MATERIALS AND METHODS: We conducted a retrospective, observational study among burn patients with A.ba admitted to the Burn Unit at Dr. Soetomo Hospital from January 2020 to December 2021. Potential risk factors for MDR-A.ba were analysed by univariate and multivariate analysis. The patients diagnosed with MDR-A.ba wound infection were included in the case group. The patients diagnosed with non MDR, these are: (1) the patients isolated micro-organisms other than A.ba, (2) sterile isolates, and (3) the patients isolated as A.ba but not MDR, were included in the control group.
RESULTS: A total of 120 burn patients were included in this study. During this study, 24% burn patients were found to have Acinetobacter baumannii and 79% (from 24% of Acinetobacter baumannii) had MDR-A.ba. According to univariate analysis, risk factors that significant were: Abbreviated Burn Severity Index (ABSI) (p = 0,002; OR: 6.10; CI: 1,68 - 21,57); hospital Length Of Stay (LOS) (p < 0,000; OR: 6.95; CI: 2,56 - 18,91) and comorbid (p = 0,006; OR: 3,72; CI: 1,44 - 9,58). But, after analysed by multivariate analysis, only ABSI was the significant factor (p = 0,010; OR: 1,70; CI: 1,23 - 2,36).
CONCLUSION: Based on univariate analysis, the significant risk factors for MDR-A.ba were: ABSI, hospital length of stay and comorbid. But after adjusted by multivariate analysis, only ABSI was the significant factor.
METHODS: Bacterial DNA was extracted from biopsy samples of patients presenting dyspepsia symptoms with H. pylori positive from cultures and histology. DNA was amplified from the V3-V4 regions of the 16S rRNA gene. In-vitro E-test was used to detect antibiotic resistance. Microbiome community analysis was conducted through α-diversity, β-diversity, and relative abundance.
RESULTS: Sixty-nine H. pylori positive samples were eligible after quality filtering. Following resistance status to five antibiotics, samples were classified into 24 sensitive, 24 single resistance, 16 double resistance, 5 triple resistance. Samples were mostly resistant to metronidazole (73.33%; 33/45). Comparation of four groups displayed significantly elevated α-diversity parameters under the multidrug resistance condition (all P <0.05). A notable change was observed in triple-resistant compared to sensitive (P <0.05) and double-resistant (P <0.05) groups. Differences in β-diversity by UniFrac and Jaccard were not significant in terms of the resistance (P = 0.113 and P = 0.275, respectively). In the triple-resistant group, the relative abundance of Helicobacter genera was lower, whereas that of Streptococcus increased. Moreover, the linear discriminant analysis effect size (LEfSe) was associated with the presence of Corynebacterium and Saccharimonadales in the single-resistant group and Pseudomonas and Cloacibacterium in the triple-resistant group.
CONCLUSION: Our results suggest that the resistant samples showed a higher trend of diversity and evenness than the sensitive samples. The abundance of H. pylori in the triple-resistant samples decreased with increasing cohabitation of pathogenic bacteria, which may support antimicrobial resistance. However, antibiotic susceptibility determined by the E-test may not completely represent the resistance status.