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China Tropical Medicine ; (12): 997-2022.
Article in Chinese | WPRIM | ID: wpr-979982

ABSTRACT

@#Abstract: Objective To analyze the phenotype and drug resistance of Robinsoniella peoriensis strains isolated from the blood of patients with prostate cancer and to learn the epidemiological characteristics of the strains. Methods Culture medium growth characteristics analysis, Gram staining, VITEK MS mass spectrometry identification, in vitro drug susceptibility test, 16S rRNA gene sequencing were performed on the strains, and case summary analysis, historical drug sensitivity results comparison and phylogenetic tree construction were carried out. Results Four of the repeatability tests of mass spectrometry identification were R. peoriensis, and the identification accuracy was 99.9%, which was the first time that mass spectrometry analysis in China accurately detected this strain. The 16S rRNA gene sequencing confirmed that the strain was R. peoriensis, and GenBank accession number is OL826796. There are currently 18 cases of R. peoriensis related to human infection in the world, mainly including bloodstream infection, prosthetic joint infection, and postoperative wound infection. The homology of OL826796 in this case with HGUE-09/943 (GU322806.1) isolated in Spanish was 99.58%; in vitro drug susceptibility showed that OL826796 was resistant to penicillin and clindamycin, and sensitive to vancomycin, imipenem, tetracycline and metronidazole. Statistical analysis of drug susceptibility of 18 cases found that R. peoriensis could be tested for drug susceptibility by E-test method: penicillin 100% (7/7), clindamycin 70% (7/10), ampenem 0% (0/4), metronidazole 0% (0/9), meropenem 0% (0/4), vancomycin 0% (0/3). Conclusion R. peoriensis is a rare anaerobic-positive bacillus. When sterile site infection occurs, attention should be paid to timely communication with clinical reports, and penicillin and clindamycin should be used cautiously to fight infection, so as to improve the cure rate of postoperative immunocompromised patients.

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