Mahendra Shrestha1, Ratna Baral1, Lok Bahadur Shrestha2. 1. Department of Microbiology & Infectious Diseases, B. P. Koirala Institute of Health Sciences, Dharan, Sunsari 56700, Nepal. 2. School of Medical Sciences and The Kirby Institute, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
Abstract
INTRODUCTION: Non-fermentative gram-negative bacilli are common causes of human infections especially nosocomial infections. These organisms are usually resistant to multiple antimicrobial agents including carbapenems. The study aimed to find out the prevalence of metallo-β-lactamase producing non-fermentative gram-negative bacilli among the samples which yielded growth of bacteria in a tertiary care hospital. METHODS: This is a descriptive cross-sectional study conducted in a tertiary care hospital from February 2017 to May 2017. Convenience sampling method was used. Bacterial identification, characterization and antimicrobial susceptibility testing were done by following standard microbiological guidelines. Metallo-β-lactamase production was detected by using combined disk diffusion test and double-disc synergy test. Data were analyzed by using Statistical Package of Social Science software version 16. Point estimate at 95% confidence interval was calculated along with frequency and proportion for binary data. RESULTS: Among 628 samples which yielded growth of bacteria, 118 (18.79%) at 95% Confidence Interval (15.74-21.84) were metallo-β-lactamase producing non-fermentative gram-negative bacilli. Among them, 54 (45.76%) were Pseudomonas aeruginosa and 64 (54.24%) were Acinetobacter baumannii. CONCLUSIONS: A high prevalence of metallo-β-lactamase production was observed among the nonfermentative gram-negative bacilli than the study done in similar settings. It is mandatory to perform routine monitoring of metallo-β-lactamase producing isolates in clinical laboratories in order to help the clinicians prescribe proper antibiotics.
INTRODUCTION: Non-fermentative gram-negative bacilli are common causes of human infections especially nosocomial infections. These organisms are usually resistant to multiple antimicrobial agents including carbapenems. The study aimed to find out the prevalence of metallo-β-lactamase producing non-fermentative gram-negative bacilli among the samples which yielded growth of bacteria in a tertiary care hospital. METHODS: This is a descriptive cross-sectional study conducted in a tertiary care hospital from February 2017 to May 2017. Convenience sampling method was used. Bacterial identification, characterization and antimicrobial susceptibility testing were done by following standard microbiological guidelines. Metallo-β-lactamase production was detected by using combined disk diffusion test and double-disc synergy test. Data were analyzed by using Statistical Package of Social Science software version 16. Point estimate at 95% confidence interval was calculated along with frequency and proportion for binary data. RESULTS: Among 628 samples which yielded growth of bacteria, 118 (18.79%) at 95% Confidence Interval (15.74-21.84) were metallo-β-lactamase producing non-fermentative gram-negative bacilli. Among them, 54 (45.76%) were Pseudomonas aeruginosa and 64 (54.24%) were Acinetobacter baumannii. CONCLUSIONS: A high prevalence of metallo-β-lactamase production was observed among the nonfermentative gram-negative bacilli than the study done in similar settings. It is mandatory to perform routine monitoring of metallo-β-lactamase producing isolates in clinical laboratories in order to help the clinicians prescribe proper antibiotics.
Metallo-β-lactamases (MBL) are a group of enzymes that induce the hydrolysis of a broad set of P-lactam drugs including carbapenems.[1] Pseudomonas aeruginosa (P. aeruginosa) and Acinetobacter baumannii are the most common gram-negative, non-fermentative bacteria encountered in the laboratory from various clinical specimens. These organisms have characteristics of being resistant to multiple antimicrobial agents including carbapems.[2] MBL inactivates carbapenems and has hindered the use of these antibiotics.[3,4]These enzymes are inactivated by chelating agents such as ethylene diamine tetra acetic acid.[1,3,4] Hence, detection of MBL producing P. aeruginosa and A. baumannii is crucial for optimal treatment of the patient and to reduce the spread of resistance.[5,6]The study aims to find out the prevalence of metallo-β-lactamase producing non-fermentative gram-negative bacilli among the samples which yielded growth of bacteria in a tertiary care hospital.
METHODS
This descriptive cross-sectional study was conducted at B. P. Koirala Institute of Health Sciences (BPKIHS) from April 2017 to May 2017. Ethical clearance was obtained from Departmental Research Unit, which is a part of institutional review board of BPKIHS (DRU/Micro/02/017). Convenience sampling technique was used. Samples which yielded growth of bacteria were included and the samples which did not yield the growth of bacteria were excluded.The sample size was calculated by following formula:n = Z2 × p × q / e2= (1.96)2 × (0.5) × (1 - 0.5) / (0.05)2= 385where,n = minimum required sample sizeZ = 1.96 at 95% Confidence Interval (CI)p = prevalence of metallo-β-lactamase non-fermenter gram-negative bacilli for maximum sample size, 50%q = 1-pe = margin of error, 5%The minimum sample size calculated was 385, however, we took 628 samples which yielded growth of bacteria.After receiving the clinical samples, they were inoculated onto blood agar and MacConkey agar. Cysteine lactose electrolyte deficient medium was used for urine specimen. The inoculated medium was incubated aerobically at 37°C for 24 hours. In case of blood sample, inoculated was done in brain heart infusion broth and incubated for aerobically 24 hours before subculturing onto blood agar, MacConkey agar, and chocolate agar. The colonies obtained on solid media were subjected for identification and antimicrobial susceptibility. Organisms were identified on the basis of colony characteristics, gram's stain, pigmentation, motility and different biochemical tests like cytochrome oxidase, catalase, urease test, polymyxin susceptibility, nitrate reduction, amino acid decarboxylation tests and sugar fermentation tests as per standard microbiological guidelines.[8] Antimicrobial susceptibility test was performed on Mueller Hinton agar (MHA) plate by Bauer-Kirby disc diffusion methods following clinical and laboratory standards institute (CLSI) guidelines. The organisms were tested against following antimicrobial discs: amikacin (30μg), gentamycin (10μg), tobramycin (10μg), ciprofloxacin (5μg), imipenem (10μg), aztreonam (30|μg), piperacillin (100μg), piperacillin-tazobactam (100/10μg), ceftazidime (30μg), carbenicillin(100μg) [Hi-Media, India].[9-10] Zone of inhibition was interpreted based on the guidelines provided by CLSI.[9] Multidrug resistance (MDR) was defined as resistance to at least one agent in more than three or more classes of antimicrobials as proposed by Magiorakos et al.[11] The imipenem resistant P. aeruginosa and A. baumannii isolates were screened for MBL production by combined disk diffusion test and double-disc synergy test.[12-14] Within 15 minutes after adjusting the turbidity of the inoculum suspension, organisms were plated on MHA plate by lawn culture technique. Two imipenem (IMP) discs (10μg), one containing 10μl of 0.5M (750μg) anhydrous ethylenediaminetetraacetic acid (EDTA), were placed 25mm apart and incubated overnight at 37°C. Increment in zone diameter of > 7mm surrounding the IMP-EDTA disk compared to imipenem disk alone was considered as positive.[14,15] For double disc synergy test, the test organism was inoculated on MHA as above. Two-discs were placed, 20mm apart from center to center, one imipenem (10 μg) disc and another blank disc to which 10μl of 0.5 M EDTA. Enhancement of the zone of inhibition in the area between imipenem and EDTA disc in comparison to zone size on the far side of the drug was considered as a positive result.[12-13]All the information were entered in Microsoft Excel 2013 and analyzed using Statistical Package for the Social Sciences (SPSS version 11.5) software.
RESULTS
Among 628 samples which yielded growth of bacteria, 118 (18.79%) were metallo-|3-lactamase producing nonfermentative gram-negative bacilli. Among them, 54 (45.76%) were P. aeruginosa and 64 (54.24%) were A. baumannii. Out of the total 54 clinical isolates of P. aeruginosa, 34 (63%) were from male patients and 20 (37%) from female patients. Likewise, out of the total 64 clinical isolates of A. baumannii, we obtained 42 (66%) from male patients and 22 (34%) from female patients. The maximum number of both organisms were isolated in adult age group (Table 1).
Table 1
Distribution of isolates based on age, sex, origin, and specimen.
Pseudomonas aeruginosa (n = 54)
Acinetobacter baumannii (n = 64)
n (%)
n (%)
Sex
Male
34 (63)
42 (65.6)
Female
20 (37)
22 (34.4)
Age
Children (<14 years)
5 (9.25)
10 (15.6)
Adults (15-60 years)
33 (61)
41 (64)
Elderly (>60 years)
16 (29.6)
13 (20.31)
Origin
Emergency
3 (5.5)
4 (6.25)
Wards
20 (37)
19 (29.6)
OPD*
17 (31.4)
18 (28.12)
ICU†
14 (26)
23 (36)
Specimen
Blood
8 (14.8)
6 (9.37)
ETT‡
11 (20.3)
15 (23.43)
Sputum
10 (18.5)
12 (18.75)
Urine
8 (14.8)
8 (12.5)
Swab
5 (9.25)
10 (15.6)
Pus
12 (22.2)
13 (20.31)
OPD: Outpatient department
ICU: Intensive care unit
ETT: Endotracheal tube
OPD: Outpatient departmentICU: Intensive care unitETT: Endotracheal tubeWe obtained most P. aeruginosa isolates from wards 20 (37%), followed by OPD 17 (31%), while the most common source of A. baumannii was ICU 23 (36%) followed by wards 19 (30%). Sample wise analysis of the isolates showed that P. aeruginosa was most commonly isolated from the Pus sample 12 (22%), while endotracheal tube 15 (23%) yielded the highest number of A. baumannii. Among Pseudomonas aeruginosa, resistance against aztreonam, amikacin, ceftazidime, ciprofloxacin, imipenem, and piperacillin-tazobactam was found to be 10%, 14%, 37%, 25%, 25%, and 16% respectively. Similarly, among A. baumannii, 20%, 46%, 70%, 65%, 46%, and 48% resistance was observed against aztreonam, amikacin, ceftazidime, ciprofloxacin, imipenem, and piperacillin-tazobactam. Among 27 (44%) of P. aeruginosa isolates and 47 (73.4 %) of A. anitratus were multi-drug resistant (Figure 1).
Figure 1
Antimicrobial sensitivity test of P. aeruginosa.
Among the total clinical isolates, 14 (11.86%) were imipenem resistant P. aeruginosa and 30 (25.42%) were A. baumannii. We tested these strains for MBL by IMP-EDTA combined inhibition method and double disk synergy test (Figure 2).
Figure 2
MBL detection by IMP and IMP-EDTA combined disk diffusion method.
MBL producing Pseudomonas aeruginosa was 7 (50%) with IMPEDTA combined inhibition and double disk synergy test. Similarly, MBL producing A. baumannii was 20 (66.67%) with both combined inhibition and double disk synergy test (Table 2).
Table 2
Result of MBL producing Pseudomonas aeruginosa by IMP-EDTA combined disk inhibition method and double disk synergy test.
Total isolates
Imipenem Resistant n (%)
MBL Positive n (%)
Pseudomonas aeruginosa
54
14 (25.9)
7 (50)
Acinetobacter baumannii
64
30 (46.8)
20 (66.67)
DISCUSSION
Pseudomonas aeruginosa and Acinetobacter baumannii have emerged as the most worrisome pathogens for health-care facilities worldwide. These organisms cause multi-drug resistant nosocomial infections. Production of MBL by P. aeruginosa and A. baumannii has therapeutic consequences since these organisms also carry multi-drug resistance genes. Reporting of MBL will help infection control practitioners in mitigating the spread of these isolates.[1]-[11]-[15]-[16]In the present study, among 118 non-fermenter GNB, 54 were Pseudomonas aeruginosa and 64 were Acinetobacter baumannii. Among P. aeruginosa isolates, 14 were resistant to imipenem and 7 (50%) of them were MBL producers. Similarly, 20 A. baumannii isolates were imipenem resistant and 20 (66.67%) were MBL producers. The result was supported by similar studies conducted by Azmi et al.[17] Kazi et al.[18] Young et al.[13] and Pitout et al.[19] Our prevalence of MBL does not correlate with other studies. A lower prevalence of MBL was stated in the study of John et al.[20] Dumaru et al.[21] De et al.[22] Gautam et al.[23] and Kaur et al.[24] Another study conducted in Kathmandu, Nepal also reported a low prevalence of MBL among P. aeruginosa (16%) and A. baumannii (22%).[25] On the other hand, a higher prevalence of MBL production was described by Irfan et al.[27] and Koirala et al.[27] in which, 100% & 96.6% and 73.91% and 75%, MBL producers were reported. Similarly, a study conducted in Egypt reported MBL production in 95% of A. baumannii isolates.[28] The variation might be attributable to the difference in sample size and the fact that our hospital is a tertiary referral center and most patients arriving here have already been treated with multiple antimicrobials elsewhere.Antimicrobial susceptibility pattern of the isolates showed a variable degree of resistance. On the account of MBL producing P. aeruginosa, 85% were resistant against ceftazidime, piperacillin, piperacillin-tazobactam, and ciprofloxacin, 71% to carbenicillin and 57% were resistance against aztreonam, tobramycin, gentamycin, and amikacin. Similar results were obtained in the study conducted by Dumaru et al.[21] and Anane et al.[29] In another study, Mishra et al.[30] reported 100 % resistance to Piperacillin and ceftazidime each, 83.3% to Imipenem, 50% to gentamycin, 66.67% to ciprofloxacin. Multi-drug resistance was observed among 44% of P. aeruginosa and 73.4% of A. baumannii isolates in our study. The frequency is lower than the study done by Matbainor H et al. who reported MDR in 100% isolates.[33] A study conducted in Nepal also showed a higher proportion of MDR i.e., 79.3%. in A. anitratus and 84.2% for P. aeruginosa.[31] However, a study in Ethiopia reported a low degree of multidrug resistance (8.4%) among these organisms.[33] The higher rates of resistance in the present study reflects the irrational and extensive use of these antibiotics in our medical settings, which resulted in emergence of resistance.The resistance pattern when compared between MBL producing and non-producing P. aeruginosa showed significant differences. Among MBL positive Acinetobacter baumannii, 90% were resistant against ceftazidime and ciprofloxacin, 85% to piperacillin and carbenicillin and 80% to piperacillin-tazobactam. A study conducted by Anwar et al.[33] and Kaur et al.[34] reported a similar pattern of drug resistance. The antimicrobial resistance pattern was compared between MBL producer A. baumannii and non-producers which showed statistically significant differences. The result of our study is similar to Dumaru et al.[21] and Thapa et al.[6] Other studies conducted in our hospital also reported a similar antimicrobial resistance pattern in P. aeruginosa and A. baumannii.[35,36]Thus, the findings of our study suggest that the emergence of MBL producing P. aeruginosa and A. baumannii in our clinical strains is alarming and reflects overuse of carbapenems. Hence, early detection and prompt initiation of infection control practices are vital to mitigate the further spread of MBLs. Additionally, it is also important to follow antimicrobial prescription guidelines toavoidtheinappropriateuse ofcarbapenems.The limitation of this study is that the genotypic tests could not be performed for the MBL producing isolates due to resource constrains. Also, the study duration was shorter.
CONCLUSIONS
In conclusion, we found a high percentage of MBL producing isolates among Acinetobacter baumannii and Pseudomonas aeruginosa isolates. With the increasing use of carbapenems in the treatment of critically ill patients, the problems of MBL production are also expanding at an alarming rate. Therefore, it is mandatory to perform routine monitoring of MBL producing isolates in clinical laboratories in order to help the clinicians prescribe proper antibiotics.
Authors: A-P Magiorakos; A Srinivasan; R B Carey; Y Carmeli; M E Falagas; C G Giske; S Harbarth; J F Hindler; G Kahlmeter; B Olsson-Liljequist; D L Paterson; L B Rice; J Stelling; M J Struelens; A Vatopoulos; J T Weber; D L Monnet Journal: Clin Microbiol Infect Date: 2011-07-27 Impact factor: 8.067