Twitter thread summarising key results
📣 COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
Proud to share this work with @johanhilge @SpirosDenaxas @BHFDataScience @HDR_UK + team in @LancetDigitalHhttps://t.
Twitter thread
📜 Evaluation of antithrombotic use and #COVID19 outcomes in a nationwide atrial fibrillation cohort
Great new study in @Heart_BMJ from Alex Handy @UCL_IHI using data from @BHFDataScience @HDR_UK CVD-COVID-UK consortium
Twitter thread by Prof Ami Banerjee summarising key results
PREPRINT.Our latest research led by @mehrdad_mizani with a big @BHFDataScience @HDR_UK team. Using National Electronic Health Records for Pandemic Preparedness:Validation of a Parsimonious Model for Predicting Excess Deaths Among Those With COVID-19.
📊 Metrics
📺 BHF Data Science Centre seminar by Prof Reecha Sofat and Dr Caroline Dale
📊 Metrics
📺 BHF Data Science Centre seminar by Dr Samantha Ip & Dr Hoda Abbasizanjani
❗ Now published in The Lancet Digital Health
Johan H Thygesen, Christopher Tomlinson, Sam Hollings, Mehrdad Mizani, Alex Handy, Ashley Akbari, Amitava Banerjee, Jennifer Cooper, Alvina Lai, Ken Li, Bilal Mateen, Naveed Sattar, Reecha Sofat, Ana Torralbo, Honghan Wu, Angela Wood, Jonathan A C Sterne, Christina Pagel, William Whiteley, Cathie Sudlow, Harry Hemingway, Spiros Denaxas, on behalf of the CVD-COVID-UK Consortium (2022).
❗ Now published in Heart
Alex Handy, Amitava Banerjee, Angela Wood, Caroline Dale, Cathie Sudlow, Christopher Tomlinson, Daniel Bean, Johan H Thygesen, Mehrdad A Mizani, Michail Katsoulis, Rohan Takhar, Sam Hollings, Spiros Denaxas, Venexia Walker, Richard Dobson, Reecha Sofat & CVD-COVID-UK Consortium (2022).
Contributing clinical experience, data wrangling and analytical skills to development of COVID-19 Severity phenotypes from linked EHR data for 54 million patients in England.