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Lancet (London, England) Feb 2022Antimicrobial resistance (AMR) poses a major threat to human health around the world. Previous publications have estimated the effect of AMR on incidence, deaths,...
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 combinations in select locations. To our knowledge, this study presents the most comprehensive estimates of AMR burden to date.
METHODS
We estimated deaths and disability-adjusted life-years (DALYs) attributable to and associated with bacterial AMR for 23 pathogens and 88 pathogen-drug combinations in 204 countries and territories in 2019. We obtained data from systematic literature reviews, hospital systems, surveillance systems, and other sources, covering 471 million individual records or isolates and 7585 study-location-years. We used predictive statistical modelling to produce estimates of AMR burden for all locations, including for locations with no data. Our approach can be divided into five broad components: number of deaths where infection played a role, proportion of infectious deaths attributable to a given infectious syndrome, 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. Using these components, we estimated disease burden based on two counterfactuals: deaths attributable to AMR (based on an alternative scenario in which all drug-resistant infections were replaced by drug-susceptible infections), and deaths associated with AMR (based on an alternative scenario in which all drug-resistant infections were replaced by no infection). 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. We present final estimates aggregated to the global and regional level.
FINDINGS
On the basis of our predictive statistical models, there were an estimated 4·95 million (3·62-6·57) deaths associated with bacterial AMR in 2019, including 1·27 million (95% UI 0·911-1·71) deaths attributable to bacterial AMR. At the regional level, we estimated the all-age death rate attributable to resistance to be highest in western sub-Saharan Africa, at 27·3 deaths per 100 000 (20·9-35·3), and lowest in Australasia, at 6·5 deaths (4·3-9·4) per 100 000. Lower respiratory infections accounted for more than 1·5 million deaths associated with resistance in 2019, making it the most burdensome infectious syndrome. The six leading pathogens for deaths associated with resistance (Escherichia coli, followed by Staphylococcus aureus, Klebsiella pneumoniae, Streptococcus pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa) were responsible for 929 000 (660 000-1 270 000) deaths attributable to AMR and 3·57 million (2·62-4·78) deaths associated with AMR in 2019. One pathogen-drug combination, meticillin-resistant S aureus, caused more than 100 000 deaths attributable to AMR in 2019, while six more each caused 50 000-100 000 deaths: multidrug-resistant excluding extensively drug-resistant tuberculosis, third-generation cephalosporin-resistant E coli, carbapenem-resistant A baumannii, fluoroquinolone-resistant E coli, carbapenem-resistant K pneumoniae, and third-generation cephalosporin-resistant K pneumoniae.
INTERPRETATION
To our knowledge, this study provides the first comprehensive assessment of the global burden of AMR, as well as an evaluation of the availability of data. AMR is a leading cause of death around the world, with the highest burdens in low-resource settings. Understanding the burden of AMR and the leading pathogen-drug combinations contributing to it is crucial to making informed and location-specific policy decisions, particularly about infection prevention and control programmes, access to essential antibiotics, and research and development of new vaccines and antibiotics. There are serious data gaps in many low-income settings, emphasising the need to expand microbiology laboratory capacity and data collection systems to improve our understanding of this important human health threat.
FUNDING
Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.
Topics: Anti-Bacterial Agents; Bacterial Infections; Drug Resistance, Bacterial; Global Burden of Disease; Global Health; Humans; Models, Statistical
PubMed: 35065702
DOI: 10.1016/S0140-6736(21)02724-0 -
International Journal of Environmental... Sep 2022One of the public health issues faced worldwide is antibiotic resistance (AR). During the novel coronavirus (COVID-19) pandemic, AR has increased. Since some studies... (Review)
Review
One of the public health issues faced worldwide is antibiotic resistance (AR). During the novel coronavirus (COVID-19) pandemic, AR has increased. Since some studies have stated AR has increased during the COVID-19 pandemic, and others have stated otherwise, this study aimed to explore this impact. Seven databases-PubMed, MEDLINE, EMBASE, Scopus, Cochrane, Web of Science, and CINAHL-were searched using related keywords to identify studies relevant to AR during COVID-19 published from December 2019 to May 2022, according to PRISMA guidelines. Twenty-three studies were included in this review, and the evidence showed that AR has increased during the COVID-19 pandemic. The most commonly reported resistant Gram-negative bacteria was , followed by , , and . and were highly resistant to tested antibiotics compared with and . Moreover, showed high resistance to colistin. Commonly reported Gram-positive bacteria were and . The resistance of to ampicillin, erythromycin, and Ciprofloxacin was high. Self-antibiotic medication, empirical antibiotic administration, and antibiotics prescribed by general practitioners were the risk factors of high levels of AR during COVID-19. Antibiotics' prescription should be strictly implemented, relying on the Antimicrobial Stewardship Program (ASP) and guidelines from the World Health Organization (WHO) or Ministry of Health (MOH).
Topics: Ampicillin; Anti-Bacterial Agents; Ciprofloxacin; Colistin; Drug Resistance, Bacterial; Erythromycin; Escherichia coli; Humans; Microbial Sensitivity Tests; Pandemics; Pseudomonas aeruginosa; COVID-19 Drug Treatment
PubMed: 36231256
DOI: 10.3390/ijerph191911931 -
Clinical Microbiology and Infection :... Mar 2023COVID-19 and antimicrobial resistance (AMR) are two intersecting global public health crises. (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
COVID-19 and antimicrobial resistance (AMR) are two intersecting global public health crises.
OBJECTIVE
We aimed to describe the impact of the COVID-19 pandemic on AMR across health care settings.
DATA SOURCE
A search was conducted in December 2021 in WHO COVID-19 Research Database with forward citation searching up to June 2022.
STUDY ELIGIBILITY
Studies evaluating the impact of COVID-19 on AMR in any population were included and influencing factors were extracted. Reporting of enhanced infection prevention and control and/or antimicrobial stewardship programs was noted.
METHODS
Pooling was done separately for Gram-negative and Gram-positive organisms. Random-effects meta-analysis was performed.
RESULTS
Of 6036 studies screened, 28 were included and 23 provided sufficient data for meta-analysis. The majority of studies focused on hospital settings (n = 25, 89%). The COVID-19 pandemic was not associated with a change in the incidence density (incidence rate ratio 0.99, 95% CI: 0.67-1.47) or proportion (risk ratio 0.91, 95% CI: 0.55-1.49) of methicillin-resistant Staphylococcus aureus or vancomycin-resistant enterococci cases. A non-statistically significant increase was noted for resistant Gram-negative organisms (i.e. extended-spectrum beta-lactamase, carbapenem-resistant Enterobacterales, carbapenem or multi-drug resistant or carbapenem-resistant Pseudomonas aeruginosa or Acinetobacter baumannii, incidence rate ratio 1.64, 95% CI: 0.92-2.92; risk ratio 1.08, 95% CI: 0.91-1.29). The absence of reported enhanced infection prevention and control and/or antimicrobial stewardship programs initiatives was associated with an increase in gram-negative AMR (risk ratio 1.11, 95% CI: 1.03-1.20). However, a test for subgroup differences showed no statistically significant difference between the presence and absence of these initiatives (p 0.40).
CONCLUSION
The COVID-19 pandemic may have hastened the emergence and transmission of AMR, particularly for Gram-negative organisms in hospital settings. But there is considerable heterogeneity in both the AMR metrics used and the rate of resistance reported across studies. These findings reinforce the need for strengthened infection prevention, antimicrobial stewardship, and AMR surveillance in the context of the COVID-19 pandemic.
Topics: Humans; Anti-Bacterial Agents; Drug Resistance, Bacterial; Methicillin-Resistant Staphylococcus aureus; COVID-19; Carbapenems
PubMed: 36509377
DOI: 10.1016/j.cmi.2022.12.006 -
Emerging Infectious Diseases Jul 2020A high prevalence rate of macrolide-resistant Mycoplasma pneumoniae (MRMP) has been reported in Asia. We performed a systematic review and meta-analysis to investigate... (Meta-Analysis)
Meta-Analysis
A high prevalence rate of macrolide-resistant Mycoplasma pneumoniae (MRMP) has been reported in Asia. We performed a systematic review and meta-analysis to investigate the effect of macrolide resistance on the manifestations and clinical judgment during M. pneumoniae infections. We found no difference in clinical severity between MRMP and macrolide-sensitive Mycoplasma pneumoniae (MSMP) infections. However, in the pooled data, patients infected with MRMP had a longer febrile period (1.71 days), length of hospital stay (1.61 day), antibiotic drug courses (2.93 days), and defervescence time after macrolide treatment (2.04 days) compared with patients infected with MSMP. The risk of fever lasting for >48 hours after macrolide treatment was also significantly increased (OR 21.24), and an increased proportion of patients was changed to second-line treatment (OR 4.42). Our findings indicate diagnostic and therapeutic challenges after the emergence of MRMP. More precise diagnostic tools and clearly defined treatment should be appraised in the future.
Topics: Anti-Bacterial Agents; Asia; Child; Community-Acquired Infections; Drug Resistance, Bacterial; Humans; Macrolides; Mycoplasma pneumoniae; Pneumonia, Mycoplasma
PubMed: 32568052
DOI: 10.3201/eid2607.200017 -
Journal of Global Antimicrobial... Mar 2020Staphylococcus aureus is one of the most common pathogens causing nosocomial and community-acquired infections associated with high morbidity and mortality. Mupirocin... (Meta-Analysis)
Meta-Analysis Review
OBJECTIVES
Staphylococcus aureus is one of the most common pathogens causing nosocomial and community-acquired infections associated with high morbidity and mortality. Mupirocin has been increasingly used for treatment of methicillin-susceptible S. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) infections. The aim of this study was to determine the prevalence of mupirocin-resistant S. aureus (MuRSA), mupirocin-resistant MRSA (MuRMRSA), high-level MuRSA (HLMuRSA) and high-level MuRMRSA (HLMuRMRSA) worldwide.
METHODS
Online databases including Medline, Embase and Web of Science were searched (2000-2018) to identify studies addressing the prevalence of MuRSA, MuRMRSA, HLMuRSA and HLMuRMRSA. STATA v. software was used to interpret the data.
RESULTS
Of the 2243 records identified from the databases, 30 and 63 studies fulfilled the eligibility criteria for MuRSA and MuRMRSA, respectively. Finally, 27 and 60 studies were included separately for HLMuRSA and HLMuRMRSA, respectively. The analyses revealed pooled and averaged prevalences of MuRSA, MuRMRSA, HLMuRSA and HLMuRMRSA of 7.6% [95% confidence interval (CI) 6.2-9.0%], 13.8% (95% CI 12.0-15.6%), 8.5% (95% CI 6.3-10.7%) and 8.1% (95% CI 6.8-9.4%), respectively.
CONCLUSION
Overall, these results show a global increase in the prevalence of HLMuRSA and HLMuRMRSA among clinical S. aureus isolates over time. However, there was only a significant increase in the prevalence of MuRMRSA compared with the other categories, especially MuRSA. Since mupirocin remains the most effective antibiotic for MSSA and MRSA decolonisation both in patients and healthcare personnel, a reduction of its effectiveness presents a risk for invasive infection. Monitoring of mupirocin resistance development remains critical.
Topics: Community-Acquired Infections; Cross Infection; Drug Resistance, Bacterial; Humans; Methicillin-Resistant Staphylococcus aureus; Microbial Sensitivity Tests; Mupirocin; Population Surveillance; Prevalence; Staphylococcal Infections
PubMed: 31442624
DOI: 10.1016/j.jgar.2019.07.032 -
Frontiers in Cellular and Infection... 2023Bacterial biofilms are complex microbial communities encased in extracellular polymeric substances. Their formation is a multi-step process. Biofilms are a significant... (Review)
Review
Bacterial biofilms are complex microbial communities encased in extracellular polymeric substances. Their formation is a multi-step process. Biofilms are a significant problem in treating bacterial infections and are one of the main reasons for the persistence of infections. They can exhibit increased resistance to classical antibiotics and cause disease through device-related and non-device (tissue) -associated infections, posing a severe threat to global health issues. Therefore, early detection and search for new and alternative treatments are essential for treating and suppressing biofilm-associated infections. In this paper, we systematically reviewed the formation of bacterial biofilms, associated infections, detection methods, and potential treatment strategies, aiming to provide researchers with the latest progress in the detection and treatment of bacterial biofilms.
Topics: Humans; Biofilms; Bacteria; Bacterial Infections; Extracellular Polymeric Substance Matrix; Anti-Bacterial Agents
PubMed: 37091673
DOI: 10.3389/fcimb.2023.1137947 -
International Journal of Antimicrobial... 2022Antimicrobial resistance (AMR) is a global health threat; rapid and timely identification of AMR improves patient prognosis and reduces inappropriate antibiotic use. (Meta-Analysis)
Meta-Analysis Review
INTRODUCTION
Antimicrobial resistance (AMR) is a global health threat; rapid and timely identification of AMR improves patient prognosis and reduces inappropriate antibiotic use.
METHODS
Relevant literature in PubMed, Web of Science, Embase and Institute of Electrical and Electronics Engineers prior to 28 September 2021 was searched. Any study that deployed machine learning (ML) or a risk score as a tool to predict AMR was included in the final review; there were 25 studies that employed the ML algorithm to predict AMR.
RESULTS
Extended spectrum β-lactamases, methicillin-resistant Staphylococcus aureus (MRSA) and carbapenem resistance were the most common outcomes in studies with a specific resistance pattern. The most common algorithms in ML prediction were logistic regression (n = 14 studies), decision tree (n = 14) and random forest (n = 7). The area under the curve (AUC) range for ML prediction was 0.48-0.93. The pooled AUC for ML prediction was 0.82 (0.78-0.85). Compared with risk score, higher specificity [87% (82-91) vs. 37% (25-51)] was indicated for ML prediction, but not sensitivity [67% (62-72) vs. 73% (67-79)].
CONCLUSIONS
Machine learning might be a potential technology for AMR prediction; however, retrospective methodology for model development, nonstandard data processing and scarcity of validation in a randomised controlled trial or real-world study limit the application of these models in clinical practice.
Topics: Humans; Drug Resistance, Bacterial; Anti-Bacterial Agents; Methicillin-Resistant Staphylococcus aureus; Retrospective Studies; Machine Learning
PubMed: 36279973
DOI: 10.1016/j.ijantimicag.2022.106684 -
JAMA Network Open Jul 2022The proportion of macrolide-resistant Mycoplasma pneumoniae (MRMP) infections has changed, and it differs according to geographical region. (Meta-Analysis)
Meta-Analysis
IMPORTANCE
The proportion of macrolide-resistant Mycoplasma pneumoniae (MRMP) infections has changed, and it differs according to geographical region.
OBJECTIVE
To analyze the global patterns, including the temporal trends, regional variations, and variant types, in the proportion of MRMP infections in this systematic review and meta-anaysis.
DATA SOURCES
PubMed, Cochrane Library, and Embase databases were searched for observational studies from inception to September 10, 2021.
STUDY SELECTION
Observational studies reporting the proportion of MRMP infections were screened independently by 2 authors. The presence of MRMP infection was defined as any case of M pneumoniae infection positive for any variants associated with macrolide resistance identified using respiratory samples.
DATA EXTRACTION AND SYNTHESIS
Data were extracted independently and in duplicate by 2 reviewers. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline was used. Random-effects meta-analyses were used to estimate the proportion of MRMP infections.
MAIN OUTCOMES AND MEASURES
The global patterns in the proportion of MRMP infections were estimated, and the temporal trends and variant types of MRMP infection with regional differences were investigated.
RESULTS
This study included 153 studies from 150 articles (27 408 samples in 26 countries) in the meta-analysis. The global patterns in the proportion of MRMP infections showed an increasing trend with regional differences. The proportion of MRMP infections was highest in the Western Pacific regions (53.4%; 95% CI, 47.4%-60.3%), followed by the South East Asian region (9.8%; 95% CI, 0.8%-100%), the region of the Americas (8.4%; 95% CI, 6.1%-11.6%), and the European region (5.1%; 95% CI, 3.3%-8.0%). The most commonly identified variant of MRMP infection was A2063G (96.8%; 95% CI, 95.8%-97.7%), followed by A2064G (4.8%; 95% CI, 3.5%-6.7%). The proportion of MRMP infections was the highest in studies including only children (37.0%; 95% CI, 29.8%-46.1%), followed by those including only adults (15.9%; 95% CI, 6.4%-39.7%) and those including both children and adults (16.7%; 95% CI, 10.1%-27.6%).
CONCLUSIONS AND RELEVANCE
This study provides global trends in the proportion of MRMP infections and suggests that strategies to prevent the spread of MRMP infection and to treat MRMP infections are needed to decrease disease burden.
Topics: Adult; Anti-Bacterial Agents; Child; Drug Resistance, Bacterial; Humans; Macrolides; Microbial Sensitivity Tests; Pneumonia, Mycoplasma; United States
PubMed: 35816304
DOI: 10.1001/jamanetworkopen.2022.20949 -
The Science of the Total Environment Nov 2020Antibiotic-resistant bacteria (ARB) and antibiotic-resistance genes (ARGs) are constantly shed into the aquatic environment, with hospital wastewater potentially acting... (Meta-Analysis)
Meta-Analysis Review
Antibiotic-resistant bacteria (ARB) and antibiotic-resistance genes (ARGs) are constantly shed into the aquatic environment, with hospital wastewater potentially acting as an important source for resistance spread into the environment. A systematic review was conducted aiming to investigate the role of hospital wastewater on dissemination of antimicrobial resistance in the aquatic environment. Studies included in the review compared the prevalence of ARB and/or ARGs in hospital versus community wastewater. Data were extracted on ARB and/or ARG prevalence. Data on sampling techniques, microbiological methodology and risk of bias of included studies were recorded. Thirty-seven studies were included. Higher frequencies of antibiotic resistance determinants were found in hospital wastewater compared to community sources in 30/37 (81%) of included studies. However, trends for specific multi-drug-resistant bacteria differed. Antibiotic-resistant Gram-negative were more prevalent in hospital compared to community wastewaters, with higher concentrations of extended-spectrum-beta-lactamase-producing pathogens and carbapenemase-producing Enterobacteriaceae in hospital sources in 9/9 studies and 6/7 studies, respectively. Hospitals did not contribute consistently to the abundance of vancomycin-resistant Enterococci (VRE); 5/10 studies found higher abundance of VRE in hospital compared to community wastewaters. Reporting on sampling methods, wastewater treatment processes and statistical analysis were at high risk of bias. Extreme heterogeneity in study methods and outcome reporting precluded meta-analysis. Current evidence concurs that hospital wastewater is an important source for antibiotic resistance in aquatic environments, mainly multidrug-resistant Gram-negative bacteria. Future research is needed to assess the effect of wastewater treatment processes on overall antibiotic resistance in the aquatic environment.
Topics: Anti-Bacterial Agents; Bacteria; Drug Resistance, Multiple, Bacterial; Genes, Bacterial; Wastewater
PubMed: 32758846
DOI: 10.1016/j.scitotenv.2020.140804 -
Journal of Global Antimicrobial... Mar 2021This study aimed to compare the efficacy and safety of combination therapy with high-dose sulbactam or colistin with additional antibacterial agents for treating... (Meta-Analysis)
Meta-Analysis Review
Comparative efficacy and safety of combination therapy with high-dose sulbactam or colistin with additional antibacterial agents for multiple drug-resistant and extensively drug-resistant Acinetobacter baumannii infections: A systematic review and network meta-analysis.
OBJECTIVES
This study aimed to compare the efficacy and safety of combination therapy with high-dose sulbactam or colistin with additional antibacterial agents for treating multidrug-resistant or extensively drug-resistant Acinetobacter baumannii (MDR-AB or XDR-AB) infections.
METHODS
We systematically searched PubMed, Embase, Cochrane, and Web of Science (through March 30, 2020) for studies that examined high-dose sulbactam or colistin with additional antibacterial agents as therapy for patients with infections with MDR-AB and XDR-AB. Through a network meta-analysis (NMA), using both direct and indirect evidence, we determined risk ratios and 95% confidence intervals. Primary outcomes included clinical improvement, clinical cure, microbiological eradication, and mortality from any cause. Secondary outcomes included nephrotoxicity.
RESULTS
The NMA included 18 studies and 1835 patients. We found that high-dose sulbactam (≥6 g per day), combined with another single antibacterial agent (levofloxacin or tigecycline), which were the highest ranking in clinical improvement and clinical cure. Still colistin-based combination in drug-resistant Acinetobacter baumannii therapy occupied the main position (the number of studies and patients) in most studies. Colistin combined with additional antibacterial agents was associated with a higher risk of nephrotoxicity.
CONCLUSIONS
Therapeutic regimens including high-dose sulbactam in combination with additional antibacterial agents (including colistin) might be one of the promising options for the treatment of MDR-AB or XDR-AB infections and high-quality study will be needed to confirm clinical efficacy.
Topics: Acinetobacter Infections; Acinetobacter baumannii; Anti-Bacterial Agents; Colistin; Drug Resistance, Multiple, Bacterial; Drug Therapy, Combination; Humans; Microbial Sensitivity Tests; Minocycline; Network Meta-Analysis; Pharmaceutical Preparations; Sulbactam
PubMed: 32889142
DOI: 10.1016/j.jgar.2020.08.021