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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.
Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PRO, Pfaff ER, Robinson PN, Saltz JH, Spratt H, Suver C, Wilbanks J, Wilcox AB, Williams AE, Wu C, Blacketer C, Bradford RL, Cimino JJ, Clark M, Colmenares EW, Francis PA, Gabriel D, Graves A, Hemadri R, Hong SS, Hripscak G, Jiao D, Klann JG, Kostka K, Lee AM, Lehmann HP, Lingrey L, Miller RT, Morris M, Murphy SN, Natarajan K, Palchuk MB, Sheikh U, Solbrig H, Visweswaran S, Walden A, Walters KM, Weber GM, Zhang XT, Zhu RL, Amor B, Girvin AT, Manna A, Qureshi N, Kurilla MG, Michael SG, Portilla LM, Rutter JL, Austin CP, Gersing KR; N3C Consortium. Haendel MA, et al. J Am Med Inform Assoc. 2021 Mar 1;28(3):427-443. doi: 10.1093/jamia/ocaa196. J Am Med Inform Assoc. 2021. PMID: 32805036 Free PMC article.
Statistical, machine learning, and causal analyses are most successful with large-scale data beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level d …
Statistical, machine learning, and causal analyses are most successful with large-scale data beyond what is available in any given organizat …
Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes.
Reese JT, Blau H, Casiraghi E, Bergquist T, Loomba JJ, Callahan TJ, Laraway B, Antonescu C, Coleman B, Gargano M, Wilkins KJ, Cappelletti L, Fontana T, Ammar N, Antony B, Murali TM, Caufield JH, Karlebach G, McMurry JA, Williams A, Moffitt R, Banerjee J, Solomonides AE, Davis H, Kostka K, Valentini G, Sahner D, Chute CG, Madlock-Brown C, Haendel MA, Robinson PN; N3C Consortium; RECOVER Consortium. Reese JT, et al. EBioMedicine. 2023 Jan;87:104413. doi: 10.1016/j.ebiom.2022.104413. Epub 2022 Dec 21. EBioMedicine. 2023. PMID: 36563487 Free PMC article.
Editorial: The National COVID Cohort Collaborative Consortium Combines Population Data with Machine Learning to Evaluate and Predict Risk Factors for the Severity of COVID-19.
Parums DV. Parums DV. Med Sci Monit. 2021 Aug 2;27:e934171. doi: 10.12659/MSM.934171. Med Sci Monit. 2021. PMID: 34334785 Free PMC article.
In July 2021, the findings from a retrospective population study from the National COVID Cohort Collaborative (N3C) Consortium were published that included analysis by machine learning methods of 174,568 adults with SARS-CoV-2 infection from 34 medical centers in th …
In July 2021, the findings from a retrospective population study from the National COVID Cohort Collaborative (N3C) Consortium …
Who is pregnant? Defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C).
Jones SE, Bradwell KR, Chan LE, McMurry JA, Olson-Chen C, Tarleton J, Wilkins KJ, Ly V, Ljazouli S, Qin Q, Faherty EG, Lau YK, Xie C, Kao YH, Liebman MN, Mariona F, Challa AP, Li L, Ratcliffe SJ, Haendel MA, Patel RC, Hill EL; N3C Consortium. Jones SE, et al. JAMIA Open. 2023 Aug 16;6(3):ooad067. doi: 10.1093/jamiaopen/ooad067. eCollection 2023 Oct. JAMIA Open. 2023. PMID: 37600074 Free PMC article.
OBJECTIVES: To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C). MATERIALS AND METHODS: We developed a comprehensive approach, named Hierarchy and rule-based pregnancy episo …
OBJECTIVES: To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Coh …
Generalizable Long COVID Subtypes: Findings from the NIH N3C and RECOVER Programs.
Reese JT, Blau H, Bergquist T, Loomba JJ, Callahan T, Laraway B, Antonescu C, Casiraghi E, Coleman B, Gargano M, Wilkins KJ, Cappelletti L, Fontana T, Ammar N, Antony B, Murali TM, Karlebach G, McMurry JA, Williams A, Moffitt R, Banerjee J, Solomonides AE, Davis H, Kostka K, Valentini G, Sahner D, Chute CG, Madlock-Brown C, Haendel MA, Robinson PN; RECOVER Consortium. Reese JT, et al. medRxiv [Preprint]. 2022 Jul 20:2022.05.24.22275398. doi: 10.1101/2022.05.24.22275398. medRxiv. 2022. PMID: 35665012 Free PMC article. Updated. Preprint.
Identifying who has long COVID in the USA: a machine learning approach using N3C data.
Pfaff ER, Girvin AT, Bennett TD, Bhatia A, Brooks IM, Deer RR, Dekermanjian JP, Jolley SE, Kahn MG, Kostka K, McMurry JA, Moffitt R, Walden A, Chute CG, Haendel MA; N3C Consortium. Pfaff ER, et al. Lancet Digit Health. 2022 Jul;4(7):e532-e541. doi: 10.1016/S2589-7500(22)00048-6. Epub 2022 May 16. Lancet Digit Health. 2022. PMID: 35589549 Free PMC article.
Studies of electronic health records are a crucial element of the US National Institutes of Health's RECOVER Initiative, which is addressing the urgent need to understand long COVID, identify treatments, and accurately identify who has it-the latter is the aim of this study. METH …
Studies of electronic health records are a crucial element of the US National Institutes of Health's RECOVER Initiative, which is addressing …
Comparative Effectiveness of Dexamethasone in Treatment of Hospitalized COVID-19 Patients during the First Year of the Pandemic: The N3C Data Repository.
Zhou R, Johnson KE, Rousseau JF, Rathouz PJ; N3C Consortium. Zhou R, et al. medRxiv [Preprint]. 2022 Oct 24:2022.10.22.22281373. doi: 10.1101/2022.10.22.22281373. medRxiv. 2022. PMID: 36324806 Free PMC article. Updated. Preprint.
METHODS: We conducted a retrospective real-world effectiveness analysis using the harmonized, highly granular electronic health record data of the National COVID Cohort Collaborative (N3C) Data Enclave. Analysis was restricted to COVID-19 patients in an inpatient setting, …
METHODS: We conducted a retrospective real-world effectiveness analysis using the harmonized, highly granular electronic health record data …
Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study.
Hill EL, Mehta HB, Sharma S, Mane K, Singh SK, Xie C, Cathey E, Loomba J, Russell S, Spratt H, DeWitt PE, Ammar N, Madlock-Brown C, Brown D, McMurry JA, Chute CG, Haendel MA, Moffitt R, Pfaff ER, Bennett TD; N3C Consortium; and the RECOVER Consortium. Hill EL, et al. BMC Public Health. 2023 Oct 25;23(1):2103. doi: 10.1186/s12889-023-16916-w. BMC Public Health. 2023. PMID: 37880596 Free PMC article.
METHODS: This was a retrospective case-control study including 31 health systems in the United States from the National COVID Cohort Collaborative (N3C). 8,325 individuals with PASC (defined by the presence of the International Classification of Diseases, version 10 code U …
METHODS: This was a retrospective case-control study including 31 health systems in the United States from the National COVID Cohort Collabo …
Drug-drug interaction between dexamethasone and direct-acting oral anticoagulants: a nested case-control study in the National COVID Cohort Collaborative (N3C).
Kravchenko OV, Boyce RD, Gomez-Lumbreras A, Kocis PT, Villa Zapata L, Tan M, Leonard CE, Andersen KM, Mehta H, Alexander GC, Malone DC; N3C consortium. Kravchenko OV, et al. BMJ Open. 2022 Dec 29;12(12):e066846. doi: 10.1136/bmjopen-2022-066846. BMJ Open. 2022. PMID: 36581417 Free PMC article.
SETTING: This study was conducted in the National COVID Cohort Collaborative (N3C), the largest electronic health records repository for COVID-19 in the USA. ...
SETTING: This study was conducted in the National COVID Cohort Collaborative (N3C), the largest electronic health records repository …
Predictive models of long COVID.
Antony B, Blau H, Casiraghi E, Loomba JJ, Callahan TJ, Laraway BJ, Wilkins KJ, Antonescu CC, Valentini G, Williams AE, Robinson PN, Reese JT, Murali TM; N3C consortium. Antony B, et al. EBioMedicine. 2023 Oct;96:104777. doi: 10.1016/j.ebiom.2023.104777. Epub 2023 Sep 4. EBioMedicine. 2023. PMID: 37672869 Free PMC article.
The SHAP method identified age, gender, cough, fatigue, albuterol, obesity, diabetes, and chronic lung disease as explanatory features. Models trained on data from one N3C partner and tested on data from the other partners had average AUROC of 0.75. ...
The SHAP method identified age, gender, cough, fatigue, albuterol, obesity, diabetes, and chronic lung disease as explanatory features. Mode …
87 results