| Literature DB >> 31179337 |
Cuong Q Hoang1, Hai D Nguyen1, Huy Q Vu2, Anh T Nguyen3, Binh T Pham2, Trung L Tran4, Hanh T H Nguyen2, Y M Dao5, Tuyet S M Nguyen6, Dung A Nguyen6, Hang T T Tran2, Lan T Phan1.
Abstract
Carbapenemase-producing Enterobacteriaceae (CPE) are well known to cause many serious infections resulting in increasing mortality rate, treatment cost, and prolonged hospitalization. Among the widely recognized types of carbapenemases, New Delhi β-lactamase (NDM) and Klebsiella pneumoniae carbapenemase (KPC) are the most important enzymes. However, in Vietnam, there are only scattered reports of CPE due to the lack of simple and affordable methods that are suitable to laboratory conditions. This study aims to survey the characteristics of carbapenem-resistant E. coli and K. pneumoniae (CR-E/K) at two hospitals in Southern Vietnam and perform some simple methods to detect the two enzymes. A total of 100 CR-E/K strains were collected from clinical isolates of Gia Dinh People's Hospital and Dong Nai General Hospital, Vietnam, from November 2017 to May 2018. The patient-related information was also included in the analysis. We conducted real-time polymerase chain reaction (PCR), Modified Hodge Test (MHT), and combined disk test (CDT) on all isolates. Carbapenemase-encoding genes were detected in 47 isolates (36 NDM, 10 KPC, and one isolate harboring both genes). The E. coli strain carrying simultaneously these two genes was the first case reported here. Most of isolates were collected from patients in ICU, Infectious Disease Department, and Department of Urologic Surgery. Urine and sputum were two common specimens. The true positive rate (sensitivity, TPR) and specificity (SPC) of the imipenem-EDTA (ethylen diamine tetra acetic acid) for NDM detection and the imipenem-PBA (phenylboronic acid) for KPC detection on E. coli were 93.8%, 97.1% and 66.7%, 95.7%, respectively. Meanwhile, the imipenem-EDTA for NDM detection and the imipenem-PBA for KPC detection among K. pneumonia achieved 90.5%, 100% and 100%, 92.9% TPR and SPC, respectively. However, MHT showed low sensitivity and specificity. Our findings showed that CP-E/K were detected with high prevalence in the two hospitals. We suggest that CDT can be used as a low-priced and accurate method of detection.Entities:
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Year: 2019 PMID: 31179337 PMCID: PMC6507273 DOI: 10.1155/2019/9757625
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Primers and probes used in this study.
| Oligonucleotide | Nucleotide sequence, 5′–3′ | Origin | Volume of reaction (nM) | Reference |
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| NDM-F Primer | GAC CGC CCA GAT CCT CAA | IDT | 300 | |
| NDM-R Primer | CGC GAC CGG CAG GTT | IDT | 300 | |
| NDM-probe | HEX-TG GAT CAA GCA GGA GAT-ZEN/IBFQ | IDT | 200 | |
| KPC-F Primer | GGC CGC CGT GCA ATA C | IDT | 500 | |
| KPC-R Primer | GCC GCC CAA CTC CTT CA | IDT | 500 | [ |
| KPC- probe | 6FAM-TG ATA ACG CCG CCG CCA ATT TGT-ZEN/IBFQ | IDT | 200 | |
| 16S rRNA-F Primer | TGG AGC ATG TGG TTT AAT TCG A | IDT | 200 | |
| 16S rRNA-R Primer | TGC GGG ACT TAA CCC AAC A | IDT | 200 | |
| 16S rRNA-probe | Cy5-CA CGA GCT GAC GAC AR | IDT | 100 | |
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| NDM-F-seq | AGT CGC TTC CAA CGG TTT | IDT | 300 | This study |
| NDM-R-seq | CAT TGG CAT AAG TCG CAA TCC | IDT | 300 | |
| KPC-F-seq | GGT CAC CCA TCT CGG AAA | IDT | 500 | |
| KPC-R-seq | GGG ATG GCG GAG TTC AG | IDT | 500 | |
Figure 1Different distribution of patients' age following genotype at 2 hospitals.
Figure 2Different distribution of prevalence of CPE at 2 hospitals.
Distribution of diseases.
| Hospital | Disease | Total | ||||||||
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| Pneumonia | UTI | Wound Infection | Abnormal Infection | Bacteremia | Fever | Surgical Wound Infection | Other | |||
| GD | E | 2 | 14 | 5 | 0 | 5 | 2 | 0 | 1 | 29 |
| K | 13 | 9 | 2 | 1 | 2 | 2 | 1 | 0 | 30 | |
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| DN | E | 3 | 10 | 3 | 0 | 0 | 1 | 2 | 2 | 21 |
| K | 11 | 2 | 3 | 0 | 0 | 0 | 2 | 2 | 20 | |
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| Total | 29 | 35 | 13 | 1 | 7 | 5 | 5 | 5 | 100 | |
∗E: E. coli, K: K. pneumoniae, GD: Gia Dinh People's Hospital, DN: Dong Nai General Hospital, UTI: Urinary Tract Infection.
Particular characteristics of patients at 2 hospitals in this study.
| Characters | Gia Dinh People's Hospital (n=59) | Dong Nai General Hospital (n=41) |
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| Average age (95% CI) | 71.5 (67.4 – 75.2) | 60.4 (52.2 – 66) | 0.003 |
| Range | 36 – 94 | 23 – 89 | |
| Elder (%) | 76.3 | 58.5 | 0.079 |
| Positive rate (%) | 50.8 | 41.5 | 0.545 |
| Pneumonia rate (%) | 25.4 | 34.1 | |
| Odd of Outcome (Pos/Neg) between Pneumonia and the other | 0.79 | 7.14 | |
| Odd of Pneumonia (Elder/Younger) | 5.88 | 18.91 | |
| Odd of Outcome (Positive/Negative) in Elder group/ the other. | 1.045 | 15 | |
| Therapy departments (%) | ICU (20.3), | Infectious Disease Department (41.4) | |
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The agreement of bacteria isolation, real-time PCR, and DNA sequencing results.
| Strains ID | Isolation | Real-time PCR | DNA sequencing |
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| GD013 |
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| GD002 |
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| GD018 |
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| GD011 |
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| GD016 |
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| DN011 |
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Combined disk test results in E. coli and K. pneumonia.
| Combined disk test | Real-time PCR | TPR (%) | SPC | PPV | NPV | Accuracy | |||
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| Species | Pos | Ne | |||||||
| NDM detection |
| Pos | 15 | 1 | 93.8 | 97.1 | 93.8 | 97.1 | 96.0 |
| Neg | 1 | 33 | |||||||
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| Pos | 19 | 0 | 90.5 | 100 | 100 | 93.6 | 96 | |
| Neg | 2 | 29 | |||||||
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| KPC detection |
| Pos | 2 | 2 | 66.7 | 95.7 | 50 | 97.8 | 94.0 |
| Neg | 1 | 45 | |||||||
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| Pos | 8 | 3 | 100 | 92.9 | 72.7 | 100 | 94 | |
| Neg | 0 | 39 | |||||||
∗Pos: positive, Neg: negative.
Comparison between the MHT and combined disk test.
| Bacteria | Index | NDM detection | KPC detection | ||||
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| TPR (%) | 72.2 | 93.8 | p=0.25 | 72.2 | 66.7 | p=1.00 |
| SPC (%) | 68.8 | 97.1 | p=0.006 | 68.8 | 95.7 | p<0.001 | |
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| TPR (%) | 89.7 | 90.5 | p=1.00 | 89.7 | 100 | NC |
| SPC (%) | 38.1 | 100 | p<0.001 | 38.1 | 92.9 | p<0.001 | |
∗ means nonparametric McNemar test.