Collaboration between Clinical and Academic Laboratories for Sequencing SARS-CoV-2 Genomes.

Genomic sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to provide valuable insight into the ever-changing variant makeup of the COVID-19 pandemic. More than three million SARS-CoV-2 genome sequences have been deposited in Global Initiative on Sharing All Influenza Data (GISAID), but contributions from the United States, particularly through 2020, lagged the global effort. The primary goal of clinical microbiology laboratories is seldom rooted in epidemiologic or public health testing, and many laboratories do not contain in-house sequencing technology. However, we recognized the need for clinical microbiologists to lend expertise, share specimen resources, and partner with academic laboratories and sequencing cores to assist in SARS-CoV-2 epidemiologic sequencing efforts. Here, we describe two clinical and academic laboratory collaborations for SARS-CoV-2 genomic sequencing. We highlight roles of the clinical microbiologists and the academic laboratories, outline best practices, describe two divergent strategies in accomplishing a similar goal, and discuss the challenges with implementing and maintaining such programs.

Genomic Investigation of a Putative Endoscope-Associated Carbapenem-Resistant Enterobacter cloacae Outbreak Reveals a Wide Diversity of Circulating Strains and Resistance Mutations.

A genomic epidemiologic investigation of a putative carbapenem-resistant Enterobacter cloacae outbreak revealed few plausible instances of nosocomial transmission, highlighting instead the frequent importation of E. cloacae into our hospital. Searching for genetic determinants of carbapenem resistance demonstrated that most resistance is due to convergent mutations in phylogenetically diverse E. cloacae.

Threshold-free genomic cluster detection to track transmission pathways in health-care settings: a genomic epidemiology analysis.

BACKGROUND: A crucial barrier to the routine application of whole-genome sequencing (WGS) for infection prevention is the insufficient criteria for determining whether a genomic linkage is consistent with transmission within the facility. We evaluated the use of single-nucleotide variant (SNV) thresholds, as well as a novel threshold-free approach, for inferring transmission linkages in a high-transmission setting. METHODS: We did a retrospective genomic epidemiology analysis of samples previously collected in the context of an intervention study at a long-term acute care hospital in the USA. We performed WGS on 435 isolates of Klebsiella pneumoniae harbouring the blaKPC carbapenemase (KPC-Kp) collected from 256 patients through admission and surveillance culturing (once every 2 weeks) of almost every patient who was admitted to hospital over a 1-year period. FINDINGS: Our analysis showed that the standard approach of using an SNV threshold to define transmission would lead to false-positive and false-negative inferences. False-positive inferences were driven by the frequent importation of closely related strains, which were presumably linked via transmission at connected health-care facilities. False-negative inferences stemmed from the diversity of colonising populations that were spread among patients, with multiple examples of hypermutator strain emergence within patients and, as a result, putative transmission links separated by large genetic distances. Motivated by limitations of an SNV threshold, we implemented a novel threshold-free transmission cluster inference approach, in which each of the acquired KPC-Kp isolates were linked back to the imported KPC-Kp isolate with which it shared the most variants. This approach yielded clusters that varied in levels of genetic diversity but where 105 (81%) of 129 unique strain acquisition events were associated with epidemiological links in the hospital. Of 100 patients who acquired KPC-Kp isolates that were included in a cluster, 47 could be linked to a single patient who was positive for KPC-Kp at admission, compared with 31 and 25 using 10 SNV and 20 SNV thresholds, respectively. Holistic examination of clusters highlighted extensive variation in the magnitude of onward transmission stemming from more than 100 importation events and revealed patterns in cluster propagation that could inform improvements to infection prevention strategies. INTERPRETATION: Our results show how the integration of culture surveillance data into genomic analyses can overcome limitations of cluster detection based on SNV-thresholds and improve the ability to track pathways of pathogen transmission in health-care settings. FUNDING: US Center for Disease Control and Prevention and University of Michigan.

Longitudinal SARS-CoV-2 Testing among the Unvaccinated Is Punctuated by Intermittent Positivity and Variable Rates of Increasing Cycle Threshold Values.

The coronavirus disease 2019 (COVID-19) pandemic is complicated by cases of vaccine breakthrough and reinfection and widespread transmission of variants of concern (VOCs). Consequently, the need to interpret longitudinal positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests is crucial in guiding clinical decisions regarding infection control precautions and treatment. Although diagnostic real-time reverse transcription (RT)-PCR tests yield CT values that are inversely correlated with RNA quantity, these tests are only approved for qualitative interpretation. In this study, we performed a retrospective review of 72,217 SARS-CoV-2 positive tests and identified 264 patients with longitudinal positivity prior to vaccination and VOC circulation. Patients with longitudinal positivity fell into two categories: short-term (207, 78%) or prolonged (57, 22%) positivity, defined as ≤28 (range, 1 to 28; median, 16) days and >28 (range, 29 to 152; median, 41) days, respectively. In general, CT values increased over time in both groups; however, 11 short-term-positive patients had greater amounts of RNA detected at their terminal test than at the first positive test, and 6 patients had RNA detected at CT values of <35 at least 40 days after initial infection. Oscillating positive and negative results occurred in both groups, although oscillation was seen three times more frequently in prolonged-positive patients. Patients with prolonged positivity had diverse clinical characteristics but were often critically ill and were discharged to high-level care or deceased (22%). Overall, this study demonstrates that caution must be emphasized when interpreting CT values as a proxy for infectivity, a predictor of severity, or a guide for patient care decisions in the absence of additional clinical context, particularly among the unvaccinated population. IMPORTANCE We describe the duration of positivity and the COVID-19 treatment and outcome characteristics of an unvaccinated population of patients with prolonged SARS-CoV-2 positivity. This investigation serves to highlight challenges in using CT values to guide clinical decisions among unvaccinated individuals.

Reduction and persistence of co-circulating respiratory viruses during the SARS-CoV-2 pandemic.

To evaluate the co-circulation of respiratory viruses during the SARS-CoV-2 Alpha surge, we performed a molecular respiratory panel on 1,783 nasopharyngeal swabs collected between January 15 and April 15, 2021, from symptomatic outpatients that tested negative for SARS-CoV-2 in North Carolina. Of these, 373 (20.9%) were positive for at least 1 virus tested on the panel. Among positive tests, over 90% were positive for rhinovirus and/or enterovirus, either as a single infection or coinfection, illustrating persistent co-circulation of some respiratory viruses despite active infection control measures.

Cohorting KPC+ Klebsiella pneumoniae (KPC-Kp)-positive patients: A genomic exposé of cross-colonization hazards in a long-term acute-care hospital (LTACH).

OBJECTIVE: Cohorting patients who are colonized or infected with multidrug-resistant organisms (MDROs) protects uncolonized patients from acquiring MDROs in healthcare settings. The potential for cross transmission within the cohort and the possibility of colonized patients acquiring secondary isolates with additional antibiotic resistance traits is often neglected. We searched for evidence of cross transmission of KPC+ Klebsiella pneumoniae (KPC-Kp) colonization among cohorted patients in a long-term acute-care hospital (LTACH), and we evaluated the impact of secondary acquisitions on resistance potential. DESIGN: Genomic epidemiological investigation. SETTING: A high-prevalence LTACH during a bundled intervention that included cohorting KPC-Kp-positive patients. METHODS: Whole-genome sequencing (WGS) and location data were analyzed to identify potential cases of cross transmission between cohorted patients. RESULTS: Secondary KPC-Kp isolates from 19 of 28 admission-positive patients were more closely related to another patient's isolate than to their own admission isolate. Of these 19 cases, 14 showed strong genomic evidence for cross transmission (<10 single nucleotide variants or SNVs), and most of these patients occupied shared cohort floors (12 patients) or rooms (4 patients) at the same time. Of the 14 patients with strong genomic evidence of acquisition, 12 acquired antibiotic resistance genes not found in their primary isolates. CONCLUSIONS: Acquisition of secondary KPC-Kp isolates carrying distinct antibiotic resistance genes was detected in nearly half of cohorted patients. These results highlight the importance of healthcare provider adherence to infection prevention protocols within cohort locations, and they indicate the need for future studies to assess whether multiple-strain acquisition increases risk of adverse patient outcomes.

Genomic epidemiology of multidrug-resistant Gram-negative organisms.

The emergence and spread of antibiotic-resistant Gram-negative bacteria (rGNB) across global healthcare networks presents a significant threat to public health. As the number of effective antibiotics available to treat these resistant organisms dwindles, it is essential that we devise more effective strategies for controlling their proliferation. Recently, whole-genome sequencing has emerged as a disruptive technology that has transformed our understanding of the evolution and epidemiology of diverse rGNB species, and it has the potential to guide strategies for controlling the evolution and spread of resistance. Here, we review specific areas in which genomics has already made a significant impact, including outbreak investigations, regional epidemiology, clinical diagnostics, resistance evolution, and the study of epidemic lineages. While highlighting early successes, we also point to the next steps needed to translate this technology into strategies to improve public health and clinical medicine.