Recent Trends of Gram-negative Bacteremia in a State of North India, the Forthcoming Challenges IGMC Shimla, India

2022 ◽  
pp. 56-62
Author(s):  
Pankaj Katoch ◽  
Anil Kanga
Author(s):  
Pankaj Katoch ◽  
Anil Kanga

Background: Vascular endothelial dysfunction plays a critical role in the evolution of sepsis there is an increase in vascular permeability leading to coagulation abnormalities and subsequent dysfunction of major organs.1 Bloodstream infections are a cause of life-threatening complications in all age groups of the population especially the extreme age groups who are very much prone to the risk. Antibiotic usage is associated with bacteremia, septicemia, and mortality through many factors. We are aware that Gram-negative bacteria due to many causes are becoming increasingly resistant to the currently used antimicrobial therapy. Here, in this study, we report the incidence and etiology and of the Gram-Negative bacterial isolates and their clinical significance from our tertiary care institute located in the Northern part of India. Materials and Methods: Prospective Observational Study conducted in the Department of Microbiology IGMC Shimla for a tenure of one year to determine the incidence and etiology of Gram-negative bacterial isolates and their antimicrobial resistance profile. All the blood culture samples received in the Department of Microbiology IGMC Shimla for culture by Bactec Bd fx from July 2015 to June 2016 were included in the study except for falling in the exclusion criteria. The blood culture was observed in the Bactec bd fx system for at least 5 days before they are reported as sterile. Results: Among the total 1275 cultures which were positive for bacteria, 931(73.02%) were positive for Gram-negative bacteria. Among the total of 931culture that were positive for Gram-negative bacteria, The Non-fermenter group of organisms was isolated in 292(31.36%) cultures, followed by E. coli 266(28.57%). Among the total of 931 cultures positive for GNB, a maximum of 335 (35.98%) belonged to 0-1 year. Among them, 574 (61.65%) were males while 357 (38.35%) were females. Conclusion: Nonfermenter group was the commonest organism among Gram-negative isolates. Infants were more commonly positive as compared to another age group. Males were more commonly culture positive as compared to females among gram-negative isolates.


Author(s):  
Jamie L. Wagner ◽  
Kylie C. Markovich ◽  
Katie E. Barber ◽  
Kayla R. Stover ◽  
Lauren R. Biehle

2021 ◽  
Vol 34 (2) ◽  
Author(s):  
Caitlyn L. Holmes ◽  
Mark T. Anderson ◽  
Harry L. T. Mobley ◽  
Michael A. Bachman

SUMMARY Gram-negative bacteremia is a devastating public health threat, with high mortality in vulnerable populations and significant costs to the global economy. Concerningly, rates of both Gram-negative bacteremia and antimicrobial resistance in the causative species are increasing. Gram-negative bacteremia develops in three phases. First, bacteria invade or colonize initial sites of infection. Second, bacteria overcome host barriers, such as immune responses, and disseminate from initial body sites to the bloodstream. Third, bacteria adapt to survive in the blood and blood-filtering organs. To develop new therapies, it is critical to define species-specific and multispecies fitness factors required for bacteremia in model systems that are relevant to human infection. A small subset of species is responsible for the majority of Gram-negative bacteremia cases, including Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii. The few bacteremia fitness factors identified in these prominent Gram-negative species demonstrate shared and unique pathogenic mechanisms at each phase of bacteremia progression. Capsule production, adhesins, and metabolic flexibility are common mediators, whereas only some species utilize toxins. This review provides an overview of Gram-negative bacteremia, compares animal models for bacteremia, and discusses prevalent Gram-negative bacteremia species.


2012 ◽  
Vol 71 (3) ◽  
pp. 261-266 ◽  
Author(s):  
Laura L. Raynor ◽  
Jeffrey J. Saucerman ◽  
Modupeola O. Akinola ◽  
Douglas E. Lake ◽  
J. Randall Moorman ◽  
...  

Author(s):  
Julieta Madrid-Morales ◽  
Aditi Sharma ◽  
Kelly Reveles ◽  
Carolina Velez-Mejia ◽  
Teri Hopkins ◽  
...  

Background: Extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae are increasingly common; however, predicting which patients are likely to be infected with an ESBL pathogen is challenging, leading to increased use of carbapenems. To date, five prediction models have been developed to distinguish between patients infected with ESBL pathogens. The aim of this study was to validate and compare each of these models, to better inform antimicrobial stewardship. Methods: This was a retrospective cohort study of patients with gram-negative bacteremia treated at the South Texas Veterans Health Care System over 3 months from 2018 to 2019. We evaluated isolate, clinical syndrome, and score variables for the five published prediction models/scores: Italian “Tumbarello”, Duke, University of South Carolina (USC), Hopkins Clinical Decision Tree, and Modified Hopkins. Each model was assessed using the receiver-operating-characteristic curve (AUROC) and Pearson correlation. Results: 145 patients were included for analysis, of which 20 (13.8%) were infected with an ESBL E. coli or Klebsiella spp. The most common sources of infection were genitourinary (55.8%) and gastrointestinal/intraabdominal (24.1%) and the most common pathogen was E. coli (75.2%). The prediction model with the strongest discriminatory ability (AUROC) was Tumbarello (0.7556). Correlation between prediction model score and percent ESBL was strongest with Modified Hopkins (R2=0.74). Conclusions: In this veteran population, the Modified Hopkins and Duke prediction models were most accurate in discriminating between gram-negative bacteremia patients when considering both AUROC and correlation. However, given the moderate discriminatory ability, many patients with ESBL Enterobacteriaceae (at least 25%) may still be missed empirically.


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