Candidemia Cases Caused by Candida parapsilosis Complex Species: Epidemiology and Antifungal Susceptibility of Strains.

BACKGROUND: Candida parapsilosis is a common non-albicans Candida species isolated from blood cultures. The increase in fluconazole-resistant C. parapsilosis complex isolates is worrying, especially in strains with Y132F changes in the ERG11 gene since this ultimately leads to outbreaks. This study aimed to investigate the distribution and antifungal susceptibility of C. parapsilosis complex species isolated from bloodstream, clinical characteristics of patients, prevalence of risk factors, and to determine ERG11 gene region mutations in strains that were not susceptible to fluconazole. METHODS: Between 2014 and 2018, 96 patients with C. parapsilosis candidemia were evaluated. Thermo Scientific SensititerTM YeastOneTM YO10 was used for antifungal susceptibility testing. The ERG11 gene region sequence analysis was performed for fluconazole non-susceptible isolates. RESULTS: All the strains were defined as C. parapsilosis sensu stricto. The rate of fluconazole resistance was 6.3%, and that of susceptibility to fluconazole at an increased dose was 2.1%. Two isolates showed Y132F or G458S ERG11 changes associated with azole resistance, with the most common change being identified as R398I, which was shown not to encode azole resistance. No resistance to echinocandins and amphotericin B was observed. The use of broad-spectrum antibiotics (83.3%) was the most common risk factor. CONCLUSIONS: This study highlights the importance of susceptibility testing when making a decision to use fluconazole in the treatment of C. parapsilosis candidemia. The presence of resistance associated with ERG11 Y132F changes indicated that azole resistance should be closely monitored. Increasing awareness of fluconazole-resistant C. parapsilosis candidemia will help identify strategies to overcome these infections.

Evaluation of the BD Phoenix CPO Detect Test for the detection of carbapenemase-producing Enterobacterales.

Aims: This study aimed to evaluate the performance of the BD Phoenix CPO Detect Test (BD Diagnostic Systems) for the detection and classification of carbapenemase-mediated carbapenem resistance. Methods: A total of 447 Enterobacterales strains were included in the study. All strains were tested with the BD Phoenix CPO Detect Test and the modified carbapenem inactivation method. Results: Carbapenemase production was detected in 157 of 159 carbapenemase producers, including 95.7% of class B and 99.2% of class D isolates using the BD Phoenix CPO Detect Test. BD Phoenix CPO Detect has a sensitivity of 98.7% and a specificity of 95.5% in detecting carbapenemase production. Conclusion: The classification of OXA-48 and class B carbapenemases, the most common carbapenemases circulating in Turkey, was highly accurate.

Enterobacterales are a type of bacteria that usually live harmlessly in the gut of humans. However, if the bacteria get access to the bladder or bloodstream, they can cause infection. Carbapenemase-producing Enterobacterales (CPE) are a type of bacteria that can cause carbapenem antibiotic-resistant infections, a group of powerful antibiotics. The rapid spread of CPE will pose an increasing threat to public health and medical treatment practices; therefore, rapid detection of CPE is crucial. This study assessed the performance of the BD Phoenix CPO Detect Test for the detection of carbapenemase-producing Enterobacterales. The BD Phoenix CPO Detect Test offers both the detection of carbapenemase production and antimicrobial susceptibility testing simultaneously and can be clinically useful for determining possible treatment options.

Alterations in vaginal microbiota among pregnant women with COVID-19.

The maintenance of vaginal microbiota is an important factor to achieve optimum pregnancy outcomes. The study aims to describe the alterations in the composition of vaginal microbiota in pregnant women with coronavirus disease 2019 (COVID-19). This was a prospective case-control study. Vaginal swabs were collected from uninfected pregnant women (n = 28) and pregnant women with COVID-19 (n = 19) during the active phase of infection and within a month after recovering from infection. The vaginal microbiota on the swabs was examined by 16S rRNA gene sequencing. Shannon index indicates that alpha diversity is significantly higher in women with COVID-19 (p = 0.012). There was a significant decrease in Firmicutes (p = 0.014) with an increase in Bacteroidota (p = 0.018) phyla and a decrease in Lactobacillus (p = 0.007) genus in women with COVID-19 than those of uninfected pregnant women. The relative abundance of L. crispatus, L. iners, L. gasseri, and L. jensenii were lower in the COVID-19 group than in uninfected pregnant women. In subgroup analysis, the amount of Ureaplasma spp. was higher in women with moderate/severe than those of asymptomatic/mild disease (p = 0.036). The study revealed that vaginal dysbiosis with low abundance of Lactobacillus species occurred in pregnant women infected with severe acute respiratory syndrome coronavirus-2. These findings may lead to new studies to elucidate the risk of pregnancy adverse outcomes related to COVID-19.

The association between Acinetobacter baumannii infections and the COVID-19 pandemic in an intensive care unit.

We aimed to describe the increased rate of Acinetobacter baumannii infections during the COVID-19 pandemic and define its significance within the last five years. This study was performed in a tertiary hospital with 280 beds and included all patients infected with A. baumannii in the intensive care unit between January 1, 2018, and June 30, 2022. A. baumannii-infected patients in the intensive care unit 27 months before the pandemic and 27 months during the pandemic were included. Pulsed-field gel electrophoresis was performed to assess clonal relatedness. The infection control measures were specified based on the findings and targeted elimination. In total, 5718 patients were admitted to the intensive care unit from January 1st, 2018, to June 30th, 2022. A. baumannii infection was detected in 81 patients. Compared to the pre-pandemic era, the rate of A. baumannii infection during the pandemic was 1.90 times higher (OR: 1.90, 95% CI: [1.197, 3.033]). Clonality assessment of multidrug-resistant A. baumannii samples revealed eight clusters with one main cluster comprising 14/27 isolates between 2021 and 2022. The case fatality rate of the pre-pandemic and pandemic era was not different statistically (83.33% vs. 81.48%, p = 0.835). Univariate analysis revealed the association of mechanical ventilation (p = 0.002) and bacterial growth in tracheal aspirate (p = 0.001) with fatality. During the COVID-19 pandemic, potential deficits in infection control measures may lead to persistent nosocomial outbreaks. In this study, the introduction of enhanced and customized infection control measures has resulted in the containment of an A. baumannii outbreak.

Association of SARS-CoV-2 IgG Antibody Levels with Clinical/Laboratory Characteristics in COVID-19 Patients: Data from a Turkish Study.

BACKGROUND: COVID-19 causes clinical manifestations ranging from asymptomatic infection to multi-organ failure. It is reported that those with severe disease have higher anti-SARS-CoV-2 antibody titers compared to asymptomatic or mild cases. We evaluated the correlation of antibody responses with laboratory and clinical indicators in COVID-19 patients. METHODS: Seventy-nine male and 66 female patients (mean age: 39) with at least one positive SARS-CoV-2 RT-PCR test and SARS-CoV-2 IgG antibody result after acute infection were included. RESULTS: Seventy-six (52%), 45 (31%), and 24 (17%) patients had mild, moderate, and severe clinical findings, respectively. Patients with high body mass index and advanced age had significantly more severe disease (p < 0.001). A significant correlation was found between the increase in lymphopenia, C-reactive protein, ferritin, D-dimer, and lactate dehydrogenase and the severity of clinical findings (p = 0.0001). SARS-CoV-2 IgG antibody test was positive in 128 (88.3%) patients. A significant correlation was found between disease severity and antibody levels in the comparison of all groups (p < 0.001). CONCLUSIONS: Long-term monitoring of immune responses will be required to determine the appropriate time for the administration of new vaccines.