The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis

Tomislav Meštrović(Institute for Health Metrics and Evaluation), Gisela Robles Aguilar(Institute for Health Metrics and Evaluation), Lucien R Swetschinski(University of Washington), Kevin S Ikuta(Institute for Health Metrics and Evaluation), Authia P Gray(Institute for Health Metrics and Evaluation), Nicole Davis Weaver(University of Washington), Chieh Han(University of Washington), Eve E Wool(Institute for Health Metrics and Evaluation), Anna Gershberg Hayoon(Institute for Health Metrics and Evaluation), Simon I Hay(University of Washington), Christiane Dolecek(Institute for Health Metrics and Evaluation), Benn Sartorius(University of Washington), Christopher J L Murray(University of Washington), Isaac Yeboah Addo(University of Washington), Bright Opoku Ahinkorah(Institute for Health Metrics and Evaluation), Ayman Ahmed(University of Washington), Mamoon A. Aldeyab(Institute for Health Metrics and Evaluation), Kasim Allel(University of Washington), Robert Ancuceanu(Institute for Health Metrics and Evaluation), Anayochukwu Edward Anyasodor(University of Washington), Marcel Ausloos(University of Washington), Fabio Barra(Institute for Health Metrics and Evaluation), Akshaya Srikanth Bhagavathula(University of Washington), Dinesh Bhandari(University of Washington), Sonu Bhaskar(Institute for Health Metrics and Evaluation), Natália Martins(University of Washington), Anna Dastiridou(Institute for Health Metrics and Evaluation), Клара Докова(Institute for Health Metrics and Evaluation), Eleonora Dubljanin(University of Washington), Oyewole Christopher Durojaiye, Adeniyi Francis Fagbamigbe(University of Washington), Simone Ferrero(University of Washington), Péter Gaál(Institute for Health Metrics and Evaluation), Veer Bala Gupta(University of Washington), Vijai Kumar Gupta(University of Washington), Vivek Gupta(University of Washington), Claudiu Herţeliu(University of Washington), Salman Hussain(University of Washington), Irena Ilić(University of Washington), Milena Ilić(University of Washington), Elham Jamshidi(Institute for Health Metrics and Evaluation), Tamás Joó(University of Washington), André Karch(University of Washington), Adnan Kısa(University of Washington), Sezer Kısa(Institute for Health Metrics and Evaluation), Tomislav Kostyanev(Institute for Health Metrics and Evaluation), Hmwe Hmwe Kyu(Institute for Health Metrics and Evaluation), Judit Lám(Institute for Health Metrics and Evaluation), Graciliana Lopes(Institute for Health Metrics and Evaluation), Alexander G. Mathioudakis(University of Washington), Alexios‐Fotios A. Mentis(University of Washington), Irmina Maria Michałek(University of Washington), Mohammad Ali Moni(University of Washington), Catrin E. Moore(University of Washington), Francesk Mulita(University of Washington), Ionuţ Negoi(Institute for Health Metrics and Evaluation), Ruxandra Irina Negoi(Institute for Health Metrics and Evaluation), Tamás Palicz(University of Washington), Adrian Pană(Institute for Health Metrics and Evaluation), João Perdigão(Institute for Health Metrics and Evaluation), Ionela-Roxana Petcu(Institute for Health Metrics and Evaluation), Navid Rabiee(Institute for Health Metrics and Evaluation), David Laith Rawaf(University of Washington), Salman Rawaf(Institute for Health Metrics and Evaluation), Murad Z. Shakhmardanov(University of Washington), Aziz Sheikh(Institute for Health Metrics and Evaluation), Luís R. Silva(Institute for Health Metrics and Evaluation), Valentin Yurievich Skryabin(Institute for Health Metrics and Evaluation), Anna Aleksandrovna Skryabina(University of Washington), Bogdan Socea(Institute for Health Metrics and Evaluation), Andy Stergachis(University of Washington), Temenuga Stoeva, Chandra Datta Sumi(University of Washington), Arulmani Thiyagarajan(University of Washington), Marcos Roberto Tovani‐Palone(Institute for Health Metrics and Evaluation), Metin Yeşiltepe(Institute for Health Metrics and Evaluation), Sojib Bin Zaman(University of Washington), Mohsen Naghavi(Institute for Health Metrics and Evaluation)
The Lancet Public Health
October 14, 2022
Cited by 347Open Access
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Abstract

BACKGROUND: Antimicrobial resistance (AMR) represents one of the most crucial threats to public health and modern health care. Previous studies have identified challenges with estimating the magnitude of the problem and its downstream effect on human health and mortality. To our knowledge, this study presents the most comprehensive set of regional and country-level estimates of AMR burden in the WHO European region to date. METHODS: We estimated deaths and disability-adjusted life-years attributable to and associated with AMR for 23 bacterial pathogens and 88 pathogen-drug combinations for the WHO European region and its countries in 2019. Our methodological approach consisted of five broad components: the number of deaths in which infection had a role, 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 antimicrobial drug of interest, and the excess risk of mortality (or duration of an infection) associated with this resistance. These components were then used to estimate the disease burden by using two counterfactual scenarios: deaths attributable to AMR (considering an alternative scenario where infections with resistant pathogens are replaced with susceptible ones) and deaths associated with AMR (considering an alternative scenario where drug-resistant infections would not occur at all). Data were solicited from a wide array of international stakeholders; these included research hospitals, surveillance networks, and infection databases maintained by private laboratories and medical technology companies. We generated 95% uncertainty intervals (UIs) for final estimates as the 25th and 975th ordered values across 1000 posterior draws, and models were cross-validated for out-of-sample predictive validity. FINDINGS: We estimated 541 000 deaths (95% UI 370 000-763 000) associated with bacterial AMR and 133 000 deaths (90 100-188 000) attributable to bacterial AMR in the whole WHO European region in 2019. The largest fatal burden of AMR in the region came from bloodstream infections, with 195 000 deaths (104 000-333 000) associated with resistance, followed by intra-abdominal infections (127 000 deaths [81 900-185 000]) and respiratory infections (120 000 deaths [94 500-154 000]). Seven leading pathogens were responsible for about 457 000 deaths associated with resistance in 53 countries of this region; these pathogens were, in descending order of mortality, Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, Pseudomonas aeruginosa, Enterococcus faecium, Streptococcus pneumoniae, and Acinetobacter baumannii. Methicillin-resistant S aureus was shown to be the leading pathogen-drug combination in 27 countries for deaths attributable to AMR, while aminopenicillin-resistant E coli predominated in 47 countries for deaths associated with AMR. INTERPRETATION: The high levels of resistance for several important bacterial pathogens and pathogen-drug combinations, together with the high mortality rates associated with these pathogens, show that AMR is a serious threat to public health in the WHO European region. Our regional and cross-country analyses open the door for strategies that can be tailored to leading pathogen-drug combinations and the available resources in a specific location. These results underscore that the most effective way to tackle AMR in this region will require targeted efforts and investments in conjunction with continuous outcome-based research endeavours. FUNDING: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.


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