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Nathalie Conrad

Nathalie Conrad

Contact information

Email
nathalie.conrad@wrh.ox.ac.uk

Research groups and committees

NDWRH Data science theme

NDWRH Cardiovascular theme

European Society of Cardiology, Data Science Committee

Open DPhil projects

Immune-mediated inflammatory conditions and cardiovascular risk
Socioeconomic disparities and its impact on health

Funding

The Wellcome Trust, The British Heart Foundation, The European Union (Marie Skłodowska-Curie Actions), The Research Foundation Flanders (FWO).

Nathalie Conrad

MSc, DPhil, FESC

Associate Professor

Research

Prof. Nathalie Conrad is Associate Professor in health data science and epidemiology.

Prof. Conrad’s group focuses on large-scale data analyses to study cardiovascular disease epidemiology, disease trajectories and risk factors, with a particular focus on women’s cardiovascular health. Projects include investigations of women-specific risk factors in the development cardiovascular diseases, or the role of maternal health in the development of offspring congenital heart defects.

Key studies by Prof. Conrad and her group include research on cardiovascular risks in patients with autoimmune diseases, autoimmune disease epidemiology, long-term trends in cardiovascular disease burden, or the epidemiology of heart failure, investigating how sex and socio-economic differences impact disease incidence, care delivery and outcomes.

Prof. Conrad holds a PhD in medical sciences from Oxford University, an engineering Master’s degree from the Swiss Federal Institute of Technology (ETH Zurich), and previous work experience as a data analytics consultant at IBM.

Key publications

Trends in cardiovascular disease incidence among 22 million people in the UK over 20 years: population based study.

Conrad N. et al, (2024), BMJ, 385

Gout and incidence of 12 cardiovascular diseases: a case-control study including 152 663 individuals with gout and 709 981 matched controls.

Ferguson LD. et al, (2024), Lancet Rheumatol, 6, e156 - e167

Incidence, prevalence, and co-occurrence of autoimmune disorders over time and by age, sex, and socioeconomic status: a population-based cohort study of 22 million individuals in the UK.

Conrad N. et al, (2023), Lancet, 401, 1878 - 1890

immune diseases and cardiovascular risk: a population-based study on 19 autoimmune diseases and 12 cardiovascular diseases in 22 million individuals in the UK.

Conrad N. et al, (2022), Lancet, 400, 733 - 743

Recent publications

First trimester maternal infections and offspring congenital heart defects: a meta-analysis.

Su H. et al, (2026), Eur Heart J, 47, 794 - 812

Health inequalities and trends in heart failure diagnosis in primary care in England, 2000-21: a national retrospective cohort data-linkage study.

Lawson CA. et al, (2025), Lancet Prim Care, 1

The changing spectrum of cardiovascular diseases.

Conrad N. et al, (2025), Lancet, 406, 2040 - 2043

Clonal Hematopoiesis and Risk of New-Onset Myocarditis and Pericarditis.

Schuermans A. et al, (2025), JAMA Cardiol, 10, 1147 - 1156

Global, regional, and national prevalence of child and adolescent overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021.

GBD 2021 Adolescent BMI Collaborators ., (2025), Lancet, 405, 785 - 812

Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021.

GBD 2021 Adult BMI Collaborators ., (2025), Lancet, 405, 813 - 838

Contemporary epidemiology of hospitalised heart failure with reduced versus preserved ejection fraction in England: a retrospective, cohort study of whole-population electronic health records.

Fletcher RA. et al, (2024), Lancet Public Health, 9, e871 - e885

Trends in cardiovascular disease incidence among 22 million people in the UK over 20 years: population based study.

Conrad N. et al, (2024), BMJ, 385

Gout and incidence of 12 cardiovascular diseases: a case-control study including 152 663 individuals with gout and 709 981 matched controls.

Ferguson LD. et al, (2024), Lancet Rheumatol, 6, e156 - e167

First trimester maternal infections and offspring congenital heart defects: a systematic review and meta-analysis

Su H. et al, (2024), EUROPEAN HEART JOURNAL, 45

Incidence, prevalence, and co-occurrence of autoimmune disorders over time and by age, sex, and socioeconomic status: a population-based cohort study of 22 million individuals in the UK.

Conrad N. et al, (2023), Lancet, 401, 1878 - 1890

Patients with a range of rheumatic diseases are at increased risk of cardiovascular disorders towards a re-evaluation of the European League against Rheumatism (EULAR)'s recommendations for cardiovascular risk management?

Conrad N. et al, (2023), Ann Rheum Dis, 82, 457 - 459

Cardiovascular risk in systemic autoimmune diseases - Authors' reply.

Conrad N. and McMurray JJV., (2023), Lancet, 401

immune diseases and cardiovascular risk: a population-based study on 19 autoimmune diseases and 12 cardiovascular diseases in 22 million individuals in the UK.

Conrad N. et al, (2022), Lancet, 400, 733 - 743

Multi-morbidity and blood pressure trajectories in hypertensive patients: A multiple landmark cohort study.

Tran J. et al, (2021), PLoS Med, 18

Self-reported and objectively measured physical activity in people with and without chronic heart failure: UK Biobank analysis.

O'Donnell J. et al, (2020), Open Heart, 7

Deep learning for electronic health records: A comparative review of multiple deep neural architectures.

Ayala Solares JR. et al, (2020), J Biomed Inform, 101

Temporal Trends and Patterns in Mortality After Incident Heart Failure: A Longitudinal Analysis of 86 000 Individuals.

Conrad N. et al, (2019), JAMA Cardiol, 4, 1102 - 1111

Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients.

Conrad N. et al, (2019), PLoS Med, 16

Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients

Conrad N. et al, (2019), PLoS Medicine

Home monitoring with IT-supported specialist management versus home monitoring alone in patients with heart failure: Design and baseline results of the SUPPORT-HF 2 randomized trial.

SUPPORT-HF 2 Investigators and Committees. Electronic address: kazem.rahimi@georgeinstitute.ox.ac.uk ., (2019), Am Heart J, 208, 55 - 64

Patterns and temporal trends of comorbidity among adult patients with incident cardiovascular disease in the UK between 2000 and 2014: A population-based cohort study.

Tran J. et al, (2018), PLoS Med, 15

Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals.

Conrad N. et al, (2018), Lancet, 391, 572 - 580

Elevated blood pressure and risk of mitral regurgitation: A longitudinal cohort study of 5.5 million United Kingdom adults.

Rahimi K. et al, (2017), PLoS Med, 14

Referral for Specialist Follow-up and Its Association With Post-discharge Mortality Among Patients With Systolic Heart Failure (from the National Heart Failure Audit for England and Wales).

Emdin CA. et al, (2017), Am J Cardiol, 119, 440 - 444

Impact of missed treatment opportunities on outcomes in hospitalised patients with heart failure.

Walker S. et al, (2017), Open Heart, 4

Variation in hospital performance for heart failure management in the National Heart Failure Audit for England and Wales.

Emdin CA. et al, (2017), Heart, 103, 55 - 62

Blood Pressure and Risk of Vascular Dementia: Evidence From a Primary Care Registry and a Cohort Study of Transient Ischemic Attack and Stroke.

Emdin CA. et al, (2016), Stroke, 47, 1429 - 1435

Nonlinear Exposure-Outcome Associations and Public Health Policy.

Kiran A. et al, (2016), JAMA, 315, 1287 - 1288

Creating connections - the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study.

Chantler T. et al, (2016), Digit Health, 2

ser-centred home monitoring and self-management system for patients with heart failure: a multicentre cohort study.

Rahimi K. et al, (2015), Eur Heart J Qual Care Clin Outcomes, 1, 66 - 71

personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study.

Triantafyllidis A. et al, (2015), Int J Med Inform, 84, 743 - 753

Usual blood pressure, peripheral arterial disease, and vascular risk: cohort study of 4.2 million adults.

Emdin CA. et al, (2015), BMJ, 351

Risk prediction in patients with heart failure: a systematic review and analysis.

Rahimi K. et al, (2014), JACC Heart Fail, 2, 440 - 446

Risk prediction in patients with heart failure: A systematic review and analysis

Rahimi K. et al, (2014), JACC: Heart Failure, 2, 440 - 446

More publications