| Literature DB >> 33928150 |
Hou-He Li1,2, Zhi-Jian He1,2, Li-Min Xie1,2, Jin-Sheng Zhang1,2, Tian-Ao Xie1,2, Shu-Jin Fan1,2, Xu-Guang Guo1,2,3,4,5.
Abstract
INTRODUCTION: High mortality associated with carbapenemase-producing Gram-negative bacteria (CP-GNB) has evolved into a global health threat. Rapid and accurate detection as well as prompt treatment are of great significance in this case. Xpert Carba-R, a multiple qualitative analysis designed to detect five clinically relevant carbapenem-resistant gene families within one hour, is regarded as reliable, accurate, and easy-to-operate. This study is to present a systematic evaluation of the performance of Xpert Carba-R in detecting carbapenemase genes in GNB suspected for carbapenemase production.Entities:
Mesh:
Substances:
Year: 2021 PMID: 33928150 PMCID: PMC8049809 DOI: 10.1155/2021/6614812
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Literature inclusion and exclusion criteria.
| Inclusion criteria(according to the “PICOS” standard) | Exclusion criteria |
|---|---|
| (1) Research object: Gram-negative bacteria | (1) Duplicate literature |
The identification accuracy rate of species from included articles.
| Author | Year | Genotype | Total | Events | Detection rate |
|---|---|---|---|---|---|
| Tato [ | 2016 | OXA-48 | 40 | 38 | 95% |
| 2016 | NDM | 26 | 26 | 100% | |
| 2016 | VIM | 31 | 29 | 93.55% | |
| 2016 | KPC | 30 | 29 | 96.67% | |
| 2016 | IMP | 27 | 26 | 96.30% | |
|
| |||||
| McMullen [ | 2017 | OXA-48 | 12 | 12 | 100% |
| 2017 | NDM | 27 | 27 | 100% | |
| 2017 | VIM | 7 | 7 | 100% | |
| 2017 | KPC | 84 | 84 | 100% | |
| 2017 | IMP | 1 | 1 | 100% | |
|
| |||||
| Moore [ | 2017 | OXA-48 | 113 | 111 | 98.23% |
| 2017 | NDM | 88 | 88 | 100% | |
| 2017 | VIM | 92 | 87 | 94.57% | |
| 2017 | KPC | 110 | 110 | 100% | |
| 2017 | IMP | 80 | 76 | 95% | |
|
| |||||
| Findlay [ | 2015 | OXA-48 | 100 | 100 | 100% |
| 2015 | NDM | 100 | 100 | 100% | |
| 2015 | VIM | 100 | 100 | 100% | |
| 2015 | KPC | 100 | 100 | 100% | |
| 2015 | IMP | 24 | 17 | 71% | |
|
| |||||
| Hoyos-Mallecot [ | 2017 | OXA-48 | 10 | 10 | 100% |
| 2017 | KPC | 1 | 1 | 100% | |
|
| |||||
| Kost [ | 2017 | OXA-48 | 9 | 8 | 88.90% |
| 2017 | NDM | 25 | 25 | 100% | |
| 2017 | VIM | 3 | 3 | 100% | |
| 2017 | KPC | 43 | 41 | 95.30% | |
| 2017 | IMP | 2 | 2 | 100% | |
|
| |||||
| Vanstone [ | 2018 | OXA-48 | 24 | 24 | 100% |
| 2018 | NDM | 22 | 22 | 100% | |
| 2018 | VIM | 19 | 19 | 100% | |
| 2018 | KPC | 3 | 3 | 100% | |
| 2018 | IMP | 1 | 1 | 100% | |
|
| |||||
| Traczewski [ | 2018 | OXA-48 | 89 | 89 | 100% |
| 2018 | NDM | 78 | 78 | 100% | |
| 2018 | VIM | 82 | 82 | 100% | |
| 2018 | KPC | 84 | 84 | 100% | |
| 2018 | IMP | 40 | 40 | 100% | |
|
| |||||
| Cointe [ | 2019 | OXA-48 | 10 | 10 | 100% |
| 2019 | NDM | 11 | 11 | 100% | |
| 2019 | VIM | 7 | 7 | 100% | |
| 2019 | KPC | 10 | 10 | 100% | |
| 2019 | IMP | 1 | 1 | 100% | |
Characteristics of included articles.
| Arthur | Year | Experiment design | Golden standard | Geographical distribution of strains | Source of samples | Total sample | Genotype | Total | Events | Detection rate |
|---|---|---|---|---|---|---|---|---|---|---|
| Tato [ | 2016 | prospective | culture and sequence | UK | 383 clinical isolates and 250 contrived isolates | 633 | OXA-48 | 40 | 38 | 95% |
| NDM | 26 | 26 | 100% | |||||||
| VIM | 31 | 29 | 93.55% | |||||||
| KPC | 30 | 29 | 96.67% | |||||||
| IMP | 27 | 26 | 96.30% | |||||||
|
| ||||||||||
| McMullen [ | 2017 | retrospective | laboratory-developed PCR assays or must have been previously characterized as part of the CDC | USA, UK and Spain | 189 clinical isolates | 189 | OXA-48 | 12 | 12 | 100% |
| NDM | 27 | 27 | 100% | |||||||
| VIM | 7 | 7 | 100% | |||||||
| KPC | 84 | 84 | 100% | |||||||
| IMP | 1 | 1 | 100% | |||||||
|
| ||||||||||
| Moore [ | 2017 | prospective | culture and sequence | France | 755 clinical isolates and 432 contrived isolates | 1187 | OXA-48 | 113 | 111 | 98.23% |
| NDM | 88 | 88 | 100% | |||||||
| VIM | 92 | 87 | 94.57% | |||||||
| KPC | 110 | 110 | 100% | |||||||
| IMP | 80 | 76 | 95% | |||||||
|
| ||||||||||
| Findlay [ | 2015 | retrospective | in-house PCR | UK | 450 isolates cultured from 2808C freezer storage or from the sender's original slopes on MacConkey agar plates with a 10 mg ertapenem disc | 450 | OXA-48 | 100 | 100 | 100% |
| NDM | 100 | 100 | 100% | |||||||
| VIM | 100 | 100 | 100% | |||||||
| KPC | 100 | 100 | 100% | |||||||
| IMP | 24 | 17 | 71% | |||||||
|
| ||||||||||
| Hoyos-Mallecot [ | 2017 | retrospective | culture and sequence | USA and Italy | 241 clinical isolates | 241 | KPC | 1 | 1 | 100.00% |
| OXA-48 | 10 | 10 | 100% | |||||||
|
| ||||||||||
| Kost [ | 2017 | retrospective | determined by PCR or whole genome sequencing | USA and Europe | 96 clinical isolates | 96 | OXA-48 | 9 | 8 | 88.90% |
| NDM | 25 | 25 | 100% | |||||||
| VIM | 3 | 3 | 100% | |||||||
| KPC | 43 | 41 | 95.30% | |||||||
| IMP | 2 | 2 | 100% | |||||||
|
| ||||||||||
| Vanstone [ | 2018 | retrospective | in-house antimicrobial susceptibility testing(AST) | USA | 26 clinical isolates and 69 screening samples | 95 | OXA-48 | 24 | 24 | 100% |
| NDM | 22 | 22 | 100% | |||||||
| VIM | 19 | 19 | 100% | |||||||
| KPC | 3 | 3 | 100% | |||||||
| IMP | 1 | 1 | 100% | |||||||
|
| ||||||||||
| Traczewski [ | 2018 | retrospective | culture and sequence | USA | 428 clinical isolates and 57 fresh isolates | 485 | OXA-48 | 89 | 89 | 100% |
| NDM | 78 | 78 | 100% | |||||||
| VIM | 82 | 82 | 100% | |||||||
| KPC | 84 | 84 | 100% | |||||||
| IMP | 40 | 40 | 100% | |||||||
|
| ||||||||||
| Cointe [ | 2019 | prospective | PCR | France | 53 clinical isolates | 53 | OXA-48 | 10 | 10 | 100% |
| NDM | 11 | 11 | 100% | |||||||
| VIM | 7 | 7 | 100% | |||||||
| KPC | 10 | 10 | 100% | |||||||
| IMP | 1 | 1 | 100% | |||||||
The quality evaluation results for each study included in the meta-analysis.
| Author | Year | QUDAS-2 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Tato [ | 2016 | Y | Y | UC | UC | UC | Y | UC | UC | Y | Y | Y |
| McMullen [ | 2017 | N | N | Y | N | UC | Y | Y | Y | Y | N | Y |
| Moore [ | 2017 | N | Y | Y | UC | UC | Y | UC | UC | N | Y | N |
| Findlay [ | 2015 | Y | Y | UC | N | UC | Y | Y | Y | Y | Y | N |
| Hoyos-Mallecot [ | 2017 | Y | UC | N | UC | UC | Y | UC | Y | Y | Y | Y |
| Kost [ | 2017 | UC | N | N | N | UC | Y | Y | Y | Y | N | N |
| Vanstone [ | 2018 | Y | Y | UC | N | UC | Y | Y | Y | Y | Y | N |
| Traczewski [ | 2018 | Y | Y | UC | N | UC | Y | Y | Y | Y | Y | N |
| Cointe [ | 2019 | N | N | UC | N | UC | Y | Y | Y | Y | Y | Y |
Figure 1Forest map for the analysis of the carbapenemase gene Identification ratio at the genetic level.
Figure 2Sensitivity analysis of carbapenemase genes.
Figure 3Funnel plot incorporating carbapenemase genes.