NFDI4DS | UHH-SEMS - Publication Details

Mark M. Bissell

ORCID: 0000-0002-7134-9280

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A5074737298

Research Areas

COVID-19 Clinical Research Studies
COVID-19 and healthcare impacts
Long-Term Effects of COVID-19
COVID-19 Impact on Reproduction
Data-Driven Disease Surveillance
Maternal and fetal healthcare
Sepsis Diagnosis and Treatment
Machine Learning in Healthcare
Healthcare cost, quality, practices
COVID-19 diagnosis using AI
Ovarian function and disorders
COVID-19 epidemiological studies
Heparin-Induced Thrombocytopenia and Thrombosis
Mobile Health and mHealth Applications
Hemophilia Treatment and Research
Reproductive Biology and Fertility
Venous Thromboembolism Diagnosis and Management
Global Cancer Incidence and Screening
Chronic Disease Management Strategies
Healthcare Systems and Challenges
Body Contouring and Surgery
Chronic Obstructive Pulmonary Disease (COPD) Research
Telemedicine and Telehealth Implementation
Cardiac, Anesthesia and Surgical Outcomes
Maternal Mental Health During Pregnancy and Postpartum

Collaborative Research Group
2024

Cohort (United Kingdom)
2024

Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative

OPENALEX - Publications

Tellen D. Bennett Richard A. Moffitt Janos Hajagos Benjamin Amor Adit Anand and 95 more

The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granularity electronic health record repository that the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools inform clinical care policy.

10.1001/jamanetworkopen.2021.16901 article EN cc-by-nc-nd JAMA Network Open 2021-07-13

The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction

OPENALEX - Publications

Tellen D. Bennett Richard A. Moffitt Janos Hajagos Benjamin Amor Adit Anand and 40 more

The majority of U.S. reports COVID-19 clinical characteristics, disease course, and treatments are from single health systems or focused on one domain. Here we report the creation National COVID Cohort Collaborative (N3C), a centralized, harmonized, high-granularity electronic record repository that is largest, most representative cohort cases controls to date. This multi-center dataset supports robust evidence-based development predictive diagnostic tools informs critical care policy.In...

10.1101/2021.01.12.21249511 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2021-01-13

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative

OPENALEX - Publications

Emily Pfaff Andrew T. Girvin Davera Gabriel Kristin Kostka Michele Morris and 83 more

Abstract Objective In response to COVID-19, the informatics community united aggregate as much clinical data possible characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now largest publicly available HIPAA limited dataset in US history with over 6.4 million patients a testament partnership of 100 organizations. Materials Methods We developed pipeline for ingesting, harmonizing, centralizing from 56...

10.1093/jamia/ocab217 article EN cc-by-nc Journal of the American Medical Informatics Association 2021-09-23

Association of Early Aspirin Use With In-Hospital Mortality in Patients With Moderate COVID-19

OPENALEX - Publications

Jonathan H. Chow Ali Rahnavard Mardi Gomberg‐Maitland Ranojoy Chatterjee Pranay Patodi and 83 more

Prior observational studies suggest that aspirin use may be associated with reduced mortality in high-risk hospitalized patients COVID-19, but aspirin's efficacy moderate COVID-19 is not well studied.To assess whether early lower odds of in-hospital COVID-19.Observational cohort study 112 269 enrolled from January 1, 2020, through September 10, 2021, at 64 health systems the United States participating National Institute Health's COVID Cohort Collaborative (N3C).Aspirin within first day...

10.1001/jamanetworkopen.2022.3890 article EN cc-by-nc-nd JAMA Network Open 2022-03-24

Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset

OPENALEX - Publications

Katie R. Bradwell Jacob T. Wooldridge Benjamin Amor Tellen D. Bennett Adit Anand and 18 more

Abstract Objective The goals of this study were to harmonize data from electronic health records (EHRs) into common units, and impute units that missing. Materials Methods National COVID Cohort Collaborative (N3C) table laboratory measurement data—over 3.1 billion patient over 19 000 unique concepts in the Observational Medical Outcomes Partnership (OMOP) common-data-model format 55 partners. We grouped ontologically similar OMOP together for 52 variables relevant COVID-19 research,...

10.1093/jamia/ocac054 article EN cc-by-nc Journal of the American Medical Informatics Association 2022-04-14

Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age

OPENALEX - Publications

Tianchu Lyu Chen Liang Jihong Liu Peiyin Hung Jiajia Zhang and 95 more

10.1016/j.ajog.2023.02.022 article EN American Journal of Obstetrics and Gynecology 2023-03-29

Who is pregnant? Defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C)

OPENALEX - Publications

Sara Jones Katie R. Bradwell Lauren Chan Julie A. McMurry Courtney Olson‐Chen and 95 more

Abstract Objectives To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C). Materials Methods We developed a comprehensive approach, named Hierarchy rule-based episode Inference integrated with Pregnancy Progression Signatures (HIPPS), applied it to EHR in N3C (January 1, 2018–April 7, 2022). HIPPS combines: (1) an extension of previously published algorithm, (2) novel algorithm detect...

10.1093/jamiaopen/ooad067 article EN cc-by JAMIA Open 2023-07-04

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

OPENALEX - Publications

Miranda Kunz Kollin W. Rott Eric Hurwitz Ken M. Kunisaki Jing Sun and 95 more

10.1007/s10461-024-04266-6 article EN AIDS and Behavior 2024-02-07

Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C)

OPENALEX - Publications

Jason Thomas Randi E. Foraker Noa Zamstein Jon D. Morrow Philip Payne and 93 more

Abstract Objective This study sought to evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for geospatial and temporal epidemic analyses. Materials Methods Using an original (n = 1 854 968 severe acute respiratory syndrome 2 tests) its derivative, we compared key indicators of COVID-19 community spread through analysis aggregate zip code-level curves, patient characteristics outcomes, distribution tests by code, indicator counts...

10.1093/jamia/ocac045 article EN Journal of the American Medical Informatics Association 2022-03-29

Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study

OPENALEX - Publications

Xiaotong Zhang Alfred Anzalone Daisy Dai Gary L Cochran Ran Dai and 95 more

Patients with coronavirus disease 2019 (COVID-19) often experience persistent symptoms, known as postacute sequelae of COVID-19 or long COVID, after severe acute respiratory syndrome 2 (SARS-CoV-2) infection. Chronic lung (CLD) has been identified in small-scale studies a potential risk factor for COVID. This large-scale retrospective cohort study using the National COVID Cohort Collaborative data evaluated link between CLD and over 6 months SARS-CoV-2 We included adults (aged ≥18 years) who...

10.1093/ofid/ofae424 article EN cc-by Open Forum Infectious Diseases 2024-07-30

Racial and Ethnic and Rural Variations in the Use of Hybrid Prenatal Care in the US

OPENALEX - Publications

Peiyin Hung Jiani Yu Sayward E. Harrison Jihong Liu Adiba Promiti and 95 more

Importance Understanding whether there are racial and ethnic residential disparities in prenatal telehealth uptake is necessary for ensuring equitable access guiding implementation of future hybrid (ie, both in-person) care. Objective To assess temporal changes individuals using care before during the COVID-19 public health emergency (PHE) by race ethnicity residence location US. Design, Setting, Participants This retrospective cohort study analyzed electronic record data visits from...

10.1001/jamanetworkopen.2024.49243 article EN cc-by-nc-nd JAMA Network Open 2024-12-06

Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population

OPENALEX - Publications

Amanda J. Vinson Alfred Anzalone Makayla Schissel Ran Dai Evan French and 95 more

Exogenous estrogen is associated with reduced coronavirus disease (COVID) mortality in nonimmunosuppressed/immunocompromised (non-ISC) postmenopausal females. Here, we examined the association of or testosterone hormone replacement therapy (HRT) COVID outcomes solid organ transplant recipients (SOTRs) compared to non-ISC individuals, given known differences sex-based risk these populations. SOTRs ≥45 years old COVID-19 between April 1, 2020 and July 31, 2022 were identified using National...

10.1016/j.ajt.2023.04.020 article EN cc-by-nc-nd American Journal of Transplantation 2023-04-26

National Trends in Anticoagulation Therapy for COVID-19 Hospitalized Adults in the United States: Analyses of the National COVID Cohort Collaborative

OPENALEX - Publications

Eileen Lee Benjamin Bates Nathaniel Kuhrt Kathleen M. Andersen Aayush Visaria and 95 more

Abstract Background Anticoagulation (AC) utilization patterns and their predictors among hospitalized coronavirus disease 2019 (COVID-19) patients have not been well described. Methods Using the National COVID Cohort Collaborative, we conducted a retrospective cohort study (2020–2022) to assess AC use identify factors associated with therapeutic employing modified Poisson regression. Results Among 162 842 COVID-19 patients, 64% received 24% AC. Therapeutic declined from 32% in 2020 12% 2022,...

10.1093/infdis/jiad194 article EN The Journal of Infectious Diseases 2023-06-02

Risk of severe acute respiratory syndrome coronavirus 2 infection among women with polycystic ovary syndrome

OPENALEX - Publications

Snigdha Alur-Gupta Mary Regina Boland Anuja Dokras Melissa Haendel Christopher G. Chute and 82 more

10.1016/j.fertnstert.2023.01.025 article EN publisher-specific-oa Fertility and Sterility 2023-01-21

COVID-19 outcomes in persons with hemophilia: results from a US-based national COVID-19 surveillance registry

OPENALEX - Publications

Anjali Sharathkumar Linder Wendt Chris Ortman Ragha Srinivasan Christopher G. Chute and 95 more

10.1016/j.jtha.2023.04.040 article EN publisher-specific-oa Journal of Thrombosis and Haemostasis 2023-05-13

Outcomes of patients with active cancers and pre-existing cardiovascular diseases infected with SARS-CoV-2

OPENALEX - Publications

Brijesh Patel Scott A. Chapman Jake T. Neumann Aayush Visaria Oluwabunmi Ogungbe and 95 more

Abstract Objective To determine the impact of acute SARS-CoV-2 infection on patient with concomitant active cancer and CVD. Methods The researchers extracted analyzed data from National COVID Cohort Collaborative (N3C) database between January 1, 2020, July 22, 2022. They included only patients infection, defined as a positive test by PCR 21 days before 5 after day index hospitalization. Active cancers were last drug administered within 30 admission. “Cardioonc” group consisted CVD cancers....

10.1186/s40959-023-00187-w article EN cc-by Cardio-Oncology 2023-10-06

Characterizing the impact of SARS-CoV-2 reinfection on surgical outcomes

OPENALEX - Publications

Xin Ran Li Tahseen Shaik Bethany Canales Xin Yang Anikó Szabó and 95 more

The COVID-19 pandemic has changed the delivery of surgical care.Early in pandemic, an association between SARS-CoV-2 infection and adverse postoperative outcomes prompted implementation risk mitigation strategies, including routine asymptomatic testing postponement procedures 1-3 .In May 2023, WHO declared end to global public health emergency; however, disease's implications with regard perioperative care persist.As novel variants emerge, understanding influence reinfection on is important...

10.1093/bjs/znad436 article EN British journal of surgery 2024-01-01

Tree-based classification model for Long-COVID infection prediction with age stratification using data from the national COVID cohort collaborative (N3C)

OPENALEX - Publications

Will Ke Wang Hayoung Jeong Leeor Hershkovich Peter Cho Karnika Singh and 95 more

We propose and validate a domain knowledge-driven classification model for diagnosing post-acute sequelae of SARS-CoV-2 infection (PASC), also known as Long COVID, using Electronic Health Records (EHRs) data.

10.1093/jamiaopen/ooae111 article EN cc-by-nc JAMIA Open 2024-10-08

Nonelective coronary artery bypass graft outcomes are adversely impacted by Coronavirus disease 2019 infection, but not altered processes of care: A National COVID Cohort Collaborative and National Surgery Quality Improvement Program analysis

OPENALEX - Publications

Emily A. Grimsley Johnathan V. Torikashvili Haroon Janjua Meagan Read Anai N. Kothari and 95 more

ObjectiveThe effects of Coronavirus disease 2019 (COVID-19) infection and altered processes care on nonelective coronary artery bypass grafting (CABG) outcomes remain unknown. We hypothesized that patients with COVID-19 would have longer hospital lengths stay greater mortality compared COVID-negative patients, but these not differ between pre-COVID controls.MethodsThe National COVID Cohort Collaborative 2020-2022 was queried for adult undergoing CABG. Patients were divided into...

10.1016/j.xjon.2023.09.020 article EN cc-by-nc-nd JTCVS Open 2023-09-22

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