A program of NIH’s National Center for Advancing Translational Sciences | |
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Sites with Signed
DUAs
392
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Sites Sharing Data with N3C
234
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COVID-19
Positive
Patients
8,819,462
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Rows
of Patient
Data
32.8 billion
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Approved
N3C Research
Projects
555
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N3C Partners with AIM-AHEAD on a NCATS Real-World Data Training Program
The AIM-AHEAD Consortium, which strives to enhance the participation and representation of researchers and communities currently underrepresented in the development of AI/ML models, has recently partnered with NCATS to develop and offer a real-world data training program using N3C resources.
The program, now underway, offers trainees hands-on experience in real-world data analysis with N3C infrastructure, good algorithmic practice, and clinical data management. The Guide to N3C features as part of the instructional materials, and members of the N3C Logic Liaisons, Education and Training Domain Team, and Good Algorithmic Practice teams (Johanna Loomba, Shawn O'Neil, and David Sahner) have contributed to design and instruction. This effort is also piloting new education-focused resources in N3C that will become more broadly available as part of the N3C Clinical initiative. Visit the AIM-AHEAD and NCATS Training Program page for more details about the program and AIM-AHEAD.
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Meets every other Friday
The next meeting will be on Friday, May 10th at 7am PT / 10am ET.
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Missed an N3Community Forum or want to revisit a past Forum? You can find all the videos on our YouTube page.
Share your thoughts: Looking for ways to bring relevant and exciting presentations to the Forum. Let us know if there are topics, presentations, or speakers you would like to see: bit.ly/N3CForumFeedback
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To help our community with a positive and productive workload, N3C schedules several “No Meeting Weeks” throughout the year.
Upcoming Dates
May 27-31
July 1-5
August 1-16
November 11-15
N3C support will continue with regular operations during these dates. Most meetings will be canceled. Impromptu meetings can still occur to push through action items as needed during no meeting week. Workgroups and Domain Teams should check with their Leads to determine meeting schedules for that week.
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Her lifelong goal of becoming a doctor changed after a trip to Peru
Life changed for María Patrizia Santos during a visit to Peru in 2017. It was not from a mystical experience at Machu Picchu in the Andes or one of the South American country's many other ancient sites, but from interviewing more than 150 caregivers about childhood anemia in the southern city of Arequipa.
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Check out recent N3C Publications!
Remember, if you have a potential publication that references N3C, you must submit it to the N3C Publication Committee for review. Learn more about the publication review process here: https://covid.cd2h.org/publication-review
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Please report any questions, gaps, or errors to n3c.pubs@gmail.com | |
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People with type 2 diabetes are at heightened risk for severe outcomes related to COVID-19 infection, including hospitalization, intensive care unit admission, and mortality. This study was designed to examine the impact of premorbid use of glucagon-like peptide-1 receptor agonist (GLP-1RA) monotherapy, sodium-glucose cotransporter-2 inhibitor (SGLT-2i) monotherapy, and concomitant GLP1-RA/SGLT-2i therapy on the severity of outcomes in individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.
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Research driven by real-world clinical data is increasingly vital to enabling learning health systems, but integrating such data from across disparate health systems is challenging. As part of the NCATS National COVID Cohort Collaborative (N3C), the N3C Data Enclave was established as a centralized repository of deidentified and harmonized COVID-19 patient data from institutions across the US. However, making this data most useful for research requires linking it with information such as mortality data, images, and viral variants. The objective of this project was to establish privacy-preserving record linkage (PPRL) methods to ensure that patient-level EHR data remains secure and private when governance-approved linkages with other datasets occur.
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COVID-19 vaccines have been shown to be effective in preventing severe illness, including among pregnant persons. The vaccines appear to be safe in pregnancy, supporting a continuously favorable overall risk/benefit profile, though supportive data for the U.S. over different periods of variant predominance are lacking.
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We investigate risk factors for severe COVID-19 in persons living with HIV (PWH), including among racialized PWH, using the U.S. population-sampled National COVID Cohort Collaborative (N3C) data released from January 1, 2020 to October 10, 2022. We defined severe COVID-19 as hospitalized with invasive mechanical ventilation, extracorporeal membrane oxygenation, discharge to hospice or death.
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Save the Date!
2024 AMIA Annual Symposium
November 9 -13
San Francisco, CA
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Registration opens in June. | |
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Planning to Publish or Present Research Results? Here's how to find the policies.
Take 1 Minute!
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Navigate to covid.cd2h.org
- Hover over "Resources"
- Click on "Policies, Agreements, Forms"
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Gain Access to N3C Google Drive | |
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Have something you'd like featured in the N3Connect Bulletin?
Submit it to n3c.info@govcollab.io for consideration.
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The National COVID Cohort Collaborative (N3C) is a complementary and synergistic partnership among the Clinical and Translational Science Awards (CTSA) Program hubs, the National Center for Data to Health (CD2H), distributed clinical data networks (PCORnet, OHDSI, ACT, TriNetX), and other partner organizations, with overall stewardship by NIH’s National Center for Advancing Translational Sciences (NCATS). The N3C aims to improve the efficiency and accessibility of analyses using a very large row-level (patient-level) COVID-19 clinical dataset, demonstrate a novel approach for collaborative pandemic data sharing, and speed understanding of and treatments for COVID-19. | |
CD2H is supported by the National Center for Advancing Translational Sciences, National Institutes of Health, under Contract No. 75N95023D00001 from the Department of Health and Human Services. | | | | | |
