Background To estimate the infectious period of SARS-CoV-2 in older adults with underlying conditions, we assessed duration of COVID-19 symptoms, reverse-transcription polymerase chain reaction (RT-PCR) positivity, and culture positivity among nursing home residents. Methods We enrolled residents within 15 days of their first positive SARS-CoV-2 test (diagnosis) at an Arkansas facility from July 7–15, 2020 and followed them for 42 days. Every 3 days for 21 days and then weekly, we assessed COVID-19 symptoms, collected specimens (oropharyngeal, anterior nares, and saliva), and reviewed medical charts. Blood for serology was collected on days 0, 6, 12, 21, and 42. Infectivity was defined by positive culture. Duration of culture positivity was compared to duration of COVID-19 symptoms and RT-PCR positivity. Data were summarized using measures of central tendency, frequencies and proportions. Results We enrolled 17/39 (44%) eligible residents. Median participant age was 82 years (range: 58–97 years). All had ≥3 underlying conditions. Median duration of RT-PCR positivity was 22 days (interquartile range [IQR]: 8–31 days) from diagnosis; median duration of symptoms was 42 days (IQR: 28–49 days). Of nine (53%) participants with any culture-positive specimens, 1 (11%) severely immunocompromised participant remained culture-positive 19 days from diagnosis; 8/9 (89%) were culture-positive ≤8 days from diagnosis. Seroconversion occurred in 12/12 (100%) surviving participants with ≥1 blood specimen; all participants were culture-negative before seroconversion. Conclusion Duration of infectivity was considerably shorter than duration of symptoms and RT-PCR positivity. Severe immunocompromise may prolong SARS-CoV-2 infectivity. Seroconversion indicated non-infectivity in this cohort.
Background Antimicrobial susceptibility testing (AST) is not routinely performed for Clostridioides difficile and data evaluating minimum inhibitory concentrations (MICs) are limited. We performed AST and whole genome sequencing (WGS) for 593 C. difficile isolates collected between 2012-2017 through the Centers for Disease Control and Prevention’s Emerging Infections Program. Methods MICs to six antimicrobial agents (ceftriaxone, clindamycin, meropenem, metronidazole, moxifloxacin, and vancomycin) were determined using the reference agar dilution method according to Clinical and Laboratory Standards Institute guidelines. WGS was performed on all isolates to detect the presence of genes or mutations previously associated with resistance. Results Among all isolates, 98.5% displayed a vancomycin MIC ≤ 2 μg/mL and 97.3% displayed a metronidazole MIC ≤ 2 μg/mL. Ribotype 027 (RT027) isolates displayed higher vancomycin MICs (MIC50: 2 μg/mL; MIC90: 2 μg/mL) than non-RT027 isolates (MIC50: 0.5 μg/mL; MIC90: 1 μg/mL) (P < 0.01). No vanA/B genes were detected. RT027 isolates also showed higher MICs to clindamycin and moxifloxacin and were more likely to harbor associated resistance genes or mutations. Conclusions Elevated MICs to antibiotics used for treatment of C. difficile infection were rare and there was no increase in MICs over time. The lack of vanA/B genes or mutations consistently associated with elevated vancomycin MICs suggests there are multifactorial mechanisms of resistance. Ongoing surveillance of C. difficile using reference AST and WGS to monitor MIC trends and the presence of antibiotic resistance mechanisms is essential.
The CDC’s Emerging Infections Program (EIP) conducted population- and laboratory-based surveillance of US carbapenem-resistant Pseudomonas aeruginosa (CRPA) from 2016 through 2018. To characterize the pathotype, 1,019 isolates collected through this project underwent antimicrobial susceptibility testing and whole-genome sequencing.
The rapid evolution of influenza A(H3N2) viruses necessitates close monitoring of their antigenic properties so the emergence and spread of antigenic drift variants can be rapidly identified. Changes in hemagglutinin (HA) acquired by contemporary A(H3N2) viruses hinder antigenic characterization by traditional methods, thus complicating vaccine strain selection. Sequence-based approaches have been used to infer virus antigenicity; however, they are time consuming and midthroughput. To facilitate virological surveillance and epidemiological studies, we developed and validated a pyrosequencing approach that enables identification of six HA clades of contemporary A(H3N2) viruses. The identification scheme of viruses of the H3 clades 3C.2, 3C.2a, 3C.2b, 3C.3, 3C.3a, and 3C.3b is based on the interrogation of five single nucleotide polymorphisms (SNPs) within three neighboring HA regions, namely 412 to 431, 465 to 481, and 559 to 571. Two bioinformatics tools, IdentiFire (Qiagen) and FireComb (developed in-house), were utilized to expedite pyrosequencing data analysis. The assay's analytical sensitivity was 10 focus forming units, and respiratory specimens with threshold cycle (C T ) values of Ͻ34 typically produced good quality pyrograms. When applied to 120 A(H3N2) virus isolates and 27 respiratory specimens, the assay displayed 100% agreement with clades determined by HA sequencing coupled with phylogenetics. The multi-SNP analysis described here was readily adopted by another laboratory with pyrosequencing capabilities. The implementation of this approach enhanced the findings from virological surveillance and epidemiological studies between 2013 and 2016, which examined more than 3,000 A(H3N2) viruses.KEYWORDS A(H3N2), genotyping, influenza, pyrosequencing S ince their introduction into the human population in 1968, influenza A(H3N2) viruses have been responsible for seasonal epidemics and associated with both a prolonged duration of the epidemic season and a greater disease severity (1-4). The hemagglutinin (HA) glycoprotein is the major surface antigen of influenza viruses; it is also responsible for the receptor binding and membrane fusion required for entrance into susceptible host cells (5). Decades ago, this glycoprotein was named "hemagglutinin" for its ability to bind and bridge erythrocytes. The other surface antigen, neuraminidase (NA), is a receptor-destroying enzyme (6). As with other seasonal influenza viruses, A(H3N2) viruses undergo genetic and antigenic changes, called antigenic drift,
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