Prevalence of multidrug-resistant Acinetobacter baumannii in a critical care setting: A tertiary teaching hospital experience

An Immunoinformatics-Based Multi-Peptide Vaccine Provides Antibody-Mediated Protection Against Acinetobacter baumannii Infection

BACKGROUND/OBJECTIVES

Acinetobacter baumannii is an opportunistic nosocomial pathogen characterized by its multidrug-resistant (MDR) phenotype, increasing patient mortality and healthcare costs as a result. Previously, we constructed an immunoinformatics-based Acinetobacter Multi-Epitope Vaccine (AMEV2) candidate and demonstrated robust protection against this MDR pathogen. In this study, we delineate the mechanisms of AMEV2-mediated protective immunity.

METHODS

In vivo passive immunization with AMEV2 antisera and in vitro opsonophagocytic killing assays (OPKAs) were used to assess the critical role of antibody-mediated protection induced by AMEV2 vaccination.

RESULTS

The passive transfer of AMEV2 immune sera to naïve mice afforded 67% protection in a pulmonary challenge mouse model. Although AMEV2 sera reacts with bacterial antigens, it is not bactericidal on its own and does not enhance the complement-mediated direct killing of A. baumannii. However, OPKAs demonstrate AMEV2 sera enhancement of the killing of A. baumannii in the presence of primary bone marrow-derived macrophages. This killing occurs via complement and Fc gamma receptor-mediated phagocytosis. A highly immunogenic AMEV2 component peptide, pTonB, elicits pTonB-specific antibodies and protection in vivo. The depletion of pTonB antibodies from AMEV2 immune sera by pTonB absorption significantly reduced the opsonophagocytic killing of A. baumannii in vitro.

CONCLUSIONS

The data presented here demonstrate the importance of humoral immunity and its protective mechanisms against A. baumannii. These findings further expand the in vivo evaluation of in silico-designed vaccines as a viable alternative to combat the current global MDR pathogen health crisis.

Risk factors associated with multidrug-resistant Klebsiella pneumoniae infections: a multicenter observational study in Lebanese hospitals

BACKGROUND

Klebsiella pneumoniae is a significant global public health burden, especially in low-income countries and regions with fragile healthcare infrastructures, due to its ability to cause severe infections, increase mortality rates, and its rising antimicrobial resistance. This study aimed to estimate the proportion of multidrug-resistant (MDR) K. pneumoniae infections and identify associated risk factors.

METHODS

Data were retrospectively collected from three academic hospitals in Beirut, Lebanon, between January 2021 and September 2023 using a standardized form. Binary logistic regression was used to determine risk factors associated with MDR, extended-spectrum beta-lactamase (ESBL)-producing, and carbapenem-resistant K. pneumoniae (CRKP) infections.

RESULTS

Out of 2,655 K. pneumoniae cases, 410 met the inclusion criteria. The primary infection sources were the urinary tract (58.3%) and the respiratory tract (12.4%). Among the isolates, 61% were MDR K. pneumoniae, with 7.3% being extensively drug-resistant, and 0.5% pandrug-resistant. Additionally, 36.8% were ESBL-producing, while 6.3% were CRKP. Predictors significantly associated with MDR K. pneumoniae infections included male sex (adjusted odds ratio [AOR] = 3.46, 95% CI = 1.01-11.86, P = 0.04), recent antibiotics use (AOR = 4.52, 95% CI = 1.65-12.36, P = 0.003), and recent cancer chemotherapy (AOR = 3.43, 95% CI = 1.25-9.42, P = 0.01). ESBL-producing infections were associated with age ≥ 65 years, higher Charlson Comorbidity Index (CCI), and recent antibiotic use. CRKP infections were linked to male sex, prior antibiotic use, and longer hospital stays prior to infection (all P < 0.05).

CONCLUSIONS

MDR K. pneumoniae infections are steadily rising in Lebanon, along with an increase in ESBL-producing and CRKP cases. The main risk factors for MDR K. pneumoniae infections were male sex, recent antibiotic use, and cancer chemotherapy. ESBL-producing infections were associated with advanced age, higher CCI, and recent antibiotic use, while CRKP infections were linked to male sex, prior antibiotic use, and prolonged hospital stays. This situation is further exacerbated by inadequate healthcare infrastructure and suboptimal national surveillance. Strengthening local surveillance and implementing effective antibiotic stewardship programs are critical to managing this growing threat..

A chronic murine model of pulmonary Acinetobacter baumannii infection enabling the investigation of late virulence factors, long-term antibiotic treatments, and polymicrobial infections

Acinetobacter baumannii can cause prolonged infections that disproportionately affect immunocompromised populations. Our understanding of A. baumannii respiratory pathogenesis relies on an acute murine infection model with limited clinical relevance that employs an unnaturally high number of bacteria and requires the assessment of bacterial load at 24-36 hours post-infection. Here, we demonstrate that low intranasal inoculums in immunocompromised mice with a tlr4 mutation leads to reduced inflammation, allowing for persistent infections lasting at least 3 weeks. Using this "chronic infection model," we determined the adhesin InvL is an imperative virulence factor required during later stages of infection, despite being dispensable in the early phase. We also demonstrate that the chronic model enables the distinction between antibiotics that, although initially reduce bacterial burden, either lead to complete clearance or result in the formation of bacterial persisters. To illustrate how our model can be applied to study polymicrobial infections, we inoculated mice with an active A. baumannii infection with Staphylococcus aureus or Klebsiella pneumoniae. We found that S. aureus exacerbates the infection, while K. pneumoniae enhances A. baumannii clearance. In all, the chronic model overcomes some limitations of the acute pulmonary model, expanding our capabilities to study of A. baumannii pathogenesis and lays the groundwork for the development of similar models for other important opportunistic pathogens.

Evaluation of antibiotic resistance changes in Acinetobacter baumannii in the era of COVID-19 in Northern Iran

Background and Objectives

During the coronavirus pandemic, the overuse of antibiotics to reduce coinfections and mortality may be contributing to the rise of antimicrobial resistance. In this study, we aim to investigate the antibiotic resistance changes of Acinetobacter baumannii post-COVID-19 pandemic in Northern Iran.

Materials and Methods

The current study is a cross-sectional study. Between 2022 and 2023, 2190 clinical samples were collected from patients with healthcare-associated infections (HAIs) at four hospitals in Sari, which served as corona centers after the COVID-19 pandemic. Antimicrobial sensitivity was determined using standard broth macro-dilution, and resistance genes were detected using multiplex PCR.

Results

Based on the results co-amoxiclav had a resistance rate of 100%, while piperacillin/tazobactam showed the least resistance rate of 29.82%. In terms of GM MIC values, colistin was the most potent against multi-drug resistant isolates. The frequency of bla OXA-51 , ampC, aphA6, and bla NDM genes were 100%, 99.12%, 90.35%, and 69.30% respectively.

Conclusion

Our study revealed high multi-drug resistance rates. Piperacillin/tazobactam recommended for treating multi-drug resistant Acinetobacter baumannii infections in Northern Iran.

Acinetobacter baumannii: assessing susceptibility patterns, management practices, and mortality predictors in a tertiary teaching hospital in Lebanon

BACKGROUND

Acinetobacter baumannii is a major nosocomial pathogen capable of causing life-threatening infections. This bacterium is highly resistant to antibiotics and associated with high mortality rates. Therefore, this study aimed to evaluate A. baumannii's susceptibility patterns to antimicrobials, assess the appropriateness of the initiated antimicrobial therapy, determine the mortality rate, and identify predictors associated with mortality.

METHODS

A retrospective observational study was conducted among patients infected with A. baumannii at a university hospital in Lebanon through the revision of medical records. Kaplan-Meier survival analysis and log-rank tests were used to analyze time-to-mortality. Binary logistic regression was performed to identify predictors of mortality.

RESULTS

The records of 188 patients were screened, and 111 patients with A. baumannii infection were enrolled. Almost all isolates were resistant to carbapenem, and 43% of the isolates were extensively-drug resistant. Almost half of the patients received initial inappropriate antimicrobial therapy (n = 50, 45.1%). The 30-day mortality rate associated with A. baumannii infection was 71.2% (79/111). The time to mortality in patients who received inappropriate antimicrobial therapy (5.70 ± 1.07 days) was significantly shorter than in those who received appropriate antimicrobial therapy (12.43 ± 1.01 days, P < 0.01). Binary logistic regression revealed that inappropriate antimicrobial therapy (adjusted odds ratio [AOR] = 16.22, 95% CI 2.68-9.97, P = 0.002), mechanical ventilation (AOR = 14.72, 95% CI 3.27-6.61, P < 0.001), and thrombocytopenia (AOR = 8.82, 95% CI 1.12-9.75, P = 0.003) were more likely associated with mortality.

CONCLUSIONS

A. baumannii exhibits an alarming mortality rate among infected patients. Thrombocytopenia, mechanical ventilation, and inappropriate antibiotic administration are associated with mortality in patients infected with A. baumannii. The prompt initiation of appropriate antimicrobial therapy, infection control measures, and effective stewardship program are crucial to reduce the incidence of A. baumannii and improve the treatment outcomes.

Early detection of a possible multidrug-resistant Acinetobacter baumannii outbreak in the local hospital setting by using random amplified polymorphism DNA-polymerase chain reaction (RAPD-PCR), oxacillinase gene profiles, and antibiograms

Background and Objectives

Detecting the source of a potential outbreak of multidrug resistant (MDR) Acinetobacter baumannii is necessary to be investigated. This study aimed to detect the possibility of A. baumannii outbreak in a hospital setting using a combination of random amplified polymorphism DNA-polymerase chain reaction (RAPD-PCR), antibiograms, and the presence of oxacillinase genes.

Materials and Methods

The antibiogram of 31 clinical isolates and six environmental isolates of A. baumannii were determined by Vitek® 2 Compact. Oxacillinase genes (OXA-23, -24, -51, and -58) were detected by PCR, and RAPD-PCR was conducted using DAF-4 and ERIC-2 primers. The Similarity Index and dendrogram were generated using GelJ v2.3 software.

Results

The antibiograms showed that all MDR A. baumannii isolates has very limited susceptibility to cephalosporins, but mostly susceptible to tigecycline. All isolates were positive for bla OXA-51-like gene, thirty-two of 37 total isolates (86.5%) were positive for bla OXA-23-like gene, and none were positive for bla OXA-24-like and bla OXA-58-like genes. RAPD-PCR showed that the DAF-4 primer on average had more band visualization and lower Similarity Index's variation compared to the ERIC-2. The discriminatory power of DAF-4 was 0.906. There was a significant correlation between the DAF-4 dendrogram pattern with the antibiogram (r=0.494, p<0.001) and the presence of bla OXA-23-like gene (r=0.634, p<0.001) from all ICU A isolates. Six out of fourteen ICU A isolates belonged to the same cluster with >95% Similarity Index, while one clinical isolate having an identical dendrogram and antibiogram pattern with an environmental isolate within this cluster.

Conclusion

There is a high probability of MDR A. baumannii outbreak within ICU A detected by multiple analysis of RAPD-PCR, antibiogram and the bla OXA-23-like gene profiles. This combinatorial approach is conceivable to mitigate possible outbreak situations of A. baumannii in the local hospital without sophisticated microbiology laboratory.