High Levels Of Antimicrobial Resistance Research Articles

Antimicrobial resistance and ESBL production in uropathogenic Escherichia coli: a systematic review and meta-analysis in Ethiopia.

Antimicrobial resistance (AMR) is a serious threat to global health systems. Escherichia coli is a major cause of urinary tract infections (UTIs). Understanding the AMR patterns of uropathogenic E. coli (UPEC) is crucial for effective public health interventions worldwide. This systematic review and meta-analysis aimed to consolidate existing research and provide a comprehensive information on AMR UPEC in Ethiopia. We systematically searched databases such as PubMed, Web of Science, and Science Direct, along with including articles from Google Scholar. Data were extracted into Microsoft Excel and analysed using STATA 17.0. Cohen's kappa was computed to assess reviewer agreement, while the I2 statistic evaluated heterogeneity. Egger's tests were conducted to detect publication bias, and random-effects models were utilized to estimate the pooled resistance, with AMR rates for each antibiotic pooled separately. UPEC showed resistance rates, ranging from 3.64% (95% CI: -4.38% to 11.67%) for amikacin to 85.32% (95% CI: 78.6%-92.04%) for ampicillin. Highest resistance was to ampicillin (85.32%), followed by amoxicillin at 82.52% (95% CI: 74.3%-90.74%), tetracycline at 60.67% (95% CI: 51.53%-69.81%) and trimethoprim/sulfamethoxazole at 57.17% (95% CI: 49.93%-64.42%). Conversely, resistance rates were lower for amikacin at 3.64% and meropenem at 5.26% (95% CI: 2.64%-7.88%). UPEC demonstrated a pooled MDR rate of 79.17% (95% CI: 70.32%-88.01%) and a pooled ESBL production rate of 29.16% (95% CI: 22.36%-38.55%). High levels of AMR were observed in UPEC strains, highlighting a critical public health issue requiring urgent action through robust antimicrobial stewardship and surveillance to preserve effective UTI treatment options.

Detection of multidrug-resistant organisms of concern including Stenotrophomonas maltophilia and Burkholderia cepacia at a referral hospital in Kenya.

Regular monitoring of bacterial susceptibility to antibiotics in clinical settings is key for ascertaining the current trends as well as re-establish empirical therapy. This study aimed to determine bacterial contaminants and their antimicrobial susceptibility patterns from medical equipment, inanimate surfaces and clinical samples obtained from Thika Level V Hospital (TLVH), Thika, in Central Kenya. Three hundred and five samples were collected between the period of March 2021 to November 2021 and comprised urine, pus swabs, catheter swabs, stool, and environmental samples. Bacterial identification and antimicrobial susceptibility were performed using VITEK 2 and disc diffusion respectively. We observed that Coagulase-negative Staphylococci (28 /160, 17.5%) were the most commonly isolated species from clinical samples followed by E. coli (22 /160 13.8%) and S. aureus (22/160, 13.8%). The bed rails were the mostly contaminated surface with S. aureus accounting for 14.2% (6/42). Among the clinical samples, pus swabs yielded the highest number of pathogens was pus (92/160). Trauma patients had the highest proportion of isolates (67/160, 41.8%). High level of antimicrobial resistance to key antimicrobials, particularly among Enterobacterales was observed. Extended Spectrum Beta Lactamase (ESBL) phenotype was noted in 65.9% (29/44) of enteric isolates. While further ESBL genetic confirmatory studies are needed, this study highlights the urgent need for actions that mitigate the spread of antibiotic-resistant bacteria.

A One Health Perspective on Salmonella enterica Serovar Infantis, an Emerging Human Multidrug-Resistant Pathogen.

Salmonella enterica serovar Infantis presents an ever-increasing threat to public health because of its spread throughout many countries and association with high levels of antimicrobial resistance (AMR). We analyzed whole-genome sequences of 5,284 Salmonella Infantis strains from 74 countries, isolated during 1989-2020 from a wide variety of human, animal, and food sources, to compare genetic phylogeny, AMR determinants, and plasmid presence. The global Salmonella Infantis population structure diverged into 3 clusters: a North American cluster, a European cluster, and a global cluster. The levels of AMR varied by Salmonella Infantis cluster and by isolation source; 73% of poultry isolates were multidrug resistant, compared with 35% of human isolates. This finding correlated with the presence of the pESI megaplasmid; 71% of poultry isolates contained pESI, compared with 32% of human isolates. This study provides key information for public health teams engaged in reducing the spread of this pathogen.

Epidemiology, Clinical, and Microbiological Characteristics of Multidrug-Resistant Gram-Negative Bacteremia in Qatar.

Antimicrobial resistance is a global healthcare threat with significant clinical and economic consequences peaking at secondary and tertiary care hospitals where multidrug-resistant Gram-negative bacteria (MDR GNB) lead to poor outcomes. A prospective study was conducted between January and December 2019 for all invasive bloodstream infections (BSIs) secondary to MDR GNB in Qatar identified during routine microbiological service to examine their clinical, microbiological, and genomic characteristics. Out of 3238 episodes of GNB BSIs, the prevalence of MDR GNB was 13% (429/3238). The predominant MDR pathogens were Escherichia coli (62.7%), Klebsiella pneumoniae (20.4%), Salmonella species (6.6%), and Pseudomonas aeruginosa (5.3%), while out of 245 clinically evaluated patients, the majority were adult males, with the elderly constituting almost one-third of the cohort and with highest observed risk for prolonged hospital stays. The risk factors identified included multiple comorbidities, recent healthcare contact, previous antimicrobial therapy, and admission to critical care. The in-hospital mortality rate was recorded at 25.7%, associated with multiple comorbidities, admission to critical care, and the acquisition of MDR Pseudomonas aeruginosa. Resistant pathogens demonstrated high levels of antimicrobial resistance but noticeable susceptibility to amikacin and carbapenems. Genomic analysis revealed that Escherichia coli ST131 and Salmonella enterica ST1 were the predominant clones not observed with other pathogens.

Epidemiology, microbiological, clinical characteristics, and outcome of Burkholderia cepacia complex infections in non-cystic fibrosis adult patients from Qatar

ObjectivesBurkholderia species infections are associated with diverse and challenging clinical presentations because of distinct virulence and antimicrobial resistance factors. The study aims to evaluate the epidemiology, microbiological, and clinical outcomes of Burkholderia cepacia complex (Bcc) infections in non-cystic fibrosis (CF) patients from Qatar. MethodsA retrospective study was conducted on adult patients across all hospitals at Hamad Medical Corporation between January 2012 and December 2018 to evaluate clinically relevant Bcc in non-CF adult patients. ResultsOver 7 years, 72 episodes of Burkholderia species infections were recorded, 64 were secondary to Bcc primarily affecting males (78.12%) with a mean age of 53 years, from the Middle and Southeastern region (92.2%) affected predominantly by diabetes mellitus (34.4%), chronic kidney (23.4%), coronary heart (20.3%), and hypertensive diseases (17.2%) while recent hospitalization and admission to critical care were evident in 45.3% and 93.8% of cases, respectively. Main infection sites were urinary (43.8%) and respiratory (29.7%) with associated bacteremia recorded in 26.6% of cases. Microbiological characteristics demonstrated high-level resistance profiles leading to delayed microbiological clearance in case of bacteremia (61%) and management with multiple therapeutic agents (range 4-6) resulting in disease resolution in 90.6% of cases with observed 30-day mortality of 7.8%. ConclusionsB. cepacia infections are infrequent, recorded mainly in middle-aged males with chronic comorbidities presenting as urinary, respiratory, and bacteremia associated with hospitalization, admission to critical care, and invasive procedures. High-level antimicrobial resistance is observed necessitating multiple therapeutic agents and suboptimal bacteriological clearance.

Lactococcus garvieae-associated septicemia in a central bearded dragon.

Lactococcus garvieae is the causative agent of lactococcosis in fish and an emerging zoonotic pathogen with high levels of antimicrobial resistance. We report a case of L. garvieae-associated septicemia in a central bearded dragon (Pogona vitticeps) confirmed via whole-blood PCR and direct sequencing. Following a 30-d course of ceftazidime (20 mg/kg IM q72h), the animal's clinical condition had not resolved; leukopenia persisted, with heterophil toxic change. Coelomic ultrasound findings were consistent with preovulatory follicular stasis, folliculitis, and coelomitis. Following surgical ovariectomy and an additional 30-d course of ceftazidime, the animal's behavior and appetite returned to normal, the animal tested negative via whole-blood PCR assay, and the CBC was unremarkable. To our knowledge, L. garvieae with L. garvieae-associated clinical disease has not been reported previously in a bearded dragon. We conclude that L. garvieae should be considered as a possible etiologic agent in cases of septicemia in bearded dragons, with the potential for zoonotic transmission warranting further investigation.

Antimicrobial stewardship and molecular diagnostics: a symbiotic approach to combating resistance in the ED and ICU.

This review aims to evaluate the incorporation of rapid molecular diagnostics (RMD) in antimicrobial stewardship programs (ASPs) in the management of patients in the emergency department (ED) and intensive care unit (ICU), highlighting a shift from conventional microbiological diagnostic tests to RMD strategies to optimize antimicrobial use and improve patient outcomes. Recent advances in RMD have demonstrated the superior accuracy of RMD in identifying pathogens, combined with shorter turnaround times. RMD allows speeding up of antimicrobial decision making in the ED and facilitates faster escalation when empirical therapy was inappropriate, as well as more efficient de-escalation of empirical therapy later in the course of the treatment. Implementation of RMD however may be challenging. RMD hold great value in simplifying patient management and mitigating antimicrobial exposure, particularly in settings with high levels of antimicrobial resistance where the use of broad-spectrum antimicrobials is high. While the impact on the use of antimicrobials is significant, the impact on patient outcomes is not yet clear. Successful integration of RMD in clinical decision making in the ED and ICU requires a team approach and continued education, and its use should be adapted to the local epidemiology and infrastructure.

PRELIMINARY EVALUATION OF ANTIBIOTIC SUSCEPTIBILITY PATTERNS OF PATHOGENS ISOLATED FROM PRIVATE LABORATORY SPECIMENS IN UKRAINE

Objective. This study aims at conducting an analysis of data on antibiotic resistance to antimicrobials that were obtained for the period from April 28, 2018, to December 31, 2019, in a private laboratory in the city of Kharkiv. Materials and methods. We conducted an investigation into the identification and analysis of antimicrobial sensitivity for isolates obtained from patients at a private clinic in the city of Kharkiv from 2018 to 2019. Results. The analysis revealed that patients most frequently sought bacteriological examination for materials from the throat (34.5%) and nose (29.9%), while the least common requests were for examination of the mucous membrane of the oral cavity (2.3%) and skin (3.4%). The positive results accounted for 94.3% of the cases. The isolated strains included Staphylococcus aureus (29.4%), Neisseria spp. (16.5%), Staphylococcus epidermidis (14.1%), Streptococcus spp. of the Viridans group (12.9%), Candida albicans (5.9%), Moraxella spp. (1.2%), Streptococcus anhaemolyticus, Klebsiella pneumoniae, Escherichia coli, Pseudomonas aeruginosa (each constituting 3.5%), molds (2.4%), and Streptococcus haemolyticus, Enterobacter aerogenes, and Enterococcus faecalis (each accounting for 1.2%). The isolated strains obtained from patients of the private laboratory had a pronounced antibiotic resistance to antimicrobial drugs of the following groups: beta-lactams, tetracycline, aminoglycosides, and sulfonamides. This should be taken into account by doctors when prescribing antibacterial therapy. Conclusions. The data indicate disturbingly high levels of antimicrobial resistance in isolates collected from patients at a private clinic in the city of Kharkiv.

Estimating the subnational prevalence of antimicrobial resistant Salmonella enterica serovars Typhi and Paratyphi A infections in 75 endemic countries, 1990-2019: a modelling study.

Enteric fever, a systemic infection caused by Salmonella enterica serovars Typhi and Paratyphi A, remains a major cause of morbidity and mortality in low-income and middle-income countries. Enteric fever is preventable through the provision of clean water and adequate sanitation and can be successfully treated with antibiotics. However, high levels of antimicrobial resistance (AMR) compromise the effectiveness of treatment. We provide estimates of the prevalence of AMR S Typhi and S Paratyphi A in 75 endemic countries, including 30 locations without data. We used a Bayesian spatiotemporal modelling framework to estimate the percentage of multidrug resistance (MDR), fluoroquinolone non-susceptibility (FQNS), and third-generation cephalosporin resistance in S Typhi and S Paratyphi A infections for 1403 administrative level one districts in 75 endemic countries from 1990 to 2019. We incorporated data from a comprehensive systematic review, public health surveillance networks, and large multicountry studies on enteric fever. Estimates of the prevalence of AMR and the number of AMR infections (based on enteric fever incidence estimates by the Global Burden of Diseases study) were produced at the country, super-region, and total endemic area level for each year of the study. We collated data from 601 sources, comprising 184 225 isolates of S Typhi and S Paratyphi A, covering 45 countries over 30 years. We identified a decline of MDR S Typhi in south Asia and southeast Asia, whereas in sub-Saharan Africa, the overall prevalence increased from 6·0% (95% uncertainty interval 4·3-8·0) in 1990 to 72·7% (67·7-77·3) in 2019. Starting from low levels in 1990, the prevalence of FQNS S Typhi increased rapidly, reaching 95·2% (91·4-97·7) in south Asia in 2019. This corresponded to 2·5 million (1·5-3·8) MDR S Typhi infections and 7·4 million (4·7-11·3) FQNS S Typhi infections in endemic countries in 2019. The prevalence of third-generation cephalosporin-resistant S Typhi remained low across the whole endemic area over the study period, except for Pakistan where prevalence of third-generation cephalosporin resistance in S Typhi reached 61·0% (58·0-63·8) in 2019. For S Paratyphi A, we estimated low prevalence of MDR and third-generation cephalosporin resistance in all endemic countries, but a drastic increase of FQNS, which reached 95·0% (93·7-96·1; 3·5 million [2·2-5·6] infections) in 2019. This study provides a comprehensive and detailed analysis of the prevalence of MDR, FQNS, and third-generation cephalosporin resistance in S Typhi and S Paratyphi A infections in endemic countries, spanning the last 30 years. Our analysis highlights the increasing levels of AMR in this preventable infection and serves as a resource to guide urgently needed public health interventions, such as improvements in water, sanitation, and hygiene and typhoid fever vaccination campaigns. Fleming Fund, UK Department of Health and Social Care; Wellcome Trust; and Bill and Melinda Gates Foundation.

Microbiological Survey and Evaluation of Antimicrobial Susceptibility Patterns of Microorganisms Obtained from Suspect Cases of Canine Otitis Externa in Gran Canaria, Spain.

A retrospective study of microbiological laboratory results from 2020 to 2022, obtained from a veterinary diagnostic laboratory of the island of Gran Canaria, Spain, focused on canine otitis cases, was performed. The objective of this study was to analyze the pathogen distribution, antimicrobial susceptibility, prevalence of multidrug resistant phenotypes and the role of coinfections in otitis cases in order to provide up-to-date evidence that could support effective control strategies for this prevalent pathology. A total of 604 submissions were processed for the diagnosis of canine external otitis. Of the samples analyzed, 472 were positive for bacterial or fungal growth (78.1%; 95% CI: 74.8-81.4%). A total of 558 microbiological diagnoses were obtained, divided in 421 bacterial (75.4%; 95% CI: 71.8-79.0%) and 137 fungal (24.6%; 95% CI: 20.9-28.1%) identifications. Staphylococcus pseudintermedius, Malassezia pachydermatis and Pseudomonas aeruginosa were the most prevalent microorganisms detected in clinical cases of otitis. High level antimicrobial resistance was found for Pseudomonas aeruginosa (30.7%), Proteus mirabilis (29.4%), Staphylococcus pseudintermedius (25.1%) and Escherichia coli (19%). Multidrug-resistant phenotypes were observed in 47% of the bacteria isolated. In addition, a 26.4% prevalence of methicillin-resistant Staphylococcus pseudintermedius was detected. The high prevalence of antimicrobial resistant phenotypes in these bacteria highlights the current necessity for constant up-to-date prevalence and antimicrobial susceptibility data that can support evidence-based strategies to effectively tackle this animal and public health concern.

Trends and predictors of antimicrobial resistance among patients with urinary tract infections at a tertiary hospital facility in Alexandria, Egypt: a retrospective record-based classification and regression tree analysis

BackgroundThe incidence of Antimicrobial Resistance (AMR) in uropathogens varies between countries and over time. We aim to study the patterns and potential predictors of AMR among patients with UTIs admitted to the Urology Department at Alexandria University Hospital.MethodsAn observational retrospective record-based study was conducted on all patients admitted to the Urology department from October 2018 to October 2020. Data collected from patients’ records included: demographic data, diagnosis on admission, history of chronic diseases, duration of hospital stay, insertion of a urinary catheter, duration of the catheter in days, history of the use of antibiotics in the previous three months, and history of urinary tract operations. If UTI was documented, we abstracted data about urine culture, use of antibiotics, results of urine cultures, type of organism isolated, and sensitivity to antibiotics. We conducted a multivariable logistic regression model. We performed Classification and Regression Tree Analysis (CART) for predicting risk factors associated with drug resistance among patients with UTI. Data were analyzed using SPSS statistical package, Version 28.0, and R software (2022).ResultsThis study encompassed 469 patients with UTIs. The most commonly isolated bacterium was Escherichia coli, followed by Klebsiella pneumoniae. Multidrug resistance (MDR) was found in 67.7% (149/220) of patients with hospital-acquired UTIs and in 49.4% (83/168) of patients with community-acquired UTIs. Risk factors independently associated with antimicrobial resistance according to logistic regression analysis were the use of antibiotics within three months (AOR = 5.2, 95% CI 2.19–12.31), hospital-acquired UTI (AOR = 5.7, 95% CI 3.06–10.76), diabetes mellitus (AOR = 3.8, 95% CI 1.24–11.84), age over 60 years (AOR = 2.9, 95% CI 1.27–6.72), and recurrent UTI (AOR = 2.6, 95% CI 1.08–6.20). Classification and regression tree (CART) analysis revealed that antibiotic use in the previous three months was the most significant predictor for developing drug resistance.ConclusionThe study concluded a high level of antimicrobial resistance as well as significant MDR predictors among hospitalized patients with UTIs. It is vital to assess resistance patterns in our hospitals frequently to improve rational antibiotic treatment as well as to sustain antimicrobial stewardship programs and a rational strategy in the use of antibiotics. Empirical therapy for UTI treatment should be tailored to the potential pathogens’ susceptibility to ensure optimal treatment. Strategic antibiotic use is essential to prevent further AMR increases. Further research should focus on suggesting new biological systems or designed drugs to combat the resistance of UTI pathogens.

A novel depolymerase specifically degrades the K62-type capsular polysaccharide of Klebsiella pneumoniae

Carbapenem-resistant Klebsiella pneumoniae (CRKP) is emerging as an imminent threat to worldwide public health because of its high level of antimicrobial resistance, which can result in severe and challenging-to-treat infections. The capsular polysaccharide (CPS) of bacteria is well acknowledged as a crucial virulence factor that shields K. pneumoniae from the host’s innate immune system. Polysaccharide depolymerase, encoded by bacteriophages, can hydrolyze the CPS of K. pneumoniae and may be a promising approach for treating K. pneumoniae infections. In this study, we identified a novel K62-type capsule depolymerase (K62-Dpo30) from the K. pneumoniae phage SH-KP2492. We demonstrated that the K62-Dpo30 depolymerase could specifically degrade the CPS of K62-type K. pneumoniae strains and promote the susceptibility of K62-type K. pneumoniae strains to serum and neutrophil killing. Furthermore, our findings highlight the potential of the K62-Dpo30 depolymerase as a reliable K. pneumoniae capsular typing tool.

Examining the role of Acinetobacter baumannii plasmid types in disseminating antimicrobial resistance

Acinetobacter baumannii is a Gram-negative pathogen responsible for hospital-acquired infections with high levels of antimicrobial resistance (AMR). The spread of multidrug-resistant A. baumannii strains has become a global concern. Spread of AMR in A. baumannii is primarily mediated by the acquisition of AMR genes through mobile genetic elements, such as plasmids. Thus, a comprehensive understanding of the role of different plasmid types in disseminating AMR genes is essential. Here, we analysed the distribution of plasmid types, sampling sources, geographic locations, and AMR genes carried on A. baumannii plasmids. A collection of 813 complete plasmid entries was collated and analysed. We previously devised an Acinetobacter Plasmid Typing (APT) scheme where rep types were defined using 95% nucleotide identity and updated the scheme in this study by adding 12 new rep/Rep types (90 types in total). The APT scheme now includes 178 unique Rep variants belonging to three families: R1, R3, and RP. R1-type plasmids were mainly associated with global clone 1 strains, while R3-type plasmids were highly diverse and carried a variety of AMR determinants including carbapenem, aminoglycoside and colistin resistance genes. Similarly, RP-type and rep-less plasmids were identified as important carriers of aminoglycoside and carbapenem resistance genes. This study provides a comprehensive overview of the distribution and characteristics of A. baumannii plasmids, shedding light on their role in the dissemination of AMR genes. The updated APT scheme and findings enhance our understanding of the molecular epidemiology of A. baumannii and provide valuable insights for surveillance and control strategies.

Mycoplasma genitalium infection among gay, bisexual and other men who have sex with men in Montréal, Canada.

The bacteria Mycoplasma genitalium has been identified as a causative agent of urethritis in men, especially in gay, bisexual and other men who have sex with men (gbMSM). Canadian clinic-based data have identified a high prevalence of M. genitalium and resistance to antibiotic treatments. This article estimates the prevalence of M. genitalium infections among Montréal gbMSM, explores correlates for M. genitalium infection and estimates the prevalence of mutations associated with antimicrobial resistance (AMR). Engage Cohort Study is a multi-site longitudinal study on sexually active gbMSM, aged 16 years and older, recruited via respondent-driven sampling in Montréal, Toronto and Vancouver. Participants completed a questionnaire on behaviour and were tested for sexually transmitted and blood-borne infections at each visit. For this sub-study, Montréal participants with a follow-up visit that occurred between November 2018 and November 2019 were included. A total of 2,064 samples were provided by 716 participants. Prevalence of M. genitalium infection was 5.7% at rectal and/or urethral sites, 4.0% at rectal site and 2.2% at urethral site. Correlates for M. genitalium infection were younger age and reporting six or more sexual partners in the past six months. Prevalence of macrolide resistance associated mutations (MRAM), quinolone resistance associated mutations (QRAM) and either MRAM or QRAM, was 82%, 29% and 85%, respectively. This first population-based study among gbMSM in Canada documents a high prevalence of urethral and rectal M. genitalium infection and high levels of AMR. Our results highlight the importance of access to testing and AMR detection when indicated.

Global trends in antimicrobial resistance on organic and conventional farms

The important hypothesis that organic livestock management reduces the prevalence of antimicrobial resistance is either fiercely supported or bitterly contested. Yet, empirical evidence supporting this view remains fragmentary, in part because relationships between antimicrobial use and drug resistance vary dramatically across contexts, hosts, pathogens, and country-specific regulations. Here, we synthesize global policies and definitions of ‘organic’ and ask if organic farming results in notable reductions in the prevalence of antimicrobial resistance when directly examined alongside conventional analogs. We synthesized the results of 72 studies, spanning 22 countries and five pathogens. Our results highlight substantial variations in country-specific policies on drug use and definitions of ‘organic’ that hinder broad-scale and generalizable patterns. Overall, conventional farms had slightly higher levels of antimicrobial resistance (28%) relative to organic counterparts (18%), although we found significant context-dependent variation in this pattern. Notably, environmental samples from organic and conventional farms often exhibited high levels of resistance to medically important drugs, underscoring the need for more stringent and consistent policies to control antimicrobial contaminants in the soil (particularly on organic farms, where the application of conventional manure could faciliate the spread antimicrobial resistance). Taken together, these results emphasize the challenges inherent in understanding links between drug use and drug resistance, the critical need for global standards governing organic policies, and greater investment in viable alternatives for managing disease in livestock.

Analysis of Blood Cultures of Patients Presenting to the Emergency Department in a Tertiary Healthcare Hospital in Mumbai

Aim and objectives: Analysis of blood cultures taken from patients attending emergency departments is an important exercise in determining the common pathogens prevalent in the region. The distribution of these infective pathogens keeps changing over time, and the rise in antimicrobial-resistant pathogens makes it difficult to routinely conduct effective empirical broad-spectrum antimicrobial therapy. This study aimed to analyse the results of blood cultures obtained from patients presenting to the Emergency Department of a Tertiary Healthcare Hospital in Mumbai and provide updated and detailed information on the distribution of causative pathogens in adult sepsis and study their antibiotic-susceptibility pattern. Materials and methods: A hospital-based prospective cross-sectional study of 121 positive blood culture reports was conducted at the Department of Emergency Medicine, Fortis Hospital Mulund, Mumbai, which included all adult (age > 18 yrs) suspected sepsis patients arriving to the Emergency Department whose blood cultures were sent from the Emergency Department from January 2021 to December 2021. Results: The study showed that mean age of the study cases was 59.3 years with 59.5% cases that belonged to the elderly age group with a male predominance (56.2% males–43.8% females). Overall, Gram-negative isolates were seen in 95% cases, while Gram-positive isolates were seen in only 1.7% cases. The most common organism isolated from cases with sepsis was Escherichia coli (45.5%) followed by Klebsiella (13.2%), Salmonella (10.7%), Stenotrophomonas (7.4%) and Pseudomonas (5%). Among Gram-positive organisms, Staphylococcus aureus was the most common organism isolated (1.7%). Escherichia coli isolates showed poor sensitivity towards fluoroquinolones and cephalosporins while good sensitivity towards aminoglycosides, carbapenems and combination drugs like Cefoperazone and Sulbactam and Piperacillin and Tazobactam. These findings suggest that Gram-negative organisms are the most common isolates observed in this study, with E. coli being the predominant pathogen followed by Klebsiella. High-level antimicrobial resistance was observed in sepsis cases for commonly used antimicrobials like fluoroquinolones and cephalosporins.

Coverage gaps in empiric antibiotic regimens used to treat serious bacterial infections in neonates and children in Southeast Asia and the Pacific

High levels of antimicrobial resistance (AMR) are propagating deaths due to neonatal and paediatric infections globally. This is of particular concern in Southeast Asia and the Pacific, where healthcare resources are constrained and access to newer agents to treat multidrug-resistant pathogens is limited. To assess the coverage provided by commonly prescribed empiric antibiotic regimens for children in low- and middle-income countries in Southeast Asia and the Pacific, we built a weighted incidence syndromic combination antibiogram (WISCA), parameterised using data obtained from a systematic review of published literature incorporating WHO-defined SEARO and WPRO regions in Ovid MEDLINE, EMBASE, Global Health and PubMed. Susceptibility data for bacterial pathogens were extracted to provide coverage estimates for pre-specified antibiotics (aminopenicillins, gentamicin, third-generation cephalosporins and carbapenems), reported at the regional level. 6648 bacterial isolates from 11 countries across 86 papers were included in the Bayesian WISCA model, which weighted bacterial incidence and antimicrobial susceptibility of relevant isolates. Coverage provided by aminopenicillins in neonatal sepsis/meningitis was 26% (80% credible interval: 16-49) whilst gentamicin coverage was 45% (29-62). Third-generation cephalosporin coverage was only 29% (16-49) in neonatal sepsis/meningitis, 51% (38-64) in paediatric sepsis and 65% (51-77) in paediatric meningitis. Carbapenems were estimated to provide the highest coverage: 81% (65-90) in neonatal sepsis/meningitis, 83% (72-90) in paediatric sepsis and 79% (62-91) in paediatric meningitis. These findings reveal alarmingly high rates of resistance to commonly prescribed empirical therapies for neonatal and paediatric sepsis and meningitis in the Asia-Pacific region. This research was funded in whole, or in part, by the Wellcome Trust [220211]. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. PCMW is supported by a National Health and Medical Research Council (NHMRC) Investigator Grant. NHMRC had no involvement in the design or conduct of the research.

Genome-Scale Characterization of Mycobacterium abscessus Complex Isolates from Portugal.

The Mycobacterium abscessus complex (MABC) is an emerging, difficult to treat, multidrug-resistant nontuberculous mycobacteria responsible for a wide spectrum of infections and associated with an increasing number of cases worldwide. Dominant circulating clones (DCCs) of MABC have been genetically identified as groups of strains associated with higher prevalence, higher levels of antimicrobial resistance, and worse clinical outcomes. To date, little is known about the genomic characteristics of MABC species circulating in Portugal. Here, we examined the genetic diversity and antimicrobial resistance profiles of 30 MABC strains isolated between 2014 and 2022 in Portugal. The genetic diversity of circulating MABC strains was assessed through a gene-by-gene approach (wgMLST), allowing their subspecies differentiation and the classification of isolates into DCCs. Antimicrobial resistance profiles were defined using phenotypic, molecular, and genomic approaches. The majority of isolates were resistant to at least two antimicrobials, although a poor correlation between phenotype and genotype data was observed. Portuguese genomes were highly diverse, and data suggest the existence of MABC lineages with potential international circulation or cross-border transmission. This study highlights the genetic diversity and antimicrobial resistance profile of circulating MABC isolates in Portugal while representing the first step towards the implementation of a genomic-based surveillance system for MABC at the Portuguese NIH.

Comparison of contemporary invasive and non-invasive Streptococcus pneumoniae isolates reveals new insights into circulating anti-microbial resistance determinants.

Streptococcus pneumoniae is a major human pathogen with a high burden of disease. Non-invasive isolates (those found in non-sterile sites) are thought to be a key source of invasive isolates (those found in sterile sites) and a reservoir of anti-microbial resistance (AMR) determinants. Despite this, pneumococcal surveillance has almost exclusively focused on invasive isolates. We aimed to compare contemporaneous invasive and non-invasive isolate populations to understand how they interact and identify differences in AMR gene distribution. We used a combination of whole-genome sequencing and phenotypic anti-microbial susceptibility testing and a data set of invasive (n = 1,288) and non-invasive (n = 186) pneumococcal isolates, collected in Victoria, Australia, between 2018 and 2022. The non-invasive population had increased levels of antibiotic resistance to multiple classes of antibiotics including beta-lactam antibiotics penicillin and ceftriaxone. We identified genomic intersections between the invasive and non-invasive populations and no distinct phylogenetic clustering of the two populations. However, this analysis revealed sub-populations overrepresented in each population. The sub-populations that had high levels of AMR were overrepresented in the non-invasive population. We determined that WamR-Pneumo was the most accurate in silico tool for predicting resistance to the antibiotics tested. This tool was then used to assess the allelic diversity of the penicillin-binding protein genes, which acquire mutations leading to beta-lactam antibiotic resistance, and found that they were highly conserved (≥80% shared) between the two populations. These findings show the potential of non-invasive isolates to serve as reservoirs of AMR determinants.

A stochastic model of antibiotic misuse, economy, and drug resistance: relating mutant extinction probability to socioeconomic and epidemiological factors

ABSTRACT Controlling antibiotic drug resistance requires understanding extinction and emergence mechanisms of emerging bacteria. Selective pressure from prolonged antibiotic misuse may cause high-level antimicrobial resistance. Self-medication and other socioeconomic factors reduce antibiotic use, accelerating the emergence and extinction of resistant pathogens through stochastic fluctuation. This continuous antibiotic self-medication exposes individuals and communities to antibiotic resistance, especially in low- and lower-middle-income countries, according to current literature. We developed a stochastic drug-resistance model that integrates socio-economic growth and antibiotic use to study extinction and strain establishment in this paper. We analytically derived the extinction threshold using the multi-type branching process and obtained pathogen extinction conditions that match numerical experiments. The model's sensitivity analysis identifies extinction dynamics' key parameters. Our results show that higher income, awareness, and lower antibiotic use may increase the chance of extinction by reducing antibiotic misuse, along with strain transmission potential. These analyses may help public health policymakers combat drug resistance.