A program of NIH’s National Center for Advancing Translational Sciences | |
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Sites with Signed
DUAs
361
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Sites Sharing Data with Enclave
234
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COVID-19
Positive
Patients
7,532,216
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Rows
of Patient
Data
23.6 billion
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Approved
N3C Research
Projects
490
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To help our community with a positive and productive workload, CD2H-N3C will schedule several “No Meeting Weeks” throughout the year. 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.
2nd Quarter - May 29 - June 2
3rd Quarter - September 4-8
4th Quarter - November 13-17
N3C support will continue with regular operations. If you have any trouble logging on to the enclave, please contact NCATSAuthSupport@mail.nih.gov. For all other issues please use the Support Desk.
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Medicaid Patient Data Now Available in the OMOP format
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N3C now has an additional data resource: Medicaid claims records. These records complement the already-available Medicare claims records, and both have been translated to OMOP and linked to EHR data via Privacy Preserving Record Linkage (PPRL) for convenient N3C researcher use.
Earlier this month, N3C hosted a webinar to highlight these new features, describe important differences between Medicaid data and EHR-based data, review the mapping process to OMOP, and cover data availability and access. Data completeness and redundancy were also discussed as these records are sourced from a diversity of healthcare providers that partially overlap with EHR-providing data partners.
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Missed the training session earlier this month?
You can watch the recording here.
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Medicare Patient Data Now Available in non-OMOP format
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CMS (Centers for Medicare & Medicaid Services) Medicare Claims data linked to EHR data has been available and regularly updated in the N3C Enclave under the OMOP format since November 2022. In addition to having it represented in the OMOP data model, some researchers, familiar with CMS data, have requested to make it available in the non-OMOP, “raw” data format that aligns with what is typically provided by the Research Data Assistance Center (ResDAC).
We are happy to announce that as of Friday, May 19th, CMS Medicare data in its original Claims format (i.e. not converted to OMOP) linked to N3C EHR data via privacy preserving record linkage (PPRL) is now available in the Data Catalog. To access these Datasets from your Workspace, you can file a Data Use Request and request the ‘CMS’ PPRL External Dataset option.
Non-OMOP CMS Medicare training will be held on June 16th during the Enclave Users Group call at 10 am PT/1 pm ET.
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What the Research Community is Saying about N3C | |
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Md Mahmudur Rahman
Ph.D. Candidate
Department of Computer Science
University of Massachusetts Lowell
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"As a researcher in the field of Machine Learning with Electronic Health Record (EHR) data, our team has greatly benefitted from the N3C dataset for the clinical data of COVID-19 patients. We found the system an incredibly helpful resource to our research, as it provided an easy-to-use but comprehensive data platform. The system is user-friendly and enables us to find data on different antidepressant drugs along with patient demographics and COVID-19 outcomes.
Overall, we found the N3C database system to be a very useful resource for COVID-19 research. The system has helped us explore a deeper understanding of antidepressant drug effects on COVID-19 patients. We believe that it would be a critical tool to fight against new variants of COVID-19 viruses and any possible future pandemic."
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Rural Health Domain Team receives 2023 Journal of Rural Health Article of the Year | |
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The Rural Health Domain Team recently received the 2023 Journal of Rural Health Article of the Year during the National Rural Health Association's (NRHA) 46th Annual Rural Health Conference in May.
The Journal of Rural Health Article of the Year is "Higher hospitalizations and mortality rates among SARS-CoV-2-infected persons in rural America." View the full article at doi:10.1111/jrh.12689.
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The Rural Health Domain Team seeks to understand the epidemiology, utilization, treatment, and outcomes of the COVID-19 pandemic in rural communities.
The overarching goal is to develop better evidence for potential differences in the COVID-19 epidemic response and outcomes for rural healthcare centers and rural dwellers. This group of more than 50 diverse investigators meets monthly and has produced works looking at differences in hospitalization and mortality among rural dwellers, community risks for breakthrough infections, and differences in rural-urban therapeutic effectiveness.
Other recent works include:
📝 Anzalone AJ, Sun J, Vinson AJ, et al. Community risks for SARS-CoV-2 infection among fully vaccinated US adults by rurality: A retrospective cohort study from the National COVID Cohort Collaborative. PLoS One. 2023;18(1):e0279968. Published 2023 Jan 5. doi:10.1371/journal.pone.0279968
📝 Moradi H, Bunnell HT, Price BS, et al. Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach. PLoS One. 2023;18(3):e0282587. Published 2023 Mar 9. doi:10.1371/journal.pone.0282587
To learn more about the Rural Health Domain Team or to join, please visit https://covid.cd2h.org/rural-health
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Meetings are held on the first Monday of the month at 4 PM ET / 3 PM CT
Next Meeting: Monday, June 5
Please email n3c-dt-rural-health@googlegroups.com to be added to the calendar invite.
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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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Check out Recent N3C Publications!
Published works can be browsed at https://bit.ly/n3c-google-scholar; please report any questions, gaps, or errors to n3c.pubs@gmail.com
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Have a potential publication that references N3C?
Be sure to submit all potential publications — whether full-length manuscripts, conference abstracts, posters, or presentations — (whether or not they include patient data) to the N3C Publication Committee for review via the Enclave Publication Intent form, available from the Enclave Homepage.
Read more about the Publication Review Process here: https://covid.cd2h.org/publication-review.
Our Enclave training module on Publication Intent Submission is available here: https://unite.nih.gov/workspace/module/view/latest/ri.workshop.main.module.e7b83a8c-545e-49ac-8714-f34bfa7f7767?view=focus&Id=29
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Upcoming N3Community Forums
The N3Community Forum focuses on Real World Data research, results, and conversations. Presentations take place every 2nd and 4th Monday from 5–6 p.m. ET/2–3 p.m. PT. To attend these and future N3Community Forum presentations, please register here.
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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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COVID-19-Associated Chemosensory Loss Continues to Decline
Chemosensory losses have long been considered a cardinal symptom of COVID-19 infection. Recent studies have shown changing symptom profiles with COVID-19, including decreasing incidence of olfactory losses. We accessed the National COVID Cohort Collaborative database to identify patients with and without smell and taste loss within 2 weeks of COVID-19 diagnosis.
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Sleep apnea may increase risk for long COVID
People with obstructive sleep apnea, particularly those with other chronic conditions, had a significantly increased risk for developing long COVID after a SARS-CoV-2 infection compared with those without obstructive sleep apnea, data show.
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Listen: Cloud is Essential to Scaling and Harmonizing Data at NIH
Dr. Kenneth Gersing, director of informatics in the Division of Clinical Innovation at NCATS, talks about how emerging technologies are helping researchers define long COVID in a more standardized way and how N3C is being used in treating non-COVID related diseases as well as preparing agencies to better handle future health emergencies.
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Geisinger places second in national Long COVID Computational Challenge
The nationwide challenge included submissions from universities, medical centers and public-private partnerships. Entrants developed artificial intelligence/machine learning (AI/ML) models and algorithms to identify which patients infected with COVID-19 had a higher likelihood of developing long COVID. Entries used de-identified electronic health records (EHR) data available through the National COVID Cohort Collaborative Data Enclave, a data repository that represents EHR data from more than 70 health centers across the United States.
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Sleep Apnea Associated with Increased Risk for Long COVID
Sleep apnea may significantly increase the risk for long COVID in adults, according to a study led by the National Institutes of Health’s RECOVER Initiative and supported by NYU Langone Health as home to the effort’s Clinical Science Core (CSC).
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Obstructive Sleep Apnea Increase Risk of Long COVID in Adults
According to a new study led by the National Institutes of Health (NIH) RECOVER Initiative, obstructive sleep apnea may significantly increase the risk of long COVID in adults. The study analyzed data from 3 RECOVER research networks of patients who had tested positive for COVID-19 between March 2020 and February 2022.
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People with sleep apnea at greater risk for long COVID, study shows
A new government-sponsored study examining sleep apnea suggests that those with the disorder may be at higher risk of what is called long COVID. The findings, part of the National Institutes of Health's Researching COVID to Enhance Recovery, were published Thursday in the scientific journal Sleep.
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Large-Scale Analysis Finds Associations Between Obstructive Sleep Apnea and Long COVID
Recently published data from electronic health records of more than 2.2 million Americans with COVID-19 showed that adults with obstructive sleep apnea (OSA) were more likely to experience long-term symptoms suggestive of long COVID than those without the sleep disorder. No significant links were identified in children after controlling for other medical conditions, including obesity.
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Google Drive access for N3C Researchers
If you are an N3C researcher who needs to access documents in the NCATS-owned Google Drive*, please onboard and/or update your preferred Google account here.
*Note that NCATS has a business agreement with Google and documents in this drive are not mined by Google
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If you are no longer participating in N3C, here's how you can close your account.
As we approach the 3-year mark for the COVID-19 pandemic, it is a good inflection point to identify colleagues who have completed their efforts with CD2H/N3C projects and have transitioned to other great opportunities. If this is you, or perhaps your colleague, we would like to ask that you complete this 2-minute form (Bit.ly/cd2h-offboarding-form) to offboard CD2H and or N3C projects. You can continue to just get the newsletter if you wish.
We thank you for your tireless efforts in CD2H/N3C projects and look forward to working with you on many other projects.
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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 (NCATS)
at the National Institutes of Health
(Grant U24TR002306).
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