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Global increase and geographic convergence in antibiotic consumption between 2000 and 2015.

TLDR
It is found that the antibiotic consumption rate in low- and middle- income countries (LMICs) has been converging to (and in some countries surpassing) levels typically observed in high-income countries, and projected total global antibiotic consumption through 2030 was up to 200% higher than the 42 billion DDDs estimated in 2015.
Abstract
Tracking antibiotic consumption patterns over time and across countries could inform policies to optimize antibiotic prescribing and minimize antibiotic resistance, such as setting and enforcing per capita consumption targets or aiding investments in alternatives to antibiotics. In this study, we analyzed the trends and drivers of antibiotic consumption from 2000 to 2015 in 76 countries and projected total global antibiotic consumption through 2030. Between 2000 and 2015, antibiotic consumption, expressed in defined daily doses (DDD), increased 65% (21.1–34.8 billion DDDs), and the antibiotic consumption rate increased 39% (11.3–15.7 DDDs per 1,000 inhabitants per day). The increase was driven by low- and middle-income countries (LMICs), where rising consumption was correlated with gross domestic product per capita (GDPPC) growth (P = 0.004). In high-income countries (HICs), although overall consumption increased modestly, DDDs per 1,000 inhabitants per day fell 4%, and there was no correlation with GDPPC. Of particular concern was the rapid increase in the use of last-resort compounds, both in HICs and LMICs, such as glycylcyclines, oxazolidinones, carbapenems, and polymyxins. Projections of global antibiotic consumption in 2030, assuming no policy changes, were up to 200% higher than the 42 billion DDDs estimated in 2015. Although antibiotic consumption rates in most LMICs remain lower than in HICs despite higher bacterial disease burden, consumption in LMICs is rapidly converging to rates similar to HICs. Reducing global consumption is critical for reducing the threat of antibiotic resistance, but reduction efforts must balance access limitations in LMICs and take account of local and global resistance patterns.

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Citations
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Biodegradation of pharmaceuticals in photobioreactors – a systematic literature review

TL;DR: The conclusion from the systematic review is that the main factors that limit widespread pharmaceuticals removal in photobioreactors are high costs and the problem of low efficiency related with low concentrations of pharmaceuticals.
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Conurbation size drives antibiotic resistance along the river.

TL;DR: Wang et al. as discussed by the authors assessed the ARGs profiles and antibiotic resistome in water samples along the Jiulong River basin, a distance of 250 km, to better understand the impact of anthropogenic activities.
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Bacteria survival strategies in contact with antibiotics.

TL;DR: The usefulness of proposed classification of resistant bacteria is described, including improved understanding of the correlation between bacteria survival in the presence of antibiotics and molecular mechanism of cell metabolism inhibition, the possibility for development of rational antimicrobial therapy methods.
References
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Journal ArticleDOI

Extended-spectrum beta-lactamases: a clinical update.

TL;DR: Extended-spectrum β-lactamases represent an impressive example of the ability of gram-negative bacteria to develop new antibiotic resistance mechanisms in the face of the introduction of new antimicrobial agents.
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Outpatient antibiotic use in Europe and association with resistance: a cross-national database study

TL;DR: Outpatient antibiotic use in 26 countries in Europe between Jan 1, 1997, and Dec 31, 2002 was investigated by calculating the number of defined daily doses (DDD) per 1000 inhabitants per day according to WHO anatomic therapeutic chemical classification and DDD measurement methodology, and the ecological association between antibiotic use and antibiotic resistance rates was assessed using Spearman's correlation coefficients.
Journal ArticleDOI

Tipping elements in the Earth's climate system

TL;DR: It is explained how, in principle, early warning systems could be established to detect the proximity of some tipping points, and critically evaluate potential policy-relevant tipping elements in the climate system under anthropogenic forcing.
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