| Literature DB >> 28743282 |
Pratigya Thapa1, Dinesh Bhandari2,3, Dhiraj Shrestha2, Hiramani Parajuli2, Prakash Chaudhary2, Jyoti Amatya2, Ritu Amatya4.
Abstract
BACKGROUND: A rising threat of the rapid spread of acquired metallo-beta-lactamases (MBLs) among major Gram-negative pathogens is a matter of public health concern worldwide. Hence, for a low income nation like Nepal, surveillance data on MBL producing clinical isolates via a cost effective technique is necessary to prevent their dissemination as well as formulation and regulation of antimicrobial stewardship policy.Entities:
Keywords: Antimicrobial resistance; Ceftazidime-resistant Gram-negative rods; Metallo-beta-lactamase; Surveillance
Mesh:
Substances:
Year: 2017 PMID: 28743282 PMCID: PMC5526278 DOI: 10.1186/s13104-017-2640-7
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Multi drug resistance patterns and metallo-beta-lactamase production in the isolates
| Isolates | MDR positive | MBL positive | Total |
|---|---|---|---|
|
| 113 (56.8) | 0 (0) | 199 |
|
| 24 (44.4) | 3 (5.6) | 54 |
|
| 48 (82.8) | 18 (31) | 58 |
|
| 12 (38.7) | 0 (0) | 31 |
|
| 2 (66.7) | 0 (0) | 3 |
|
| 2 (40) | 0 (0) | 5 |
|
| 1 (100) | 0 (0) | 1 |
|
| 6 (66.7) | 0 (0) | 9 |
|
| 0 (0) | 0 (0) | 1 |
|
| 0 (0) | 0 (0) | 1 |
| Total | 208 (57.5) | 21 (5.8) | 362 |
Overall distribution of isolates in different clinical samples
| Isolates | Samples | ||||
|---|---|---|---|---|---|
| Urine | Pus | Sputum | Body fluid | Total | |
|
| 179 (68.1) | 10 (2.7) | 4 (1.1) | 6 (1.6) | 199 (54.9) |
|
| 27 (10.3) | 5 (1.3) | 16 (4.4) | 6 (1.6) | 54 (14.9) |
|
| 21 (8) | 21 (5.8) | 10 (2.7) | 6 (1.6) | 58 (16) |
|
| 25 (9.5) | 1 (0.2) | 4 (1.1) | 1 (0.2) | 31 (8.5) |
|
| 1 (0.4) | 1 (0.2) | 1 (0.2) | 0 (0) | 3 (0.8) |
|
| 4 (1.5) | 1 (0.2) | 0 (0) | 0 (0) | 5 (1.3) |
|
| 1 (0.4) | 0 (0) | 0 (0) | 0 (0) | 1 (0.2) |
|
| 4 (1.5) | 2 (0.5) | 3 (0.8) | 0 (0) | 9 (2.4) |
|
| 1 (0.4) | 0 (0) | 0 (0) | 0 (0) | 1 (0.2) |
|
| 0 (0) | 1 (0.2) | 0 (0) | 0 (0) | 1 (0.2) |
| Total | 263 (100) | 42 (11.6) | 38 (10.5) | 19 (5.2) | 362 (100) |
Antibiotic susceptibility pattern of the ceftazidime resistant Gram negative isolates (N = 159)
| Antibiotics | Enterobacteriaceae family (N = 100) |
|
| ||||||
|---|---|---|---|---|---|---|---|---|---|
| S (%) | I (%) | R (%) | S (%) | I (%) | R (%) | S (%) | I (%) | R (%) | |
| Amikacin | 85 | 0 | 15 | 75 | 0 | 25 | 31.4 | 2.8 | 65.7 |
| Ampicillin | 0 | 0 | 100 | NT | NT | NT | NT | NT | NT |
| Ampicillin–sulbactam | NT | NT | NT | NT | NT | NT | 31.4 | 2.8 | 65.7 |
| Aztreonam | NT | NT | NT | 62.5 | 4.1 | 33.3 | NT | NT | NT |
| Cefepime | NT | NT | NT | NT | NT | NT | 11.4 | 0 | 88.5 |
| Cefotaxime | 11 | 0 | 89 | NT | NT | NT | 11.4 | 0 | 88.5 |
| Ciprofloxacin | 21 | 3 | 76 | 45.8 | 0 | 54.1 | 14.2 | 2.8 | 82.8 |
| Co-trimoxazole | 28 | 0 | 72 | NT | NT | NT | 31.4 | 2.8 | 65.7 |
| Doxycycline | NT | NT | NT | NT | NT | NT | 34.2 | 2.8 | 62.8 |
| Gentamicin | 34 | 1 | 65 | 54.1 | 0 | 45.8 | 37.1 | 0 | 62.8 |
| Imipenem | NT | NT | NT | 91.6 | 0 | 8.3 | 68.5 | 5.7 | 25.7 |
| Nitrofurantoin | 91 | 0 | 9 | NT | NT | NT | NT | NT | NT |
| Ofloxacin | 22 | 0 | 78 | 48 | 0 | 54.1 | NT | NT | NT |
| Piperacillin | NT | NT | NT | 41.6 | 0 | 58.3 | NT | NT | NT |
| Piperacillin–tazobactam | NT | NT | NT | 79.1 | 0 | 20.8 | 37.1 | 0 | 62.8 |
| Polymixin B | NT | NT | NT | 100 | 0 | 0 | NT | NT | NT |
| Tigecycline | NT | NT | NT | NT | NT | NT | 85.7 | 0 | 14.2 |
S sensitive, I intermediate, R resistant, NT not tested
Distribution of metallo-beta-lactamase producers in different clinical samples
| Samples | MBL positive | MBL negative | ||||||
|---|---|---|---|---|---|---|---|---|
|
|
| Other Gram negative organisms | Total |
|
| Other Gram negative organisms | Total | |
| Urine | 4 | 3 | 0 | 7 | 17 | 24 | 215 | 256 |
| Pus | 7 | 0 | 0 | 7 | 14 | 5 | 16 | 35 |
| Sputum | 4 | 0 | 0 | 4 | 6 | 16 | 12 | 34 |
| Body fluids | 3 | 0 | 0 | 3 | 3 | 6 | 7 | 16 |
| Total | 18 | 3 | 0 | 21 | 40 | 51 | 250 | 341 |