Volume 69 | February 29, 2024

A program of NIH’s National Center for Advancing Translational Sciences

Sites with Signed

DUAs

380

Sites Sharing Data with N3C

234

COVID-19

Positive

Patients

8,744,756

Rows

of Patient

Data

31.8 billion

Approved

N3C Research

Projects

532

NCATS Director's Message

February 7, 2024: Unlocking the Power of Data for Faster Health Solutions

N3C has been a key resource in COVID-19 research, working almost like a sixth sense to help researchers and others gain new information. In addition to its large collection of clinical data, N3C currently links to 71 other data sets to create a more complete picture of COVID-19 health outcomes. Multidisciplinary research teams continue to work within the N3C Data Enclave to explore important COVID-19 health questions.

Click here to read the full announcement

Upcoming Panel Discussion at the N3Community Forum

March 11 @ 2 pm PT / 5 pm ET

Training the Biomedical Community on Using Real World Data (RWD): Examples from the National COVID Cohort Collaborative and the All of Us Research Program

Moderated by:

Aubri Hoffman, Axle Informatics

Panelists:

Shawn O'Neil, University of Colorado Anschutz

Johanna Loomba, University of Virginia

Kayla Marginean, Vanderbilt University

Michael Lyons, Vanderbilt University

Brandy Mapes, Vanderbilt University

N3C Workshop @ AMIA 2024

Real-World Analytics with Harmonized Multi-Site EHR Data: An Instructional Workshop

Monday, March 18

8:30 AM - 12:00 PM EDT

This half-day instructional workshop will introduce attendees, including those with no programming experience, to analysis of multi-site, harmonized medical records and Electronic Health Record (EHR) data.Participants will have access to a cloud-hosted environment and will practice manipulating, analyzing, and visualizing EHR data. We’ll explore graphical and code-based analytic tools and learn about OMOP, a common data model, that is growing rapidly in adoption for real-world data research. With the growing accessibility of real-world data for research purposes, we will discuss the challenges and prospects it presents in comparison to data specifically produced for research (i.e., curated data such as from clinical trials), particularly in the context of multi-site datasets. This includes both novel challenges (e.g. heterogenous missingness) and opportunities (e.g. large-scale machine learning).

Click Here to Register

N3C Workshop after ACTS 2024

Strategies for Successful Real World Data Research and Workforce Development

Friday, April 5

12 PM - 3 PM PDT

Continue your learning after Translational Science 2024 and join us for “Strategies for Successful Real World Data Research and Workforce Development.” Tailored for Decision Makers, PIs, Clinical Informaticists, Program Directors, and Instructors, this workshop dives into the intricacies of incorporating real-world data (RWD) into clinical trials and research studies, including discussing team science and the diverse roles and expertise needed for successful RWD research. Interactive breakouts will help you gain insights into data quality issues, understand the nuances, and discover the future of RWD training and infrastructure to support research. Don’t miss this opportunity to shape the future of clinical research and empower the next generation of professionals in this field!

Click Here to Register

*Registration closes on March 22 at 9 am PT / 12 pm ET

What the Research Community is Saying about N3C

Anai N. Kothari, MD MS FSSO FACS

Assistant Professor of Surgical Oncology; Director, Selig Hub for Surgical Data Science; Department of Surgery

Director; Integrated Cancer Data Resource

MCW Cancer Center

Nathaniel Verhagen

MS3

Medical College of Wisconsin Research Fellow; AN.AI Lab

Department of Surgery

"Our research leveraging the National COVID Cohort Collaborative (N3C) Data Enclave has provided key insights into COVID-19 and surgical outcomes that have informed international surgical policy. The harmonized data structure and platform that supports N3C has allowed us to quickly answer time-sensitive, surgically important questions with a true team science approach. N3C also facilitates education and training for working with real world data. Since all data management and analytics happens in a single (and transparent) workspace, it allows for sharing, rapid feedback, and teaching between trainees and mentors."

Upcoming N3Community Forums

*UPDATE*

Effective February 1, the N3Community Forum will move to once a month. Forums will take place on the 2nd Monday of each month at 2 pm PT / 5 pm ET.

Panel: Training the Biomedical Community on Using Real World Data (RWD): Examples from the National COVID Cohort Collaborative and the All of Us Research Program

Aubri Hoffman, Axle Informatics

Shawn O'Neil, University of Colorado Anschutz

Johanna Loomba, University of Virginia

Kayla Marginean, Vanderbilt University

Michael Lyons, Vanderbilt University

Brandy Mapes, Vanderbilt University

SEER Cancer Registry Data

Lynne Penberthy, Virginia Commonwealth University

An Initial Look at COVID-19 Among Disability Populations

Lesley Cottrell, PhD, West Virginia University

Algorithmic Best Practices

David Sahner, Axle Informatics

Shawn ONeil, University of Colorado Anschutz Medical Campus

Nathan Hotaling, Axle Informatics

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

N3Community Forum Schedule

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.

N3C In the News

Identifying the capabilities for creating next-generation registries: a guide for data leaders and a case for “registry science”

The increasing demands for curated, high-quality research data are driving the emergence of a novel registry type.

Real-World Effectiveness of Sotrovimab for the Early Treatment of COVID-19: Evidence from the US National COVID Cohort Collaborative (N3C)

The coronavirus disease 2019 (COVID-19) pandemic has been an unprecedented healthcare crisis, one that threatened to overwhelm health systems and prompted an urgent need for early treatment options for patients with mild-to-moderate COVID-19 at high risk for progression to severe illness.

Finding Long-COVID: Temporal Topic Modeling of Electronic Health Records from the N3C and RECOVER Programs (preprint)

Post-Acute Sequelae of SARS-CoV-2 infection (PASC), also known as Long-COVID, encompasses a variety of complex and varied outcomes following COVID-19 infection that are still poorly understood.

COVID-19 diagnosis prior to TJA may increase complication risk

Results presented here showed patients who underwent total hip or knee arthroplasty within 2 weeks of a COVID-19 diagnosis were at an increased risk for venous thromboembolism, sepsis and surgical site infection.

The Impact of COVID-19 on Total Hip and Knee Arthroplasty: A Comprehensive Study

Recent research presented at the American Academy of Orthopaedic Surgeons Annual Meeting has shed light on the complications associated with patients who undergo total hip or knee arthroplasty within two weeks of a COVID-19 diagnosis.

Booster Vaccines Effective for Severe COVID-19 During Delta, Omicron Periods

COVID-19 booster vaccines were highly effective against breakthrough infection and adverse outcomes during the Delta-predominant period and offered a lesser degree of protection during the Omicron period, researchers reported in Open Forum Infectious Diseases.

The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset

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.

The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset

SSRI Use During Acute COVID-19 Infection Associated with Lower Risk of Long COVID Among Patients with Depression

Long COVID, also known as post-acute sequelae of COVID-19 (PASC), is a poorly understood condition with symptoms across a range of biological domains that often have debilitating consequences.

More N3C In the News

Planning to Publish or Present Research Results? Here's how to find the policies.

Take 1 Minute!

Navigate to covid.cd2h.org
Hover over "Resources"
Click on "Policies, Agreements, Forms"

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

Browse Recent N3C Publications

Please report any questions, gaps, or errors to n3c.pubs@gmail.com

Gain Access to N3C Google Drive

Click Here

Off-board from N3C

Click Here

Report a Concern

Click Here

Have something you'd like featured in the N3Connect Bulletin?

Submit it to taylor.dupree@cuanschutz.edu for consideration.

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.

Visit the N3C Website

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.

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