Global burden of bacterial antimicrobial resistance in 2019 : a systematic analysis

Autor: Christopher J L Murray, Kevin Shunji Ikuta, Fablina Sharara, Lucien Swetschinski, Gisela Robles Aguilar, Authia Gray, Chieh Han, Catherine Bisignano, Puja Rao, Eve Wool, Sarah C Johnson, Annie J Browne, Michael Give Chipeta, Frederick Fell, Sean Hackett, Georgina Haines-Woodhouse, Bahar H Kashef Hamadani, Emmanuelle A P Kumaran, Barney McManigal, Sureeruk Achalapong, Ramesh Agarwal, Samuel Akech, Samuel Albertson, John Amuasi, Jason Andrews, Aleskandr Aravkin, Elizabeth Ashley, François-Xavier Babin, Freddie Bailey, Stephen Baker, Buddha Basnyat, Adrie Bekker, Rose Bender, James A Berkley, Adhisivam Bethou, Julia Bielicki, Suppawat Boonkasidecha, James Bukosia, Cristina Carvalheiro, Carlos Castañeda-Orjuela, Vilada Chansamouth, Suman Chaurasia, Sara Chiurchiù, Fazle Chowdhury, Rafai Clotaire Donatien, Aislinn J Cook, Ben Cooper, Tim R Cressey, Elia Criollo-Mora, Matthew Cunningham, Saffiatou Darboe, Nicholas P J Day, Maia De Luca, Klara Dokova, Angela Dramowski, Susanna J Dunachie, Thuy Duong Bich, Tim Eckmanns, Daniel Eibach, Amir Emami, Nicholas Feasey, Natasha Fisher-Pearson, Karen Forrest, Coralith Garcia, Denise Garrett, Petra Gastmeier, Ababi Zergaw Giref, Rachel Claire Greer, Vikas Gupta, Sebastian Haller, Andrea Haselbeck, Simon I Hay, Marianne Holm, Susan Hopkins, Yingfen Hsia, Kenneth C Iregbu, Jan Jacobs, Daniel Jarovsky, Fatemeh Javanmardi, Adam W J Jenney, Meera Khorana, Suwimon Khusuwan, Niranjan Kissoon, Elsa Kobeissi, Tomislav Kostyanev, Fiorella Krapp, Ralf Krumkamp, Ajay Kumar, Hmwe Hmwe Kyu, Cherry Lim, Kruy Lim, Direk Limmathurotsakul, Michael James Loftus, Miles Lunn, Jianing Ma, Anand Manoharan, Florian Marks, Jürgen May, Mayfong Mayxay, Neema Mturi, Tatiana Munera-Huertas, Patrick Musicha, Lilian A Musila, Marisa Marcia Mussi-Pinhata, Ravi Narayan Naidu, Tomoka Nakamura, Ruchi Nanavati, Sushma Nangia, Paul Newton, Chanpheaktra Ngoun, Amanda Novotney, Davis Nwakanma, Christina W Obiero, Theresa J Ochoa, Antonio Olivas-Martinez, Piero Olliaro, Ednah Ooko, Edgar Ortiz-Brizuela, Pradthana Ounchanum, Gideok D Pak, Jose Luis Paredes, Anton Yariv Peleg, Carlo Perrone, Thong Phe, Koukeo Phommasone, Nishad Plakkal, Alfredo Ponce-de-Leon, Mathieu Raad, Tanusha Ramdin, Sayaphet Rattanavong, Amy Riddell, Tamalee Roberts, Julie Victoria Robotham, Anna Roca, Victor Daniel Rosenthal, Kristina E Rudd, Neal Russell, Helio S Sader, Weerawut Saengchan, Jesse Schnall, John Anthony Gerard Scott, Samroeng Seekaew, Mike Sharland, Madhusudhan Shivamallappa, Jose Sifuentes-Osornio, Andrew J Simpson, Nicolas Steenkeste, Andrew James Stewardson, Temenuga Stoeva, Nidanuch Tasak, Areerat Thaiprakong, Guy Thwaites, Caroline Tigoi, Claudia Turner, Paul Turner, H Rogier van Doorn, Sithembiso Velaphi, Avina Vongpradith, Manivanh Vongsouvath, Huong Vu, Timothy Walsh, Judd L Walson, Seymour Waner, Tri Wangrangsimakul, Prapass Wannapinij, Teresa Wozniak, Tracey E M W Young Sharma, Kalvin C Yu, Peng Zheng, Benn Sartorius, Alan D Lopez, Andy Stergachis, Catrin Moore, Christiane Dolecek, Mohsen Naghavi

Publikováno v: The lancet : international edition

Background Antimicrobial resistance (AMR) poses a major threat to human health around the world. Previous publications have estimated the effect of AMR on incidence, deaths, hospital length of stay, and health-care costs for specific pathogen–drug

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6479e10d175ea2f2f8f4276e5beff97b
https://hdl.handle.net/10067/1874240151162165141

Outcomes of very preterm infants with neonatal hyperglycaemia: a systematic review and meta-analysis

Autor: Sanjay Patole, Chandra Prakash Rath, Shripada Rao, Madhusudhan Shivamallappa, Saravanan Muthusamy

Publikováno v: Archives of disease in childhood. Fetal and neonatal edition. 107(3)

ObjectiveTo explore the association between hyperglycaemia and adverse outcomes in very preterm infants.DesignSystematic review and meta-analysis. Data were pooled separately for adjusted and unadjusted odds ratios (ORs) using random-effects model. S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3ca1934749b855f052e65d4fcf476dc
https://pubmed.ncbi.nlm.nih.gov/34330757