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3. Factors associated with death or intensive care unit admission due to pandemic 2009 influenza A (H1N1) infection

Author

Tabarsi Payam, Moradi Ahmadreza, Marjani Majid, Baghaei Parvaneh, Hashemian Seyed, Nadji Seyed, Fakharian Atefeh, Mansouri Davood, Masjedi Mohammadreza, and Velayati Aliakbar

Subjects
Hospital mortality, influenza a virus H1N1 subtype, intensive care units, risk factors, Diseases of the circulatory (Cardiovascular) system, RC666-701, Diseases of the respiratory system, RC705-779
Abstract

Background : In preparation for pandemic HINI or H1N1 influenza (H1N1) it is necessary to identify factors associated with mortality of patients with HINI and hospital admissions to intensive care unit (ICU) of patients diagnosed in 2009 with HINI. Objectives : To describe the clinical and epidemiological features associated with 2009 HIN1 mortality and ICU patient admissions to Masih Daneshvari Teaching Hospital, Iran. Methods : A retrospective cross-sectional study was conducted among patients with mortality and admissions to ICU with confirmed HINI. Demographic, clinical, laboratory, radiological findings, and epidemiologic data were abstracted from medical records, using a standardized datasheet. Results : From June through December 2009, 20 out of the 46 confirmed hospitalized patients with confirmed H1NI were admitted to the ICU and 7 (15%) died. Among various variables, opium inhalation (P = 0.01), having productive cough, hemoptysis, chest pain, confusion, and loss of consciousness were significantly related to ICU admission (P < 0.05). Pleural effusion (P = 0.006), elevated liver enzymes, as well as CPK and LDH level were significantly relevant to ICU admission (P < 0.05). Delayed antiviral treatment was more common among patients who died and the elderly. Discussion : Patients who were admitted to ICU with confirmed H1N1 included the following risk factors: delayed initiation of antiviral therapy, history of opium inhalation and symptoms including; productive cough, hemoptysis, chest pain, confusion, and loss of consciousness. The mortality rate in the study population was high but compares favorably with other recent published studies.

Published
2011

4. Performance of QuantiFERON-TB Gold test compared to tuberculin skin test in detecting latent tuberculosis infection in HIV- positive individuals in Iran

Author

Mardani Masoud, Tabarsi Payam, Mohammadtaheri Zohre, Chitsaz Ehsan, Farokhzad Banafsheh, Hadavand Fatemeh, Gachkar Latif, Nemati Kambiz, and Masjedi Mohammad

Subjects
Diagnosis, Iran, smoking, tobacco, tuberculosis, Diseases of the circulatory (Cardiovascular) system, RC666-701, Diseases of the respiratory system, RC705-779
Abstract

Background: There is limited data about the performance of QuantiFERON-TB Gold (QFT-G) test in detecting latent tuberculosis infection (LTBI) in our region. We intended to determine the performance of QFT-G compared to conventional tuberculin skin test (TST) in detecting LTBI in HIV-positive individuals in Iran. Methods: This study was conducted in a HIV clinic in Tehran, Iran in April 2007. A total of 50 consecutive HIV-positive patients, not currently affected with active tuberculosis (TB), were recruited; 43 (86%) were male. The mean age was 38 ± 7.2 years (21-53). All had history of Bacillus Calmette Guerin (BCG) vaccination. A TST with purified protein derivative (PPD) and whole-blood interferon-gamma release assay (IGRA) in reaction to ESAT-6 and CFP-10 antigens was performed and measured by enzyme-linked immuno-sorbent assay (ELISA). The agreement between TST and QFT-G results were analyzed using Kappa test. Results: A total of 36 (72%) patients had negative and 14 (28%) revealed positive TST. For QFT-G, 20 (40%) tested positive, 19 (38%) tested negative, and the results in 11 cases (22%) were indeterminate. A total of 14 (28%) patients had a CD4 count of < 200. Of the 14, TST + group, 12 had QFT-G +, only one case TST+/QFT-G-, and QFT-G was indeterminate in one TST positive case. Of the 36 patients with negative TST tests, 8 (22%) had positive GFT-G and 10 (28%) yielded indeterminate results. There was no association between a positive TST and receiving highly active anti-retroviral therapy (HAART) or absolute CD4 counts. Similarly, the association between QFT-G results and receiving HAART or CD4 counts was not significant (P = 0.06). Although TST results were not significantly different in patients with CD4 < 200 vs. CD4> 200 (P = 0.295), association between QFT-G results and CD4 cutoff of 200 reached statistical significance (P = 0.027). Agreement Kappa coefficient between TST and QFT-G was 0.54 (Kappa = 0.54, 95% CI = 38.4-69.6, P < 0.001). Conclusion: Detecting LTBI in HIV-positive individuals showed moderate agreement between QFT-G and LTBI in our study. Interestingly, our findings revealed that nontuberculous mycobacteria and prior BCG vaccination have minimal influence on TST results in HIV patients in Iran.

Published
2010

7. The Recent-Transmission of Mycobacterium tuberculosis Strains among Iranian and Afghan Relapse Cases: a DNA-fingerprinting using RFLP and spoligotyping

Author

Zarifi Abolhasan, Bahadori Muslam, Marjane Mojtaba, Baghei Parvaneh, Tabarsi Payam, Khazampour Mehdi, Ahmadi Mojtaba, Mirsaeidi Mehdi, Varahram Mohammad, Masjedi Mohammad, Parissa-Farnia, and Velayati Ali

Subjects
Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background Relapse of tuberculosis (TB) may develop as the result of reactivation of the endogenous primary infection, or as a result of a exogenous reinfection. This survey evaluated the rate of reactivation versus recent transmission among Iranian and Afghan relapse cases. Methods The sputum specimens were digested, examined microscopically for acid-fast bacilli, and inoculated into Löwenstein-Jensen slants by standard procedures. Thereafter, the susceptibility and identification tests were performed on culture positive specimens. Subsequently, the strains that were identified as Mycobacterium tuberculosis (258 isolates) were subjected to IS6110 restriction fragment length polymorphism (RFLP) and spoligotyping. Additional patient's information was collected for further epidemiological analysis. Patients whose isolates had identical genotyping patterns were considered a cluster with recent transmission episode. Results Out of 258 available isolates, 72(28%) had multi-drug resistant (MDR-TB) in ratio and 42 (16.2%) had other resistant. Notably, 38 of MDR-TB cases (52%) were isolated from Afghan patients. By IS6110-RFLP typing method, 65 patients (25%) were clustered in 29 clusters. In cluster cases, the intra-community transmissions between Iranian and Afghan patients were 41%. All MDR-TB patients in clusters had either Haarlem I or Beijing characteristic. The risk factors like sex, family history, close contact, living condition, PPD test result and site of TB infection were not associated with clustering. Although, the MDR-TB strains were more frequent in non-cluster cases (31%) than cluster one(18%) (P < 0.05). Majority of M. tuberculosis strains isolated from non-cluster cases were belong to EAI3 (51; 30%) and CASI(32;18.6%) superfamilies. Conclusion During the studied period, reactivation of a previous infection remain the more probable cause of recurrence. Although, the evidence of intra- community transmission between Iranian and Afghan TB cases, highlighted the impact of afghan immigrants in national tuberculosis control program (NTP) of Iran.

Published
2008
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11. Report on adverse events of COVID-19 vaccines in Iran: a comprehensive national prospective longitudinal analysis.

Author

Jamaati, Hamidreza, Karimi, Saeed, Arshi, Shahnam, Zahraei, Seyed Mohsen, Panahi, Yunes, Nouri, Fatemeh, Hajimoradi, Maryam, Hasanzade, Arman, Mokhtari, Majid, Tayeri, Katayoun, Abedini, Atefeh, Mohamadnia, Abdolreza, Tabarsi, Payam, Sharif-Kashani, Babak, Marjani, Majid, Rashid Farokhi, Farin, Hashemian, Seyed Mohammad Reza, Hosseini-Baharanchi, Fatemeh Sadat, Norizadeh, Mostafa, and Astani, Bahamin

Abstract

Introduction: The global coronavirus disease 2019 (COVID-19) pandemic necessitated urgent vaccine development, raising concerns about potential vaccine adverse events (AEs). Methods: In this prospective cohort study, conducted from February 2021 to December 2022, all individuals across Iran who received any COVID-19 vaccine dose and reported adverse events were investigated. Our aim was to evaluate these AEs based on the vaccine types, patients' age and types of AES, and provide a comprehensive analysis. Results: In Iran, 155 million COVID-19 vaccine doses were administered, with Covilo (Sinopharm) being the most commonly vaccine administered (80.35%). Adverse events predominantly affected individuals aged 40-70 (45%). A total of 86,275 adverse events were recorded, with 92.7% classified as non-serious and 6 299 (7.3%) serious and among the serious cases, 279 were confirmed to be vaccine-related, with 46 resulting in fatalities and 233 requiring hospitalizations. The incidence of serious AEs was 0.41 per 10,000 doses. Serious AEs were more frequently associated with Sputnik V and Vaxzevria (AstraZeneca), with 0.73 and 0.64 cases per 10,000 injections, respectively. Coagulation and thrombosis disorders were the most common serious AEs (29%), followed by neurological (24.7%) and cardiovascular AEs (15.8%). Discussion: In conclusion, the AEs of COVID-19 vaccination were primarily mild and transient, while serious AEs remained exceptionally rare. [ABSTRACT FROM AUTHOR]

Published
2025
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12. 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
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13. Treatment correlates of successful outcomes in pulmonary multidrug-resistant tuberculosis: an individual patient data meta-analysis

Author

treatment–2017, The Collaborative Group for the Meta-Analysis of Individual Patient Data in MDR-TB, Ahmad, Nafees, Ahuja, Shama D, Akkerman, Onno W, Alffenaar, Jan-Willem C, Anderson, Laura F, Baghaei, Parvaneh, Bang, Didi, Barry, Pennan M, Bastos, Mayara L, Behera, Digamber, Benedetti, Andrea, Bisson, Gregory P, Boeree, Martin J, Bonnet, Maryline, Brode, Sarah K, Brust, James CM, Cai, Ying, Caumes, Eric, Cegielski, J Peter, Centis, Rosella, Chan, Pei-Chun, Chan, Edward D, Chang, Kwok-Chiu, Charles, Macarthur, Cirule, Andra, Dalcolmo, Margareth Pretti, D'Ambrosio, Lia, de Vries, Gerard, Dheda, Keertan, Esmail, Aliasgar, Flood, Jennifer, Fox, Gregory J, Fréchet-Jachym, Mathilde, Fregona, Geisa, Gayoso, Regina, Gegia, Medea, Gler, Maria Tarcela, Gu, Sue, Guglielmetti, Lorenzo, Holtz, Timothy H, Hughes, Jennifer, Isaakidis, Petros, Jarlsberg, Leah, Kempker, Russell R, Keshavjee, Salmaan, Khan, Faiz Ahmad, Kipiani, Maia, Koenig, Serena P, Koh, Won-Jung, Kritski, Afranio, Kuksa, Liga, Kvasnovsky, Charlotte L, Kwak, Nakwon, Lan, Zhiyi, Lange, Christoph, Laniado-Laborín, Rafael, Lee, Myungsun, Leimane, Vaira, Leung, Chi-Chiu, Leung, Eric Chung-Ching, Li, Pei Zhi, Lowenthal, Phil, Maciel, Ethel L, Marks, Suzanne M, Mase, Sundari, Mbuagbaw, Lawrence, Migliori, Giovanni B, Milanov, Vladimir, Miller, Ann C, Mitnick, Carole D, Modongo, Chawangwa, Mohr, Erika, Monedero, Ignacio, Nahid, Payam, Ndjeka, Norbert, O'Donnell, Max R, Padayatchi, Nesri, Palmero, Domingo, Pape, Jean William, Podewils, Laura J, Reynolds, Ian, Riekstina, Vija, Robert, Jérôme, Rodriguez, Maria, Seaworth, Barbara, Seung, Kwonjune J, Schnippel, Kathryn, Shim, Tae Sun, Singla, Rupak, Smith, Sarah E, Sotgiu, Giovanni, Sukhbaatar, Ganzaya, Tabarsi, Payam, Tiberi, Simon, Trajman, Anete, Trieu, Lisa, Udwadia, Zarir F, van der Werf, Tjip S, and Veziris, Nicolas

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Tuberculosis, Lung, Antimicrobial Resistance, Prevention, Clinical Trials and Supportive Activities, Rare Diseases, Orphan Drug, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Infection, Good Health and Well Being, Amikacin, Antitubercular Agents, Capreomycin, Carbapenems, Clofazimine, Diarylquinolines, Drug Therapy, Combination, Fluoroquinolones, Humans, Kanamycin, Levofloxacin, Linezolid, Moxifloxacin, Recurrence, Treatment Failure, Tuberculosis, Multidrug-Resistant, Tuberculosis, Pulmonary, Collaborative Group for the Meta-Analysis of Individual Patient Data in MDR-TB treatment–2017, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundTreatment outcomes for multidrug-resistant tuberculosis remain poor. We aimed to estimate the association of treatment success and death with the use of individual drugs, and the optimal number and duration of treatment with those drugs in patients with multidrug-resistant tuberculosis.MethodsIn this individual patient data meta-analysis, we searched MEDLINE, Embase, and the Cochrane Library to identify potentially eligible observational and experimental studies published between Jan 1, 2009, and April 30, 2016. We also searched reference lists from all systematic reviews of treatment of multidrug-resistant tuberculosis published since 2009. To be eligible, studies had to report original results, with end of treatment outcomes (treatment completion [success], failure, or relapse) in cohorts of at least 25 adults (aged >18 years). We used anonymised individual patient data from eligible studies, provided by study investigators, regarding clinical characteristics, treatment, and outcomes. Using propensity score-matched generalised mixed effects logistic, or linear regression, we calculated adjusted odds ratios and adjusted risk differences for success or death during treatment, for specific drugs currently used to treat multidrug-resistant tuberculosis, as well as the number of drugs used and treatment duration.FindingsOf 12 030 patients from 25 countries in 50 studies, 7346 (61%) had treatment success, 1017 (8%) had failure or relapse, and 1729 (14%) died. Compared with failure or relapse, treatment success was positively associated with the use of linezolid (adjusted risk difference 0·15, 95% CI 0·11 to 0·18), levofloxacin (0·15, 0·13 to 0·18), carbapenems (0·14, 0·06 to 0·21), moxifloxacin (0·11, 0·08 to 0·14), bedaquiline (0·10, 0·05 to 0·14), and clofazimine (0·06, 0·01 to 0·10). There was a significant association between reduced mortality and use of linezolid (-0·20, -0·23 to -0·16), levofloxacin (-0·06, -0·09 to -0·04), moxifloxacin (-0·07, -0·10 to -0·04), or bedaquiline (-0·14, -0·19 to -0·10). Compared with regimens without any injectable drug, amikacin provided modest benefits, but kanamycin and capreomycin were associated with worse outcomes. The remaining drugs were associated with slight or no improvements in outcomes. Treatment outcomes were significantly worse for most drugs if they were used despite in-vitro resistance. The optimal number of effective drugs seemed to be five in the initial phase, and four in the continuation phase. In these adjusted analyses, heterogeneity, based on a simulated I2 method, was high for approximately half the estimates for specific drugs, although relatively low for number of drugs and durations analyses.InterpretationAlthough inferences are limited by the observational nature of these data, treatment outcomes were significantly better with use of linezolid, later generation fluoroquinolones, bedaquiline, clofazimine, and carbapenems for treatment of multidrug-resistant tuberculosis. These findings emphasise the need for trials to ascertain the optimal combination and duration of these drugs for treatment of this condition.FundingAmerican Thoracic Society, Canadian Institutes of Health Research, US Centers for Disease Control and Prevention, European Respiratory Society, Infectious Diseases Society of America.

Published
2018

14. Comparison of different treatments for isoniazid-resistant tuberculosis: an individual patient data meta-analysis

Author

Fregonese, Federica, Ahuja, Shama D, Akkerman, Onno W, Arakaki-Sanchez, Denise, Ayakaka, Irene, Baghaei, Parvaneh, Bang, Didi, Bastos, Mayara, Benedetti, Andrea, Bonnet, Maryline, Cattamanchi, Adithya, Cegielski, Peter, Chien, Jung-Yien, Cox, Helen, Dedicoat, Martin, Erkens, Connie, Escalante, Patricio, Falzon, Dennis, Garcia-Prats, Anthony J, Gegia, Medea, Gillespie, Stephen H, Glynn, Judith R, Goldberg, Stefan, Griffith, David, Jacobson, Karen R, Johnston, James C, Jones-López, Edward C, Khan, Awal, Koh, Won-Jung, Kritski, Afranio, Lan, Zhi Yi, Lee, Jae Ho, Li, Pei Zhi, Maciel, Ethel L, Galliez, Rafael Mello, Merle, Corinne SC, Munang, Melinda, Narendran, Gopalan, Nguyen, Viet Nhung, Nunn, Andrew, Ohkado, Akihiro, Park, Jong Sun, Phillips, Patrick PJ, Ponnuraja, Chinnaiyan, Reves, Randall, Romanowski, Kamila, Seung, Kwonjune, Schaaf, H Simon, Skrahina, Alena, van Soolingen, Dick, Tabarsi, Payam, Trajman, Anete, Trieu, Lisa, Banurekha, Velayutham V, Viiklepp, Piret, Wang, Jann-Yuan, Yoshiyama, Takashi, and Menzies, Dick

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Tuberculosis, Rare Diseases, Antimicrobial Resistance, Clinical Trials and Supportive Activities, Lung, Clinical Research, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Infection, Good Health and Well Being, Antibiotics, Antitubercular, Cohort Studies, Drug Administration Schedule, Drug Therapy, Combination, Ethambutol, Fluoroquinolones, Humans, Observational Studies as Topic, Outcome Assessment, Health Care, Pyrazinamide, Randomized Controlled Trials as Topic, Review Literature as Topic, Rifampin, Streptomycin, Tuberculosis, Multidrug-Resistant, Public Health and Health Services, Other Medical and Health Sciences, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundIsoniazid-resistant, rifampicin-susceptible (INH-R) tuberculosis is the most common form of drug resistance, and is associated with failure, relapse, and acquired rifampicin resistance if treated with first-line anti-tuberculosis drugs. The aim of the study was to compare success, mortality, and acquired rifampicin resistance in patients with INH-R pulmonary tuberculosis given different durations of rifampicin, ethambutol, and pyrazinamide (REZ); a fluoroquinolone plus 6 months or more of REZ; and streptomycin plus a core regimen of REZ.MethodsStudies with regimens and outcomes known for individual patients with INH-R tuberculosis were eligible, irrespective of the number of patients if randomised trials, or with at least 20 participants if a cohort study. Studies were identified from two relevant systematic reviews, an updated search of one of the systematic reviews (for papers published between April 1, 2015, and Feb 10, 2016), and personal communications. Individual patient data were obtained from authors of eligible studies. The individual patient data meta-analysis was performed with propensity score matched logistic regression to estimate adjusted odds ratios (aOR) and risk differences of treatment success (cure or treatment completion), death during treatment, and acquired rifampicin resistance. Outcomes were measured across different treatment regimens to assess the effects of: different durations of REZ (≤6 months vs >6 months); addition of a fluoroquinolone to REZ (fluoroquinolone plus 6 months or more of REZ vs 6 months or more of REZ); and addition of streptomycin to REZ (streptomycin plus 6 months of rifampicin and ethambutol and 1-3 months of pyrazinamide vs 6 months or more of REZ). The overall quality of the evidence was assessed using GRADE methodology.FindingsIndividual patient data were requested for 57 cohort studies and 17 randomised trials including 8089 patients with INH-R tuberculosis. We received 33 datasets with 6424 patients, of which 3923 patients in 23 studies received regimens related to the study objectives. Compared with a daily regimen of 6 months of (H)REZ (REZ with or without isoniazid), extending the duration to 8-9 months had similar outcomes; as such, 6 months or more of (H)REZ was used for subsequent comparisons. Addition of a fluoroquinolone to 6 months or more of (H)REZ was associated with significantly greater treatment success (aOR 2·8, 95% CI 1·1-7·3), but no significant effect on mortality (aOR 0·7, 0·4-1·1) or acquired rifampicin resistance (aOR 0·1, 0·0-1·2). Compared with 6 months or more of (H)REZ, the standardised retreatment regimen (2 months of streptomycin, 3 months of pyrazinamide, and 8 months of isoniazid, rifampicin, and ethambutol) was associated with significantly worse treatment success (aOR 0·4, 0·2-0·7). The quality of the evidence was very low for all outcomes and treatment regimens assessed, owing to the observational nature of most of the data, the diverse settings, and the imprecision of estimates.InterpretationIn patients with INH-R tuberculosis, compared with treatment with at least 6 months of daily REZ, addition of a fluoroquinolone was associated with better treatment success, whereas addition of streptomycin was associated with less treatment success; however, the quality of the evidence was very low. These results support the conduct of randomised trials to identify the optimum regimen for this important and common form of drug-resistant tuberculosis.FundingWorld Health Organization and Canadian Institutes of Health Research.

Published
2018

19. Transmission electron microscopy study of suspected primary ciliary dyskinesia patients

Author

Rezaei, Mitra, Soheili, Amirali, Ziai, Seyed Ali, Fakharian, Atefeh, Toreyhi, Hossein, Pourabdollah, Mihan, Ghorbani, Jahangir, Karimi-Galougahi, Mahboobeh, Mahdaviani, Seyed Alireza, Hasanzad, Maryam, Eslaminejad, Alireza, Ghaffaripour, Hossein Ali, Mahmoudian, Saied, Rodafshani, Zahra, Mirenayat, Maryam Sadat, Varahram, Mohammad, Marjani, Majid, Tabarsi, Payam, Mansouri, Davood, Jamaati, Hamid Reza, and Velayati, Ali Akbar

Published
2022
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20. No clinical benefit of high dose corticosteroid administration in patients with COVID-19: A preliminary report of a randomized clinical trial

Author

Jamaati, Hamidreza, Hashemian, Seyed MohammadReza, Farzanegan, Behrooz, Malekmohammad, Majid, Tabarsi, Payam, Marjani, Majid, Moniri, Afshin, Abtahian, Zahra, Haseli, Sara, Mortaz, Esmaeil, Dastan, Alireza, Mohamadnia, Abdolreza, Vahedi, Abdolbaset, Monjazebi, Fatemeh, Yassari, Fatemeh, Fadaeizadeh, Lida, Saffaei, Ali, and Dastan, Farzaneh

Published
2021
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22. SARS-CoV-2 antibody seroprevalence in the general population and high-risk occupational groups across 18 cities in Iran: a population-based cross-sectional study

Author

Poustchi, Hossein, Darvishian, Maryam, Mohammadi, Zahra, Shayanrad, Amaneh, Delavari, Alireza, Bahadorimonfared, Ayad, Eslami, Saeid, Javanmard, Shaghayegh Haghjooy, Shakiba, Ebrahim, Somi, Mohammad Hossein, Emami, Amir, Saki, Nader, Hormati, Ahmad, Ansari-Moghaddam, Alireza, Saeedi, Majid, Ghasemi-Kebria, Fatemeh, Mohebbi, Iraj, Mansour-Ghanaei, Fariborz, Karami, Manoochehr, Sharifi, Hamid, Pourfarzi, Farhad, Veisi, Nasrollah, Ghadimi, Reza, Eghtesad, Sareh, Niavarani, Ahmadreza, Ali Asgari, Ali, Sadeghi, Anahita, Sorouri, Majid, Anushiravani, Amir, Amani, Mohammad, Kaveh, Soudeh, Feizesani, Akbar, Tabarsi, Payam, Keyvani, Hossein, Markarian, Melineh, Shafighian, Fatemeh, Sima, Alireza, Sadjadi, Alireza, Radmard, Amir Reza, Mokdad, Ali H, Sharafkhah, Maryam, and Malekzadeh, Reza

Published
2021
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23. Combination therapy of IFNβ1 with lopinavir–ritonavir, increases oxygenation, survival and discharging of sever COVID-19 infected inpatients

Author

Baghaei, Parvaneh, Dastan, Farzaneh, Marjani, Majid, Moniri, Afshin, Abtahian, Zahra, Ghadimi, Somayeh, Valizadeh, Melika, Heshmatnia, Jalal, Sadat Mirenayat, Maryam, Abedini, Atefeh, Kiani, Arda, Eslaminejad, Alireza, MohammadReza Hashemian, Seyed, Jamaati, Hamidreza, Zali, Alireza, Akbar Velayati, Ali, and Tabarsi, Payam

Published
2021
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24. C1q Levels: A Reliable Biomarker for Differentiating Active and Latent Tuberculosis Infection.

Author

Darougar, Sepideh, Moniri, Afshin, Baghaei, Parvaneh, Mortaz, Esmaeil, Sadr, Makan, Moniri, Arad, Marjani, Majid, and Tabarsi, Payam

Abstract

Background: Tuberculosis (TB) poses a significant public health challenge, particularly because it can exist in an asymptomatic latent phase. Latent TB infection indicates the presence of Mycobacterium tuberculosis without clinical symptoms. Effectively distinguishing between active and latent TB is essential, especially in regions with high TB prevalence, as it may help reduce transmission rates. This study aims to evaluate C1q as a potential biomarker for differentiating active TB from latent forms. Methods: This prospective cross-sectional study was conducted from January 2017 to February 2018, involving HIV-negative adults aged 18 and older attending TB clinics. Participants were categorized based on clinical symptoms, imaging results, and laboratory tests into active or latent TB. Blood samples were collected to assess serum C1q levels, which were then compared between the two groups. Results: Out of 81 patients referred for TB evaluation, 38 were diagnosed with active TB. The overall median C1q level was 6.46 μg/ml (interquartile range 4.66–10). The active TB group exhibited significantly elevated C1q levels (10.21 μg/ml) compared to the latent TB group (6.03 μg/ml, P < 0.001). The area under the receiver operating characteristic curve for C1q in distinguishing active from latent TB was 0.74 (95% confidence interval, 0.63–0.85), with sensitivity varying between 61% and 82% at different threshold values. Conclusions: C1q shows potential as a reliable and easily obtainable biomarker for differentiating active TB from latent infection, demonstrating high sensitivity. These results underscore the need for further research to explore the clinical application of C1q in TB diagnostics. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Clinical efficacy of convalescent plasma for treatment of COVID-19 infections: Results of a multicenter clinical study

Author

Abolghasemi, Hassan, Eshghi, Peyman, Cheraghali, Abdol Majid, Imani Fooladi, Abbas Ali, Bolouki Moghaddam, Farzaneh, Imanizadeh, Sina, Moeini Maleki, Matin, Ranjkesh, Mohammad, Rezapour, Mohammad, Bahramifar, Ali, Einollahi, Behzad, Hosseini, Mohammad Javad, Jafari, Nematollah Joneidi, Nikpouraghdam, Mohamad, Sadri, Nariman, Tazik, Mokhtar, Sali, Shanaz, Okati, Shamsi, Askari, Elham, Tabarsi, Payam, Aslani, Jafar, Sharifipour, Ehsan, Jarahzadeh, Mohammad Hossein, Khodakarim, Nastaran, Salesi, Mahmood, Jafari, Ramezan, and Shahverdi, Samira

Published
2020
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27. Mortality in adults with multidrug-resistant tuberculosis and HIV by antiretroviral therapy and tuberculosis drug use: an individual patient data meta-analysis

Author

Bisson, Gregory P, Bastos, Mayara, Campbell, Jonathon R, Bang, Didi, Brust, James C, Isaakidis, Petros, Lange, Christoph, Menzies, Dick, Migliori, Giovanni B, Pape, Jean W, Palmero, Domingo, Baghaei, Parvaneh, Tabarsi, Payam, Viiklepp, Piret, Vilbrun, Stalz, Walsh, Jonathan, and Marks, Suzanne M

Published
2020
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29. Mendelian Susceptibility to Mycobacterial Disease (MSMD): Clinical and Genetic Features of 32 Iranian Patients

Author

Mahdaviani, Seyed Alireza, Mansouri, Davood, Jamee, Mahnaz, Zaki-Dizaji, Majid, Aghdam, Karim Rahimi, Mortaz, Esmail, Khorasanizadeh, MirHojjat, Eskian, Mahsa, Movahedi, Mahshid, Ghaffaripour, Hosseinali, Baghaie, Nooshin, Hassanzad, Maryam, Chavoshzadeh, Zahra, Mansouri, Mahboubeh, Mesdaghi, Mehrnaz, Ghaini, Mehdi, Noori, Farzad, Eskandarzadeh, Shabnam, Kahkooi, Shahram, Poorabdolah, Mihan, Tabarsi, Payam, Moniri, Afshin, Farnia, Parisa, Karimi, Abdollah, Boisson-Dupuis, Stéphanie, Rezaei, Nima, Marjani, Majid, Casanova, Jean-Laurent, Bustamante, Jacinta, and Velayati, Ali Akbar

Published
2020
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32. Investigating the Seroconversion Patterns of Specific Antibodies Against Various Antigens of SARS-CoV-2 in Hospitalized COVID-19 Patients and Vaccinated Individuals

Author

Matinfar, Shahrzad, primary, Mortezagholi, Sahar, additional, Amiri, Darya, additional, Pashaiefar, Hossein, additional, Eskandarian, Maryam, additional, Ghadimi, Somayeh, additional, Nazari, Mohammad Farzad, additional, Tavakoli, Shole, additional, Valizadeh, Melika, additional, Namaki, Saeed, additional, Tabarsi, Payam, additional, Boutrabi, Mehdi, additional, and Shabani, Mahdi, additional

Published
2024
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33. Another step toward final call on Remdesivir efficacy as a treatment for hospitalized COVID-19 patients: a multicenter open-label trial

Author

Hosseini, Hamed, primary, Sadeghi, Anahita, additional, Tabarsi, Payam, additional, Etemadimanesh, Azin, additional, Darazam, Ilad Alavi, additional, Aghdami, Nasser, additional, Kalantari, Saeed, additional, Momen-Heravi, Mansooreh, additional, hasibi, mehrdad, additional, Hadadi, Azar, additional, Babamahmoodi, Farhang, additional, Hormati, Ahmad, additional, Panahi, Yunes, additional, Khodashahi, Rozita, additional, and Salehi, Mohammadreza, additional

Published
2024
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34. Evaluation of the time-dependent effects of factors influencing the hazard of disease recurrence in tuberculosis patients

Author

Kazempour Dizaji, Mehdi, additional, Varahram, Mohammad, additional, Abedini, Atefe, additional, Roozbahani, Rahim, additional, Zare, Ali, additional, Tabarsi, Payam, additional, Marjani, Majid, additional, Moniri, Afshin, additional, Alizadeh Kolahdozi, Niloufar, additional, Madani, Mohammadreza, additional, and Baghaei Shiva, Parvaneh, additional

Published
2024
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39. Long-standing COVID-19 Disease in Immunocompromised and Immunocompetent Patients; Case Reports and Literature Review.

Author

Mortaz, Esmaeil, Roofchayee, Neda Dalil, Jamaati, Hamidreza, Varahram, Mohammad, Abtahian, Zahra, Mansourafshar, Babak, Rekabi, Mahsa, Adcock, Ian M., and Tabarsi, Payam

Subjects
AIDS, T helper cells, IMMUNOLOGICAL deficiency syndromes, CHRONIC lymphocytic leukemia, VIRAL antigens
Abstract

Patients with immunodeficiency are at higher risk of severe disease and death following SARSCoV-2 infection compared to the general population. Here, we describe humoral and cellular immune responses in 5 patients with immunodeficiency, 2 patients with multiple sclerosis, 1 patient with chronic lymphocytic leukemia (CLL), 1 patient with Good's syndrome, and 1Human Immunodeficiency Virus (HIV) positive with developed Acquired immunodeficiency syndrome (AIDS)- patient. T-cell responses were evaluated using the QuantiFERON SARS-CoV-2 assay following incubation with the SARS-CoV-2 Ag1, Ag2, and Ag3 viral antigens. Immunophenotyping of CD4+ and CD8+ T cells and CD19+ and CD20+ B cells was determined by flow cytometry. All studied immunocompromised patients or those with acquired immune dysregulation patients showed reduced cellular immune responses (release of interferon (IFN)-γ) to SARS-CoV-2 antigens than healthy controls [patients; Ag1, Ag2 and Ag3 and Nil (Median 5-95% percentile) (12 (1-95), 12 (1.5-78), 13.5 (12-95) and 3 (1-98) U/mL)], controls; Ag1, Ag2 and Ag3 and Nil (Median 5-95% percentile) 24.5 (7-89), 65 (31-173), 53.5 (13-71.5) and 3 (1-14) U/mL)]. The frequency of peripheral blood B cells was also reduced in these patients compared to healthy control subjects. T-cell-dependent antibody responses require the activation of B cells by helper T cells. Reduced B cell numbers in immunocompromised patients infected with SARS-CoV-2 indicate the need for these patients to take additional precautions to prevent COVID-19 infection. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Characterization of QuantiFERON Severe Acute Respiratory Syndrome Coronavirus 2 and Anti-severe Acute Respiratory Syndrome Coronavirus 2 Nucleocapsid and S1 Spike Protein Antibodies in Vaccinated and Unvaccinated Coronavirus Disease 2019 Patients.

Author

Mortaz, Esmaeil, Roofchayee, Neda Dalil, Jamaati, Hamidreza, Tabarsi, Payam, Ahmadi, Shahrzad, Shahi, Heshmat, Varahram, Mohammad, Mogadam, Kimia Behzad, Sajadi, Mohammad M., and Adcock, Ian M.

Subjects
SARS-CoV-2, CORONAVIRUS spike protein, COVID-19, COVID-19 pandemic, VIRAL antigens
Abstract

Background: Coronavirus disease 2019 (COVID-19) vaccination has been shown to elicit both humoral (antibody) and cell-mediated (T-cell) immune responses. This study aimed to characterize and compare the QuantiFERON severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and anti-SARS-CoV-2 antibody responses in vaccinated and unvaccinated COVID-19 patients, as well as vaccinated healthy controls (HCs). Methods: A total of 96 COVID-19 patients (68 vaccinated with Sinopharm and 15 with AstraZeneca), 13 unvaccinated COVID-19 patients, and 16 vaccinated HCs (8 Sinopharm and 8 AstraZeneca) were included. Serum antibodies against the SARS-CoV-2 spike (S1) protein and nucleocapsid (N) protein were measured by enzyme-linked immunosorbent assay. T-cell responses were evaluated using the QuantiFERON assay against three SARS-CoV-2 viral antigens (Ag1, Ag2, and Ag3). Results: There were no significant differences in S1 antibody levels between COVID-19 patients (vaccinated or unvaccinated) and HCs. However, 100% of unvaccinated COVID-19 patients had anti-N antibodies, which was significantly higher than the AstraZeneca-vaccinated group. T-cell responses did not differ significantly between vaccinated and unvaccinated patients or between vaccinated patients and HCs. Vaccination with Sinopharm induced higher levels of total N antibodies and greater interferon-gamma release against the viral antigens compared to the other groups. Conclusions: Vaccination, especially with Sinopharm, induced robust humoral (N antibodies) and cellular (T-cell) immune responses in COVID-19 patients. The findings highlight the importance of vaccination in eliciting a comprehensive immune response against SARS-CoV-2, even in the context of prior infection. [ABSTRACT FROM AUTHOR]

Published
2024
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41. Treatment correlates of successful outcomes in pulmonary multidrug-resistant tuberculosis: an individual patient data meta-analysis

Author

Ahmad, Nafees, Ahuja, Shama D, Akkerman, Onno W, Alffenaar, Jan-Willem C, Anderson, Laura F, Baghaei, Parvaneh, Bang, Didi, Barry, Pennan M, Bastos, Mayara L, Behera, Digamber, Benedetti, Andrea, Bisson, Gregory P, Boeree, Martin J, Bonnet, Maryline, Brode, Sarah K, Brust, James C M, Cai, Ying, Caumes, Eric, Cegielski, J Peter, Centis, Rosella, Chan, Pei-Chun, Chan, Edward D, Chang, Kwok-Chiu, Charles, Macarthur, Cirule, Andra, Dalcolmo, Margareth Pretti, D'Ambrosio, Lia, de Vries, Gerard, Dheda, Keertan, Esmail, Aliasgar, Flood, Jennifer, Fox, Gregory J, Fréchet-Jachym, Mathilde, Fregona, Geisa, Gayoso, Regina, Gegia, Medea, Gler, Maria Tarcela, Gu, Sue, Guglielmetti, Lorenzo, Holtz, Timothy H, Hughes, Jennifer, Isaakidis, Petros, Jarlsberg, Leah, Kempker, Russell R, Keshavjee, Salmaan, Khan, Faiz Ahmad, Kipiani, Maia, Koenig, Serena P, Koh, Won-Jung, Kritski, Afranio, Kuksa, Liga, Kvasnovsky, Charlotte L, Kwak, Nakwon, Lan, Zhiyi, Lange, Christoph, Laniado-Laborín, Rafael, Lee, Myungsun, Leimane, Vaira, Leung, Chi-Chiu, Leung, Eric Chung-Ching, Li, Pei Zhi, Lowenthal, Phil, Maciel, Ethel L, Marks, Suzanne M, Mase, Sundari, Mbuagbaw, Lawrence, Migliori, Giovanni B, Milanov, Vladimir, Miller, Ann C, Mitnick, Carole D, Modongo, Chawangwa, Mohr, Erika, Monedero, Ignacio, Nahid, Payam, Ndjeka, Norbert, O'Donnell, Max R, Padayatchi, Nesri, Palmero, Domingo, Pape, Jean William, Podewils, Laura J, Reynolds, Ian, Riekstina, Vija, Robert, Jérôme, Rodriguez, Maria, Seaworth, Barbara, Seung, Kwonjune J, Schnippel, Kathryn, Shim, Tae Sun, Singla, Rupak, Smith, Sarah E, Sotgiu, Giovanni, Sukhbaatar, Ganzaya, Tabarsi, Payam, Tiberi, Simon, Trajman, Anete, Trieu, Lisa, Udwadia, Zarir F, van der Werf, Tjip S, Veziris, Nicolas, Viiklepp, Piret, Vilbrun, Stalz Charles, Walsh, Kathleen, Westenhouse, Janice, Yew, Wing-Wai, Yim, Jae-Joon, Zetola, Nicola M, Zignol, Matteo, and Menzies, Dick

Published
2018
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