Performance evaluation of the high-throughput quantitative Alinity m BK virus assay.

BK virus (BKV) infection or reactivation in immunocompromised individuals can lead to adverse health consequences including BKV-associated nephropathy (BKVAN) in kidney transplant patients and BKV-associated hemorrhagic cystitis (BKV-HC) in allogeneic hematopoietic stem cell transplant recipients. Monitoring BKV viral load plays an important role in post-transplant patient care. This study evaluates the performance of the Alinity m BKV Investigational Use Only (IUO) assay. The linearity of the Alinity m BKV IUO assay had a correlation coefficient of 1.000 and precision of SD ≤ 0.25 Log IU/mL for all panel members tested (2.0-7.3 Log IU/mL). Detection rate at 50 IU/mL was 100%. Clinical plasma specimens tested comparing Alinity m BKV IUO to ELITech MGB Alert BKV lab-developed test (LDT) on the Abbott m2000 platform using specimen extraction protocols for DNA or total nucleic acid (TNA) resulted in coefficient of correlation of 0.900 and 0.963, respectively, and mean bias of 0.03 and -0.54 Log IU/mL, respectively. Alinity m BKV IUO compared with Altona RealStar BKV and Roche cobas BKV assays demonstrated coefficient of correlation of 0.941 and 0.980, respectively, and mean bias of -0.47 and -0.31 Log IU/mL, respectively. Urine specimens tested on Alintiy m BKV IUO and ELITech BKV LDT using TNA specimen extraction had a coefficient of correlation of 0.917 and mean bias of 0.29 Log IU/mL. The Alinity m BKV IUO assay was performed with high precision across the dynamic range and correlated well with other available BKV assays. IMPORTANCE: BK virus (BKV) in transplant patients can lead to adverse health consequences. Viral load monitoring is important in post-transplant patient care. This study evaluates the Alinity m BKV assay with currently available assays.

Skin and Soft Tissue Actinomycosis in Children and Adolescents.

BACKGROUND: Pediatric actinomycosis studies are limited to case reports or small case series. In this retrospective cohort study, we aimed to describe characteristics of skin and soft tissue actinomycosis in adolescents and children. METHODS: We conducted the study from January 2019 to December 2022, including patients ≤21 years of age with at least 1-year follow-up data. All clinical cultures obtained under sterile conditions with Actinomyces growth were included. RESULTS: One hundred four patients met inclusion criteria; median age 19 (interquartile range: 17-20) years, 68.3% female, 46.2% Black and 47.1% Hispanic. The median antibiotic treatment duration was 10 (7-10) days, and majority of patients received treatment with non-first-line Actinomyces antibiotics. Infectious disease consultation was requested for only 7 patients during their initial skin and soft tissue actinomycosis treatment. One-third of the patients with skin and soft tissue actinomycosis had documented recurrence within a median of 10 (interquartile range: 6-16) months of the initial episode. Monobacterial culture growth (85.7% vs. 63.8%, P = 0.02), patients with body mass index >25 (75% vs. 52.6%, P = 0.04) and patients with prior abscess in the same area (18.8% vs. 51.4%, P = 0.001) were significantly higher in patients with recurrent actinomycosis compared to the nonrecurrent group. In a univariate logistic regression model, they were found to be significantly associated with recurrence; monobacterial growth [odds ratio (OR): 3.4; 95% confidence interval (CI): 1.2-9.9], body mass index >25 (OR: 2.7; 95% CI, 1.1-7.0) and prior abscess (OR: 4.6; 95% CI: 1.9-11.2). CONCLUSIONS: Our study results highlight the importance of considering Actinomyces species in skin and soft tissue infections, especially in recurrent ones, and risk factors for recurrence. Suboptimal antibiotic utilization, very low numbers of consultations with infectious diseases and high recurrence rate suggest that providers should be informed and updated regarding this rare but hard-to-treat infection.

Protocol for isolating single species of bacteria with swarming ability from human feces.

Understanding the specific movements of bacteria isolated from human feces can serve as a novel diagnostic and therapeutic tool for inflammatory bowel disease. Here, we present a protocol for a microbial swarming assay and to isolate the bacteria responsible for swarming activity. We describe steps for identifying bacteria using MALDI-TOF mass spectrometry and whole-genome sequencing. We then detail procedures for validating findings by observing the same swarming phenotype upon reperforming the swarming assay. For complete details on the use and execution of this protocol, please refer to De et al.1.