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Assistant Professor Alicia Uijl

Amsterdam University Medical Centre, Amsterdam (Netherlands (The))

Member of:

Heart Failure Association

Alicia is assistant professor and clinical epidemiologist at the Julius Center for Primary Care and Health Sciences, University Medical Center Utrecht. She is associated with the BigData@Heart consortium of the Innovative Medicines Initiative. Main fields of interest are heart failure, electronic health records, real-world data, phenotyping, causal inference and personalised medicine. In 2016 Alicia Uijl started her PhD project on Opportunities and Challenges of Real-world Data in Heart Failure in Utrecht. She was under supervision of prof. dr. F.W. Asselbergs, prof. dr. A.W. Hoes, dr. S. Koudstaal and dr. I. Vaartjes. During her PhD she worked at the Institute for Health Informatics at University College London with CALIBER and CPRD data, United Kingdom, with prof. Spiros Denaxas. She also studied the Swedish Heart Failure registry at Karolinska Institutet, Sweden, working together with dr. Gianluigi Savarese and prof. dr. Lars Lund. In June 2020 she succesfully defended her PhD.

Identifying distinct clinical subgroups in heart failure with reduced ejection fraction

Event: Heart Failure 2023

Topic: Heart Failure with Reduced Ejection Fraction (HFrEF)

Session: Heart failure with reduced ejection fraction (HFrEF) 3

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Identifying distinct clinical subgroups in heart failure with mildly reduced ejection fraction

Event: Heart Failure 2022

Topic: Heart Failure with Mid-Range Ejection Fraction (HFmrEF)

Session: Heart Failure ePosters - focus on Chronic Heart Failure 5

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Europe.

Event: Heart Failure 2021

Topic: Risk Factors and Prevention

Session: Prevention from heart failure 2: population attributable risk around the world

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Association between phenotypic clusters and treatment response in heart failure with preserved ejection fraction

Event: Heart Failure 2021

Topic: Epidemiology, Prognosis, Outcome

Session: Chronic Heart Failure - Epidemiology, Prognosis, Outcome

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Risk of stroke in patients with chronic heart failure and sinus rhythm: clinical prediction model based on the Swedish heart failure (Swede-HF) registry

Event: Heart Failure 2019

Topic: Epidemiology, Prognosis, Outcome

Session: Rapid Fire 7 - Improving our insights: biomarkers, imaging, scores

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A registry-based algorithm to predict ejection fraction in electronic health records

Event: Heart Failure 2019

Topic: Epidemiology, Prognosis, Outcome

Session: Chronic Heart Failure – Epidemiology, Prognosis, Outcome

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