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Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050
dc.contributor.author | Naghavi M. | |
dc.contributor.author | Vollset S.E. | |
dc.contributor.author | Ikuta K.S. | |
dc.contributor.author | Swetschinski L.R. | |
dc.contributor.author | Gray A.P. | |
dc.contributor.author | Wool E.E. | |
dc.contributor.author | Mestrovic T. | |
dc.contributor.author | Smith G. | |
dc.contributor.author | Han C. | |
dc.contributor.author | Hsu R.L. | |
dc.contributor.author | Chalek J. | |
dc.contributor.author | Araki D.T. | |
dc.contributor.author | Chung E. | |
dc.contributor.author | Raggi C. | |
dc.contributor.author | Hayoon A.G. | |
dc.contributor.author | Weaver N.D. | |
dc.contributor.author | Lindstedt P.A. | |
dc.contributor.author | Smith A.E. | |
dc.contributor.author | Bhattacharjee N.V. | |
dc.contributor.author | Runghien T. | |
dc.contributor.author | Ahlstrom A.J. | |
dc.contributor.author | Aravkin A.Y. | |
dc.contributor.author | Dai X. | |
dc.contributor.author | Fuller J.E. | |
dc.date.accessioned | 2025-01-15T20:49:06Z | |
dc.date.available | 2025-01-15T20:49:06Z | |
dc.date.issued | 2024 | |
dc.identifier.other | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204727310&doi=10.1016%2fS0140-6736%2824%2901867-1&partnerID=40&md5=c7d6dff350a0292476bf51782e4443b0 | |
dc.identifier.uri | http://hdl.handle.net/10818/63286 | |
dc.description.abstract | Background: Antimicrobial resistance (AMR) poses an important global health challenge in the 21st century. A previous study has quantified the global and regional burden of AMR for 2019, followed with additional publications that provided more detailed estimates for several WHO regions by country. To date, there have been no studies that produce comprehensive estimates of AMR burden across locations that encompass historical trends and future forecasts. Methods: We estimated all-age and age-specific deaths and disability-adjusted life-years (DALYs) attributable to and associated with bacterial AMR for 22 pathogens, 84 pathogen–drug combinations, and 11 infectious syndromes in 204 countries and territories from 1990 to 2021. We collected and used multiple cause of death data, hospital discharge data, microbiology data, literature studies, single drug resistance profiles, pharmaceutical sales, antibiotic use surveys, mortality surveillance, linkage data, outpatient and inpatient insurance claims data, and previously published data, covering 520 million individual records or isolates and 19 513 study-location-years. We used statistical modelling to produce estimates of AMR burden for all locations, including those with no data. Our approach leverages the estimation of five broad component quantities: the number of deaths involving sepsis; the proportion of infectious deaths attributable to a given infectious syndrome; the proportion of infectious syndrome deaths attributable to a given pathogen; the percentage of a given pathogen resistant to an antibiotic of interest; and the excess risk of death or duration of an infection associated with this resistance. | en |
dc.format | application/pdf | es_CO |
dc.language.iso | eng | es_CO |
dc.publisher | The Lancet | es_CO |
dc.relation.ispartofseries | The Lancet vol. 404 n. 10459 p. 1199-1226 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050 | en |
dc.type | journal article | es_CO |
dc.type.hasVersion | publishedVersion | es_CO |
dc.rights.accessRights | openAccess | es_CO |
dc.identifier.doi | 10.1016/S0140-6736(24)01867-1 |
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Facultad de Medicina [1517]