Clinico-epidemiological nature and antibiotic susceptibility profile of Acinetobacter species

Biglari, Shirin; Hanafiah, Alfizah; Ramli, Ramliza; Rahman, Md. Mostafizur; Khaithir, Tzar Mohd Nizam

doi:10.12669/pjms.292.3132

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…[11]. As reported earlier [3], most of the nosocomial infections among the critically ill patients in our hospital were detected in the ICUs, followed by the medical wards. According to our observations, a total of 75.9% (127 out of 170) of the patients were infected with MDR Acinetobacter spp.…”

Section: Resultssupporting

confidence: 70%

“…Unfortunately, at this stage, very little information is available on such therapeutic pipeline. Although drug resistance in Acinetobacter and Pseudomonas is a recognized problem in Asia, including Nepal [3,4], the effect of MDR Acinetobacter and Pseudomonas infections on the therapeutic outcome in patients is yet to be determined. We, therefore, undertook this study to evaluate the clinico-epidemiological profile of Acinetobacter spp.…”

Section: Introductionmentioning

confidence: 99%

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Clinico-epidemiological profile of Acinetobacter and Pseudomonas infections, and their antibiotic resistant pattern in a tertiary care center, Western Nepal

Baral

Pokharel

Subramanya

et al. 2019

Nepal J Epidemiology

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Background: Infections caused by Acinetobacter species and Pseudomonas species, especially multidrug-resistant (MDR) strains pose a serious management challenge with a public health threat. Materials and Methods: A hospital-based retrospective study of patients who were infected with Acinetobacter spp or Pseudomonas aeruginosa was carried out at Manipal Teaching Hospital from 2014 to 2016. Results: A total of 170 cases of infections with Acinetobacter spp. and 313 cases with Pseudomonas aeruginosa were studied. The rate of nosocomial infections was higher than non-nosocomial infections. ICU was found as the major hub for both the organisms; (53.5% of cases due to Acinetobacter spp. and 39.6% due to Pseudomonas aeruginosa). Most isolates were of respiratory tract origin (Acinetobacter 74.7% and Pseudomonas aeruginosa 65.8%). Percentage resistance of Acinetobacter spp. towards polymyxin B was found to be quite low (18.8%). Similarly, resistance rates of Pseudomonas aeruginosa against amikacin were also found to be low, i.e., 17.4%. A higher prevalence of multidrug resistance was seen among Acinetobacter spp than among Pseudomonas aeruginosa (75.9% vs. 60.1%). The hospital stay was longer for patients infected with MDR isolate (p=0.001 for Acinetobacter spp. and p=0.003 for Pseudomonas aeruginosa). The mortality rate was higher in infections due to Acinetobacter spp (15.9%) as compared to Pseudomonas aeruginosa (8.3%). Conclusion: These clinico-epidemiological data will help to implement better infection control strategies. Developing a local antibiogram database will improve the knowledge of antimicrobial resistance patterns in our region, facilitating the treating physician in advocating empiric therapy if need be.

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Section: Resultssupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Clinico-epidemiological profile of Acinetobacter and Pseudomonas infections, and their antibiotic resistant pattern in a tertiary care center, Western Nepal

Baral

Pokharel

Subramanya

et al. 2019

Nepal J Epidemiology

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The Activity of Silver Nanoparticles (Axonnite) on Clinical and Environmental Strains ofEnterococcusspp.

Łysakowska

Denys²,

Klimek³

et al. 2013

Microbial Drug Resistance

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Antimicrobial susceptibility pattern of acinetobacter isolates from patients in Kenyatta National Hospital, Nairobi, Kenya

Musyoki¹,

Masika²,

Mutai³

et al. 2019

Pan Afr Med J

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IntroductionInfection due to multidrug-resistant microorganisms is a growing threat in healthcare settings. Acinetobacter species specifically A. baumannii is increasingly becoming resistant to most antimicrobial agents recommended for treatment. This study aimed to determine the antimicrobial susceptibility pattern of Acinetobacter species isolated from patients in Kenyatta National Hospital.MethodsWe conducted a retrospective study based on VITEK 2 (BioMérieux) electronic records capturing identification and antimicrobial susceptibility of Acinetobacter isolates from patient samples analyzed between 2013 and 2015 at Kenyatta National Hospital microbiology laboratory. Generated data were analyzed using WHONET and SPSS.ResultsA total of 590 Acinetobacter isolates were analyzed. 85% of the isolates tested were multi-drug resistant (MDR). Among the 590 isolates, 273 (46%) were from tracheal aspirates and 285 (48%) from the critical care unit. A. baumannii was the most frequently isolated species with high susceptibility to amikacin (77%) and poor susceptibility to ciprofloxacin (69-76%), tobramycin (37%) and meropenem (27%). Both A. lwoffii and A. haemolyticus had high susceptibility to amikacin (80-100%) and meropenem (75-100%).ConclusionA. baumannii is resistant to commonly administered antibiotics. There is need for continuous antimicrobial resistance surveillance especially in health care facilities and strengthening of antibiotic stewardship programmes which will contribute to enhancement of infection control policies.

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Clinico-epidemiological nature and antibiotic susceptibility profile of Acinetobacter species

Cited by 6 publications

References 19 publications

Clinico-epidemiological profile of Acinetobacter and Pseudomonas infections, and their antibiotic resistant pattern in a tertiary care center, Western Nepal

Clinico-epidemiological profile of Acinetobacter and Pseudomonas infections, and their antibiotic resistant pattern in a tertiary care center, Western Nepal

The Activity of Silver Nanoparticles (Axonnite) on Clinical and Environmental Strains ofEnterococcusspp.

Antimicrobial susceptibility pattern of acinetobacter isolates from patients in Kenyatta National Hospital, Nairobi, Kenya

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