner Galvañ, Vicente

Subjects
DISEASE risk factors, HOSPITAL patients, COVID-19, AUTOIMMUNE diseases, LOGISTIC regression analysis, MORTALITY
Abstract

(1) Objectives: To describe the clinical characteristics and clinical course of hospitalized patients with COVID-19 and autoimmune diseases (ADs) compared to the general population. (2) Methods: We used information available in the nationwide Spanish SEMI-COVID-19 Registry, which retrospectively compiles data from the first admission of adult patients with COVID-19. We selected all patients with ADs included in the registry and compared them to the remaining patients. The primary outcome was all-cause mortality during admission, readmission, and subsequent admissions, and secondary outcomes were a composite outcome including the need for intensive care unit (ICU) admission, invasive and non-invasive mechanical ventilation (MV), or death, as well as in-hospital complications. (3) Results: A total of 13,940 patients diagnosed with COVID-19 were included, of which 362 (2.6%) had an AD. Patients with ADs were older, more likely to be female, and had greater comorbidity. On the multivariate logistic regression analysis, which involved the inverse propensity score weighting method, AD as a whole was not associated with an increased risk of any of the outcome variables. Habitual treatment with corticosteroids (CSs), age, Barthel Index score, and comorbidity were associated with poor outcomes. Biological disease-modifying anti-rheumatic drugs (bDMARDs) were associated with a decrease in mortality in patients with AD. (4) Conclusions: The analysis of the SEMI-COVID-19 Registry shows that ADs do not lead to a different prognosis, measured by mortality, complications, or the composite outcome. Considered individually, it seems that some diseases entail a different prognosis than that of the general population. Immunosuppressive/immunoregulatory treatments (IST) prior to admission had variable effects. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

21. Evaluación de la oximetría nocturna en el control de la eficacia de la ventilación mecánica no invasiva domiciliaria asociada a la evaluación clínica y gasométrica de una población heterogénea de pacientes

Author

Hidalgo Carvajal, Raúl, Álvarez-Sala Walther, José Luis, González Moraleja, Julio, and Sánchez Casado, Marcelino

Subjects
Farmacología, Neumología
Abstract

La ventilación mecánica no invasiva (VMNI) se ha constituido en los últimos años en una terapia respiratoria domiciliaria muy utilizada, con claras indicaciones en pacientes con insuficiencia respiratoria crónica. Existe un alto nivel de evidencia científica en pacientes con enfermedades neuromusculares, alteraciones ventilatorias restrictivas portadores de defectos toracógenos y secuelas de tuberculosis, y con un menor nivel de evidencia aunque con un claro consenso, en el síndrome de hipoventilación-obesidad y otros síndromes de hipoventilación alveolar. En los pacientes con EPOC e insuficiencia respiratoria crónica, sin embargo, no se han establecido aún unos criterios claros de indicación de VNI, pero se considera que puede ser beneficiosa en determinados subgrupos de pacientes. Las últimas normativas de la Sociedad Alemana de Neumología del 2010 establecen criterios para la indicación de VMNI en el EPOC estable. Los objetivos fisiológicos de la VMNI son incrementar y mejorar la ventilación alveolar, mediante la corrección de la hipoventilación, y la asistencia parcial a la musculatura respiratoria, logra corregir las alteraciones del intercambio gaseoso y de los centros respiratorios. Los objetivos clínicos dependerían en parte del tipo de paciente, pero en general, pueden considerase básicamente la mejoría en la supervivencia y la calidad de vida de los pacientes. Otros objetivos incluyen la reducción en las agudizaciones, hospitalizaciones y visitas a urgencias, y por ende la reducción del gasto sanitario, lo que le convierte en una terapia coste efectiva. En la evaluación de su eficacia, además de tener en cuenta la sintomatología, variables gasométricas diurnas, funcionales, y la progresión de la enfermedad de base, es necesaria una monitorización periódica de la situación de la ventilación durante la noche, dado que esta terapia se aplica fundamentalmente durante el sueño. No existen unas normativas aceptadas ampliamente sobre la forma de seguimiento de los pacientes con VMNI domiciliaria. En general, se aconseja al menos un método sencillo como es la oximetría nocturna para determinar el efecto del soporte ventilatorio durante la noche en el paciente. Como ventajas cuenta con su simplicidad, precisar poco tiempo de interpretación y ser económicamente más accesible...

22. Inappropriate antibiotic use in the COVID-19 era: Factors associated with inappropriate prescribing and secondary complications. Analysis of the registry SEMI-COVID.

Author

Calderón-Parra J, Muiño-Miguez A, Bendala-Estrada AD, Ramos-Martínez A, Muñez-Rubio E, Fernández Carracedo E, Tejada Montes J, Rubio-Rivas M, Arnalich-Fernandez F, Beato Pérez JL, García Bruñén JM, Del Corral Beamonte E, Pesqueira Fontan PM, Carmona MDM, Fernández-Madera Martínez R, González García A, Salazar Mosteiro C, Tuñón de Almeida C, González Moraleja J, Deodati F, Martín Escalante MD, Asensio Tomás ML, Gómez Huelgas R, Casas Rojo JM, and Millán Núñez-Cortés J

Subjects
Acute Kidney Injury etiology, Aged, Anti-Bacterial Agents administration & dosage, C-Reactive Protein analysis, COVID-19 complications, COVID-19 virology, Comorbidity, Cough etiology, Dyspnea etiology, Female, Fever etiology, Humans, Logistic Models, Male, Middle Aged, Odds Ratio, Registries, Retrospective Studies, Risk Factors, SARS-CoV-2 isolation & purification, Anti-Bacterial Agents adverse effects, COVID-19 pathology, Inappropriate Prescribing adverse effects
Abstract

Background: Most patients with COVID-19 receive antibiotics despite the fact that bacterial co-infections are rare. This can lead to increased complications, including antibacterial resistance. We aim to analyze risk factors for inappropriate antibiotic prescription in these patients and describe possible complications arising from their use., Methods: The SEMI-COVID-19 Registry is a multicenter, retrospective patient cohort. Patients with antibiotic were divided into two groups according to appropriate or inappropriate prescription, depending on whether the patient fulfill any criteria for its use. Comparison was made by means of multilevel logistic regression analysis. Possible complications of antibiotic use were also identified., Results: Out of 13,932 patients, 3047 (21.6%) were prescribed no antibiotics, 6116 (43.9%) were appropriately prescribed antibiotics, and 4769 (34.2%) were inappropriately prescribed antibiotics. The following were independent factors of inappropriate prescription: February-March 2020 admission (OR 1.54, 95%CI 1.18-2.00), age (OR 0.98, 95%CI 0.97-0.99), absence of comorbidity (OR 1.43, 95%CI 1.05-1.94), dry cough (OR 2.51, 95%CI 1.94-3.26), fever (OR 1.33, 95%CI 1.13-1.56), dyspnea (OR 1.31, 95%CI 1.04-1.69), flu-like symptoms (OR 2.70, 95%CI 1.75-4.17), and elevated C-reactive protein levels (OR 1.01 for each mg/L increase, 95% CI 1.00-1.01). Adverse drug reactions were more frequent in patients who received ANTIBIOTIC (4.9% vs 2.7%, p < .001)., Conclusion: The inappropriate use of antibiotics was very frequent in COVID-19 patients and entailed an increased risk of adverse reactions. It is crucial to define criteria for their use in these patients. Knowledge of the factors associated with inappropriate prescribing can be helpful., Competing Interests: The authors have declared that no competing interests exist.

Published
2021
Full Text
View/download PDF

23. Severity Scores in COVID-19 Pneumonia: a Multicenter, Retrospective, Cohort Study.

Author

Artero A, Madrazo M, Fernández-Garcés M, Muiño Miguez A, González García A, Crestelo Vieitez A, García Guijarro E, Fonseca Aizpuru EM, García Gómez M, Areses Manrique M, Martinez Cilleros C, Fidalgo Moreno MDP, Loureiro Amigo J, Gil Sánchez R, Rabadán Pejenaute E, Abella Vázquez L, Cañizares Navarro R, Solís Marquínez MN, Carrasco Sánchez FJ, González Moraleja J, Montero Rivas L, Escobar Sevilla J, Martín Escalante MD, Gómez-Huelgas R, and Ramos-Rincón JM

Subjects
Aged, Cohort Studies, Female, Hospital Mortality, Humans, Intensive Care Units, Male, Organ Dysfunction Scores, Prognosis, Retrospective Studies, SARS-CoV-2, Severity of Illness Index, COVID-19, Communicable Diseases, Community-Acquired Infections diagnosis, Community-Acquired Infections epidemiology, Pneumonia diagnosis, Pneumonia epidemiology
Abstract

Background: Identification of patients on admission to hospital with coronavirus infectious disease 2019 (COVID-19) pneumonia who can develop poor outcomes has not yet been comprehensively assessed., Objective: To compare severity scores used for community-acquired pneumonia to identify high-risk patients with COVID-19 pneumonia., Design: PSI, CURB-65, qSOFA, and MuLBSTA, a new score for viral pneumonia, were calculated on admission to hospital to identify high-risk patients for in-hospital mortality, admission to an intensive care unit (ICU), or use of mechanical ventilation. Area under receiver operating characteristics curve (AUROC), sensitivity, and specificity for each score were determined and AUROC was compared among them., Participants: Patients with COVID-19 pneumonia included in the SEMI-COVID-19 Network., Key Results: We examined 10,238 patients with COVID-19. Mean age of patients was 66.6 years and 57.9% were males. The most common comorbidities were as follows: hypertension (49.2%), diabetes (18.8%), and chronic obstructive pulmonary disease (12.8%). Acute respiratory distress syndrome (34.7%) and acute kidney injury (13.9%) were the most common complications. In-hospital mortality was 20.9%. PSI and CURB-65 showed the highest AUROC (0.835 and 0.825, respectively). qSOFA and MuLBSTA had a lower AUROC (0.728 and 0.715, respectively). qSOFA was the most specific score (specificity 95.7%) albeit its sensitivity was only 26.2%. PSI had the highest sensitivity (84.1%) and a specificity of 72.2%., Conclusions: PSI and CURB-65, specific severity scores for pneumonia, were better than qSOFA and MuLBSTA at predicting mortality in patients with COVID-19 pneumonia. Additionally, qSOFA, the simplest score to perform, was the most specific albeit the least sensitive.

Published
2021
Full Text
View/download PDF

24. Impact of Arterial Stiffness on All-Cause Mortality in Patients Hospitalized With COVID-19 in Spain.

Author

Rodilla E, López-Carmona MD, Cortes X, Cobos-Palacios L, Canales S, Sáez MC, Campos Escudero S, Rubio-Rivas M, Díez Manglano J, Freire Castro SJ, Vázquez Piqueras N, Mateo Sanchis E, Pesqueira Fontan PM, Magallanes Gamboa JO, González García A, Madrid Romero V, Tamargo Chamorro L, González Moraleja J, Villanueva Martínez J, González Noya A, Suárez-Lombraña A, Gracia Gutiérrez A, López Reboiro ML, Ramos Rincón JM, and Gómez Huelgas R

Subjects
Age Factors, Aged, Aged, 80 and over, Blood Pressure, COVID-19 mortality, Cardiovascular Diseases epidemiology, Cause of Death, Comorbidity, Female, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Obesity epidemiology, Odds Ratio, Prognosis, Pulmonary Disease, Chronic Obstructive epidemiology, Registries, Retrospective Studies, Spain epidemiology, COVID-19 epidemiology, Hospital Mortality, Hypertension epidemiology, Pandemics, SARS-CoV-2, Vascular Stiffness
Abstract

Older age and cardiovascular comorbidities are well-known risk factors for all-cause mortality in patients with coronavirus disease 2019 (COVID-19). Hypertension and age are the 2 principal determinants of arterial stiffness (AS). This study aimed to estimate AS in patients with COVID-19 requiring hospitalization and analyze its association with all-cause in-hospital mortality. This observational, retrospective, multicenter cohort study analyzed 12 170 patients admitted to 150 Spanish centers included in the SEMI-COVID-19 Network. We compared AS, defined as pulse pressure ≥60 mm Hg, and clinical characteristics between survivors and nonsurvivors. Mean age was 67.5 (±16.1) years and 42.5% were women. Overall, 2606 (21.4%) subjects died. Admission systolic blood pressure (BP) <120 and ≥140 mm Hg was a predictor of higher all-cause mortality (23.5% and 22.8%, respectively, P <0.001), compared with systolic BP between 120 and 140 mm Hg (18.6%). The 4379 patients with AS (36.0%) were older and had higher systolic and lower diastolic BP. Multivariate analysis showed that AS and systolic BP <120 mm Hg significantly and independently predicted all-cause in-hospital mortality (adjusted odds ratio [ORadj]: 1.27, P =0.0001; ORadj: 1.48, P =0.0001, respectively) after adjusting for sex (males, ORadj: 1.6, P =0.0001), age tertiles (second and third tertiles, ORadj: 2.0 and 4.7, P =0.0001), Charlson Comorbidity Index (second and third tertiles, ORadj: 4.8 and 8.6, P =0.0001), heart failure, and previous and in-hospital antihypertensive treatment. Our data show that AS and admission systolic BP <120 mm Hg had independent prognostic value for all-cause mortality in patients with COVID-19 requiring hospitalization.

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results