Grys, Thomas E.

Abstract OBJECTIVE To compare 2 point-of-care lateral flow assays (LFAs) with immunodiffusion (ID) IgG results for anti-coccidioidal antibody detection in dogs with coccidioidomycosis. A further aim was to compare the quantifiable output of 1 of the LFAs to ID antibody titers. SAMPLE Serum banked from 73 client-owned dogs diagnosed with pulmonary or disseminated coccidioidomycosis. METHODS ID was used to determine antibody presence and titer against a coccidioidal antigen preparation. All sera were subsequently tested on an LFA based on recombinant chitinase 1 (CTS1) and the commercially available sōna LFA. LFA results were analyzed and compared to ID IgG results and clinical diagnosis. RESULTS All assays showed similar sensitivities in detecting anti-coccidioidal antibodies (83.6% to 89.0%). When compared with ID IgG, the CTS1 LFA had a positive percent agreement of 100%, while the sōna LFA had a positive percent agreement of 91.4%. Since the CTS1 LFA is semiquantitative, we were able to compare test line densities with ID titers and found a strong correlation between the 2 assays (Spearman ρ = 0.82). CLINICAL RELEVANCE This is the first side-by-side evaluation of a commercially available LFA (sōna) and a newer more rapid anti-CTS1 antibody LFA using serum from dogs with coccidioidomycosis. Both LFAs tested have similar sensitivity to ID IgG results. The CTS1 LFA can be read after 10 minutes and is semiquantitative, while the sōna LFA is read after 30 minutes, and the results are subject to interpretation. Accurate and fast detection of anti-coccidioidal antibodies allows clinicians to initiate appropriate treatment without diagnostic delay.

Abstract Introduction/Objective Our laboratory implemented a full COPAN WASPLab microbiology automation line in March of 2023. Prior to this implementation, our laboratory routinely observed potential bacterial contamination of sterile specimens, as well as culture plates in which the specimens were not struck out, due to a large number of new staff members and heavy workloads. Both of these quality issues directly impact patient care due to potential misleading or delayed results. We hypothesized that automation of the plating and incubation steps would reduce both of these quality issues significantly. Methods/Case Report Potential contamination and plates not struck were self-reported by technologists during pre- implementation (July 2022-Feb 2023) and post-implementation (Mar-Apr 2023) periods. Potential contamination was defined as one or two colonies of bacteria on a single agar plate, consistent with skin fora, from a normally sterile source specimen and reviewed by the Director for potential clinical correlation. Plates unstruck in the post- implementation period continued to include those manually set up. A 2 two proportion z-test was performed to compare pre and post implementation data. Results (if a Case Study enter NA) A total of 3,055 and 1,750 sterile source cultures were analyzed in the pre- and post-implementation periods, respectively. Of these, 109 versus 8 were designated as potential contamination, respectively, resulting in a significant reduction (Z stat 6.7, p<0.0001). For the plate streaking portion, 22,814 and 7,211 cultures were analyzed in the pre- and post-implementation periods, respectively. Of these, 21 versus 3 plates were not struck, respectively, resulting in a greater than 2-fold reduction per culture, but did not meet significance. Conclusion Implementation of microbiology automation significantly reduced skin flora contamination of sterile source cultures. Proportions of unstruck plates were also reduced, although these did not meet significance, likely due to the low numbers.

Abstract Introduction/Objective In January of 2021 our laboratory experienced the occupational exposure of 3 technologists to the select agent Burkholderia pseudomallei due to improper recognition and manipulation outside a biosafety cabinet. Subsequently, an interactive computer module was created to train technologists on timely recognition, followed by a “fake” patient test to evaluate comprehension. In that initial period, 100% compliance and successful recognition was demonstrated. To evaluate sustained compliance and recognition, another wave of evaluation was performed Jan- Dec 2022. Methods/Case Report During the study period several new staff members were hired and demonstrated compliance with completing the computer module. Clinical isolates suspicious for a select agent were reported to the Medical Director on rounds daily and reviewed for potential exposure, which was defined as manipulation of the suspicious isolate outside of the biosafety cabinet. Additional challenge “fake” patients were circulated. Results (if a Case Study enter NA) During the study period, 16 isolates were deemed suspicious for select agents based on macroscopic and microscopic morphology and biochemical reactions. Of these, 0 resulted in laboratory exposures. Of the challenge isolates, 1 resulted in a near-miss potential for exposure due to the lack of recognition of macroscopic characteristics. Conclusion The use of an interactive computer module focused around timely recognition and safe handling of potential select agents resulted in sustained laboratory safety and avoidance of potential occupational exposures.

Abstract Background The BioFire® FilmArray® Gastrointestinal Pathogen Panel (GIPP) tests for 22 potential pathogens in stool, including Clostridioides difficile. C. difficile nucleic acid is detected via nested polymerase chain reaction (PCR) targeting toxin A (TcdA) and/or toxin B (TcdB) genes. While PCR-based diagnostic methods are highly sensitive, they lack specificity to differentiate colonization from C. difficile infection (CDI). Mayo Clinic Arizona (MCA) uses enzyme immunoassay (EIA) testing for toxin A/B and glutamate dehydrogenase antigens with reflex to PCR for discordance as the primary algorithm for diagnosing CDI; however, GIPP PCR testing circumvents this algorithm. When used in patients with low pretest probability for CDI, clinical false positives can lead to inappropriate diagnosis and treatment of colonization. GIPA Results in the Electronic Medical Record Pre-Intervention MCA Standalone C. difficile Testing Algorithm Abbreviations – EIA, enzyme immunoassay; GDH, glutamate dehydrogenase; NAAT, nucleic acid amplification test Methods We convened a multidisciplinary quality improvement team to reduce the detection and treatment of C. difficile colonization secondary to GIPP test results. Surveys were sent to providers and nurses as part of a formal gap analysis and included questions around ordering patterns, knowledge of appropriate tests, and associated costs. Baseline data was compiled from GIPP orders in MCA from 1/1/2022-9/30/2022. Results There were 1978 GIPP orders for 1694 patients during the study period (∼7 GIPPs/day). Most orders (65%) originated from ambulatory settings. The most common positive target was C. difficile (355/723, 49%), which resulted in treatment for suspected CDI in 94.9% (337/355) of cases. Of the 49 providers who responded to the survey, 86% ordered the GIPP at least monthly. Testing for C. difficile was the 2nd most common reason for ordering the GIPP. Most providers underestimated the cost of the panel and were unfamiliar with the differences between the GIPP and EIA testing algorithm. Nurses sought clarification on stool samples suitable for GIPP testing. Following education and modifications to ordering in the electronic health record, the decision was made to remove the C. difficile target from the GIPP. Provider Understanding of C. difficile Testing Methods GIPA Results in the Electronic Medical Record Post-Intervention Conclusion Multiplex PCR panels are comprehensive but require careful implementation to facilitate diagnostic stewardship. Facilities with robust standalone C. difficile testing algorithms may consider removing the C. difficile target from the GIPP. Disclosures All Authors: No reported disclosures

ABSTRACTCoccidioidesspp. are dimorphic fungi that are capable of infecting human and non-human mammals and can cause diverse manifestations of coccidioidomycosis or Valley fever (VF). In combination with clinical symptoms and radiographic findings, antibody-based diagnostic tests are often used to diagnose and monitor patients with VF. Chitinase 1 (CTS1) has previously been identified as the seroreactive antigen used in these diagnostic assays to detect anticoccidial IgG. Here, an indirect enzyme-linked immunosorbent assay to detect IgG to CTS1 demonstrated 165 of 178 (92.7%) patients with a positive result by immunodiffusion (ID) and/or complement fixation (CF) had antibodies to the single antigen CTS1. We then developed a rapid antibody lateral flow assay (LFA) to detect anti-CTS1 antibodies. Out of 143 samples tested, the LFA showed 92.9% positive percent agreement [95% confidence interval (CI), 84.3%–96.9%] and 97.7% negative percent agreement (95% CI, 87.9%–99.6%) with ID and CF assays. Serum or plasma from canines, macaques, and dolphins was also tested by the CTS1 LFA. Test line densities of the CTS1 LFA correlated in a linear manner with the reported CF and ID titers for human and non-human samples, respectively. This 10-min point-of-care test for the rapid detection of anti-coccidioidal antibodies could help to inform healthcare providers in real-time, potentially improving the efficiency of healthcare delivery.

In southwestern and western regions of the United States, at least half a million diagnostic tests for coccidioidomycosis (valley fever) are run annually. Enzyme immunoassays (EIAs) are blood tests which require precise dilution of patient serum prior to testing.

Abstract Rapid point-of-care (POC) diagnosis of bacterial infection diseases provides clinical benefits of prompt initiation of antimicrobial therapy and reduction of the overuse/misuse of unnecessary antibiotics for nonbacterial infections. We present here a POC compatible method for rapid bacterial infection detection in 10 min. We use a large-volume solution scattering imaging (LVSi) system with low magnifications (1–2×) to visualize bacteria in clinical samples, thus eliminating the need for culture-based isolation and enrichment. We tracked multiple intrinsic phenotypic features of individual cells in a short video. By clustering these features with a simple machine learning algorithm, we can differentiate Escherichia coli from similar-sized polystyrene beads, distinguish bacteria with different shapes, and distinguish E. coli from urine particles. We applied the method to detect urinary tract infections in 104 patient urine samples with a 30 s LVSi video, and the results showed 92.3% accuracy compared with the clinical culture results. This technology provides opportunities for rapid bacterial infection diagnosis at POC settings.

Abstract Melioidosis, an infection caused by Burkholderia pseudomallei, has a very high risk of mortality when treated, with an even higher risk of fatality if undiagnosed or not treated appropriately. It is endemic to Asia, Australia, South America, and the Caribbean; however, the number of melioidosis cases reported in the United States has been increasing. Therefore, physicians should be aware of this clinical entity and its possible presentations. Mycotic aneurysms due to B. pseudomallei are extremely rare, accounting for ~1%–2% of cases. Here we describe a rare case of melioidosis presenting as a mycotic aneurysm in the United States, highlight the potential for diagnostic challenges and epidemiologic concerns, and provide a review of mycotic aneurysm cases due to B. pseudomallei published to date.

Surgical site infections (SSI) are a significant burden to patients and health care systems. They increase mortality rates, length of hospital stays, and associated health care costs.