Search

Your search keyword '"Nunes, Ceuci"' showing total 40 results
Start Over Author "Nunes, Ceuci"
40 results on '"Nunes, Ceuci"'

1. In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil.

Author

Perazzo, Hugo, Cardoso, Sandra W, Ribeiro, Maria Pia D, Moreira, Rodrigo, Coelho, Lara E, Jalil, Emilia M, Japiassú, André Miguel, Gouvêa, Elias Pimentel, Nunes, Estevão Portela, Andrade, Hugo Boechat, Gouvêa, Luciano Barros, Ferreira, Marcel Treptow, Rodrigues, Pedro Mendes de Azambuja, Moreira, Ronaldo, Geraldo, Kim, Freitas, Lucilene, Pacheco, Vinicius V, João, Esau Custódio, Fuller, Trevon, Rocha, Verônica Diniz, Nunes, Ceuci de Lima Xavier, Souza, Tâmara Newman Lobato, Toscano, Ana Luiza Castro Conde, Schwarzbold, Alexandre Vargas, Noal, Helena Carolina, Pinto, Gustavo de Araujo, Lemos, Paula Macedo de Oliveira, Santos, Carla, Mello, Fernanda Carvalho de Queiroz, Veloso, Valdilea G, Grinsztejn, Beatriz, and RECOVER-SUS Brasil Group

Subjects
RECOVER-SUS Brasil Group, ALT, alanine aminotransferase, AST, aspartate aminotransferase BMI, body mass index, CI, confidence interval, COVID-19, COVID-19, Coronavirus disease 2019, CRP, C-reactive protein, ESR, erythrocyte sedimentation rate, ICU, intensive care unit, INR, international normalized ratio, IQR, interquartile range, In-hospital mortality, NIV, non-invasive ventilation, PD, person-days, PY, person-years, Post-COVID-19, REDCap, research electronic data capture, SAPS-III, simplified acute physiology score III, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, SOFA, sequential organ failure assessment, VIF, variance inflation factor, VOC, variant of concern, WHO, World Health Organization, aHR, adjusted-hazard ratio, Clinical Research, Good Health and Well Being
Abstract

BackgroundWe evaluated in-hospital mortality and outcomes incidence after hospital discharge due to COVID-19 in a Brazilian multicenter cohort.MethodsThis prospective multicenter study (RECOVER-SUS, NCT04807699) included COVID-19 patients hospitalized in public tertiary hospitals in Brazil from June 2020 to March 2021. Clinical assessment and blood samples were performed at hospital admission, with post-hospital discharge remote visits. Hospitalized participants were followed-up until March 31, 2021. The outcomes were in-hospital mortality and incidence of rehospitalization or death after hospital discharge. Kaplan-Meier curves and Cox proportional-hazard models were performed.Findings1589 participants [54.5% male, age=62 (IQR 50-70) years; BMI=28.4 (IQR,24.9-32.9) Kg/m² and 51.9% with diabetes] were included. A total of 429 individuals [27.0% (95%CI,24.8-29.2)] died during hospitalization (median time 14 (IQR,9-24) days). Older age [vs

Published
2022

2. Previous BCG vaccination is associated with less severe clinical progression of COVID-19

Author

Pereira, Susan Martins, Barreto, Florisneide Rodrigues, de Souza, Ramon Andrade, de Souza Teles Santos, Carlos Antonio, Pereira, Marcos, da Paixão, Enny Santos, de Jesus Lima, Carla Cristina Oliveira, da Natividade, Marcio Santos, Lindoso, Ana Angélica Bulcão Portela, Fernandes, Eder Gatti, Junior, Evonio Barros Campelo, Pescarini, Julia Moreira, de Andrade, Kaio Vinicius Freitas, de Souza, Fernanda Mattos, de Britto, Elisangela Alves, Nunes, Ceuci, Ichihara, Maria Yuri, Dalcolmo, Margareth, Trajman, Anete, Barral-Netto, Manoel, Abubakar, Ibrahim, Barreto, Mauricio Lima, de Alencar Ximenes, Ricardo Arraes, and Rodrigues, Laura Cunha

Published
2023
Full Text
View/download PDF

3. 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

5. Aspectos clínicos e terapêuticos da COVID-19

Author

Grassi, Maria Fernanda Rios, primary, Strina, Agostino, additional, Nunes, Ceuci de Lima Xavier, additional, Ramos, Karine de Almeida Araújo, additional, Jesler, Sérgio Fernandes de Oliveira, additional, Castro-de-Araújo, Luis Fernando S., additional, Depallens, Miguel Andino, additional, Silva Neto, Marinho Marques da, additional, Oliveira, Geraldo Gileno de Sá, additional, Gois, Luana Leandro, additional, Barreto, Maurício Lima, additional, and Teixeira, Maria Glória, additional

Published
2020
Full Text
View/download PDF

8. In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil

Author

Perazzo, Hugo, primary, Cardoso, Sandra W., additional, Ribeiro, Maria Pia D., additional, Moreira, Rodrigo, additional, Coelho, Lara E., additional, Jalil, Emilia M., additional, Japiassú, André Miguel, additional, Gouvêa, Elias Pimentel, additional, Nunes, Estevão Portela, additional, Andrade, Hugo Boechat, additional, Gouvêa, Luciano Barros, additional, Ferreira, Marcel Treptow, additional, Rodrigues, Pedro Mendes de Azambuja, additional, Moreira, Ronaldo, additional, Geraldo, Kim, additional, Freitas, Lucilene, additional, Pacheco, Vinicius V., additional, João, Esau Custódio, additional, Fuller, Trevon, additional, Rocha, Verônica Diniz, additional, Nunes, Ceuci de Lima Xavier, additional, Souza, Tâmara Newman Lobato, additional, Toscano, Ana Luiza Castro Conde, additional, Schwarzbold, Alexandre Vargas, additional, Noal, Helena Carolina, additional, Pinto, Gustavo de Araujo, additional, Lemos, Paula Macedo de Oliveira, additional, Santos, Carla, additional, Mello, Fernanda Carvalho de Queiroz, additional, Veloso, Valdilea G., additional, and Grinsztejn, Beatriz, additional

Published
2022
Full Text
View/download PDF

9. Integrative and Multidisciplinary Care for People Living With Human T-Cell Lymphotropic Virus in Bahia, Brazil: 20 Years of Experience

Author

Galvão-Castro, Bernardo, primary, Grassi, Maria Fernanda Rios, additional, Galvão-Castro, Ana Verena, additional, Nunes, Aidê, additional, Galvão – Barroso, Ana Karina, additional, Araújo, Thessika Hialla Almeida, additional, Rathsam-Pinheiro, Regina Helena, additional, Nunes, Ceuci Lima Xavier, additional, Ribeiro, Adriele, additional, Lírio, Monique, additional, Gonçalves, Noilson Lázaro, additional, Rangel, Sônia Lúcia, additional, Dias, Cristiane Maria Carvalho Costa, additional, Ozores, Daniele Piai, additional, Dubois-Mendes, Selena Márcia, additional, Lima, Isabela, additional, Silva, André Luís Pereira, additional, de Jesus, Washington Luiz Abreu, additional, Santos, Fred Luciano Neves, additional, de Oliveira, José Guilherme Reis, additional, de Moraes, Yscela Vanessa Pimentel, additional, de Jesus, Adijeane Oliveira, additional, Daltro, Francisco, additional, Boa-Sorte, Ney, additional, Castro-Lima, Humberto, additional, and Soliani, Maria Luísa Carvalho, additional

Published
2022
Full Text
View/download PDF

10. Vaso‐occlusive crisis in a patient with sickle cell trait and COVID‐19

Author

Freitas, Luiz A. R., primary, Carvalho, Lilian V. S., additional, Fontes, Jonathan L. M., additional, Souza, Cassiana S., additional, Santos, Reginaldo B., additional, Cardoso, Lara T., additional, Figueira, Claudio P., additional, Fonseca Neto, Milton S., additional, Dias, Rafael C. M. F., additional, Solcà, Manuela S., additional, Gonçalves, Marilda S., additional, Yahouedehou, Setondji C. M. A., additional, Nunes, Ceuci L. X., additional, Oliveira, Geraldo G. S., additional, and dos‐Santos, Washington L. C., additional

Published
2021
Full Text
View/download PDF

11. Brazilian Journal of Infectious Diseases

Author

Nunes, Ceuci de Lima Xavier, Andrade, Tarcísio Matos de, Galvão-Castro, Bernardo, Bastos, Francisco Inácio, and Reingold, Arthur

Subjects
female crack cocaine users, Risk behaviors, prevalence of sexually transmitted and blood-borne infections
Abstract

p. 561-566. Submitted by JURANDI DE SOUZA SILVA (jssufba@hotmail.com) on 2012-10-22T13:28:15Z No. of bitstreams: 1 __www.scielo.br_pdf_bjid_v11n6_07.pdf: 150110 bytes, checksum: 7c5e4e5be64b23977c7c24ddee913e17 (MD5) Made available in DSpace on 2012-10-22T13:28:15Z (GMT). No. of bitstreams: 1 __www.scielo.br_pdf_bjid_v11n6_07.pdf: 150110 bytes, checksum: 7c5e4e5be64b23977c7c24ddee913e17 (MD5) Previous issue date: 2007 Crack cocaine use is associated with risky sexual behaviors and sexually transmitted infections (STIs), including HIV. We investigated sociodemographic and behavioral characteristics and infection rates in female crack cocaine users from impoverished communities of Salvador, Bahia, Brazil. A sample of 125 female crack cocaine users was recruited. Overall, the interviewees had low educational level and high rate of unemployment (close to 90%). One-third (37%) reported having traded sex for money or drugs, and 58% reported that they had not used condoms during intercourse in the last 30 days. The prevalence of infections was low: HIV-1.6%; HCV-2.4%; HBV- 0.8%; HTLV I/II-4.0%; and syphilis-4.0%. The combination of dire poverty and high prevalence of risk behaviors turn such populations a preferential target of initiatives aiming to reduce drug-related harm and promote social development. Low infection rates should not be viewed with complacency, but as a window of opportunity to implement prevention initiatives and reduce social marginalization. Salvador

Published
2007
Full Text
View/download PDF

12. Revista da Sociedade Brasileira de Medicina Tropical

Author

Moxoto, Ivanoska, Boa Sorte, Ney Cristian Amaral, Nunes, Ceuci de Lima Xavier, Mota, Augusto César de Andrade, Dumas, Alexandre, Dourado, Maria Inês Costa, and Castro, Bernardo Galvão

Subjects
HTLV-1, Fatores de risco em mulheres
Abstract

p. 37-41 Submitted by Rodrigo Meirelles (rodrigomei@ufba.br) on 2011-06-18T03:43:58Z No. of bitstreams: 1 arrtigo repositorio14.pdf: 102366 bytes, checksum: 1dd9ed08c0a4733d4d8b648616355175 (MD5) Made available in DSpace on 2011-06-18T03:43:58Z (GMT). No. of bitstreams: 1 arrtigo repositorio14.pdf: 102366 bytes, checksum: 1dd9ed08c0a4733d4d8b648616355175 (MD5) Previous issue date: 2007 O objetivo foi descrever as características sociodemográficas, epidemiológicas e comportamentais de mulheres infectadas (64) e não infectadas (66) pelo HTLV-1 em Salvador, Bahia. O diagnóstico sorológico foi obtido por ELISA, WB e Imunofluorescência. Dados epidemiológicos e sociodemográficos foram coletados utilizando questionário padronizado. O Qui-quadrado ou teste de Fisher foi usado para dados categóricos e ANOVA ou Kruskall Wallis (3 grupos) e teste T ou Mann Whitney (2 grupos) para os dados contínuos. As variáveis associadas foram ajustadas por regressão logística. Mais da metade (57,8%) das mulheres soropositivas eram assintomáticas. As sintomáticas (com PET/MAH) tinham menor escolaridade. A comparação entre mulheres soropositivas e soronegativas mostrou que a hemotransfusão, a prática de sexo anal, coitarca antes dos 18 anos e ter mais de 3 parceiros sexuais na vida foram fatores de risco para infecção pelo HTLV-1. A prevenção da transmissão sexual e vertical (aleitamento materno) deve ser reforçada e triagem no pré-natal mandatória.

Published
2007

13. Revista Brasileira de Hematologia e Hemoterapia

Author

Mota, Augusto César de Andrade, Nunes, Ceuci de Lima Xavier, Melo, Adriana, Romeo, Maura, Boa Sorte, Ney Cristian Amaral, Dourado, Maria Inês Costa, Alcântara, Luiz Carlos Júnior, and Castro, Bernardo Galvão

Subjects
doadores de sangue, prevalência, prevalence, blood donors, risk factors, HTLV, fatores de risco
Abstract

Submitted by Santiago Fabio (fabio.ssantiago@hotmail.com) on 2011-10-07T16:35:32Z No. of bitstreams: 1 eeeee.pdf: 47492 bytes, checksum: bb2b8ed4d2bf13b9a47f2499eb1ed3be (MD5) Made available in DSpace on 2011-10-07T16:35:32Z (GMT). No. of bitstreams: 1 eeeee.pdf: 47492 bytes, checksum: bb2b8ed4d2bf13b9a47f2499eb1ed3be (MD5) Previous issue date: 2006 Previous data suggest that Salvador, the capital of the State of Bahia, a northeastern state of Brazil, has the highest prevalence of HTLV infection in blood donors among Brazilian cities. The aim of this case-control study was to identify the determinants of risk for HTLV infection among blood donors in the city of Salvador. Between January 2000 and December 2003, 504 blood donors with positive screening tests for HTLV infection (unconfirmed prevalence of 0.48%) were invited to participate in our study. A total of 154 had performed a Western Blot (WB) test, 139 were of which found to be positive (false positive screening rate 9.9%). Using a standardized questionnaire, a single interviewer obtained information on demographic, socio-economical and educational characteristics, as well as sexual behavior from 91 out of the 139 positive by WB and from 194 HTLV-negative blood donors. Prevalence of HTLV infection was 0.48%. Multivariate analysis revealed women (OR 3.79 [1.61-8.88], p=0.002), low family income* (OR 3.37 [1.17-9.66], p=0.02), self-reported history of sexual transmitted diseases (OR 6.15 [2.04-18.51], p=0.001), 2 or more sexual partners during life (OR 9.29 [2.16-39.94], p=0.0020) and inconsistent use of condoms (OR 4.73 [1.98-11.26], p=0.0004) as risk factors for HTLV infection. In accordance with previous published data, our results point to an association between low socio-economical level, poor education and unsafe sexual behavior with HTLV infection. We observed a lower prevalence of HLTV infection when compared to São José do Rio Preto

Published
2006

15. Arq Neuropsiquiatr

Author

Nunes, Ceuci de Lima Xavier, Cunha, Sérgio, Gomes, Irênio, Lucena, Rita de Cássia Saldanha de, and Moraes, Dilcinéia

Subjects
Tuberculose do sistema nervoso central, Meningite tuberculosa, Prognóstico, Meningoencefalite tuberculosa
Abstract

p.772-777 Submitted by Texeira Ana (atanateixeira@gmail.com) on 2012-05-18T14:59:26Z No. of bitstreams: 1 NUNES, CEUCI.pdf: 27779 bytes, checksum: 32c0a56bc45163310dfea99768023bac (MD5) Made available in DSpace on 2012-05-18T14:59:26Z (GMT). No. of bitstreams: 1 NUNES, CEUCI.pdf: 27779 bytes, checksum: 32c0a56bc45163310dfea99768023bac (MD5) Previous issue date: 1998-12 Este é um estudo de prognóstico em que é avaliada uma coorte retrospectiva de 231 pacientes com diagnóstico de meningoencefalite tuberculosa, com o objetivo de determinar os fatores prognósticos de letalidade. A idade variou de menos de 1 a 68 anos, com 97 pacientes (42%) na faixa etária igual ou inferior a 4 anos. Em 62 casos ocorreu a confirmação diagnóstica por líquor (cultura, baciloscopia, PCR) ou necropsia; nos demais casos o diagnóstico foi baseado em critérios clínicos, epidemiológicos e resposta terapêutica. Na análise multivariada observamos que os fatores prognósticos mais importantes foram: faixa etária menor que 4 anos, ocorrência de convulsão e alterações de consciência consideradas graves. São Paulo

Published
1998
Full Text
View/download PDF

19. Arq Neuropsiquiatr

Author

Nunes, Ceuci de Lima Xavier, Gomes, Irenio, Tavares, Adelci, and Melo, Ailton de Souza

Subjects
Tuberculose do sistema nervoso central, Meningite tuberculosa, Meningoencefalite tuberculosa, Tuberculose extra-pulmonar, Tuberculose, Neurotuberculose
Abstract

p.222-226 Submitted by Texeira Ana (atanateixeira@gmail.com) on 2012-05-10T19:01:52Z No. of bitstreams: 1 Nunes, Ceuci.pdf: 579540 bytes, checksum: d8953faa69dbf4329012a5657eb8f720 (MD5) Made available in DSpace on 2012-05-10T19:01:52Z (GMT). No. of bitstreams: 1 Nunes, Ceuci.pdf: 579540 bytes, checksum: d8953faa69dbf4329012a5657eb8f720 (MD5) Previous issue date: 1996 Meningite tuberculosa se constitui em uma patologia endêmica há vários anos em várias cidades de países em desenvolvimento. Em Salvador foram estudados 62 pacientes com diagnóstico comprovado de meningoencefalite tuberculosa. A idade dos pacientes variou de 2 meses a 50 anos, 59,7% dos casos se encontravam na faixa etária inferior a 4 anos. O tempo de doença antes do diagnóstico variou de horas a 90 dias, com média de 13 dias. Os sinais e sintomas clínicos mais comuns foram febre (86,7%) e rigidez de nuca (81,8%). O exame de líquido cefalorraquidiano mostrou: em média celularidade de 406/mm3(4 a 1509), glucose de 37,3 mg/dL (20 a 70) e proteínas de 203 mg/dL (30 a 500); predominância de linfócitos foi observada na maioria dos casos, mas em 21,3% havia mais que 50% de polimorfonucleares. Salvador

Published
1996
Full Text
View/download PDF

31. Profilaxia da Raiva Humana no Estado do Tocantins, 2013 a 2015

Author

Menezes, Janaína de Sousa, Dias, Juarez Pereira, Nunes, Ceuci de Lima Xavier, Barreto, Florisneide Rodrigues, and Carneiro, Deborah Daniela Madureira Trabuco

Subjects
vigilância epidemiológica, atendimento antirrábico, Profilaxia da raiva, Saúde Coletiva
Abstract

Submitted by Maria Creuza Silva (mariakreuza@yahoo.com.br) on 2018-05-28T13:53:35Z No. of bitstreams: 1 Dissertação MP Janaína S. Menezes 2017.pdf: 1394671 bytes, checksum: f37b71dc52e77ae284fed126de457f52 (MD5) Approved for entry into archive by Maria Creuza Silva (mariakreuza@yahoo.com.br) on 2018-05-28T14:38:27Z (GMT) No. of bitstreams: 1 Dissertação MP Janaína S. Menezes 2017.pdf: 1394671 bytes, checksum: f37b71dc52e77ae284fed126de457f52 (MD5) Made available in DSpace on 2018-05-28T14:38:27Z (GMT). No. of bitstreams: 1 Dissertação MP Janaína S. Menezes 2017.pdf: 1394671 bytes, checksum: f37b71dc52e77ae284fed126de457f52 (MD5) Objetivo: Descrever o perfil epidemiológico dos atendimentos antirrábico humano e avaliar a adequação das indicações da profilaxia humana pós-exposição ao vírus da raiva, por região de saúde, na população do Estado do Tocantins, no período de 2013 a 2015. Método: Estudo descritivo utilizando dados secundários da Ficha de Atendimento Antirrábico Humano do Sistema de Informação de Agravos de Notificação (SINAN), preenchida pelos profissionais de saúde. Resultados: Foram notificados 20.268 atendimentos antirrábico pós-exposição, a maioria do sexo masculino (57,8%), da faixa etária entre 20 e 39 anos (25,1%) e residentes na zona urbana (87,2%); cães e gatos foram responsáveis por 95,3% das agressões, estando sadios no momento da agressão em 66,6% dos casos, provocando ferimentos superficiais (54,6%) e únicos (63,7%), principalmente nos membros inferiores (38,2%) e mãos/pés (32,6%). A indicação de observação do animal associada à vacinação foi prescrita em 59,3% dos casos. Além disso, 78,9% das agressões foram classificadas como graves, apenas 45,1% das condutas foram consideradas adequadas e em 77% dos casos em que foi indicado o soro antirrábico a quantidade administrada foi suficiente. Os resultados encontrados evidenciam falhas no Programa Estadual de Profilaxia da Raiva e alertam para a necessidade na adequação das indicações das condutas de atendimento antirrábico humano pós-exposição, bem como no acompanhamento desses indivíduos.

Published
2017

32. Fatores associados à não-aceitabilidade da PrEP entre travestis e mulheres transexuais na região nordeste do Brasil

Author

Gomes, Fabiane Soares, Dourado, Maria Inês Costa, Silva, Carlos Alberto Lima da, Aquino, Estela Maria Motta Lima Leão de, Nunes, Ceuci de Lima Xavier, and Silva, Luís Augusto Vasconcelos da

Subjects
Aceitabilidade, HIV, Pessoas transgênero, Prevenção, Saúde Coletiva, Infecções por HIV
Abstract

Submitted by Maria Creuza Silva (mariakreuza@yahoo.com.br) on 2018-06-28T13:28:52Z No. of bitstreams: 1 Diss. Fabiane Soares. 2017.pdf: 1804101 bytes, checksum: 8e1b21fcb9b0867a59f44c59865ec29a (MD5) Approved for entry into archive by Maria Creuza Silva (mariakreuza@yahoo.com.br) on 2018-06-29T18:55:11Z (GMT) No. of bitstreams: 1 Diss. Fabiane Soares. 2017.pdf: 1804101 bytes, checksum: 8e1b21fcb9b0867a59f44c59865ec29a (MD5) Approved for entry into archive by Delba Rosa (delba@ufba.br) on 2018-07-09T15:01:45Z (GMT) No. of bitstreams: 1 Diss. Fabiane Soares. 2017.pdf: 1804101 bytes, checksum: 8e1b21fcb9b0867a59f44c59865ec29a (MD5) Made available in DSpace on 2018-07-09T15:01:45Z (GMT). No. of bitstreams: 1 Diss. Fabiane Soares. 2017.pdf: 1804101 bytes, checksum: 8e1b21fcb9b0867a59f44c59865ec29a (MD5) Introdução: Novos métodos de prevenção compõem o leque de possibilidades de prevenção combinada ao HIV, sendo a mais recente a Profilaxia Pré-exposição ao HIV (PrEP), embora o acesso à PrEP nos países em desenvolvimento continua a ser muito limitado. O Brasil tem um dos maiores e mais antigos programas de tratamento do HIV no mundo e em breve integrará a PrEP no Sistema Único de Saúde. Este estudo visa investigar fatores associados à não-aceitabilidade de usar a PrEP entre travestis e mulheres transexuais residentes em Salvador/Bahia. Metodologia: Estudo transversal, no qual foram recrutadas 127 TrMT via a técnica amostral Respondent Driven Sampling (RDS). A análise de classes latentes (LCA) foi utilizada para identificar aquelas dispostas a usar PrEP a partir das seguintes variáveis: 1-vontade de usar PrEP; 2-disponibilidade para usar a PrEP, se disponível no SUS; 3-vontade de usar PrEP mesmo que tenha que pagar; 4-interesse em usar PrEP mesmo que não seja 100% eficaz; 5-ter menos medo de contrair HIV se usar PrEP; 6-vontade de tomar um comprimido por dia; 7-Conhecimento PrEP. A entropia foi 0,99 indicando boa distinção de classes latentes. AIC e BIC foram utilizados para a seleção do modelo LCA. Resultados: Apenas 18,4% das mulheres conheciam a PrEP. No entanto, ao tomar consciência, a disposição de usar a PrEP foi elevada. Duas classes latentes foram identificadas: Classe 1 – alta aceitabilidade da PrEP (91,3%); Classe 2 – baixa aceitabilidade da PrEP (8,7%). A maioria das participantes identificou a PrEP como uma importante medida de prevenção do HIV para as travestis e mulheres transexuais. Os fatores sociocomportamentais associados a Classe 2 foram: não ser negra, ter renda mensal superior a R$ 900,00 e o não uso regular de preservativos nas relações sexuais. Conclusão: A aceitabilidade da PrEP foi alta, 91% das participantes indicaram interesse no método no nordeste do Brasil. Embora o acesso à PrEP ainda seja limitado, a disposição a usar provavelmente seja elevada quando for disponibilizada no SUS, mesmo entre aquelas que usam preservativos regularmente. No entanto, é importante levar em conta fatores sociocomportamentais e discutir a condição de vulnerabilidade ao HIV.

Published
2017

33. Caraterísticas clínicas e epidemiológicas de crianças atendidas com febre em um serviço de emergência com e sem sepse

Author

Santana, Mariana Costa de, Carvalho, Cristiana M. Nascimento, Safadi, Marco Aurélio P., Robazzi, Teresa Cristina Vicente, and Nunes, Ceuci de Lima Xavier

Subjects
Ciências da Saúde, Desfecho, Crianças, Fator de Risco, Sepse, Serviço de Emergência
Abstract

Submitted by Hiolanda Rêgo (hiolandarego@gmail.com) on 2017-03-06T14:26:10Z No. of bitstreams: 1 Dissertação_Med_ Mariana Costa de Santana.pdf: 2920664 bytes, checksum: 25f8658a3ca18733bac8d899c6a2118d (MD5) Approved for entry into archive by Delba Rosa (delba@ufba.br) on 2017-06-28T11:39:08Z (GMT) No. of bitstreams: 1 Dissertação_Med_ Mariana Costa de Santana.pdf: 2920664 bytes, checksum: 25f8658a3ca18733bac8d899c6a2118d (MD5) Made available in DSpace on 2017-06-28T11:39:08Z (GMT). No. of bitstreams: 1 Dissertação_Med_ Mariana Costa de Santana.pdf: 2920664 bytes, checksum: 25f8658a3ca18733bac8d899c6a2118d (MD5) Introdução: sepse é definida como síndrome da resposta inflamatória sistêmica associada à infecção, sendo a maior causa de óbito na faixa etária pediátrica. Febre é o principal sintoma relacionado à infecção e a queixa mais comumente relatada em emergências pediátricas. Estudos epidemiológicos sobre sepse pediátrica são escassos em países em desenvolvimento, embora importantes para a compreensão da realidade desta doença nessas regiões. Objetivo: descrever e comparar a frequência de agentes etiológicos e topografia dos focos iniciais de infecção em pacientes com e sem sepse, identificar fatores de risco e avaliar desfechos. Metodologia: estudo de coorte retrospectiva. Prontuários médicos de pacientes admitidos com febre no Serviço de Emergência Pediátrica da Universidade Federal da Bahia foram analisados, usando uma base de dados informatizada. Dados clínicos e demográficos da admissão e evolução foram registrados em formulários padronizados, sem conhecimento da classificação de ter ou não sepse, dada pelos médicos assistentes. Um projeto paralelo de investigação de pneumonias forneceu testes laboratoriais para investigação de etiologia de infecções respiratórias. Os critérios de Goldstein e cols. de 2005 foram usados para classificar os pacientes em “com” e “sem” sepse. Resultados: no total, dos 254 pacientes elegíveis, 120 (47%) tinham e 134 (53%) não tinham sepse. A mediana (IQR) de idade foi 1,7 anos (0,8-3,9 [mínimo19 dias, máximo 12,6 anos]) e 153 (60%) eram meninos. Pacientes com sepse eram mais velhos (2,8 [1,1-1,3] vs. 1,3 [0.6-2.9] anos; p

Published
2016

34. Perfil de citocinas em crianças com pneumonia adquirida na comunidade

Author

Vasconcellos, Ângela Gomes de, Carvalho, Cristiana Maria Costa Nascimento de, Araujo, Maria Ilma Andrade Santos, Robazzi, Teresa Cristina Martins Vicente, Nunes, Ceuci de Lima Xavier, Sampaio, Magda Carneiro, and Rodrigues, Cristina de Oliveira

Subjects
Ciências da Saúde, Streptococcus pneumoniae, Inflamação pulmonar, Citocinas, Pneumonia, Imunidade inata
Abstract

Submitted by Hiolanda Rêgo (hiolandarego@gmail.com) on 2016-02-23T13:49:32Z No. of bitstreams: 1 tese-doutorado- Ângela Gomes de Vasconcellos.pdf: 1002243 bytes, checksum: e012a52c53b7825644e52816bc846571 (MD5) Approved for entry into archive by Delba Rosa (delba@ufba.br) on 2016-02-25T14:08:13Z (GMT) No. of bitstreams: 1 tese-doutorado- Ângela Gomes de Vasconcellos.pdf: 1002243 bytes, checksum: e012a52c53b7825644e52816bc846571 (MD5) Made available in DSpace on 2016-02-25T14:08:14Z (GMT). No. of bitstreams: 1 tese-doutorado- Ângela Gomes de Vasconcellos.pdf: 1002243 bytes, checksum: e012a52c53b7825644e52816bc846571 (MD5) CAPES;FAPESB PERFIL DE CITOCINAS E QUIMIOCINAS EM CRIANÇAS HOSPITALIZADAS COM PNEUMONIA ADQUIRIDA NA COMUNIDADE. Introdução: Pneumonia adquirida na comunidade (PAC) é a principal causa de óbito em crianças abaixo de 5 anos em todo o mundo. No entanto, o diagnóstico etiológico da PAC permanece um desafio em pediatria, além de existir uma escassez de estudos sobre a resposta inflamatória nesta doença. Objetivo: Descrever o perfil de citocinas e quimiocinas detectadas na admissão de crianças com PAC e avaliar se existe associação entre os níveis de citocinas e pneumonia pneumocócica em crianças. Metodologia: Estudo prospectivo realizado no pronto atendimento do Hospital da Universidade Federal da Bahia, em Salvador, Brasil. Crianças hospitalizadas com PAC com idade

Published
2015

35. Vírus Linfotrópico de Células T Humana tipo 1 (HTLV-1) e sua associação com Ceratoconjuntivite seca no Município de Salvador/ Bahia

Author

Sena, Cristina de Castro Lima Vargens, Castro Filho, Bernardo Galvão, Grassi, Maria Fernanda Rios, Almeida, Dayse Cury de, Nunes, Ceuci de Lima Xavier, Marback, Eduardo Ferrari, Magalhães, Fernanda Pedreira, and Bastos, Claudilson José de Carvalho

Subjects
ceratoconjuntivite seca, carga proviral, HTLV, testes diagnósticos
Abstract

EBMSP – Escola Bahiana de Medicina e Saúde Pública FBDC – Fundação Bahiana para o Desenvolvimento das Ciências FIOCRUZ – Bahia – Fundação Oswaldo Cruz – Centro de Pesquisa Gonçalo Muniz IBOPC – Instituto Brasileiro de Oftalmologia e Prevenção à Cegueira FAPESB – Fundação de Amparo a Pesquisa do Estado da Bahia CNPq – Conselho Nacional de Desenvolvimento Científico e Tecnológico Introdução: O Vírus Linfotrópico para células T tipo 1 (HTLV-1) é endêmico em várias regiões do mundo, incluindo o Brasil. Esse vírus está relacionado a algumas doenças oftalmológicas, como a uveíte associada ao HTLV-1 (UAH) e a ceratoconjuntivite seca (CCS). Doença de caráter multifatorial, a CCS causa instabilidade do filme lacrimal, com potencial dano a superfície ocular. Essa tese abordará a relação entre ceratoconjuntivite seca (CCS) e sua associação com o (HTLV-1) e será apresentada na forma de artigos científicos. Objetivos: Essa tese tem por objetivo identificar a prevalência de CCS nos pacientes com HTLV-1, associar CCS com a carga proviral e avaliar o desempenho dos testes para diagnóstico de CCS realizados no centro de HTLV-1. Métodos: Em estudo de corte-transversal, foram avaliadas três amostras de pacientes com HTLV-1 em momentos diferentes. Todos os pacientes foram submetidos a um exame oftalmológico que incluiu a avaliação do filme lacrimal através do TBUT, teste de Schirmer 1 e coloração com Rosa Bengala. Foi realizada medida da carga proviral (CPV) através de PCR e avaliada sintomatologia de CCS através do questionário OSDI. Resultados: As prevalências de CCS nas três amostras estudadas variaram de 36,4 a 52,1%. A média da CPV nos pacientes com CCS apresentou significância estatística (p = 0,001) em relação à média dos pacientes sem CCS e foi demonstrado que pacientes com CPV maior que 100.000 cópias/106 PBMC têm um risco significativamente maior de desenvolver CCS. OSDI e TBUT realizados juntos mostraram uma sensibilidade de 99,5% e o teste de Schirmer 1 uma especificidade de 100%. Conclusões: Ao final desse estudo, foi encontrada uma elevada prevalência de CCS em pacientes portadores de HTLV-1, além de uma associação positiva com a presença de Paraparesia Espástica Tropical – Mielopatia Associada ao HTLV (HAM-TSP). Além disso, a carga proviral do HTLV-1 foi maior em pacientes com CCS, podendo representar um marcador biológico dessa doença. Foi possível concluir também que, para o diagnóstico acurado de CCS, é necessário o emprego de mais de um teste positivo e há necessidade de acrescentar um questionário de sintomatologia à rotina dos pacientes.

Published
2015

36. Recidiva da Hanseníase no estado da Bahia

Author

Silva, Fabíola Leal, Dourado, Maria Inês Costa, Andrade, Alcina Marta de Souza, and Nunes, Ceuci de Lima Xavier

Subjects
Hanseníase, Leprosy, Relapse, Multidrug Therapy, Poliquimioterapia, Saúde Coletiva, Recidiva
Abstract

Submitted by Maria Creuza Silva (mariakreuza@yahoo.com.br) on 2015-04-06T18:27:12Z No. of bitstreams: 1 Diss MP Fabiola Leal. 2014.pdf: 656656 bytes, checksum: c93965bc227e7f040c0864ea593f13a3 (MD5) Approved for entry into archive by Maria Creuza Silva (mariakreuza@yahoo.com.br) on 2015-04-15T14:34:34Z (GMT) No. of bitstreams: 1 Diss MP Fabiola Leal. 2014.pdf: 656656 bytes, checksum: c93965bc227e7f040c0864ea593f13a3 (MD5) Made available in DSpace on 2015-04-15T14:34:34Z (GMT). No. of bitstreams: 1 Diss MP Fabiola Leal. 2014.pdf: 656656 bytes, checksum: c93965bc227e7f040c0864ea593f13a3 (MD5) A hanseníase persiste como importante problema de saúde pública para o Brasil. Uma das estratégias para controle da endemia da hanseníase é o tratamento adequado dos pacientes com o regime de poliquimioterapia recomendado pela Organização Mundial de Saúde (OMS). Portanto, o monitoramento dos casos de recidiva assume importância por se constituir como o melhor método para medir a eficácia do tratamento. Segundo dados da OMS, o Brasil é o país com maior registro de casos de recidiva no mundo; são poucos os estudos nacionais sobre o tema e nenhum no estado da Bahia. Objetivo: Descrever o perfil clínico e epidemiológico de todas as entradas no Sistema Nacional de Agravos de Notificação (SINAN/BA) por recidiva diagnosticadas no estado da Bahia e na unidade de referência estadual para tratamento de pacientes com hanseníase. Método: Estudo transversal de todas as entradas no sistema de informação por recidiva em hanseníase diagnosticada pelas unidades de saúde do estado da Bahia e pela unidade de referência estadual , no período de 2001 a 2012. As informações foram obtidas do SINAN/BA fornecidas pelo setor de vigilância epidemiológica da Secretaria Estadual de Saúde (SESAB). Resultados: Foram registrados 1329 entradas por recidiva na Bahia no período de 2001 a 2012, sendo 90 na unidade de referência estadual. Do total de casos, a média de idade foi de 43,3 anos e 59,2% eram do sexo masculino, 70,9% tinha a forma dimorfa ou virchoviana e 77% foram classificados como multibacilares. Entretando apenas 20,6% dos pacientes realizaram baciloscopia e somente 21,4% tinham informação sobre comprometimento neural. Conclusão: O percentual de recidivas no estado da Bahia é influenciado pelos casos notificados em municípios sem centros de referência. È essencial melhorar a precisão diagnóstica nos serviços de saúde do estado, inclusive da unidade de referência estadual, e facilitar o acesso dos pacientes com suspeita de recidiva aos serviços especializados.

Published
2014

37. In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil.

Author

Perazzo H, Cardoso SW, Ribeiro MPD, Moreira R, Coelho LE, Jalil EM, Japiassú AM, Gouvêa EP, Nunes EP, Andrade HB, Gouvêa LB, Ferreira MT, Rodrigues PMA, Moreira R, Geraldo K, Freitas L, Pacheco VV, João EC, Fuller T, Rocha VD, Nunes CLX, Souza TNL, Toscano ALCC, Schwarzbold AV, Noal HC, Pinto GA, Lemos PMO, Santos C, Mello FCQ, Veloso VG, and Grinsztejn B

Abstract

Background: We evaluated in-hospital mortality and outcomes incidence after hospital discharge due to COVID-19 in a Brazilian multicenter cohort., Methods: This prospective multicenter study (RECOVER-SUS, NCT04807699) included COVID-19 patients hospitalized in public tertiary hospitals in Brazil from June 2020 to March 2021. Clinical assessment and blood samples were performed at hospital admission, with post-hospital discharge remote visits. Hospitalized participants were followed-up until March 31, 2021. The outcomes were in-hospital mortality and incidence of rehospitalization or death after hospital discharge. Kaplan-Meier curves and Cox proportional-hazard models were performed., Findings: 1589 participants [54.5% male, age=62 (IQR 50-70) years; BMI=28.4 (IQR,24.9-32.9) Kg/m² and 51.9% with diabetes] were included. A total of 429 individuals [27.0% (95%CI,24.8-29.2)] died during hospitalization (median time 14 (IQR,9-24) days). Older age [vs<40 years; age=60-69 years-aHR=1.89 (95%CI,1.08-3.32); age=70-79 years-aHR=2.52 (95%CI,1.42-4.45); age≥80-aHR=2.90 (95%CI 1.54-5.47)]; noninvasive or mechanical ventilation at admission [vs facial-mask or none; aHR=1.69 (95%CI 1.30-2.19)]; SAPS-III score≥57 [vs<57; aHR=1.47 (95%CI 1.13-1.92)] and SOFA score≥10 [vs <10; aHR=1.51 (95%CI 1.08-2.10)] were independently associated with in-hospital mortality. A total of 65 individuals [6.7% (95%CI 5.3-8.4)] had a rehospitalization or death [rate=323 (95%CI 250-417) per 1000 person-years] in a median time of 52 (range 1-280) days post-hospital discharge. Age ≥ 60 years [vs <60, aHR=2.13 (95%CI 1.15-3.94)] and SAPS-III ≥57 at admission [vs <57, aHR=2.37 (95%CI 1.22-4.59)] were independently associated with rehospitalization or death after hospital discharge., Interpretation: High in-hospital mortality rates due to COVID-19 were observed and elderly people remained at high risk of rehospitalization and death after hospital discharge., Funding: Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Programa INOVA-FIOCRUZ., Competing Interests: Estevão Portela Nunes has received payment for lectures by Gilead; Alexandre Vargas Schwarzbold has received grants from AZ, MSD and Clover Biopharm; Fernanda Carvalho de Queiroz Mello has been acting as the President of the Society of Pneumonology and Tisiology fo the State of Rio de Janeiro (no payment) and Beatriz Grinsztejn has been participating in Advisory Board of Merck; GSK/ViiV and Janssen; The other authors declare no conflicts of interest., (© 2022 The Author(s).)

Published
2022
Full Text
View/download PDF

38. Assessing risk behaviors and prevalence of sexually transmitted and blood-borne infections among female crack cocaine users inSalvador--Bahia, Brazil.

Author

Nunes CL, Andrade T, Galvão-Castro B, Bastos FI, and Reingold A

Subjects
Adult, Brazil epidemiology, Cocaine-Related Disorders diagnosis, Female, Humans, Interviews as Topic, Male, Prevalence, Risk Factors, Sexually Transmitted Diseases diagnosis, Socioeconomic Factors, Cocaine-Related Disorders epidemiology, Crack Cocaine adverse effects, Sexual Behavior statistics & numerical data, Sexually Transmitted Diseases epidemiology
Abstract

Crack cocaine use is associated with risky sexual behaviors and sexually transmitted infections (STIs), including HIV. We investigated sociodemographic and behavioral characteristics and infection rates in female crack cocaine users from impoverished communities of Salvador, Bahia, Brazil. A sample of 125 female crack cocaine users was recruited. Overall, the interviewees had low educational level and high rate of unemployment (close to 90%). One-third (37%) reported having traded sex for money or drugs, and 58% reported that they had not used condoms during intercourse in the last 30 days. The prevalence of infections was low: HIV-1.6%; HCV-2.4%; HBV- 0.8%; HTLV I/II-4.0%; and syphilis-4.0%. The combination of dire poverty and high prevalence of risk behaviors turn such populations a preferential target of initiatives aiming to reduce drug-related harm and promote social development. Low infection rates should not be viewed with complacency, but as a window of opportunity to implement prevention initiatives and reduce social marginalization.

Published
2007
Full Text
View/download PDF

39. [Sociodemographic, epidemiological and behavioral profile of women infected with HTLV-1 in Salvador, Bahia, an endemic area for HTLV].

Author

Moxoto I, Boa-Sorte N, Nunes C, Mota A, Dumas A, Dourado I, and Galvão-Castro B

Subjects
Blotting, Western, Brazil epidemiology, Enzyme-Linked Immunosorbent Assay, Epidemiologic Methods, Female, Fluorescent Antibody Technique, Indirect, HTLV-I Infections diagnosis, Humans, Middle Aged, Socioeconomic Factors, Endemic Diseases, HTLV-I Infections epidemiology, Sexual Behavior statistics & numerical data
Abstract

The objective was to describe the sociodemographic, epidemiological and behavioral characteristics of women infected with HTLV-1 (64) and uninfected women (66) in Salvador, Bahia. The serological diagnosis was obtained via Elisa, Western Blot and Immunofluorescence. Epidemiological and sociodemographic data were collected using a standardized questionnaire. The chi-squared or Fisher test was used for categorical data and ANOVA or Kruskal-Wallis (3 groups) and the T-test or Mann-Whitney (2 groups) were used for continuous data. Associated variables were adjusted using logistic regression. More than half (57.8%) of the seropositive women were asymptomatic. The symptomatic women (with HAM/TSP) had fewer years of education. Comparison between seronegative and seropositive women showed that blood transfusion, anal sex practices, first sexual intercourse before the age of 18 years and three or more sexual partners over women's lifetime were risk factors for HTLV-1 infection. The prevention of both sexual transmission and vertical transmission (breastfeeding) should be reinforced. Prenatal screening is of paramount importance.

Published
2007
Full Text
View/download PDF

40. [Clinical-epidemiological characteristics of a group of HIV/AIDS infected women in Salvador-Bahia].

Author

Nunes Cde L, Gonçalves LA, Silva PT, and Bina JC

Subjects
Acquired Immunodeficiency Syndrome diagnosis, Acquired Immunodeficiency Syndrome transmission, Adult, Brazil epidemiology, CD4 Lymphocyte Count, Educational Status, Female, HIV Infections diagnosis, HIV Infections transmission, Humans, Prevalence, Risk Factors, Sexual Partners, Socioeconomic Factors, Viral Load, Acquired Immunodeficiency Syndrome epidemiology, HIV Infections epidemiology, Sexual Behavior
Abstract

The increasing number of HIV/AIDS infected women is one of the main characteristics of the AIDS epidemic, besides the wide expansion of the disease among the poor. This study focused on a group of 82 women with AIDS from Salvador-Bahia. The mean age was 32 +/- 7.2 years, 75% had children, 82.5% were jobless, and 77.8% were illiterate or only had basic education. The number of sexual partners was five or fewer in 71% of cases and 25% had only one sexual partner. Forty-six (55.4%) women reported up to 77 episodes of opportunist infections. The majority of the patients were from the lower classes, with no good education, a low income and few sexual partners. The main via of transmission was heterosexual, and many of the women were infected by their steady partner/husband.

Published
2004
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results