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The adverse impact of COVID-19 pandemic on cardiovascular disease prevention and management in England, Scotland and Wales: A population-scale descriptive analysis of trends in medication data
Caroline E Dale; Rohan Takhar; Ray Carragher; Fatemeh Torabi; Michalis Katsoulis; Stephen Duffield; Seamus Kent; Tanja Mueller; Amanj Kurdi; Stuart McTaggart; Hoda Abbasizanjani; Sam Hollings; Andrew Scourfield; Ronan Lyons; Rowena Griffiths; Jane Lyons; Gareth Davies; Dan Harris; Alex Handy; Mehrdad Alizadeh Mizani; Chris Tomlinson; Mark Ashworth; Spiros Denaxas; Amitava Banerjee; Jonathan Sterne; Kate Lovibond; Paul Brown; Ian Bullard; Rouven Priedon; Mamas A Mamas; Ann Slee; Paula Lorgelly; Munir Pirmohamed; Kamlesh Khunti; Naveed Sattar; Andrew Morris; Cathie Sudlow; Ashley Akbari; Marion Bennie; Reecha Sofat; - CVD-COVID-UK Consortium.
Afiliación
  • Caroline E Dale; Institute of Health Informatics Research, University College London
  • Rohan Takhar; Institute of Health Informatics Research, University College London
  • Ray Carragher; Strathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde
  • Fatemeh Torabi; Swansea University
  • Michalis Katsoulis; Institute of Health Informatics Research, University College London
  • Stephen Duffield; NICE
  • Seamus Kent; NICE
  • Tanja Mueller; University of Strathclyde
  • Amanj Kurdi; Strathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde
  • Stuart McTaggart; Public Health Scotland
  • Hoda Abbasizanjani; Swansea University
  • Sam Hollings; NHS Digital, Leeds
  • Andrew Scourfield; UCLH NHS Foundation Trust
  • Ronan Lyons; Swansea University
  • Rowena Griffiths; Swansea University
  • Jane Lyons; Swansea University
  • Gareth Davies; Swansea University
  • Dan Harris; Swansea University
  • Alex Handy; Institute of Health Informatics Research, University College London
  • Mehrdad Alizadeh Mizani; Institute of Health Informatics Research, University College London
  • Chris Tomlinson; Institute of Health Informatics Research, University College London
  • Mark Ashworth; King's College London
  • Spiros Denaxas; Institute of Health Informatics Research, University College London
  • Amitava Banerjee; University College London
  • Jonathan Sterne; University of Bristol
  • Kate Lovibond; Royal College of Physicians
  • Paul Brown; NHS Digital, Leeds
  • Ian Bullard; NHS Digital
  • Rouven Priedon; British Heart Foundation Data Science Centre, Health Data Research UK, London
  • Mamas A Mamas; Keele University
  • Ann Slee; NHSX
  • Paula Lorgelly; Department of Applied Health Research, University College London
  • Munir Pirmohamed; University of Liverpool
  • Kamlesh Khunti; University of Leicester
  • Naveed Sattar; University of Glasgow
  • Andrew Morris; Health Data Research UK
  • Cathie Sudlow; British Heart Foundation Data Science Centre, Health Data Research UK, London
  • Ashley Akbari; Swansea University
  • Marion Bennie; University of Strathclyde
  • Reecha Sofat; Institute of Health Informatics Research, University College London
  • - CVD-COVID-UK Consortium;
Preprint en Inglés | medRxiv | ID: ppmedrxiv-21268587
ABSTRACT
ObjectivesTo estimate the impact of the COVID-19 pandemic on cardiovascular disease (CVD) and CVD management using routinely collected medication data as a proxy. DesignDescriptive and interrupted time series analysis using anonymised individual-level population-scale data for 1.32 billion records of dispensed CVD medications across 15.8 million individuals in England, Scotland and Wales. SettingCommunity dispensed CVD medications with 100% coverage from England, Scotland and Wales, plus primary care prescribed CVD medications from England (including 98% English general practices). Participants15.8 million individuals aged 18+ years alive on 1st April 2018 dispensed at least one CVD medicine in a year from England, Scotland and Wales. Main outcome measuresMonthly counts, percent annual change (1st April 2018 to 31st July 2021) and annual rates (1st March 2018 to 28th February 2021) of medicines dispensed by CVD/ CVD risk factor; prevalent and incident use. ResultsYear-on-year change in dispensed CVD medicines by month were observed, with notable uplifts ahead of the first (11.8% higher in March 2020) but not subsequent national lockdowns. Using hypertension as one example of the indirect impact of the pandemic, we observed 491,203 fewer individuals initiated antihypertensive treatment across England, Scotland and Wales during the period March 2020 to end May 2021 than would have been expected compared to 2019. We estimated that this missed antihypertension treatment could result in 13,659 additional CVD events should individuals remain untreated, including 2,281 additional myocardial infarctions (MIs) and 3,474 additional strokes. Incident use of lipid-lowering medicines decreased by an average 14,793 per month in early 2021 compared with the equivalent months prior to the pandemic in 2019. In contrast, the use of incident medicines to treat type-2 diabetes (T2DM) increased by approximately 1,642 patients per month. ConclusionsManagement of key CVD risk factors as proxied by incident use of CVD medicines has not returned to pre-pandemic levels in the UK. Novel methods to identify and treat individuals who have missed treatment are urgently required to avoid large numbers of additional future CVD events, further adding indirect cost of the COVID-19 pandemic.
Licencia
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Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Experimental_studies / Estudio pronóstico Idioma: Inglés Año: 2022 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Experimental_studies / Estudio pronóstico Idioma: Inglés Año: 2022 Tipo del documento: Preprint
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