Pre- and post-COVID-19 antimicrobial resistance profile of bacterial pathogens, a comparative study in a tertiary hospital.

INTRODUCTION: Antimicrobial resistance (AMR) is a natural evolutionary process in bacteria that is accelerated by selection pressure from the frequent and irrational use of antimicrobial drugs. This study aimed to determine the variations in AMR patterns of priority bacterial pathogens at a tertiary care hospital in the Gaza Strip during pre- and post-COVID-19 pandemic. METHODOLOGY: This is a retrospective observational study to determine the AMR patterns of bacterial pathogens at a tertiary hospital in the Gaza Strip in the post-COVID-19 pandemic period compared to the pre-COVID-19 period. Positive-bacterial culture data of 2039 samples from pre-COVID-19 period and 1827 samples from post-COVID-19 period were obtained from microbiology laboratory records. These data were analysed and compared by Chi square test using Statistical Package for Social Sciences (SPSS) Program. RESULTS: Gram-positive and Gram-negative bacterial pathogens were isolated. Escherichia coli was the most prevalent in both study periods. The overall AMR rate was high. There was a statistically significant increase in resistance to cloxacillin, erythromycin, cephalexin, co-trimoxazole and amoxicillin/clavulanic acid in the post-COVID-19 period compared to pre-COVID-19 period. There was also a significant decrease in resistance to cefuroxime, cefotaxime, gentamicin, doxycycline, rifampicin, vancomycin and meropenem in the post-COVID-19 period. CONCLUSIONS: During the COVID-19 pandemic, the AMR rates of restricted and noncommunity-used antimicrobials declined. However, there was an increase in AMR to antimicrobials used without medical prescription. Therefore, restriction on the sale of antimicrobial drugs by community pharmacies without a prescription, hospital antimicrobial stewardship and awareness about the dangers of extensive use of antibiotics are recommended.

Impact of COVID-19 on healthcare-associated infections: Antimicrobial consumption does not follow antimicrobial resistance.

BACKGROUND: This study aimed to analyze the Healthcare-Associated Infections (HAI) rates and antimicrobial consumption in Intensive Care Units (ICU) in São Paulo city during the COVID-19 pandemic and compare them with the pre-pandemic period. METHODS: This cohort included all hospitals that reported HAI rates (Central-Line-Associated Bloodstream Infection ‒ CLABSI and Ventilator-Associated Pneumonia ‒ VAP), the proportion of microorganisms that caused CLABSI, the proportion of resistant microorganisms, and antimicrobial consumption from January 2017 ‒ December 2020. Hospitals were stratified by the number of beds, Central Venous Catheter (CVC) utilization rate, Mechanical-Ventilation (MV) utilization rate, and type of funding. Statistical analyses were based on time-series plots and regression models. RESULTS: 220 ICUs were included. The authors observed an abrupt increase in CLABSI rates after the pandemic onset. High CLABSI rates during the pandemic were associated with hospital size, funding (public and non-profit private), and low CVC use (≤ 50%). An increase in VAP rates was associated with public hospitals, and high MV use (> 35%). The susceptibility profile of microorganisms did not differ from that of the pre-pandemic period. polymyxin, glycopeptides, and antifungal use increased, especially in COVID-19 ICUs. CONCLUSIONS: HAI increased during COVID-19. The microorganisms' susceptibility profile did not change with the pandemic, but the authors observed a disproportionate increase in large-spectrum antimicrobial drug use.

Measuring the global response to antimicrobial resistance, 2020-21: a systematic governance analysis of 114 countries.

BACKGROUND: Understanding strategic commitments and policy responses to overcome antimicrobial resistance at the national, regional, and global levels is required to evaluate current progress and direct future planning. National action plans (NAPs) are the primary mechanism for guiding national strategy and action for antimicrobial resistance governance. Although several NAPs have been developed, no comprehensive content analysis of these plans exists. Using a governance framework, we aimed to assess all publicly available NAPs on antimicrobial resistance. METHODS: We systematically reviewed the contents of NAPs on antimicrobial resistance from 114 countries, applying a governance framework containing 18 domains and 54 indicators in three integral areas: policy design, implementation tools, and monitoring and evaluation. As well as manually searching NAPs and doing online and literature searches that were relevant to specific indicators from repository inception to June 1, 2022, several data sources were used to generate scores, including the Tripartite Antimicrobial Resistance Country Self-Assessment Survey, the Global Antimicrobial Resistance and Use Surveillance System, the Global Antimicrobial Resistance Research and Development Hub, and various WHO datasets. NAPs were included if the country had also submitted the NAP to the Tripartite Antimicrobial Resistance Country Self-Assessment Survey 2020-21, if the NAP was retrievable through a publicly accessible database or website, and if the NAP was either published in English or eligible for machine translation. Three researchers independently reviewed each NAP and were initially blinded to the evaluations of other researchers. They generated a score using a quantification system for each of 54 indicators. The Cochrane protocol for ensuring reliability was followed. The three researchers were then unblinded and met to resolve any disagreements in scoring to reach a consensus agreement. In each case of discrepancy, consensus was reached between the researchers. We developed criteria to standardise the process of quantifying each indicator. We also weighted and collated relevant national data from various sources to generate composite scores concordant with the key governance areas. We transformed these data to a scale of 0 (worst) to 100 (best), ranked countries on the basis of their mean scores, and used descriptive statistics to analyse global and regional trends. FINDINGS: 306 NAPs were identified and 114 were eligible for analysis. Between 2020 and 2021, the mean antimicrobial resistance governance score was 51 (SD 14). Norway had the highest governance score (mean 85 [SD 32]), and the Federated States of Micronesia had the lowest governance score (28 [37]). The highest scoring domain was participation (83 [16]), and the lowest scoring domains were accountability (30 [18]) and feedback mechanism (30 [25]). Domains relating to policy design (55 [13]) and implementation tools (54 [17]) scored similarly, whereas monitoring and evaluation (38 [20]) efforts were lower. INTERPRETATION: International efforts to control antimicrobial resistance varied considerably between countries. Monitoring and evaluation efforts need improving for continuous understanding of national and international progress. International response might not be commensurate with the scale and severity of antimicrobial resistance. FUNDING: None.

Comparison of Antibiotic Resistance Profiles of Salmonella Isolates from Retail Meats in Nanchang, China, in Two Periods.

Salmonella is one of the most important foodborne pathogens. In this article, a total of 160 Salmonella isolates recovered from retail meats in June-July 2018 (before COVID-19 outbreak) and December 2020-April 2021 (after COVID-19 outbreak) in Nanchang, China, were characterized for serotyping, antimicrobial susceptibility, and specific resistance gene screening. The prevalence of Salmonella Typhimurium increased from 5.4% in 2018 to 19.1% in 2021, and Salmonella Enteritidis increased from 3.3% in 2018 to 8.8% in 2021. Compared with those in June-July 2018, Salmonella isolates in December 2020-April 2021 demonstrated a significant increase in resistance to 13 tested antibiotics except for doxycycline and nitrofurantoin (p < 0.05). The Salmonella isolates in December 2020-April 2021 showed a higher presence of plasmid-mediated quinolone resistance genes (qnrA, qnrB, and qnrS), and mutations in the quinolone resistance-determining region (gyrA Asp87Asn, gyrA Asp87Tyr, parC Thr57Ser, and parC Ser80Ile). Whole-genome sequencing was used to analyze four polymyxin B-resistant strains. Some common mutation sites in eptC and micA were found in the four strains. Based on the data in this article, it indicated that antibiotic resistance was facilitated and more gene mutations related to quinolone resistance were developed.

The clinical significance of macrolide resistance in pediatric Mycoplasma pneumoniae infection during COVID-19 pandemic.

Background: Mycoplasma pneumoniae (MP) is a commonly occurring pathogen causing community-acquired pneumonia (CAP) in children. The global prevalence of macrolide-resistant MP (MRMP) infection, especially in Asian regions, is increasing rapidly. However, the prevalence of MRMP and its clinical significance during the COVID-19 pandemic is not clear. Methods: This study enrolled children with molecularly confirmed macrolide-susceptible MP (MSMP) and MRMP CAP from Beijing Children's Hospital Baoding Hospital, Capital Medical University between August 2021 and July 2022. The clinical characteristics, laboratory findings, chest imaging presentations, and strain genotypes were compared between patients with MSMP and MRMP CAP. Results: A total of 520 hospitalized children with MP-CAP were enrolled in the study, with a macrolide resistance rate of 92.7%. Patients with MRMP infection exhibited more severe clinical manifestations (such as dyspnea and pleural effusion) and had a longer hospital stay than the MSMP group. Furthermore, abnormal blood test results (including increased LDH and D-dimer) were more common in the MRMP group (P<0.05). Multilocus variable-number tandem-repeat analysis (MLVA) was performed on 304 samples based on four loci (Mpn13-16), and M3562 and M4572 were the major types, accounting for 74.0% and 16.8% of the strains, respectively. The macrolide resistance rate of M3562 strains was up to 95.1%. Conclusion: The prevalence of MRMP strains in hospitalized CAP patients was extremely high in the Baoding area, and patients infected with MRMP strains exhibited more severe clinical features and increased LDH and D-dimer. M3562 was the predominant resistant clone.

Personal Data for Public Benefit: The Regulatory Determinants of Social Licence for Technologically Enhanced Antimicrobial Resistance Surveillance.

Technologically enhanced surveillance systems have been proposed for the task of monitoring and responding to antimicrobial resistance (AMR) in both human, animal and environmental contexts. The use of these systems is in their infancy, although the advent of COVID-19 has progressed similar technologies in response to that pandemic. We conducted qualitative research to identify the Australian public's key concerns about the ethical, legal and social implications of an artificial intelligence (AI) and machine learning-enhanced One Health AMR surveillance system. Our study provides preliminary evidence of public support for AI/machine learning-enhanced One Health monitoring systems for AMR, provided that three main conditions are met: personal health care data must be deidentified; data use and access must be tightly regulated under strong governance; and the system must generate high-quality, reliable analyses to guide trusted health care decision-makers.

Projecting the development of antimicrobial resistance in Neisseria gonorrhoeae from antimicrobial surveillance data: a mathematical modelling study.

BACKGROUND: The World Health Organization recommends changing the first-line antimicrobial treatment for gonorrhoea when ≥ 5% of Neisseria gonorrhoeae cases fail treatment or are resistant. Susceptibility to ceftriaxone, the last remaining treatment option has been decreasing in many countries. We used antimicrobial resistance surveillance data and developed mathematical models to project the time to reach the 5% threshold for resistance to first-line antimicrobials used for N. gonorrhoeae. METHODS: We used data from the Gonococcal Resistance to Antimicrobials Surveillance Programme (GRASP) in England and Wales from 2000-2018 about minimum inhibitory concentrations (MIC) for ciprofloxacin, azithromycin, cefixime and ceftriaxone and antimicrobial treatment in two groups, heterosexual men and women (HMW) and men who have sex with men (MSM). We developed two susceptible-infected-susceptible models to fit these data and produce projections of the proportion of resistance until 2030. The single-step model represents the situation in which a single mutation results in antimicrobial resistance. In the multi-step model, the sequential accumulation of resistance mutations is reflected by changes in the MIC distribution. RESULTS: The single-step model described resistance to ciprofloxacin well. Both single-step and multi-step models could describe azithromycin and cefixime resistance, with projected resistance levels higher with the multi-step than the single step model. For ceftriaxone, with very few observed cases of full resistance, the multi-step model was needed to describe long-term dynamics of resistance. Extrapolating from the observed upward drift in MIC values, the multi-step model projected ≥ 5% resistance to ceftriaxone could be reached by 2030, based on treatment pressure alone. Ceftriaxone resistance was projected to rise to 13.2% (95% credible interval [CrI]: 0.7-44.8%) among HMW and 19.6% (95%CrI: 2.6-54.4%) among MSM by 2030. CONCLUSIONS: New first-line antimicrobials for gonorrhoea treatment are needed. In the meantime, public health authorities should strengthen surveillance for AMR in N. gonorrhoeae and implement strategies for continued antimicrobial stewardship. Our models show the utility of long-term representative surveillance of gonococcal antimicrobial susceptibility data and can be adapted for use in, and for comparison with, other countries.

[The problem of formation of new risks of medicinal resistance of patients with tuberculosis in condition of active use of antibiotics by population under COVID-19].

In pandemic conditions, situation of active and uncontrolled use by population of antimicrobial preparations treating COVID-19 occurs. So, new risks of development of medication resistance among patients with various infectious diseases, tuberculosis included, appear. The purpose of the study is to characterize prevalence of antimicrobial preparations use by population in relationship with development of medication resistance in patients with tuberculosis during COVID-19 pandemic. Material and methods. The analysis of sales of antimicrobial medicines was implemented on the basis of published official data from the joint-stock company DSM Group presenting monthly audit of the Russian pharmaceutical market. The determination of primary antibiotic resistance was carried out in 2018-2020 on 3312 patients with tuberculosis. The modified method of proportions on liquid nutrient medium in system with automated accounting of microorganisms growth, the method of absolute concentrations and the method of polymerase chain reaction with real-time detection were applied. The results of the study. It was established that the most demanding antimicrobial medications among population were ceftriaxone, azithromycin, levofloxacin, moxifloxacin, azithromycin. At the same time, the maximum increase in sales in 2020 up to 150% as compared with of 2019 was determined in medications derived from quinolone moxifloxacin, levofloxacin, which began to be used in treatment of coronavirus infection. At the same time, these medications are traditionally used in tuberculosis treatment. But in 2020, alarming trend was established that limits treatment of tuberculosis patients. The primary resistance of mycobacteria was also established in newly diagnosed tuberculosis patients, also for the same antimicrobial medications of quinolone derivatives, and increasing in proportion of patients with primary medication resistance to levofloxacin, moxifloxacin in 2020 as compared to 2018 was 189-480%. At the same time, increasing of resistance to other antibiotics made up to 60.8% on average. Conclusion. The study results imply alarming scenario of medication resistance shifts towards very virulent and highly medication-resistant genotypes. This trend can result in conditions of successful transmission of deadly medication-resistant mutants that can seriously undermine effectiveness of implemented programs of struggle with tuberculosis worldwide.

The state of current research on COVID-19 and antibiotic use: global implications for antimicrobial resistance.

BACKGROUND: During the initial stages of the coronavirus disease 2019 (COVID-19) pandemic, the administration of antibiotics to patients was prevalent in numerous countries. Despite this, the rising threat of antimicrobial resistance (AMR) presents a significant public health concern. The escalation of AMR has been exacerbated by the ongoing COVID-19 pandemic. Against this backdrop, the primary aim of this study was to conduct a bibliometric and visual analysis of research pertaining to the use of antibiotics in COVID-19. METHODS: This study examined documents indexed in Scopus between 2020 and 2022. To visualize the trends and hotspots of research related to antibiotics and COVID-19, as well as collaborative networks, the researcher utilized version 1.6.18 of the VOSviewer software. Scopus data were analysed to extract information on the types of publications, annual research output, countries, institutions, funding agencies, journals, citations, and highly cited references. Microsoft Excel 2019 was used to process and organize the extracted data. RESULTS: This study analysed 1137 documents related to COVID-19 and antibiotics and found that the number of publications increased from 130 in 2020 to 527 in 2022. These publications included 777 (68.34%) articles and 205 (18.03%) reviews. The top five countries in terms of scientific production were the United States (n = 231; 20.32%), the United Kingdom (n = 156; 13.72%), China (n = 101; 8.88%), India (n = 100; 8.8%), and Italy (n = 63; 5.54%), and the leading institutions were Imperial College London (n = 21; 1.85%), University of Oxford (n = 20; 1.76%), and University College London (n = 15; 1.32%). The National Natural Science Foundation of China provided funding for the highest number of articles (n = 48; 4.22%), followed by the National Institutes of Health (n = 32; 2.81%). The most productive journals were Antibiotics (n = 90; 7.92%), Journal of Antimicrobial Chemotherapy (n = 30; 2.64%), and Infection Control and Hospital Epidemiology (n = 26; 2.29%). Finally, the research hotspots identified in this study were 'antimicrobial stewardship during the COVID-19 outbreak' and 'implications of the COVID-19 pandemic on the emergence of antimicrobial resistance.' CONCLUSIONS: This is the first bibliometric analysis of COVID-19-related research on antibiotics. Research was carried out in response to global requests to increase the fight against AMR and awareness of the issue. More restrictions on the use of antibiotics are urgently needed from policy makers and authorities, more so than in the current situation.

Adopting a Global AMR Target within the Pandemic Instrument Will Act as a Catalyst for Action.

Ensuring that life-saving antimicrobials remain available as effective treatment options in the face of rapidly rising levels of antimicrobial resistance will require a massive and coordinated global effort. Setting a collective direction for progress is the first step towards aligning global efforts on AMR. This process would be greatly accelerated by adopting a unifying global target - a well-defined global target that unites all countries and sectors. The proposed pandemic instrument - with its focus on prevention, preparedness and response - represents an ideal opportunity to develop and adopt a unifying global target that catalyzes global action on AMR. We propose three key characteristics of a unifying global target for AMR that - if embedded within the pandemic preparedness instrument - could rally public support, funding, and political commitment commensurate with the scale of the AMR challenge.

Rapid culture-independent loop-mediated isothermal amplification detection of antimicrobial resistance markers from environmental water samples.

Environmental water is considered one of the main vehicles for the transmission of antimicrobial resistance (AMR), posing an increasing threat to humans and animals health. Continuous efforts are being made to eliminate AMR; however, the detection of AMR pathogens from water samples often requires at least one culture step, which is time-consuming and can limit sensitivity. In this study, we employed comparative genomics to identify the prevalence of AMR genes within among: Escherichia coli, Klebsiella, Salmonella enterica and Acinetobacter, using publicly available genomes. The mcr-1, blaKPC (KPC-1 to KPC-4 alleles), blaOXA-48, blaOXA-23 and blaVIM (VIM-1 and VIM-2 alleles) genes are of great medical and veterinary significance, thus were selected as targets for the development of isothermal loop-mediated amplification (LAMP) detection assays. We also developed a rapid and sensitive sample preparation method for an integrated culture-independent LAMP-based detection from water samples. The developed assays successfully detected the five AMR gene markers from pond water within 1 h and were 100% sensitive and specific with a detection limit of 0.0625 µg/mL and 10 cfu/mL for genomic DNA and spiked bacterial cells, respectively. The integrated detection can be easily implemented in resource-limited areas to enhance One Health AMR surveillances and improve diagnostics.

A pandemic within a pandemic? Admission to COVID-19 wards in hospitals is associated with increased prevalence of antimicrobial resistance in two African settings.

BACKGROUND: Patients who develop severe illness due to COVID-19 are more likely to be admitted to hospital and acquire bacterial co-infections, therefore the WHO recommends empiric treatment with antibiotics. Few reports have addressed the impact of COVID-19 management on emergence of nosocomial antimicrobial resistance (AMR) in resource constrained settings. This study aimed to ascertain whether being admitted to a COVID-19 ward (with COVID-19 infection) compared to a non-COVID-19 ward (as a COVID-19 negative patient) was associated with a change in the prevalence of bacterial hospital acquired infection (HAI) species or resistance patterns, and whether there were differences in antimicrobial stewardship (AMS) and infection prevention and control (IPC) guidelines between COVID-19 and non-COVID-19 wards. The study was conducted in Sudan and Zambia, two resource constrained settings with differing country-wide responses to COVID-19. METHODS: Patients suspected of having hospital acquired infections were recruited from COVID-19 wards and non-COVID-19 wards. Bacteria were isolated from clinical samples using culture and molecular methods and species identified. Phenotypic and genotypic resistance patterns were determined by antibiotic disc diffusion and whole genome sequencing. Infection prevention and control guidelines were analysed for COVID-19 and non-COVID-19 wards to identify potential differences. RESULTS: 109 and 66 isolates were collected from Sudan and Zambia respectively. Phenotypic testing revealed significantly more multi-drug resistant isolates on COVID-19 wards in both countries (Sudan p = 0.0087, Zambia p = 0.0154). The total number of patients with hospital acquired infections (both susceptible and resistant) increased significantly on COVID-19 wards in Sudan, but the opposite was observed in Zambia (both p = ≤ 0.0001). Genotypic analysis showed significantly more ß-lactam genes per isolate on COVID-19 wards (Sudan p = 0.0192, Zambia p = ≤ 0.0001). CONCLUSIONS: Changes in hospital acquired infections and AMR patterns were seen in COVID-19 patients on COVID-19 wards compared to COVID-19 negative patients on non-COVID-19 wards in Sudan and Zambia. These are likely due to a potentially complex combination of causes, including patient factors, but differing emphases on infection prevention and control, and antimicrobial stewardship policies on COVID-19 wards were highlighted.

Excessive disinfection aggravated the environmental prevalence of antimicrobial resistance during COVID-19 pandemic.

During COVID-19 pandemic, chemicals from excessive consumption of pharmaceuticals and disinfectants i.e., antibiotics, quaternary ammonium compounds (QACs), and trihalomethanes (THMs), flowed into the urban environment, imposing unprecedented selective pressure to antimicrobial resistance (AMR). To decipher the obscure character pandemic-related chemicals portrayed in altering environmental AMR, 40 environmental samples covering water and soil matrix from surroundings of Wuhan designated hospitals were collected on March 2020 and June 2020. Chemical concentrations and antibiotic resistance gene (ARG) profiles were revealed by ultra-high-performance liquid chromatography-tandem mass spectrometry and metagenomics. Selective pressure from pandemic-related chemicals ascended by 1.4-5.8 times in March 2020 and then declined to normal level of pre-pandemic period in June 2020. Correspondingly, the relative abundance of ARGs under increasing selective pressure was 20.1 times that under normal selective pressure. Moreover, effect from QACs and THMs in aggravating the prevalence of AMR was elaborated by null model, variation partition and co-occurrence network analyses. Pandemic-related chemicals, of which QACs and THMs respectively displayed close interaction with efflux pump genes and mobile genetic elements, contributed >50 % in shaping ARG profile. QACs bolstered the cross resistance effectuated by qacEΔ1 and cmeB to 3.0 times higher while THMs boosted horizon ARG transfer by 7.9 times for initiating microbial response to oxidative stress. Under ascending selective pressure, qepA encoding quinolone efflux pump and oxa-20 encoding ß-lactamases were identified as priority ARGs with potential human health risk. Collectively, this research validated the synergistic effect of QACs and THMs in exacerbating environmental AMR, appealing for the rational usage of disinfectants and the attention for environmental microbes in one-health perspective.

The dynamic change of serotype distribution and antimicrobial resistance of pneumococcal isolates since PCV13 administration and COVID-19 control in Urumqi, China.

Objective: This study aims to analyze the serotype distribution and drug resistance of Streptococcus pneumoniae isolated from children aged 8 days to 7 years in Urumqi, China, between 2014 to 2021, during which PCV13 was introduced in the private sector's immunization program and COVID-19 control was administrated in the last 2 years. Methods: Serotypes of S. pneumoniae isolates were determined by Quellung reaction, and their susceptibility against 14 antimicrobials were tested. According to the start year of PCV13 administration (2017) and COVID-19 control (2020), the study period was divided into three stages: 2014-2015, 2018-2019, and 2020-2021. Results: A total of 317 isolates were involved in this study. The most common serotypes were type 19F (34.4%), followed by 19A (15.8%), 23F (11.7%), 6B (11.4%), and 6A(5.0%). The coverage rate of both PCV13 and PCV15 was 83.0%. The coverage of PCV20 was a little higher at 85.2%. The resistance rate against penicillin was 28.6% according to the breakpoints of oral penicillin, which would reach up to 91.8% based on the breakpoints of parenteral penicillin for meningitis. The resistance rates to erythromycin, clindamycin, tetracycline, and sulfamethoxazole-trimethoprim were 95.9%, 90.2%, 88.9%, and 78.8%, respectively. The PCV13 isolate was more resistant to penicillin than the non-PCV13 ones. There was not any significant change found in the serotype distribution since the PCV13 introduction and the COVID-19 control. The resistance rate against oral penicillin slightly elevated to 34.5% in 2018-2019 from 30.7% in 2014-2015 and then decreased significantly to 18.1% in 2020-2021 (χ 2 = 7.716, P < 0.05), while the resistance rate to ceftriaxone (non-meningitis) continuously declined from 16.0% in 2014-2015 to 1.4% in 2018-2019 and 0% in 2020-2021 (Fisher = 24.463, P < 0.01). Conclusion: The common serotypes of S. pneumoniae isolated from children in Urumqi were types 19F, 19A, 23F, 6B, and 6A, which we found to have no marked change since the PCV13 introduction and the COVID-19 control However, the resistance rate to oral penicillin and ceftriaxone significantly declined in the COVID-19 control stage.

Trends in pediatric tuberculosis diagnosis utilizing xpert Mycobacterium tuberculosis/Rifampicin in a poor-resource, high-burden region: A retrospective, multicenter study.

Background: The burden of tuberculosis (TB) in Nigeria remains high, and diagnosis in children, a challenge. We aimed to document yield from Xpert Mycobacterium tuberculosis/rifampicin (MTB/RIF) as a mode of diagnosis for children and the variables associated with a positive result. Methods: This was a retrospective review of TB treatment cards of children aged 0-15 years managed from January 2017 to December 2021 across six public tertiary institutions in Nigeria. The data obtained were analyzed using the descriptive and inferential statistics. Statistical significance was set at P < 0.05. Results: Of 1489 children commenced on TB treatment, 1463 (97.9%) had sufficient data for analysis the median age of study participants was 60 months (interquartile range [IQR]: 24, 120), and 814 (55.6%) were males. Xpert MTB/RIF test was performed in 862 (59%) participants and MTB was detected in 171 (19.8%) participants, of which 6.4% (11/171) had RIF resistance reported. The use of Xpert MTB/RIF rose from 56.5% in 2017 to 64% in 2020 but fell to 60.9% in 2021. We found that older age (> 10 years), the presence of pulmonary TB (PTB), and a negative human immunodeficiency virus (HIV) status were associated with positive Xpert MTB/RIF tests (P = 0.002, 0.001, and 0.012, respectively). Conclusion: The utilization of Xpert MTB/RIF in children increased in the years before the COVID-19 pandemic. Factors associated with MTB detection by Xpert MTB/RIF include older age, the presence of PTB, and a negative HIV status. Clinical and radiological evaluation continues to play vital roles in the diagnosis of childhood TB in Nigeria.

Antimicrobial Resistance Must Be Included in the Pandemic Instrament to Ensure Future Global Pandemic Readiness.

Governments can practically and efficiently address zoonoses and AMR -- within the text of the new pandemic instrument. We map the overlaps between the efforts needed to address both pandemic threats, including (a) equitable access to medical countermeasures, (b) globally integrated One Health surveillance and monitoring systems, (c) increased technical and laboratory capacity in low- and middle-income countries, and (d) a regulatory framework governing the stewardship of antimicrobials. By outlining potential dual-purpose provisions that could be included in a pandemic instrument, we argue that addressing AMR in the pandemic instrument is practicable, the most effective use of limited time and resources, and provides the best opportunity for future global pandemic readiness.

A parallel and silent emerging pandemic: Antimicrobial resistance (AMR) amid COVID-19 pandemic.

World is in the middle of the pandemic (COVID-19), caused by SARS-COV-2 virus, which is a significant global health crisis after Spanish influenza in the beginning of 20th century. Progressive drastic steps have been enforced to minimize the transmission of the disease. Likewise, in the current years, antimicrobial resistance (AMR) has been referred as one of the potential perils to the global economy and health; however, it is now veiled under the present pandemic. During the current pandemic, AMR to available frontline antibiotics may prove fatal and life threatening to bacterial and fungal infections during routine procedures like elective surgery, C-sections, etc. Currently, a swift elevation in multidrug-resistant organisms (MDROs), like carbapenem-resistant New Delhi metallo-ß-lactamase (NDM)-producing Acinetobacter baumannii, Enterobacterales, extended-spectrum ß-lactamase (ESBL)-producing Klebsiella pneumoniae, methicillin-resistant Staphylococcus aureus (MRSA), multi-triazole-resistant Aspergillus fumigatus and pan-echinocandin-resistant Candida glabrata has been seen. Thereupon, the global outbreak of COVID-19 also offers some important ramification for developing antimicrobial drug resistance. This article aims to highlights episodes and aspects of AMR prevalence, impact of management and mismanagement of COVID-19 crisis, hospital settings, community, environment, and travel on the AMR during the current pandemic.

Ceftazidime-Avibactam (C/A) Resistant, Meropenem Sensitive KPC-Producing Klebsiella pneumoniae in ICU Setting: We Are What We Are Treated with?

The continuous spread of carbapenem-resistant Klebsiella pneumoniae (CP-Kp) strains presents a severe challenge to the healthcare system due to limited therapeutic options and high mortality. Since its availability, ceftazidime/avibactam (C/A) has become a first-line option against KPC-Kp, but C/A-resistant strains have been reported increasingly, especially with pneumonia or prior suboptimal blood exposure to C/A treatment. A retrospective, observational study was conducted with all patients admitted to the Intensive Care Unit (ICU) dedicated to COVID-19 patients at the City of Health & Sciences in Turin, between 1 May 2021 and 31 January 2022, with the primary endpoint to study strains with resistance to C/A, and secondly to describe the characteristics of this population, with or without previous exposure to C/A. Seventeen patients with colonization or invasive infection due to Klebsiella pneumoniae, C/A resistance, and susceptibility to meropenem (MIC = 2 µg/L) were included; the blaKPC genotype was detected in all isolates revealing D179Y mutation in the blaKPC-2 (blaKPC-33) gene. Cluster analysis showed that 16 out of the 17 C/A-resistant KPC-Kp isolates belonged to a single clone. Thirteen strains (76.5%) were isolated in a 60-day period. Only some patients had a previous infection with non-mutant KPC at other sites (5; 29.4%). Eight patients (47.1%) underwent previous large-spectrum antibiotic treatment, and four patients (23.5%) had prior treatment with C/A. The secondary spread of the D179Y mutation in the blaKPC-2 during the COVID-19 pandemic needs to be addressed constantly by an interdisciplinary interaction between microbiologists, infection control personnel, clinicians, and infectious diseases consultants to properly diagnose and treat patients.

Investigation of antimicrobial resistance patterns and molecular typing of Pseudomonas aeruginosa isolates among Coronavirus disease-19 patients.

BACKGROUND: Pseudomonas aeruginosa is a common co-infecting pathogen recognized among COVID-19 patients. We aimed to investigate the antimicrobial resistance patterns and molecular typing of Pseudomonas aeruginosa isolates among Coronavirus disease-19 patients. METHODS: Between December 2020 and July 2021, 15 Pseudomonas aeruginosa were isolated from COVID-19 patients in the intensive care unit at Sina Hospital in Hamadan, west of Iran. The antimicrobial resistance of the isolates was determined by disk diffusion and broth microdilution methods. The double-disk synergy method, Modified Hodge test, and polymerase chain reaction were utilized to detect Pseudomonas aeruginosa extended spectrum beta-lactamase and carbapenemase producers. Microtiter plate assay was performed to evaluate the biofilm formation ability of the isolates. The isolates phylogenetic relatedness was revealed using the multilocus variable-number tandem-repeat analysis method. RESULTS: The results showed Pseudomonas aeruginosa isolates had the most elevated resistance to imipenem (93.3%), trimethoprim-sulfamethoxazole (93.3%), ceftriaxone (80%), ceftazidime (80%), gentamicin (60%), levofloxacin (60%), ciprofloxacin (60%), and cefepime (60%). In the broth microdilution method, 100%, 100%, 20%, and 13.3% of isolates showed resistance to imipenem, meropenem, polymyxin B, and colistin, respectively. Ten (66.6%) isolates were identified as multiple drug resistance. Carbapenemase enzymes and extended spectrum beta-lactamases were identified in 66.6% and 20% of the isolates, respectively and the biofilm formation was detected in 100% of the isolates. The blaOXA-48, blaTEM, blaIMP, blaSPM, blaPER, blaVEB, blaNDM, blaSHV, and blaCTX-M genes were detected in 100%, 86.6%, 86.6%, 40%, 20%, 20%, 13.3%, 6.6%, and 6.6% of the isolates, respectively. The blaVIM, blaGIM, blaGES, and blaMCR-1 genes were not identified in any of the isolates. The MLVA typing technique showed 11 types and seven main clusters and most isolates belong to cluster I, V and VII. CONCLUSION: Due to the high rate of antimicrobial resistance, as well as the genetic diversity of Pseudomonas aeruginosa isolates from COVID-19 patients, it is indispensable to monitor the antimicrobial resistance pattern and epidemiology of the isolates on a regular basis.