Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis
The Lancet Feb 15, 2022
The most comprehensive estimates of antimicrobial resistance (AMR) burden to date are presented in this study.
Deaths and disability-adjusted life-years (DALYs) attributable to and linked with bacterial AMR are determined for 23 pathogens and 88 pathogen–drug combinations in 204 countries and territories in 2019.
A total of 471 million individual records or isolates and 7,585 study-location-years were included via assessing data retrieved from systematic literature reviews, hospital systems, surveillance systems, and other sources.
Predictive statistical modeling was utilized to generate estimates of AMR burden for all locations, including for locations with no data.
A total of 4·95 million (3·62–6·57) deaths are estimated to be linked with bacterial AMR in 2019, including 1·27 million deaths attributable to bacterial AMR.
At the regional level, western sub-Saharan Africa was estimated to have the highest all-age death rate attributable to resistance, and Australasia had the lowest.
Lower respiratory infections were noted to be the most burdensome infectious syndrome given their correlation with more than 1·5 million deaths associated with resistance in 2019.
Following were the six leading pathogens for deaths associated with resistance that were responsible for 929,000 deaths attributable to AMR and 3·57 million deaths associated with AMR in 2019: Escherichia coli, followed by Staphylococcus aureus, Klebsiella pneumoniae, Streptococcus pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa.
This is the first comprehensive assessment of the global burden of AMR, as well as an evaluation of the availability of data.
With the highest burdens in low-resource settings, researchers identified AMR to be a leading cause of death around the world.
By attaining an insight into the burden of AMR and the leading pathogen–drug combinations contributing to it, it will be possible to make informed and location-specific policy decisions, particularly concerning infection prevention and control programs, access to essential antibiotics, and research and development of new vaccines and antibiotics.
Because of serious data gaps in many low-income settings, researchers emphasize the necessity to expand microbiology laboratory capacity and data collection systems to enhance the knowledge concerning this important human health threat.
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