Oligella spp.: A systematic review on an uncommon urinary pathogen.

BACKGROUND: Oligella is an uncommon Gram-negative coccobacillus that was first thought to belong to the urogenital tract. The genus Oligella comprises two species that were recovered from various samples worldwide. METHODS: We perform a systematic review focusing on Oligella microbiological characteristics, habitat, role in Human microbiome and infection, and antimicrobial susceptibility. RESULTS: In humans, Oligella is mainly found as part of the microbiome of individuals with predisposing conditions. Oligella were also associated with invasive infections in patients with underlying diseases. Nevertheless, their prevalence remains to determine. Oligella culture requires up to 48 h on agar media in vitro, while urinary samples are usually incubated for 24 h. Consequently, microbiologists should be prompt to prolong the incubation of agar media when the direct examination showed Gram-negative coccobacilli. Oligella is accurately identified using MALDI-TOF mass spectrometry, but biochemical methods often provided inconsistent results. Specific guidelines for antimicrobial susceptibility testing of Oligella lack but the incubation could require up to 48 h of incubation. In contrast to O. urethralis, which is susceptible to third-generation cephalosporin, O. ureolytica is likely resistant to numerous antimicrobials. Genectic determinants of resistance were identified for beta-lactams and aminoglycosides. CONCLUSION: Oligella is an uncommon pathogen that can be underrecognized. Microbiologists should be prompt to prolong the incubation of agar media plated with urines when the direct examination showed Gram-negative coccobacilli. Carbapenems should probably be given for the empirical treatment.

Evaluation of the MTS™ aztreonam-avibactam strip (Liofilchem) on New Delhi metallo-ß-lactamase-producing Enterobacterales.

The combination of ceftazidime-avibactam (CAZ-AVI) and aztreonam (ATM) is used to treat MBL-producing Enterobacterales-related infections. The new combination aztreonam-avibactam (AZA) is currently in development. We compared results obtained with the new MIC test strip (MTS) AZA (Liofilchem) with broth microdilution method (BMD) on 41 MBL-producing Enterobacterales from 41 clinical samples. The MTS AZA was also compared to combination testing method using CAZ-AVI and ATM strips. Compared to BMD, categorical agreement (CA) was 100%. Compared with combination testing method, CA was 97.6%. The MTS AZA can be used to determine MICs levels of AZA or CAZ-AVI/ATM combinations.

Comparison of the Alinity M STI with the GeneXpert CT/NG for the detection of sexually transmitted microorganisms.

We assess the performances of the Alinity M STI assay (Abbott Molecular) in comparison to the Xpert CT/NG assay (Cepheid). We first retrospectively used a collection of 70 frozen samples of which 33, 31, and 6 were positives for Chlamydia trachomatis (CT), Neisseria gonorrhoea (NG), and both micro-organisms respectively. The Alinity M STI and the Xpert CT/NG results were in accordance for all. The mean difference in cycle threshold values between the Xpert CT/NG and the Alinity M STI were -1.6 and 0.0 for CT and NG respectively. Then 214 fresh samples collected from 121 patients were prospectively tested with both instruments. Anal swabs, throat swabs, vaginal swabs, and urines accounted each for about 25%. Seven (3.2%) samples of which 5 anal swabs, provided inconclusive results with the Alinity M STI. In conclusion, the Alinity M STI is an accurate device for the microbiological diagnosis of NG and CT infections.

Can Haematological Parameters Discriminate COVID-19 from Influenza?

Symptoms of COVID-19 are similar to the influenza virus, but because treatments and prognoses are different, it is important to accurately and rapidly differentiate these diseases. The aim of this study was to evaluate whether the analysis of complete blood count (CBC), including cellular population (CPD) data of leukocytes and automated flow cytometry analysis, could discriminate these pathologies. In total, 350 patients with COVID-19 and 102 patients with influenza were included between September 2021 and April 2022 in the tertiary hospital of Suresnes (France). Platelets were lower in patients with influenza than in patients with COVID-19, whereas the CD16pos monocyte count and the ratio of the CD16pos monocytes/total monocyte count were higher. Significant differences were observed for 9/56 CPD of COVID-19 and flu patients. A logistic regression model with 17 parameters, including among them 11 CPD, the haemoglobin level, the haematocrit, the red cell distribution width, and B-lymphocyte and CD16pos monocyte levels, discriminates COVID-19 patients from flu patients. The sensitivity and efficiency of the model were 96.2 and 86.6%, respectively, with an area under the curve of 0.862. Classical parameters of CBC are very similar among the three infections, but CPD, CD16pos monocytes, and B-lymphocyte levels can discriminate patients with COVID-19.