OUR NEW PAPER. Factors associated with COVID-19-related hospital death in the linked electronic health records of 17 MILLION adult NHS patients. Largest study of its kind ever, anywhere. The power of UK / NHS data, realised.
This swarm of tie fighters from our new study in 17.4 MILLION adults shows you which diseases and demographic factors are most associated with death in hospital from COVID-19. THREAD above
These selection pressures can throw up some weird associations and may be partly responsible for some of those already observed such as smoking appearing protective ( ) and ACE-inhibitors appearing harmful ()
OpenSAFELY:factors associated with #COVID19-related hospital death of 17 million adults patients Analyses des facteurs pronostiques ⚫️À droite de la ligne:mauvais ⚫️Sur la ligne:pas de différence ⚫️À gauche:bon A lire en entier➡️
So, our paper out today on risk factors for death from COVID-19. The largest analysis ever done, on 17.4 MILLION adults' full pseudonymised records. UK data in action! How did we do it? Innovation, collaboration, and listening...
Huge new cohort study into risk factors for COVID mortality . Most unexpected finding is current smoking may be 'protective' (adj HR 0.88, [0.79-0.99]). Before everyone lights up, here's an exploration of the biases that could explain this association 1/8
Following the brilliant webinar yesterday featuring ⁦⁩ ⁦⁩ ⁦⁩ and ⁦⁩ this paper Again highlights the disproportionate deaths of #BME people. We are beginning to understand why.
Risk factors for COVID-19 death revealed in world’s largest analysis of patient records to date: PrePrint 17.4 million UK adults 5707 deaths: Men / Increasing age / Obese / Uncontrolled diabetes / Chronic heart disease / Severe asthma.
New: preprint suggests population-based ^ risk of bad outcome with COVID19 mostly NOT attributable to pre-existing conditions, and that bad outcomes in non-white populations may stem from over-representation in high risk jobs + household density, etc.
This study is quite incredible, and will immediately begin to influence policy. But 26% of people didn't have ethnicity recorded - may not make a huge difference to a population study, but will make digging deeper difficult
Impressive preprint of study showing speedy collaborative efforts to study mortality risks from covid in 17 million nhs adults from Feb to April OpenSAFELY: factors associated with COVID-19-related hospital death| medRxiv
Close-up on just impact of cancer (heme and non-heme malignancies) and #COVID19 mortality from huge database from the National Health Service. #ccc19 Full paper link below with many other factors evaluated.
God I need a sandwich. I will explain in a moment how we did it. This is the hardest, fastest, most amazing project I've ever been a part of, across many organisations. Must eat. Barely stopped for six weeks. Back in one mo.
OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients. #medRxiv
COVID19-related death: a population-based study. why is the exit of containment not personalised based on these risk factors ? Cancer pts present an increased risk of covid mortality (with the limitation that they are sometimes rejected for ventilation)
Probably the most important paper on factors associated with COVID-19 so far - using the TPP system in the U.K. of 17 million adult NHS patients Essential reading
FIRST WEEK METRICS on our new primary care data analytics platform. 29,710 site visitors. 47,031 page views. 2,024 page views for code. 3,713 AltMetric score for our paper.
This is an very important and excellent piece of work using the UK’s TPP primary care database OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients
This is likely going to be important paper. this is pre-review version. point of learning who is dying and risk factors is so that we make sure to address risks before we increase social interactions again.
Before you take up smoking: benefit went away after adjustment for ethnicity (which wasn’t done in main analysis 2/2 incomplete data) You may as well read the whole thing, it’s a short and interesting read
OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients.
OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients.
. is a new #opensource platform for analyzing medical records while respecting patient privacy. It was the key to this new study of #COVID19 risks among 17 million patients in the UK.
Soit dit en passant, c'est aussi ce qu'ils auraient dû faire avec l'âge, dont il est tout à fait clair sur la base d'autres études (e. g. ) que l'effet sur la mortalité augmente beaucoup plus vite que linéairement. 32/n