ObjectivesWe evaluated the performance and time to result for pathogen identification (ID) and antimicrobial susceptibility testing (AST) of the Accelerate Pheno™ system (AXDX) compared with standard of care (SOC) methods. We also assessed the hypothetical improvement in antibiotic utilization if AXDX had been implemented.MethodsClinical samples from patients with monomicrobial Gram-negative bacteraemia were tested and compared between AXDX and the SOC methods of the VERIGENE® and Bruker MALDI Biotyper® systems for ID and the VITEK® 2 system for AST. Additionally, charts were reviewed to calculate theoretical times to antibiotic de-escalation, escalation and active and optimal therapyResultsID mean time was 21 h for MALDI-TOF MS, 4.4 h for VERIGENE® and 3.7 h for AXDX. AST mean time was 35 h for VITEK® 2 and 9.0 h for AXDX. For ID, positive percentage agreement was 95.9% and negative percentage agreement was 99.9%. For AST, essential agreement was 94.5% and categorical agreement was 93.5%. If AXDX results had been available to inform patient care, 25% of patients could have been put on active therapy sooner, while 78% of patients who had therapy optimized during hospitalization could have had therapy optimized sooner. Additionally, AXDX could have reduced time to de-escalation (16 versus 31 h) and escalation (19 versus 31 h) compared with SOC. ConclusionsBy providing fast and reliable ID and AST results, AXDX has the potential to improve antimicrobial utilization and enhance antimicrobial stewardship.
Background Demographic and clinical risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children presenting with respiratory viral symptoms are not well defined. An understanding of risk factors for SARS-CoV-2 infection can help prioritize testing. Methodology We evaluated potential demographic and clinical factors in children who had respiratory viral symptoms and were tested by polymerase chain reaction (PCR) for SARS-CoV-2 and other respiratory viral infections. Results Among the 263 symptomatic children tested for routine seasonal respiratory viruses by PCR, 18 (6.8%) tested positive for SARS-CoV-2. Overall, 22.2% of SARS-CoV-2-infected children and 37.1% of SARS-CoV-2-uninfected children had infection with one or more non-SARS-CoV-2 pathogens (p = 0.31). Higher proportions of children with compared to without SARS-CoV-2 infection were male (77.8 vs. 51.8%, p = 0.05), Hispanic (44.4% vs. 9.8%, p < 0.001), or had the symptoms of fatigue (22.2% vs. 2.5%, p = 0.003) or anosmia/ageusia (11.1% vs. 0%, p = 0.004). History of hypoxic-ischemic encephalopathy (HIE) and obesity were more common in children with versus without SARS-CoV-2 infection (11.1% vs. 1.2%, p = 0.04, and 11.1% vs. 0%, p = 0.004, respectively). In a multivariate analysis, Hispanic ethnicity, symptoms of fatigue or anosmia/ageusia, and presence of obesity (as noted on physical examination) or HIE were independently associated with SARS-CoV-2 infection. Numbers in each category were small, and these preliminary associations require confirmation in future studies. Conclusions In this area of the United States, infection with other viruses did not rule out infection with SARS-CoV-2. Additionally, children with respiratory viral symptoms who were of Hispanic ethnicity, had symptoms of weakness/fatigue, or had obesity or HIE were at an increased risk for SARS-CoV-2 infection. Future studies should assess if these factors are associated with risk in populations in other areas of the United States.
Background The SARS-CoV-2 pandemic has caused over 400,000 deaths worldwide thus far, and poses therapeutic challenges for millions of patients. There is currently no treatment for SARS-CoV-2 infection approved by the United States Food and Drug Administration. Multiple agents have been used off-label to treat SARS-CoV-2 infection based on small observational cohorts and in vitro data. Here we present the experience of a large academic medical center in treating SARS-CoV-2 infection. Methods We performed a retrospective cohort study of patients admitted for greater than 24 hours with a nasopharyngeal, oropharyngeal, and/or bronchoalveolar lavage sample positive for SARS-CoV-2 by polymerase chain reaction (PCR). Demographic data, comorbidities, clinical data, and treatment data were collected from the electronic medical record. Off-label therapies were used at the discretion of the treating providers guided by regularly updated treatment guidelines assembled by infectious diseases physicians and antimicrobial stewardship pharmacists. The primary outcome assessed was in-hospital mortality. Secondary outcomes included admission to the intensive care unit (ICU), endotracheal intubation, initiation of vasopressors, and drug-related adverse events. Results Data collection was completed for 448 patients admitted between March 18, 2020 and May 8, 2020. All-cause in-hospital mortality was 13.4% (60/448) during this time. Mortality rates increased with age, up to 45% for patients over 80 years old. Male sex, hypertension, chronic pulmonary disease, end-stage renal disease, chronic liver disease were also risk factors for increased mortality. QTc interval prolongation occurred significantly more frequently in patients who received hydroxychloroquine (HCQ) with or without azithromycin(AZM) than those who did not (HCQ 6%, HCQ+AZM 7.8% vs all other patients, 0%, p< .0001). Review of treatment trends showed close adherence to the treatment recommendations at that time (Figure 1). Patient Characteristics Admission Laboratory Data by Disease Severity QTc Prolongation Conclusion SARS-CoV-2 infection is associated with significant inpatient mortality, and use of off-label treatments was associated with significant drug-related adverse events. Treatment regimens changed rapidly, and providers adhered closely to institutional guidelines as they evolved. Treatment Trends by Week QTC pre/post Treatment by Hydroxychloroquine Use vs. No Hydroxychloroquine Use Disclosures Samir Gupta, MD, Gilead Sciences (Consultant, Scientific Research Study Investigator, Advisor or Review Panel member)ViiV (Consultant, Grant/Research Support, Scientific Research Study Investigator, Advisor or Review Panel member, Research Grant or Support)
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